Selected research
Market Structure
Global AI based Edge Computing Chip Market by Size, by Type, by Application, by Region, History and Forecast 2021-2032
Market perspective
The global AI based Edge Computing Chip market is projected to grow from US$ million in 2026 to US$ million by 2032, implying a CAGR of % over 2026-2032.
The US & Canada market for AI based Edge Computing Chip is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
The Europe market for AI based Edge Computing Chip is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Read the full market overview
The Asia Pacific market for AI based Edge Computing Chip is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
The China market for AI based Edge Computing Chip is projected to increase from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026-2032.
Leading global manufacturers of AI based Edge Computing Chip include Nvidia, Intel, Xilinx, Samsung Electronics, Micron Technology, Qualcomm Technologies, IBM, Google and Microsoft, among others. In 2025, the top three vendors together accounted for approximately % of global revenue.
On the production side, the report examines AI based Edge Computing Chip output, growth rates, and market shares by manufacturer and by region (at regional and country level) for 2021-2026, with forecasts through 2032.
On the consumption side, the report analyzes sales of AI based Edge Computing Chip by region (regional and country level), company, type, and application for 2021-2026 and provides forecasts through 2032.
The report provides an overview of the global AI based Edge Computing Chip market in terms of capacity, output, revenue, and price, analyzing global market trends using historical revenue and sales data for 2021-2025, estimates for 2026, and projected CAGRs through 2032.
The study covers key producers of AI based Edge Computing Chip and consumption patterns in major regions and countries, assesses future market potential, and highlights priority regions and countries for segmenting the market into sub-sectors, with country-specific market value data for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, the Middle East, Africa, and other countries.
The report also presents AI based Edge Computing Chip sales, revenue, market share, and industry ranking for the main manufacturers for 2021-2026, identifies the major stakeholders in the global market, and analyzes their competitive landscape and market positioning based on recent developments and segmental revenues.
In addition, the report analyzes segment data by type and application—covering sales, revenue, and price—for 2021-2032, and evaluates and forecasts the AI based Edge Computing Chip market size, projected growth trends, production technologies, key applications, and end-use industries.
AI based Edge Computing Chip Segment by Company
Nvidia
Intel
Xilinx
Samsung Electronics
Micron Technology
Qualcomm Technologies
IBM
Microsoft
Apple
Huawei
Cambricon
AI based Edge Computing Chip Segment by Type
12nm
16nm
Others
AI based Edge Computing Chip Segment by Application
Smart Manufacturing
Smart Home
Smart Retail
Smart Transportation
Smart Finance
Smart Medical
Smart Driving
Other
AI based Edge Computing Chip Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving, production, value, consumption, growth rate (CAGR), market share, historical and forecast.
2. To present the key manufacturers, capacity, production, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI based Edge Computing Chip market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI based Edge Computing Chip and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI based Edge Computing Chip.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Provides an overview of the AI based Edge Computing Chip market, including product definition, global market growth prospects, production value, capacity, and average price forecasts (2021-2032).
Chapter 2: Analysis key trends, drivers, challenges, and opportunities within the global AI based Edge Computing Chip industry.
Chapter 3: Detailed analysis of AI based Edge Computing Chip market competition landscape. Including AI based Edge Computing Chip manufacturers' output value, output and average price from 2021 to 2026, as well as competition analysis indicators such as origin, product type, application, merger and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product production/output, value, price, gross margin, product introduction, recent development, etc.
Chapter 7: Production/Production Value of AI based Edge Computing Chip by region. It provides a quantitative analysis of the market size and development potential of each region in the next six years.
Chapter 8: Consumption of AI based Edge Computing Chip in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and production of each country in the world.
