Global Machine Learning Chip Market Size Study, by Chip Type (GPU, ASIC, FPGA, CPU, NPU, Hybrid Chip, Others), by Technology (System-On-Chip, System-In-Package, Multi-Chip Module, Others), by Industry Vertical (Media and Advertising, BFSI, IT and Telecom,

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $4,950	285 Pages	Bizwit Research & Consulting	October, 2024	BIZW19221532

Best Price Guarantee
Price	from $4,950
Length	285 Pages
Publisher	Bizwit Research & Consulting
Published Date	October, 2024
SKU	BIZW19221532

Global Machine Learning Chip Market Size Study, by Chip Type (GPU, ASIC, FPGA, CPU, NPU, Hybrid Chip, Others), by Technology (System-On-Chip, System-In-Package, Multi-Chip Module, Others), by Industry Vertical (Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, Others) and Regional Forecasts 2022-2032

Global Machine Learning Chip Market was valued at USD 3.54 billion in 2023 and is projected to grow at a remarkable CAGR of 41.11% over the forecast period 2024-2032. Machine Learning Chips are specialized processors designed to accelerate artificial intelligence (AI) and machine learning (ML) tasks, optimizing the computational process by enabling faster and more efficient handling of large datasets. These chips, which frequently incorporate neural network architectures, are fundamental to advancing various applications such as autonomous systems, image recognition, natural language processing, and smart devices. Their integration into technologies such as self-driving cars and cloud computing signifies their pivotal role in propelling AI innovations across multiple industries.

The Global Machine Learning Chip Market is substantially driven by the rising trend of digitalization and the expansion of the information technology (IT) sector worldwide. Deep learning algorithms, which benefit from the increased adoption of machine learning chips, significantly enhance the accuracy and efficiency of decision-making processes by automatically intercepting available data points. Furthermore, the increasing prevalence of cyber-attacks necessitates the deployment of advanced database management, fraud detection systems, and cybersecurity measures, further propelling market growth. However, the market faces certain challenges, including a low return on investment and a shortage of skilled AI professionals. Additionally, the limited availability of structured data poses a significant challenge to market growth during the forecast period.

The key regions considered for the market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North America held the dominant market share driven by its robust IT infrastructure, high adoption of AI technologies, and significant investments in AI research and development. Futhermore, the Asia-Pacific region is expected to witness the fastest growth over the forecast period, owing to the rapid digital transformation across industries, increasing government initiatives for AI development, and the presence of a large consumer electronics market.

Major market players included in this report are:

Google Inc.

Amazon Web Services, Inc.

Advanced Micro Devices, Inc.

BitMain Technologies Holding Company

Intel Corporation

Xilinx

SAMSUNG

Qualcomm Technologies, Inc.

NVIDIA Corporation

Wave Computing, Inc.

Graphcore

IBM Corporation

Taiwan Semiconductor Manufacturing Company Limited

Micron Technology, Inc

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

By Chip Type
• GPU
• ASIC
• FPGA
• CPU
• NPU
• Hybrid Chip
• Others

By Technology
• System-On-Chip
• System-In-Package
• Multi-Chip Module
• Others

By Industry Vertical
• Media and Advertising
• BFSI
• IT and Telecom
• Retail
• Healthcare
• Automotive and Transportation
• Others

By Region:

North America
• U.S.
• Canada

Europe
• UK
• Germany
• France
• Spain
• Italy
• ROE

Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• RoAPAC

Latin America
• Brazil
• Mexico
• RoLA

Middle East & Africa
• Saudi Arabia
• South Africa
• RoMEA

Years considered for the study are as follows:
• Historical year – 2021
• Base year – 2022
• Forecast period – 2023 to 2032

Key Takeaways:
• Market Estimates & Forecast for 10 years from 2022 to 2032.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market

Please note:The single user license is non-downloadable and non-printable. Global Site license allows these actions.

