Global Artificial Intelligence Chipset Market Size Study, by Chipset (CPU, GPU, FPGA, ASIC, Others), Workload Domain, Computing Technology, and Regional Forecasts 2022-2032

Description

The Global Artificial Intelligence Chipset Market, valued at approximately USD 56.82 billion in 2023, is set to witness unprecedented growth, with an estimated compound annual growth rate (CAGR) of 28.9% during the forecast period from 2024 to 2032. AI chipsets are at the forefront of technological evolution, underpinning critical advancements in automation, data processing, and intelligent systems. These chipsets facilitate machine learning, neural network processing, and high-speed data analytics, enabling devices and systems to emulate human cognitive functions. As industries continue to adopt AI-driven solutions, the demand for high-performance AI chipsets is surging across various sectors, including healthcare, automotive, and IT.

The meteoric rise of AI chipset adoption is largely attributed to the increasing prevalence of AI-enabled applications across diverse industries. With businesses striving to harness the power of big data, advanced AI chipsets have become indispensable for achieving faster processing speeds and enhanced computational efficiency. The integration of graphics processing units (GPUs) and field-programmable gate arrays (FPGAs) into AI infrastructure has enabled unparalleled scalability and flexibility. Furthermore, innovations in application-specific integrated circuits (ASICs) are accelerating the development of tailored solutions to meet specific AI workload demands, driving market growth.

Despite its promising trajectory, the AI chipset market faces notable challenges. The high costs associated with R&D and initial implementation often hinder widespread adoption among smaller enterprises. Additionally, the increasing complexity of AI workloads necessitates continuous innovation, which requires substantial investments. Concerns around data security and ethical considerations further underscore the need for robust regulations. However, ongoing advancements in cloud computing and edge AI, coupled with growing investments in AI infrastructure, are expected to mitigate these challenges, paving the way for sustained market expansion.

The AI chipset market demonstrates distinct regional trends. In 2023, North America emerged as the dominant player, driven by a well-established tech ecosystem and significant investments in AI research and development. The region's leadership in innovation, coupled with the presence of major industry players, provides a competitive edge. Meanwhile, the Asia-Pacific region is poised to record the fastest growth, underpinned by rising digitalization, government initiatives to promote AI adoption, and the expansion of smart city projects. Europe also holds a substantial market share, with advancements in AI-driven automotive technologies and healthcare solutions.

Major market players included in this report are:

NVIDIA Corporation
Intel Corporation
Advanced Micro Devices, Inc. (AMD)
Qualcomm Incorporated
Alphabet Inc. (Google)
IBM Corporation
Broadcom Inc.
Samsung Electronics Co., Ltd.
Graphcore
MediaTek Inc.
Xilinx, Inc.
Huawei Technologies Co., Ltd.
Micron Technology, Inc.
Amazon Web Services (AWS)
Baidu, Inc.

The detailed segments and sub-segments of the market are explained below:

By Chipset:

CPU
GPU
FPGA
ASIC
Others

By Workload Domain:

Training
Inference

By Computing Technology:

Cloud AI
Edge AI

By Region:

North America:

U.S.
Canada

Europe:

UK
Germany
France
Spain
Italy
Rest of Europe

Asia-Pacific:

China
India
Japan
Australia
South Korea
Rest of Asia-Pacific

Latin America:

Brazil
Mexico

Middle East & Africa:

Saudi Arabia
South Africa
Rest of Middle East & Africa

Key Takeaways:

Comprehensive market forecasts and trends from 2022 to 2032.
Detailed regional analysis with country-specific insights.
Assessment of competitive dynamics and profiles of major players.
Evaluation of growth drivers, challenges, and emerging opportunities.
Actionable recommendations for stakeholders to leverage market potential effectively.

Chapter 1. Global Artificial Intelligence Chipset Market Executive Summary

1.1. Global Artificial Intelligence Chipset Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
- 1.3.1. By Chipset
- 1.3.2. By Workload Domain
- 1.3.3. By Computing Technology
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Artificial Intelligence Chipset 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 Artificial Intelligence Chipset Market Dynamics

3.1. Market Drivers
- 3.1.1. Increasing Demand for AI-Enabled Applications
- 3.1.2. Rapid Advancements in Semiconductor Technologies
- 3.1.3. Escalating Adoption of Cloud and Edge AI Solutions
3.2. Market Challenges
- 3.2.1. High R&D and Implementation Costs
- 3.2.2. Complex and Evolving AI Workload Requirements
3.3. Market Opportunities
- 3.3.1. Expansion in Emerging Markets
- 3.3.2. Increasing Investments in AI Infrastructure
- 3.3.3. Innovations in Custom ASICs and Accelerators

