AI Training Dataset Market

Report Code TC 9212
Published in Oct, 2024, By MarketsandMarkets™
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AI Training Dataset Market by Dataset Creation (Data Collection, Data Annotation, Synthetic Data Generation), Dataset Selling (Off-the-Shelf Datasets, Dataset Marketplaces), Data Modality (Text, Image, Video, Audio, Multimodal) - Global Forecast to 2029

 

Overview

The AI training dataset market size is estimated to be USD 2.82 billion in 2024 and is set to register a CAGR of 27.7% over the forecast period to reach USD 9.58 billion by 2029. The key propellant of this market is the adoption of synthetically generated datasets, which have become especially crucial in industries that require sensitive or near impossible to attain real-world data. In healthcare, for instance, synthetic data is utilized to create medical images that closely resemble real medical scenarios but do not contravene privacy laws such as the GDPR or HIPAA. Such datasets have opened up new opportunities for enterprises to create AI models geared toward specialized diagnosis and treatment suggestions without revealing patients’ private information. Similar trends are being observed in the autonomous driving sector, where synthetic datasets are used to simulate extreme or hazardous driving situations that are unsafe to observe in real life yet are essential in comprehensively training AI systems. Adopting synthetic datasets has eased dataset accessibility while cutting costs and time spent on manually collecting and labeling data. The push for bias-free and diverse multimodal datasets to support advanced AI applications, such as content recommendation and personal assistants, are other factors driving the market.

AI training datasets are vast volumes of data used to teach AI systems to recognize patterns, make decisions, and improve over time. The AI training dataset market includes both dataset creation and dataset selling. Dataset creation involves collection, labeling, synthetic generation, and augmentation to produce high-quality datasets for AI model training. Dataset selling includes off-the-shelf (OTS) datasets for immediate use and dataset marketplaces for trading or acquiring tailored data.

AI Training Dataset Market

Attractive Opportunities in the AI Training Dataset Market

ASIA PACIFIC

The demand for AI training datasets in Asia Pacific is driven by rapid growth in e-commerce, smart city initiatives, and AI-powered healthcare. Industries like autonomous driving and robotics also require vast datasets, particularly in countries like China and Singapore, fueling the region’s market expansion.

Vendors offering synthetic data generation, multimodal data solutions, and bias detection tools are well-positioned to capitalize on the AI training dataset market.

Multimodal datasets for advanced AI, bias-free data for ethical AI, synthetic data to address privacy, edge AI data for IoT, and real-time data for dynamic applications like finance are likely to become hot bets in the future.

Synthetic data is reshaping the AI dataset market by solving data scarcity and privacy issues. Industries like healthcare and autonomous driving use it to enable faster AI development without high costs or data risks.

Ensuring fair and ethical AI outcomes is driving demand for datasets that represent varied demographics, particularly in sensitive areas like hiring, law enforcement, and financial services.

Impact of AI on AI Training Dataset Market

DATA AUGMENTATION FOR IMAGE RECOGNITION

Generative AI creates diverse image variations, enhancing computer vision models for more accurate object detection and classification.

SYNTHETIC TEXT GENERATION FOR NLP

Generative AI generates varied text data to train models on language patterns, improving natural language understanding and conversational AI capabilities.

SPEECH AND AUDIO DATA SYNTHESIS

Generative AI produces audio samples with different accents and tones, enhancing voice recognition and speech-to-text models.

SIMULATED USER INTERACTION DATA

Generative AI creates synthetic conversational data for chatbots to improve response accuracy and handling of diverse user inputs.

BIAS MITIGATION IN DATASETS

Generative AI generates balanced data to counteract biases, ensuring fairer AI model training across different demographic segments.

SCENARIO TESTING FOR PREDICTIVE MODELS

Generative AI produces synthetic data to test AI models under rare or hypothetical scenarios, improving robustness and predictive accuracy.

AI Training Dataset Market Impact

Global AI Training Dataset Market Dynamics

Driver: Spike in consumption of multimodal datasets for media-rich AI applications

A prominent driver for the AI training dataset market is the increasing utilization of multimodal AI training datasets, wherein images, texts, videos, and audio are included in building the datasets. Multimodal data is increasingly deployed in novel AI use cases that require the simultaneous use of multiple media types. For instance, Amazon’s Alexa and Google’s Assistant use auditory data for speech recognition, textual data for understanding commands, and visual images for personalized recommendations. Similarly, in healthcare, multimodal datasets are used for X-rays, CT, or MRI images, combined with structured information about the patient and the audio of the doctor’s dialogue with the patient. This allows AI tools to provide a diagnosis recommendation of a more contextually relevant and precise nature. This emphasizes the necessity of developing AI models that can process multiple forms of information at once. Due to the increasing complexity of AI use cases, this trend of multimodal dataset integration is gaining traction across other industries, especially in retail, media & entertainment, and smart home automation.

Restraint: Rapidly changing regulatory environment

A key restraint in the AI training dataset market is the growing intricacy of compliance requirements such as GDPR, CCPA, and the recently implemented EU AI Act. Such regulations place strict restrictions on data gathering, de-identification processes, and procedures on how the data is used during the AI training phase, especially in industries dealing with personally identifiable information (PII). For instance, medical data for AI models must be masked to a very high extent in order to satisfy privacy regulations, which automatically devalues the data and has an impact on the ability of the model to perform. Starting in August 2024, the EU AI Act has added multiple other layers of data scrutiny with a focus on high-risk AI systems. This is likely to make it even more difficult for enterprises to access and utilize diverse datasets without breaching regulatory requirements. In addition, the concern about data bias makes matters worse because it is very expensive and complicated to maintain the diversity of datasets and, at the same time, comply with very tight privacy regulations. All these problems act in unison, creating bottlenecks in the development of the AI training dataset market, especially in the case of heavily regulated industries.

 

Opportunity: Custom-built AI training datasets for novel AI use cases

One of the biggest opportunities in the AI training dataset market is the development of fine-tuned datasets for niche use cases. There is a substantial increase in the demand for specialized datasets with the rise of AI deployment across more focused areas like agriculture, pharma, and finance. Firms that can create and sell these unique datasets will be able to take advantage of vast unexplored markets that need these datasets, as general-purpose datasets are deficient. For instance, precision agriculture relies on AI datasets integrating satellite imagery, soil, and weather information for a higher yield, whilst drug discovery utilizes biochemical data for modeling molecular interactions to effectively develop new therapies. In financial services, AI-based systems aimed at detecting fraud use large quantities of data that reflect the client’s transaction behavior in real-time. As the emphasis on domain-focused AI continues to grow, there is a great opportunity for dataset providers to gain a strategic edge in these new market segments.

Challenge: Skewed training datasets leading to AI model drift or unethical bias

A major challenge in the AI training dataset market is the potential risks associated with data quality, fairness, focus, and bias. Bias or drift in data sets can lead to skewed outcomes and spurious results than intended. Amazon's hiring AI tool, which was found to disadvantage female applicants, was one such case. The recruitment algorithm was trained on datasets that consisted entirely of male resumes spanning the last decade. Hence, male candidates were preferred by the AI system when it came to recruitment, while resumes containing the word “women/female” were tagged as inferior by the system. Such cases have also demonstrated a further dimension of the problem — how biased training data can perpetuate existing inequalities that can damage corporate reputation. Bias in AI systems has also been reported in other areas, such as facial recognition systems, where darker-skinned individuals were disproportionally misidentified, leading to absurdities within the law. These instances emphasize the critical need for diversity and representativity in the datasets used to train AI, as well as rigorous levels of data auditing.

Global AI Training Dataset Market Ecosystem Analysis

The AI training dataset market ecosystem includes data collection platforms like AWS and Microsoft, labeling services like Appen and Snorkel, and synthetic data providers like Google and Gretel. Off-the-shelf datasets are offered by companies like Nexdata, while IBM and Kotwel provide full dataset services. Data augmentation tools like Roboflow further enhance the datasets, supporting the entire AI model training lifecycle.

Top Companies in AI Training Dataset Market

Source: Secondary Research, Interviews with Experts, and MarketsandMarkets Analysis

 

By dataset selling, off-the-shelf (OTS) datasets segment estimated to lead market in 2024

By dataset selling, the off-the-shelf (OTS) datasets segment is estimated to lead the AI training dataset market in 2024 owing to the ready availability and relatively inexpensive acquisition costs of OTS datasets. OTS datasets come pre-annotated for specific AI purposes, which helps enterprises save considerable effort and money that would have gone into acquiring, processing, and cleaning raw data and annotating it. As the use of artificial intelligence accelerates in a wider range of sectors, such as healthcare, banking, retail, and manufacturing, the demand for domain-specific high-quality datasets has increased. OTS datasets cater to this demand by offering diverse, industry-relevant data that can be deployed immediately, accelerating model development and reducing the risk of data quality issues. Their ability to address a wide gamut of use cases while reducing the initial cost, especially for SMEs/startups without large internal data repositories, makes them attractive for any organization that wishes to develop AI models in a short time scale, driving their prominence in the AI training dataset market.

