Market Overview:
The global processors for AI acceleration market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for AI-enabled devices and applications, rising adoption of deep learning technology, and growing investments in R&D activities for developing advanced processors. Based on type, the global processors for AI acceleration market is segmented into application processors, automotive SoCs, GPUs, consumer co-processors, and ultra-low-power processors. The application processor segment is expected to hold the largest share of the global market during the forecast period. This can be attributed to the increasing demand for high performance and power efficient application processors in smartphones and other portable devices. Based on application, the global processors for AI acceleration market is segmented into autopilot systems, military robots, agricultural robots voice control systems MT (machine translation) industrial robot health care applications etc.
Product Definition:
Processors for AI acceleration are important because they can help to speed up the execution of AI algorithms. This is important because the faster an algorithm can execute, the more quickly it can learn from data.
Application Processors:
Application processors are a class of Field-Programmable Gate Arrays (FPGAs) that implement optimized algorithms to accelerate specific tasks or processes in an application. They can be used for general-purpose computing as well as for accelerating certain applications that require high computational power. Application processors are designed and optimized to deliver peak performance under various workloads, including deep learning, HPC, and video & image processing.
Automotive SoC:
SoC stands for System on Chip and it is a combination of hardware and software components that work together to perform specific tasks. In the case of automotive, these systems are used in processors that are used in Advanced Driver Assistance Systems (ADAS) such as Adaptive Cruise Control (ACC), Blind Spot Detection (BSD), park assist, lane departure warning system etc.
Application Insights:
The market is segmented by application into military robot, agricultural robot, industrial robot, autopilot, voice control MT and other robots. The military robots segment dominated the market in 2017 and is expected to maintain its dominance over the forecast period. This can be attributed to increasing spending on robotics research & development by various countries across the world. For instance, in 2016 Russia announced a plan for developing a domestic AI-based robotic system which would enable its citizens to sever ties with computers and use machines as servants of humanity. Such initiatives are anticipated to drive demand for global processors for AI acceleration over the coming years.
The automotive SoC segment accounted for more than 20% of overall revenue share in 2017 owing to growing demand from automotive manufacturers such as Google who are using these chipsets within self-driving cars projects such as TAI (Tensor Processing Unit).
Regional Analysis:
The market in North America accounted for the largest share in 2016 owing to the presence of a large number of key companies such as Intel Corporation, Qualcomm Technologies Inc., and Google LLC. Moreover, increasing investments by governments for building smart cities are expected to drive demand over the forecast period. The U.S. government is encouraging adoption of automated systems through tax benefits and rebates on installed systems (also known as Digital dividends). Europe also held a significant share in 2016 due to growing investments by automotive manufacturers such as BMW Group and Volvo Car Corp.
Asia Pacific is anticipated to grow at an exponential rate over the forecast period owing to rising demand from countries such as China, Japan, South Korea, Singapore among others that have adopted digital transformation very early than other countries thus making them technologically advanced compared with other regions across the globe.
Growth Factors:
- Increasing demand for AI-enabled devices and services
- Rapid increase in data generation and its various applications
- Proliferation of cloud-based services and big data analytics
- Emergence of new processor architectures specifically designed for AI acceleration
- Growing number of startups focused on developing innovative AI processors
Scope Of The Report
Report Attributes
Report Details
Report Title
Processors for AI Acceleration Market Research Report
By Type
Application Processors, Automotive SoC, GPU, Consumer co-processors, Ultra-low-power
By Application
Autopilot, Military Robot, Agricultural Robot, Voice Control, MT, Industrial Robot, Health Care
By Companies
Intel, NXP Semiconductors, XMOS, Texas Instruments, Nvidia, Kneron Inc, Gyrfalcon Technology Inc, Eta Compute Inc, Syntiant Corp, GreenWaves 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
179
Number of Tables & Figures
126
Customization Available
Yes, the report can be customized as per your need.
Global Processors for AI Acceleration Market Report Segments:
The global Processors for AI Acceleration market is segmented on the basis of:
Types
Application Processors, Automotive SoC, GPU, Consumer co-processors, Ultra-low-power
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
Autopilot, Military Robot, Agricultural Robot, Voice Control, MT, Industrial Robot, Health Care
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:
- Intel
- NXP Semiconductors
- XMOS
- Texas Instruments
- Nvidia
- Kneron Inc
- Gyrfalcon Technology Inc
- Eta Compute Inc
- Syntiant Corp
- GreenWaves Technologies
Highlights of The Processors for AI Acceleration 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:
- Application Processors
- Automotive SoC
- GPU
- Consumer co-processors
- Ultra-low-power
- By Application:
- Autopilot
- Military Robot
- Agricultural Robot
- Voice Control
- MT
- Industrial Robot
- Health Care
- 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 Processors for AI Acceleration 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?
