AI Inference Market Size, Share & Trends

Report Code SE 9299
Published in Feb, 2025, By MarketsandMarkets™
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AI Inference Market by Compute (GPU, CPU, FPGA), Memory (DDR, HBM), Network (NIC/Network Adapters, Interconnect), Deployment (On-premises, Cloud, Edge), Application (Generative AI, Machine Learning, NLP, Computer Vision) - Global Forecast to 2030

AI Inference Market Size, Share & Trends

The global AI Inference market is expected to grow from USD 106.15 billion in 2025 to USD 254.98 billion by 2030 at a CAGR of 19.2% during the estimated period 2025-2030.

The AI inference market is experiencing exponential growth, fueled by advancements in generative AI (GenAI) and large language models (LLMs). Leading players, including NVIDIA, AMD, Google, AWS, are innovating energy-efficient AI inference chips such as GPU, TPU, and Inferentia, to meet hyperscalers’ demands for high-performance machine learning workloads. In AI inference market the edge-computing adoption is gaining traction to achieve low-latency inference, while the hybrid cloud-edge architectures are also witnessing adoption to achieve the scalability, and sustainability-driven hardware optimization. Industries such as healthcare, automotive, and retail are rapidly adopting inference solutions for AI diagnostics, autonomous driving, and dynamic personalization respectively. Demand for AI inference will further escalate as enterprises prioritize real-time GenAI deployment and hyperscalers expand infrastructure to support compute-intensive, data-driven decision-making globally, thus fueling the market growth.

AI Inference Market

Attractive Opportunities in the AI Inference Market

NORTH AMERICA

North America accounted for the largest share of 36.6% of the AI Inference market in 2024.

The increasing adoption of generative AI and large language models is driving demand for AI inference chips capable of real-time processing at scale.

Product launches are expected to offer lucrative growth opportunities for market players in the next five years.

Strong presence of leading technology companies and cloud providers in North America which are heavily investing in advanced AI inference technologies to fuel market growth.

NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), SK HYNIX INC. (South Korea), and SAMSUNG (South Korea) are the major players in the AI inference market.

Global AI Inference Market Dynamics

DRIVER: Enhanced GPU capabilities for inference tasks

Increased GPU performance for AI inference is a significant driver of AI inference market, as GPUs are well-suited to speed up AI workloads. Modern AI applications, especially for inference tasks, demand huge computational power to process large data volumes at high speeds. GPUs, with their parallel processing architecture, provide speed and efficiency advantages over traditional CPUs. Companies like NVIDIA, AMD, and Intel are leading the development of AI inference hardware, including GPUs tailored for AI inference. For example, NVIDIA’s TensorRT framework, and its A100 and H100 GPUs, are optimized for inference, offering improved performance with features like mixed-precision support and tensor cores. These technologies enable industries including healthcare (real-time medical image analysis), retail (personalized recommendations), and automotive (autonomous navigation). This growth has been fueled even further by new product releases. In March 2024, NVIDIA launched the Blackwell platform, which supports real-time generative AI and LLM inference for models with up to 10 trillion parameters. Cloud service providers such as AWS, Microsoft and Google Cloud also provide GPU-accelerated instances, making AI inference available to companies of all sizes. AWS's Inferentia chips, an AI inference chip, save costs while increasing performance. These innovations are broadening the AI inference market by improving performance, decreasing latency, and lowering costs, that is further fuelling adoption and innovation.

RESTRAINTS: Computational workload and high-power consumption in AI inference chips

One of the major restraint in the AI inference market is computational workload and high power consumption in AI inference chips. AI workloads in hyperscale data centers require significant computational power, when models such as deep learning takes substantial energy. High-performance AI inference hardware such as GPUs, TPUs and AI-accelerated processors enable real-time, low-latency processing in voice recognition, autonomous systems and recommendation engines. This rise in the energy usage leads to increased operational expenses and a larger carbon footprint, which can limit scalability and adoption of AI inference hardware, particularly for organizations dedicated to sustainability. Firms such as NVIDIA Corporation and Intel corporation are designing GPUs with increased thermal design power (TDP) to support more powerful AI models. For instance, NVIDIA introduced the L4 GPU with TDP of 40-72 watts in 2023, and the GB200 GPU with TDP of 1,200 watts in 2024. Intel also released the Flex140 GPU (2022) and Max 1450 GPU (2023). This transition to higher TDP GPUs improves processing capacity but raises energy usage and cooling requirements, posing challenges for mass adoption in data centers. As the demand for AI inference hardware is increasing, managing these factors that becomes essential.

 

OPPORTUNITY: Growth of AI-enabled healthcare and diagnostics

The development of AI-enabled healthcare and diagnostics presents a significant opportunity for the AI inference market, fueled by the need for real-time, accurate, and efficient processing of medical data. AI inference models are widely utilized in medical imaging, processing X-rays, MRIs, and CT scans to diagnose conditions such as tumors, fractures, and abnormalities with great accuracy. The growing adoption of AI-based solutions by hospitals and diagnostic centers to automate and improve decision-making has increased demand for AI inference hardware and software. With the healthcare industry increasingly producing large amounts of data, the demand for inference models with real-time analytics is driving the evolution of GPUs, TPUs, and special-purpose accelerators, including AI inference chips, for medical purposes. Also, the development of portable and wearable healthcare devices like smartwatches and wearables ECG monitors, relies on AI inference hardware to observe and analyze biosignals such as heart rate, blood pressure, and glucose levels in real time. These devices give instant feedback to patients and healthcare professionals, allowing them to undertake proactive health management. Breakthroughs in edge AI technology further supports these applications by providing the capability of performing inference activities locally, reducing latency, and enabling continuous monitoring on remote or resource-limited environments.

CHALLENGE: Data privacy concerns

Data privacy issues related to AI platforms presents a major challenge for the AI Inference market. AI platforms need huge datasets to train algorithms, which comprises of personal and sensitive data. The processing, storage, and gathering of the data pose serious privacy concerns, as there exists a threat of unauthorized usage, data breaches, and misuse of personal data. One of the most important issues is the risk of data breaches and cyberattacks. AI platforms, due to their central role in data processing, can become the primary target for hackers. Furthermore, the complexity and opacity of AI systems make them hard to ensure compliance with data protection regulations, such as the General Data Protection Regulation (GDPR). Moreover, AI inference is becoming cloud-based and relies on edge computing, leading to loss of data privacy with the potential risks of data flowing over networks or being stored within third-party data centers. The centralization of sensitive data in the cloud makes it vulnerable to unwanted access and cyberattacks, aggravating privacy challenges. To forestall these vulnerabilities, companies will need to integrate robust encryption, data anonymization, and safe authentication controls into AI inference systems, all of which will lead to increasing system complexity and cost.

Global AI Inference Market Ecosystem Analysis

The ecosystem of AI Inference market comprises designers, capital equipment providers, manufacturers and end users. Each one of these collaborates towards the aim of advancing AI inference market by sharing knowledge, resources, and expertise to attain end innovation in this field. Manufacturers such as such as NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), are at the core of the AI inference market that are responsible for developing AI inference hardwares for various applications.

Top Companies in AI Inference Market

GPU segment holds the high market share in the AI inference market in 2024

GPU holds the largest share in the AI inference market, which is driven by their ability to handle parallel processing tasks, essential to handle AI workloads efficiently. GPUs have the ability to process huge amount of computation involved in the training and running deep learning models through complex matrix multiplications. Given the fast growth rate of AI applications demanding efficient hardware solutions, they are indispensable in data centers and AI research. New GPUs, which enhance AI capabilities for data centers, are constantly developed and released by major manufacturers such as NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US, and Intel Corporation (US). For example, in November 2023, NVIDIA released an upgraded HGX H200 platform based on Hopper architecture featuring the H200 Tensor core GPU. Leading cloud service providers, including Amazon Web Services, Inc., Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure, are committed to deploying H200-based GPUs to prove that GPUs are one of the critical components of the cloud computing ecosystem. As generative AI, natural language processing, and computer vision applications demand even greater processing power, investments in GPU clusters and innovations in GPU technology will continue to grow.

