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Global Edge Machine Learning (Edge ML) Market Research Report 2024
Published Date: July 2024
|
Report Code: QYRE-Auto-36G12795
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Global Edge Machine Learning Edge ML Market Research Report 2023
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Global Edge Machine Learning (Edge ML) Market Research Report 2024

Code: QYRE-Auto-36G12795
Report
July 2024
Pages:89
QYResearch
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES

Edge Machine Learning (Edge ML) Market

The global Edge Machine Learning (Edge ML) market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Edge Machine Learning (Edge ML) is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Edge Machine Learning (Edge ML) is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Edge Machine Learning (Edge ML) in Automotive is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Edge Machine Learning (Edge ML) include Microsoft, Edge Impulse, Imagimob, SensiML, Latent AI, Plumerai, DeGirum, NXP and Ekkono Solutions, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Edge Machine Learning (Edge ML), with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Edge Machine Learning (Edge ML).

Report Scope

The Edge Machine Learning (Edge ML) market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Edge Machine Learning (Edge ML) market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Edge Machine Learning (Edge ML) companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation

Scope of Edge Machine Learning (Edge ML) Market Report

Report Metric Details
Report Name Edge Machine Learning (Edge ML) Market
Segment by Type
  • Hardware
  • Software and Services
Segment by Application
  • Automotive
  • Manufacturing
  • Retail
  • Agriculture
  • Healthcare
  • Other
By Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • Asia-Pacific (China, Japan, South Korea)
  • Southeast Asia (India, Australia)
  • Rest of Asia
  • Latin America (Mexico, Brazil)
  • Rest of Latin America
  • Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
By Company Microsoft, Edge Impulse, Imagimob, SensiML, Latent AI, Plumerai, DeGirum, NXP, Ekkono Solutions, Mjølner Informatics, STMicroelectronics
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

  • Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
  • Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
  • Chapter 3: Detailed analysis of Edge Machine Learning (Edge ML) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
  • Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
  • Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
  • Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
  • Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
  • Chapter 12: The main points and conclusions of the report.

FAQ for this report

Who are the main players in the Edge Machine Learning (Edge ML) Market report?

Ans: The main players in the Edge Machine Learning (Edge ML) Market are Microsoft, Edge Impulse, Imagimob, SensiML, Latent AI, Plumerai, DeGirum, NXP, Ekkono Solutions, Mjølner Informatics, STMicroelectronics

What are the Application segmentation covered in the Edge Machine Learning (Edge ML) Market report?

Ans: The Applications covered in the Edge Machine Learning (Edge ML) Market report are Automotive, Manufacturing, Retail, Agriculture, Healthcare, Other

What are the Type segmentation covered in the Edge Machine Learning (Edge ML) Market report?

Ans: The Types covered in the Edge Machine Learning (Edge ML) Market report are Hardware, Software and Services