By type, generative AI segment to register higher growth rate than other AI segment during forecast period

By type, the generative AI segment is expected to register a higher growth rate than the other AI segment in the AI training datasets market, driven by its importance in Large Language Model (LLM) fine-tuning. Using specialized datasets, LLMs can be fine-tuned to improve their foundational understanding capabilities for more specific tasks such as the categorization of legal documents, assisting customers, or task-specific chatbots. Enterprises can thus utilize existing robust models without having to bear the costs of building a new LLM from scratch, substantially reducing deployment timelines. Their expansion has further been driven by the growing demand for LLM fine-tuning to improve the accuracy and relevance of foundational models. The increasing volume of domain-specific datasets, as well as the evolution of fine-tuning techniques such as reinforcement learning from human feedback (RLHF), are also stimulating the market’s growth.

Asia Pacific to emerge as fastest-growing market during forecast period

The market for AI training datasets in the Asia Pacific is set to expand substantially as a result of hefty investments and proactive initiatives from enterprises. For instance, China’s autonomous driving sector is leveraging massive datasets like Baidu’s Apollo, which has recorded over 10 million kilometers of real-world driving data to train and refine self-driving algorithms. Additionally, India’s agritech sector is harnessing AI to tackle agricultural challenges. The Indian government-backed initiative AgriStack aims to create a digital ecosystem by compiling extensive datasets from soil conditions to crop growth patterns, which in turn powers AI solutions for farmers. Singapore's Smart Nation project is another case in point of a government policy aimed at enhancing data shareability by adopting an open data architecture. Private firms can thus utilize public datasets so that AI models optimized for urban management, transport, and health care can be developed faster. Another such example is the partnership of the RIKEN research institution in Japan with automotive giant Toyota to create datasets focused on advanced robotics and human-machine interaction. Asia Pacific’s emphasis on specialized, locally relevant datasets and strategic public-private collaborations are driving its fast-paced growth in the AI training dataset market.

HIGHEST CAGR MARKET DURING FORECAST PERIOD
INDIA FASTEST-GROWING MARKET IN THE REGION
AI Training Dataset Market Size and Share

Recent Developments of AI Training Dataset Market

  • In September 2024, Innodata launched its AI Data Marketplace, an innovative platform offering on-demand datasets designed to streamline AI/ML model training. With a focus on curated synthetic document datasets and plans for expansion, this marketplace empowers data science teams to tackle challenges related to data volume, variety, and privacy.
  • In September 2024, AWS enhanced AWS SageMaker Data Wrangler with several new features, such as the ability to create a Data Quality and Insights report, import data from Salesforce Data Cloud, and export data flows to inference endpoints. Additionally, it now supports importing data from SaaS platforms and Databricks, transforming time series data, and using Principal Component Analysis (PCA) as a transform method.
  • In March 2024, Appen introduced new platform capabilities designed to help enterprises customize large language models (LLMs) efficiently. Key enhancements include streamlined processes for model selection, data preparation, prompt creation, model optimization, and safety assurance, enabling organizations to leverage both proprietary data and Appen's crowd-curated data for improved AI application development.
  • In February 2024, Google and Reddit partnered to give Google access to Reddit's data API for more efficient AI model training, while Reddit gained access to Google's Vertex AI to enhance its search capabilities. This partnership supports Reddit's push to monetize its data and improve its business offerings.
  • In January 2024, NVIDIA released Nemotron-4 340B, an open model family that allows developers to generate synthetic data for training large language models (LLMs) across various industries. The models are optimized for use with NVIDIA NeMo, an open-source framework for end-to-end model training, and NVIDIA TensorRT-LLM for efficient inference at scale.
  • In November 2023, Appen partnered with Amazon Web Services (AWS) to enhance AI innovation by leveraging AWS's cloud capabilities for AI data sourcing, annotation, and model evaluation. This multi-year partnership will focus on developing high-quality training data solutions, including the new Assessment AI tool, which aims to streamline the qualification of domain experts at scale.

Key Market Players

List of Top AI Training Dataset Market Companies

The AI Training Dataset Market is dominated by a few major players that have a wide regional presence. The major players in the AI Training Dataset Market are

  • Google (US)
  • LXT (Canada)
  • IBM (US)
  • Microsoft (US)
  • NVIDIA (US)

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Scope of the Report

Report Attribute Details
Market size available for years 2019–2029
Base year considered 2023
Forecast period 2024–2029
Forecast units USD (Million)
Segments Covered Offering, Dataset Creation, Dataset Selling, Type, Data Modality, Annotation Type, End User, and Region
Regions covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

 

Key Questions Addressed by the Report

What is an AI training dataset?
AI training data is a set of information, or inputs, used to teach AI models to make accurate predictions or decisions. This data serves as the foundation for teaching AI systems to recognize patterns, make decisions, and improve over time. The AI training dataset market encompasses both data creation and data selling. Data creation includes processes like data collection, data labeling, synthetic data generation, and data augmentation, all of which are critical in generating high-quality datasets for training AI models. The data selling segment comprises off-the-shelf (OTS) datasets, which are readily available for immediate use, and dataset marketplaces, where organizations can acquire or trade tailored datasets.
What is the total CAGR expected to be recorded for the AI training dataset market during 2024-2029?
The AI training dataset market is expected to record a CAGR of 27.7% from 2024 to 2029.
What are the key drivers supporting the growth of the AI training dataset market?
The key factors driving the growth of the AI training dataset market include the Increasing need for diverse and continuously updated multimodal datasets for generative AI models, the rising use of multilingual datasets for conversational AI, growing demand for high-quality labeled data for autonomous vehicles, and the rising adoption of synthetic data for rare event simulation.
Which are the top three end users prevailing in the AI training dataset market?
The leading end users in the AI training dataset market include software and technology providers, healthcare and life sciences, and BFSI.
Who are the key vendors in the AI training dataset market?
Some major players in the AI training dataset market include Google (US), IBM (US), AWS (US), Microsoft (US), NVIDIA (US), Snorkel (US), Gretel (US), Shaip (US), Clickworker (US), Appen (Australia), Nexdata (US), Bitext (US), AIMLEAP (US), Deep Vision Data (US), Cogito Tech (US), Sama (US), Scale AI (US), Lionbridge Technologies (US), Alegion (US), TELUS International (Canada), iMerit (US), Labelbox (US), V7Labs (UK), Defined.ai (US), SuperAnnotate (US), LXT (Canada), Toloka AI (Netherlands), Innodata (US), Kili (France), HumanSignal (US), Superb AI (US), Hugging Face (US), CloudFactory (UK), FileMarket (Hong Kong), TagX (UAE), Roboflow (US), Supervisely (Estonia), Encord (UK), TransPerfect (US), Keylabs (Israel), and Data.world (US).

 

