Market Overview:
The global AI based edge computing chip market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for AI-based edge computing chips in various applications such as smart manufacturing, smart home, smart retail, and others. Moreover, the growing adoption of 5G technology is also expected to fuel the growth of this market during the forecast period. However, lack of awareness about AI-based edge computing chips among end users may restrain the growth of this market during the forecast period.
Product Definition:
An AI-based edge computing chip is a type of microprocessor designed for edge devices that use artificial intelligence (AI). These chips are specifically designed to handle the demands of running AI algorithms and applications on IoT devices and other edge systems. Edge devices are becoming increasingly important as more and more data is generated outside of centralized data centers. The growth of AI-based edge computing chips can be seen as an attempt by chipmakers to get a piece of this growing market.
The importance of AI-based edge computing chips lies in the fact that they can help to address some key challenges associated with deploying artificial intelligence at the edge. One such challenge is dealing with the large amounts of data that need to be processed in order to enable real-time decision making. Another challenge is ensuring that devices have enough processing power to handle complex AI algorithms without bogging down or overloading their limited resources.
12nm:
12nm is a micro-architectural term that refers to the diameter of a single carbon atom. It is an extremely small and thin measurement, often used in reference to semiconductor devices or chips. The smaller the better; 12 nm should be as small as possible while still providing adequate performance for its intended use.
16nm:
16nm is a micro-architectural design that was introduced by Intel Corporation in their core processors. The term 16 nm means the size of a single atom which is 1/10,000th of a meter. It was initially used for fabricating ultra-small feature sizes such as those found in nanometer range but now it has been extended to cover also small circuit designing such as having billionths of transistors and other electronic components.
Application Insights:
The application segment has been further categorized into seven sub-segments, namely smart manufacturing, smart home, smart retail, smart transportation, financial services and medical care (finance), industrial internet of things (IIoT), and others. The growth of the financial sector is largely dependent on the availability of advanced technologies such as big data analytics to extract meaningful insights from data collected by various systems within banks and other financial institutions. This has led to an increased focus on edge computing chips that can process vast amounts of data more efficiently for making better decisions regarding investments or loans.
The growing adoption of IoT across several industries including automotive & transport; healthcare; energy; building & construction; consumer electronics) is expected to drive demand for AI based edge computing chip over the forecast period.
Regional Analysis:
North America dominated the global market in 2017. North America has been a hub for technological advancements and this trend is expected to continue over the forecast period. The U.S., being one of the most developed countries, has been witnessing an increasing demand for advanced technologies such as AI, IoT, and edge computing chip to improve its infrastructure and gain competitive advantage in various industries including manufacturing, retail & e-commerce, transportation & logistics etc.
Asia Pacific region is projected to witness significant growth over the next eight years owing to rising investments by prominent players in developing economies coupled with growing adoption of emerging technologies such as AI.
Growth Factors:
- Increasing demand for AI-enabled edge devices: The market for edge computing is expected to grow at a CAGR of over 31% during the forecast period. This is due to the increasing demand for AI-enabled edge devices, which can process and act on data near the source, instead of sending it all the way to centralized data centers.
- Proliferation of 5G networks: 5G networks are expected to play a major role in driving growth in the market for AI-enabled edge devices. They will provide faster speeds and lower latency, making it possible to process more data at the edge and improve response times.
- Growing popularity of IoT applications: The growing popularity of IoT applications is another key driver for growth in the market for AI-enabled edge devices. These applications generate huge volumes of data that need to be processed quickly and efficiently, which can be best achieved by using processors that are optimized specifically for this task.
Scope Of The Report
Report Attributes
Report Details
Report Title
AI based Edge Computing Chip Market Research Report
By Type
12nm, 16nm, Others
By Application
Smart Manufacturing, Smart Home, Smart Retail, Smart Transportation, Smart Finance, Smart Medical, Smart Driving, Other
By Companies
Cambricon, Nvidia, Huawei Hisilicon, Horizon Robotics, ARM, Intel
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
177
Number of Tables & Figures
124
Customization Available
Yes, the report can be customized as per your need.
Global AI based Edge Computing Chip Market Report Segments:
The global AI based Edge Computing Chip market is segmented on the basis of:
Types
12nm, 16nm, 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
Smart Manufacturing, Smart Home, Smart Retail, Smart Transportation, Smart Finance, Smart Medical, Smart Driving, Other
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:
- Cambricon
- Nvidia
- Huawei Hisilicon
- Horizon Robotics
- ARM
- Intel
Highlights of The AI based Edge Computing 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:
- 12nm
- 16nm
- Others
- By Application:
- Smart Manufacturing
- Smart Home
- Smart Retail
- Smart Transportation
- Smart Finance
- Smart Medical
- Smart Driving
- Other
- 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 based Edge Computing 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.
