Multimodal AI Market

Report Code TC 8854
Published in Nov, 2023, By MarketsandMarkets™
Download PDF

Choose License Type

Buy Report Now Inquire Before Buying

Multimodal AI Market by Offering (Solutions & Services), Data Modality (Image, Audio), Technology (ML, NLP, Computer Vision, Context Awareness, IoT), Type (Generative, Translative, Explanatory, Interactive), Vertical and Region - Global Forecast to 2028

Overview

The global Multimodal AI Market is projected to grow from USD 1.0 billion in 2023 to USD 4.5 billion by 2028, at a CAGR of 35.0% during the forecast period. The factors that propel the multimodal AI market includes the demand for analyzing unstructured data in multiple formats, the capacity of multimodal AI to tackle complex tasks and offer a comprehensive problem-solving approach, the acceleration of multimodal ecosystem development through Generative AI techniques, and the accessibility of large-scale machine learning models that support multimodality.

Attractive Opportunities in the Multimodal AI Market

ASIA PACIFIC:

The growing application of generative Al in areas such as research, marketing, IT operations, software development, and customer service drives the multimodal AI market in Asia Pacific

The increasing focus on human-machine collaboration and natural interaction drives the development multimodal AI systems.

Recent developments in Al fields, including machine learning, natural language processing, and deep learning, play a vital role in enhancing the capabilities of Multimodal AI.

Acquisitions and mergers would offer lucrative opportunities to the market players in the next five years.

North America is expected to be the largest market during the forecast period. The region is a leader in technological advancements and is home to major multimodal Al vendors.

Global Multimodal AI Market Dynamics

Driver: Generative AI techniques to accelerate multimodal ecosystem development

Generative AI is like the creative powerhouse of the AI world, capable of producing new content such as text, images, or even entire videos. It can create content that combines multiple data formats. For instance, it can generate detailed written descriptions for images, create realistic images from textual descriptions, or even produce videos with a nuanced understanding of the content. This blending of data formats is where Generative AI and multimodal AI synergize. As Generative AI advances, it not only enhances the creative aspects of multimodal AI but also paves the way for more sophisticated, integrated systems. This is revolutionary because it enables the development of AI applications that can understand, interpret, and produce content across various data types seamlessly. One striking example is in the space of content creation: a multimodal AI system driven by Generative AI can automatically generate marketing materials that combine text, images, and videos for a more compelling and personalized user experience. It can craft interactive educational content that caters to individual learning styles, enhancing engagement and comprehension. Moreover, it can automate the creation of multimedia presentations, making them more impactful and informative.

Restraint: Susceptibility to bias in multimodal models

Multimodal AI models, like their unimodal counterparts, are vulnerable to bias, and this bias often originates from the very data they are trained on. Training datasets, comprising text, images, videos, and more, may inadvertently reflect societal or cultural biases present in the data sources. These biases can manifest in numerous ways, such as gender or racial bias in image recognition, or linguistic and contextual bias in natural language processing tasks. When multimodal AI models are trained on such data, they inevitably inherit and perpetuate these biases, which can lead to inaccurate or unfair results when making predictions or decisions. This bias in AI models is not only a technical challenge but also an ethical concern, as it can contribute to discriminatory practices, reinforce stereotypes, and exacerbate inequalities. Addressing bias in multimodal AI models requires vigilant data curation, diversity in data sources, and sophisticated debiasing techniques. It also necessitates an ongoing commitment to ethical AI development and the responsible use of these technologies, ensuring that AI systems are not only technically proficient but also aligned with ethical and societal values.

 

Opportunity: Rising demand for customized and industry-specific solutions

As AI technologies continue to advance, there is a growing recognition that the application of multimodal AI can be highly tailored to address specific industry needs and challenges. From healthcare and finance to education and entertainment, each sector has its unique data characteristics and demands. multimodal AI is well-positioned to provide customized solutions by harnessing the power of multiple data modalities. For instance, in healthcare, multimodal AI can be utilized to analyze medical images, textual patient records, and even audio recordings of doctor-patient interactions to offer comprehensive diagnostic insights, revolutionizing patient care and medical research. In the automotive sector, multimodal AI is being employed to create advanced driver-assistance systems, combining visual data from cameras with textual data from sensors and audio data from in-car voice assistants to enhance road safety and the driving experience. This industry-specific approach is paving the way for a new era of innovation, where the unique challenges and opportunities of each sector are addressed with tailor-made multimodal AI solutions.

Challenge: Limitations in transferability pose challenges for multimodal AI adaptation to diverse data types

Limited transferability highlights a fundamental constraint in the versatility and adaptability of these AI systems. Just as a conductor trained in classical music might encounter challenges when orchestrating a jazz ensemble, multimodal AI models trained on one type of data might not seamlessly adapt or perform effectively when presented with a different type of data. This limitation in transferability underscores the need for careful consideration, especially when deploying these models in dynamic and diverse real-world scenarios. The challenge lies in the fact that the knowledge acquired during training is inherently tied to the specific data modalities, patterns, and characteristics within that training dataset. When faced with new or different types of data, such as transitioning from textual data to image data, or from structured data to unstructured data, these models often struggle to make accurate predictions or extract meaningful insights.

Global Multimodal AI Market Ecosystem Analysis

The multimodal AI market ecosystem is a dynamic landscape consisting of various key components, each playing a distinct role in advancing the field of AI and software development. These components include multimodal AI solution providers, service providers, end users, and regulatory bodies.

 

By Vertical, BFSI segment accounts for the largest market size during the forecast period

Multimodal AI in the BFSI segment is revolutionizing operations by integrating various data types and AI capabilities. In this sector, multimodal AI is applied to enhance customer experiences, streamline processes, and mitigate risks. For instance, in customer interactions, it utilizes natural language processing (NLP) for text and speech analysis, facial recognition for authentication, and even sentiment analysis to gauge customer satisfaction. In fraud detection, multimodal AI combines transaction data, images, and patterns of behavior to identify anomalies more effectively. Additionally, it plays a crucial role in automating document processing, where it interprets both text and visual information from documents, improving accuracy and efficiency. The adoption of multimodal AI in BFSI not only enhances security and fraud prevention but also contributes to personalized customer services and efficient backend operations, ultimately shaping a more advanced and responsive financial landscape.

By Type, Generative Multimodal AI segment is projected to grow at the highest CAGR during the forecast period

Generative Multimodal AI has the unique ability to generate new content across multiple modalities, such as text, images, and even audio simultaneously. This type of AI is trained to comprehend the relationships between different data types and can generate coherent and contextually relevant content across these modalities. For example, it can produce captions for images, translate visual scenes into descriptive text, or even generate realistic images based on textual descriptions. The strength of Generative Multimodal AI lies in its capacity to create a unified and nuanced understanding of data, enabling more advanced applications in content creation, storytelling, and problem-solving across a variety of industries, including entertainment, design, and communication.

NORTH AMERICA Region Holds the Largest Share of the Multimodal AI Market.