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Table Of Contents

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TITLE
PAGE NO
INTRODUCTION
43
RESEARCH METHODOLOGY
50
EXECUTIVE SUMMARY
62
PREMIUM INSIGHTS
70
MARKET OVERVIEW AND INDUSTRY TRENDS
73
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Increasing need for diverse and continuously updated multimodal datasets for generative AI models
    - Rising use of multilingual datasets in conversational AI
    - Growing demand for high-quality labeled data for autonomous vehicles
    - Rising adoption of synthetic data for rare event simulation
    RESTRAINTS
    - Legal risks of web-scraped data due to copyright infringement
    - Limited access to high-quality medical datasets due to HIPAA compliance
    OPPORTUNITIES
    - Growing demand for specialized data annotation services in diverse fields
    - Synthetic data generation and privacy-preserving techniques for augmented training data
    - Creation of customized AI datasets and specialized formats for enterprise solutions
    CHALLENGES
    - Data quality and relevance issues
    - Diverse dataset formats and inconsistent annotation practices
  • 5.3 EVOLUTION OF AI TRAINING DATASET
  • 5.4 SUPPLY CHAIN ANALYSIS
  • 5.5 ECOSYSTEM
    DATA COLLECTION SOFTWARE PROVIDERS
    DATA LABELING AND ANNOTATION SOFTWARE PROVIDERS
    OFF-THE-SHELF (OTS) DATASET PROVIDERS
    DATA COLLECTION SERVICE PROVIDERS
    DATA ANNOTATION & LABELLING SERVICE PROVIDERS
    DATA VALIDATION SERVICE PROVIDERS
  • 5.6 INVESTMENT AND FUNDING SCENARIO
  • 5.7 IMPACT OF GENERATIVE AI ON AI TRAINING DATASET MARKET
    DATA AUGMENTATION FOR IMAGE RECOGNITION
    SYNTHETIC TEXT GENERATION FOR NLP
    SPEECH AND AUDIO DATA SYNTHESIS
    SIMULATED USER INTERACTION DATA
    BIAS MITIGATION IN DATASETS
    SCENARIO TESTING FOR PREDICTIVE MODELS
  • 5.8 CASE STUDY ANALYSIS
    CASE STUDY 1: CLICKWORKER BOOSTS AI TRAINING DATASET FOR AUTOMOTIVE SYSTEMS, IMPROVING SPEECH RECOGNITION ACCURACY
    CASE STUDY 2: APPEN ENHANCES MICROSOFT TRANSLATOR WITH COMPREHENSIVE AI TRAINING DATASETS FOR 110 LANGUAGES
    CASE STUDY 3: COGITO TECH LLC ENHANCES CARDIAC SURGERY WITH AI-DRIVEN AORTIC VALVE DATASETS
    CASE STUDY 4: ENHANCING AI TRAINING DATASETS FOR PAIN REDUCTION THROUGH HINGE HEALTH'S SUCCESS WITH SUPERANNOTATE
    CASE STUDY 5: OUTREACH ENHANCES AI TRAINING WITH LABEL STUDIO
    CASE STUDY 6: ENCORD ADDRESSES KEY CHALLENGES IN SURGICAL VIDEO ANNOTATION FOR ENHANCED DATA QUALITY AND EFFICIENCY
  • 5.9 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Data labeling and annotation
    - Synthetic data generation
    - Data augmentation
    - Human-in-the-loop (HITL) feedback systems
    - Active learning
    - Data cleansing and preprocessing
    - Bias detection and mitigation
    - Dataset versioning and management
    COMPLEMENTARY TECHNOLOGIES
    - Cloud storage and data lakes
    - MLOps and model management
    - Data governance
    - Machine learning frameworks
    ADJACENT TECHNOLOGIES
    - Federated learning
    - Edge AI for data processing
    - Differential privacy
    - AutoML
    - Transfer learning
  • 5.10 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATIONS: AI TRAINING DATASET
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    - Latin America
  • 5.11 PATENT ANALYSIS
    METHODOLOGY
    PATENTS FILED, BY DOCUMENT TYPE
    INNOVATION AND PATENT APPLICATIONS
  • 5.12 PRICING ANALYSIS
    PRICING DATA, BY OFFERING
    PRICING DATA, BY PRODUCT TYPE
  • 5.13 KEY CONFERENCES AND EVENTS, 2025–2026
  • 5.14 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.16 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
AI TRAINING DATASET MARKET, BY OFFERING
128
  • 6.1 INTRODUCTION
    OFFERING: AI TRAINING DATASET MARKET DRIVERS
  • 6.2 SOFTWARE
    DATA COLLECTION SOFTWARE
    - Increasing demand for real-time, diverse, and domain-specific datasets to enhance AI model accuracy
    - Web scraping tools
    - Data sourcing API
    - Crowdsourcing platforms
    - Sensor data collection software
    DATA LABELING & ANNOTATION
    - Rising adoption of AI-assisted annotation tools and human-in-the-loop platforms for scalable data labeling to propel market
    - Image annotation
    - Text annotation
    - Video annotation
    - Audio annotation
    - 3D data annotation
    SYNTHETIC DATA GENERATION SOFTWARE
    - Growing need for privacy-compliant, bias-free, and scalable training data for AI applications
    DATA AUGMENTATION SOFTWARE
    - Demand for improving AI model generalization and performance with enriched, diverse datasets
    OFF-THE-SHELF (OTS) DATASETS
    - Accelerated AI adoption driving the need for pre-labeled, high-quality datasets to reduce development time and costs
  • 6.3 SERVICES
    DATA COLLECTION SERVICES
    - Expanding AI applications across industries to drive demand for domain-specific, high-quality training data
    DATA ANNOTATION & LABELING SERVICES
    - Growth in AI/ML adoption requiring scalable, human-in-the-loop annotation platforms for precise model training
    DATA VALIDATION SERVICES
    - Rising need for high-quality, bias-free, and consistent datasets to improve AI model reliability and compliance
    DATASET MARKETPLACES
    - Increasing demand for ready-to-use, pre-labeled datasets to accelerate AI model development and reduce time-to-market
AI TRAINING DATASET MARKET, BY ANNOTATION TYPE
152
  • 7.1 INTRODUCTION
    ANNOTATION TYPE: AI TRAINING DATASET MARKET DRIVERS
  • 7.2 PRE-LABELED DATASETS
    HIGH-QUALITY PRE-LABELED DATASETS ACCELERATE AI DEVELOPMENT ACROSS VARIOUS SECTORS
  • 7.3 UNLABELED DATASETS
    UNLABELED DATASETS ENABLE ROBUST AI MODEL TRAINING
  • 7.4 SYNTHETIC DATASETS
    ADVANCEMENTS IN GENERATIVE MODELS ENHANCE QUALITY OF SYNTHETIC DATASETS
AI TRAINING DATASET MARKET, BY DATA MODALITY
159
  • 8.1 INTRODUCTION
    DATA TYPE: AI TRAINING DATASET MARKET DRIVERS
  • 8.2 TEXT
    BUSINESSES PRIORITIZE CURATING DIVERSE, LABELED TEXT DATASETS TO ENHANCE MODEL ACCURACY
    TEXT CLASSIFICATION
    CHATBOTS
    SENTIMENT ANALYSIS
    DOCUMENT PARSING
    OTHER TEXT DATA MODALITIES
  • 8.3 IMAGE
    ADVANCEMENTS IN DEEP LEARNING TECHNIQUES, PARTICULARLY CONVOLUTIONAL NEURAL NETWORKS, ELEVATE ROLE OF IMAGE DATA IN AI DEVELOPMENT
    OBJECT DETECTION
    FACIAL RECOGNITION
    MEDICAL IMAGING
    SATELLITE IMAGERY
    OTHER IMAGE DATA MODALITIES
  • 8.4 AUDIO & SPEECH
    RISING POPULARITY OF VOICE-ACTIVATED TECHNOLOGIES FUELS DEMAND FOR DIVERSE, HIGH-QUALITY AUDIO DATASETS
    SPEECH RECOGNITION
    AUDIO CLASSIFICATION
    MUSIC GENERATION
    VOICE SYNTHESIS
    OTHER AUDIO & SPEECH DATA MODALITIES
  • 8.5 VIDEO
    SURGE IN DEMAND FOR HIGH-QUALITY LABELED VIDEO DATASETS AS ORGANIZATIONS SEEK TO HARNESS VIDEO CONTENT POTENTIAL
    ACTION RECOGNITION
    AUTONOMOUS DRIVING
    VIDEO SURVEILLANCE
    VIDEO CONTENT MODERATION
    OTHER VIDEO DATA MODALITIES
  • 8.6 MULTIMODAL
    RISING DEMAND FOR MULTIMODAL DATASETS BOOSTS INNOVATION AND ADVANCES IN AI APPLICATIONS
    SPEECH-TO-TEXT
    CONTENT RECOMMENDATION
    VISUAL QUESTION ANSWERING (VQA)
    MULTIMODAL ANALYTICS
    OTHER MULTIMODALITIES
AI TRAINING DATASET MARKET, BY TYPE
193
  • 9.1 INTRODUCTION
    TYPE: AI TRAINING DATASET MARKET DRIVERS
  • 9.2 GENERATIVE AI
    GENERATIVE AI REVOLUTIONIZES CREATIVITY ACROSS INDUSTRIES THROUGH DIVERSE TRAINING DATASETS
    LLM EVALUATION
    RAG OPTIMIZATION
    LLM FINE TUNING
    CONVERSATIONAL AGENTS
    CONTENT CREATION
    CODE GENERATION
    OTHER GENERATIVE AI
  • 9.3 OTHER AI
    RISING ROLE OF NLP AND COMPUTER VISION IN ENTERPRISE AI APPLICATIONS TO BOOST OTHER AI DATASET DEMAND
    NATURAL LANGUAGE PROCESSING (NLP)
    - Text classification
    - Named entity recognition (NER)
    - Sentiment analysis
    - Document parsing and extraction
    COMPUTER VISION
    - Image classification
    - Object detection
    - Video analysis
    - Optical character recognition (OCR)
    PREDICTIVE ANALYTICS
    - Time series forecasting
    - Anomaly detection
    - Customer behavior prediction
    - Risk scoring and management
    RECOMMENDATION SYSTEMS
    - Product and content recommendations
    - Personalized marketing and ads
    - Collaborative filtering
    SPEECH AND AUDIO PROCESSING
    - Speech recognition
    - Audio classification
    - Voice command recognition
    - Speech-to-text transcription
    OTHER TYPES
AI TRAINING DATASET MARKET, BY END USER
232
  • 10.1 INTRODUCTION
    END USER: AI TRAINING DATASET MARKET DRIVERS
  • 10.2 BFSI
    FINANCIAL INSTITUTIONS LEVERAGE AI TRAINING DATASETS TO ENHANCE FRAUD DETECTION AND RISK MANAGEMENT
    BANKING
    FINANCIAL SERVICES
    INSURANCE
  • 10.3 TELECOMMUNICATIONS
    TELECOM COMPANIES BOOST PERFORMANCE AND CUSTOMER SERVICES WITH AI-POWERED INTELLIGENT SYSTEMS
  • 10.4 GOVERNMENT & DEFENSE
    AI TRAINING DATASETS PROPEL ADVANCES IN NATIONAL SECURITY AND DEFENSE OPERATIONS
  • 10.5 HEALTHCARE & LIFE SCIENCES
    AI TRAINING DATASETS SPEARHEAD TRANSFORMATIVE BREAKTHROUGHS IN PRECISION MEDICINE AND DIAGNOSTICS
  • 10.6 MANUFACTURING
    AI TRAINING DATASETS DRIVE EFFICIENCY IN MANUFACTURING WITH AUTOMATION AND PREDICTIVE MAINTENANCE
  • 10.7 RETAIL & CONSUMER GOODS
    RETAILERS ENHANCE PERSONALIZED CUSTOMER EXPERIENCES WITH AI-DRIVEN RECOMMENDATIONS AND OPTIMIZED SUPPLY CHAINS
  • 10.8 SOFTWARE & TECHNOLOGY PROVIDERS
    INNOVATION ACCELERATES AS SOFTWARE AND TECHNOLOGY PROVIDERS HARNESS AI TRAINING DATASETS FOR CUTTING-EDGE SOLUTIONS
    CLOUD HYPERSCALERS
    FOUNDATION MODEL/LLM PROVIDERS
    AI TECHNOLOGY PROVIDERS
    IT & IT-ENABLED SERVICE PROVIDERS
  • 10.9 AUTOMOTIVE
    RAPID ADVANCEMENTS IN AUTONOMOUS VEHICLE DEVELOPMENT FUELED BY AI TRAINING DATASETS CAPTURING REAL-WORLD DRIVING BEHAVIORS AND CONDITIONS
  • 10.10 MEDIA & ENTERTAINMENT
    AI TRAINING DATASETS FUEL INNOVATION IN CONTENT CREATION ACROSS MEDIA, GAMING, AND ENTERTAINMENT INDUSTRIES
  • 10.11 OTHER END USERS
AI TRAINING DATASET MARKET, BY REGION
254
  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    NORTH AMERICA: AI TRAINING DATASET MARKET DRIVERS
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    - Reliance of companies across various sectors on large, diverse datasets to improve accuracy and performance of AI algorithms to drive market
    CANADA
    - Government focus on gathering insights from stakeholders to maximize AI investment benefits to drive market
  • 11.3 EUROPE
    EUROPE: AI TRAINING DATASET MARKET DRIVERS
    EUROPE: MACROECONOMIC OUTLOOK
    UK
    - Rising demand for quality data and innovative solutions from various sectors to drive market
    GERMANY
    - Industry demand, government support, and data privacy regulations to drive market
    FRANCE
    - Increasing adoption of AI solutions by tech companies and startups to maintain competitive edge
    ITALY
