Industry: Service & Software
Published Date: 2026-07-22
Pages: 187 Pages
Report ld: 6979632
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AI Over Edge Computing Market Size(US$)

CAGR 2026-2032
14.2%
Market Size,2032
USD 135,370
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global AI Over Edge Computing market was valued at US$ 53433 million in 2025 and is anticipated to reach US$ 135370 million by 2032, at a CAGR of 14.2% from 2026 to 2032.
AI Over Edge Computing) refers to the integration of artificial intelligence algorithms, machine learning models, and edge computing infrastructure to enable data processing, analysis, and intelligent decision-making closer to the data source rather than relying entirely on centralized cloud platforms. By deploying AI models on edge devices, edge servers, gateways, and industrial computing nodes, AI Over Edge Computing reduces latency, improves real-time response capabilities, enhances data privacy and security, and lowers bandwidth requirements. It is widely applied in autonomous vehicles, industrial automation, smart manufacturing, intelligent video analytics, robotics, healthcare devices, smart cities, and IoT systems, where fast and reliable local intelligence is essential.
The demand for AI Over Edge Computing is accelerating as enterprises and industries increasingly require real-time AI inference, low-latency decision-making, and secure localized data processing. The rapid expansion of IoT devices, autonomous systems, industrial digitalization, and AI-powered applications is driving adoption of edge AI hardware, AI accelerators, edge servers, and cloud-edge collaboration platforms. Business opportunities are concentrated in high-growth areas such as smart manufacturing, autonomous driving, AI vision, robotics, telecommunications edge networks, and enterprise private AI deployment. In addition, the increasing cost and regulatory challenges associated with transferring massive volumes of data to centralized cloud environments are encouraging organizations to adopt edge AI architectures, creating opportunities for semiconductor companies, infrastructure providers, cloud service providers, and industry-specific solution vendors to develop integrated AI edge ecosystems.
MARKET SEGMENTATION
REPORT SCOPE
This report delivers a comprehensive overview of the global AI Over Edge Computing market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding AI Over Edge Computing. The AI Over Edge Computing market size, estimates, and forecasts are provided in terms of revenue (US$ millions), with 2025 as the base year and historical and forecast data for 2021–2032.
The report segments the global AI Over Edge Computing market comprehensively. Regional market sizes by Deployment Architecture, by Application, by AI Computing Performance, and by player are also provided. For deeper insight, the report profiles the competitive landscape, key competitors, and their respective market rankings, and discusses technological trends and new product developments.
This report will assist AI Over Edge Computing manufacturers, new entrants, and companies across the industry value chain with information on revenues, sales volume, and average prices for the overall market and its sub-segments, by company, by Deployment Architecture, by Application, and by region.
CHAPTER OUTLINE
Chapter 1: Defines the scope of the report and presents an executive summary of market segments (by Deployment Architecture, by Application, by AI Computing Performance, etc.), including the size of each segment and its future growth potential. It offers a high-level view of the current market and its likely evolution in the short, medium, and long term.
Chapter 2: Summarizes global and regional market size and outlines market dynamics and recent developments, including key drivers, restraints, challenges and risks for industry participants, and relevant policy analysis.
Chapter 3: Provides a detailed view of the competitive landscape for AI Over Edge Computing companies, covering revenue share, development plans, and mergers and acquisitions.
Chapter 4: Analyzes segments by Deployment Architecture, detailing the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 5: Analyzes segments by Application, detailing the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 6–10: Regional deep dives (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) broken down by country. Each chapter quantifies market size and growth potential by region and key countries, and outlines market development, outlook, addressable space, and capacity.
Chapter 11: Profiles key players, presenting essential information on leading companies, including product/ service offerings, revenue, gross margin, product introductions/portfolios, recent developments, etc.
