Global Machine Learning Chip Market Size Study, by Chip Type, by Technology, by Industry Vertical and Regional Forecasts 2022-2032

Description

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

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
9.2. 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 Attributes