Processors for AI acceleration are special processors that can be used to speed up the performance of artificial intelligence algorithms.
Some of the major companies in the processors for ai acceleration market are Intel, NXP Semiconductors, XMOS, Texas Instruments, Nvidia, Kneron Inc, Gyrfalcon Technology Inc, Eta Compute Inc, Syntiant Corp, GreenWaves Technologies.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Processors for AI Acceleration 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 Processors for AI Acceleration Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Processors for AI Acceleration 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 Processors for AI Acceleration 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 Processors for AI Acceleration Market Size & Forecast, 2020-2028
4.5.1 Processors for AI Acceleration Market Size and Y-o-Y Growth
4.5.2 Processors for AI Acceleration Market Absolute $ Opportunity
Chapter 5 Global 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 Market Size Forecast by Type
5.2.1 Application Processors
5.2.2 Automotive SoC
5.2.3 GPU
5.2.4 Consumer co-processors
5.2.5 Ultra-low-power
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global 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 Market Size Forecast by Applications
6.2.1 Autopilot
6.2.2 Military Robot
6.2.3 Agricultural Robot
6.2.4 Voice Control
6.2.5 MT
6.2.6 Industrial Robot
6.2.7 Health Care
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Processors for AI Acceleration 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 Processors for AI Acceleration 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 Analysis and Forecast
9.1 Introduction
9.2 North America 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 Market Size Forecast by Type
9.6.1 Application Processors
9.6.2 Automotive SoC
9.6.3 GPU
9.6.4 Consumer co-processors
9.6.5 Ultra-low-power
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 Market Size Forecast by Applications
9.10.1 Autopilot
9.10.2 Military Robot
9.10.3 Agricultural Robot
9.10.4 Voice Control
9.10.5 MT
9.10.6 Industrial Robot
9.10.7 Health Care
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 Analysis and Forecast
10.1 Introduction
10.2 Europe 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 Market Size Forecast by Type
10.6.1 Application Processors
10.6.2 Automotive SoC
10.6.3 GPU
10.6.4 Consumer co-processors
10.6.5 Ultra-low-power
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 Market Size Forecast by Applications
10.10.1 Autopilot
10.10.2 Military Robot
10.10.3 Agricultural Robot
10.10.4 Voice Control
10.10.5 MT
10.10.6 Industrial Robot
10.10.7 Health Care
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 Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific 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 Market Size Forecast by Type
11.6.1 Application Processors
11.6.2 Automotive SoC
11.6.3 GPU
11.6.4 Consumer co-processors
11.6.5 Ultra-low-power
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 Market Size Forecast by Applications
11.10.1 Autopilot
11.10.2 Military Robot
11.10.3 Agricultural Robot
11.10.4 Voice Control
11.10.5 MT
11.10.6 Industrial Robot
11.10.7 Health Care
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 Analysis and Forecast
12.1 Introduction
12.2 Latin America 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 Market Size Forecast by Type
12.6.1 Application Processors
12.6.2 Automotive SoC
12.6.3 GPU
12.6.4 Consumer co-processors
12.6.5 Ultra-low-power
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 Market Size Forecast by Applications
12.10.1 Autopilot
12.10.2 Military Robot
12.10.3 Agricultural Robot
12.10.4 Voice Control
12.10.5 MT
12.10.6 Industrial Robot
12.10.7 Health Care
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) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) 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) Market Size Forecast by Type
13.6.1 Application Processors
13.6.2 Automotive SoC
13.6.3 GPU
13.6.4 Consumer co-processors
13.6.5 Ultra-low-power
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) Market Size Forecast by Applications
13.10.1 Autopilot
13.10.2 Military Robot
13.10.3 Agricultural Robot
13.10.4 Voice Control
13.10.5 MT
13.10.6 Industrial Robot
13.10.7 Health Care
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 Processors for AI Acceleration Market: Competitive Dashboard
14.2 Global Processors for AI Acceleration Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Intel
14.3.2 NXP Semiconductors
14.3.3 XMOS
14.3.4 Texas Instruments
14.3.5 Nvidia
14.3.6 Kneron Inc
14.3.7 Gyrfalcon Technology Inc
14.3.8 Eta Compute Inc
14.3.9 Syntiant Corp
14.3.10 GreenWaves Technologies