Chapter 12: Key findings and conclusions of the report.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
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TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Deployment Architecture
1.2.1 Global AI Over Edge Computing Market Size Growth Rate by Deployment Architecture: 2021 vs 2025 vs 2032
1.2.2 Device-Level Edge AI: <10W
1.2.3 Gateway-Level Edge AI: 10–100W
1.2.4 Server-Level Edge AI: 100W–5kW
1.2.5 Cluster-Level Edge AI: >5kW
1.3 Market by AI Computing Performance
1.3.1 Global AI Over Edge Computing Market Size Growth Rate by AI Computing Performance: 2021 vs 2025 vs 2032
1.3.2 Low Performance: <10 TOPS
1.3.3 Medium Performance: 10–100 TOPS
1.3.4 High Performance: 100–1,000 TOPS
1.3.5 Ultra High Performance: >1,000 TOPS
1.4 Market by Processing Location
1.4.1 Global AI Over Edge Computing Market Size Growth Rate by Processing Location: 2021 vs 2025 vs 2032
1.4.2 On-Device AI
1.4.3 Near-Edge AI
1.4.4 Regional Edge AI
1.4.5 Cloud-Integrated Edge AI
1.4.6 Others
1.5 Market by Application
1.5.1 Global AI Over Edge Computing Market Growth by Application: 2021 vs 2025 vs 2032
1.5.2 Autonomous Vehicles and Transportation
1.5.3 Industrial Automation and Manufacturing
1.5.4 Smart City and Surveillance
1.5.5 Healthcare and Medical Devices
1.5.6 Telecommunications and 5G
1.5.7 Aerospace and Defense
1.5.8 Consumer Electronics
1.5.9 Others
1.6 Assumptions and Limitations
1.7 Study Objectives
1.8 Years Considered
2 Global Growth Trends
2.1 Global AI Over Edge Computing Market Perspective (2021–2032)
2.2 Global AI Over Edge Computing Growth Trends by Region
2.2.1 Global AI Over Edge Computing Market Size by Region: 2021 vs 2025 vs 2032
2.2.2 AI Over Edge Computing Historic Market Size by Region (2021–2026)
2.2.3 AI Over Edge Computing Forecasted Market Size by Region (2027–2032)
2.3 AI Over Edge Computing Market Dynamics
2.3.1 AI Over Edge Computing Industry Trends
2.3.2 AI Over Edge Computing Market Drivers
2.3.3 AI Over Edge Computing Market Challenges
2.3.4 AI Over Edge Computing Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Over Edge Computing Players by Revenue
3.1.1 Global Top AI Over Edge Computing Players by Revenue (2021–2026)
3.1.2 Global AI Over Edge Computing Revenue Market Share by Players (2021–2026)
3.2 Global Top AI Over Edge Computing Players Market Share by Company Tier (Tier 1, Tier 2, Tier 3)
3.3 Global Key Players Ranking by AI Over Edge Computing Revenue
3.4 Global AI Over Edge Computing Market Concentration Ratio
3.4.1 Global AI Over Edge Computing Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Over Edge Computing Revenue in 2025
3.5 Global Key Players of AI Over Edge Computing Head Offices and Areas Served
3.6 Global Key Players of AI Over Edge Computing, Products and Applications
3.7 Global Key Players of AI Over Edge Computing, Date of General Availability (GA)
3.8 Mergers and Acquisitions, Expansion Plans
4 AI Over Edge Computing Breakdown Data by Deployment Architecture
4.1 Global AI Over Edge Computing Historic Market Size by Deployment Architecture (2021–2026)
4.2 Global AI Over Edge Computing Forecasted Market Size by Deployment Architecture (2027–2032)
5 AI Over Edge Computing Breakdown Data by Application
5.1 Global AI Over Edge Computing Historic Market Size by Application (2021–2026)
5.2 Global AI Over Edge Computing Forecasted Market Size by Application (2027–2032)
6 North America
6.1 North America AI Over Edge Computing Market Size (2021–2032)
6.2 North America AI Over Edge Computing Market Growth Rate by Country: 2021 vs 2025 vs 2032
