Global Edge AI Software Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032
Description
Market Overview
According to DIResearch＇s in-depth investigation and research, the global Edge AI Software market size will reach 1,522.70 Million USD in 2025 and is projected to reach 7,289.31 Million USD by 2032, with a CAGR of 25.07% (2025-2032). Notably, the China Edge AI Software 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
Edge AI software refers to artificial intelligence algorithms and applications that are designed to run directly on edge computing devices, such as smartphones, cameras, IoT devices, and embedded systems, rather than relying on cloud-based processing. By processing data locally on these devices, Edge AI software enables real-time decision-making and analysis, reducing latency and dependency on internet connectivity. This technology empowers devices to perform tasks like image recognition, natural language processing, and predictive analytics on the spot, enhancing the efficiency and responsiveness of various applications, from autonomous vehicles and smart appliances to security systems and healthcare devices, all while preserving privacy and data security by keeping sensitive information on the device itself rather than in the cloud.
The major global suppliers of Edge AI Software include IBM, Microsoft, Intel, Google, TIBCO, Nutanix, Cloudera, Foghorn Systems, SWIM.AI, Anagog, Bragi, Tact.ai, XNOR.AI, Octonion, Veea Inc, Imagimob, 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 Edge AI Software. 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 Edge AI Software 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 Edge AI Software 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 Edge AI Software 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 Edge AI Software Include:
IBM
Microsoft
Intel
Google
TIBCO
Nutanix
Cloudera
Foghorn Systems
SWIM.AI
Anagog
Bragi
Tact.ai
XNOR.AI
Octonion
Veea Inc
Imagimob
Edge AI Software Product Segment Include:
Software Tools
Platforms
Edge AI Software Product Application Include:
Autonomous Vehicles
Access Management
Video Surveillance
Remote Monitoring & Predictive Maintenance
Telemetry
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Edge AI Software Industry PESTEL Analysis
Chapter 3: Global Edge AI Software Industry Porter's Five Forces Analysis
Chapter 4: Global Edge AI Software Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Edge AI Software Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Edge AI Software Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Edge AI Software 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 Edge AI Software market size will reach 1,522.70 Million USD in 2025 and is projected to reach 7,289.31 Million USD by 2032, with a CAGR of 25.07% (2025-2032). Notably, the China Edge AI Software 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
Edge AI software refers to artificial intelligence algorithms and applications that are designed to run directly on edge computing devices, such as smartphones, cameras, IoT devices, and embedded systems, rather than relying on cloud-based processing. By processing data locally on these devices, Edge AI software enables real-time decision-making and analysis, reducing latency and dependency on internet connectivity. This technology empowers devices to perform tasks like image recognition, natural language processing, and predictive analytics on the spot, enhancing the efficiency and responsiveness of various applications, from autonomous vehicles and smart appliances to security systems and healthcare devices, all while preserving privacy and data security by keeping sensitive information on the device itself rather than in the cloud.
The major global suppliers of Edge AI Software include IBM, Microsoft, Intel, Google, TIBCO, Nutanix, Cloudera, Foghorn Systems, SWIM.AI, Anagog, Bragi, Tact.ai, XNOR.AI, Octonion, Veea Inc, Imagimob, 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 Edge AI Software. 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 Edge AI Software 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 Edge AI Software 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 Edge AI Software 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 Edge AI Software Include:
IBM
Microsoft
Intel
TIBCO
Nutanix
Cloudera
Foghorn Systems
SWIM.AI
Anagog
Bragi
Tact.ai
XNOR.AI
Octonion
Veea Inc
Imagimob
Edge AI Software Product Segment Include:
Software Tools
Platforms
Edge AI Software Product Application Include:
Autonomous Vehicles
Access Management
Video Surveillance
Remote Monitoring & Predictive Maintenance
Telemetry
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Edge AI Software Industry PESTEL Analysis
Chapter 3: Global Edge AI Software Industry Porter's Five Forces Analysis
Chapter 4: Global Edge AI Software Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Edge AI Software Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Edge AI Software Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Edge AI Software 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 Edge AI Software Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Edge AI Software Product by Type
- 1.2.1 Software Tools
- 1.2.2 Platforms
- 1.3 Edge AI Software Product by Application
- 1.3.1 Autonomous Vehicles
- 1.3.2 Access Management
- 1.3.3 Video Surveillance
- 1.3.4 Remote Monitoring & Predictive Maintenance
- 1.3.5 Telemetry
- 1.3.6 Others
- 1.4 Global Edge AI Software Market Size Analysis (2020-2032)
- 1.5 Edge AI Software Market Development Status and Trends
