Artificial Intelligence (AI) Chipsets Market by Product Type, End-Users, and Geography (North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa): Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2025-2032
Description
Persistence Market Research has recently released a comprehensive report on the worldwide market for artificial intelligence (AI) chipsets. The report offers a thorough assessment of crucial market dynamics, including drivers, trends, opportunities, and challenges, providing detailed insights into the market structure. This research publication presents exclusive data and statistics outlining the anticipated growth trajectory of the global AI chipsets market from 2025 to 2032.
Key Insights:
AI chipsets are specialized hardware components designed to accelerate artificial intelligence workloads, including machine learning, deep learning, and neural network processing. These chipsets are optimized for high-performance computing tasks such as data training and inference, enabling faster processing and improved energy efficiency. The AI chipsets market caters to a wide range of industries, including consumer electronics, healthcare, automotive, IT & telecom, manufacturing, and BFSI. Chipset types include GPUs, CPUs, FPGAs, ASICs, and NPUs, each serving specific computational needs across cloud and edge environments. Market growth is driven by the increasing adoption of AI technologies, rising data generation, and demand for high-performance computing infrastructure.
Market Growth Drivers:
The global AI chipsets market is propelled by several key factors, including the rapid proliferation of AI applications across industries such as autonomous vehicles, smart devices, and advanced analytics. The growing need for real-time data processing and low-latency computing has accelerated the adoption of edge AI chipsets. Additionally, increasing investments in cloud infrastructure and hyperscale data centers are fueling demand for high-performance AI processors. Technological advancements in semiconductor design, including the development of energy-efficient and high-throughput chips, further support market expansion. Government initiatives promoting AI adoption and digital transformation also contribute to sustained growth.
Market Restraints:
Despite strong growth prospects, the AI chipsets market faces challenges related to high development and manufacturing costs, which can limit entry for new players. Supply chain disruptions and semiconductor shortages also impact production capabilities and pricing. Furthermore, the complexity of AI hardware design and integration poses technical challenges for manufacturers and end-users. Regulatory concerns related to data privacy, security, and export restrictions on advanced semiconductor technologies may also hinder market growth in certain regions.
Market Opportunities:
The AI chipsets market presents significant growth opportunities driven by innovations in chip architecture and expanding AI use cases. The increasing adoption of edge computing, Internet of Things (IoT), and 5G technologies creates new demand for compact and efficient AI processors. Emerging applications such as generative AI, robotics, and smart cities further broaden market scope. Strategic collaborations between semiconductor companies, cloud providers, and AI startups are expected to accelerate product development and deployment. Additionally, growing demand for customized AI chips tailored to specific workloads offers opportunities for differentiation and competitive advantage.
Key Questions Answered in the Report:
Leading players in the global AI chipsets market, including NVIDIA, Advanced Micro Devices, Inc., and Intel Corporation, focus on innovation, strategic partnerships, and vertical integration to strengthen their market position. These companies invest heavily in research and development to design advanced AI processors capable of handling complex workloads efficiently. Collaborations with cloud service providers, software developers, and enterprise customers help expand their ecosystem and accelerate adoption. Additionally, companies emphasize energy-efficient designs, scalability, and customization to cater to diverse industry requirements. Mergers, acquisitions, and investments in AI startups further enhance competitive capabilities and market reach.
Key Companies Profiled:
By Chipset Type:
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Key Insights:
- Artificial Intelligence (AI) Chipsets Market Size (2025E): US$ 60.5 Billion
- Projected Market Value (2032F): US$ 392.3 Billion
- Global Market Growth Rate (CAGR 2025 to 2032): 30.6%
AI chipsets are specialized hardware components designed to accelerate artificial intelligence workloads, including machine learning, deep learning, and neural network processing. These chipsets are optimized for high-performance computing tasks such as data training and inference, enabling faster processing and improved energy efficiency. The AI chipsets market caters to a wide range of industries, including consumer electronics, healthcare, automotive, IT & telecom, manufacturing, and BFSI. Chipset types include GPUs, CPUs, FPGAs, ASICs, and NPUs, each serving specific computational needs across cloud and edge environments. Market growth is driven by the increasing adoption of AI technologies, rising data generation, and demand for high-performance computing infrastructure.