6.3 North America AI Over Edge Computing Market Size by Country (2021–2026)
6.4 North America AI Over Edge Computing Market Size by Country (2027–2032)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Over Edge Computing Market Size (2021–2032)
7.2 Europe AI Over Edge Computing Market Growth Rate by Country: 2021 vs 2025 vs 2032
7.3 Europe AI Over Edge Computing Market Size by Country (2021–2026)
7.4 Europe AI Over Edge Computing Market Size by Country (2027–2032)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Ireland
8 Asia-Pacific
8.1 Asia-Pacific AI Over Edge Computing Market Size (2021–2032)
8.2 Asia-Pacific AI Over Edge Computing Market Growth Rate by Region: 2021 vs 2025 vs 2032
8.3 Asia-Pacific AI Over Edge Computing Market Size by Region (2021–2026)
8.4 Asia-Pacific AI Over Edge Computing Market Size by Region (2027–2032)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia & New Zealand
9 Latin America
9.1 Latin America AI Over Edge Computing Market Size (2021–2032)
9.2 Latin America AI Over Edge Computing Market Growth Rate by Country: 2021 vs 2025 vs 2032
9.3 Latin America AI Over Edge Computing Market Size by Country (2021–2026)
9.4 Latin America AI Over Edge Computing Market Size by Country (2027–2032)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Over Edge Computing Market Size (2021–2032)
10.2 Middle East & Africa AI Over Edge Computing Market Growth Rate by Country: 2021 vs 2025 vs 2032
10.3 Middle East & Africa AI Over Edge Computing Market Size by Country (2021–2026)
10.4 Middle East & Africa AI Over Edge Computing Market Size by Country (2027–2032)
10.5 Israel
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NVIDIA
11.1.1 NVIDIA Company Details
11.1.2 NVIDIA Business Overview
11.1.3 NVIDIA AI Over Edge Computing Introduction
11.1.4 NVIDIA Revenue in AI Over Edge Computing Business (2021–2026)
11.1.5 NVIDIA Recent Development
11.2 Intel
11.2.1 Intel Company Details
11.2.2 Intel Business Overview
11.2.3 Intel AI Over Edge Computing Introduction
11.2.4 Intel Revenue in AI Over Edge Computing Business (2021–2026)
11.2.5 Intel Recent Development
11.3 Qualcomm
11.3.1 Qualcomm Company Details
11.3.2 Qualcomm Business Overview
11.3.3 Qualcomm AI Over Edge Computing Introduction
11.3.4 Qualcomm Revenue in AI Over Edge Computing Business (2021–2026)
11.3.5 Qualcomm Recent Development
11.4 AMD
11.4.1 AMD Company Details
11.4.2 AMD Business Overview
11.4.3 AMD AI Over Edge Computing Introduction
11.4.4 AMD Revenue in AI Over Edge Computing Business (2021–2026)
11.4.5 AMD Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Details
11.5.2 Microsoft Business Overview
11.5.3 Microsoft AI Over Edge Computing Introduction
11.5.4 Microsoft Revenue in AI Over Edge Computing Business (2021–2026)
11.5.5 Microsoft Recent Development
11.6 Amazon Web Services (AWS)
11.6.1 Amazon Web Services (AWS) Company Details
11.6.2 Amazon Web Services (AWS) Business Overview
11.6.3 Amazon Web Services (AWS) AI Over Edge Computing Introduction
11.6.4 Amazon Web Services (AWS) Revenue in AI Over Edge Computing Business (2021–2026)
11.6.5 Amazon Web Services (AWS) Recent Development
11.7 Google
11.7.1 Google Company Details
11.7.2 Google Business Overview
11.7.3 Google AI Over Edge Computing Introduction
11.7.4 Google Revenue in AI Over Edge Computing Business (2021–2026)
11.7.5 Google Recent Development
11.8 IBM
11.8.1 IBM Company Details
11.8.2 IBM Business Overview
11.8.3 IBM AI Over Edge Computing Introduction
11.8.4 IBM Revenue in AI Over Edge Computing Business (2021–2026)
