Report cover image

Global AI Inference Market Size Study, By Compute (GPU, CPU, FPGA), By Memory (DDR, HBM), By Network (NIC/Network Adapters, Interconnect), By Deployment (On-premises, Cloud, Edge), By Application (Generative AI, Machine Learning, NLP, Computer Vision), an

Publisher Factview Research
Published Oct 03, 2025
Length 285 Pages
SKU # FAVR20464063

Description

The global AI inference market was valued at USD 89.05 billion by 2024 , growing at a compound annual growth rate CAGR of 20.2% from 2024 to 2034. The increasing adoption of AI inference solutions across industries is driven by advancements in specialized AI inference chips and hardware that improve real-time processing, efficiency, and scalability.

With industries increasingly deploying AI models for applications such as autonomous driving, healthcare diagnostics, smart assistants, and data center optimizations, the demand for high-performance AI inference processors has surged. These chips enable faster, more energy-efficient AI inference processes, which is particularly critical in edge computing and cloud-based AI systems.

Major market players such as NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), SK HYNIX INC. (South Korea), and SAMSUNG (South Korea) are leading innovation in AI inference technology. Companies are expanding their global footprint through product launches, strategic alliances, acquisitions, and research collaborations to enhance their AI inference portfolios.

Advancements in AI Inference Hardware Driving Market Growth

The rapid evolution of AI inference chips has enabled businesses to optimize machine learning and AI model execution, particularly in real-time applications. Key developments include dedicated AI inference processors, tensor processing units (TPUs), field-programmable gate arrays (FPGAs), and application-specific integrated circuits (ASICs). These hardware solutions are designed to accelerate AI inference performance, enabling enterprises to deploy scalable and power-efficient AI systems.

For instance, in October 2024, Advanced Micro Devices, Inc. (US) launched the 5th Gen AMD EPYC processors, optimized for AI inference, cloud computing, and high-performance workloads. The EPYC 9005 series provides enhanced GPU acceleration and maximized per-server performance, making it ideal for data center AI workloads.

Similarly, in October 2024, Intel Corporation (US) and Inflection AI (US) announced a strategic collaboration to accelerate AI inference adoption in enterprises through the launch of Inflection for Enterprise. Powered by Intel Gaudi processors and Intel Tiber AI Cloud, this system provides customizable AI solutions for enterprise AI workloads.

Market Expansion Fueled by Edge AI and On-Premises AI Inference Solutions

As AI applications continue to evolve, the focus is shifting toward low-latency, high-speed AI inference processing at the edge. Edge AI inference solutions are critical in autonomous systems, IoT devices, real-time analytics, and smart surveillance. The growing adoption of edge AI inference hardware enables businesses to reduce reliance on cloud-based inference models, providing faster decision-making capabilities while maintaining data privacy and security.

Furthermore, on-premises AI inference solutions are gaining traction as enterprises seek cost-effective, high-performance AI models for mission-critical applications. Cloud-based inference solutions continue to dominate, driven by the scalability and processing power offered by hyperscale cloud providers such as Google, Amazon Web Services (AWS), and Microsoft Azure.

Major Market Players Included in This Report:
  • NVIDIA Corporation (US)
  • Advanced Micro Devices, Inc. (US)
  • Intel Corporation (US)
  • SK HYNIX INC. (South Korea)
  • SAMSUNG (South Korea)
  • Micron Technology, Inc. (US)
  • Apple Inc. (US)
  • Qualcomm Technologies, Inc. (US)
  • Huawei Technologies Co., Ltd. (China)
  • Google (US)
  • Amazon Web Services, Inc. (US)
  • Tesla (US)
  • Microsoft (US)
  • Meta (US)
  • T-Head (China)
  • Graphcore (UK)
  • Cerebras (US)
The Detailed Segments and Sub-Segments of the Market Are Explained Below:

By Compute:
  • GPU
  • CPU
  • FPGA
By Memory:
  • DDR
  • HBM
By Network:
  • NIC/Network Adapters
  • Interconnect
By Deployment:
  • On-Premises
  • Cloud
  • Edge
By Application:
  • Generative AI
  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
By Region:

North America
  • U.S.
  • Canada
  • Mexico
Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
Latin America
  • Brazil
  • Argentina
Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
Years Considered for the Study:
  • Historical Year – 2022
  • Base Year – 2024
  • Forecast Period – 2024 to 2034
Key Takeaways:
  • Market Estimates & Forecast for 10 years (2022-2034)
  • Annualized revenue and segment-wise breakdowns
  • Regional-level market insights
  • Competitive landscape analysis of major players
  • Emerging trends in AI inference hardware and software
  • Investment opportunities in AI inference processors and AI-optimized memory solutions