Chapter 4. Global Artificial Intelligence Chipset Market Industry Analysis

4.1. Porter's 5 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. Futuristic Approach to Porter's 5 Force Model
- 4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
4.3. Top Investment Opportunity
4.4. Top Winning Strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Artificial Intelligence Chipset Market Size & Forecasts by Chipset 2022-2032

5.1. Segment Dashboard
5.2. Global Artificial Intelligence Chipset Market: Chipset Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
- 5.2.1. CPU
- 5.2.2. GPU
- 5.2.3. FPGA
- 5.2.4. ASIC
- 5.2.5. Others

Chapter 6. Global Artificial Intelligence Chipset Market Size & Forecasts by Workload Domain 2022-2032

6.1. Segment Dashboard
6.2. Global Artificial Intelligence Chipset Market: Workload Domain Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
- 6.2.1. Training
- 6.2.2. Inference

Chapter 7. Global Artificial Intelligence Chipset Market Size & Forecasts by Computing Technology 2022-2032

7.1. Segment Dashboard
7.2. Global Artificial Intelligence Chipset Market: Computing Technology Revenue Trend Analysis, 2022 & 2032 (USD Million/Billion)
- 7.2.1. Cloud AI
- 7.2.2. Edge AI

Chapter 8. Global Artificial Intelligence Chipset Market Size & Forecasts by Region 2022-2032

8.1. North America AI Chipset Market
- 8.1.1. U.S. AI Chipset Market
  - 8.1.1.1. Chipset Breakdown Size & Forecasts, 2022-2032
  - 8.1.1.2. Workload Domain Breakdown Size & Forecasts, 2022-2032
- 8.1.2. Canada AI Chipset Market
8.2. Europe AI Chipset Market
- 8.2.1. U.K. AI Chipset Market
- 8.2.2. Germany AI Chipset Market
- 8.2.3. France AI Chipset Market
- 8.2.4. Spain AI Chipset Market
- 8.2.5. Italy AI Chipset Market
- 8.2.6. Rest of Europe AI Chipset Market
8.3. Asia-Pacific AI Chipset Market
- 8.3.1. China AI Chipset Market
- 8.3.2. India AI Chipset Market
- 8.3.3. Japan AI Chipset Market
- 8.3.4. Australia AI Chipset Market
- 8.3.5. South Korea AI Chipset Market
- 8.3.6. Rest of Asia-Pacific AI Chipset Market
8.4. Latin America AI Chipset Market
- 8.4.1. Brazil AI Chipset Market
- 8.4.2. Mexico AI Chipset Market
8.5. Middle East & Africa AI Chipset Market
- 8.5.1. Saudi Arabia AI Chipset Market
- 8.5.2. South Africa AI Chipset Market
- 8.5.3. Rest of Middle East & Africa AI Chipset Market

Chapter 9. Competitive Intelligence

9.1. Key Company SWOT Analysis
- 9.1.1. NVIDIA Corporation
- 9.1.2. Intel Corporation
- 9.1.3. Advanced Micro Devices, Inc. (AMD)
9.2. Top Market Strategies
9.3. Company Profiles
- 9.3.1. NVIDIA Corporation
  - 9.3.1.1. Key Information
  - 9.3.1.2. Overview
  - 9.3.1.3. Financial (Subject to Data Availability)
  - 9.3.1.4. Product Summary
  - 9.3.1.5. Market Strategies
- 9.3.2. Intel Corporation
- 9.3.3. Advanced Micro Devices, Inc. (AMD)
- 9.3.4. Qualcomm Incorporated
- 9.3.5. Alphabet Inc. (Google)
- 9.3.6. IBM Corporation
- 9.3.7. Broadcom Inc.
- 9.3.8. Samsung Electronics Co., Ltd.
- 9.3.9. Graphcore
- 9.3.10. MediaTek Inc.
- 9.3.11. Xilinx, Inc.
- 9.3.12. Huawei Technologies Co., Ltd.
- 9.3.13. Micron Technology, Inc.
- 9.3.14. Amazon Web Services (AWS)
- 9.3.15. Baidu, Inc.

Chapter 10. Research Process

10.1. Research Process
- 10.1.1. Data Mining
- 10.1.2. Analysis
- 10.1.3. Market Estimation
- 10.1.4. Validation
- 10.1.5. Publishing
10.2. Research Attributes