11.8.5 IBM Recent Development
11.9 Cisco Systems
11.9.1 Cisco Systems Company Details
11.9.2 Cisco Systems Business Overview
11.9.3 Cisco Systems AI Over Edge Computing Introduction
11.9.4 Cisco Systems Revenue in AI Over Edge Computing Business (2021–2026)
11.9.5 Cisco Systems Recent Development
11.10 Hewlett Packard Enterprise (HPE)
11.10.1 Hewlett Packard Enterprise (HPE) Company Details
11.10.2 Hewlett Packard Enterprise (HPE) Business Overview
11.10.3 Hewlett Packard Enterprise (HPE) AI Over Edge Computing Introduction
11.10.4 Hewlett Packard Enterprise (HPE) Revenue in AI Over Edge Computing Business (2021–2026)
11.10.5 Hewlett Packard Enterprise (HPE) Recent Development
11.11 Dell Technologies
11.11.1 Dell Technologies Company Details
11.11.2 Dell Technologies Business Overview
11.11.3 Dell Technologies AI Over Edge Computing Introduction
11.11.4 Dell Technologies Revenue in AI Over Edge Computing Business (2021–2026)
11.11.5 Dell Technologies Recent Development
11.12 Supermicro
11.12.1 Supermicro Company Details
11.12.2 Supermicro Business Overview
11.12.3 Supermicro AI Over Edge Computing Introduction
11.12.4 Supermicro Revenue in AI Over Edge Computing Business (2021–2026)
11.12.5 Supermicro Recent Development
11.13 Advantech
11.13.1 Advantech Company Details
11.13.2 Advantech Business Overview
11.13.3 Advantech AI Over Edge Computing Introduction
11.13.4 Advantech Revenue in AI Over Edge Computing Business (2021–2026)
11.13.5 Advantech Recent Development
11.14 Huawei
11.14.1 Huawei Company Details
11.14.2 Huawei Business Overview
11.14.3 Huawei AI Over Edge Computing Introduction
11.14.4 Huawei Revenue in AI Over Edge Computing Business (2021–2026)
11.14.5 Huawei Recent Development
11.15 ZTE
11.15.1 ZTE Company Details
11.15.2 ZTE Business Overview
11.15.3 ZTE AI Over Edge Computing Introduction
11.15.4 ZTE Revenue in AI Over Edge Computing Business (2021–2026)
11.15.5 ZTE Recent Development
11.16 China Telecom
11.16.1 China Telecom Company Details
11.16.2 China Telecom Business Overview
11.16.3 China Telecom AI Over Edge Computing Introduction
11.16.4 China Telecom Revenue in AI Over Edge Computing Business (2021–2026)
11.16.5 China Telecom Recent Development
11.17 Alibaba Cloud
11.17.1 Alibaba Cloud Company Details
11.17.2 Alibaba Cloud Business Overview
11.17.3 Alibaba Cloud AI Over Edge Computing Introduction
11.17.4 Alibaba Cloud Revenue in AI Over Edge Computing Business (2021–2026)
11.17.5 Alibaba Cloud Recent Development
11.18 Tencent Cloud
11.18.1 Tencent Cloud Company Details
11.18.2 Tencent Cloud Business Overview
11.18.3 Tencent Cloud AI Over Edge Computing Introduction
11.18.4 Tencent Cloud Revenue in AI Over Edge Computing Business (2021–2026)
11.18.5 Tencent Cloud Recent Development
11.19 Baidu
11.19.1 Baidu Company Details
11.19.2 Baidu Business Overview
11.19.3 Baidu AI Over Edge Computing Introduction
11.19.4 Baidu Revenue in AI Over Edge Computing Business (2021–2026)
11.19.5 Baidu Recent Development
11.20 Inspur
11.20.1 Inspur Company Details
11.20.2 Inspur Business Overview
11.20.3 Inspur AI Over Edge Computing Introduction
11.20.4 Inspur Revenue in AI Over Edge Computing Business (2021–2026)
11.20.5 Inspur Recent Development
11.21 Lenovo
11.21.1 Lenovo Company Details
11.21.2 Lenovo Business Overview
11.21.3 Lenovo AI Over Edge Computing Introduction
11.21.4 Lenovo Revenue in AI Over Edge Computing Business (2021–2026)
11.21.5 Lenovo Recent Development
11.22 Hikvision
11.22.1 Hikvision Company Details
11.22.2 Hikvision Business Overview
