

The global Edge Computing and Machine Learning market size was valued at US$ million in 2024 and is forecast to a readjusted size of USD million by 2031 with a CAGR of %during review period.
This report is a detailed and comprehensive analysis for global Edge Computing and Machine Learning market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Edge Computing and Machine Learning market size and forecasts, in consumption value ($ Million), 2020-2031
Global Edge Computing and Machine Learning market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Edge Computing and Machine Learning market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Edge Computing and Machine Learning market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Edge Computing and Machine Learning
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Edge Computing and Machine Learning market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Amazon Web Services, Microsoft, Cisco, Dell Technologies, HPE, Huawei, GE, Nokia, ADLINK, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Edge Computing and Machine Learning market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Hardware
Software and Services
Market segment by Application
Automotive
Manufacturing
Retail
Agriculture
Healthcare
Other
Market segment by players, this report covers
IBM
Amazon Web Services
Microsoft
Cisco
Dell Technologies
HPE
Huawei
GE
Nokia
ADLINK
Litmus Automation
FogHorn Systems
Vapor IO
MachineShop (EdgeIQ)
Saguna Networks
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Edge Computing and Machine Learning product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Edge Computing and Machine Learning, with revenue, gross margin, and global market share of Edge Computing and Machine Learning from 2020 to 2025.
Chapter 3, the Edge Computing and Machine Learning competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Edge Computing and Machine Learning market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Edge Computing and Machine Learning.
Chapter 13, to describe Edge Computing and Machine Learning research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 Market Overview
1.1 Product Overview and Scope
1.2 Market Estimation Caveats and Base Year
1.3 Classification of Edge Computing and Machine Learning by Type
1.3.1 Overview: Global Edge Computing and Machine Learning Market Size by Type: 2020 Versus 2024 Versus 2031
1.3.2 Global Edge Computing and Machine Learning Consumption Value Market Share by Type in 2024
1.3.3 Hardware
1.3.4 Software and Services
1.4 Global Edge Computing and Machine Learning Market by Application
1.4.1 Overview: Global Edge Computing and Machine Learning Market Size by Application: 2020 Versus 2024 Versus 2031
1.4.2 Automotive
1.4.3 Manufacturing
1.4.4 Retail
1.4.5 Agriculture
1.4.6 Healthcare
1.4.7 Other
1.5 Global Edge Computing and Machine Learning Market Size & Forecast
1.6 Global Edge Computing and Machine Learning Market Size and Forecast by Region
1.6.1 Global Edge Computing and Machine Learning Market Size by Region: 2020 VS 2024 VS 2031
1.6.2 Global Edge Computing and Machine Learning Market Size by Region, (2020-2031)
1.6.3 North America Edge Computing and Machine Learning Market Size and Prospect (2020-2031)
1.6.4 Europe Edge Computing and Machine Learning Market Size and Prospect (2020-2031)
1.6.5 Asia-Pacific Edge Computing and Machine Learning Market Size and Prospect (2020-2031)
1.6.6 South America Edge Computing and Machine Learning Market Size and Prospect (2020-2031)
1.6.7 Middle East & Africa Edge Computing and Machine Learning Market Size and Prospect (2020-2031)
2 Company Profiles
2.1 IBM
2.1.1 IBM Details
2.1.2 IBM Major Business
2.1.3 IBM Edge Computing and Machine Learning Product and Solutions
2.1.4 IBM Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.1.5 IBM Recent Developments and Future Plans
2.2 Amazon Web Services
2.2.1 Amazon Web Services Details
2.2.2 Amazon Web Services Major Business
2.2.3 Amazon Web Services Edge Computing and Machine Learning Product and Solutions
2.2.4 Amazon Web Services Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.2.5 Amazon Web Services Recent Developments and Future Plans
2.3 Microsoft
2.3.1 Microsoft Details