Market Growth Drivers:
The global AI chipsets market is propelled by several key factors, including the rapid proliferation of AI applications across industries such as autonomous vehicles, smart devices, and advanced analytics. The growing need for real-time data processing and low-latency computing has accelerated the adoption of edge AI chipsets. Additionally, increasing investments in cloud infrastructure and hyperscale data centers are fueling demand for high-performance AI processors. Technological advancements in semiconductor design, including the development of energy-efficient and high-throughput chips, further support market expansion. Government initiatives promoting AI adoption and digital transformation also contribute to sustained growth.
Market Restraints:
Despite strong growth prospects, the AI chipsets market faces challenges related to high development and manufacturing costs, which can limit entry for new players. Supply chain disruptions and semiconductor shortages also impact production capabilities and pricing. Furthermore, the complexity of AI hardware design and integration poses technical challenges for manufacturers and end-users. Regulatory concerns related to data privacy, security, and export restrictions on advanced semiconductor technologies may also hinder market growth in certain regions.
Market Opportunities:
The AI chipsets market presents significant growth opportunities driven by innovations in chip architecture and expanding AI use cases. The increasing adoption of edge computing, Internet of Things (IoT), and 5G technologies creates new demand for compact and efficient AI processors. Emerging applications such as generative AI, robotics, and smart cities further broaden market scope. Strategic collaborations between semiconductor companies, cloud providers, and AI startups are expected to accelerate product development and deployment. Additionally, growing demand for customized AI chips tailored to specific workloads offers opportunities for differentiation and competitive advantage.
Key Questions Answered in the Report:
- What are the primary factors driving the growth of the AI chipsets market globally?
- Which chipset types and computing technologies are driving adoption across industries?
- How are technological advancements reshaping the competitive landscape of the AI chipsets market?
- Who are the key players contributing to the AI chipsets market, and what strategies are they employing to maintain market relevance?
- What are the emerging trends and future prospects in the global AI chipsets market?
Leading players in the global AI chipsets market, including NVIDIA, Advanced Micro Devices, Inc., and Intel Corporation, focus on innovation, strategic partnerships, and vertical integration to strengthen their market position. These companies invest heavily in research and development to design advanced AI processors capable of handling complex workloads efficiently. Collaborations with cloud service providers, software developers, and enterprise customers help expand their ecosystem and accelerate adoption. Additionally, companies emphasize energy-efficient designs, scalability, and customization to cater to diverse industry requirements. Mergers, acquisitions, and investments in AI startups further enhance competitive capabilities and market reach.
Key Companies Profiled:
- NVIDIA
- Advanced Micro Devices, Inc.
- Intel Corporation
- Qualcomm
- Amazon (AWS)
- SK HYNIX INC.
- Graphcore
- Cerebras Systems
- Huawei Technologies Co., Ltd.
- Microsoft Corporation
- Baidu, Inc.
- Mythic Inc.
By Chipset Type:
- Graphics Processing Units (GPUs)
- Central Processing Units (CPUs)
- Field-Programmable Gate Arrays (FPGAs)
- Application-Specific Integrated Circuits (ASICs)
- Neural Processing Units (NPUs)
- Others
- Cloud AI Computing
- Edge AI Computing
- Training
- Inference
- Consumer Electronics
- Healthcare
- IT & Telecom
- Automotive
- Manufacturing
- BFSI
- Retail and E-commerce
- Others
- North America
- Europe
- East Asia
- South Asia & Oceania
- Latin America
- Middle East & Africa