The multimodal AI market in North America stands as a global powerhouse, shaped by the innovation and technological ability of both the US and Canada. The region is experiencing robust growth, driven by a convergence of technologies and a surge in demand for more sophisticated and human-like interactions between machines and users. One of the key driving factors is the widespread adoption of smartphones, smart devices, and the increasing availability of high-quality data. The region’s focus on innovation, particularly in Silicon Valley, fosters a conducive environment for multimodal AI advancements. North American companies are at the forefront of developing and implementing multimodal AI solutions, reflecting the region's commitment to driving technological advancements and pushing the boundaries of artificial intelligence for enhanced user engagement and problem-solving.

Recent Developments of Multimodal AI Market industry

  • In November 2023, Open AI’s GPT-4 Turbo introduces the capability to accept images as inputs within the Chat Completions API. This enhancement opens up various use cases, including generating image captions, conducting detailed analysis of real-world images, and processing documents that contain figures. Additionally, developers can seamlessly integrate DALL·E 3 into their applications and products by specifying "dall-e-3" as the model when using the Images API, extending the creative potential of multimodal AI. In August 2023, Meta introduced SeamlessM4T, a groundbreaking AI translation model that stands as the first to offer comprehensive multimodal and multilingual capabilities. This innovative model empowers individuals to communicate across languages through both speech and text effortlessly. In July 2023, Meta announced the release of Llama 2, the next iteration of its open-source large language model. This development is part of an expanded partnership between Microsoft and Meta, with Microsoft being designated as the preferred partner for Llama 2.
  • In June 2023, Microsoft introduced Kosmos-2, a Multimodal Large Language Model (MLLM) that enhances its abilities to understand object descriptions, including bounding boxes, and connect text with the visual domain. In addition to the typical MLLM functions, like processing various modalities, following instructions, and adapting in-context, Kosmos-2 brings the grounding capability into play within downstream applications, broadening its scope in the realm of multimodal AI. In February 2023, Uniphore acquired Hexagone, a company that combines voice, visual, and text data to gain insights through AI. This addition strengthens Uniphore's X Platform, making it even better at understanding human behavior. With these improvements, Uniphore aimed to enhance the accuracy and empathy in resolving customer conversations and inquiries.

Key Market Players

KEY PLAYERS IN THE Multimodal AI Market INCLUDE

  • Google (US)
  • Microsoft (US)
  • OpenAI (US)
  • Meta (US)
  • AWS (US)
  • IBM (US)
  • Twelve Labs (US)
  • Aimesoft (US)
  • Jina AI (Germany)
  • Uniphore (US)
  • Reka AI (US)
  • Runway (US)
  • Jiva.ai (UK)
  • Vidrovr (US)
  • Mobius Labs (US)
  • Newsbridge (France)
  • OpenStream.ai (US)
  • Habana Labs (US)
  • Modality.AI (US)
  • Perceiv AI (Canada)
  • Multimodal (US)
  • Neuraptic AI (Spain)
  • Inworld AI (US)
  • Aiberry (US)
  • One AI (US)
  • Beewant (France)
  • Owlbot.AI (US)
  • Hoppr (US)
  • Archetype AI (US)
  • Stability AI (England)

Want to explore hidden markets that can drive new revenue in Multimodal AI Market?

Scope of the Report

Report Attribute Details
Market size available for years 2017–2028
Base year considered 2022
Forecast period 2023–2028
Forecast units USD Billion
Segments covered Offering (Solutions & Services), Data Modality (Image, Audio), Technology (ML, NLP, Computer Vision, Context Awareness, IoT), Type (Generative, Translative, Explanatory, Interactive), Vertical, and Region.
Geographies covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered Google (US), Microsoft (US), OpenAI (US), Meta (US), AWS (US), IBM (US),  Twelve Labs (US), Aimesoft (US), Jina AI (Germany), Uniphore (US), Reka AI (US), Runway (US), Jiva.ai (UK), Vidrovr (US), Mobius Labs (US), Newsbridge (France), OpenStream.ai (US), Habana Labs (US), Modality.AI (US), Perceiv AI (Canada), Multimodal (US), Neuraptic AI (Spain), Inworld AI (US), Aiberry (US), One AI (US), Beewant (France), Owlbot.AI (US), Hoppr (US), Archetype AI (US), Stability AI (England).

Key Questions Addressed by the Report

What are multimodal AI?
Multimodal AI refers to AI systems that can process and understand information from multiple modalities or sources, such as text, images, speech, and more. It involves the integration of diverse data types to enhance the accuracy and richness of AI models.
Which region is expected to hold the highest share in the multimodal AI market?
North America is expected to dominate the multimodal AI market in 2028. North America is at the forefront of multimodal AI development and adoption, with a thriving ecosystem of startups, established tech giants, and innovative enterprises actively leveraging these tools.
Which are key end users adopting multimodal AI solutions and services?
Key end users adopting Multimodal AI solutions and services include BFSI, Healthcare & Life Sciences, Retail & eCommerce, Manufacturing, Telecommunications, Media & Entertainment, Government & Public Sector, and other verticals.
Which are the key drivers supporting the market growth for multimodal AI?
The key drivers supporting the market growth for multimodal AI include the need to analyze unstructured data in multiple formats, the ability of multimodal AI to handle complex tasks, Generative AI techniques to accelerate multimodal ecosystem development, and the availability of large-scale machine learning models that support multimodality.
Who are the key vendors in the market for multimodal AI?
The key vendors in the global multimodal AI market include: Google (US), Microsoft (US), OpenAI (US), Meta (US), AWS (US), IBM (US), Twelve Labs (US), Aimesoft (US), Jina AI (Germany), Uniphore (US), Reka AI (US), Runway (US), Jiva.ai (UK), Vidrovr (US), Mobius Labs (US), Newsbridge (France), OpenStream.ai (US), Habana Labs (US), Modality.AI (US), Perceiv AI (Canada), Multimodal (US), Neuraptic AI (Spain), Inworld AI (US), Aiberry (US), One AI (US), Beewant (France), Owlbot.AI (US), Hoppr (US), Archetype AI (US), Stability AI (England).

 

Personalize This Research

  • Triangulate with your Own Data
  • Get Data as per your Format and Definition
  • Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
  • Any level of Personalization
Request A Free Customisation

Let Us Help You

  • What are the Known and Unknown Adjacencies Impacting the Multimodal AI Market
  • What will your New Revenue Sources be?
  • Who will be your Top Customer; what will make them switch?
  • Defend your Market Share or Win Competitors
  • Get a Scorecard for Target Partners
Customized Workshop Request

