Machine Learning Chip Market Trends, Share, Size, Demand, Revenue and Future Outlook
Machine Learning Chip Market Growth, Size, Trends Analysis- By Chip Type, By Technology, By Industry Vertical- Regional Outlook, Competitive Strategies and Segment Forecast to 2033
| Published: Dec-2024 | Report ID: SEMI2442 | Pages: 1 - 247 | Formats*: |
| Category : Semiconductor and Electronics | |||
Global Machine Learning Chip Market Introduction and Overview
According to SPER Market Research, the Global Machine Learning Chip Market is estimated to reach USD 67.29 billion by 2033 with a CAGR of 22.28%.
The report includes an in-depth analysis of the Global Machine Learning Chip Market, including market size and trends, product mix, applications, and supplier analysis. Artificial intelligence (AI) technology that supports deep learning-based applications is a component of machine learning (ML) chips. System-on-chip (SoC), multi-chip module, and system-in-package are some of the technologies it uses. Its hardware infrastructure consists of processing, networking, and storage. It is deployed in a system to optimize tool flows, design, and intellectual property cores. It is economical, helps to avoid mistakes in a process, and effectively saves a significant amount of data. In comparison to larger transistors, it offers fast speed, improves efficiency, and uses less energy. In addition, it helps to enhance analytics, power, performance, and optimization.
- In May 2020, NVIDIA revealed the NVIDIA A100, the company's first GPU built on the Ampere architecture. Production is complete, and it is being shipped to clients all around the world. It offers the biggest performance boost the business has seen to far and builds on design innovations in the NVIDIA Ampere architecture.
Market Opportunities and Challenges
Opportunities- One of the main factors driving the market's progress at the moment is the growing trend of digitization and the global expansion of the IT and telecommunications sectors. Additionally, the growing frequency of cyberattacks pushes companies to use fraud detection and database management solutions, which is driving market expansion. In addition, the growing demand for ML chips brought about by the global expansion of smart homes and smart cities is providing industry investors with profitable growth prospects. Furthermore, the industry is being positively impacted by the growing popularity of quantum computing and the use of machine learning (ML) chips in robotics to lower human error and intervention worldwide.
Challenges- A serious lack of semiconductor supplies is one of the main issues. The persistent chip scarcity since 2020 is causing a major disruption in the worldwide semiconductor sector. Numerous industries are being impacted by this problem, including media and advertising, healthcare, IT and telecom, networking, storage, computing, and the automobile and transportation sectors. Businesses are having to wait a long time to get chips; some have reported delays of more than 28 weeks. As a result, companies are ordering more chips than they need in order to guarantee their supply, which puts a burden on manufacturing capacity and raises prices. Chips of many kinds, including CPUs, GPUs, ASICs, FPGAs, System on Chip, System in Package, Multi Chip Module, and others, are highly sought after.
Market Competitive Landscape
The Global Machine Learning Chip Market is moderately consolidated. Some of the market key players are Advanced Micro Devices, Inc., Amazon Web Services, Inc., BitMain Technologies Holding Company, Graphcore, Google Inc, IBM Corporation, Intel Corporation, Micron Technology, Inc., NVIDIA Corporation, Qualcomm Technologies, Inc., SAMSUNG, Others.
Scope of the report:
| Report Metric | Details |
| Market size available for years | 2020-2033 |
| Base year considered | 2023 |
| Forecast period | 2024-2033 |
| Segments covered | By Chip Type, By Technology, By Industry Vertical |
| Regions covered | North America, Asia-Pacific, Latin America, Middle East & Africa and Europe |
| Companies Covered | Advanced Micro Devices, Inc., Amazon Web Services, Inc., BitMain Technologies Holding Company, Graphcore, Google Inc, IBM Corporation, Intel Corporation, Micron Technology, Inc., NVIDIA Corporation, Qualcomm Technologies, Inc., SAMSUNG, Others. |
COVID-19 Impact on Global Machine Learning Chip Market
The global market for machine learning chips was significantly impacted by the COVID-19 epidemic, both in terms of opportunities and problems. Due to worldwide lockdowns and travel restrictions, the pandemic, on the one hand, severely disrupted the supply chain, disrupting semiconductor manufacturing and causing delays in the development and delivery of machine learning chips. Chip supply was further hampered by factory labor shortages and logistical issues. But there were also fresh chances brought about by the pandemic. The need for machine learning chips increased as a result of the rise in remote work and digital services, as well as the growing application of AI in healthcare.