Chapter 9: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 10: Concluding Insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- 12nm
- 16nm
- Others
Applications
- Smart Manufacturing
- Smart Home
- Smart Retail
- Smart Transportation
- Smart Finance
- Smart Medical
- Smart Driving
- Other
Companies covered
- Nvidia
- Intel
- Xilinx
- Samsung Electronics
- Micron Technology
- Qualcomm Technologies
- IBM
- Microsoft
- Apple
- Huawei
- Cambricon
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Global Market Growth Prospects
- 1.2.1 Global AI based Edge Computing Chip Production Value Estimates and Forecasts (2021-2032)
- 1.2.2 Global AI based Edge Computing Chip Production Capacity Estimates and Forecasts (2021-2032)
- 1.2.3 Global AI based Edge Computing Chip Production Estimates and Forecasts (2021-2032)
- 1.2.4 Global AI based Edge Computing Chip Market Average Price (2021-2032)
- 1.3 Assumptions and Limitations
- 1.4 Study Goals and Objectives
2 Global AI based Edge Computing Chip Market Dynamics
- 2.1 AI based Edge Computing Chip Industry Trends
- 2.2 AI based Edge Computing Chip Industry Drivers
- 2.3 AI based Edge Computing Chip Industry Opportunities and Challenges
- 2.4 AI based Edge Computing Chip Industry Restraints
3 AI based Edge Computing Chip Market by Manufacturers
- 3.1 Global AI based Edge Computing Chip Production Value by Manufacturers (2021-2026)
- 3.2 Global AI based Edge Computing Chip Production by Manufacturers (2021-2026)
- 3.3 Global AI based Edge Computing Chip Average Price by Manufacturers (2021-2026)
- 3.4 Global AI based Edge Computing Chip Industry Manufacturers Ranking, 2024 VS 2025 VS 2026
- 3.5 Global AI based Edge Computing Chip Key Manufacturers Manufacturing Sites & Headquarters
- 3.6 Global AI based Edge Computing Chip Manufacturers, Product Type & Application
- 3.7 Global AI based Edge Computing Chip Manufacturers Established Date
- 3.8 Market Competitive Analysis
- 3.8.1 Global AI based Edge Computing Chip Market CR5 and HHI
- 3.8.2 Global Top 5 and 10 AI based Edge Computing Chip Players Market Share by Production Value in 2025
- 3.8.3 2025 AI based Edge Computing Chip Tier 1, Tier 2, and Tier 3
4 AI based Edge Computing Chip Market by Type
- 4.1 AI based Edge Computing Chip Type Introduction
- 4.1.1 12nm
- 4.1.2 16nm
- 4.1.3 Others
- 4.2 Global AI based Edge Computing Chip Production by Type
- 4.2.1 Global AI based Edge Computing Chip Production by Type (2021 VS 2025 VS 2032)
- 4.2.2 Global AI based Edge Computing Chip Production by Type (2021-2032)
- 4.2.3 Global AI based Edge Computing Chip Production Market Share by Type (2021-2032)
- 4.3 Global AI based Edge Computing Chip Production Value by Type
- 4.3.1 Global AI based Edge Computing Chip Production Value by Type (2021 VS 2025 VS 2032)
- 4.3.2 Global AI based Edge Computing Chip Production Value by Type (2021-2032)
- 4.3.3 Global AI based Edge Computing Chip Production Value Market Share by Type (2021-2032)
5 AI based Edge Computing Chip Market by Application
- 5.1 AI based Edge Computing Chip Application Introduction
- 5.1.1 Smart Manufacturing
- 5.1.2 Smart Home
- 5.1.3 Smart Retail
- 5.1.4 Smart Transportation
- 5.1.5 Smart Finance
- 5.1.6 Smart Medical
- 5.1.7 Smart Driving
- 5.1.8 Other
- 5.2 Global AI based Edge Computing Chip Production by Application
- 5.2.1 Global AI based Edge Computing Chip Production by Application (2021 VS 2025 VS 2032)
- 5.2.2 Global AI based Edge Computing Chip Production by Application (2021-2032)
- 5.2.3 Global AI based Edge Computing Chip Production Market Share by Application (2021-2032)
- 5.3 Global AI based Edge Computing Chip Production Value by Application
- 5.3.1 Global AI based Edge Computing Chip Production Value by Application (2021 VS 2025 VS 2032)