    - Advances in data collection and management enable companies to access diverse datasets tailored to various AI applications
    SPAIN
    - Strategic government initiatives and industry innovation to drive market
    NETHERLANDS
    - Focus on ethical AI and expanding digital infrastructure to accelerate demand for high-quality, diverse training datasets
    REST OF EUROPE
  • 11.4 ASIA PACIFIC
    ASIA PACIFIC: AI TRAINING DATASET MARKET DRIVERS
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    - Increasing demand for high-quality data for training models from various sectors to drive market
    JAPAN
    - Supportive government policies and strategic corporate initiatives to drive market
    INDIA
    - Increasing demand for AI solutions across various sectors to drive market
    SOUTH KOREA
    - Increasing AI adoption and necessity for high-quality datasets to drive market
    AUSTRALIA
    - Demand for quality data and ethical standards to drive market
    SINGAPORE
    - Initiatives like Infocomm Media Development Authority (IMDA) promote data literacy and use of AI
    REST OF ASIA PACIFIC
  • 11.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: AI TRAINING DATASET MARKET DRIVERS
    MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    MIDDLE EAST
    - UAE
    - Saudi Arabia
    - Qatar
    - Turkey
    - Rest of Middle East
    AFRICA
    - Increasing potential for AI application in various sectors to drive market
  • 11.6 LATIN AMERICA
    LATIN AMERICA: AI TRAINING DATASET MARKET DRIVERS
    LATIN AMERICA: MACROECONOMIC OUTLOOK
    BRAZIL
    - Growth in IT and healthcare sectors to drive market
    MEXICO
    - Government initiatives and private sector investments to drive market
    ARGENTINA
    - Government transparency initiatives and startup support to drive market
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
322
  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021–2024
  • 12.3 REVENUE ANALYSIS, 2019–2023
  • 12.4 MARKET SHARE ANALYSIS, 2023
    MARKET RANKING ANALYSIS
  • 12.5 PRODUCT COMPARATIVE ANALYSIS
    AWS SAGEMAKER (AWS)
    AI DATA PLATFORM (APPEN)
    SAMA PLATFORM (SAMA)
    DATA ENGINE, SCALE GEN AI PLATFORM (SCALE AI)
    IMERIT PLATFORMS (IMERIT)
  • 12.6 COMPANY VALUATION AND FINANCIAL METRICS, 2024
  • 12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    SOFTWARE PROVIDERS
    - Stars
    - Emerging leaders
    - Pervasive players
    - Participants
    COMPANY FOOTPRINT: KEY PLAYERS (SOFTWARE PROVIDERS), 2023
    - Company footprint (software providers)
    - Regional footprint (software providers)
    - Offering footprint (software providers)
    - Data modality footprint (software providers)
    - End-user footprint (software providers)
    SERVICE PROVIDERS
    - Stars
    - Emerging leaders
    - Pervasive players
    - Participants
    COMPANY FOOTPRINT: KEY PLAYERS (SERVICE PROVIDERS), 2023
    - Company footprint (service providers)
    - Regional footprint (service providers)
    - Offering footprint (service providers)
    - Data modality footprint (service providers)
    - End user footprint (service providers)
  • 12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    SOFTWARE PROVIDERS
    - Progressive companies
    - Responsive companies
    - Dynamic companies
    - Starting blocks
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    - Detailed list of key startups/SMEs (software providers)
    - Competitive Benchmarking Of Key Startups/Smes (Software Providers)
    SERVICE PROVIDERS
    - Progressive companies
    - Responsive companies
    - Dynamic companies
    - Starting blocks
    COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023
    - Detailed list of key start-ups/SMEs (Service Providers)
    - Competitive Benchmarking of Key Start-ups/SMEs (Service Providers)
  • 12.9 COMPETITIVE SCENARIO
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
COMPANY PROFILES
355
  • 13.1 INTRODUCTION
  • 13.2 KEY PLAYERS
    GOOGLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    APPEN
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    NVIDIA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    TELUS INTERNATIONAL
    - Business overview
    - Products/Solutions/Services offered
    INNODATA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    COGITO TECH
    - Business overview
    - Products/Solutions/Services offered
    SAMA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    CLICKWORKER
    TRANSPERFECT
    CLOUDFACTORY
    IMERIT
    SCALE AI
  • 13.3 STARTUPS/SMES
    SNORKEL AI
    GRETEL
    SHAIP
    NEXDATA
    BITEXT
    AIMLEAP
    ALEGION
    DEEP VISION DATA
    LABELBOX
    V7LABS
    DEFINED.AI
    SUPERANNOTATE
    TOLOKA AI
    KILI TECHNOLOGY
    HUMANSIGNAL
    SUPERB AI
    HUGGING FACE
    FILEMARKET
    TAGX
    ROBOFLOW
    SUPERVISELY
    ENCORD
    KEYLABS
    LXT
    VAISUAL
    DATUMO
    TWINE AI
    MOSTLY AI
    FUTUREBEEAI
    PIXTA AI
ADJACENT AND RELATED MARKETS
410
  • 14.1 INTRODUCTION
  • 14.2 DATA ANNOTATION AND LABELING MARKET
    MARKET DEFINITION
    MARKET OVERVIEW
    - Data annotation and labeling market, by component
    - Data annotation and labeling market, by data type
    - Data annotation and labeling market, by deployment type
    - Data annotation and labeling market, by organization size
    - Data annotation and labeling market, by annotation type
    - Data annotation and labeling market, by application
    - Data annotation and labeling market, by vertical
    - Data annotation and labeling market, by region
  • 14.3 SYNTHETIC DATA GENERATION MARKET
    MARKET DEFINITION
    MARKET OVERVIEW
    - Synthetic data generation market, by offering
    - Synthetic data generation market, by data type
    - Synthetic data generation market, by application
    - Synthetic data generation market, by vertical
    - Synthetic data generation market, by region
APPENDIX
425
  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 15.3 CUSTOMIZATION OPTIONS
  • 15.4 RELATED REPORTS
  • 15.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 AI TRAINING DATASET MARKET DETAILED SEGMENTATION
  • TABLE 2 USD EXCHANGE RATE, 2019–2023
  • TABLE 3 PRIMARY INTERVIEWS
  • TABLE 4 FACTOR ANALYSIS
  • TABLE 5 MARKET SIZE AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y %)
  • TABLE 6 MARKET SIZE AND GROWTH RATE, 2024–2029 (USD MILLION, Y-O-Y %)
  • TABLE 7 MARKET: ECOSYSTEM
  • TABLE 8 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 PATENTS FILED, 2015–2025
  • TABLE 14 LIST OF FEW PATENTS IN AI TRAINING DATASET MARKET, 2022–2024
  • TABLE 15 PRICING DATA OF AI TRAINING DATASETS, BY OFFERING
  • TABLE 16 PRICING DATA OF AI TRAINING DATASETS, BY PRODUCT TYPE
  • TABLE 17 MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2025–2026
  • TABLE 18 IMPACT OF PORTER’S FIVE FORCES ON MARKET
  • TABLE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • TABLE 20 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • TABLE 21 AI TRAINING DATASET MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 22 MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 23 SOFTWARE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 24 SOFTWARE: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 25 DATA COLLECTION SOFTWARE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 26 DATA COLLECTION SOFTWARE: : MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 27 WEB SCRAPING TOOLS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 28 WEB SCRAPING TOOLS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 29 DATA SOURCING API: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 30 DATA SOURCING API: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 31 CROWDSOURCING PLATFORMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 32 CROWDSOURCING PLATFORMS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 33 SENSOR DATA COLLECTION SOFTWARE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 34 SENSOR DATA COLLECTION SOFTWARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 35 DATA LABELING & ANNOTATION SOFTWARE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 36 DATA LABELING & ANNOTATION: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 37 IMAGE ANNOTATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 38 IMAGE ANNOTATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 39 TEXT ANNOTATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 40 TEXT ANNOTATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 41 VIDEO ANNOTATION: AI TRAINING DATASET MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 42 VIDEO ANNOTATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 43 AUDIO ANNOTATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 44 AUDIO ANNOTATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 45 3D DATA ANNOTATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 46 3D DATA ANNOTATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 47 SYNTHETIC DATA GENERATION SOFTWARE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 48 SYNTHETIC DATA GENERATION SOFTWARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 49 DATA AUGMENTATION SOFTWARE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 50 DATA AUGMENTATION SOFTWARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 51 OFF-THE-SHELF (OTS) DATASETS: AI TRAINING DATASET MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 52 OFF-THE-SHELF (OTS) DATASETS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 53 SERVICES: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 54 SERVICES: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 55 DATA COLLECTION SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 56 DATA COLLECTION SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 57 DATA ANNOTATION & LABELING SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 58 DATA ANNOTATION & LABELING SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 59 DATA VALIDATION SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 60 DATA VALIDATION SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 61 DATASET MARKETPLACES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 62 DATASET MARKETPLACES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 63 AI TRAINING DATASET MARKET, BY ANNOTATION TYPE, 2019–2023 (USD MILLION)
  • TABLE 64 MARKET, BY ANNOTATION TYPE, 2024–2029 (USD MILLION)
  • TABLE 65 PRE-LABELED DATASETS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 66 PRE-LABELED DATASETS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 67 UNLABELED DATASETS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 68 UNLABELED DATASETS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 69 SYNTHETIC DATASETS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 70 SYNTHETIC DATASETS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 71 MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 72 MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