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Table of Contents
199 Pages
- 1. Executive Summary
- 1.1. Global Artificial Intelligence (AI) Chipsets Market Snapshot, 2025 and 2032
- 1.2. Market Opportunity Assessment, 2024 – 2032, US$ Bn
- 1.3. Key Market Trends
- 1.4. Future Market Projections
- 1.5. Premium Market Insights
- 1.6. Industry Developments and Key Market Events
- 1.7. PMR Analysis and Recommendations
- 2. Market Overview
- 2.1. Market Scope and Definition
- 2.2. Market Dynamics
- 2.2.1. Drivers
- 2.2.2. Restraints
- 2.2.3. Opportunity
- 2.2.4. Challenges
- 2.2.5. Key Trends
- 2.3. Macro-Economic Factors
- 2.3.1. Global GDP Growth Outlook
- 2.3.2. Inflation Rate
- 2.3.3. Geopolitical Tensions and Trade Restrictions
- 2.3.4. Government R&D Spending
- 2.3.5. 5G and Beyond (6G) Infrastructure Expansion Outlook
- 2.3.6. Energy Costs and Sustainability Pressures
- 2.4. COVID-19 Impact Analysis
- 2.5. Forecast Factors – Relevance and Impact
- 3. Value Added Insights
- 3.1. Regulatory Landscape
- 3.2. Value Chain Analysis
- 3.3. PESTLE Analysis
- 3.4. Porter’s Five Forces Analysis
- 4. Price Trend Analysis
- 4.1. Key Highlights
- 4.2. Key Factors Impacting Artificial Intelligence (AI) Chipset Prices
- 4.3. Average Pricing Analysis
- 5. Global Artificial Intelligence (AI) Chipsets Market Outlook: Historical (2019 – 2023) and Forecast (2024 – 2032)
- 5.1. Global Artificial Intelligence (AI) Chipsets Market Outlook: Chipset Type
- 5.1.1. Introduction / Key Findings
- 5.1.2. Historical Market Size (US$ Bn) Analysis, By Chipset Type, 2019 – 2023
- 5.1.3. Market Size (US$ Bn) Analysis and Forecast, By Chipset Type, 2024 – 2032
- 5.1.3.1. Graphics Processing Units (GPUs)
- 5.1.3.2. Central Processing Units (CPUs)
- 5.1.3.3. Field-Programmable Gate Arrays (FPGAs)
- 5.1.3.4. Application-Specific Integrated Circuits (ASICs)
- 5.1.3.5. Neural processing units (NPUs)
- 5.1.3.6. Others
- 5.2. Market Attractiveness Analysis: Chipset Type
- 5.3. Global Artificial Intelligence (AI) Chipsets Market Outlook: Computing Technology
- 5.3.1. Introduction / Key Findings
- 5.3.2. Historical Market Size (US$ Bn) Analysis, By Computing Technology, 2019 – 2023
- 5.3.3. Market Size (US$ Bn) Analysis and Forecast, By Computing Technology, 2024 – 2032
- 5.3.3.1. Cloud AI Computing
- 5.3.3.2. Edge AI Computing
- 5.4. Market Attractiveness Analysis: Computing Technology
- 5.5. Global Artificial Intelligence (AI) Chipsets Market Outlook: AI Workload Type
- 5.5.1. Introduction / Key Findings
- 5.5.2. Historical Market Size (US$ Bn) Analysis, By AI Workload Type, 2019 – 2023
- 5.5.3. Market Size (US$ Bn) Analysis and Forecast, By AI Workload Type, 2024 – 2032
- 5.5.3.1. Training
- 5.5.3.2. Inference
- 5.6. Market Attractiveness Analysis: AI Workload Type
- 5.7. Global Artificial Intelligence (AI) Chipsets Market Outlook: End-user
- 5.7.1. Introduction / Key Findings
- 5.7.2. Historical Market Size (US$ Bn) Analysis, By End-user, 2019 – 2023
- 5.7.3. Market Size (US$ Bn) Analysis and Forecast, By End-user, 2024 – 2032
- 5.7.3.1. Consumer Electronics
- 5.7.3.2. Healthcare
- 5.7.3.3. IT & Telecom
- 5.7.3.4. Automotive
- 5.7.3.5. Manufacturing
- 5.7.3.6. BFSI
- 5.7.3.7. Retail and E-commerce
- 5.7.3.8. Others
- 5.8. Market Attractiveness Analysis: End-user
- 6. Global Artificial Intelligence (AI) Chipsets Market Outlook: Region
- 6.1. Key Highlights
- 6.2. Historical Market Size (US$ Bn) Analysis, By Region, 2019 – 2023
- 6.3. Market Size (US$ Bn) Analysis and Forecast, By Region, 2024 – 2032
- 6.3.1. North America
- 6.3.2. Europe
- 6.3.3. East Asia
- 6.3.4. South Asia and Oceania
- 6.3.5. Latin America
- 6.3.6. Middle East & Africa
- 6.4. Market Attractiveness Analysis: Region
- 7. North America Artificial Intelligence (AI) Chipsets Market Outlook: Historical (2019 – 2023) and Forecast (2024 – 2032)
- 7.1. Key Highlights
- 7.2. Historical Market Size (US$ Bn) Analysis, By Market, 2019 – 2023
- 7.2.1. By Country
- 7.2.2. By Chipset Type
- 7.2.3. By Computing Technology
- 7.2.4. By AI Workload Type
- 7.2.5. By End-user
- 7.3. Market Size (US$ Bn) Analysis and Forecast, By Country, 2024 – 2032
- 7.3.1. U.S.