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Edge Machine Learning (Edge ML) Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software and Services
1.3 Market by Application
1.3.1 Global Edge Machine Learning (Edge ML) Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Automotive
1.3.3 Manufacturing
1.3.4 Retail
1.3.5 Agriculture
1.3.6 Healthcare
1.3.7 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Edge Machine Learning (Edge ML) Market Perspective (2019-2030)
2.2 Edge Machine Learning (Edge ML) Growth Trends by Region
2.2.1 Global Edge Machine Learning (Edge ML) Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Edge Machine Learning (Edge ML) Historic Market Size by Region (2019-2024)
2.2.3 Edge Machine Learning (Edge ML) Forecasted Market Size by Region (2025-2030)
2.3 Edge Machine Learning (Edge ML) Market Dynamics
2.3.1 Edge Machine Learning (Edge ML) Industry Trends
2.3.2 Edge Machine Learning (Edge ML) Market Drivers
2.3.3 Edge Machine Learning (Edge ML) Market Challenges
2.3.4 Edge Machine Learning (Edge ML) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Edge Machine Learning (Edge ML) Players by Revenue
3.1.1 Global Top Edge Machine Learning (Edge ML) Players by Revenue (2019-2024)
3.1.2 Global Edge Machine Learning (Edge ML) Revenue Market Share by Players (2019-2024)
3.2 Global Edge Machine Learning (Edge ML) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Edge Machine Learning (Edge ML) Revenue
3.4 Global Edge Machine Learning (Edge ML) Market Concentration Ratio
3.4.1 Global Edge Machine Learning (Edge ML) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Edge Machine Learning (Edge ML) Revenue in 2023
3.5 Edge Machine Learning (Edge ML) Key Players Head office and Area Served
3.6 Key Players Edge Machine Learning (Edge ML) Product Solution and Service
3.7 Date of Enter into Edge Machine Learning (Edge ML) Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Edge Machine Learning (Edge ML) Breakdown Data by Type
4.1 Global Edge Machine Learning (Edge ML) Historic Market Size by Type (2019-2024)
4.2 Global Edge Machine Learning (Edge ML) Forecasted Market Size by Type (2025-2030)
5 Edge Machine Learning (Edge ML) Breakdown Data by Application
5.1 Global Edge Machine Learning (Edge ML) Historic Market Size by Application (2019-2024)
5.2 Global Edge Machine Learning (Edge ML) Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Edge Machine Learning (Edge ML) Market Size (2019-2030)
6.2 North America Edge Machine Learning (Edge ML) Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Edge Machine Learning (Edge ML) Market Size by Country (2019-2024)
6.4 North America Edge Machine Learning (Edge ML) Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Edge Machine Learning (Edge ML) Market Size (2019-2030)
7.2 Europe Edge Machine Learning (Edge ML) Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Edge Machine Learning (Edge ML) Market Size by Country (2019-2024)
7.4 Europe Edge Machine Learning (Edge ML) Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Edge Machine Learning (Edge ML) Market Size (2019-2030)
8.2 Asia-Pacific Edge Machine Learning (Edge ML) Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Edge Machine Learning (Edge ML) Market Size by Region (2019-2024)
8.4 Asia-Pacific Edge Machine Learning (Edge ML) Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Edge Machine Learning (Edge ML) Market Size (2019-2030)
9.2 Latin America Edge Machine Learning (Edge ML) Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Edge Machine Learning (Edge ML) Market Size by Country (2019-2024)
9.4 Latin America Edge Machine Learning (Edge ML) Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Edge Machine Learning (Edge ML) Market Size (2019-2030)
10.2 Middle East & Africa Edge Machine Learning (Edge ML) Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Edge Machine Learning (Edge ML) Market Size by Country (2019-2024)