2.3.2 Microsoft Major Business
2.3.3 Microsoft Edge Computing and Machine Learning Product and Solutions
2.3.4 Microsoft Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.3.5 Microsoft Recent Developments and Future Plans
2.4 Cisco
2.4.1 Cisco Details
2.4.2 Cisco Major Business
2.4.3 Cisco Edge Computing and Machine Learning Product and Solutions
2.4.4 Cisco Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.4.5 Cisco Recent Developments and Future Plans
2.5 Dell Technologies
2.5.1 Dell Technologies Details
2.5.2 Dell Technologies Major Business
2.5.3 Dell Technologies Edge Computing and Machine Learning Product and Solutions
2.5.4 Dell Technologies Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.5.5 Dell Technologies Recent Developments and Future Plans
2.6 HPE
2.6.1 HPE Details
2.6.2 HPE Major Business
2.6.3 HPE Edge Computing and Machine Learning Product and Solutions
2.6.4 HPE Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.6.5 HPE Recent Developments and Future Plans
2.7 Huawei
2.7.1 Huawei Details
2.7.2 Huawei Major Business
2.7.3 Huawei Edge Computing and Machine Learning Product and Solutions
2.7.4 Huawei Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.7.5 Huawei Recent Developments and Future Plans
2.8 GE
2.8.1 GE Details
2.8.2 GE Major Business
2.8.3 GE Edge Computing and Machine Learning Product and Solutions
2.8.4 GE Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.8.5 GE Recent Developments and Future Plans
2.9 Nokia
2.9.1 Nokia Details
2.9.2 Nokia Major Business
2.9.3 Nokia Edge Computing and Machine Learning Product and Solutions
2.9.4 Nokia Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.9.5 Nokia Recent Developments and Future Plans
2.10 ADLINK
2.10.1 ADLINK Details
2.10.2 ADLINK Major Business
2.10.3 ADLINK Edge Computing and Machine Learning Product and Solutions
2.10.4 ADLINK Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.10.5 ADLINK Recent Developments and Future Plans
2.11 Litmus Automation
2.11.1 Litmus Automation Details
2.11.2 Litmus Automation Major Business
2.11.3 Litmus Automation Edge Computing and Machine Learning Product and Solutions
2.11.4 Litmus Automation Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.11.5 Litmus Automation Recent Developments and Future Plans
2.12 FogHorn Systems
2.12.1 FogHorn Systems Details
2.12.2 FogHorn Systems Major Business
2.12.3 FogHorn Systems Edge Computing and Machine Learning Product and Solutions
2.12.4 FogHorn Systems Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.12.5 FogHorn Systems Recent Developments and Future Plans
2.13 Vapor IO
2.13.1 Vapor IO Details
2.13.2 Vapor IO Major Business
2.13.3 Vapor IO Edge Computing and Machine Learning Product and Solutions
2.13.4 Vapor IO Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.13.5 Vapor IO Recent Developments and Future Plans
2.14 MachineShop (EdgeIQ)
2.14.1 MachineShop (EdgeIQ) Details
2.14.2 MachineShop (EdgeIQ) Major Business
2.14.3 MachineShop (EdgeIQ) Edge Computing and Machine Learning Product and Solutions
2.14.4 MachineShop (EdgeIQ) Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.14.5 MachineShop (EdgeIQ) Recent Developments and Future Plans
2.15 Saguna Networks
2.15.1 Saguna Networks Details
2.15.2 Saguna Networks Major Business
2.15.3 Saguna Networks Edge Computing and Machine Learning Product and Solutions
2.15.4 Saguna Networks Edge Computing and Machine Learning Revenue, Gross Margin and Market Share (2020-2025)
2.15.5 Saguna Networks Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Edge Computing and Machine Learning Revenue and Share by Players (2020-2025)
3.2 Market Share Analysis (2024)
3.2.1 Market Share of Edge Computing and Machine Learning by Company Revenue
3.2.2 Top 3 Edge Computing and Machine Learning Players Market Share in 2024
3.2.3 Top 6 Edge Computing and Machine Learning Players Market Share in 2024
3.3 Edge Computing and Machine Learning Market: Overall Company Footprint Analysis
3.3.1 Edge Computing and Machine Learning Market: Region Footprint
3.3.2 Edge Computing and Machine Learning Market: Company Product Type Footprint
3.3.3 Edge Computing and Machine Learning Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
4.1 Global Edge Computing and Machine Learning Consumption Value and Market Share by Type (2020-2025)