- 7.3.2. Canada
- 7.4. Market Size (US$ Bn) Analysis and Forecast, By Chipset Type, 2024 – 2032
- 7.4.1. Graphics Processing Units (GPUs)
- 7.4.2. Central Processing Units (CPUs)
- 7.4.3. Field-Programmable Gate Arrays (FPGAs)
- 7.4.4. Application-Specific Integrated Circuits (ASICs)
- 7.4.5. Neural processing units (NPUs)
- 7.4.6. Others
- 7.5. Market Size (US$ Bn) Analysis and Forecast, By Computing Technology, 2024 – 2032
- 7.5.1. Cloud AI Computing
- 7.5.2. Edge AI Computing
- 7.6. Market Size (US$ Bn) Analysis and Forecast, By AI Workload Type, 2024 – 2032
- 7.6.1. Training
- 7.6.2. Inference
- 7.7. Market Size (US$ Bn) Analysis and Forecast, By End-user, 2024 – 2032
- 7.7.1. Consumer Electronics
- 7.7.2. Healthcare
- 7.7.3. IT & Telecom
- 7.7.4. Automotive
- 7.7.5. Manufacturing
- 7.7.6. BFSI
- 7.7.7. Retail and E-commerce
- 7.7.8. Others
- 7.8. Market Attractiveness Analysis
- 8. Europe Artificial Intelligence (AI) Chipsets Market Outlook: Historical (2019 – 2023) and Forecast (2024 – 2032)
- 8.1. Key Highlights
- 8.2. Historical Market Size (US$ Bn) Analysis, By Market, 2019 – 2023
- 8.2.1. By Country
- 8.2.2. By Chipset Type
- 8.2.3. By Computing Technology
- 8.2.4. By AI Workload Type
- 8.2.5. By End-user
- 8.3. Market Size (US$ Bn) Analysis and Forecast, By Country, 2024 – 2032
- 8.3.1. Germany
- 8.3.2. France
- 8.3.3. U.K.
- 8.3.4. Italy
- 8.3.5. Spain
- 8.3.6. Russia
- 8.3.7. Turkey
- 8.3.8. Rest of Europe
- 8.4. Market Size (US$ Bn) Analysis and Forecast, By Chipset Type, 2024 – 2032
- 8.4.1. Graphics Processing Units (GPUs)
- 8.4.2. Central Processing Units (CPUs)
- 8.4.3. Field-Programmable Gate Arrays (FPGAs)
- 8.4.4. Application-Specific Integrated Circuits (ASICs)
- 8.4.5. Neural processing units (NPUs)
- 8.4.6. Others
- 8.5. Market Size (US$ Bn) Analysis and Forecast, By Computing Technology, 2024 – 2032
- 8.5.1. Cloud AI Computing
- 8.5.2. Edge AI Computing
- 8.6. Market Size (US$ Bn) Analysis and Forecast, By AI Workload Type, 2024 – 2032
- 8.6.1. Training
- 8.6.2. Inference
- 8.7. Market Size (US$ Bn) Analysis and Forecast, By End-user, 2024 – 2032
- 8.7.1. Consumer Electronics
- 8.7.2. Healthcare
- 8.7.3. IT & Telecom
- 8.7.4. Automotive
- 8.7.5. Manufacturing
- 8.7.6. BFSI
- 8.7.7. Retail and E-commerce
- 8.7.8. Others
- 8.8. Market Attractiveness Analysis
- 9. East Asia Artificial Intelligence (AI) Chipsets Market Outlook: Historical (2019 – 2023) and Forecast (2024 – 2032)
- 9.1. Key Highlights
- 9.2. Historical Market Size (US$ Bn) Analysis, By Market, 2019 – 2023
- 9.2.1. By Country
- 9.2.2. By Chipset Type
- 9.2.3. By Computing Technology
- 9.2.4. By AI Workload Type
- 9.2.5. By End-user
- 9.3. Market Size (US$ Bn) Analysis and Forecast, By Country, 2024 – 2032
- 9.3.1. China
- 9.3.2. Japan
- 9.3.3. South Korea
- 9.4. Market Size (US$ Bn) Analysis and Forecast, By Chipset Type, 2024 – 2032
- 9.4.1. Graphics Processing Units (GPUs)
- 9.4.2. Central Processing Units (CPUs)
