Market Overview:
Edge computing is a type of computing that performs certain tasks or functions at the edge of a network, as close to the source of data as possible. Edge terminals are devices that provide an interface to users and other edge devices in an edge network. Edge servers are devices that provide services to applications and users in an edge network. The global market for AI chips used in edge computing is expected to grow at a CAGR of 31.5% from 2018 to 2030.
Product Definition:
Edge Computing AI Chips are a type of computer chip that is specifically designed for use in edge computing applications. These chips are important because they can help to improve the performance and efficiency of edge computing applications by allowing them to process data locally, rather than sending it all the way back to a central data center. This can help to improve the speed and responsiveness of these applications, as well as reduce the amount of data that needs to be transmitted.
Edge Terminal Equipment Chip:
Edge terminal equipment chip is a type of System on Chip (SoC) that is used in mobile devices and computers to provide enhanced data rates for LTE, 5G New Radio (NR), and third-generation wireless technologies. The Edge Teneance Equipment Chip enables high-speed communication between the device and the cloud with minimum power consumption. It also helps in reducing latency during transmission thereby enhancing user experience.
Edge Server Chip:
Edge Server Chip is a specialized integrated circuit (IC) designed for processing data in the form of packets, which are sent to and received from a client device via an internet connection. The Edge Server Chip helps in reducing latency by eliminating the need for transferring data over the network via traditional servers.
The edge server chip acts as an intermediary between the end-user application and cloud service provider; it processes information at high speed.
Application Insights:
The application segment is segregated into seven sub-segments, namely smart manufacturing, smart home, smart logistics and farming, internet of vehicles (IoV), energy facility monitoring, security prevention and control. In 2017 the industry witnessed tremendous growth with the emergence of edge computing AI chips in various end-use industries such as healthcare IT/Telecom; transportation; industrial IoT; BFSI; retail and others. The growing adoption across these sectors can be attributed to enhanced performance enhancement services along with advanced functionalities offered by these AI chips.
The edge computing AI chip market has witnessed significant growth over the past few years owing to its rising penetration in various applications such as healthcare IT/Telecom; transportation & logistics where it is used for predictive maintenance solutions thereby contributing towards a substantial reduction in operating costs while enhancing overall performance reliability. These factors are anticipated to contribute towards a lucrative market size during the forecast period.
Regional Analysis:
North America dominated the market in terms of revenue share in 2017. The growth can be attributed to the presence of a large number of edge computing AI chip manufacturers and solution providers, such as Intel Corporation; Qualcomm Technologies Inc.; Google LLC; and others. Moreover, North America is home to several key industry participants with extensive experience in developing innovative edge computing AI chips solutions for various applications.
Asia Pacific region is expected to witness significant growth over the forecast period owing to increasing demand from end-use industries for smart connected devices coupled with rising investments by prominent players for expanding their business operations across this region.
Growth Factors:
- Increasing demand for edge computing in various industries such as automotive, retail, and logistics
- Growing popularity of AI-enabled devices and services
- Proliferation of 5G networks that will support higher data rates and lower latency for edge applications
- Emergence of new compute architectures such as FPGAs and ASICs that are well-suited for edge deployments
- Development of innovative applications that require low latency or real-time processing
Scope Of The Report
Report Attributes
Report Details
Report Title
Edge Computing AI Chips Market Research Report
By Type
Edge Terminal Equipment Chip, Edge Server Chip
By Application
Smart Manufacturing, Smart Home, Smart Logistics, Smart Farm, Internet of Vehicles, Energy Facility Monitoring, Security Prevention and Control
By Companies
Nvidia, Huawei, Qualcomm, Google, Arm Holdings, Intel, Nvidia
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
181
Number of Tables & Figures
127
Customization Available
Yes, the report can be customized as per your need.
Global Edge Computing AI Chips Market Report Segments:
The global Edge Computing AI Chips market is segmented on the basis of:
Types
Edge Terminal Equipment Chip, Edge Server Chip
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 Logistics, Smart Farm, Internet of Vehicles, Energy Facility Monitoring, Security Prevention and Control
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
- Huawei
- Qualcomm
- Google
- Arm Holdings
- Intel
- Nvidia
Highlights of The Edge Computing AI Chips 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:
- Edge Terminal Equipment Chip
- Edge Server Chip
- By Application:
- Smart Manufacturing
- Smart Home
- Smart Logistics
- Smart Farm
- Internet of Vehicles
- Energy Facility Monitoring
- Security Prevention and Control
- 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 Edge Computing AI Chips 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?