Table Of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
INTRODUCTION
33
RESEARCH METHODOLOGY
38
EXECUTIVE SUMMARY
52
PREMIUM INSIGHTS
58
MARKET OVERVIEW AND INDUSTRY TRENDS
60
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Need to analyze unstructured data in multiple formats to drive multimodal AI market
    - Ability of multimodal AI to handle complex tasks and provide holistic approach to problem-solving to boost market
    - Generative AI techniques to accelerate multimodal ecosystem development
    - Availability of large-scale machine learning models that support multimodality to propel market growth
    RESTRAINTS
    - Susceptibility to bias in multimodal models
    - Processing and training multimodal AI models to demand extensive computational resources
    OPPORTUNITIES
    - Rising demand for customized and industry-specific solutions
    - Enhanced adaptability to unseen data types to propel multimodal AI forward
    - Data management services to empower multimodal AI advancements
    CHALLENGES
    - Teaching AI to grasp nuance and context-dependent meanings to pose complex linguistic challenges
    - Optimal data fusion to present challenges in multimodal AI integration
    - Limitations in transferability to pose challenges for multimodal AI adaptation to diverse data types
  • 5.3 INDUSTRY TRENDS
    MULTIMODAL AI: ARCHITECTURE
    MULTIMODAL AI: EVOLUTION
    VALUE CHAIN ANALYSIS
    ECOSYSTEM/MARKET MAP
    - Solution Providers
    - Service Providers
    - End Users
    - Regulatory Bodies
    PRICING ANALYSIS
    - Average Selling Price Trend of Key Players: Top 3 Data Modalities
    - Indicative Pricing Analysis of Multimodal AI, By Solution
    PORTER’S FIVE FORCES ANALYSIS
    - Threat of new entrants
    - Threat of substitutes
    - Bargaining power of suppliers
    - Bargaining power of buyers
    - Intensity of competitive rivalry
    TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
    - Trends/Disruptions impacting customer’s business
    TECHNOLOGY ANALYSIS
    - Key Technologies
    - Complementary Technologies
    - Adjacent Technologies
    CASE STUDY ANALYSIS
    - CASE STUDY 1: Associated Press revolutionized multimedia processing with Vidrovr
    - CASE STUDY 2: SceneXplain's innovative automation and tagging solution revolutionized European e-commerce platform
    - CASE STUDY 3: Global banking group transformed its operations with Uniphore's AI-driven compliance and monitoring solution
    - CASE STUDY 4: Uniphore's U-Assist solution transformed healthcare services company's agent guidance
    - CASE STUDY 5: Telecom leader enhanced efficiency and customer experience with Uniphore's AI-powered automation
    PATENT ANALYSIS
    - Methodology
    - Patents Filed, By Document Type
    - Innovation and patent applications
    TRADE ANALYSIS
    - Import scenario
    - Export scenario
    KEY CONFERENCES & EVENTS, 2023–2025
    TARIFF AND REGULATORY LANDSCAPE
    - Tariff Related to Multimodal AI Solutions
    - Regulatory Bodies, Government Agencies, and Other Organizations
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    - Latin America
    KEY STAKEHOLDERS AND BUYING CRITERIA
    - Key Stakeholders in Buying Process
    - Buying Criteria
    BEST PRACTICES IN MULTIMODAL AI MARKET
    TECHNOLOGY ROADMAP OF MULTIMODAL AI MARKET
    BUSINESS MODELS OF MULTIMODAL AI MARKET
    - SaaS (Software as a Service) Platforms
    - Pay-Per-Use or Consumption-Based Pricing
    - APIs and SDKs (Software Development Kits)
    - Data Annotation and Labeling Services
    - Consulting and Integration Services
MULTIMODAL AI MARKET, BY OFFERING
113
  • 6.1 INTRODUCTION
    OFFERING: MULTIMODAL AI MARKET DRIVERS
  • 6.2 SOLUTIONS
    GROWING DEMAND FOR SEAMLESS INTEGRATION OF DIVERSE DATA SOURCES TO DRIVE MULTIMODAL AI SOLUTIONS MARKET GROWTH
    PLATFORM
    - Increasing need for unified solutions within single ecosystem to drive platform segment
    SOFTWARE
    - Advanced AI solutions offered by software to fuel market growth
    FRAMEWORK
    - Multimodal AI frameworks to empower developers with open-source and cloud-native solutions
  • 6.3 SOLUTIONS, BY DEPLOYMENT MODE
    ADAPTABILITY TO CHOOSE BETWEEN CENTRALIZED CLOUD-BASED PROCESSING OR LOCALIZED, SECURE ON-PREMISES DEPLOYMENTS
    CLOUD
    - Cloud to help reduce burden of infrastructure management and overhead costs
    ON-PREMISES
    - Stringent data governance and security requirements to propel market
  • 6.4 SERVICES
    SERVICES TO ENABLE ORGANIZATIONS TO EFFECTIVELY IMPLEMENT AND MAINTAIN MULTIMODAL AI SOLUTIONS
    PROFESSIONAL SERVICES
    - Requirement of expert guidance and support in implementing multimodal AI solutions to drive segment’s growth
    - Consulting
    - Training & Workshops
    - Multimodal Data Integration
    - Custom Multimodal AI Development
    - Multimodal Data Annotation
    - Support & Maintenance
    MANAGED SERVICES
    - Increasing complexity of AI implementation to foster multimodal AI adoption
MULTIMODAL AI MARKET, BY DATA MODALITY
135
  • 7.1 INTRODUCTION
    DATA MODALITY: MULTIMODAL AI MARKET DRIVERS
  • 7.2 IMAGE DATA
    INCREASING NEED FOR ADVANCED VISUAL UNDERSTANDING TO FUEL MARKET FOR IMAGE DATA
    IMAGE RECOGNITION
    OBJECT DETECTION
    IMAGE CAPTIONING
    IMAGE GENERATION
    OTHERS
  • 7.3 TEXT DATA
    TEXT DATA TO REVOLUTIONIZE TEXT ANALYSIS AND INFORMATION EXTRACTION
    NATURAL LANGUAGE UNDERSTANDING
    SENTIMENT ANALYSIS
    TEXT GENERATION
    LANGUAGE TRANSLATION
    OTHERS
  • 7.4 SPEECH AND VOICE DATA
    SPEECH & VOICE DATA TO DRIVE ADVANCEMENTS IN VOICE ASSISTANTS, VOICE BIOMETRICS, AND USER EXPERIENCES
    SPEECH AND VOICE RECOGNITION
    VOICE ASSISTANTS
    VOICE BIOMETRICS
    SPEECH SYNTHESIS
    OTHERS
  • 7.5 VIDEO DATA
    SURGE IN VIDEO-BASED CONTENT CONSUMPTION AND DEMAND FOR ENHANCED VIDEO ANALYTICS TO PROPEL MARKET
    VIDEO ANALYSIS
    VIDEO CAPTIONING
    VIDEO GENERATION
    OTHERS
  • 7.6 AUDIO DATA
    RISING ADOPTION OF VOICE-ENABLED DEVICES AND PERSONALIZED AUDIO EXPERIENCES TO ENHANCE AUDIO DATA MARKET
    AUDIO PROCESSING
    MUSIC ANALYSIS
    SOUND CLASSIFICATION
    OTHERS
  • 7.7 OTHER DATA MODALITIES
MULTIMODAL AI MARKET, BY TECHNOLOGY
156
  • 8.1 INTRODUCTION
    TECHNOLOGY: MULTIMODAL AI MARKET DRIVERS
  • 8.2 MACHINE LEARNING
    CONTINUOUS EVOLUTION OF ALGORITHMS AND MODELS IN MACHINE LEARNING TO SHAPE MARKET
  • 8.3 NATURAL LANGUAGE PROCESSING
    NLP TO REVOLUTIONIZE COMMUNICATION AND COMPREHENSION IN VARIOUS INDUSTRIES AND APPLICATIONS
  • 8.4 COMPUTER VISION
    COMPUTER VISION TO TRANSFORM INDUSTRIES THROUGH ENHANCED IMAGE AND VIDEO ANALYSIS FUNCTIONS
  • 8.5 CONTEXT AWARENESS
    ABILITY OF AI SYSTEMS TO INTERPRET DATA BASED ON SITUATIONAL CONTEXT TO DRIVE SEGMENT’S GROWTH
  • 8.6 INTERNET OF THINGS
    SURGE IN INTERCONNECTED DEVICES GENERATING DIVERSE DATA STREAMS TO BOOST MARKET
MULTIMODAL AI MARKET, BY TYPE
164
  • 9.1 INTRODUCTION
    TYPE: MULTIMODAL AI MARKET DRIVERS
  • 9.2 GENERATIVE MULTIMODAL AI
    TRANSFORMATIVE POWER OF GENERATIVE MULTIMODAL AI TO EXTEND BEYOND CONTENT GENERATION
  • 9.3 TRANSLATIVE MULTIMODAL AI
    ABILITY TO TRANSLATE AND INTERPRET INFORMATION ACROSS DIFFERENT DATA MODALITIES TO DRIVE SEGMENT’S GROWTH
  • 9.4 EXPLANATORY MULTIMODAL AI
    INCREASING DEMAND FOR AI SYSTEMS THAT OFFER TRANSPARENT INSIGHTS INTO DECISION-MAKING PROCESSES TO DRIVE SEGMENT’S GROWTH
  • 9.5 INTERACTIVE MULTIMODAL AI
    INTERACTIVE MULTIMODAL AI TO REDEFINE HUMAN-MACHINE INTERACTIONS ACROSS INDUSTRIES
MULTIMODAL AI MARKET, BY VERTICAL
172
  • 10.1 INTRODUCTION
    VERTICAL: MULTIMODAL AI MARKET DRIVERS
  • 10.2 HEALTHCARE AND LIFE SCIENCES
    MEDICAL IMAGING AND DIAGNOSTICS
    PRECISION MEDICINE
    LIFESTYLE MANAGEMENT & MONITORING, AND WEARABLES
    MEDICAL RESEARCH
    ROBOTIC SURGERY ASSISTANCE
    PATIENT DATA RISK ANALYSIS
    OTHER APPLICATIONS
  • 10.3 BANKING, FINANCIAL SERVICES, AND INSURANCE
    FRAUD DETECTION
    RISK ASSESSMENT
    CUSTOMER SERVICE
    INSURANCE UNDERWRITING
    FINANCIAL PLANNING & WEALTH MANAGEMENT
    PERSONALIZATION OF FINANCIAL PRODUCT RECOMMENDATIONS
