The global Edge Machine Learning (Edge ML) 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 Machine Learning (Edge ML) 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 Machine Learning (Edge ML) market size and forecasts, in consumption value ($ Million), 2020-2031
Global Edge Machine Learning (Edge ML) market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Edge Machine Learning (Edge ML) market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Edge Machine Learning (Edge ML) 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 Machine Learning (Edge ML)
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 Machine Learning (Edge ML) 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 Microsoft, Edge Impulse, Imagimob, SensiML, Latent AI, Plumerai, DeGirum, NXP, Ekkono Solutions, Mj酶lner Informatics, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Edge Machine Learning (Edge ML) 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
Microsoft
Edge Impulse
Imagimob
SensiML
Latent AI
Plumerai
DeGirum
NXP
Ekkono Solutions
Mj酶lner Informatics
STMicroelectronics
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 Machine Learning (Edge ML) product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Edge Machine Learning (Edge ML), with revenue, gross margin, and global market share of Edge Machine Learning (Edge ML) from 2020 to 2025.
Chapter 3, the Edge Machine Learning (Edge ML) 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 Machine Learning (Edge ML) 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 Machine Learning (Edge ML).
Chapter 13, to describe Edge Machine Learning (Edge ML) 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 Machine Learning (Edge ML) by Type
1.3.1 Overview: Global Edge Machine Learning (Edge ML) Market Size by Type: 2020 Versus 2024 Versus 2031
1.3.2 Global Edge Machine Learning (Edge ML) Consumption Value Market Share by Type in 2024
1.3.3 Hardware
1.3.4 Software and Services
1.4 Global Edge Machine Learning (Edge ML) Market by Application
1.4.1 Overview: Global Edge Machine Learning (Edge ML) 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 Machine Learning (Edge ML) Market Size & Forecast
1.6 Global Edge Machine Learning (Edge ML) Market Size and Forecast by Region
1.6.1 Global Edge Machine Learning (Edge ML) Market Size by Region: 2020 VS 2024 VS 2031
1.6.2 Global Edge Machine Learning (Edge ML) Market Size by Region, (2020-2031)
1.6.3 North America Edge Machine Learning (Edge ML) Market Size and Prospect (2020-2031)
1.6.4 Europe Edge Machine Learning (Edge ML) Market Size and Prospect (2020-2031)
1.6.5 Asia-Pacific Edge Machine Learning (Edge ML) Market Size and Prospect (2020-2031)
1.6.6 South America Edge Machine Learning (Edge ML) Market Size and Prospect (2020-2031)
1.6.7 Middle East & Africa Edge Machine Learning (Edge ML) Market Size and Prospect (2020-2031)
2 Company Profiles
2.1 Microsoft
2.1.1 Microsoft Details
2.1.2 Microsoft Major Business
2.1.3 Microsoft Edge Machine Learning (Edge ML) Product and Solutions
2.1.4 Microsoft Edge Machine Learning (Edge ML) Revenue, Gross Margin and Market Share (2020-2025)
2.1.5 Microsoft Recent Developments and Future Plans
2.2 Edge Impulse
2.2.1 Edge Impulse Details
2.2.2 Edge Impulse Major Business
2.2.3 Edge Impulse Edge Machine Learning (Edge ML) Product and Solutions
2.2.4 Edge Impulse Edge Machine Learning (Edge ML) Revenue, Gross Margin and Market Share (2020-2025)
2.2.5 Edge Impulse Recent Developments and Future Plans
2.3 Imagimob
2.3.1 Imagimob Details
2.3.2 Imagimob Major Business
2.3.3 Imagimob Edge Machine Learning (Edge ML) Product and Solutions