- 1.5.1 Edge AI Software Industry Development Status Analysis
- 1.5.2 Edge AI Software Industry Development Trends Analysis
- 2 Edge AI Software 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 Edge AI Software 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 Edge AI Software Market Analysis by Country
- 4.1 Global Edge AI Software Market Size Analysis by Country: 2024 VS 2025 VS 2032
- 4.1.1 Global Edge AI Software Revenue Analysis by Country (2020-2025)
- 4.1.2 Global Edge AI Software Revenue Forecast Analysis by Country (2026-2032)
- 4.2 United States Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.3 Germany Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.4 Japan Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.5 China Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.6 France Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.7 U.K. Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.8 South Korea Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.9 Canada Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.10 Italy Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.11 Russia Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.12 Mexico Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.13 Brazil Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.14 India Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.15 Vietnam Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.16 Thailand Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 4.17 South Africa Edge AI Software Market Revenue and Growth Rate (2020-2032)
- 5 Competition by Suppliers
- 5.1 Global Edge AI Software Market Revenue by Key Suppliers (2021-2025)
- 5.2 Edge AI Software Competitive Landscape Analysis and Market Dynamic
- 5.2.1 Edge AI Software Competitive Landscape Analysis
- 5.2.2 Global Key Suppliers Headquarter and Key Area Sales
- 5.2.3 Market Dynamic
- 6 Edge AI Software Market Analysis by Type
- 6.1 Global Edge AI Software Market Size Analysis by Type: 2024 VS 2025 VS 2032
- 6.2 Global Edge AI Software Revenue and Forecast Analysis by Type (2020-2032)
- 7 Key Companies Analysis
- 7.1 IBM
- 7.1.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.1.2 IBM Edge AI Software Product Portfolio
- 7.1.3 IBM Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.2 Microsoft
- 7.2.1 Microsoft Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.2.2 Microsoft Edge AI Software Product Portfolio
- 7.2.3 Microsoft Edge AI Software 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 Edge AI Software Product Portfolio
- 7.3.3 Intel Edge AI Software 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 Edge AI Software Product Portfolio
- 7.4.3 Google Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.5 TIBCO
- 7.5.1 TIBCO Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.5.2 TIBCO Edge AI Software Product Portfolio
- 7.5.3 TIBCO Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.6 Nutanix
- 7.6.1 Nutanix Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.6.2 Nutanix Edge AI Software Product Portfolio
- 7.6.3 Nutanix Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.7 Cloudera
- 7.7.1 Cloudera Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.7.2 Cloudera Edge AI Software Product Portfolio
- 7.7.3 Cloudera Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.8 Foghorn Systems
- 7.8.1 Foghorn Systems Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.8.2 Foghorn Systems Edge AI Software Product Portfolio
- 7.8.3 Foghorn Systems Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.9 SWIM.AI
- 7.9.1 SWIM.AI Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.9.2 SWIM.AI Edge AI Software Product Portfolio
- 7.9.3 SWIM.AI Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.10 Anagog
- 7.10.1 Anagog Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.10.2 Anagog Edge AI Software Product Portfolio
- 7.10.3 Anagog Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.11 Bragi
- 7.11.1 Bragi Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.11.2 Bragi Edge AI Software Product Portfolio
- 7.11.3 Bragi Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.12 Tact.ai
- 7.12.1 Tact.ai Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.12.2 Tact.ai Edge AI Software Product Portfolio
- 7.12.3 Tact.ai Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.13 XNOR.AI
- 7.13.1 XNOR.AI Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.13.2 XNOR.AI Edge AI Software Product Portfolio
- 7.13.3 XNOR.AI Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.14 Octonion
- 7.14.1 Octonion Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.14.2 Octonion Edge AI Software Product Portfolio
- 7.14.3 Octonion Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.15 Veea Inc
- 7.15.1 Veea Inc Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.15.2 Veea Inc Edge AI Software Product Portfolio
- 7.15.3 Veea Inc Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.16 Imagimob
- 7.16.1 Imagimob Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.16.2 Imagimob Edge AI Software Product Portfolio
- 7.16.3 Imagimob Edge AI Software Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 8 Industry Chain Analysis
- 8.1 Edge AI Software Industry Chain Analysis
- 8.2 Edge AI Software Product Downstream Application Analysis
- 8.2.1 Global Edge AI Software Market Size and Growth Rate (CAGR) by Application: 2024 VS 2025 VS 2032
- 8.2.2 Global Edge AI Software Revenue and Forecast by Application (2020-2032)
- 8.3 Edge AI Software Typical Downstream Customers
- 8.4 Edge AI Software 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
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