    OTHER APPLICATIONS
  • 10.4 RETAIL & E-COMMERCE
    MULTIMODAL SEARCH AND PERSONALIZED RECOMMENDATION
    SUPPLY CHAIN OPTIMIZATION
    PRICE OPTIMIZATION
    CHATBOT & VIRTUAL ASSISTANTS
    VIRTUAL STORE MANAGEMENT & CUSTOMER ASSISTANT
    AUGMENTED REALITY SHOPPING EXPERIENCES
    OTHER APPLICATIONS
  • 10.5 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS
    SEMI-AUTONOMOUS & AUTONOMOUS VEHICLES
    ROUTE OPTIMIZATION
    SMART LOGISTICS AND WAREHOUSING
    SUPPLY CHAIN VISIBILITY AND TRACKING
    TRAFFIC PATTERN ANALYSIS
    DRIVER MONITORING SYSTEM
    OTHER APPLICATIONS
  • 10.6 TELECOMMUNICATIONS
    NETWORK OPTIMIZATION
    NETWORK SECURITY
    CUSTOMER SERVICE SUPPORT
    NETWORK FAULT PREDICTION
    VIRTUAL NETWORK ASSISTANT
    INTELLIGENT CALL ROUTING
    OTHER APPLICATIONS
  • 10.7 GOVERNMENT AND PUBLIC SECTOR
    AUTONOMOUS SURVEILLANCE & MONITORING SYSTEM
    DISASTER RESPONSE & DISCOVERY ASSISTANT
    E-GOVERNANCE & DIGITAL CITY SERVICES
    LAW ENFORCEMENT
    TRANSPORTATION MANAGEMENT
    ENVIRONMENTAL MONITORING
    OTHER APPLICATIONS
  • 10.8 MANUFACTURING
    PREDICTIVE MAINTENANCE
    QUALITY CONTROL
    INVENTORY MANAGEMENT
    COST OPTIMIZATION
    SUPPLY CHAIN OPTIMIZATION
    PRODUCTION LINE OPTIMIZATION
    OTHER APPLICATIONS
  • 10.9 MEDIA AND ENTERTAINMENT
    PERSONALIZED CONTENT RECOMMENDATIONS
    CONTENT CREATION AND GENERATION
    CONTENT COPYRIGHT PROTECTION
    AUDIENCE ANALYTICS AND SEGMENTATION
    PERSONALIZED ADVERTISING
    SOCIAL MEDIA ANALYSIS
    OTHER APPLICATIONS
  • 10.10 OTHER VERTICALS
MULTIMODAL AI MARKET, BY REGION
206
  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    NORTH AMERICA: MULTIMODAL AI MARKET DRIVERS
    NORTH AMERICA: RECESSION IMPACT
    US
    - Presence of significant number of top-tier AI researchers in US institutions to drive market growth
    CANADA
    - Robust Canadian commitment to AI innovation to propel multimodal AI sector
  • 11.3 EUROPE
    EUROPE: MULTIMODAL AI MARKET DRIVERS
    EUROPE: RECESSION IMPACT
    UK
    - Vast repository of health records to serve as substantial asset and advantage for UK’s multimodal AI market
    GERMANY
    - Dedicated financial commitment and strategic investments in infrastructure to drive adoption of AI and ML technologies
    FRANCE
    - Strategic focus on open-source AI initiatives in France to boost multimodal AI development
    SPAIN
    - Active support and initiatives from Spanish government to accelerate growth of AI
    ITALY
    - Implementation of three-year Strategic Plan for AI to expand Italian market
    REST OF EUROPE
  • 11.4 ASIA PACIFIC
    ASIA PACIFIC: MULTIMODAL AI MARKET DRIVERS
    ASIA PACIFIC: RECESSION IMPACT
    CHINA
    - Substantial investments made by Chinese government in AI R&D to foster market growth
    JAPAN
    - Focus on AI-driven robotics and healthcare solutions to drive nation’s advancement in multimodal AI market
    INDIA
    - Indian government’s doubled investment in AI and ML research and establishment of National Program on AI to boost market
    SOUTH KOREA
    - Strong emphasis on patenting across diverse AI fields to drive growth in South Korean multimodal AI market
    ASEAN COUNTRIES
    - Active engagement of governments and authorities across nations to drive market
    AUSTRALIA & NEW ZEALAND
    - Increasing investment in software solutions to bolster multimodal AI software market
    REST OF ASIA PACIFIC
  • 11.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET DRIVERS
    MIDDLE EAST & AFRICA: RECESSION IMPACT
    UAE
    - Implementation of National Artificial Intelligence Strategy 2031 to highlight country’s commitment to AI adoption
    KSA
    - Government’s commitment to technological progress and economic diversification outlined in Vision 2030 initiative to drive market growth
    EGYPT
    - Surge in Egypt’s government-led initiatives and institutional commitments to AI education and research to propel market
    SOUTH AFRICA
    - Growth of ICT sector and adoption of AI technologies to fuel diverse AI-driven solutions
    TURKEY
    - Global initiative in NLP poised to uplift growth in multimodal AI market
    QATAR
    - Exponential growth of AI technology in country to help boost market
    REST OF MIDDLE EAST & AFRICA
  • 11.6 LATIN AMERICA
    LATIN AMERICA: MULTIMODAL AI MARKET DRIVERS
    LATIN AMERICA: RECESSION IMPACT
    BRAZIL
    - Growing implementation of stringent regulations to create favorable environment for multimodal AI in Brazil
    MEXICO
    - Mexican government to shape development and adoption of AI technology
    ARGENTINA
    - Developed telecommunications infrastructure to help foster market growth
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
264
  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 12.3 REVENUE ANALYSIS
  • 12.4 MARKET SHARE ANALYSIS
  • 12.5 BRAND/PRODUCT COMPARATIVE ANALYSIS
  • 12.6 COMPANY EVALUATION MATRIX, 2022
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT FOR KEY PLAYERS
  • 12.7 STARTUP/SME EVALUATION MATRIX, 2022
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING
  • 12.8 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES
    DEALS
    OTHERS
  • 12.9 VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • 12.10 YTD PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
COMPANY PROFILES
283
  • 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
    - MnM view
    OPENAI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    META
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    TWELVE LABS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    AIMESOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    JINA AI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    UNIPHORE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
  • 13.3 OTHER PLAYERS
    HABANA LABS
    REKA AI
    RUNWAY AI
    JIVA.AI
    MODALITY.AI
    OPENSTREAM.AI
    VIDROVR
    MOBIUS LABS
    NEWSBRIDGE
    PERCEIV AI
  • 13.4 STARTUPS/SMES
    MULTIMODAL
    NEURAPTIC AI
    INWORLD AI
    AIBERRY
    ONE AI
    BEEWANT
    OWLBOT.AI
    HOPPR
    ARCHETYPE AI
    STABILITY AI
ADJACENT AND RELATED MARKETS
359
  • 14.1 ADJACENT AND RELATED MARKETS
    INTRODUCTION
  • 14.2 GENERATIVE AI MARKET—GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
    GENERATIVE AI MARKET, BY OFFERING
    GENERATIVE AI MARKET, BY REGION
  • 14.3 NATURAL LANGUAGE PROCESSING (NLP) MARKET— GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
    NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING
    NATURAL LANGUAGE PROCESSING MARKET, BY TYPE
    NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION
    NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY
    NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL
    NATURAL LANGUAGE PROCESSING MARKET, BY REGION
APPENDIX
370
  • 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 PRIMARY INTERVIEWS
  • TABLE 2 FACTOR ANALYSIS
  • TABLE 3 IMPACT OF RECESSION ON GLOBAL MULTIMODAL AI MARKET
  • TABLE 4 MULTIMODAL AI MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y)
  • TABLE 5 MULTIMODAL AI MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y)
  • TABLE 6 MULTIMODAL AI MARKET: ECOSYSTEM
  • TABLE 7 AVERAGE SELLING PRICE TREND OF KEY PLAYERS FOR TOP THREE DATA MODALITIES (USD)
  • TABLE 8 MULTIMODAL AI: INDICATIVE PRICING LEVELS OF MULTIMODAL AI, BY SOLUTION
  • TABLE 9 MULTIMODAL AI MARKET: PORTER’S FIVE FORCES ANALYSIS
  • TABLE 10 PATENTS FILED, BY DOCUMENT TYPE
  • TABLE 11 TOP 20 PATENT OWNERS IN MULTIMODAL AI MARKET, 2013–2023
  • TABLE 12 LIST OF PATENTS GRANTED IN MULTIMODAL AI MARKET, 2023
  • TABLE 13 MULTIMODAL AI MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2023–2025
  • TABLE 14 TARIFF RELATED TO MULTIMODAL AI SOLUTIONS, 2022
  • TABLE 15 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 16 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 17 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 18 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 19 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 20 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • TABLE 21 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • TABLE 22 SHORT-TERM ROADMAP, 2023–2025