High-bandwidth memory (HBM) segment to hold largest market share in 2030

The high-bandwidth memory (HBM) segment will dominate the market share in 2030. The rapidly escalating generative AI has increased the demand for high-speed data processing capabilities provided through HBM technology. As organizations expand their AI workloads, the need for increased data transfer rates between processing units and memory becomes critical. Some of the major memory suppliers such as Samsung (South Korea), SK HYNIX INC. (South Korea), and Micron Technology, Inc. (US) are scaling up their HBM production capabilities to address anticipated undersupply and meet growing market needs. For instance, In July 2023, Micron Technology, Inc. introduced its 8-high 24GB HBM3 Gen2 memory with bandwidth greater than 1.2 Tbps and a pin speed of over 9.2 Gbps. Micron's HBM3 Gen2 offering sets new record for the artificial intelligence (AI) data center performance, capacity, and power efficiency metrics. Such enhancement in HBM with generative AI innovation reduces the training time of large language models (LLMs) and provides both efficient AI inference and the total cost of ownership. Advanced HBM generations, HBM3 and HBM4, are expected to bring improvements in memory density and bandwidth, further setting HBM as a critical component in the AI inference market.

Cloud Service Providers (CSP) to hold the largest market share during the forecast period

The cloud service providers will hold the largest market share in the AI inference market due to their capacity to offer scalable, cost-effective, and high-performance solutions for AI workloads. They enable companies to deploy and scale AI models with limited investment in infrastructure capital, meeting the growing need for AI-driven applications across sectors like healthcare, BFSI, retail, and automotive. Cloud service providers continue to invest in the latest technologies and collaborations to make their offerings more powerful, offering AI inference capabilities. For example, in October 2024, NVIDIA Corporation (US) announced the integration of NVIDIA NIM with Google Kubernetes Engine (GKE) on Google Cloud. NVIDIA NIM is part of the NVIDIA AI Enterprise software suite, which provides a set of microservices designed to deliver secure and reliable AI inference deployment. It integrates with GKE, a managed Kubernetes service, to enable organizations to deploy and manage containerized AI workloads at scale and benefit from Google Cloud infrastructure. Available via Google Cloud Marketplace, this collaboration simplifies deployment and accelerates AI inference capabilities. Therefore, such developments emphasize the fundamental role of cloud providers toward AI innovation and adoption.

Asia Pacific Region to Hold High CAGR in The AI Inference Market in the Forecast Period

Asia Pacific AI inference market will grow at a significant rate during the forecast period. Countries such as China, Japan, South Korea and India are at the forefront of AI innovation, where governments and private sectors are making substantial investments in AI research and development. For instance, in September 2024, Lenovo (Hong Kong) announced the commencement of its high-performance AI server manufacturing operations in India and also open a state-of-the-art Research & Development (R&D) lab to advance Lenovo's Infrastructure Solutions. These significant announcements reflect Lenovo's strategic commitment to making India an important hub for innovation and manufacturing of AI technology products while supporting the government's 'Made in India' and 'AI for All' initiatives. These developments underscores the escalating influence of Asia Pacific in the AI Inference space, as increasing investments in AI infrastructures, local manufacturing, and efforts for R&D fueling fast expansion. In addition to this, enterprise and government efforts to drive digital transformation as well as cloud adoption will drive the demand for high-performance AI inference offerings, to process large volumes of data, making Asia Pacific one of the fastest-growing markets for AI Inference globally.

LARGEST MARKET SHARE IN 2025-2030
CHAINA FASTER-GROWING MARKET IN REGION
AI Inference Market Size and Share

Recent Developments of AI Inference Market

  • In October 2024, Advanced Micro Devices, Inc. (US) launched 5th Gen AMD EPYC processors for AI, cloud, and enterprise. It offers maximized GPU acceleration, per-server performance, and AI inference performance. AMD EPYC 9005 processors provide density and performance for cloud workloads.
  • In October 2024, Intel Corporation (US) and Inflection AI (US) collaborated to accelerate AI adoption for enterprises and developers by launching Inflection for Enterprise, an enterprise-grade AI system. Powered by Intel Gaudi and Intel Tiber AI Cloud, this system delivers customizable, scalable AI capabilities, enabling companies to deploy AI co-workers trained on their unique data and policies.
  • In August 2024, Cerebras announced Cerebras Inference, the fastest AI inference solution, delivering 1,800 tokens per second for Llama3.1 8B and 450 tokens per second for Llama3.1 70B, outperforming GPU-based solutions by 20 times. It offers 100x better price-performance while maintaining accuracy in the 16-bit domain.
  • In May 2025, NinjaTech AI, a generative AI company, has partnered with Amazon Web Services, Inc. to launch its new personal AI, Ninja, powered by AWS's Trainium and Inferentia2 chips. These chips enable fast, scalable, and sustainable AI agent training, helping users efficiently manage complex tasks like research and scheduling. NinjaTech AI reports up to 80% cost savings and 60% increased energy efficiency using AWS’s cloud capabilities.
  • In March 2024, NVIDIA Corporation introduced the NVIDIA Blackwell platform to enable organizations to build and run real-time generative AI featuring six transformative technologies for accelerated computing. It enables AI training and real-time LLM inference for models up to 10 trillion parameters.
  • In September 2024, Salesforce acquired Zoomin, a data management provider, to enhance its Data Cloud and AI capabilities. Zoomin's expertise in unstructured data enabled Salesforce's Agentforce to deliver more personalized and context-aware AI interactions. The acquisition aimed to provide real-time, data-informed responses tailored to individual customer needs, improving AI agents' intelligence.

Key Market Players

List of Top AI Inference Market

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Scope of the Report

Report Attribute Details
Market size available for years 2021–2030
Base year considered 2024
Forecast period 2025–2030
Forecast units Value (USD Million/Billion)
Segments Covered Compute, Memory, Network, Deployment, Application, End User, and Region.
Regions covered North America, Europe, Asia Pacific, and Rest of the world (RoW)

Key Questions Addressed by the Report

What is the AI Inference market's major driving factors and opportunities?
The major driving factors for AI Inference market include rising demand for real-time processing on edge devices and growth of advanced cloud platforms offering specialized AI inference services. Key opportunities lie in growth of AI-enabled healthcare and diagnostics and advancements in natural language processing (NLP) for customer experience.
Which region is expected to hold the highest market share?
North America holds larger market share of the AI Inference market. Rising government investments and the presence of major market players in the region is driving the demand for AI Inference in North America.
Who are the leading players in the global AI Inference market?
Leading players operating in the AI Inference market are NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), SK HYNIX INC. (South Korea), and SAMSUNG (South Korea).
What are some of the technological advancements in the market?
Generative AI, High bandwidth memory (HBM), and High-performance computing (HPC) are major technological advancements. Edge computing is another advancement which is expected to drive market growth.
What is the size of the global AI Inference market?
The global AI Inference market is expected to be valued at USD 106.15 billion in 2025 and is projected to reach USD 254.98 billion by 2030, growing at a CAGR of 19.2% from 2025-2030.

