Market Overview:
The global AI accelerator chip market is expected to grow at a CAGR of over 25% during the forecast period from 2018 to 2030. The growth in the market can be attributed to the increasing demand for AI-enabled devices and rising adoption of artificial intelligence across various industries. Based on type, the global AI accelerator chip market is segmented into GPU, FPGA, ASIC, and others. The GPU segment is expected to hold a major share of the market during the forecast period owing to its ability to handle large amounts of data processing quickly. Based on application, the global AI accelerator chip market is segmented into automotive, consumer electronics, healthcare, manufacturing and others. The automotive sector is expected to witness high growth during the forecast period owing to increasing demand for autonomous vehicles.
Product Definition:
An AI accelerator chip is a type of microprocessor that is specifically designed for accelerating the performance of artificial intelligence tasks.
The importance of AI accelerator chips lies in their ability to greatly improve the performance of artificial intelligence tasks, thus allowing devices to handle these tasks more efficiently. This can be extremely beneficial for applications such as image recognition, natural language processing, and machine learning.
GPU:
The global GPU, it's usage and growth factor in AI Accelerator Chip market size was valued at USD 2.83 billion in 2018 and is expected to register a CAGR of XX% from 2019 to 2025. The growth can be attributed to the increasing demand for Artificial Intelligence (AI) chipsets owing to their ability to deliver high performance at low power consumption levels as compared with traditional CPU solutions.
FPGA:
An FPGA (Field Programmable Gate Array) is a type of semiconductor that can be programmed to perform specific tasks. In the field of artificial intelligence, an FPGA is used for implementing neural networks and other machine learning algorithms. The AI accelerator chip market has witnessed significant growth over the past few years owing to increasing demand for Artificial Intelligence (AI) in smartphones and other consumer electronics devices.
Application Insights:
The automotive application segment accounted for the largest market share in 2017 and is projected to expand at a significant CAGR over the forecast period. The growth can be attributed to increasing adoption of deep learning algorithms in self-driving cars, connected car systems, and ADAS applications. Moreover, rising demand for smart vehicles is expected to drive demand over the coming years.
The consumer electronics segment was valued at USD 281 million in 2017 owing to growing usage of AI acceleration chipsets in smart home devices, wearable gadgets and virtual reality (VR) headsets among others. Furthermore, these chipsets are also used across several other consumer electronic products such as set-top boxes (STB), gaming consoles etc., which are being introduced with AI capabilities by various TV manufacturers including Samsung Electronics Co., Ltd., Sony Corporation and Panasonic Corporation among others.
Regional Analysis:
The North American regional market accounted for the largest share in 2017 and is expected to maintain its lead over the forecast period. The growth can be attributed to increasing investments in artificial intelligence by companies such as Google, Microsoft, IBM, and Facebook. These companies are making significant investments in order to accelerate their products for end-users. For instance, In January 2018, Google Inc., along with other technology giants from around the world launched a new open-source project called TensorFlow Lite that enables machine learning on mobile devices with minimal compute resources. This initiative was taken so that AI applications don’t need beefy servers to run on mobile phones or tablets.
Growth Factors:
- Increasing demand for AI-enabled devices: The increasing demand for AI-enabled devices is one of the major growth drivers for the AI accelerator chip market. With the advent of new technologies such as 5G and edge computing, there is an increasing demand for processors that can handle heavy workloads and enable faster execution of AI algorithms. This is expected to drive the growth of the AI accelerator chip market in the coming years.
- Growing adoption of deep learning: Deep learning is a subfield of machine learning that uses neural networks to learn patterns in data. It has emerged as one of the most popular methods for training artificial intelligence models due to its ability to achieve better accuracy than traditional machine learning algorithms. The growing adoption of deep learning is expected to drive demand for AI accelerator chips in the coming years.
- Proliferation of big data: Big data refers to datasets that are too large or complex for traditional processing methods, making it difficult or impossible to use standard tools and applications like SQL databases or Excel sheets . To address this challenge, organizations are increasingly turning towards big data analytics solutions that can help them make sense outof all this data . The proliferationof bigdataisexpectedtodrivethegrowthoftheAIacceleratorchipmarketinthecomingyears .
Scope Of The Report
Report Attributes
Report Details
Report Title
AI Accelerator Chip Market Research Report
By Type
GPU, FPGA, ASIC, Others
By Application
Automotive, Consumer Electronics, Healthcare, Manufacturing, Others
By Companies
Nvidia, Cadence, AMD, Intel, Xilinx, Samsung Electronics, Micron Technology, Qualcomm, IBM, Google, Nvidia, Huawei Technologies, Mellanox Technologies
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
248
Number of Tables & Figures
174
Customization Available
Yes, the report can be customized as per your need.