- 5.3.2 Global AI based Edge Computing Chip Production Value by Application (2021-2032)
- 5.3.3 Global AI based Edge Computing Chip Production Value Market Share by Application (2021-2032)
6 Company Profiles
- 6.1 Nvidia
- 6.1.1 Nvidia Company Information
- 6.1.2 Nvidia Business Overview
- 6.1.3 Nvidia AI based Edge Computing Chip Production, Value and Gross Margin (2021-2026)
- 6.1.4 Nvidia AI based Edge Computing Chip Product Portfolio
- 6.1.5 Nvidia Recent Developments
- 6.2 Intel
- 6.2.1 Intel Company Information
- 6.2.2 Intel Business Overview
- 6.2.3 Intel AI based Edge Computing Chip Production, Value and Gross Margin (2021-2026)
- 6.2.4 Intel AI based Edge Computing Chip Product Portfolio
- 6.2.5 Intel Recent Developments
- 6.3 Xilinx
- 6.3.1 Xilinx Company Information
- 6.3.2 Xilinx Business Overview
- 6.3.3 Xilinx AI based Edge Computing Chip Production, Value and Gross Margin (2021-2026)
- 6.3.4 Xilinx AI based Edge Computing Chip Product Portfolio
- 6.3.5 Xilinx Recent Developments
- 6.4 Samsung Electronics
- 6.4.1 Samsung Electronics Company Information
- 6.4.2 Samsung Electronics Business Overview
- 6.4.3 Samsung Electronics AI based Edge Computing Chip Production, Value and Gross Margin (2021-2026)
- 6.4.4 Samsung Electronics AI based Edge Computing Chip Product Portfolio
- 6.4.5 Samsung Electronics Recent Developments
- 6.5 Micron Technology
- 6.5.1 Micron Technology Company Information
- 6.5.2 Micron Technology Business Overview
- 6.5.3 Micron Technology AI based Edge Computing Chip Production, Value and Gross Margin (2021-2026)
- 6.5.4 Micron Technology AI based Edge Computing Chip Product Portfolio
- 6.5.5 Micron Technology Recent Developments
- 6.6 Qualcomm Technologies
- 6.6.1 Qualcomm Technologies Company Information
- 6.6.2 Qualcomm Technologies Business Overview
- 6.6.3 Qualcomm Technologies AI based Edge Computing Chip Production, Value and Gross Margin (2021-2026)
- 6.6.4 Qualcomm Technologies AI based Edge Computing Chip Product Portfolio
- 6.6.5 Qualcomm Technologies Recent Developments
- 6.7 IBM
- 6.7.1 IBM Company Information
- 6.7.2 IBM Business Overview
- 6.7.3 IBM AI based Edge Computing Chip Production, Value and Gross Margin (2021-2026)
- 6.7.4 IBM AI based Edge Computing Chip Product Portfolio
- 6.7.5 IBM Recent Developments
- 6.8 Google
- 6.8.1 Google Company Information
- 6.8.2 Google Business Overview
- 6.8.3 Google AI based Edge Computing Chip Production, Value and Gross Margin (2021-2026)
- 6.8.4 Google AI based Edge Computing Chip Product Portfolio
- 6.8.5 Google Recent Developments
- 6.9 Microsoft
- 6.9.1 Microsoft Company Information
- 6.9.2 Microsoft Business Overview
- 6.9.3 Microsoft AI based Edge Computing Chip Production, Value and Gross Margin (2021-2026)
- 6.9.4 Microsoft AI based Edge Computing Chip Product Portfolio
- 6.9.5 Microsoft Recent Developments
- 6.10 Apple
- 6.10.1 Apple Company Information
- 6.10.2 Apple Business Overview
- 6.10.3 Apple AI based Edge Computing Chip Production, Value and Gross Margin (2021-2026)
- 6.10.4 Apple AI based Edge Computing Chip Product Portfolio
- 6.10.5 Apple Recent Developments
- 6.11 Huawei
- 6.11.1 Huawei Company Information
- 6.11.2 Huawei Business Overview
- 6.11.3 Huawei AI based Edge Computing Chip Production, Value and Gross Margin (2021-2026)
- 6.11.4 Huawei AI based Edge Computing Chip Product Portfolio
- 6.11.5 Huawei Recent Developments
- 6.12 Cambricon
- 6.12.1 Cambricon Company Information
- 6.12.2 Cambricon Business Overview
- 6.12.3 Cambricon AI based Edge Computing Chip Production, Value and Gross Margin (2021-2026)
- 6.12.4 Cambricon AI based Edge Computing Chip Product Portfolio
- 6.12.5 Cambricon Recent Developments
7 Global AI based Edge Computing Chip Production by Region
