Global Machine Learning Chip Market, By Chip Type (GPU, ASIC, FPGA, CPU, Others), Technology (System-on-Chip, System-in-Package, Multi-Chip Module, Others), Industry Vertical (Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, Others) - Industry Trends and Forecast to 2029.
Market Analysis and Size
Machine learning chips are widely utilized for error prevention and cost-saving purposes across various industries including automotive, transportation, manufacturing, media and advertising, and finance. The hardware infrastructure include storage, computing, components, and networking.
Global Machine Learning Chip Market was valued at USD 1.78 billion in 2021 and is expected to reach USD 144.24 billion by 2029, registering a CAGR of 41.10% during the forecast period of 2022-2029. System-on-Chip accounts for the largest technology segment in the respective market owing to the high usage of this technology by providers for reducing costs. The market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
Market Definition
Machine learning (ML) is defined as a part of artificial intelligence (AI), which generally operates on experiential learning instead of programming for the task of decision making. These chips are installed for enhancing intellectual property cores. These assist in improving performance, area (PPA) results through ML, power, optimization and analytics.
Report Scope and Market Segmentation
|
Report Metric |
Details |
|
Forecast Period |
2022 to 2029 |
|
Base Year |
2021 |
|
Historic Years |
2020 (Customizable to 2019 - 2014) |
|
Quantitative Units |
Revenue in USD Billion, Volumes in Units, Pricing in USD |
|
Segments Covered |
Chip Type (GPU, ASIC, FPGA, CPU, Others), Technology (System-on-Chip, System-in-Package, Multi-Chip Module, Others), Industry Vertical (Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, Others) |
|
Countries Covered |
U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America. |
|
Market Players Covered |
Google Inc (US), Amazon Web Services, Inc. (US), Advanced Micro Devices, Inc (US), BitMain Technologies Holding Company (China), Intel Corporation (US), Xilinx (US), SAMSUNG (South Korea), Qualcomm Technologies, Inc. (US), NVIDIA Corporation (US), Wave Computing, Inc. (US), Graphcore (UK), IBM Corporation (US), Taiwan Semiconductor Manufacturing Company Limited (Taiwan), and Micron Technology, Inc. (US), among others |
|
Market Opportunities |
|
Machine Learning Chip Market Dynamics
This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail as below:
Drivers
- Rise in Trend of Digitalization
The rise in trend of digitalization along with expansion of information technology (IT) industry across the globe is one of the major factors driving the growth of machine learning chip market. Deep learning algorithms are capable of automatically intercepting available data points that improves accuracy and efficiency of the decision-making process.
- Increase in Cyber Attacks
The increase in the number of cyber-attacks encouraging industries to employ database management, fraud detection systems and cybersecurity accelerate the market.
Integration with Advanced Technologies
The integration with big data analytics and cloud computing to offer enhanced services to various industries further influence the market. The research and development (RandD) activities improve hardware and software processing solutions for deep learning.
Additionally, rapid urbanization, change in lifestyle, surge in investments and increased consumer spending positively impact the machine learning chip market.
Opportunities
Furthermore, rise in focus on developing human-aware AI systems extend profitable opportunities to the market players in the forecast period of 2022 to 2029. Also, bringing AI to edge devices will further expand the market.
Restraints/Challenges
On the other hand, low return on investment and lack of skilled AI workforce are expected to obstruct market growth. Also, limited structured data is projected to challenge the machine learning chip market in the forecast period of 2022-2029.
This machine learning chip market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on machine learning chip market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
COVID-19 Impact on Machine Learning Chip Market
The COVID-19 had a negative impact on the machine learning chip market owing to the strict lockdowns and social distancing to contain the spread of the virus. The economic uncertainty, partial shutdown of the business and low consumer confidence impacted demand machine learning chip technology. The supply chain got hampered during the pandemic along with delay logistics activities. However, the machine learning chip market is expected to regain its pace during the post pandemic scenario due to the easing on the restrictions.
Recent Developments
- NVIDIA launched two powerful products for its EGX Edge AI platform and EGX A100 in May’2020 in for larger commercial off-the-shelf servers. These platforms are capable of securely deploying, updating and managing fleets of servers remotely.
- NVIDIA announced that the NVIDIA A100, the first GPU based on the NVIDIA Ampere architecture in May’2020. It is in full production and shipping to customers worldwide. It draws on design breakthroughs in the NVIDIA Ampere architecture and provides company’s largest leap in performance to date.
Global Machine Learning Chip Market Scope and Market Size
The machine learning chip market is segmented on the basis of chip type, technology and industry vertical. The growth amongst these segments will help you analyze meager growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Chip Type
- GPU
- ASIC
- FPGA
- CPU
- Others
- NPU
- Hybrid Chip
Technology
- System-On-Chip
- System-In-Package
- Multi-Chip Module
- Others
Industry Vertical
- Media and Advertising
- BFSI
- IT and Telecom
- Retail
- Healthcare
- Automotive and Transportation
- Others
Machine Learning Chip Market Regional Analysis/Insights
The machine learning chip market is analysed and market size insights and trends are provided by country, chip type, technology and industry vertical as referred above.
The countries covered in the machine learning chip market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the machine learning chip market because of increase in concern about the security of critical infrastructure and sensitive data within the region.
Europe is expected to witness significant growth during the forecast period of 2022 to 2029 because of the adoption of advanced technology in the region.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Machine Learning Chip Market
The machine learning chip market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to machine learning chip market.
Some of the major players operating in machine learning chip market are
- Google Inc (US)
- Amazon Web Services, Inc. (US)
- Advanced Micro Devices, Inc (US)
- BitMain Technologies Holding Company (China)
- Intel Corporation (US)
- Xilinx (US), SAMSUNG (South Korea)
- Qualcomm Technologies, Inc. (US)
- NVIDIA Corporation (US)
- Wave Computing, Inc. (US)
- Graphcore (UK)
- IBM Corporation (US)
- Taiwan Semiconductor Manufacturing Company Limited (Taiwan)
- Micron Technology, Inc. (US)
SKU-