 

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Table Of Contents

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TITLE
PAGE NO
INTRODUCTION
31
RESEARCH METHODOLOGY
35
EXECUTIVE SUMMARY
49
PREMIUM INSIGHTS
55
MARKET OVERVIEW
60
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Growing demand for real-time processing on edge devices
    - Growth of advanced cloud platforms offering specialized AI inference services
    - Enhanced GPU capabilities for inference tasks
    RESTRAINTS
    - Computational workload and high power consumption
    - Shortage of skilled workforce
    OPPORTUNITIES
    - Growth of AI-enabled healthcare and diagnostics
    - Advancements in natural language processing for improved customer experience
    - Increasing demand for real-time data processing and analytics
    CHALLENGES
    - Data privacy concerns
    - Supply chain disruptions
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.4 PRICING ANALYSIS
    INDICATIVE PRICING OF KEY PLAYERS, BY COMPUTE
    AVERAGE SELLING PRICE TREND, BY REGION
  • 5.5 VALUE CHAIN ANALYSIS
  • 5.6 ECOSYSTEM ANALYSIS
  • 5.7 INVESTMENT AND FUNDING SCENARIO
  • 5.8 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - GenAI workload
    - High bandwidth memory (HBM)
    - High-performance computing (HPC)
    COMPLEMENTARY TECHNOLOGIES
    - High-speed interconnects
    - Edge computing infrastructure
    - Data center power management and cooling system
    ADJACENT TECHNOLOGIES
    - Cloud AI services
    - AI development frameworks
  • 5.9 PATENT ANALYSIS
  • 5.10 TRADE ANALYSIS
    IMPORT SCENARIO (HS CODE 854231)
    EXPORT SCENARIO (HS CODE 854231)
  • 5.11 KEY CONFERENCES AND EVENTS, 2025–2026
  • 5.12 CASE STUDY ANALYSIS
    AI-POWERED RADIATION THERAPY OPTIMIZATION WITH INTEL CORPORATION AND SIEMENS HEALTHINEERS
    ARTIFICIAL INTELLIGENCE ACCELERATES DARK MATTER SEARCH WITH ADVANCED MICRO DEVICES, INC. FPGAS
    SERVING INFERENCE FOR LLMS: A CASE STUDY WITH NVIDIA TRITON INFERENCE SERVER AND ELEUTHER AI
    FINCH COMPUTING REDUCES INFERENCE COSTS USING AWS INFERENTIA FOR LANGUAGE TRANSLATION
  • 5.13 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    STANDARDS
  • 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
AI INFERENCE MARKET, BY COMPUTE
105
  • 6.1 INTRODUCTION
  • 6.2 GPU
    ABILITY TO HANDLE AI WORKLOADS AND PROCESS VAST DATA VOLUMES TO BOOST ADOPTION
  • 6.3 CPU
    RISING DEMAND FOR VERSATILE AND GENERAL-PURPOSE AI PROCESSING TO BOOST MARKET GROWTH
  • 6.4 FPGA
    INCREASING NEED FOR FLEXIBILITY AND CUSTOMIZATION FOR AI WORKLOADS TO SPUR DEMAND
  • 6.5 NPU
    RISING DEMAND FOR HIGH-END SMARTPHONES TO DRIVE SEGMENTAL GROWTH
  • 6.6 TPU
    NEED FOR FASTER PROCESSING IN AI RESEARCH AND APPLICATION DEVELOPMENT TO BOOST DEMAND
  • 6.7 FSD
    DEMAND FOR HIGH-PERFORMANCE, ENERGY-EFFICIENT AI PROCESSING IN AUTONOMOUS VEHICLES TO FUEL ADOPTION
  • 6.8 INFERENTIA
    ABILITY TO TRAIN COMPLEX AI AND DEEP LEARNING MODELS TO DRIVE ADOPTION
  • 6.9 T-HEAD
    RISING DEMAND FOR CUSTOMIZED, HIGH-PERFORMANCE AI CHIPS ACROSS CHINESE DATA CENTERS TO STIMULATE MARKET GROWTH
  • 6.10 MTIA
    META'S EXPANSION INTO AR, VR, AND METAVERSE TO FUEL MARKET GROWTH
  • 6.11 LPU
    INCREASING NEED TO HANDLE COMPLEX NLP AND LANGUAGE- BASED AI TASKS TO ACCELERATE DEMAND
  • 6.12 OTHER ASICS
AI INFERENCE MARKET, BY MEMORY
118
  • 7.1 INTRODUCTION
  • 7.2 DDR
    RISING ADOPTION OF AI-ENABLED CPUS IN DATA CENTERS TO SUPPORT MARKET GROWTH
  • 7.3 HBM
    ELEVATING NEED FOR HIGH THROUGHPUT IN DATA-INTENSIVE AI TASKS TO FUEL MARKET GROWTH
AI INFERENCE MARKET, BY NETWORK
123
  • 8.1 INTRODUCTION
  • 8.2 NIC/NETWORK ADAPTERS
    INFINIBAND
    - Growing utilization of HPC and AI models to minimize latency and maximize throughput to boost segmental growth
    ETHERNET
    - Rising demand for scalable and cost-effective networking solutions to propel growth
  • 8.3 INTERCONNECTS
    GROWING COMPLEXITY OF AI MODELS REQUIRING HIGH-BANDWIDTH DATA PATHS TO FUEL DEMAND
AI INFERENCE MARKET, BY DEPLOYMENT
130
  • 9.1 INTRODUCTION
  • 9.2 ON-PREMISES
    GROWING DATA PRIVACY CONCERNS TO DRIVE MARKET
  • 9.3 CLOUD
    ABILITY TO SCALE RESOURCES ON DEMAND TO BOOST GROWTH
  • 9.4 EDGE
    INCREASING APPLICATION IN HEALTHCARE, AUTOMOTIVE, AND INDUSTRIAL AUTOMATION TO FOSTER MARKET GROWTH
AI INFERENCE MARKET, BY APPLICATION
135
  • 10.1 INTRODUCTION
  • 10.2 GENERATIVE AI
    RULE-BASED MODELS
    - Integration with ML and deep learning to offer lucrative growth opportunities
    STATISTICAL MODELS
    - Growing application in finance, economics, and healthcare sectors to fuel market growth
    DEEP LEARNING
    - Ability to advance AI technologies to boost demand
    GENERATIVE ADVERSARIAL NETWORKS (GANS)
    - Need to handle large-scale data to fuel market growth
    AUTOENCODERS
    - Increasing use in data processing, anomaly detection, and feature extraction to accelerate demand
    CONVOLUTIONAL NEURAL NETWORKS (CNNS)
    - Rising number of autonomous vehicles and smart cities to drive market
    TRANSFORMER MODELS
    - Growing popularity of GPT models and BERT to offer lucrative growth opportunities
  • 10.3 MACHINE LEARNING
    RISING APPLICATION FOR REAL-TIME DECISION-MAKING AND DATA ANALYSIS TO FOSTER MARKET GROWTH
  • 10.4 NATURAL LANGUAGE PROCESSING
    GROWING DEMAND FOR SENTIMENT ANALYSIS, LANGUAGE TRANSLATION, AND SPEECH RECOGNITION TO DRIVE MARKET
  • 10.5 COMPUTER VISION
    ESCALATING NEED FOR ADVANCED PROCESSING CAPABILITIES TO BOOST DEMAND
AI INFERENCE MARKET, BY END USER
147
  • 11.1 INTRODUCTION
  • 11.2 CONSUMER
    GROWING ADOPTION OF AI-ENABLED PERSONAL DEVICES TO PROPEL MARKET
  • 11.3 CLOUD SERVICE PROVIDERS
    SURGING AI WORKLOADS AND CLOUD ADOPTION TO STIMULATE MARKET GROWTH
  • 11.4 ENTERPRISES
    HEALTHCARE
    - Growing demand for personalized treatment to fuel market growth
    BFSI
    - Rising focus on enhancing security and improving customer services to foster market growth
    AUTOMOTIVE
    - Growing focus on safe and enhanced driving experiences to fuel demand
    RETAIL & E-COMMERCE
    - Rapid shift toward data-centric models to enhance customer engagement to accelerate demand
    MEDIA & ENTERTAINMENT
    - Rising demand for content recommendation engines and interactive media experiences to foster market growth
    OTHERS
  • 11.5 GOVERNMENT ORGANIZATIONS
    GROWING NEED TO ENHANCE PUBLIC SAFETY AND SECURITY TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
AI INFERENCE MARKET, BY REGION
158
  • 12.1 INTRODUCTION
  • 12.2 NORTH AMERICA
    MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    US
    - Presence of established AI inference manufacturers to drive market
    CANADA
    - Growing emphasis on commercializing AI to offer lucrative growth opportunities
    MEXICO
    - Rapid digital transformation and surging adoption of cloud computing to fuel market growth
  • 12.3 EUROPE
    MACROECONOMIC OUTLOOK FOR EUROPE
    UK
    - Growing investments in data center infrastructure to boost demand
    GERMANY
    - Increasing adoption of smart technologies to boost manufacturing to drive market
    FRANCE
    - Rising government-led initiatives to strengthen AI technology to fuel market growth
    ITALY
    - Rising emphasis on developing digital infrastructure to offer lucrative growth opportunities
    SPAIN
    - Rapid adoption of cloud computing to accelerate demand
    REST OF EUROPE
  • 12.4 ASIA PACIFIC
    MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    CHINA
    - Proliferation of IoT devices to drive market
    JAPAN
    - Rising investments to boost cloud infrastructure to foster market growth
    INDIA
    - Government-led initiatives to boost AI infrastructure to offer lucrative growth opportunities
    SOUTH KOREA
    - Thriving semiconductor industry to drive market
    REST OF ASIA PACIFIC
  • 12.5 ROW
    MACROECONOMIC OUTLOOK FOR ROW
    MIDDLE EAST
    - Growing emphasis on digital transformation and technological innovation to drive market