Chapter 1. Global Machine Learning Chip Market Executive Summary: 1.1. Global Machine Learning Chip Market Size & Forecast (2022-2032); 1.2. Regional Summary; 1.3. Segmental Summary; 1.3.1. By Chip Type; 1.3.2. By Technology; 1.3.3. By Industry Vertical; 1.4. Key Trends; 1.5. Recession Impact; 1.6. Analyst Recommendation & Conclusion
Chapter 2. Global Machine Learning Chip 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 Machine Learning Chip Market Dynamics: 3.1. Market Drivers; 3.1.1. Rise in Trend of Digitalization; 3.1.2. Increase in Cyber Attacks; 3.2. Market Challenges; 3.2.1. Low Return on Investment; 3.2.2. Lack of Skilled AI Workforce; 3.3. Market Opportunities; 3.3.1. Expansion in Emerging Markets; 3.3.2. Growing Investments in AI Research and Development
Chapter 4. Global Machine Learning Chip 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 Machine Learning Chip Market Size & Forecasts by Chip Type (2022-2032): 5.1. Segment Dashboard; 5.2. Global Machine Learning Chip Market: Chip Type Revenue Trend Analysis, 2022 & 2032 (USD Billion); 5.2.1. GPU; 5.2.2. ASIC; 5.2.3. FPGA; 5.2.4. CPU; 5.2.5. NPU; 5.2.6. Hybrid Chip; 5.2.7. Others
Chapter 6. Global Machine Learning Chip Market Size & Forecasts by Technology (2022-2032): 6.1. Segment Dashboard; 6.2. Global Machine Learning Chip Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Billion); 6.2.1. System-On-Chip; 6.2.2. System-In-Package; 6.2.3. Multi-Chip Module; 6.2.4. Others
Chapter 7. Global Machine Learning Chip Market Size & Forecasts by Industry Vertical (2022-2032): 7.1. Segment Dashboard; 7.2. Global Machine Learning Chip Market: Industry Vertical Revenue Trend Analysis, 2022 & 2032 (USD Billion); 7.2.1. Media and Advertising; 7.2.2. BFSI; 7.2.3. IT and Telecom; 7.2.4. Retail; 7.2.5. Healthcare; 7.2.6. Automotive and Transportation; 7.2.7. Others
Chapter 8. Global Machine Learning Chip Market Size & Forecasts by Region (2022-2032): 8.1. North America Machine Learning Chip Market; 8.1.1. U.S. Machine Learning Chip Market; 8.1.1.1. Chip Type breakdown size & forecasts, 2022-2032; 8.1.1.2. Technology breakdown size & forecasts, 2022-2032; 8.1.1.3. Industry Vertical breakdown size & forecasts, 2022-2032; 8.1.2. Canada Machine Learning Chip Market; 8.2. Europe Machine Learning Chip Market; 8.2.1. U.K. Machine Learning Chip Market; 8.2.2. Germany Machine Learning Chip Market; 8.2.3. France Machine Learning Chip Market; 8.2.4. Spain Machine Learning Chip Market; 8.2.5. Italy Machine Learning Chip Market; 8.2.6. Rest of Europe Machine Learning Chip Market; 8.3. Asia-Pacific Machine Learning Chip Market; 8.3.1. China Machine Learning Chip Market; 8.3.2. India Machine Learning Chip Market; 8.3.3. Japan Machine Learning Chip Market; 8.3.4. Australia Machine Learning Chip Market; 8.3.5. South Korea Machine Learning Chip Market; 8.3.6. Rest of Asia Pacific Machine Learning Chip Market; 8.4. Latin America Machine Learning Chip Market; 8.4.1. Brazil Machine Learning Chip Market; 8.4.2. Mexico Machine Learning Chip Market; 8.4.3. Rest of Latin America Machine Learning Chip Market; 8.5. Middle East & Africa Machine Learning Chip Market; 8.5.1. Saudi Arabia Machine Learning Chip Market; 8.5.2. South Africa Machine Learning Chip Market; 8.5.3. Rest of Middle East & Africa Machine Learning Chip Market
Chapter 9. Competitive Intelligence: 9.1. Key Company SWOT Analysis; 9.1.1. Company 1; 9.1.2. Company 2; 9.1.3. Company 3; 9.2. Top Market Strategies; 9.3. Company Profiles; 9.3.1. Google Inc.; 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. Amazon Web Services, Inc.; 9.3.3. Advanced Micro Devices, Inc.; 9.3.4. BitMain Technologies Holding Company; 9.3.5. Intel Corporation; 9.3.6. Xilinx; 9.3.7. SAMSUNG; 9.3.8. Qualcomm Technologies, Inc.; 9.3.9. Wave Computing, Inc.; 9.3.10. Graphcore; 9.3.11. IBM Corporation; 9.3.12. Taiwan Semiconductor Manufacturing Company Limited; 9.3.13. Micron Technology, 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 AttributesList of Tables; TABLE 1. Global Machine Learning Chip market, report scope; TABLE 2. Global Machine Learning Chip market estimates & forecasts by Region 2022-2032 (USD Billion); TABLE 3. Global Machine Learning Chip market estimates & forecasts by Chip Type 2022-2032 (USD Billion); TABLE 4. Global Machine Learning Chip market estimates & forecasts by Technology 2022-2032 (USD Billion); TABLE 5. Global Machine Learning Chip market estimates & forecasts by Industry Vertical 2022-2032 (USD Billion); This list is not complete, final report does contain more than 100 tables. The list may be updated in the final deliverableList of Figures; FIGURE 1. Global Machine Learning Chip market, research methodology; FIGURE 2. Global Machine Learning Chip market, market estimation techniques; FIGURE 3. Global market size estimates & forecast methods.; FIGURE 4. Global Machine Learning Chip market, key trends 2023; FIGURE 5. Global Machine Learning Chip market, growth prospects 2022-2032; FIGURE 6. Global Machine Learning Chip market, porters 5 force model; FIGURE 7. Global Machine Learning Chip market, PESTEL analysis; FIGURE 8. Global Machine Learning Chip market, value chain analysis; FIGURE 9. Global Machine Learning Chip market by Chip Type, 2022 & 2032 (USD Billion); FIGURE 10. Global Machine Learning Chip market by Technology, 2022 & 2032 (USD Billion); FIGURE 11. Global Machine Learning Chip market by Industry Vertical, 2022 & 2032 (USD Billion); This list is not complete, final report does contain more than 50 figures. The list may be updated in the final deliverable

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Global Machine Learning Chip Market Size Study, by Chip Type (GPU, ASIC, FPGA, CPU, NPU, Hybrid Chip, Others), by Technology (System-On-Chip, System-In-Package, Multi-Chip Module, Others), by Industry Vertical (Media and Advertising, BFSI, IT and Telecom,

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Global Machine Learning Chip Market Size Study, by Chip Type (GPU, ASIC, FPGA, CPU, NPU, Hybrid Chip, Others), by Technology (System-On-Chip, System-In-Package, Multi-Chip Module, Others), by Industry Vertical (Media and Advertising, BFSI, IT and Telecom,

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