  • TABLE 73 TEXT: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 74 TEXT: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 75 TEXT CLASSIFICATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 76 TEXT CLASSIFICATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 77 CHATBOTS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 78 CHATBOTS: AI TRAINING DATASET MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 79 SENTIMENT ANALYSIS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 80 SENTIMENT ANALYSIS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 81 DOCUMENT PARSING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 82 DOCUMENT PARSING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 83 OTHER TEXT DATA MODALITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 84 OTHER TEXT DATA MODALITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 85 IMAGE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 86 IMAGE: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 87 OBJECT DETECTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 88 OBJECT DETECTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 89 FACIAL RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 90 FACIAL RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 91 MEDICAL IMAGING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 92 MEDICAL IMAGING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 93 SATELLITE IMAGERY: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 94 SATELLITE IMAGERY: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 95 OTHER IMAGE DATA MODALITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 96 OTHER IMAGE DATA MODALITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 97 AUDIO & SPEECH: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 98 AUDIO & SPEECH: AI TRAINING DATASET MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 99 SPEECH RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 100 SPEECH RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 101 AUDIO CLASSIFICATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 102 AUDIO CLASSIFICATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 103 MUSIC GENERATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 104 MUSIC GENERATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 105 VOICE SYNTHESIS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 106 VOICE SYNTHESIS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 107 OTHER AUDIO & SPEECH DATA MODALITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 108 OTHER AUDIO & SPEECH DATA MODALITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 109 VIDEO: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 110 VIDEO: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 111 ACTION RECOGNITION: AI TRAINING DATASET MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 112 ACTION RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 113 AUTONOMOUS DRIVING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 114 AUTONOMOUS DRIVING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 115 VIDEO SURVEILLANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 116 VIDEO SURVEILLANCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 117 VIDEO CONTENT MODERATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 118 VIDEO CONTENT MODERATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 119 OTHER VIDEO DATA MODALITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 120 OTHER VIDEO DATA MODALITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 121 MULTIMODAL: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 122 MULTIMODAL: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 123 SPEECH-TO-TEXT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 124 SPEECH-TO-TEXT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 125 CONTENT RECOMMENDATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 126 CONTENT RECOMMENDATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 127 VISUAL QUESTION ANSWERING (VQA): MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 128 VISUAL QUESTION ANSWERING (VQA): AI TRAINING DATASET MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 129 MULTIMODAL ANALYTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 130 MULTIMODAL ANALYTICS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 131 OTHER MULTIMODALITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 132 OTHER MULTIMODALITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 133 GENERATIVE AI SEGMENT TO REGISTER HIGHER CAGR THAN OTHER AI SEGMENT DURING FORECAST PERIOD
  • TABLE 134 MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 135 MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 136 GENERATIVE AI: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 137 GENERATIVE AI: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 138 LLM EVALUATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 139 LLM EVALUATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 140 RAG OPTIMIZATION: AI TRAINING DATASET MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 141 RAG OPTIMIZATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 142 LLM FINE TUNING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 143 LLM FINE TUNING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 144 CONVERSATIONAL AGENTS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 145 CONVERSATIONAL AGENTS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 146 CONTENT CREATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 147 CONTENT CREATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 148 CODE GENERATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 149 CODE GENERATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 150 OTHER GENERATIVE AI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 151 OTHERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 152 OTHER AI: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 153 OTHER AI: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 154 NATURAL LANGUAGE PROCESSING: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 155 NATURAL LANGUAGE PROCESSING: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 156 TEXT CLASSIFICATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 157 TEXT CLASSIFICATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 158 NAMED ENTITY RECOGNITION (NER): MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 159 NAMED ENTITY RECOGNITION (NER): AI TRAINING DATASET MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 160 SENTIMENT ANALYSIS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 161 SENTIMENT ANALYSIS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 162 DOCUMENT PARSING AND EXTRACTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 163 DOCUMENT PARSING AND EXTRACTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 164 COMPUTER VISION: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 165 COMPUTER VISION: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 166 IMAGE CLASSIFICATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 167 IMAGE CLASSIFICATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 168 OBJECT DETECTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 169 OBJECT DETECTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 170 VIDEO ANALYSIS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 171 VIDEO ANALYSIS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 172 OPTICAL CHARACTER RECOGNITION (OCR): MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 173 OPTICAL CHARACTER RECOGNITION (OCR): MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 174 PREDICTIVE ANALYTICS: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 175 PREDICTIVE ANALYTICS: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 176 TIME SERIES FORECASTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 177 TIME SERIES FORECASTING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 178 ANOMALY DETECTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 179 ANOMALY DETECTION: AI TRAINING DATASET MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 180 CUSTOMER BEHAVIOR PREDICTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 181 CUSTOMER BEHAVIOR PREDICTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 182 RISK SCORING AND MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 183 RISK SCORING AND MANAGEMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 184 RECOMMENDATION SYSTEMS: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 185 RECOMMENDATION SYSTEMS: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 186 PRODUCT AND CONTENT RECOMMENDATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 187 PRODUCT AND CONTENT RECOMMENDATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 188 PERSONALIZED MARKETING AND ADS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 189 PERSONALIZED MARKETING AND ADS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 190 COLLABORATIVE FILTERING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 191 COLLABORATIVE FILTERING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 192 SPEECH AND AUDIO PROCESSING: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 193 SPEECH AND AUDIO PROCESSING: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 194 SPEECH RECOGNITION: AI TRAINING DATASET MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 195 SPEECH RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 196 AUDIO CLASSIFICATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 197 AUDIO CLASSIFICATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 198 VOICE COMMAND RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 199 VOICE COMMAND RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 200 SPEECH-TO-TEXT TRANSCRIPTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 201 SPEECH-TO-TEXT TRANSCRIPTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 202 OTHER TYPES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 203 OTHER TYPES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 204 MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 205 AI TRAINING DATASET MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 206 BFSI: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 207 BFSI: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 208 BANKING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 209 BANKING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 210 FINANCIAL SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 211 FINANCIAL SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 212 INSURANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 213 INSURANCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 214 TELECOMMUNICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 