4.2 Global Edge Computing and Machine Learning Market Forecast by Type (2026-2031)
5 Market Size Segment by Application
5.1 Global Edge Computing and Machine Learning Consumption Value Market Share by Application (2020-2025)
5.2 Global Edge Computing and Machine Learning Market Forecast by Application (2026-2031)
6 North America
6.1 North America Edge Computing and Machine Learning Consumption Value by Type (2020-2031)
6.2 North America Edge Computing and Machine Learning Market Size by Application (2020-2031)
6.3 North America Edge Computing and Machine Learning Market Size by Country
6.3.1 North America Edge Computing and Machine Learning Consumption Value by Country (2020-2031)
6.3.2 United States Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
6.3.3 Canada Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
6.3.4 Mexico Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
7 Europe
7.1 Europe Edge Computing and Machine Learning Consumption Value by Type (2020-2031)
7.2 Europe Edge Computing and Machine Learning Consumption Value by Application (2020-2031)
7.3 Europe Edge Computing and Machine Learning Market Size by Country
7.3.1 Europe Edge Computing and Machine Learning Consumption Value by Country (2020-2031)
7.3.2 Germany Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
7.3.3 France Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
7.3.4 United Kingdom Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
7.3.5 Russia Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
7.3.6 Italy Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
8 Asia-Pacific
8.1 Asia-Pacific Edge Computing and Machine Learning Consumption Value by Type (2020-2031)
8.2 Asia-Pacific Edge Computing and Machine Learning Consumption Value by Application (2020-2031)
8.3 Asia-Pacific Edge Computing and Machine Learning Market Size by Region
8.3.1 Asia-Pacific Edge Computing and Machine Learning Consumption Value by Region (2020-2031)
8.3.2 China Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
8.3.3 Japan Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
8.3.4 South Korea Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
8.3.5 India Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
8.3.6 Southeast Asia Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
8.3.7 Australia Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
9 South America
9.1 South America Edge Computing and Machine Learning Consumption Value by Type (2020-2031)
9.2 South America Edge Computing and Machine Learning Consumption Value by Application (2020-2031)
9.3 South America Edge Computing and Machine Learning Market Size by Country
9.3.1 South America Edge Computing and Machine Learning Consumption Value by Country (2020-2031)
9.3.2 Brazil Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
9.3.3 Argentina Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
10 Middle East & Africa
10.1 Middle East & Africa Edge Computing and Machine Learning Consumption Value by Type (2020-2031)
10.2 Middle East & Africa Edge Computing and Machine Learning Consumption Value by Application (2020-2031)
10.3 Middle East & Africa Edge Computing and Machine Learning Market Size by Country
10.3.1 Middle East & Africa Edge Computing and Machine Learning Consumption Value by Country (2020-2031)
10.3.2 Turkey Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
10.3.3 Saudi Arabia Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
10.3.4 UAE Edge Computing and Machine Learning Market Size and Forecast (2020-2031)
11 Market Dynamics
11.1 Edge Computing and Machine Learning Market Drivers
11.2 Edge Computing and Machine Learning Market Restraints
11.3 Edge Computing and Machine Learning Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Edge Computing and Machine Learning Industry Chain
12.2 Edge Computing and Machine Learning Upstream Analysis
12.3 Edge Computing and Machine Learning Midstream Analysis
12.4 Edge Computing and Machine Learning Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
IBM
Amazon Web Services
Microsoft
Cisco
Dell Technologies
HPE
Huawei
GE
Nokia
ADLINK
Litmus Automation
FogHorn Systems
Vapor IO
MachineShop (EdgeIQ)
Saguna Networks
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*If Applicable.