- 7.1 Global AI based Edge Computing Chip Production by Region: 2021 VS 2025 VS 2032
- 7.2 Global AI based Edge Computing Chip Production by Region (2021-2032)
- 7.2.1 Global AI based Edge Computing Chip Production by Region (2021-2026)
- 7.2.2 Global AI based Edge Computing Chip Production Forecast by Region (2027-2032)
- 7.3 Global AI based Edge Computing Chip Production by Region: 2021 VS 2025 VS 2032
- 7.4 Global AI based Edge Computing Chip Production Value by Region (2021-2032)
- 7.4.1 Global AI based Edge Computing Chip Production Value by Region (2021-2026)
- 7.4.2 Global AI based Edge Computing Chip Production Value by Region (2027-2032)
- 7.5 Global AI based Edge Computing Chip Market Price Analysis by Region (2021-2032)
- 7.6 Regional Production Value Trends (2021-2032)
- 7.6.1 North America AI based Edge Computing Chip Production Value (2021-2032)
- 7.6.2 Europe AI based Edge Computing Chip Production Value (2021-2032)
- 7.6.3 Asia-Pacific AI based Edge Computing Chip Production Value (2021-2032)
- 7.6.4 South America AI based Edge Computing Chip Production Value (2021-2032)
- 7.6.5 Middle East & Africa AI based Edge Computing Chip Production Value (2021-2032)
8 Global AI based Edge Computing Chip Consumption by Region
- 8.1 Global AI based Edge Computing Chip Consumption by Region: 2021 VS 2025 VS 2032
- 8.2 Global AI based Edge Computing Chip Consumption by Region (2021-2032)
- 8.2.1 Global AI based Edge Computing Chip Consumption by Region (2021-2026)
- 8.2.2 Global AI based Edge Computing Chip Consumption by Region (2027-2032)
- 8.3 North America
- 8.3.1 North America AI based Edge Computing Chip Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3.2 North America AI based Edge Computing Chip Consumption by Country (2021-2032)
- 8.3.3 U.S.
- 8.3.4 Canada
- 8.3.5 Mexico
- 8.4 Europe
- 8.4.1 Europe AI based Edge Computing Chip Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.4.2 Europe AI based Edge Computing Chip Consumption by Country (2021-2032)
- 8.4.3 Germany
- 8.4.4 France
- 8.4.5 U.K.
- 8.4.6 Italy
- 8.4.7 Netherlands
- 8.5 Asia Pacific
- 8.5.1 Asia Pacific AI based Edge Computing Chip Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.5.2 Asia Pacific AI based Edge Computing Chip Consumption by Country (2021-2032)
- 8.5.3 China
- 8.5.4 Japan
- 8.5.5 South Korea
- 8.5.6 Southeast Asia
- 8.5.7 India
- 8.5.8 Australia
- 8.6 South America
- 8.6.1 South America AI based Edge Computing Chip Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.6.2 South America AI based Edge Computing Chip Consumption by Country (2021-2032)
- 8.6.3 Brazil
- 8.6.4 Argentina
- 8.6.5 Chile
- 8.6.6 Colombia
- 8.7 Middle East & Africa
- 8.7.1 Middle East & Africa AI based Edge Computing Chip Consumption Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.7.2 Middle East & Africa AI based Edge Computing Chip Consumption by Country (2021-2032)
- 8.7.3 Egypt
- 8.7.4 South Africa
- 8.7.5 Israel
- 8.7.6 Türkiye
- 8.7.7 GCC Countries
9 Value Chain and Sales Channels Analysis
- 9.1 AI based Edge Computing Chip Value Chain Analysis
- 9.1.1 AI based Edge Computing Chip Key Raw Materials
- 9.1.2 Raw Materials Key Suppliers
- 9.1.3 Manufacturing Cost Structure
- 9.1.4 AI based Edge Computing Chip Production Mode & Process
- 9.2 AI based Edge Computing Chip Sales Channels Analysis
- 9.2.1 Direct Comparison with Distribution Share
- 9.2.2 AI based Edge Computing Chip Distributors
- 9.2.3 AI based Edge Computing Chip Customers
10 Concluding Insights
11 Appendix
- 11.1 Reasons for Doing This Study
- 11.2 Research Methodology
- 11.3 Research Process
- 11.4 Authors List of This Report
- 11.5 Data Source
- 11.5.1 Secondary Sources
- 11.5.2 Primary Sources
- 11.6 Disclaimer
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