Global Artificial Intelligence for Edge Devices Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032
Description
Market Overview
According to DIResearch＇s in-depth investigation and research, the global Artificial Intelligence for Edge Devices market size will reach 4,318.87 Million USD in 2025 and is projected to reach 24,140.75 Million USD by 2032, with a CAGR of 27.87% (2025-2032). Notably, the China Artificial Intelligence for Edge Devices market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
Artificial Intelligence for Edge Devices refers to the deployment of AI algorithms and models on small devices located at the edge of the network, close to where data is generated. These devices could be sensors, cameras, or other types of smart devices that collect and process data locally. By deploying AI models on edge devices, the need for sending data to the cloud for processing is reduced, which enables faster response times, lower latency, and reduced network congestion. This approach also provides greater privacy and security, as sensitive data does not need to leave the device. AI for edge devices includes a range of technologies, such as machine learning, deep learning, natural language processing, and computer vision. These algorithms are designed to perform specific tasks such as object recognition, classification, prediction, and decision-making. The goal is to enable edge devices to operate autonomously, with minimal human intervention, and to provide real-time insights and actions.
The major global suppliers of Artificial Intelligence for Edge Devices include Microsoft, Qualcomm, Intel, Google, Alibaba, NVIDIA, Arm, Horizon Robotics, Baidu, Synopsys, Cambricon, MediaTek, Mythic, NXP, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Artificial Intelligence for Edge Devices. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global Artificial Intelligence for Edge Devices market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Artificial Intelligence for Edge Devices market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Artificial Intelligence for Edge Devices industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of Artificial Intelligence for Edge Devices Include:
Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
Artificial Intelligence for Edge Devices Product Segment Include:
Hardware
Software
Artificial Intelligence for Edge Devices Product Application Include:
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Security Cameras
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Artificial Intelligence for Edge Devices Industry PESTEL Analysis
Chapter 3: Global Artificial Intelligence for Edge Devices Industry Porter's Five Forces Analysis
Chapter 4: Global Artificial Intelligence for Edge Devices Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Artificial Intelligence for Edge Devices Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Artificial Intelligence for Edge Devices Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Artificial Intelligence for Edge Devices Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
According to DIResearch＇s in-depth investigation and research, the global Artificial Intelligence for Edge Devices market size will reach 4,318.87 Million USD in 2025 and is projected to reach 24,140.75 Million USD by 2032, with a CAGR of 27.87% (2025-2032). Notably, the China Artificial Intelligence for Edge Devices market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
Artificial Intelligence for Edge Devices refers to the deployment of AI algorithms and models on small devices located at the edge of the network, close to where data is generated. These devices could be sensors, cameras, or other types of smart devices that collect and process data locally. By deploying AI models on edge devices, the need for sending data to the cloud for processing is reduced, which enables faster response times, lower latency, and reduced network congestion. This approach also provides greater privacy and security, as sensitive data does not need to leave the device. AI for edge devices includes a range of technologies, such as machine learning, deep learning, natural language processing, and computer vision. These algorithms are designed to perform specific tasks such as object recognition, classification, prediction, and decision-making. The goal is to enable edge devices to operate autonomously, with minimal human intervention, and to provide real-time insights and actions.
The major global suppliers of Artificial Intelligence for Edge Devices include Microsoft, Qualcomm, Intel, Google, Alibaba, NVIDIA, Arm, Horizon Robotics, Baidu, Synopsys, Cambricon, MediaTek, Mythic, NXP, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Artificial Intelligence for Edge Devices. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global Artificial Intelligence for Edge Devices market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Artificial Intelligence for Edge Devices market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Artificial Intelligence for Edge Devices industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of Artificial Intelligence for Edge Devices Include:
Microsoft
Qualcomm
Intel
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
Artificial Intelligence for Edge Devices Product Segment Include:
Hardware
Software
Artificial Intelligence for Edge Devices Product Application Include:
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Security Cameras
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Artificial Intelligence for Edge Devices Industry PESTEL Analysis
Chapter 3: Global Artificial Intelligence for Edge Devices Industry Porter's Five Forces Analysis
Chapter 4: Global Artificial Intelligence for Edge Devices Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Artificial Intelligence for Edge Devices Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Artificial Intelligence for Edge Devices Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Artificial Intelligence for Edge Devices Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
Table of Contents
165 Pages
- 1 Artificial Intelligence for Edge Devices Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Artificial Intelligence for Edge Devices Product by Type
- 1.2.1 Hardware
- 1.2.2 Software
- 1.3 Artificial Intelligence for Edge Devices Product by Application
- 1.3.1 Automotive
- 1.3.2 Consumer and Enterprise Robotics
- 1.3.3 Drones
- 1.3.4 Head-Mounted Displays
- 1.3.5 Smart Speakers
- 1.3.6 Security Cameras
- 1.4 Global Artificial Intelligence for Edge Devices Market Size Analysis (2020-2032)