2.3.4 Imagimob Edge Machine Learning (Edge ML) Revenue, Gross Margin and Market Share (2020-2025)
2.3.5 Imagimob Recent Developments and Future Plans
2.4 SensiML
2.4.1 SensiML Details
2.4.2 SensiML Major Business
2.4.3 SensiML Edge Machine Learning (Edge ML) Product and Solutions
2.4.4 SensiML Edge Machine Learning (Edge ML) Revenue, Gross Margin and Market Share (2020-2025)
2.4.5 SensiML Recent Developments and Future Plans
2.5 Latent AI
2.5.1 Latent AI Details
2.5.2 Latent AI Major Business
2.5.3 Latent AI Edge Machine Learning (Edge ML) Product and Solutions
2.5.4 Latent AI Edge Machine Learning (Edge ML) Revenue, Gross Margin and Market Share (2020-2025)
2.5.5 Latent AI Recent Developments and Future Plans
2.6 Plumerai
2.6.1 Plumerai Details
2.6.2 Plumerai Major Business
2.6.3 Plumerai Edge Machine Learning (Edge ML) Product and Solutions
2.6.4 Plumerai Edge Machine Learning (Edge ML) Revenue, Gross Margin and Market Share (2020-2025)
2.6.5 Plumerai Recent Developments and Future Plans
2.7 DeGirum
2.7.1 DeGirum Details
2.7.2 DeGirum Major Business
2.7.3 DeGirum Edge Machine Learning (Edge ML) Product and Solutions
2.7.4 DeGirum Edge Machine Learning (Edge ML) Revenue, Gross Margin and Market Share (2020-2025)
2.7.5 DeGirum Recent Developments and Future Plans
2.8 NXP
2.8.1 NXP Details
2.8.2 NXP Major Business
2.8.3 NXP Edge Machine Learning (Edge ML) Product and Solutions
2.8.4 NXP Edge Machine Learning (Edge ML) Revenue, Gross Margin and Market Share (2020-2025)
2.8.5 NXP Recent Developments and Future Plans
2.9 Ekkono Solutions
2.9.1 Ekkono Solutions Details
2.9.2 Ekkono Solutions Major Business
2.9.3 Ekkono Solutions Edge Machine Learning (Edge ML) Product and Solutions
2.9.4 Ekkono Solutions Edge Machine Learning (Edge ML) Revenue, Gross Margin and Market Share (2020-2025)
2.9.5 Ekkono Solutions Recent Developments and Future Plans
2.10 Mj酶lner Informatics
2.10.1 Mj酶lner Informatics Details
2.10.2 Mj酶lner Informatics Major Business
2.10.3 Mj酶lner Informatics Edge Machine Learning (Edge ML) Product and Solutions
2.10.4 Mj酶lner Informatics Edge Machine Learning (Edge ML) Revenue, Gross Margin and Market Share (2020-2025)
2.10.5 Mj酶lner Informatics Recent Developments and Future Plans
2.11 STMicroelectronics
2.11.1 STMicroelectronics Details
2.11.2 STMicroelectronics Major Business
2.11.3 STMicroelectronics Edge Machine Learning (Edge ML) Product and Solutions
2.11.4 STMicroelectronics Edge Machine Learning (Edge ML) Revenue, Gross Margin and Market Share (2020-2025)
2.11.5 STMicroelectronics Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Edge Machine Learning (Edge ML) Revenue and Share by Players (2020-2025)
3.2 Market Share Analysis (2024)
3.2.1 Market Share of Edge Machine Learning (Edge ML) by Company Revenue
3.2.2 Top 3 Edge Machine Learning (Edge ML) Players Market Share in 2024
3.2.3 Top 6 Edge Machine Learning (Edge ML) Players Market Share in 2024
3.3 Edge Machine Learning (Edge ML) Market: Overall Company Footprint Analysis
3.3.1 Edge Machine Learning (Edge ML) Market: Region Footprint
3.3.2 Edge Machine Learning (Edge ML) Market: Company Product Type Footprint
3.3.3 Edge Machine Learning (Edge ML) 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 Machine Learning (Edge ML) Consumption Value and Market Share by Type (2020-2025)
4.2 Global Edge Machine Learning (Edge ML) Market Forecast by Type (2026-2031)
5 Market Size Segment by Application
5.1 Global Edge Machine Learning (Edge ML) Consumption Value Market Share by Application (2020-2025)
5.2 Global Edge Machine Learning (Edge ML) Market Forecast by Application (2026-2031)
6 North America
6.1 North America Edge Machine Learning (Edge ML) Consumption Value by Type (2020-2031)