- 9.4.3. Field-Programmable Gate Arrays (FPGAs)
- 9.4.4. Application-Specific Integrated Circuits (ASICs)
- 9.4.5. Neural processing units (NPUs)
- 9.4.6. Others
- 9.5. Market Size (US$ Bn) Analysis and Forecast, By Computing Technology, 2024 – 2032
- 9.5.1. Cloud AI Computing
- 9.5.2. Edge AI Computing
- 9.6. Market Size (US$ Bn) Analysis and Forecast, By AI Workload Type, 2024 – 2032
- 9.6.1. Training
- 9.6.2. Inference
- 9.7. Market Size (US$ Bn) Analysis and Forecast, By End-user, 2024 – 2032
- 9.7.1. Consumer Electronics
- 9.7.2. Healthcare
- 9.7.3. IT & Telecom
- 9.7.4. Automotive
- 9.7.5. Manufacturing
- 9.7.6. BFSI
- 9.7.7. Retail and E-commerce
- 9.7.8. Others
- 9.8. Market Attractiveness Analysis
- 10. South Asia & Oceania Artificial Intelligence (AI) Chipsets Market Outlook: Historical (2019 – 2023) and Forecast (2024 – 2032)
- 10.1. Key Highlights
- 10.2. Historical Market Size (US$ Bn) Analysis, By Market, 2019 – 2023
- 10.2.1. By Country
- 10.2.2. By Chipset Type
- 10.2.3. By Computing Technology
- 10.2.4. By AI Workload Type
- 10.2.5. By End-user
- 10.3. Market Size (US$ Bn) Analysis and Forecast, By Country, 2024 – 2032
- 10.3.1. India
- 10.3.2. Southeast Asia
- 10.3.3. ANZ
- 10.3.4. Rest of South Asia & Oceania
- 10.4. Market Size (US$ Bn) Analysis and Forecast, By Chipset Type, 2024 – 2032
- 10.4.1. Graphics Processing Units (GPUs)
- 10.4.2. Central Processing Units (CPUs)
- 10.4.3. Field-Programmable Gate Arrays (FPGAs)
- 10.4.4. Application-Specific Integrated Circuits (ASICs)
- 10.4.5. Neural processing units (NPUs)
- 10.4.6. Others
- 10.5. Market Size (US$ Bn) Analysis and Forecast, By Computing Technology, 2024 – 2032
- 10.5.1. Cloud AI Computing
- 10.5.2. Edge AI Computing
- 10.6. Market Size (US$ Bn) Analysis and Forecast, By AI Workload Type, 2024 – 2032
- 10.6.1. Training
- 10.6.2. Inference
- 10.7. Market Size (US$ Bn) Analysis and Forecast, By End-user, 2024 – 2032
- 10.7.1. Consumer Electronics
- 10.7.2. Healthcare
- 10.7.3. IT & Telecom
- 10.7.4. Automotive
- 10.7.5. Manufacturing
- 10.7.6. BFSI
- 10.7.7. Retail and E-commerce
- 10.7.8. Others
- 10.8. Market Attractiveness Analysis
- 11. Latin America Artificial Intelligence (AI) Chipsets Market Outlook: Historical (2019 – 2023) and Forecast (2024 – 2032)
- 11.1. Key Highlights
- 11.2. Historical Market Size (US$ Bn) Analysis, By Market, 2019 – 2023
- 11.2.1. By Country
- 11.2.2. By Chipset Type
- 11.2.3. By Computing Technology
- 11.2.4. By AI Workload Type
- 11.2.5. By End-user
- 11.3. Market Size (US$ Bn) Analysis and Forecast, By Country, 2024 – 2032
- 11.3.1. Brazil
- 11.3.2. Mexico
- 11.3.3. Rest of Latin America
- 11.4. Market Size (US$ Bn) Analysis and Forecast, By Chipset Type, 2024 – 2032
- 11.4.1. Graphics Processing Units (GPUs)
- 11.4.2. Central Processing Units (CPUs)
- 11.4.3. Field-Programmable Gate Arrays (FPGAs)
- 11.4.4. Application-Specific Integrated Circuits (ASICs)
- 11.4.5. Neural processing units (NPUs)
- 11.4.6. Others