11.22.3 Hikvision AI Over Edge Computing Introduction
11.22.4 Hikvision Revenue in AI Over Edge Computing Business (2021–2026)
11.22.5 Hikvision Recent Development
11.23 Dahua Technology
11.23.1 Dahua Technology Company Details
11.23.2 Dahua Technology Business Overview
11.23.3 Dahua Technology AI Over Edge Computing Introduction
11.23.4 Dahua Technology Revenue in AI Over Edge Computing Business (2021–2026)
11.23.5 Dahua Technology Recent Development
11.24 SenseTime
11.24.1 SenseTime Company Details
11.24.2 SenseTime Business Overview
11.24.3 SenseTime AI Over Edge Computing Introduction
11.24.4 SenseTime Revenue in AI Over Edge Computing Business (2021–2026)
11.24.5 SenseTime Recent Development
11.25 Horizon Robotics
11.25.1 Horizon Robotics Company Details
11.25.2 Horizon Robotics Business Overview
11.25.3 Horizon Robotics AI Over Edge Computing Introduction
11.25.4 Horizon Robotics Revenue in AI Over Edge Computing Business (2021–2026)
11.25.5 Horizon Robotics Recent Development
11.26 Sony Semiconductor Solutions
11.26.1 Sony Semiconductor Solutions Company Details
11.26.2 Sony Semiconductor Solutions Business Overview
11.26.3 Sony Semiconductor Solutions AI Over Edge Computing Introduction
11.26.4 Sony Semiconductor Solutions Revenue in AI Over Edge Computing Business (2021–2026)
11.26.5 Sony Semiconductor Solutions Recent Development
11.27 NEC Corporation
11.27.1 NEC Corporation Company Details
11.27.2 NEC Corporation Business Overview
11.27.3 NEC Corporation AI Over Edge Computing Introduction
11.27.4 NEC Corporation Revenue in AI Over Edge Computing Business (2021–2026)
11.27.5 NEC Corporation Recent Development
11.28 Fujitsu
11.28.1 Fujitsu Company Details
11.28.2 Fujitsu Business Overview
11.28.3 Fujitsu AI Over Edge Computing Introduction
11.28.4 Fujitsu Revenue in AI Over Edge Computing Business (2021–2026)
11.28.5 Fujitsu Recent Development
11.29 Hitachi
11.29.1 Hitachi Company Details
11.29.2 Hitachi Business Overview
11.29.3 Hitachi AI Over Edge Computing Introduction
11.29.4 Hitachi Revenue in AI Over Edge Computing Business (2021–2026)
11.29.5 Hitachi Recent Development
11.30 Renesas Electronics
11.30.1 Renesas Electronics Company Details
11.30.2 Renesas Electronics Business Overview
11.30.3 Renesas Electronics AI Over Edge Computing Introduction
11.30.4 Renesas Electronics Revenue in AI Over Edge Computing Business (2021–2026)
11.30.5 Renesas Electronics Recent Development
11.31 Toshiba
11.31.1 Toshiba Company Details
11.31.2 Toshiba Business Overview
11.31.3 Toshiba AI Over Edge Computing Introduction
11.31.4 Toshiba Revenue in AI Over Edge Computing Business (2021–2026)
11.31.5 Toshiba Recent Development
11.32 Mitsubishi Electric
11.32.1 Mitsubishi Electric Company Details
11.32.2 Mitsubishi Electric Business Overview
11.32.3 Mitsubishi Electric AI Over Edge Computing Introduction
11.32.4 Mitsubishi Electric Revenue in AI Over Edge Computing Business (2021–2026)
11.32.5 Mitsubishi Electric Recent Development
11.33 FANUC
11.33.1 FANUC Company Details
11.33.2 FANUC Business Overview
11.33.3 FANUC AI Over Edge Computing Introduction
11.33.4 FANUC Revenue in AI Over Edge Computing Business (2021–2026)
11.33.5 FANUC Recent Development
11.34 Omron
11.34.1 Omron Company Details
11.34.2 Omron Business Overview
11.34.3 Omron AI Over Edge Computing Introduction
11.34.4 Omron Revenue in AI Over Edge Computing Business (2021–2026)
11.34.5 Omron Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
REPORT SCOPE
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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