10.4 Middle East & Africa Edge Machine Learning (Edge ML) Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Edge Machine Learning (Edge ML) Introduction
11.1.4 Microsoft Revenue in Edge Machine Learning (Edge ML) Business (2019-2024)
11.1.5 Microsoft Recent Development
11.2 Edge Impulse
11.2.1 Edge Impulse Company Detail
11.2.2 Edge Impulse Business Overview
11.2.3 Edge Impulse Edge Machine Learning (Edge ML) Introduction
11.2.4 Edge Impulse Revenue in Edge Machine Learning (Edge ML) Business (2019-2024)
11.2.5 Edge Impulse Recent Development
11.3 Imagimob
11.3.1 Imagimob Company Detail
11.3.2 Imagimob Business Overview
11.3.3 Imagimob Edge Machine Learning (Edge ML) Introduction
11.3.4 Imagimob Revenue in Edge Machine Learning (Edge ML) Business (2019-2024)
11.3.5 Imagimob Recent Development
11.4 SensiML
11.4.1 SensiML Company Detail
11.4.2 SensiML Business Overview
11.4.3 SensiML Edge Machine Learning (Edge ML) Introduction
11.4.4 SensiML Revenue in Edge Machine Learning (Edge ML) Business (2019-2024)
11.4.5 SensiML Recent Development
11.5 Latent AI
11.5.1 Latent AI Company Detail
11.5.2 Latent AI Business Overview
11.5.3 Latent AI Edge Machine Learning (Edge ML) Introduction
11.5.4 Latent AI Revenue in Edge Machine Learning (Edge ML) Business (2019-2024)
11.5.5 Latent AI Recent Development
11.6 Plumerai
11.6.1 Plumerai Company Detail
11.6.2 Plumerai Business Overview
11.6.3 Plumerai Edge Machine Learning (Edge ML) Introduction
11.6.4 Plumerai Revenue in Edge Machine Learning (Edge ML) Business (2019-2024)
11.6.5 Plumerai Recent Development
11.7 DeGirum
11.7.1 DeGirum Company Detail
11.7.2 DeGirum Business Overview
11.7.3 DeGirum Edge Machine Learning (Edge ML) Introduction
11.7.4 DeGirum Revenue in Edge Machine Learning (Edge ML) Business (2019-2024)
11.7.5 DeGirum Recent Development
11.8 NXP
11.8.1 NXP Company Detail
11.8.2 NXP Business Overview
11.8.3 NXP Edge Machine Learning (Edge ML) Introduction
11.8.4 NXP Revenue in Edge Machine Learning (Edge ML) Business (2019-2024)
11.8.5 NXP Recent Development
11.9 Ekkono Solutions
11.9.1 Ekkono Solutions Company Detail
11.9.2 Ekkono Solutions Business Overview
11.9.3 Ekkono Solutions Edge Machine Learning (Edge ML) Introduction
11.9.4 Ekkono Solutions Revenue in Edge Machine Learning (Edge ML) Business (2019-2024)
11.9.5 Ekkono Solutions Recent Development
11.10 Mjølner Informatics
11.10.1 Mjølner Informatics Company Detail
11.10.2 Mjølner Informatics Business Overview
11.10.3 Mjølner Informatics Edge Machine Learning (Edge ML) Introduction
11.10.4 Mjølner Informatics Revenue in Edge Machine Learning (Edge ML) Business (2019-2024)
11.10.5 Mjølner Informatics Recent Development
11.11 STMicroelectronics
11.11.1 STMicroelectronics Company Detail
11.11.2 STMicroelectronics Business Overview
11.11.3 STMicroelectronics Edge Machine Learning (Edge ML) Introduction
11.11.4 STMicroelectronics Revenue in Edge Machine Learning (Edge ML) Business (2019-2024)
11.11.5 STMicroelectronics Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
List of Tables
    Table 1. Global Edge Machine Learning (Edge ML) Market Size Growth Rate by Type (US$ Million): 2019 VS 2023 VS 2030
    Table 2. Key Players of Hardware
    Table 3. Key Players of Software and Services
    Table 4. Global Edge Machine Learning (Edge ML) Market Size Growth by Application (US$ Million): 2019 VS 2023 VS 2030
    Table 5. Global Edge Machine Learning (Edge ML) Market Size by Region (US$ Million): 2019 VS 2023 VS 2030
    Table 6. Global Edge Machine Learning (Edge ML) Market Size by Region (2019-2024) & (US$ Million)
    Table 7. Global Edge Machine Learning (Edge ML) Market Share by Region (2019-2024)
    Table 8. Global Edge Machine Learning (Edge ML) Forecasted Market Size by Region (2025-2030) & (US$ Million)
    Table 9. Global Edge Machine Learning (Edge ML) Market Share by Region (2025-2030)