Table of Contents

285 Pages
Chapter 1. Global AI Inference Market Executive Summary
1.1. Global AI Inference Market Size & Forecast (2024-2034)
1.2. Regional Market Overview
1.3. Segmental Summary
1.3.1. By Compute
1.3.2. By Memory
1.3.3. By Network
1.3.4. By Deployment
1.3.5. By Application
1.4. Key Market Trends & Insights
1.5. Recession Impact Analysis
1.6 Industry Metrics
1.7 Investment Analysis
1.8 Investment Rationale
1.9. Analyst Recommendation & Conclusion
Chapter 2. Global AI Inference Market Definition and Research Assumptions
2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
2.3.1. Inclusion & Exclusion
2.3.2. Limitations
2.3.3. Supply Side Analysis
2.3.3.1. Availability
2.3.3.2. Infrastructure
2.3.3.3. Regulatory Environment
2.3.3.4. Market Competition
2.3.3.5. Economic Viability (Consumer’s Perspective)
2.3.4. Demand Side Analysis
2.3.4.1. Regulatory Frameworks
2.3.4.2. Technological Advancements
2.3.4.3. Environmental Considerations
2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates
Chapter 3. Global AI Inference Market Dynamics
3.1. Market Drivers
3.1.1. Growing demand for AI inference hardware and optimized computing
3.1.2. Increasing adoption of AI inference at the edge and in cloud environments
3.1.3. Advancements in AI-driven applications across industries
3.2. Market Challenges
3.2.1. High development costs and infrastructure limitations
3.2.2. Data privacy and security concerns in AI inference models
3.3. Market Opportunities
3.3.1. Innovations in AI inference accelerators and AI-specific processors
3.3.2. Rising demand for low-power AI inference chips
Chapter 4. Global AI Inference Market Industry Analysis
4.1. Porter’s Five Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Future Outlook and Emerging Trends
4.1.7. Porter’s Five Force Impact Analysis
4.2. PESTEL Analysis
4.2.1. Political
4.2.2. Economic
4.2.3. Social
4.2.4. Technological
4.2.5. Environmental
4.2.6. Legal
4.3. Top Investment Opportunities
4.4. Key Winning Strategies
4.5. Emerging Trends in AI Inference
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Global AI Inference Market Size & Forecasts by Compute 2022-2032
5.1. Segment Dashboard
5.2. Global AI Inference Market: Compute Revenue Trend Analysis, 2022 & 2032 (USD Billion)
5.2.1. GPU
5.2.2. CPU
5.2.3. FPGA
Chapter 6. Global AI Inference Market Size & Forecasts by Memory 2022-2032
6.1. Segment Dashboard
6.2. Global AI Inference Market: Memory Revenue Trend Analysis, 2022 & 2032 (USD Billion)
6.2.1. DDR
6.2.2. HBM
Chapter 7. Global AI Inference Market Size & Forecasts by Network 2022-2032
7.1. Segment Dashboard
7.2. Global AI Inference Market: Network Revenue Trend Analysis, 2022 & 2032 (USD Billion)
7.2.1. NIC/Network Adapters
7.2.2. Interconnect
Chapter 8. Global AI Inference Market Size & Forecasts by Deployment 2022-2032
8.1. Segment Dashboard
8.2. Global AI Inference Market: Deployment Revenue Trend Analysis, 2022 & 2032 (USD Billion)
8.2.1. On-Premises
8.2.2. Cloud
8.2.3. Edge
Chapter 9. Global AI Inference Market Size & Forecasts by Application 2022-2032
9.1. Segment Dashboard
9.2. Global AI Inference Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
9.2.1. Generative AI
9.2.2. Machine Learning
9.2.3. Natural Language Processing (NLP)
9.2.4. Computer Vision
Chapter 10. Global AI Inference Market Size & Forecasts by Region 2022-2032
10.1. North America AI Inference Market
10.1.1. U.S.
10.1.2. Canada
10.1.3. Mexico
10.2. Europe AI Inference Market
10.2.1. UK
10.2.2. Germany
10.2.3. France
10.2.4. Italy
10.2.5. Spain
10.3. Asia-Pacific AI Inference Market
10.3.1. China
10.3.2. Japan
10.3.3. India
10.3.4. South Korea
10.3.5. Australia
10.4. Latin America AI Inference Market
10.4.1. Brazil
10.4.2. Argentina
10.4.3. Rest of Latin America
10.5. Middle East & Africa AI Inference Market
10.5.1. Saudi Arabia
10.5.2. UAE
10.5.3. South Africa
10.5.4. Rest of Middle East & Africa
Chapter 11. Competitive Intelligence
11.1. Key Company SWOT Analysis
11.1.1. NVIDIA Corporation
11.1.2. Advanced Micro Devices, Inc.
11.1.3. Intel Corporation
11.2. Top Market Strategies
11.3. Company Profiles
11.3.1. NVIDIA Corporation
11.3.2. Advanced Micro Devices, Inc.
11.3.3. Intel Corporation
11.3.4. SK HYNIX INC.
11.3.5. SAMSUNG
11.3.6. Micron Technology, Inc.
11.3.7. Apple Inc.
11.3.8. Qualcomm Technologies, Inc.
11.3.9. Huawei Technologies Co., Ltd.
11.3.10. Google
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes

Pricing

Currency Rates
How Do Licenses Work?

How Do Licenses Work?

The primary function of a report license is to define how many people within a company are authorized to use the purchased report. This is separate to how a report might be delivered. Unless specifically identified otherwise, the purchase option is Single User. Below is a helpful description of that license, along with a sampling of others most commonly offered.

  • This license allows only one user to have access to and to use/read the report. It is not one user at a time or one user group; it is an individual who will be reading and utilizing the report.

  • This license allows for the entire purchasing company to read and use the report. This is the license level that would allow for a report to be placed on an internal company shared drive for access by all employees of that direct company. This license does not extend to parent or sister company use.

  • This license is designed to allow an entire department within a company full access to a report. The departmental license is a great option for companies that have more than one location and the department is spread out all over the country/world

  • This license is for companies that have one location where they want the report to be accessible by all employees within that physical location.

  • This is the most flexible of the licensing options. Some publishers will allow you to get a license for a preset number of people (typically 5). These licenses are ideal for small work groups.

License options are at the discretion of each publisher. As such, not all licenses indicated above are available for every product. If you are uncertain of the best license for your needs or would like a license that is not proactively available, please contact us and we will be happy to assist.

Request A Sample
Head shot

Questions or Comments?

Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
Chat Now
Contact Us