215 TELECOMMUNICATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 216 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 217 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 218 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 219 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 220 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 221 MANUFACTURING: AI TRAINING DATASET MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 222 RETAIL & CONSUMER GOODS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 223 RETAIL & CONSUMER GOODS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 224 SOFTWARE & TECHNOLOGY PROVIDERS: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 225 SOFTWARE & TECHNOLOGY PROVIDERS: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 226 CLOUD HYPERSCALERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 227 CLOUD HYPERSCALERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 228 FOUNDATION MODEL/LLM PROVIDERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 229 FOUNDATION MODEL/LLM PROVIDERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 230 AI TECHNOLOGY PROVIDERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 231 AI TECHNOLOGY PROVIDERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 232 IT & IT-ENABLED SERVICE PROVIDERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 233 IT & IT-ENABLED SERVICE PROVIDERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 234 AUTOMOTIVE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 235 AUTOMOTIVE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 236 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 237 MEDIA & ENTERTAINMENT: AI TRAINING DATASET MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 238 OTHER END USERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 239 OTHER END USERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 240 MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 241 MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 242 NORTH AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 243 NORTH AMERICA: AI TRAINING DATASET MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 244 NORTH AMERICA: MARKET, BY SOFTWARE, 2019–2023 (USD MILLION)
  • TABLE 245 NORTH AMERICA: MARKET, BY SOFTWARE, 2024–2029 (USD MILLION)
  • TABLE 246 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 247 NORTH AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 248 NORTH AMERICA: MARKET, BY ANNOTATION TYPE, 2019–2023 (USD MILLION)
  • TABLE 249 NORTH AMERICA: MARKET, BY ANNOTATION TYPE, 2024–2029 (USD MILLION)
  • TABLE 250 NORTH AMERICA: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 251 NORTH AMERICA: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
  • TABLE 252 NORTH AMERICA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 253 NORTH AMERICA: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 254 NORTH AMERICA: MARKET, BY GENERATIVE AI, 2019–2023 (USD MILLION)
  • TABLE 255 NORTH AMERICA: MARKET, BY GENERATIVE AI, 2024–2029 (USD MILLION)
  • TABLE 256 NORTH AMERICA: MARKET, BY OTHER AI, 2019–2023 (USD MILLION)
  • TABLE 257 NORTH AMERICA: MARKET, BY OTHER AI, 2024–2029 (USD MILLION)
  • TABLE 258 NORTH AMERICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 259 NORTH AMERICA: MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 260 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 261 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 262 US: AI TRAINING DATASET MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 263 US: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 264 CANADA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 265 CANADA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 266 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 267 EUROPE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 268 EUROPE: MARKET, BY SOFTWARE, 2019–2023 (USD MILLION)
  • TABLE 269 EUROPE: MARKET, BY SOFTWARE, 2024–2029 (USD MILLION)
  • TABLE 270 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 271 EUROPE: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 272 EUROPE: MARKET, BY ANNOTATION TYPE, 2019–2023 (USD MILLION)
  • TABLE 273 EUROPE: MARKET, BY ANNOTATION TYPE, 2024–2029 (USD MILLION)
  • TABLE 274 EUROPE: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 275 EUROPE: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
  • TABLE 276 EUROPE: AI TRAINING DATASET MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 277 EUROPE: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 278 EUROPE: MARKET, BY GENERATIVE AI, 2019–2023 (USD MILLION)
  • TABLE 279 EUROPE: MARKET, BY GENERATIVE AI, 2024–2029 (USD MILLION)
  • TABLE 280 EUROPE: MARKET, BY OTHER AI, 2019–2023 (USD MILLION)
  • TABLE 281 EUROPE: MARKET, BY OTHER AI, 2024–2029 (USD MILLION)
  • TABLE 282 EUROPE: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 283 EUROPE: MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 284 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 285 EUROPE: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 286 UK: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 287 UK: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 288 GERMANY: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 289 GERMANY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 290 FRANCE: AI TRAINING DATASET MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 291 FRANCE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 292 ITALY: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 293 ITALY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 294 SPAIN: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 295 SPAIN: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 296 NETHERLANDS: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 297 NETHERLANDS: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 298 REST OF EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 299 REST OF EUROPE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 300 ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 301 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 302 ASIA PACIFIC: MARKET, BY SOFTWARE, 2019–2023 (USD MILLION)
  • TABLE 303 ASIA PACIFIC: MARKET, BY SOFTWARE, 2024–2029 (USD MILLION)
  • TABLE 304 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 305 ASIA PACIFIC: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 306 ASIA PACIFIC: MARKET, BY ANNOTATION TYPE, 2019–2023 (USD MILLION)
  • TABLE 307 ASIA PACIFIC: MARKET, BY ANNOTATION TYPE, 2024–2029 (USD MILLION)
  • TABLE 308 ASIA PACIFIC: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 309 ASIA PACIFIC: AI TRAINING DATASET MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
  • TABLE 310 ASIA PACIFIC: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 311 ASIA PACIFIC: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 312 ASIA PACIFIC: MARKET, BY GENERATIVE AI, 2019–2023 (USD MILLION)
  • TABLE 313 ASIA PACIFIC: MARKET, BY GENERATIVE AI, 2024–2029 (USD MILLION)
  • TABLE 314 ASIA PACIFIC: MARKET, BY OTHER AI, 2019–2023 (USD MILLION)
  • TABLE 315 ASIA PACIFIC: MARKET, BY OTHER AI, 2024–2029 (USD MILLION)
  • TABLE 316 ASIA PACIFIC: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 317 ASIA PACIFIC: MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 318 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 319 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 320 CHINA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 321 CHINA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 322 JAPAN: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 323 JAPAN: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 324 INDIA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 325 INDIA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 326 SOUTH KOREA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 327 SOUTH KOREA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 328 AUSTRALIA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 329 AUSTRALIA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 330 SINGAPORE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 331 SINGAPORE: AI TRAINING DATASET MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 332 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 333 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 334 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 335 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 336 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2019–2023 (USD MILLION)
  • TABLE 337 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2024–2029 (USD MILLION)
  • TABLE 338 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 339 MIDDLE EAST & AFRICA: AI TRAINING DATASET MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 340 MIDDLE EAST & AFRICA: MARKET, BY ANNOTATION TYPE, 2019–2023 (USD MILLION)
  • TABLE 341 MIDDLE EAST & AFRICA: MARKET, BY ANNOTATION TYPE, 2024–2029 (USD MILLION)
  • TABLE 342 MIDDLE EAST & AFRICA: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 343 MIDDLE EAST & AFRICA: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
  • TABLE 344 MIDDLE EAST & AFRICA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 345 MIDDLE EAST & AFRICA: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 346 MIDDLE EAST & AFRICA: MARKET, BY GENERATIVE AI, 2019–2023 (USD MILLION)
  • TABLE 347 MIDDLE EAST & AFRICA: MARKET, BY GENERATIVE AI, 2024–2029 (USD MILLION)
  • TABLE 348 MIDDLE EAST & AFRICA: MARKET, BY OTHER AI, 2019–2023 (USD MILLION)
  • TABLE 349 MIDDLE EAST & AFRICA: MARKET, BY OTHER AI, 2024–2029 (USD MILLION)
  • TABLE 350 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 351 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 352 MIDDLE EAST & AFRICA: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 353 MIDDLE EAST & AFRICA: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 354 MIDDLE EAST: AI TRAINING DATASET MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 355 MIDDLE EAST: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 356 UAE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 357 UAE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 358 SAUDI ARABIA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 359 SAUDI ARABIA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 360 QATAR: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 361 QATAR: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 362 TURKEY: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 363 TURKEY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 364 REST OF MIDDLE EAST: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 365 REST OF MIDDLE EAST: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 366 AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 367 AFRICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 368 LATIN AMERICA: AI TRAINING DATASET MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 369 LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 370 LATIN AMERICA: MARKET, BY SOFTWARE, 2019–2023 (USD MILLION)