  • TABLE 23 MID-TERM ROADMAP, 2026–2028
  • TABLE 24 LONG-TERM ROADMAP, 2029–2030
  • TABLE 25 MULTIMODAL AI MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 26 MULTIMODAL AI MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 27 MULTIMODAL AI MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
  • TABLE 28 MULTIMODAL AI MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
  • TABLE 29 SOLUTIONS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 30 SOLUTIONS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 31 PLATFORM: MULTIMODAL AI SOLUTIONS MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 32 PLATFORM: MULTIMODAL AI SOLUTIONS MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 33 SOFTWARE: MULTIMODAL AI SOLUTIONS MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 34 SOFTWARE: MULTIMODAL AI SOLUTIONS MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 35 FRAMEWORK: MULTIMODAL AI SOLUTIONS MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 36 FRAMEWORK: MULTIMODAL AI SOLUTIONS MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 37 MULTIMODAL AI MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 38 MULTIMODAL AI MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 39 CLOUD: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 40 CLOUD: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 41 ON-PREMISES: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 42 ON-PREMISES: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 43 MULTIMODAL AI MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 44 MULTIMODAL AI MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 45 PROFESSIONAL SERVICES: MULTIMODAL AI MARKET, BY TYPE, 2017–2022 (USD MILLION)
  • TABLE 46 PROFESSIONAL SERVICES: MULTIMODAL AI MARKET, BY TYPE, 2023–2028 (USD MILLION)
  • TABLE 47 PROFESSIONAL SERVICES: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 48 PROFESSIONAL SERVICES: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 49 CONSULTING: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 50 CONSULTING: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 51 TRAINING & WORKSHOPS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 52 TRAINING & WORKSHOPS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 53 MULTIMODAL DATA INTEGRATION: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 54 MULTIMODAL DATA INTEGRATION: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 55 CUSTOM MULTIMODAL AI DEVELOPMENT: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 56 CUSTOM MULTIMODAL AI DEVELOPMENT: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 57 MULTIMODAL DATA ANNOTATION: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 58 MULTIMODAL DATA ANNOTATION: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 59 SUPPORT & MAINTENANCE: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 60 SUPPORT & MAINTENANCE: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 61 MANAGED SERVICES: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 62 MANAGED SERVICES: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 63 MULTIMODAL AI MARKET, BY DATA MODALITY, 2017–2022 (USD MILLION)
  • TABLE 64 MULTIMODAL AI MARKET, BY DATA MODALITY, 2023–2028 (USD MILLION)
  • TABLE 65 IMAGE DATA: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 66 IMAGE DATA: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 67 TEXT DATA: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 68 TEXT DATA: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 69 SPEECH & VOICE DATA: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 70 SPEECH & VOICE DATA: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 71 VIDEO DATA: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 72 VIDEO DATA: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 73 AUDIO DATA: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 74 AUDIO DATA: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 75 OTHER DATA MODALITIES: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 76 OTHER DATA MODALITIES: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 77 MULTIMODAL AI MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
  • TABLE 78 MULTIMODAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
  • TABLE 79 MACHINE LEARNING: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 80 MACHINE LEARNING: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 81 NATURAL LANGUAGE PROCESSING: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 82 NATURAL LANGUAGE PROCESSING: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 83 COMPUTER VISION: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 84 COMPUTER VISION: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 85 CONTEXT AWARENESS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 86 CONTEXT AWARENESS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 87 INTERNET OF THINGS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 88 INTERNET OF THINGS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 89 MULTIMODAL AI MARKET, BY TYPE, 2017–2022 (USD MILLION)
  • TABLE 90 MULTIMODAL AI MARKET, BY TYPE, 2023–2028 (USD MILLION)
  • TABLE 91 GENERATIVE MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 92 GENERATIVE MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 93 TRANSLATIVE MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 94 TRANSLATIVE MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 95 EXPLANATORY MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 96 EXPLANATORY MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 97 INTERACTIVE MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 98 INTERACTIVE MULTIMODAL AI: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 99 MULTIMODAL AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 100 MULTIMODAL AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 101 HEALTHCARE & LIFE SCIENCES: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 102 HEALTHCARE & LIFE SCIENCES: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 103 BFSI: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 104 BFSI: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 105 RETAIL & E-COMMERCE: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 106 RETAIL & E-COMMERCE: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 107 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 108 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 109 TELECOMMUNICATIONS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 110 TELECOMMUNICATIONS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 111 GOVERNMENT & PUBLIC SECTOR: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 112 GOVERNMENT & PUBLIC SECTOR: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 113 MANUFACTURING: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 114 MANUFACTURING: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 115 MEDIA & ENTERTAINMENT: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 116 MEDIA & ENTERTAINMENT: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 117 OTHER VERTICALS: MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 118 OTHER VERTICALS: MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 119 MULTIMODAL AI MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 120 MULTIMODAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 121 NORTH AMERICA: MULTIMODAL AI MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
  • TABLE 122 NORTH AMERICA: MULTIMODAL AI MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 123 NORTH AMERICA: MULTIMODAL AI MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 124 NORTH AMERICA: MULTIMODAL AI MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 125 NORTH AMERICA: MULTIMODAL AI MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
  • TABLE 126 NORTH AMERICA: MULTIMODAL AI MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