    Table 10. Edge Machine Learning (Edge ML) Market Trends
    Table 11. Edge Machine Learning (Edge ML) Market Drivers
    Table 12. Edge Machine Learning (Edge ML) Market Challenges
    Table 13. Edge Machine Learning (Edge ML) Market Restraints
    Table 14. Global Edge Machine Learning (Edge ML) Revenue by Players (2019-2024) & (US$ Million)
    Table 15. Global Edge Machine Learning (Edge ML) Market Share by Players (2019-2024)
    Table 16. Global Top Edge Machine Learning (Edge ML) Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Edge Machine Learning (Edge ML) as of 2023)
    Table 17. Ranking of Global Top Edge Machine Learning (Edge ML) Companies by Revenue (US$ Million) in 2023
    Table 18. Global 5 Largest Players Market Share by Edge Machine Learning (Edge ML) Revenue (CR5 and HHI) & (2019-2024)
    Table 19. Key Players Headquarters and Area Served
    Table 20. Key Players Edge Machine Learning (Edge ML) Product Solution and Service
    Table 21. Date of Enter into Edge Machine Learning (Edge ML) Market
    Table 22. Mergers & Acquisitions, Expansion Plans
    Table 23. Global Edge Machine Learning (Edge ML) Market Size by Type (2019-2024) & (US$ Million)
    Table 24. Global Edge Machine Learning (Edge ML) Revenue Market Share by Type (2019-2024)
    Table 25. Global Edge Machine Learning (Edge ML) Forecasted Market Size by Type (2025-2030) & (US$ Million)
    Table 26. Global Edge Machine Learning (Edge ML) Revenue Market Share by Type (2025-2030)
    Table 27. Global Edge Machine Learning (Edge ML) Market Size by Application (2019-2024) & (US$ Million)
    Table 28. Global Edge Machine Learning (Edge ML) Revenue Market Share by Application (2019-2024)
    Table 29. Global Edge Machine Learning (Edge ML) Forecasted Market Size by Application (2025-2030) & (US$ Million)
    Table 30. Global Edge Machine Learning (Edge ML) Revenue Market Share by Application (2025-2030)
    Table 31. North America Edge Machine Learning (Edge ML) Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
    Table 32. North America Edge Machine Learning (Edge ML) Market Size by Country (2019-2024) & (US$ Million)
    Table 33. North America Edge Machine Learning (Edge ML) Market Size by Country (2025-2030) & (US$ Million)
    Table 34. Europe Edge Machine Learning (Edge ML) Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
    Table 35. Europe Edge Machine Learning (Edge ML) Market Size by Country (2019-2024) & (US$ Million)
    Table 36. Europe Edge Machine Learning (Edge ML) Market Size by Country (2025-2030) & (US$ Million)
    Table 37. Asia-Pacific Edge Machine Learning (Edge ML) Market Size Growth Rate by Region (US$ Million): 2019 VS 2023 VS 2030
    Table 38. Asia-Pacific Edge Machine Learning (Edge ML) Market Size by Region (2019-2024) & (US$ Million)
    Table 39. Asia-Pacific Edge Machine Learning (Edge ML) Market Size by Region (2025-2030) & (US$ Million)
    Table 40. Latin America Edge Machine Learning (Edge ML) Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
    Table 41. Latin America Edge Machine Learning (Edge ML) Market Size by Country (2019-2024) & (US$ Million)
    Table 42. Latin America Edge Machine Learning (Edge ML) Market Size by Country (2025-2030) & (US$ Million)
    Table 43. Middle East & Africa Edge Machine Learning (Edge ML) Market Size Growth Rate by Country (US$ Million): 2019 VS 2023 VS 2030
    Table 44. Middle East & Africa Edge Machine Learning (Edge ML) Market Size by Country (2019-2024) & (US$ Million)
    Table 45. Middle East & Africa Edge Machine Learning (Edge ML) Market Size by Country (2025-2030) & (US$ Million)
    Table 46. Microsoft Company Detail
    Table 47. Microsoft Business Overview
    Table 48. Microsoft Edge Machine Learning (Edge ML) Product
    Table 49. Microsoft Revenue in Edge Machine Learning (Edge ML) Business (2019-2024) & (US$ Million)