    - GCC
    - Rest of Middle East
    AFRICA
    - Growing need for managing advanced data processing requirements to fuel market growth
    SOUTH AMERICA
    - Growing need for flexible and secure cloud storage solutions to accelerate demand
COMPETITIVE LANDSCAPE
225
  • 13.1 INTRODUCTION
  • 13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024
  • 13.3 REVENUE ANALYSIS, 2022–2024
  • 13.4 MARKET SHARE ANALYSIS, 2024
  • 13.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 13.6 BRAND/PRODUCT COMPARISON
  • 13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2024
    - Company footprint
    - Compute footprint
    - Memory footprint
    - Network footprint
    - Deployment footprint
    - Application footprint
    - End user footprint
    - Region footprint
  • 13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    - Detailed list of key startups/SMEs
    - Competitive benchmarking of key startups/SMEs
  • 13.9 COMPETITIVE SCENARIO
    PRODUCT LAUNCHES
    DEALS
COMPANY PROFILES
272
  • 14.1 KEY PLAYERS
    NVIDIA CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ADVANCED MICRO DEVICES, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    INTEL CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SK HYNIX INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SAMSUNG
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    MICRON TECHNOLOGY, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    APPLE INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    QUALCOMM TECHNOLOGIES, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    HUAWEI TECHNOLOGIES CO., LTD.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    GOOGLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    AMAZON WEB SERVICES, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    TESLA
    - Business overview
    - Products/Solutions/Services offered
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    META
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    T-HEAD
    - Business overview
    - Products/Solutions/Services offered
    GRAPHCORE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    CEREBRAS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
  • 14.2 OTHER PLAYERS
    MYTHIC
    BLAIZE
    GROQ, INC.
    HAILO TECHNOLOGIES LTD.
    SIMA TECHNOLOGIES, INC.
    KNERON, INC.
    TENSTORRENT
    SAMBANOVA SYSTEMS, INC.
    SAPEON INC.
    REBELLIONS INC.
    SHANGHAI BIREN TECHNOLOGY CO., LTD.
APPENDIX
358
  • 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 INFERENCE MARKET: RESEARCH ASSUMPTIONS
  • TABLE 2 AI INFERENCE MARKET: RISK ANALYSIS
  • TABLE 3 NVIDIA’S BLACKWELL PLATFORM TO HAVE TDP EXCEEDING 1KW
  • TABLE 4 INDICATIVE PRICING OF COMPUTE OFFERED BY KEY PLAYERS, 2024 (USD)
  • TABLE 5 AVERAGE SELLING PRICE TREND OF GPU, BY REGION, 2021–2024 (USD)
  • TABLE 6 AVERAGE SELLING PRICE TREND OF CPU, BY REGION, 2021–2024 (USD)
  • TABLE 7 AVERAGE SELLING PRICE TREND OF FPGA, BY REGION, 2021–2024 (USD)
  • TABLE 8 AI INFERENCE MARKET: ROLE OF COMPANIES IN ECOSYSTEM
  • TABLE 9 LIST OF PATENTS, 2022–2024
  • TABLE 10 IMPORT DATA FOR HS CODE 854231-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 11 EXPORT DATA FOR HS CODE 854231-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 12 LIST OF KEY CONFERENCES AND EVENTS, 2025–2026
  • TABLE 13 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 16 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 17 REGULATORY STANDARDS
  • TABLE 18 AI INFERENCE MARKET: PORTER’S FIVE FORCES ANALYSIS
  • 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 INFERENCE MARKET, BY COMPUTE, 2021–2024 (USD MILLION)
  • TABLE 22 AI INFERENCE MARKET, BY COMPUTE, 2025–2030 (USD MILLION)
  • TABLE 23 AI INFERENCE MARKET, BY COMPUTE, 2021–2024 (THOUSAND UNITS)
  • TABLE 24 AI INFERENCE MARKET, BY COMPUTE, 2025–2030 (THOUSAND UNITS)
  • TABLE 25 COMPUTE: AI INFERENCE MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 26 COMPUTE: AI INFERENCE MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 27 GPU: AI INFERENCE MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 28 GPU: AI INFERENCE MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 29 CPU: AI INFERENCE MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 30 CPU: AI INFERENCE MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 31 FPGA: AI INFERENCE MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 32 FPGA: AI INFERENCE MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 33 NPU: AI INFERENCE MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 34 NPU: AI INFERENCE MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 35 AI INFERENCE MARKET, BY MEMORY, 2021–2024 (USD MILLION)
  • TABLE 36 AI INFERENCE MARKET, BY MEMORY, 2025–2030 (USD MILLION)
  • TABLE 37 MEMORY: AI INFERENCE MARKET, BY REGION, 2021–2024 (USD MILLION)
  • TABLE 38 MEMORY: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 39 DDR: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 40 DDR: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 41 HBM: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 42 HBM: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 43 AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 44 AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 45 NETWORK: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 46 NETWORK: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 47 AI INFERENCE MARKET, BY NIC/NETWORK ADAPTERS TYPE, 2021−2024 (USD MILLION)
  • TABLE 48 AI INFERENCE MARKET, BY NIC/NETWORK ADAPTERS TYPE, 2025−2030 (USD MILLION)
  • TABLE 49 NIC/NETWORK ADAPTERS: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 50 NIC/NETWORK ADAPTERS: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 51 INTERCONNECTS: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 52 INTERCONNECTS: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 53 AI INFERENCE MARKET, BY DEPLOYMENT, 2021−2024 (USD MILLION)
  • TABLE 54 AI INFERENCE MARKET, BY DEPLOYMENT, 2025−2030 (USD MILLION)
  • TABLE 55 AI INFERENCE MARKET, BY APPLICATION, 2021−2034 (USD MILLION)
  • TABLE 56 AI INFERENCE MARKET, BY APPLICATION, 2025−2030 (USD MILLION)
  • TABLE 57 GENERATIVE AI: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 58 GENERATIVE AI: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 59 MACHINE LEARNING: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 60 MACHINE LEARNING: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 61 NATURAL LANGUAGE PROCESSING: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 62 NATURAL LANGUAGE PROCESSING: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 63 COMPUTER VISION: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 64 COMPUTER VISION: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 65 AI INFERENCE MARKET, BY END USER, 2021−2024 (USD MILLION)
  • TABLE 66 AI INFERENCE MARKET, BY END USER, 2025−2030 (USD MILLION)
  • TABLE 67 CONSUMER: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 68 CONSUMER: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 69 CLOUD SERVICE PROVIDERS: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 70 CLOUD SERVICE PROVIDERS: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 71 ENTERPRISES: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 72 ENTERPRISES: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 73 GOVERNMENT ORGANIZATIONS: AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 74 GOVERNMENT ORGANIZATIONS: AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 75 AI INFERENCE MARKET, BY REGION, 2021−2024 (USD MILLION)
  • TABLE 76 AI INFERENCE MARKET, BY REGION, 2025−2030 (USD MILLION)
  • TABLE 77 NORTH AMERICA: AI INFERENCE MARKET, BY COUNTRY, 2021−2024 (USD MILLION)
  • TABLE 78 NORTH AMERICA: AI INFERENCE MARKET, BY COUNTRY, 2025−2030 (USD MILLION)