Key Target Audience:
- Tech Companies and Startups
- Data Centers and Cloud Service Providers
- Automotive Industry
- Healthcare and Medical Research Institutions
- Consumer Electronics Manufacturers
- Retail and E-commerce Companies
- Financial Institutions and Fintech Companies
- Government and Defense Agencies
Our in-depth analysis of the Global Machine Learning Chip Market includes the following segments:
| By Chip Type: | |
| By Technology: | |
| By Industry Vertical: |
Key Topics Covered in the Report:
- Global Machine Learning Chip Market Size (FY’2024-FY’2033)
- Overview of Global Machine Learning Chip Market
- Segmentation of Global Machine Learning Chip Market By Chip Type (GPU, ASIC, FPGA, CPU, NPU, Hybrid Chip)
- Segmentation of Global Machine Learning Chip Market By Technology (System-On-Chip, System-In-Package, Multi-Chip Module, Others)
- Segmentation of Global Machine Learning Chip Market By Industry Vertical (Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, Others)
- Statistical Snap of Global Machine Learning Chip Market
- Expansion Analysis of Global Machine Learning Chip Market
- Problems and Obstacles in Global Machine Learning Chip Market
- Competitive Landscape in the Global Machine Learning Chip Market
- Impact of COVID-19 and Demonetization on Global Machine Learning Chip Market
- Details on Current Investment in Global Machine Learning Chip Market
- Competitive Analysis of Global Machine Learning Chip Market
- Prominent Players in the Global Machine Learning Chip Market
- SWOT Analysis of Global Machine Learning Chip Market
- Global Machine Learning Chip Market Future Outlook and Projections (FY’2024-FY’2033)
- Recommendations from Analyst
1. Introduction
1.1. Scope of the report1.2. Market segment analysis
2. Research Methodology
2.1. Research data source2.1.1. Secondary Data2.1.2. Primary Data2.1.3. SPER’s internal database2.1.4. Premium insight from KOL’s2.2. Market size estimation2.2.1. Top-down and Bottom-up approach2.3. Data triangulation
3. Executive Summary
4. Market Dynamics
4.1. Driver, Restraint, Opportunity and Challenges analysis4.1.1. Drivers4.1.2. Restraints4.1.3. Opportunities4.1.4. Challenges4.2. COVID-19 Impacts of the Global Machine Learning Chip Market
5. Market variable and outlook
5.1. SWOT Analysis5.1.1. Strengths5.1.2. Weaknesses5.1.3. Opportunities5.1.4. Threats5.2. PESTEL Analysis5.2.1. Political Landscape5.2.2. Economic Landscape5.2.3. Social Landscape5.2.4. Technological Landscape5.2.5. Environmental Landscape5.2.6. Legal Landscape5.3. PORTER’s Five Forces5.3.1. Bargaining power of suppliers5.3.2. Bargaining power of buyers5.3.3. Threat of Substitute5.3.4. Threat of new entrant5.3.5. Competitive rivalry5.4. Heat Map Analysis
6. Competitive Landscape
6.1. Global Machine Learning Chip Market Manufacturing Base Distribution, Sales Area, Product Type
6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global Machine Learning Chip Market
7. Global Machine Learning Chip Market, By Chip Type (USD Million) 2020-2033
7.1. Global Machine Learning Chip Market Size, Share and Forecast, By Chip Type, 2020-20267.2. Global Machine Learning Chip Market Size, Share and Forecast, By Chip Type, 2027-20337.3. GPU7.4. ASIC7.5. FPGA7.6. CPU7.7. NPU7.8. Hybrid Chip7.9. Others
8. Global Machine Learning Chip Market, By Technology (USD Million) 2020-2033
8.1. Global Machine Learning Chip Market Size, Share and Forecast, By Technology, 2020-20268.2. Global Machine Learning Chip Market Size, Share and Forecast, By Technology, 2027-20338.3. System-On-Chip8.4. System-In-Package8.5. Multi-Chip Module8.6. Others
9. Global Machine Learning Chip Market, By Industry Vertical (USD Million) 2020-2033
9.1. Global Machine Learning Chip Market Size, Share and Forecast, By Industry Vertical, 2020-20269.2. Global Machine Learning Chip Market Size, Share and Forecast, By Industry Vertical, 2027-20339.3. Media and Advertising9.4. BFSI9.5. IT and Telecom9.6. Retail9.7. Healthcare9.8. Automotive and Transportation9.9. Others