6.2 North America Edge Machine Learning (Edge ML) Market Size by Application (2020-2031)
6.3 North America Edge Machine Learning (Edge ML) Market Size by Country
6.3.1 North America Edge Machine Learning (Edge ML) Consumption Value by Country (2020-2031)
6.3.2 United States Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
6.3.3 Canada Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
6.3.4 Mexico Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
7 Europe
7.1 Europe Edge Machine Learning (Edge ML) Consumption Value by Type (2020-2031)
7.2 Europe Edge Machine Learning (Edge ML) Consumption Value by Application (2020-2031)
7.3 Europe Edge Machine Learning (Edge ML) Market Size by Country
7.3.1 Europe Edge Machine Learning (Edge ML) Consumption Value by Country (2020-2031)
7.3.2 Germany Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
7.3.3 France Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
7.3.4 United Kingdom Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
7.3.5 Russia Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
7.3.6 Italy Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
8 Asia-Pacific
8.1 Asia-Pacific Edge Machine Learning (Edge ML) Consumption Value by Type (2020-2031)
8.2 Asia-Pacific Edge Machine Learning (Edge ML) Consumption Value by Application (2020-2031)
8.3 Asia-Pacific Edge Machine Learning (Edge ML) Market Size by Region
8.3.1 Asia-Pacific Edge Machine Learning (Edge ML) Consumption Value by Region (2020-2031)
8.3.2 China Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
8.3.3 Japan Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
8.3.4 South Korea Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
8.3.5 India Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
8.3.6 Southeast Asia Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
8.3.7 Australia Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
9 South America
9.1 South America Edge Machine Learning (Edge ML) Consumption Value by Type (2020-2031)
9.2 South America Edge Machine Learning (Edge ML) Consumption Value by Application (2020-2031)
9.3 South America Edge Machine Learning (Edge ML) Market Size by Country
9.3.1 South America Edge Machine Learning (Edge ML) Consumption Value by Country (2020-2031)
9.3.2 Brazil Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
9.3.3 Argentina Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
10 Middle East & Africa
10.1 Middle East & Africa Edge Machine Learning (Edge ML) Consumption Value by Type (2020-2031)
10.2 Middle East & Africa Edge Machine Learning (Edge ML) Consumption Value by Application (2020-2031)
10.3 Middle East & Africa Edge Machine Learning (Edge ML) Market Size by Country
10.3.1 Middle East & Africa Edge Machine Learning (Edge ML) Consumption Value by Country (2020-2031)
10.3.2 Turkey Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
10.3.3 Saudi Arabia Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
10.3.4 UAE Edge Machine Learning (Edge ML) Market Size and Forecast (2020-2031)
11 Market Dynamics
11.1 Edge Machine Learning (Edge ML) Market Drivers
11.2 Edge Machine Learning (Edge ML) Market Restraints
11.3 Edge Machine Learning (Edge ML) 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 Machine Learning (Edge ML) Industry Chain
12.2 Edge Machine Learning (Edge ML) Upstream Analysis
12.3 Edge Machine Learning (Edge ML) Midstream Analysis
12.4 Edge Machine Learning (Edge ML) Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
Microsoft
Edge Impulse
Imagimob
SensiML
Latent AI
Plumerai
DeGirum
NXP
Ekkono Solutions
Mj酶lner Informatics
STMicroelectronics
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*If Applicable.