  • TABLE 371 LATIN AMERICA: MARKET, BY SOFTWARE, 2024–2029 (USD MILLION)
  • TABLE 372 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 373 LATIN AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 374 LATIN AMERICA: MARKET, BY ANNOTATION TYPE, 2019–2023 (USD MILLION)
  • TABLE 375 LATIN AMERICA: MARKET, BY ANNOTATION TYPE, 2024–2029 (USD MILLION)
  • TABLE 376 LATIN AMERICA: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 377 LATIN AMERICA: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
  • TABLE 378 LATIN AMERICA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
  • TABLE 379 LATIN AMERICA: MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 380 LATIN AMERICA: MARKET, BY GENERATIVE AI, 2019–2023 (USD MILLION)
  • TABLE 381 LATIN AMERICA: AI TRAINING DATASET MARKET, BY GENERATIVE AI, 2024–2029 (USD MILLION)
  • TABLE 382 LATIN AMERICA: MARKET, BY OTHER AI, 2019–2023 (USD MILLION)
  • TABLE 383 LATIN AMERICA: MARKET, BY OTHER AI, 2024–2029 (USD MILLION)
  • TABLE 384 LATIN AMERICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 385 LATIN AMERICA: MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 386 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 387 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 388 BRAZIL: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 389 BRAZIL: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 390 MEXICO: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 391 MEXICO: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 392 ARGENTINA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 393 ARGENTINA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 394 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 395 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 396 AI TRAINING DATASET MARKET: DEGREE OF COMPETITION
  • TABLE 397 MARKET: REGIONAL FOOTPRINT
  • TABLE 398 MARKET: OFFERING FOOTPRINT
  • TABLE 399 MARKET: DATA MODALITY FOOTPRINT
  • TABLE 400 MARKET: END-USER FOOTPRINT
  • TABLE 401 MARKET: REGIONAL FOOTPRINT
  • TABLE 402 MARKET: OFFERING FOOTPRINT
  • TABLE 403 MARKET: DATA MODALITY FOOTPRINT
  • TABLE 404 MARKET: END USER FOOTPRINT
  • TABLE 405 MARKET: KEY STARTUPS/SMES
  • TABLE 406 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • TABLE 407 MARKET: KEY START-UPS/SMES
  • TABLE 408 MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
  • TABLE 409 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2021–OCTOBER 2024
  • TABLE 410 MARKET: DEALS, JANUARY 2021–OCTOBER 2024
  • TABLE 411 GOOGLE: COMPANY OVERVIEW
  • TABLE 412 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 413 GOOGLE: PRODUCT ENHANCEMENTS
  • TABLE 414 GOOGLE: DEALS
  • TABLE 415 MICROSOFT: COMPANY OVERVIEW
  • TABLE 416 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 417 MICROSOFT: PRODUCT ENHANCEMENTS
  • TABLE 418 AWS: COMPANY OVERVIEW
  • TABLE 419 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 420 AWS: PRODUCT ENHANCEMENTS
  • TABLE 421 AWS: DEALS
  • TABLE 422 APPEN: COMPANY OVERVIEW
  • TABLE 423 APPEN: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 424 APPEN: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 425 APPEN: DEALS
  • TABLE 426 NVIDIA: COMPANY OVERVIEW
  • TABLE 427 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 428 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 429 IBM: COMPANY OVERVIEW
  • TABLE 430 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 431 TELUS INTERNATIONAL: COMPANY OVERVIEW
  • TABLE 432 TELUS INTERNATIONAL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 433 INNODATA: COMPANY OVERVIEW
  • TABLE 434 INNODATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 435 INNODATA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 436 COGITO TECH: COMPANY OVERVIEW
  • TABLE 437 COGITO TECH: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 438 SAMA: COMPANY OVERVIEW
  • TABLE 439 SAMA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 440 SAMA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 441 DATA ANNOTATION AND LABELING MARKET, BY COMPONENT, 2019–2021 (USD MILLION)
  • TABLE 442 DATA ANNOTATION AND LABELING MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
  • TABLE 443 DATA ANNOTATION AND LABELING MARKET, BY DATA TYPE, 2019–2021 (USD MILLION)
  • TABLE 444 DATA ANNOTATION AND LABELING MARKET, BY DATA TYPE, 2022–2027 (USD MILLION)
  • TABLE 445 DATA ANNOTATION AND LABELING MARKET, BY DEPLOYMENT TYPE, 2019–2021 (USD MILLION)
  • TABLE 446 DATA ANNOTATION AND LABELING MARKET, BY DEPLOYMENT TYPE, 2022–2027 (USD MILLION)
  • TABLE 447 DATA ANNOTATION AND LABELING MARKET, BY ORGANIZATION SIZE, 2019–2021 (USD MILLION)
  • TABLE 448 DATA ANNOTATION AND LABELING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
  • TABLE 449 DATA ANNOTATION AND LABELING MARKET, BY ANNOTATION TYPE, 2019–2021 (USD MILLION)
  • TABLE 450 DATA ANNOTATION AND LABELING MARKET, BY ANNOTATION TYPE, 2022–2027 (USD MILLION)
  • TABLE 451 DATA ANNOTATION AND LABELING MARKET, BY APPLICATION, 2019–2021 (USD MILLION)
  • TABLE 452 DATA ANNOTATION AND LABELING MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
  • TABLE 453 DATA ANNOTATION AND LABELING MARKET, BY VERTICAL, 2019–2021 (USD MILLION)
  • TABLE 454 DATA ANNOTATION AND LABELING MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
  • TABLE 455 DATA ANNOTATION AND LABELING MARKET, BY REGION, 2019–2021 (USD MILLION)
  • TABLE 456 DATA ANNOTATION AND LABELING MARKET, BY REGION, 2022–2027 (USD MILLION)
  • TABLE 457 SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 458 SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 459 SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2019–2022 (USD MILLION)
  • TABLE 460 SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
  • TABLE 461 SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 462 SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 463 SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 464 SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 465 SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 466 SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM PRODUCT TYPES OF AI TRAINING DATASET MARKET
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL PRODUCT TYPES OF MARKET
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL PRODUCT TYPES OF MARKET
  • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF AI TRAINING DATASETS THROUGH OVERALL AI SPENDING
  • FIGURE 8 SOFTWARE SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 9 DATASET LABELLING & ANNOTATION SOFTWARE SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 10 DATA LABELING & ANNOTATION SERVICES SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 11 PRE-LABELED DATASETS SEGMENT TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 12 TEXT DATA MODALITY SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 13 OTHER AI SEGMENT TO DOMINATE MARKET IN 2024
  • FIGURE 14 LLM FINE TUNING SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 15 NATURAL LANGUAGE PROCESSING SEGMENT TO EMERGE MARKET LEADER IN 2024
  • FIGURE 16 HEALTHCARE & LIFE SCIENCES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 17 ASIA PACIFIC TO REGISTER HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 18 SOARING DEMAND FOR HIGH-QUALITY, SCALABLE, AND PRIVACY-COMPLIANT DATASETS TO DRIVE MARKET
  • FIGURE 19 MULTIMODAL SEGMENT TO REGISTER HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 20 PRE-LABELED DATASETS AND SOFTWARE & TECHNOLOGY PROVIDERS TO ACCOUNT FOR LARGEST MARKET SHARES IN NORTH AMERICA IN 2024
  • FIGURE 21 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 22 AI TRAINING DATASET MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 23 EVOLUTION OF AI TRAINING DATASET
  • FIGURE 24 MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 25 MARKET: ECOSYSTEM
  • FIGURE 26 MARKET: INVESTMENT LANDSCAPE AND FUNDING SCENARIO (USD MILLION AND NUMBER OF FUNDING ROUNDS)
  • FIGURE 27 VALUATION OF PROMINENT AI TRAINING DATASET PROVIDERS
  • FIGURE 28 MARKET POTENTIAL OF GENERATIVE AI IN VARIOUS AI TRAINING DATASET USE CASES
  • FIGURE 29 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2015–2024
  • FIGURE 30 REGIONAL ANALYSIS OF PATENTS GRANTED, 2015–2024
  • FIGURE 31 AI TRAINING DATASET MARKET: PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 32 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • FIGURE 33 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • FIGURE 34 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 35 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 36 DATA LABELLING & ANNOTATION SOFTWARE TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 37 DATA COLLECTION SERVICES SEGMENT TO REGISTER HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 38 SYNTHETIC DATASETS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 39 MULTIMODAL SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 40 LLM FINE TUNING SEGMENT TO LEAD MARKET FROM 2024 TO 2029
  • FIGURE 41 RECOMMENDATION SYSTEMS TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 42 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST RATE DURING FORECAST PERIOD
  • FIGURE 43 NORTH AMERICA TO BE LARGEST MARKET DURING FORECAST PERIOD
  • FIGURE 44 INDIA TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD
  • FIGURE 45 NORTH AMERICA: AI TRAINING DATASET MARKET SNAPSHOT
  • FIGURE 46 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 47 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI TRAINING DATASET VENDORS, 2021–2024
  • FIGURE 48 MARKET: REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2019–2023
  • FIGURE 49 SHARE ANALYSIS OF LEADING COMPANIES IN MARKET, 2023
  • FIGURE 50 PRODUCT COMPARATIVE ANALYSIS
  • FIGURE 51 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 52 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 53 MARKET: COMPANY EVALUATION MATRIX, KEY PLAYERS (SOFTWARE PROVIDERS), 2023
  • FIGURE 54 MARKET: COMPANY FOOTPRINT
  • FIGURE 55 MARKET: COMPANY EVALUATION MATRIX, KEY PLAYERS (SERVICE PROVIDERS), 2023
  • FIGURE 56 MARKET: COMPANY FOOTPRINT
  • FIGURE 57 MARKET: COMPANY EVALUATION MATRIX, STARTUPS/SMES (SOFTWARE PROVIDERS), 2023
  • FIGURE 58 AI TRAINING DATASET MARKET: COMPANY EVALUATION MATRIX, START-UPS/SMES (SERVICE PROVIDERS), 2023
  • FIGURE 59 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 60 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 61 AWS: COMPANY SNAPSHOT
  • FIGURE 62 APPEN: COMPANY SNAPSHOT
  • FIGURE 63 NVIDIA: COMPANY SNAPSHOT
  • FIGURE 64 IBM: COMPANY SNAPSHOT
  • FIGURE 65 TELUS INTERNATIONAL: COMPANY SNAPSHOT
  • FIGURE 66 INNODATA: COMPANY SNAPSHOT