10. Global Machine Learning Chip Market Forecast, 2020-2033 (USD Million)
10.1. Global Machine Learning Chip Market Size and Market Share
11. Global Machine Learning Chip Market, By Region, 2020-2033 (USD Million)
11.1. Global Machine Learning Chip Market Size and Market Share By Region (2020-2026)11.2. Global Machine Learning Chip Market Size and Market Share By Region (2027-2033)11.3. Asia-Pacific11.3.1. Australia11.3.2. China11.3.3. India11.3.4. Japan11.3.5. South Korea11.3.6. Rest of Asia-Pacific11.4. Europe11.4.1. France11.4.2. Germany11.4.3. Italy11.4.4. Spain11.4.5. United Kingdom11.4.6. Rest of Europe11.5. Middle East and Africa11.5.1. Kingdom of Saudi Arabia11.5.2. United Arab Emirates11.5.3. Qatar11.5.4. South Africa11.5.5. Egypt11.5.6. Morocco11.5.7. Nigeria11.5.8. Rest of Middle-East and Africa11.6. North America11.6.1. Canada11.6.2. Mexico11.6.3. United States11.7. Latin America11.7.1. Argentina11.7.2. Brazil11.7.3. Rest of Latin America
12. Company Profile
12.1. Advanced Micro Devices, Inc12.1.1. Company details12.1.2. Financial outlook12.1.3. Product summary12.1.4. Recent developments12.2. Amazon Web Services, Inc.12.2.1. Company details12.2.2. Financial outlook12.2.3. Product summary12.2.4. Recent developments12.3. BitMain Technologies Holding Company12.3.1. Company details12.3.2. Financial outlook12.3.3. Product summary12.3.4. Recent developments12.4. Graphcore12.4.1. Company details12.4.2. Financial outlook12.4.3. Product summary12.4.4. Recent developments12.5. Google Inc12.5.1. Company details12.5.2. Financial outlook12.5.3. Product summary12.5.4. Recent developments12.6. IBM Corporation12.6.1. Company details12.6.2. Financial outlook12.6.3. Product summary12.6.4. Recent developments12.7. Intel Corporation12.7.1. Company details12.7.2. Financial outlook12.7.3. Product summary12.7.4. Recent developments12.8. Micron Technology, Inc.12.8.1. Company details12.8.2. Financial outlook12.8.3. Product summary12.8.4. Recent developments12.9. NVIDIA Corporation12.9.1. Company details12.9.2. Financial outlook12.9.3. Product summary12.9.4. Recent developments12.10. Qualcomm Technologies, Inc.12.10.1. Company details12.10.2. Financial outlook12.10.3. Product summary12.10.4. Recent developments12.11. SAMSUNG12.11.1. Company details12.11.2. Financial outlook12.11.3. Product summary12.11.4. Recent developments12.12. Others
13. Conclusion
14. List of Abbreviations
15. Reference Links
SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.
The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.
Frequently Asked Questions About This Report
Machine Learning Chip Market is projected to reach USD 67.29 billion by 2033, growing at a CAGR of 22.28% during the forecast period.
Machine Learning Chip Market grew in Market size from 2024. The Market is expected to reach USD 67.29 billion by 2033, at a CAGR of 22.28% during the forecast period.
Machine Learning Chip Market CAGR of 22.28% during the forecast period.
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Machine Learning Chip Market size is USD 67.29 billion from 2024 to 2033.
Machine Learning Chip Market is covered By Chip Type, By Technology and By Industry Vertical
The North America is anticipated to have the highest Market share in the Machine Learning Chip Market.
The Key players in the Market include Companies Covered Advanced Micro Devices, Inc., Amazon Web Services, Inc., BitMain Technologies Holding Company, Graphcore, Google Inc, IBM Corporation, Intel Corporation, Micron Technology, Inc., NVIDIA Corporation, Qualcomm Technologies, Inc., SAMSUNG, Others.
The high cost of advanced diabetes drugs and the financial burden of treating diabetes remain major obstacles to market growth, despite the fact that numerous drugs have been approved for the condition and that governments and industry players are launching numerous initiatives.
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