  • TABLE 127 NORTH AMERICA: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 128 NORTH AMERICA: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 129 NORTH AMERICA: MULTIMODAL AI MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 130 NORTH AMERICA: MULTIMODAL AI MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 131 NORTH AMERICA: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
  • TABLE 132 NORTH AMERICA: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
  • TABLE 133 NORTH AMERICA: MULTIMODAL AI MARKET, BY DATA MODALITY, 2017–2022 (USD MILLION)
  • TABLE 134 NORTH AMERICA: MULTIMODAL AI MARKET, BY DATA MODALITY, 2023–2028 (USD MILLION)
  • TABLE 135 NORTH AMERICA: MULTIMODAL AI MARKET, BY TYPE, 2017–2022 (USD MILLION)
  • TABLE 136 NORTH AMERICA: MULTIMODAL AI MARKET, BY TYPE, 2023–2028 (USD MILLION)
  • TABLE 137 NORTH AMERICA: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
  • TABLE 138 NORTH AMERICA: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
  • TABLE 139 NORTH AMERICA: MULTIMODAL AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 140 NORTH AMERICA: MULTIMODAL AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 141 EUROPE: MULTIMODAL AI MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
  • TABLE 142 EUROPE: MULTIMODAL AI MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 143 EUROPE: MULTIMODAL AI MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 144 EUROPE: MULTIMODAL AI MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 145 EUROPE: MULTIMODAL AI MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
  • TABLE 146 EUROPE: MULTIMODAL AI MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
  • TABLE 147 EUROPE: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 148 EUROPE: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 149 EUROPE: MULTIMODAL AI MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 150 EUROPE: MULTIMODAL AI MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 151 EUROPE: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
  • TABLE 152 EUROPE: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
  • TABLE 153 EUROPE: MULTIMODAL AI MARKET, BY DATA MODALITY, 2017–2022 (USD MILLION)
  • TABLE 154 EUROPE: MULTIMODAL AI MARKET, BY DATA MODALITY, 2023–2028 (USD MILLION)
  • TABLE 155 EUROPE: MULTIMODAL AI MARKET, BY TYPE, 2017–2022 (USD MILLION)
  • TABLE 156 EUROPE: MULTIMODAL AI MARKET, BY TYPE, 2023–2028 (USD MILLION)
  • TABLE 157 EUROPE: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
  • TABLE 158 EUROPE: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
  • TABLE 159 EUROPE: MULTIMODAL AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 160 EUROPE: MULTIMODAL AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 161 ASIA PACIFIC: MULTIMODAL AI MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION)
  • TABLE 162 ASIA PACIFIC: MULTIMODAL AI MARKET, BY COUNTRY/REGION, 2023–2028 (USD MILLION)
  • TABLE 163 ASIA PACIFIC: MULTIMODAL AI MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 164 ASIA PACIFIC: MULTIMODAL AI MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 165 ASIA PACIFIC: MULTIMODAL AI MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
  • TABLE 166 ASIA PACIFIC: MULTIMODAL AI MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
  • TABLE 167 ASIA PACIFIC: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 168 ASIA PACIFIC: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 169 ASIA PACIFIC: MULTIMODAL AI MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 170 ASIA PACIFIC: MULTIMODAL AI MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 171 ASIA PACIFIC: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
  • TABLE 172 ASIA PACIFIC: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
  • TABLE 173 ASIA PACIFIC: MULTIMODAL AI MARKET, BY DATA MODALITY, 2017–2022 (USD MILLION)
  • TABLE 174 ASIA PACIFIC: MULTIMODAL AI MARKET, BY DATA MODALITY, 2023–2028 (USD MILLION)
  • TABLE 175 ASIA PACIFIC: MULTIMODAL AI MARKET, BY TYPE, 2017–2022 (USD MILLION)
  • TABLE 176 ASIA PACIFIC: MULTIMODAL AI MARKET, BY TYPE, 2023–2028 (USD MILLION)
  • TABLE 177 ASIA PACIFIC: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
  • TABLE 178 ASIA PACIFIC: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
  • TABLE 179 ASIA PACIFIC: MULTIMODAL AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 180 ASIA PACIFIC: MULTIMODAL AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 181 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION)
  • TABLE 182 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY COUNTRY/REGION, 2023–2028 (USD MILLION)
  • TABLE 183 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 184 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 185 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
  • TABLE 186 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
  • TABLE 187 MIDDLE EAST & AFRICA: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 188 MIDDLE EAST & AFRICA: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 189 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 190 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 191 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
  • TABLE 192 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
  • TABLE 193 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY DATA MODALITY, 2017–2022 (USD MILLION)
  • TABLE 194 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY DATA MODALITY, 2023–2028 (USD MILLION)
  • TABLE 195 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY TYPE, 2017–2022 (USD MILLION)
  • TABLE 196 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY TYPE, 2023–2028 (USD MILLION)
  • TABLE 197 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
  • TABLE 198 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
  • TABLE 199 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 200 MIDDLE EAST & AFRICA: MULTIMODAL AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 201 LATIN AMERICA: MULTIMODAL AI MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
  • TABLE 202 LATIN AMERICA: MULTIMODAL AI MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 203 LATIN AMERICA: MULTIMODAL AI MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 204 LATIN AMERICA: MULTIMODAL AI MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 205 LATIN AMERICA: MULTIMODAL AI MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
  • TABLE 206 LATIN AMERICA: MULTIMODAL AI MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
  • TABLE 207 LATIN AMERICA: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
  • TABLE 208 LATIN AMERICA: MULTIMODAL AI SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
  • TABLE 209 LATIN AMERICA: MULTIMODAL AI MARKET, BY SERVICE, 2017–2022 (USD MILLION)
  • TABLE 210 LATIN AMERICA: MULTIMODAL AI MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 211 LATIN AMERICA: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
  • TABLE 212 LATIN AMERICA: MULTIMODAL AI MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
  • TABLE 213 LATIN AMERICA: MULTIMODAL AI MARKET, BY DATA MODALITY, 2017–2022 (USD MILLION)
  • TABLE 214 LATIN AMERICA: MULTIMODAL AI MARKET, BY DATA MODALITY, 2023–2028 (USD MILLION)
  • TABLE 215 LATIN AMERICA: MULTIMODAL AI MARKET, BY TYPE, 2017–2022 (USD MILLION)
  • TABLE 216 LATIN AMERICA: MULTIMODAL AI MARKET, BY TYPE, 2023–2028 (USD MILLION)
  • TABLE 217 LATIN AMERICA: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
  • TABLE 218 LATIN AMERICA: MULTIMODAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
  • TABLE 219 LATIN AMERICA: MULTIMODAL AI MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 220 LATIN AMERICA: MULTIMODAL AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 221 OVERVIEW OF STRATEGIES ADOPTED BY KEY MULTIMODAL AI VENDORS
  • TABLE 222 MULTIMODAL AI MARKET: DEGREE OF COMPETITION
  • TABLE 223 BRAND/PRODUCT COMPARATIVE ANALYSIS
  • TABLE 224 VERTICAL FOOTPRINT (20 COMPANIES)
  • TABLE 225 REGIONAL FOOTPRINT (20 COMPANIES)
  • TABLE 226 COMPANY FOOTPRINT (20 COMPANIES)
  • TABLE 227 MULTIMODAL AI MARKET: DETAILED LIST OF KEY STARTUP/SMES
  • TABLE 228 MULTIMODAL AI MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES
