Industry: Service & Software
Published Date: 2026-04-21
Pages: 120 Pages
Report ld: 6602905
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AI over Edge Computing Market Size(US$)

CAGR 2026-2032
4.9%
Market Size,2032
USD 13,040
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global AI over Edge Computing market was valued at US$ 9376 million in 2025 and is anticipated to reach US$ 13040 million by 2032, at a CAGR of 4.9% from 2026 to 2032.
It refers to the public platform that provides all kinds of AI reasoning algorithm resources and corresponding programmable AI computing resources on the edge of 5G.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.94%, including software, hardware and services.
This report delivers a comprehensive overview of the global AI over Edge Computing market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding AI over Edge Computing. The AI over Edge Computing market size, estimates, and forecasts are provided in terms of revenue (US$ 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 Type, by Application, , 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 Type, by Application, and by region.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Defines the scope of the report and presents an executive summary of market segments (by Type, by Application, , 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 Type, 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.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI over Edge Computing Market Size Growth Rate by Type: 2021 vs 2025 vs 2032
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Market by Application
1.3.1 Global AI over Edge Computing Market Growth by Application: 2021 vs 2025 vs 2032
1.3.2 Government and Public Services
1.3.3 Industrial
1.3.4 Agricultural
1.3.5 Transportation
1.3.6 Financial
1.3.7 Medical
1.3.8 Electric Power
1.3.9 Entertainment
1.3.10 Education
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 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 Type
4.1 Global AI over Edge Computing Historic Market Size by Type (2021–2026)
4.2 Global AI over Edge Computing Forecasted Market Size by Type (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 Intel
11.1.1 Intel Company Details
11.1.2 Intel Business Overview
11.1.3 Intel AI over Edge Computing Introduction
11.1.4 Intel Revenue in AI over Edge Computing Business (2021–2026)
11.1.5 Intel Recent Development
11.2 Huawei
11.2.1 Huawei Company Details
11.2.2 Huawei Business Overview
11.2.3 Huawei AI over Edge Computing Introduction
11.2.4 Huawei Revenue in AI over Edge Computing Business (2021–2026)
11.2.5 Huawei Recent Development
11.3 OpenFog
11.3.1 OpenFog Company Details
11.3.2 OpenFog Business Overview
11.3.3 OpenFog AI over Edge Computing Introduction
11.3.4 OpenFog Revenue in AI over Edge Computing Business (2021–2026)
11.3.5 OpenFog Recent Development
11.4 Linux
11.4.1 Linux Company Details
11.4.2 Linux Business Overview
11.4.3 Linux AI over Edge Computing Introduction
11.4.4 Linux Revenue in AI over Edge Computing Business (2021–2026)
11.4.5 Linux Recent Development
11.5 China Telecom
11.5.1 China Telecom Company Details
11.5.2 China Telecom Business Overview
11.5.3 China Telecom AI over Edge Computing Introduction
11.5.4 China Telecom Revenue in AI over Edge Computing Business (2021–2026)
11.5.5 China Telecom Recent Development
11.6 Microsoft
11.6.1 Microsoft Company Details
11.6.2 Microsoft Business Overview
11.6.3 Microsoft AI over Edge Computing Introduction
11.6.4 Microsoft Revenue in AI over Edge Computing Business (2021–2026)
11.6.5 Microsoft Recent Development
11.7 Amazon
11.7.1 Amazon Company Details
11.7.2 Amazon Business Overview
11.7.3 Amazon AI over Edge Computing Introduction
11.7.4 Amazon Revenue in AI over Edge Computing Business (2021–2026)
11.7.5 Amazon Recent Development
11.8 Zenlayer
11.8.1 Zenlayer Company Details
11.8.2 Zenlayer Business Overview
11.8.3 Zenlayer AI over Edge Computing Introduction
11.8.4 Zenlayer Revenue in AI over Edge Computing Business (2021–2026)
11.8.5 Zenlayer Recent Development
11.9 Wangsu
11.9.1 Wangsu Company Details
11.9.2 Wangsu Business Overview
11.9.3 Wangsu AI over Edge Computing Introduction
11.9.4 Wangsu Revenue in AI over Edge Computing Business (2021–2026)
11.9.5 Wangsu Recent Development
11.10 ZTE
11.10.1 ZTE Company Details
11.10.2 ZTE Business Overview
11.10.3 ZTE AI over Edge Computing Introduction
11.10.4 ZTE Revenue in AI over Edge Computing Business (2021–2026)
11.10.5 ZTE Recent Development
11.11 Cisco Systems
11.11.1 Cisco Systems Company Details
11.11.2 Cisco Systems Business Overview
11.11.3 Cisco Systems AI over Edge Computing Introduction
11.11.4 Cisco Systems Revenue in AI over Edge Computing Business (2021–2026)
11.11.5 Cisco Systems Recent Development
11.12 General Electric Company
11.12.1 General Electric Company Company Details
11.12.2 General Electric Company Business Overview
11.12.3 General Electric Company AI over Edge Computing Introduction
11.12.4 General Electric Company Revenue in AI over Edge Computing Business (2021–2026)
11.12.5 General Electric Company Recent Development
11.13 Hewlett Packard Enterprise (HPE)
11.13.1 Hewlett Packard Enterprise (HPE) Company Details
11.13.2 Hewlett Packard Enterprise (HPE) Business Overview
11.13.3 Hewlett Packard Enterprise (HPE) AI over Edge Computing Introduction
11.13.4 Hewlett Packard Enterprise (HPE) Revenue in AI over Edge Computing Business (2021–2026)
11.13.5 Hewlett Packard Enterprise (HPE) 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
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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