  • TABLE 79 NORTH AMERICA: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 80 NORTH AMERICA: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 81 NORTH AMERICA: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 82 NORTH AMERICA: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 83 NORTH AMERICA: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 84 NORTH AMERICA: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 85 NORTH AMERICA: AI INFERENCE MARKET, BY APPLICATION, 2021−2024 (USD MILLION)
  • TABLE 86 NORTH AMERICA: AI INFERENCE MARKET, BY APPLICATION, 2025−2030 (USD MILLION)
  • TABLE 87 NORTH AMERICA: AI INFERENCE MARKET FOR GENERATIVE AI, BY TYPE, 2021−2024 (USD MILLION)
  • TABLE 88 NORTH AMERICA: AI INFERENCE MARKET FOR GENERATIVE AI, BY TYPE, 2025−2030 (USD MILLION)
  • TABLE 89 NORTH AMERICA: AI INFERENCE MARKET, BY END USER, 2021−2024 (USD MILLION)
  • TABLE 90 NORTH AMERICA: AI INFERENCE MARKET, BY END USER, 2025−2030 (USD MILLION)
  • TABLE 91 NORTH AMERICA: AI INFERENCE MARKET, BY ENTERPRISES, 2021−2024 (USD MILLION)
  • TABLE 92 NORTH AMERICA: AI INFERENCE MARKET, BY ENTERPRISES, 2025−2030 (USD MILLION)
  • TABLE 93 US: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 94 US: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 95 US: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 96 US: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 97 US: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 98 US: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 99 CANADA: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 100 CANADA: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 101 CANADA: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 102 CANADA: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 103 CANADA: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 104 CANADA: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 105 MEXICO: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 106 MEXICO: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 107 MEXICO: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 108 MEXICO: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 109 MEXICO: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 110 MEXICO: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 111 EUROPE: AI INFERENCE MARKET, BY COUNTRY, 2021−2024 (USD MILLION)
  • TABLE 112 EUROPE: AI INFERENCE MARKET, BY COUNTRY, 2025−2030 (USD MILLION)
  • TABLE 113 EUROPE: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 114 EUROPE: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 115 EUROPE: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 116 EUROPE: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 117 EUROPE: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 118 EUROPE: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 119 EUROPE: AI INFERENCE MARKET, BY APPLICATION, 2021−2024 (USD MILLION)
  • TABLE 120 EUROPE: AI INFERENCE MARKET, BY APPLICATION, 2025−2030 (USD MILLION)
  • TABLE 121 EUROPE: AI INFERENCE MARKET FOR GENERATIVE AI, BY TYPE, 2021−2024 (USD MILLION)
  • TABLE 122 EUROPE: AI INFERENCE MARKET FOR GENERATIVE AI, BY TYPE, 2025−2030 (USD MILLION)
  • TABLE 123 EUROPE: AI INFERENCE MARKET, BY END USER, 2021−2024 (USD MILLION)
  • TABLE 124 EUROPE: AI INFERENCE MARKET, BY END USER, 2025−2030 (USD MILLION)
  • TABLE 125 EUROPE: AI INFERENCE MARKET, BY ENTERPRISES, 2021−2024 (USD MILLION)
  • TABLE 126 EUROPE: AI INFERENCE MARKET, BY ENTERPRISES, 2025−2030 (USD MILLION)
  • TABLE 127 UK: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 128 UK: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 129 UK: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 130 UK: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 131 UK: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 132 UK: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 133 GERMANY: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 134 GERMANY: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 135 GERMANY: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 136 GERMANY: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 137 GERMANY: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 138 GERMANY: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 139 FRANCE: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 140 FRANCE: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 141 FRANCE: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 142 FRANCE: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 143 FRANCE: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 144 FRANCE: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 145 ITALY: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 146 ITALY: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 147 ITALY: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 148 ITALY: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 149 ITALY: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 150 ITALY: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 151 SPAIN: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 152 SPAIN: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 153 SPAIN: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 154 SPAIN: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 155 SPAIN: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 156 SPAIN: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 157 REST OF EUROPE: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 158 REST OF EUROPE: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 159 REST OF EUROPE: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 160 REST OF EUROPE: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 161 REST OF EUROPE: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 162 REST OF EUROPE: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 163 ASIA PACIFIC: AI INFERENCE MARKET, BY COUNTRY, 2021−2024 (USD MILLION)
  • TABLE 164 ASIA PACIFIC: AI INFERENCE MARKET, BY COUNTRY, 2025−2030 (USD MILLION)
  • TABLE 165 ASIA PACIFIC: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 166 ASIA PACIFIC: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 167 ASIA PACIFIC: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 168 ASIA PACIFIC: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 169 ASIA PACIFIC: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 170 ASIA PACIFIC: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 171 ASIA PACIFIC: AI INFERENCE MARKET, BY APPLICATION, 2021−2024 (USD MILLION)
  • TABLE 172 ASIA PACIFIC: AI INFERENCE MARKET, BY APPLICATION, 2025−2030 (USD MILLION)
  • TABLE 173 ASIA PACIFIC: AI INFERENCE MARKET FOR GENERATIVE AI, BY TYPE, 2021−2024 (USD MILLION)
  • TABLE 174 ASIA PACIFIC: AI INFERENCE MARKET FOR GENERATIVE AI, BY TYPE, 2025−2030 (USD MILLION)
  • TABLE 175 ASIA PACIFIC: AI INFERENCE MARKET, BY END USER, 2021−2024 (USD MILLION)
  • TABLE 176 ASIA PACIFIC: AI INFERENCE MARKET, BY END USER, 2025−2030 (USD MILLION)
  • TABLE 177 ASIA PACIFIC: AI INFERENCE MARKET, BY ENTERPRISES, 2021−2024 (USD MILLION)
  • TABLE 178 ASIA PACIFIC: AI INFERENCE MARKET, BY ENTERPRISES, 2025−2030 (USD MILLION)