  • TABLE 229 MULTIMODAL AI MARKET: PRODUCT LAUNCHES, JANUARY 2021–NOVEMBER 2023
  • TABLE 230 MULTIMODAL AI MARKET: DEALS, JANUARY 2021–NOVEMBER 2023
  • TABLE 231 MULTIMODAL AI MARKET: OTHERS, JANUARY 2021– NOVEMBER 2023
  • TABLE 232 GOOGLE: BUSINESS OVERVIEW
  • TABLE 233 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 234 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 235 GOOGLE: DEALS
  • TABLE 236 GOOGLE: OTHERS
  • TABLE 237 MICROSOFT: BUSINESS OVERVIEW
  • TABLE 238 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 239 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 240 MICROSOFT: DEALS
  • TABLE 241 OPENAI: BUSINESS OVERVIEW
  • TABLE 242 OPENAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 243 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 244 OPENAI: DEALS
  • TABLE 245 OPENAI: OTHERS
  • TABLE 246 META: BUSINESS OVERVIEW
  • TABLE 247 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 248 META: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 249 META: DEALS
  • TABLE 250 AWS: BUSINESS OVERVIEW
  • TABLE 251 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 252 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 253 AWS: DEALS
  • TABLE 254 AWS: OTHERS
  • TABLE 255 IBM: BUSINESS OVERVIEW
  • TABLE 256 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 257 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 258 IBM: DEALS
  • TABLE 259 IBM: OTHERS
  • TABLE 260 TWELVE LABS: BUSINESS OVERVIEW
  • TABLE 261 TWELVE LABS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 262 TWELVE LABS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 263 TWELVE LABS: DEALS
  • TABLE 264 AIMESOFT: BUSINESS OVERVIEW
  • TABLE 265 AIMESOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 266 AIMESOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 267 JINA AI: BUSINESS OVERVIEW
  • TABLE 268 JINA AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 269 JINA AI: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 270 UNIPHORE: BUSINESS OVERVIEW
  • TABLE 271 UNIPHORE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 272 UNIPHORE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 273 UNIPHORE: DEALS
  • TABLE 274 UNIPHORE: OTHERS
  • TABLE 275 GLOBAL GENERATIVE AI MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y %)
  • TABLE 276 GLOBAL GENERATIVE AI MARKET SIZE AND GROWTH RATE, 2023–2030 (USD MILLION, Y-O-Y %)
  • TABLE 277 GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 278 GENERATIVE AI MARKET, BY OFFERING, 2023–2030 (USD MILLION)
  • TABLE 279 GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 280 GENERATIVE AI MARKET, BY REGION, 2023–2030 (USD MILLION)
  • TABLE 281 NATURAL LANGUAGE PROCESSING MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y)
  • TABLE 282 NATURAL LANGUAGE PROCESSING MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y)
  • TABLE 283 NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017–2022 (USD MILLION)
  • TABLE 284 NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 285 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2017–2022 (USD MILLION)
  • TABLE 286 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2023–2028 (USD MILLION)
  • TABLE 287 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
  • TABLE 288 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 289 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
  • TABLE 290 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
  • TABLE 291 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
  • TABLE 292 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 293 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017–2022 (USD MILLION)
  • TABLE 294 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023–2028 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 MULTIMODAL AI MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 MULTIMODAL AI MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): FLOWCHART USING REVENUE FROM MULTIMODAL AI SOLUTIONS/SERVICES
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL MULTIMODAL AI SOLUTION/SERVICE PROVIDERS
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): REVENUES OF TOP PLAYERS AND SOURCES OF DATA
  • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE THROUGH OVERALL MULTIMODAL AI SPENDING
  • FIGURE 8 SOLUTIONS TO HOLD LARGER MARKET IN 2023
  • FIGURE 9 PLATFORM SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023
  • FIGURE 10 CLOUD DEPLOYMENT TO BE LARGER MARKET IN 2023
  • FIGURE 11 PROFESSIONAL SERVICES TO ACCOUNT FOR LARGER MARKET IN 2023
  • FIGURE 12 CONSULTING TO ACCOUNT FOR LARGEST SHARE IN 2023
  • FIGURE 13 IMAGE DATA TO ACCOUNT FOR LARGEST MARKET IN 2023
  • FIGURE 14 GENERATIVE MULTIMODAL AI TO ACCOUNT FOR LARGEST SHARE IN 2023
  • FIGURE 15 NATURAL LANGUAGE PROCESSING TO ACCOUNT FOR LARGEST MARKET IN 2023
  • FIGURE 16 HEALTHCARE & LIFE SCIENCES TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023
  • FIGURE 17 ASIA PACIFIC TO GROW AT HIGHEST CAGR IN MULTIMODAL AI MARKET
  • FIGURE 18 INCREASING NEED TO COMPREHEND AND PROCESS MULTIPLE DATA MODALITIES DRIVES MARKET GROWTH
  • FIGURE 19 SOFTWARE SEGMENT TO GROW AT HIGHEST CAGR IN MULTIMODAL AI MARKET
  • FIGURE 20 SOLUTIONS AND HEALTHCARE & LIFE SCIENCES VERTICAL TO ACCOUNT FOR LARGEST SHARES IN 2023
  • FIGURE 21 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE IN 2023
  • FIGURE 22 MARKET DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 23 MULTIMODAL AI ARCHITECTURE
  • FIGURE 24 MULTIMODAL AI MARKET EVOLUTION
  • FIGURE 25 MULTIMODAL AI MARKET: VALUE CHAIN ANALYSIS
  • FIGURE 26 KEY PLAYERS IN MULTIMODAL AI MARKET ECOSYSTEM
  • FIGURE 27 AVERAGE SELLING PRICE TREND OF KEY PLAYERS: TOP THREE DATA MODALITIES
  • FIGURE 28 PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 29 MULTIMODAL AI MARKET: TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
  • FIGURE 30 MULTIMODAL AI MARKET: TECHNOLOGY ANALYSIS
  • FIGURE 31 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2013–2023
  • FIGURE 32 TOP 10 APPLICANTS IN MULTIMODAL AI MARKET, 2013–2023
  • FIGURE 33 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023
  • FIGURE 34 COMPUTER SOFTWARE IMPORT, BY KEY COUNTRY, 2015–2022 (USD BILLION)
  • FIGURE 35 COMPUTER SOFTWARE EXPORT, BY KEY COUNTRY, 2015–2022 (USD BILLION)
  • FIGURE 36 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • FIGURE 37 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • FIGURE 38 SERVICES SEGMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 39 PLATFORM SEGMENT TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD
  • FIGURE 40 CLOUD SEGMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 41 PROFESSIONAL SERVICES TO HOLD LARGER MARKET SIZE DURING FORECAST PERIOD
  • FIGURE 42 MULTIMODAL DATA ANNOTATION SEGMENT TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 43 VIDEO DATA SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 44 NATURAL LANGUAGE PROCESSING TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD
  • FIGURE 45 INTERACTIVE MULTIMODAL AI TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 46 AUTOMOTIVE, TRANSPORTATION & LOGISTICS VERTICAL TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 47 SOUTH AFRICA TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 48 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 49 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 50 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 51 BUSINESS SEGMENT REVENUE ANALYSIS FOR KEY PLAYERS, 2018–2022 (USD BILLION)
  • FIGURE 52 MULTIMODAL AI MARKET: MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2022
  • FIGURE 53 MULTIMODAL AI MARKET: COMPANY EVALUATION MATRIX, 2022
  • FIGURE 54 PRODUCT FOOTPRINT (20 COMPANIES)
  • FIGURE 55 MULTIMODAL AI MARKET: STARTUP/SME EVALUATION MATRIX, 2022
  • FIGURE 56 VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 57 YTD PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 58 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 59 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 60 META: COMPANY SNAPSHOT
  • FIGURE 61 AWS: COMPANY SNAPSHOT
  • FIGURE 62 IBM: COMPANY SNAPSHOT