Global AI Accelerator Chip Market Report Segments:
The global AI Accelerator Chip market is segmented on the basis of:
Types
GPU, FPGA, ASIC, Others
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Automotive, Consumer Electronics, Healthcare, Manufacturing, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Nvidia
- Cadence
- AMD
- Intel
- Xilinx
- Samsung Electronics
- Micron Technology
- Qualcomm
- IBM
- Google
- Nvidia
- Huawei Technologies
- Mellanox Technologies
Highlights of The AI Accelerator Chip Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- GPU
- FPGA
- ASIC
- Others
- By Application:
- Automotive
- Consumer Electronics
- Healthcare
- Manufacturing
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI Accelerator Chip Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
An AI Accelerator Chip is a chip that can help speed up the processing of artificial intelligence tasks. This can be helpful in areas such as facial recognition, natural language processing, and machine learning.
Some of the major players in the ai accelerator chip market are Nvidia, Cadence, AMD, Intel, Xilinx, Samsung Electronics, Micron Technology, Qualcomm, IBM, Google, Nvidia, Huawei Technologies, Mellanox Technologies.
The ai accelerator chip market is expected to grow at a compound annual growth rate of 25%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI Accelerator Chip Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 AI Accelerator Chip Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI Accelerator Chip Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the AI Accelerator Chip Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global AI Accelerator Chip Market Size & Forecast, 2018-2028
4.5.1 AI Accelerator Chip Market Size and Y-o-Y Growth
4.5.2 AI Accelerator Chip Market Absolute $ Opportunity
Chapter 5 Global AI Accelerator Chip Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 AI Accelerator Chip Market Size Forecast by Type
5.2.1 GPU
5.2.2 FPGA
5.2.3 ASIC
5.2.4 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI Accelerator Chip Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 AI Accelerator Chip Market Size Forecast by Applications
6.2.1 Automotive
6.2.2 Consumer Electronics
6.2.3 Healthcare
6.2.4 Manufacturing
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI Accelerator Chip Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 AI Accelerator Chip Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America AI Accelerator Chip Analysis and Forecast
9.1 Introduction
9.2 North America AI Accelerator Chip Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America AI Accelerator Chip Market Size Forecast by Type
9.6.1 GPU
9.6.2 FPGA
9.6.3 ASIC
9.6.4 Others
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America AI Accelerator Chip Market Size Forecast by Applications
9.10.1 Automotive
9.10.2 Consumer Electronics
9.10.3 Healthcare
9.10.4 Manufacturing
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe AI Accelerator Chip Analysis and Forecast
10.1 Introduction
10.2 Europe AI Accelerator Chip Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe AI Accelerator Chip Market Size Forecast by Type
10.6.1 GPU
10.6.2 FPGA
10.6.3 ASIC
10.6.4 Others
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe AI Accelerator Chip Market Size Forecast by Applications
10.10.1 Automotive
10.10.2 Consumer Electronics
10.10.3 Healthcare
10.10.4 Manufacturing
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific AI Accelerator Chip Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI Accelerator Chip Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific AI Accelerator Chip Market Size Forecast by Type
11.6.1 GPU
11.6.2 FPGA
11.6.3 ASIC
11.6.4 Others
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific AI Accelerator Chip Market Size Forecast by Applications
11.10.1 Automotive
11.10.2 Consumer Electronics
11.10.3 Healthcare
11.10.4 Manufacturing
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America AI Accelerator Chip Analysis and Forecast
12.1 Introduction
12.2 Latin America AI Accelerator Chip Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America AI Accelerator Chip Market Size Forecast by Type
12.6.1 GPU
12.6.2 FPGA
12.6.3 ASIC
12.6.4 Others
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America AI Accelerator Chip Market Size Forecast by Applications
12.10.1 Automotive
12.10.2 Consumer Electronics
12.10.3 Healthcare
12.10.4 Manufacturing
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) AI Accelerator Chip Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI Accelerator Chip Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) AI Accelerator Chip Market Size Forecast by Type
13.6.1 GPU
13.6.2 FPGA
13.6.3 ASIC
13.6.4 Others
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) AI Accelerator Chip Market Size Forecast by Applications
13.10.1 Automotive
13.10.2 Consumer Electronics
13.10.3 Healthcare
13.10.4 Manufacturing
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 AI Accelerator Chip Market: Competitive Dashboard
14.2 Global AI Accelerator Chip Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Nvidia
14.3.2 Cadence
14.3.3 AMD
14.3.4 Intel
14.3.5 Xilinx
14.3.6 Samsung Electronics
14.3.7 Micron Technology
14.3.8 Qualcomm
14.3.9 IBM
14.3.10 Google
14.3.11 Nvidia
14.3.12 Huawei Technologies
14.3.13 Mellanox Technologies