  • TABLE 179 CHINA: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 180 CHINA: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 181 CHINA: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 182 CHINA: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 183 CHINA: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 184 CHINA: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 185 JAPAN: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 186 JAPAN: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 187 JAPAN: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 188 JAPAN: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 189 JAPAN: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 190 JAPAN: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 191 INDIA: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 192 INDIA: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 193 INDIA: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 194 INDIA: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 195 INDIA: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 196 INDIA: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 197 SOUTH KOREA: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 198 SOUTH KOREA: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 199 SOUTH KOREA: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 200 SOUTH KOREA: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 201 SOUTH KOREA: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 202 SOUTH KOREA: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 203 REST OF ASIA PACIFIC: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 204 REST OF ASIA PACIFIC: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 205 REST OF ASIA PACIFIC: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 206 REST OF ASIA PACIFIC: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 207 REST OF ASIA PACIFIC: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 208 REST OF ASIA PACIFIC: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 209 ROW: AI INFERENCE MARKET, BY COUNTRY, 2021−2024 (USD MILLION)
  • TABLE 210 ROW: AI INFERENCE MARKET, BY COUNTRY, 2025−2030 (USD MILLION)
  • TABLE 211 ROW: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 212 ROW: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 213 ROW: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 214 ROW: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 215 ROW: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 216 ROW: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 217 ROW: AI INFERENCE MARKET, BY APPLICATION, 2021−2024 (USD MILLION)
  • TABLE 218 ROW: AI INFERENCE MARKET, BY APPLICATION, 2025−2030 (USD MILLION)
  • TABLE 219 ROW: AI INFERENCE MARKET FOR GENERATIVE AI, BY TYPE, 2021−2024 (USD MILLION)
  • TABLE 220 ROW: AI INFERENCE MARKET FOR GENERATIVE AI, BY TYPE, 2025−2030 (USD MILLION)
  • TABLE 221 ROW: AI INFERENCE MARKET, BY END USER, 2021−2024 (USD MILLION)
  • TABLE 222 ROW: AI INFERENCE MARKET, BY END USER, 2025−2030 (USD MILLION)
  • TABLE 223 ROW: AI INFERENCE MARKET, BY ENTERPRISES, 2021−2024 (USD MILLION)
  • TABLE 224 ROW: AI INFERENCE MARKET, BY ENTERPRISES, 2025−2030 (USD MILLION)
  • TABLE 225 MIDDLE EAST: AI INFERENCE MARKET, BY COUNTRY, 2021−2024 (USD MILLION)
  • TABLE 226 MIDDLE EAST: AI INFERENCE MARKET, BY COUNTRY, 2025−2030 (USD MILLION)
  • TABLE 227 MIDDLE EAST: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 228 MIDDLE EAST: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 229 MIDDLE EAST: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 230 MIDDLE EAST: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 231 MIDDLE EAST: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 232 MIDDLE EAST: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 233 AFRICA: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 234 AFRICA: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 235 AFRICA: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 236 AFRICA: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 237 AFRICA: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 238 AFRICA: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 239 SOUTH AMERICA: AI INFERENCE MARKET, BY COMPUTE, 2021−2024 (USD MILLION)
  • TABLE 240 SOUTH AMERICA: AI INFERENCE MARKET, BY COMPUTE, 2025−2030 (USD MILLION)
  • TABLE 241 SOUTH AMERICA: AI INFERENCE MARKET, BY MEMORY, 2021−2024 (USD MILLION)
  • TABLE 242 SOUTH AMERICA: AI INFERENCE MARKET, BY MEMORY, 2025−2030 (USD MILLION)
  • TABLE 243 SOUTH AMERICA: AI INFERENCE MARKET, BY NETWORK, 2021−2024 (USD MILLION)
  • TABLE 244 SOUTH AMERICA: AI INFERENCE MARKET, BY NETWORK, 2025−2030 (USD MILLION)
  • TABLE 245 AI INFERENCE MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS, 2020–2024
  • TABLE 246 COMPUTE MARKET: DEGREE OF COMPETITION
  • TABLE 247 MEMORY (HBM) MARKET: DEGREE OF COMPETITION
  • TABLE 248 AI INFERENCE MARKET: COMPUTE FOOTPRINT
  • TABLE 249 AI INFERENCE MARKET: MEMORY FOOTPRINT
  • TABLE 250 AI INFERENCE MARKET: NETWORK FOOTPRINT
  • TABLE 251 AI INFERENCE MARKET: DEPLOYMENT FOOTPRINT
  • TABLE 252 AI INFERENCE MARKET: APPLICATION FOOTPRINT
  • TABLE 253 AI INFERENCE MARKET: END USER FOOTPRINT
  • TABLE 254 AI INFERENCE MARKET: REGION FOOTPRINT
  • TABLE 255 AI INFERENCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES, 2024
  • TABLE 256 AI INFERENCE MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, 2024
  • TABLE 257 AI INFERENCE MARKET: PRODUCT LAUNCHES, JANUARY 2020–OCTOBER 2024
  • TABLE 258 AI INFERENCE MARKET: DEALS, JANUARY 2020–OCTOBER 2024
  • TABLE 259 NVIDIA CORPORATION: COMPANY OVERVIEW
  • TABLE 260 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 261 NVIDIA CORPORATION: PRODUCT LAUNCHES
  • TABLE 262 NVIDIA CORPORATION: DEALS
  • TABLE 263 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
  • TABLE 264 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 265 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES
  • TABLE 266 ADVANCED MICRO DEVICES, INC.: DEALS
  • TABLE 267 INTEL CORPORATION: COMPANY OVERVIEW
  • TABLE 268 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 269 INTEL CORPORATION: PRODUCT LAUNCHES
  • TABLE 270 INTEL CORPORATION: DEALS
  • TABLE 271 SK HYNIX INC.: COMPANY OVERVIEW
  • TABLE 272 SK HYNIX INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 273 SK HYNIX INC.: PRODUCT LAUNCHES
  • TABLE 274 SK HYNIX INC.: DEALS
  • TABLE 275 SAMSUNG: COMPANY OVERVIEW
  • TABLE 276 SAMSUNG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 277 SAMSUNG: PRODUCT LAUNCHES
  • TABLE 278 SAMSUNG: DEALS
  • TABLE 279 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
  • TABLE 280 MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 281 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
  • TABLE 282 MICRON TECHNOLOGY, INC.: DEALS
  • TABLE 283 APPLE INC.: COMPANY OVERVIEW
  • TABLE 284 APPLE INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 285 APPLE INC.: PRODUCT LAUNCHES
  • TABLE 286 APPLE INC.: DEALS
  • TABLE 287 QUALCOMM TECHNOLOGIES, INC.: COMPANY OVERVIEW
  • TABLE 288 QUALCOMM TECHNOLOGIES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 289 QUALCOMM TECHNOLOGIES, INC.: PRODUCT LAUNCHES
  • TABLE 290 QUALCOMM TECHNOLOGIES, INC.: DEALS
  • TABLE 291 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY OVERVIEW
  • TABLE 292 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 293 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCT LAUNCHES
  • TABLE 294 HUAWEI TECHNOLOGIES CO., LTD.: DEALS
  • TABLE 295 GOOGLE: COMPANY OVERVIEW
  • TABLE 296 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 297 GOOGLE: PRODUCT LAUNCHES
  • TABLE 298 GOOGLE: DEALS
  • TABLE 299 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW
  • TABLE 300 AMAZON WEB SERVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 301 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES
  • TABLE 302 AMAZON WEB SERVICES, INC.: DEALS
  • TABLE 303 TESLA: COMPANY OVERVIEW
  • TABLE 304 TESLA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 305 MICROSOFT: COMPANY OVERVIEW
  • TABLE 306 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 307 MICROSOFT: PRODUCT LAUNCHES
  • TABLE 308 MICROSOFT: DEALS
  • TABLE 309 META: COMPANY OVERVIEW
  • TABLE 310 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 311 META: PRODUCT LAUNCHES
  • TABLE 312 META: DEALS
  • TABLE 313 T-HEAD: COMPANY OVERVIEW
  • TABLE 314 T-HEAD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 315 GRAPHCORE: COMPANY OVERVIEW
  • TABLE 316 GRAPHCORE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 317 GRAPHCORE: PRODUCT LAUNCHES
  • TABLE 318 GRAPHCORE: DEALS
  • TABLE 319 CEREBRAS: COMPANY OVERVIEW
  • TABLE 320 CEREBRAS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 321 CEREBRAS: PRODUCT LAUNCHES
  • TABLE 322 CEREBRAS: DEALS
LIST OF FIGURES
 