The research study for the multimodal AI market involved extensive secondary sources, directories, and several journals. Primary sources were mainly industry experts from the core and related industries, preferred multimodal AI solution providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

The market size of companies offering multimodal AI solutions and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.

In the secondary research process, various sources were referred to for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendor websites. Additionally, multimodal AI spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to solutions, services, deployment modes, functionality, applications, verticals, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and multimodal AI expertise; related key executives from multimodal AI solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using multimodal AI, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of multimodal AI solutions and services, which would impact the overall multimodal AI market

The following is the breakup of primary profiles:

Multimodal Al Market Size, and Share

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

Market Size Estimation

Multiple approaches were adopted for estimating and forecasting the multimodal AI market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of solutions and services.

Market Size Estimation Methodology-Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the Multimodal AI market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of solutions and services, deployment modes, applications, and verticals. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

Market Size Estimation Methodology-Bottom-up approach

In the bottom-up approach, the adoption rate of multimodal AI solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of multimodal AI solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the multimodal AI market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major multimodal AI solution providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall multimodal AI market size and segments’ size were determined and confirmed using the study

Top-down and Bottom-up approaches

Multimodal Al Market Size, and Share

To know about the assumptions considered for the study, Request for Free Sample Report

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

According to Twelve Labs, Multimodal AI is a rapidly evolving field that focuses on understanding and leveraging multiple modalities to build more comprehensive and accurate AI models.

According to Aimesoft, Multimodal AI is a new AI paradigm, in which various data types (image, text, speech, numerical data) are combined with multiple intelligence processing algorithms to achieve higher performances. Multimodal AI often outperforms single modal AI in many real-world problems.

Stakeholders

  • Multimodal AI solution vendors
  • Managed service providers
  • Support and maintenance service providers
  • System Integrators (SIs)/migration service providers
  • Value-added resellers (VARs) and distributors
  • Distributors and value-added resellers (VARs)
  • System integrators (SIs)
  • Independent software vendors (ISV)
  • Third-party providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the multimodal AI market by offering (solutions and services) data modality, technology, type, vertical, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • 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, the 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 multimodal AI 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 as per Feasibility

  • Further breakup of the North American Multimodal AI Market
  • Further breakup of the European Market
  • Further breakup of the Asia Pacific Market
  • Further breakup of the Middle East & Africa Market
  • Further breakup of the Latin American Multimodal AI Market

Company Information

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

Previous Versions of this Report

Custom Market Research Services

We Will Customise The Research For You, In Case The Report Listed Above Does Not Meet With Your Requirements

Get 10% Free Customisation

Growth opportunities and latent adjacency in Multimodal AI Market

+1-888600-6441

Corporate Office Hours

+1-888600-6441

US/Can Toll Free

+44-800-368-9399

UK Office Hours

©2024 Marketsandmarkets Research Private Ltd. All Rights Reserved.

DMCA.com Protection Status