Edge Computing AI Chips are chips that can be installed on devices like smartphones and laptops to help with the processing of artificial intelligence (AI) tasks. They can be used to speed up the processing of certain AI tasks, such as image recognition or natural language processing.
Some of the major companies in the edge computing ai chips market are Nvidia, Huawei, Qualcomm, Google, Arm Holdings, Intel, Nvidia.
The edge computing ai chips market is expected to register a CAGR of 31.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Edge Computing AI Chips 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 Edge Computing AI Chips Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Edge Computing AI Chips 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 Edge Computing AI Chips 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 Edge Computing AI Chips Market Size & Forecast, 2018-2028
4.5.1 Edge Computing AI Chips Market Size and Y-o-Y Growth
4.5.2 Edge Computing AI Chips Market Absolute $ Opportunity
Chapter 5 Global Edge Computing AI Chips 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 Edge Computing AI Chips Market Size Forecast by Type
5.2.1 Edge Terminal Equipment Chip
5.2.2 Edge Server Chip
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Edge Computing AI Chips 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 Edge Computing AI Chips Market Size Forecast by Applications
6.2.1 Smart Manufacturing
6.2.2 Smart Home
6.2.3 Smart Logistics
6.2.4 Smart Farm
6.2.5 Internet of Vehicles
6.2.6 Energy Facility Monitoring
6.2.7 Security Prevention and Control
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Edge Computing AI Chips 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 Edge Computing AI Chips 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 Edge Computing AI Chips Analysis and Forecast
9.1 Introduction
9.2 North America Edge Computing AI Chips 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 Edge Computing AI Chips Market Size Forecast by Type
9.6.1 Edge Terminal Equipment Chip
9.6.2 Edge Server Chip
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 Edge Computing AI Chips Market Size Forecast by Applications
9.10.1 Smart Manufacturing
9.10.2 Smart Home
9.10.3 Smart Logistics
9.10.4 Smart Farm
9.10.5 Internet of Vehicles
9.10.6 Energy Facility Monitoring
9.10.7 Security Prevention and Control
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 Edge Computing AI Chips Analysis and Forecast
10.1 Introduction
10.2 Europe Edge Computing AI Chips 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 Edge Computing AI Chips Market Size Forecast by Type
10.6.1 Edge Terminal Equipment Chip
10.6.2 Edge Server Chip
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 Edge Computing AI Chips Market Size Forecast by Applications
10.10.1 Smart Manufacturing
10.10.2 Smart Home
10.10.3 Smart Logistics
10.10.4 Smart Farm
10.10.5 Internet of Vehicles
10.10.6 Energy Facility Monitoring
10.10.7 Security Prevention and Control
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 Edge Computing AI Chips Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Edge Computing AI Chips 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 Edge Computing AI Chips Market Size Forecast by Type
11.6.1 Edge Terminal Equipment Chip
11.6.2 Edge Server Chip
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 Edge Computing AI Chips Market Size Forecast by Applications
11.10.1 Smart Manufacturing
11.10.2 Smart Home
11.10.3 Smart Logistics
11.10.4 Smart Farm
11.10.5 Internet of Vehicles
11.10.6 Energy Facility Monitoring
11.10.7 Security Prevention and Control
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 Edge Computing AI Chips Analysis and Forecast
12.1 Introduction
12.2 Latin America Edge Computing AI Chips 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 Edge Computing AI Chips Market Size Forecast by Type
12.6.1 Edge Terminal Equipment Chip
12.6.2 Edge Server Chip
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 Edge Computing AI Chips Market Size Forecast by Applications
12.10.1 Smart Manufacturing
12.10.2 Smart Home
12.10.3 Smart Logistics
12.10.4 Smart Farm
12.10.5 Internet of Vehicles
12.10.6 Energy Facility Monitoring
12.10.7 Security Prevention and Control
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) Edge Computing AI Chips Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Edge Computing AI Chips 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) Edge Computing AI Chips Market Size Forecast by Type
13.6.1 Edge Terminal Equipment Chip
13.6.2 Edge Server Chip
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) Edge Computing AI Chips Market Size Forecast by Applications
13.10.1 Smart Manufacturing
13.10.2 Smart Home
13.10.3 Smart Logistics
13.10.4 Smart Farm
13.10.5 Internet of Vehicles
13.10.6 Energy Facility Monitoring
13.10.7 Security Prevention and Control
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 Edge Computing AI Chips Market: Competitive Dashboard
14.2 Global Edge Computing AI Chips Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Nvidia
14.3.2 Huawei
14.3.3 Qualcomm
14.3.4 Google
14.3.5 Arm Holdings
14.3.6 Intel
14.3.7 Nvidia