  • FIGURE 1 AI INFERENCE MARKET: SEGMENTATION AND REGIONAL SCOPE
  • FIGURE 2 AI INFERENCE MARKET: RESEARCH DESIGN
  • FIGURE 3 AI INFERENCE MARKET: RESEARCH FLOW
  • FIGURE 4 REVENUE GENERATED FROM SALES OF AI INFERENCE OFFERINGS IN 2024
  • FIGURE 5 AI INFERENCE MARKET: REVENUE ANALYSIS OF NVIDIA CORPORATION
  • FIGURE 6 AI INFERENCE MARKET: BOTTOM-UP APPROACH
  • FIGURE 7 AI INFERENCE MARKET: TOP-DOWN APPROACH
  • FIGURE 8 AI INFERENCE MARKET: DATA TRIANGULATION
  • FIGURE 9 GPU SEGMENT TO DOMINATE AI INFERENCE MARKET DURING FORECAST PERIOD
  • FIGURE 10 DDR SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 11 NIC/NETWORK ADAPTERS SEGMENT TO LEAD MARKET IN 2030
  • FIGURE 12 CLOUD SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 13 MACHINE LEARNING SEGMENT ACCOUNTS FOR LARGEST MARKET SHARE IN 2025
  • FIGURE 14 CLOUD SERVICE PROVIDERS SEGMENT DOMINATES AI INFERENCE MARKET IN 2025
  • FIGURE 15 NORTH AMERICA ACCOUNTED FOR LARGEST SHARE OF GLOBAL AI INFERENCE MARKET IN 2024
  • FIGURE 16 RISING DEMAND FOR AI INFERENCE CHIPS AMONG CLOUD SERVICE PROVIDERS TO DRIVE MARKET
  • FIGURE 17 GPU SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
  • FIGURE 18 HBM SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 19 NIC/NETWORK ADAPTERS TO REGISTER HIGHER CAGR FORECAST PERIOD
  • FIGURE 20 ON-PREMISES SEGMENT TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD
  • FIGURE 21 GENERATIVE AI SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 22 CLOUD SERVICE PROVIDERS SEGMENT TO BE LARGEST END USER OF AI INFERENCE IN 2030
  • FIGURE 23 ASIA PACIFIC TO BE FASTEST-GROWING MARKET DURING FORECAST PERIOD
  • FIGURE 24 CHINA TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 25 AI INFERENCE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 26 IMPACT ANALYSIS: DRIVERS
  • FIGURE 27 NVIDIA’S DATA CENTER GPU POWER CONSUMPTION IN TDP (THERMAL DESIGN POWER)
  • FIGURE 28 INTEL’S DATA CENTER GPU POWER CONSUMPTION IN TDP (THERMAL DESIGN POWER)
  • FIGURE 29 IMPACT ANALYSIS: RESTRAINTS
  • FIGURE 30 APPLICATIONS OF AI IN HEALTHCARE SERVICES
  • FIGURE 31 IMPACT ANALYSIS: OPPORTUNITIES
  • FIGURE 32 IMPACT ANALYSIS: CHALLENGES
  • FIGURE 33 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 34 INDICATIVE PRICING OF COMPUTE OFFERED BY KEY PLAYERS, 2024
  • FIGURE 35 AVERAGE SELLING PRICE TREND OF GPU, BY REGION, 2021–2024
  • FIGURE 36 AVERAGE SELLING PRICE TREND OF CPU, BY REGION, 2021–2024
  • FIGURE 37 AVERAGE SELLING PRICE TREND OF FPGA, BY REGION, 2021–2024
  • FIGURE 38 AI INFERENCE MARKET: VALUE CHAIN ANALYSIS
  • FIGURE 39 AI INFERENCE MARKET: ECOSYSTEM ANALYSIS
  • FIGURE 40 INVESTMENT AND FUNDING IN AI INDUSTRY, 2023–2024 (USD MILLION)
  • FIGURE 41 NVIDIA AI CHIPS WITH HIGH-BANDWIDTH MEMORY
  • FIGURE 42 PATENTS APPLIED AND GRANTED, 2014–2024
  • FIGURE 43 IMPORT DATA FOR HS CODE 854231-COMPLIANT PRODUCTS FOR TOP FIVE COUNTRIES, 2019–2023
  • FIGURE 44 EXPORT DATA FOR HS CODE 854231-COMPLIANT PRODUCTS FOR TOP FIVE COUNTRIES, 2019–2023
  • FIGURE 45 PORTER’S FIVE FORCES ANALYSIS: AI INFERENCE MARKET
  • FIGURE 46 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • FIGURE 47 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • FIGURE 48 CPU SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 49 HBM SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 50 NIC/NETWORK ADAPTERS TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 51 OM-PREMISES DEPLOYMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 52 GENERATIVE AI TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 53 ENTERPRISES SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 54 ASIA PACIFIC TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 55 NORTH AMERICA: AI INFERENCE MARKET SNAPSHOT
  • FIGURE 56 US TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 57 EUROPE: AI INFERENCE MARKET SNAPSHOT
  • FIGURE 58 GERMANY TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 59 ASIA PACIFIC: AI INFERENCE MARKET SNAPSHOT
  • FIGURE 60 CHINA TO RECORD HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 61 ROW: AI INFERENCE MARKET SNAPSHOT
  • FIGURE 62 MIDDLE EAST TO BE FASTEST-GROWING AI INFERENCE MARKET IN ROW DURING FORECAST PERIOD
  • FIGURE 63 AI INFERENCE MARKET: REVENUE ANALYSIS OF TOP THREE PLAYERS, 2020–2024
  • FIGURE 64 COMPUTE MARKET SHARE, 2024
  • FIGURE 65 MEMORY (HBM) MARKET SHARE, 2024
  • FIGURE 66 AI INFERENCE MARKET: COMPANY VALUATION, 2025
  • FIGURE 67 AI INFERENCE MARKET: FINANCIAL METRICS (EV/EBITDA), 2025
  • FIGURE 68 AI INFERENCE MARKET: BRAND/PRODUCT COMPARISON
  • FIGURE 69 AI INFERENCE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024
  • FIGURE 70 AI INFERENCE MARKET: COMPANY FOOTPRINT
  • FIGURE 71 AI INFERENCE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024
  • FIGURE 72 NVIDIA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 73 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
  • FIGURE 74 INTEL CORPORATION: COMPANY SNAPSHOT
  • FIGURE 75 SK HYNIX INC.: COMPANY SNAPSHOT
  • FIGURE 76 SAMSUNG: COMPANY SNAPSHOT
  • FIGURE 77 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
  • FIGURE 78 APPLE INC.: COMPANY SNAPSHOT
  • FIGURE 79 QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT
  • FIGURE 80 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY SNAPSHOT
  • FIGURE 81 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 82 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
  • FIGURE 83 TESLA: COMPANY SNAPSHOT
  • FIGURE 84 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 85 META: COMPANY SNAPSHOT