- 1.5 Artificial Intelligence for Edge Devices Market Development Status and Trends
- 1.5.1 Artificial Intelligence for Edge Devices Industry Development Status Analysis
- 1.5.2 Artificial Intelligence for Edge Devices Industry Development Trends Analysis
- 2 Artificial Intelligence for Edge Devices Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 Artificial Intelligence for Edge Devices Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global Artificial Intelligence for Edge Devices Market Analysis by Country
- 4.1 Global Artificial Intelligence for Edge Devices Market Size Analysis by Country: 2024 VS 2025 VS 2032
- 4.1.1 Global Artificial Intelligence for Edge Devices Revenue Analysis by Country (2020-2025)
- 4.1.2 Global Artificial Intelligence for Edge Devices Revenue Forecast Analysis by Country (2026-2032)
- 4.2 United States Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.3 Germany Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.4 Japan Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.5 China Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.6 France Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.7 U.K. Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.8 South Korea Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.9 Canada Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.10 Italy Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.11 Russia Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.12 Mexico Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.13 Brazil Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.14 India Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.15 Vietnam Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.16 Thailand Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 4.17 South Africa Artificial Intelligence for Edge Devices Market Revenue and Growth Rate (2020-2032)
- 5 Competition by Suppliers
- 5.1 Global Artificial Intelligence for Edge Devices Market Revenue by Key Suppliers (2021-2025)
- 5.2 Artificial Intelligence for Edge Devices Competitive Landscape Analysis and Market Dynamic
- 5.2.1 Artificial Intelligence for Edge Devices Competitive Landscape Analysis
- 5.2.2 Global Key Suppliers Headquarter and Key Area Sales
- 5.2.3 Market Dynamic
- 6 Artificial Intelligence for Edge Devices Market Analysis by Type
- 6.1 Global Artificial Intelligence for Edge Devices Market Size Analysis by Type: 2024 VS 2025 VS 2032
- 6.2 Global Artificial Intelligence for Edge Devices Revenue and Forecast Analysis by Type (2020-2032)
- 7 Key Companies Analysis
- 7.1 Microsoft
- 7.1.1 Microsoft Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.1.2 Microsoft Artificial Intelligence for Edge Devices Product Portfolio
- 7.1.3 Microsoft Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.2 Qualcomm
- 7.2.1 Qualcomm Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.2.2 Qualcomm Artificial Intelligence for Edge Devices Product Portfolio
- 7.2.3 Qualcomm Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.3 Intel
- 7.3.1 Intel Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.3.2 Intel Artificial Intelligence for Edge Devices Product Portfolio
- 7.3.3 Intel Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.4 Google
- 7.4.1 Google Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.4.2 Google Artificial Intelligence for Edge Devices Product Portfolio
- 7.4.3 Google Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.5 Alibaba
- 7.5.1 Alibaba Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.5.2 Alibaba Artificial Intelligence for Edge Devices Product Portfolio
- 7.5.3 Alibaba Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.6 NVIDIA
- 7.6.1 NVIDIA Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.6.2 NVIDIA Artificial Intelligence for Edge Devices Product Portfolio
- 7.6.3 NVIDIA Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.7 Arm
- 7.7.1 Arm Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.7.2 Arm Artificial Intelligence for Edge Devices Product Portfolio
- 7.7.3 Arm Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.8 Horizon Robotics
- 7.8.1 Horizon Robotics Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.8.2 Horizon Robotics Artificial Intelligence for Edge Devices Product Portfolio
- 7.8.3 Horizon Robotics Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.9 Baidu
- 7.9.1 Baidu Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.9.2 Baidu Artificial Intelligence for Edge Devices Product Portfolio
- 7.9.3 Baidu Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.10 Synopsys
- 7.10.1 Synopsys Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.10.2 Synopsys Artificial Intelligence for Edge Devices Product Portfolio
- 7.10.3 Synopsys Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.11 Cambricon
- 7.11.1 Cambricon Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.11.2 Cambricon Artificial Intelligence for Edge Devices Product Portfolio
- 7.11.3 Cambricon Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.12 MediaTek
- 7.12.1 MediaTek Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.12.2 MediaTek Artificial Intelligence for Edge Devices Product Portfolio
- 7.12.3 MediaTek Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.13 Mythic
- 7.13.1 Mythic Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.13.2 Mythic Artificial Intelligence for Edge Devices Product Portfolio
- 7.13.3 Mythic Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.14 NXP
- 7.14.1 NXP Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.14.2 NXP Artificial Intelligence for Edge Devices Product Portfolio
- 7.14.3 NXP Artificial Intelligence for Edge Devices Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 8 Industry Chain Analysis
- 8.1 Artificial Intelligence for Edge Devices Industry Chain Analysis
- 8.2 Artificial Intelligence for Edge Devices Product Downstream Application Analysis
- 8.2.1 Global Artificial Intelligence for Edge Devices Market Size and Growth Rate (CAGR) by Application: 2024 VS 2025 VS 2032
- 8.2.2 Global Artificial Intelligence for Edge Devices Revenue and Forecast by Application (2020-2032)
- 8.3 Artificial Intelligence for Edge Devices Typical Downstream Customers
- 8.4 Artificial Intelligence for Edge Devices Sales Channel Analysis
- 9 Research Findings and Conclusion
- 10 Methodology and Data Source
- 10.1 Methodology/Research Approach
- 10.2 Research Scope
- 10.3 Benchmarks and Assumptions
- 10.4 Date Source
- 10.4.1 Primary Sources
- 10.4.2 Secondary Sources
- 10.5 Data Cross Validation
- 10.6 Disclaimer
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