How you may use our products:
- Correctly Positioning New Products
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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-based edge computing chip is a chip that can be used to speed up the processing of data that is located near the edge of a network. This type of chip can be used to process data from sensors, cameras, and other devices that are located close to the network's edges.
Some of the major companies in the ai based edge computing chip market are Cambricon, Nvidia, Huawei Hisilicon, Horizon Robotics, ARM, Intel.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI based Edge Computing 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 based Edge Computing Chip Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI based Edge Computing 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 based Edge Computing 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 based Edge Computing Chip Market Size & Forecast, 2018-2028
4.5.1 AI based Edge Computing Chip Market Size and Y-o-Y Growth
4.5.2 AI based Edge Computing Chip Market Absolute $ Opportunity
Chapter 5 Global AI based Edge Computing 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 based Edge Computing Chip Market Size Forecast by Type
5.2.1 12nm
5.2.2 16nm
5.2.3 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI based Edge Computing 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 based Edge Computing Chip Market Size Forecast by Applications
6.2.1 Smart Manufacturing
6.2.2 Smart Home
6.2.3 Smart Retail
6.2.4 Smart Transportation
6.2.5 Smart Finance
6.2.6 Smart Medical
6.2.7 Smart Driving
6.2.8 Other
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI based Edge Computing 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 based Edge Computing 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 based Edge Computing Chip Analysis and Forecast
9.1 Introduction
9.2 North America AI based Edge Computing 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 based Edge Computing Chip Market Size Forecast by Type
9.6.1 12nm
9.6.2 16nm
9.6.3 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 based Edge Computing Chip Market Size Forecast by Applications
9.10.1 Smart Manufacturing
9.10.2 Smart Home
9.10.3 Smart Retail
9.10.4 Smart Transportation
9.10.5 Smart Finance
9.10.6 Smart Medical
9.10.7 Smart Driving
9.10.8 Other
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 based Edge Computing Chip Analysis and Forecast
10.1 Introduction
10.2 Europe AI based Edge Computing 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 based Edge Computing Chip Market Size Forecast by Type
10.6.1 12nm
10.6.2 16nm
10.6.3 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 based Edge Computing Chip Market Size Forecast by Applications
10.10.1 Smart Manufacturing
10.10.2 Smart Home
10.10.3 Smart Retail
10.10.4 Smart Transportation
10.10.5 Smart Finance
10.10.6 Smart Medical
10.10.7 Smart Driving
10.10.8 Other
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 based Edge Computing Chip Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI based Edge Computing 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 based Edge Computing Chip Market Size Forecast by Type
11.6.1 12nm
11.6.2 16nm
11.6.3 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 based Edge Computing Chip Market Size Forecast by Applications
11.10.1 Smart Manufacturing
11.10.2 Smart Home
11.10.3 Smart Retail
11.10.4 Smart Transportation
11.10.5 Smart Finance
11.10.6 Smart Medical
11.10.7 Smart Driving
11.10.8 Other
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 based Edge Computing Chip Analysis and Forecast
12.1 Introduction
12.2 Latin America AI based Edge Computing 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 based Edge Computing Chip Market Size Forecast by Type
12.6.1 12nm
12.6.2 16nm
12.6.3 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 based Edge Computing Chip Market Size Forecast by Applications
12.10.1 Smart Manufacturing
12.10.2 Smart Home
12.10.3 Smart Retail
12.10.4 Smart Transportation
12.10.5 Smart Finance
12.10.6 Smart Medical
12.10.7 Smart Driving
12.10.8 Other
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 based Edge Computing Chip Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI based Edge Computing 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 based Edge Computing Chip Market Size Forecast by Type
13.6.1 12nm
13.6.2 16nm
13.6.3 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 based Edge Computing Chip Market Size Forecast by Applications
13.10.1 Smart Manufacturing
13.10.2 Smart Home
13.10.3 Smart Retail
13.10.4 Smart Transportation
13.10.5 Smart Finance
13.10.6 Smart Medical
13.10.7 Smart Driving
13.10.8 Other
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 based Edge Computing Chip Market: Competitive Dashboard
14.2 Global AI based Edge Computing Chip Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Cambricon
14.3.2 Nvidia
14.3.3 Huawei Hisilicon
14.3.4 Horizon Robotics
14.3.5 ARM
14.3.6 Intel