- 11.5. Market Size (US$ Bn) Analysis and Forecast, By Computing Technology, 2024 – 2032
- 11.5.1. Cloud AI Computing
- 11.5.2. Edge AI Computing
- 11.6. Market Size (US$ Bn) Analysis and Forecast, By AI Workload Type, 2024 – 2032
- 11.6.1. Training
- 11.6.2. Inference
- 11.7. Market Size (US$ Bn) Analysis and Forecast, By End-user, 2024 – 2032
- 11.7.1. Consumer Electronics
- 11.7.2. Healthcare
- 11.7.3. IT & Telecom
- 11.7.4. Automotive
- 11.7.5. Manufacturing
- 11.7.6. BFSI
- 11.7.7. Retail and E-commerce
- 11.7.8. Others
- 11.8. Market Attractiveness Analysis
- 12. Middle East & Africa Artificial Intelligence (AI) Chipsets Market Outlook: Historical (2019 – 2023) and Forecast (2024 – 2032)
- 12.1. Key Highlights
- 12.2. Historical Market Size (US$ Bn) Analysis, By Market, 2019 – 2023
- 12.2.1. By Country
- 12.2.2. By Chipset Type
- 12.2.3. By Computing Technology
- 12.2.4. By AI Workload Type
- 12.2.5. By End-user
- 12.3. Market Size (US$ Bn) Analysis and Forecast, By Country, 2024 – 2032
- 12.3.1. GCC Countries
- 12.3.2. Egypt
- 12.3.3. South Africa
- 12.3.4. Northern Africa
- 12.3.5. Rest of Middle East & Africa
- 12.4. Market Size (US$ Bn) Analysis and Forecast, By Chipset Type, 2024 – 2032
- 12.4.1. Graphics Processing Units (GPUs)
- 12.4.2. Central Processing Units (CPUs)
- 12.4.3. Field-Programmable Gate Arrays (FPGAs)
- 12.4.4. Application-Specific Integrated Circuits (ASICs)
- 12.4.5. Neural processing units (NPUs)
- 12.4.6. Dishwashers
- 12.4.7. Others
- 12.5. Market Size (US$ Bn) Analysis and Forecast, By Computing Technology, 2024 – 2032
- 12.5.1. Cloud AI Computing
- 12.5.2. Edge AI Computing
- 12.6. Market Size (US$ Bn) Analysis and Forecast, By AI Workload Type, 2024 – 2032
- 12.6.1. Training
- 12.6.2. Inference
- 12.7. Market Size (US$ Bn) Analysis and Forecast, By End-user, 2024 – 2032
- 12.7.1. Consumer Electronics
- 12.7.2. Healthcare
- 12.7.3. IT & Telecom
- 12.7.4. Automotive
- 12.7.5. Manufacturing
- 12.7.6. BFSI
- 12.7.7. Retail and E-commerce
- 12.7.8. Others
- 12.8. Market Attractiveness Analysis
- 13. Competition Landscape
- 13.1. Market Share Analysis, 2024
- 13.2. Market Structure
- 13.2.1. Competition Intensity Mapping
- 13.2.2. Competition Dashboard
- 13.3. Company Profiles (Details – Overview, Financials, Strategy, Recent Developments)
- 13.3.1. NVIDIA
- 13.3.1.1. Overview
- 13.3.1.2. Solution Portfolio
- 13.3.1.3. Key Financials
- 13.3.1.4. Market Developments
- 13.3.1.5. Market Strategy
- 13.3.2. Advanced Micro Devices, Inc.
- 13.3.3. Intel Corporation
- 13.3.4. Google
- 13.3.5. Qualcomm
- 13.3.6. Amazon (AWS)
- 13.3.7. SK HYNIX INC.
- 13.3.8. Graphcore
- 13.3.9. Cerebras Systems
- 13.3.10. Huawei Technologies Co., Ltd.
- 13.3.11. Microsoft Corporation
- 13.3.12. Baidu, Inc.
- 13.3.13. Mythic Inc.
- 13.3.14. Others
- 14. Appendix
- 14.1. Research Methodology
- 14.2. Research Assumptions
- 14.3. Acronyms and Abbreviations
Pricing
Currency Rates
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