 

The research methodology for the global AI training dataset market report involved the use of extensive secondary sources and directories, as well as various reputed open-source databases, to identify and collect information useful for this technical and market-oriented study. In-depth interviews were conducted with various primary respondents, including key opinion leaders, subject matter experts on AI training data collection, data annotation & labelling, and synthetic data generation, high-level executives of multiple companies offering AI training datasets, and industry consultants to obtain and verify critical qualitative and quantitative information and assess the market prospects and industry trends.

Secondary Research

In the secondary research process, various secondary sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports; press releases and investor presentations of companies; white papers, certified publications such as Journal of Big Data, Journal of Artificial Intelligence Research, Data & Knowledge Engineering (DKE) Journal, Big Data and Cognitive Computing Journal, International Journal of Data Science and Analytics, and International Journal of Advances in Intelligent Informatics; and articles from recognized associations and government publishing sources including but not limited to AI Global, Global Initiative on Ethics of Autonomous and Intelligent Systems, Global Partnership on Artificial Intelligence, The Responsible AI Institute, European AI Alliance, AI for Good (United Nations), and World Economic Forum’s Whitepaper on Future of Mobility and Big Data.

The secondary research was used to obtain key information about the industry’s value chain, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from the market and technology-oriented perspectives.

Primary Research

In the primary research process, a diverse range of stakeholders from both the supply and demand sides of the AI training dataset ecosystem were interviewed to gather qualitative and quantitative insights specific to this market. From the supply side, key industry experts, such as chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology & innovation directors, as well as technical leads from vendors offering AI training dataset were consulted. Additionally, system integrators, service providers, and IT service firms that implement and support AI training datasets were included in the study. On the demand side, input from IT decision-makers, infrastructure managers, and AI/data analytics heads was collected to understand the user perspectives and adoption challenges within targeted industries.

The primary research ensured that all crucial parameters affecting the AI training dataset market—from technological advancements and evolving use cases (LLM fine-tuning, RAG, red teaming, computer vision, NLP) to regulatory and compliance needs (GDPR, EU AI Act, California Consumer Privacy Act etc.)—were considered. Each factor was thoroughly analyzed, verified through primary research, and evaluated to obtain precise quantitative and qualitative data for this market.

Once the initial phase of market engineering was completed, including detailed calculations for market statistics, segment-specific growth forecasts, and data triangulation, an additional round of primary research was undertaken. This step was crucial for refining and validating critical data points, such as AI training dataset offerings (data collection software & services, data annotation software & service, synthetic data generation software, Off-the-shelf (OTS) datasets, dataset marketplaces), industry adoption trends, the competitive landscape, and key market dynamics like demand drivers (Increasing demand for diverse and continuously updated multimodal datasets for generative AI models, rising adoption of synthetic data for rare event simulation etc.), challenges (Legal risks of web-scraped data due to copyright infringement, limited access to high-quality medical datasets due to HIPAA compliance, etc.), and opportunities (Growing demand for specialized data annotation services in diverse fields, synthetic data generation and privacy-preserving techniques for augmented training data etc.)

In the complete market engineering process, the top-down and bottom-up approaches and several data triangulation methods were extensively used to perform the market estimation and market forecast for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to record the critical information/insights throughout the report.

AI Training Dataset Market Size, and Share

Note: Three tiers of companies are defined based on their total revenue as of 2023; tier 1 = revenue more
than USD 500 million, tier 2 = revenue between USD 100 million and 500 million, tier 3 = revenue less than
USD 100 million
Source: MarketsandMarkets Analysis

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

To estimate and forecast the AI training dataset market and its dependent submarkets, both top-down and bottom-up approaches were employed. This multi-layered analysis was further reinforced through data triangulation, incorporating both primary and secondary research inputs. The market figures were also validated against the existing MarketsandMarkets repository for accuracy. The following research methodology has been used to estimate the market size:

AI Training Dataset Market : Top-Down and Bottom-Up Approach

AI Training Dataset Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

AI training dataset is a set of information, or inputs, used to teach AI models to make accurate predictions or decisions. This data serves as the foundation for teaching AI systems to recognize patterns, make decisions and improve over time. The AI training dataset market encompasses both data creation and data selling. Data creation includes processes like data collection, data labeling, synthetic data generation, and data augmentation, all of which are critical in generating high-quality datasets for training AI models. The data selling segment comprises Off-the-Shelf (OTS) datasets, which are readily available for immediate use, and dataset marketplaces, where organizations can acquire or trade tailored datasets.

Stakeholders

  • Off-the-shelf (OTS) dataset vendors
  • Data annotation & labelling software vendors
  • Dataset marketplace providers
  • Synthetic data providers
  • Data collection platform providers
  • Data collection and labelling service providers
  • Business analysts
  • Cloud service providers
  • Enterprise end-users
  • Distributors and Value-added Resellers (VARs)
  • Government agencies
  • Independent Software Vendors (ISV)
  • Market research and consulting firms
  • Software & technology providers

Report Objectives

  • To define, describe, and predict the AI training dataset market by offering, dataset creation, dataset selling, type, data modality, annotation type, end user, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the AI training dataset market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies.
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the AI training dataset market
  • To analyze the impact of recession across all the regions across the AI training dataset market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs.
The following customization options are available for the report:

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis

  • Further breakup of the North American market for AI training dataset
  • Further breakup of the European market for AI training dataset
  • Further breakup of the Asia Pacific market for AI training dataset
  • Further breakup of the Latin American market for AI training dataset
  • Further breakup of the Middle East & Africa market for AI training dataset

Company Information

  • Detailed analysis and profiling of additional market players (up to five)

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