The research process for this technical, market-oriented, and commercial study of the AI inference market included the systematic gathering, recording, and analysis of data about companies operating in the market. It involved the extensive use of secondary sources, directories, and databases (Factiva, Oanda, and OneSource) to identify and collect relevant information. In-depth interviews were conducted with various primary respondents, including experts from core and related industries and preferred manufacturers, to obtain and verify critical qualitative and quantitative information as well as to assess the growth prospects of the market. Key players in the AI inference market were identified through secondary research, and their market rankings were determined through primary and secondary research. This included studying annual reports of top players and interviewing key industry experts, such as CEOs, directors, and marketing executives.

Secondary Research

In the secondary research process, various secondary sources were used to identify and collect information for this study. These include annual reports, press releases, and investor presentations of companies, whitepapers, certified publications, and articles from recognized associations and government publishing sources. Research reports from a few consortiums and councils were also consulted to structure qualitative content. Secondary sources included corporate filings (such as annual reports, investor presentations, and financial statements); trade, business, and professional associations; white papers; Journals and certified publications; articles by recognized authors; gold-standard and silver-standard websites; directories; and databases. Data was also collected from secondary sources, such as the International Trade Centre (ITC), and the International Monetary Fund (IMF).

List of key secondary sources

Source

Web Link

European Association for Artificial Intelligence

https://eurai.org/

Association for Machine Learning and Application (AMLA)

https://www.icmla-conference.org/

Association for the Advancement of Artificial Intelligence

https://aaai.org/

Generative AI Association (GENAIA)

https://www.generativeaiassociation.org/

International Monetary Fund

https://www.umaconferences.com/

Institute of Electrical and Electronics Engineers (IEEE)

https://ieeexplore.ieee.org/

Primary Research

Extensive primary research was accomplished after understanding and analyzing the AI inference market scenario through secondary research. Several primary interviews were conducted with key opinion leaders from both demand- and supply-side vendors across four major regions—North America, Europe, Asia Pacific, and RoW. Approximately 30% of the primary interviews were conducted with the demand side, and 70% with the supply side. Primary data was collected through questionnaires, emails, and telephonic interviews. Various departments within organizations, such as sales, operations, and administration, were contacted to provide a holistic viewpoint in the report.

AI Inference Market Size, and Share

Note: Other designations include technology heads, media analysts, sales managers, marketing managers, and product managers.

The three tiers of the companies are based on their total revenues as of 2023 ? Tier 1: >USD 1 billion, Tier 2: USD 500 million–1 billion, and Tier 3: USD 500 million.

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

Market Size Estimation

In the complete market engineering process, top-down and bottom-up approaches and several data triangulation methods have been used to perform the market size estimation and forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analyses have been performed on the complete market engineering process to list the key information/insights throughout the report. The following table explains the process flow of the market size estimation.

The key players in the market were identified through secondary research, and their rankings in the respective regions determined through primary and secondary research. This entire procedure involved the study of the annual and financial reports of top players, and interviews with industry experts such as chief executive officers, vice presidents, directors, and marketing executives for quantitative and qualitative key insights. All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All parameters that affect the markets covered in this research study were accounted for, viewed in extensive detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data was consolidated, supplemented with detailed inputs and analysis from MarketsandMarkets, and presented in this report.

AI Inference Market: Bottom-Up Approach

  • Initially, the companies offering AI Inference were identified. Their products were mapped based on compute, memory, network, deployment, application and end user.
  • After understanding the different types of AI Inference offereing by various manufacturers, the market was categorized into segments based on the data gathered through primary and secondary sources.
  • To derive the global AI Inference market, global server shipments of top players for AI servers considered in the report's scope were tracked.
  • A suitable penetration rate was assigned for compute, memory, network offerings to derive the shipments of AI Inference.
  • We derived the AI Inference market based on different offerings using the average selling price (ASP) at which a particular company offers its devices. The ASP of each offering was identified based on secondary sources and validated from primaries.
  • For the CAGR, the market trend analysis was carried out by understanding the industry penetration rate and the demand and supply of AI Inference offerings for different end users.
  • The AI Inference market is also tracked through the data sanity method. The revenues of key providers were analyzed through annual reports and press releases and summed to derive the overall market.
  • For each company, a percentage is assigned to its overall revenue or, in a few cases, segmental revenue to derive its revenue for the AI Inference. This percentage for each company is assigned based on its product portfolio and range of AI Inference offerings.
  • The estimates at every level, by discussing them with key opinion leaders, including CXOs, directors, and operation managers, have been verified and cross-checked, and finally, with the domain experts at MarketsandMarkets.
  • Various paid and unpaid sources of information, such as annual reports, press releases, white papers, and databases, have been studied.

AI Inference Market: Top-Down Approach

  • The global market size of AI Inference was estimated through the data sanity of major companies.
  • The growth of the AI Inference market witnessed an upward trend during the studied period, as it is currently in the initial stage of the product cycle, with major players beginning to expand their business into various application areas of the market.
  • Types of AI Inference offerings, their features and properties, geographical presence, and key applications served by all players in the AI Inference market were studied to estimate and arrive at the percentage split of the segments.
  • Different types of AI Inference offerings, such as compute, memory, and network and their penetration for end users were also studied.
  • Based on secondary research, the market split for AI Inference by compute, memory, network,  deployment, application and end user was estimated.
  • The demand generated by companies operating in different end users segments was analyzed.
  • Multiple discussions with key opinion leaders across major companies involved in developing the AI Inference offerings and related components were conducted to validate the market split of compute, memory, network, deployment, application and end user.
  • The regional splits were estimated using secondary sources based on factors such as the number of players in a specific country and region and the adoption and use cases of each implementation type with respect to applications in the region.

AI Inference Market : Top-Down and Bottom-Up Approach

AI Inference Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall size of the AI inference market through the process explained above, the overall market has been split into several segments. Data triangulation procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all the segments, wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply sides. The market has also been validated using both top-down and bottom-up approaches.

Market Definition

AI inference is the process of using a trained artificial intelligence (AI) model to make predictions, classify data, or extract insights from new, unseen input data. It involves applying a model to tasks like image recognition, language processing, or real-time analytics. Optimized for efficiency and speed, AI inference often runs on specialized hardware, enabling applications from autonomous systems to personalized recommendations. It encompasses a combination of high-performance computing resources (e.g., GPUs, CPUs, FPGAs, etc.), memory solutions (e.g., DDR, HBM), networking components (e.g., network adapters, interconnects) optimized for handling AI workloads. It is utilized in generative AI, machine learning, natural language processing (NLP), and computer vision applications.

Key Stakeholders

  • Government and financial institutions and investment communities
  • Analysts and strategic business planners
  • Semiconductor product designers and fabricators
  • Application providers
  • AI solution providers
  • AI platform providers
  • AI system providers
  • Manufacturers and AI technology users
  • Business providers
  • Component and device suppliers and distributors
  • Professional service/solution providers
  • Research organizations
  • Technology standard organizations, forums, alliances, and associations
  • Technology investors
  • Investors (private equity firms, venture capitalists, and others)

Report Objectives

  • To define, describe, segment, and forecast the size of the AI inference market, in terms of value, based on compute, memory, network, deployment, application, end user, and region
  • To forecast the size of the market segments for four major regions—North America, Europe, Asia Pacific, and RoW
  • To define, describe, segment, and forecast the size of the AI inference market, in terms of volume, based on compute.
  • To give detailed information regarding drivers, restraints, opportunities, and challenges influencing the growth of the market
  • To provide an value chain analysis, ecosystem analysis, case study analysis, patent analysis, Trade analysis, technology analysis, pricing analysis, key conferences and events, key stakeholders and buying criteria, Porter's five forces analysis, investment and funding scenario, and regulations pertaining to the market
  • To provide a detailed overview of the value chain analysis of the AI inference ecosystem
  • To strategically analyze micromarkets1 with regard to individual growth trends, prospects, and contributions to the total market
  • To analyze opportunities for stakeholders by identifying high-growth segments of the market
  • To strategically profile the key players, comprehensively analyze their market positions in terms of ranking and core competencies2, and provide a competitive market landscape.
  • To analyze strategic approaches such as product launches, acquisitions, agreements, and partnerships in the AI inference market

Available Customizations

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

Country-wise Information:

  • Detailed analysis and profiling of additional market players (up to 7)

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