    Table 50. Microsoft Recent Development
    Table 51. Edge Impulse Company Detail
    Table 52. Edge Impulse Business Overview
    Table 53. Edge Impulse Edge Machine Learning (Edge ML) Product
    Table 54. Edge Impulse Revenue in Edge Machine Learning (Edge ML) Business (2019-2024) & (US$ Million)
    Table 55. Edge Impulse Recent Development
    Table 56. Imagimob Company Detail
    Table 57. Imagimob Business Overview
    Table 58. Imagimob Edge Machine Learning (Edge ML) Product
    Table 59. Imagimob Revenue in Edge Machine Learning (Edge ML) Business (2019-2024) & (US$ Million)
    Table 60. Imagimob Recent Development
    Table 61. SensiML Company Detail
    Table 62. SensiML Business Overview
    Table 63. SensiML Edge Machine Learning (Edge ML) Product
    Table 64. SensiML Revenue in Edge Machine Learning (Edge ML) Business (2019-2024) & (US$ Million)
    Table 65. SensiML Recent Development
    Table 66. Latent AI Company Detail
    Table 67. Latent AI Business Overview
    Table 68. Latent AI Edge Machine Learning (Edge ML) Product
    Table 69. Latent AI Revenue in Edge Machine Learning (Edge ML) Business (2019-2024) & (US$ Million)
    Table 70. Latent AI Recent Development
    Table 71. Plumerai Company Detail
    Table 72. Plumerai Business Overview
    Table 73. Plumerai Edge Machine Learning (Edge ML) Product
    Table 74. Plumerai Revenue in Edge Machine Learning (Edge ML) Business (2019-2024) & (US$ Million)
    Table 75. Plumerai Recent Development
    Table 76. DeGirum Company Detail
    Table 77. DeGirum Business Overview
    Table 78. DeGirum Edge Machine Learning (Edge ML) Product
    Table 79. DeGirum Revenue in Edge Machine Learning (Edge ML) Business (2019-2024) & (US$ Million)
    Table 80. DeGirum Recent Development
    Table 81. NXP Company Detail
    Table 82. NXP Business Overview
    Table 83. NXP Edge Machine Learning (Edge ML) Product
    Table 84. NXP Revenue in Edge Machine Learning (Edge ML) Business (2019-2024) & (US$ Million)
    Table 85. NXP Recent Development
    Table 86. Ekkono Solutions Company Detail
    Table 87. Ekkono Solutions Business Overview
    Table 88. Ekkono Solutions Edge Machine Learning (Edge ML) Product
    Table 89. Ekkono Solutions Revenue in Edge Machine Learning (Edge ML) Business (2019-2024) & (US$ Million)
    Table 90. Ekkono Solutions Recent Development
    Table 91. Mjølner Informatics Company Detail
    Table 92. Mjølner Informatics Business Overview
    Table 93. Mjølner Informatics Edge Machine Learning (Edge ML) Product
    Table 94. Mjølner Informatics Revenue in Edge Machine Learning (Edge ML) Business (2019-2024) & (US$ Million)
    Table 95. Mjølner Informatics Recent Development
    Table 96. STMicroelectronics Company Detail
    Table 97. STMicroelectronics Business Overview
    Table 98. STMicroelectronics Edge Machine Learning (Edge ML) Product
    Table 99. STMicroelectronics Revenue in Edge Machine Learning (Edge ML) Business (2019-2024) & (US$ Million)
    Table 100. STMicroelectronics Recent Development
    Table 101. Research Programs/Design for This Report
    Table 102. Key Data Information from Secondary Sources
    Table 103. Key Data Information from Primary Sources
List of Figures
    Figure 1. Global Edge Machine Learning (Edge ML) Market Size Comparison by Type (2024-2030) & (US$ Million)
    Figure 2. Global Edge Machine Learning (Edge ML) Market Share by Type: 2023 VS 2030
    Figure 3. Hardware Features
    Figure 4. Software and Services Features
    Figure 5. Global Edge Machine Learning (Edge ML) Market Size Comparison by Application (2024-2030) & (US$ Million)
    Figure 6. Global Edge Machine Learning (Edge ML) Market Share by Application: 2023 VS 2030
    Figure 7. Automotive Case Studies
    Figure 8. Manufacturing Case Studies
    Figure 9. Retail Case Studies
    Figure 10. Agriculture Case Studies
    Figure 11. Healthcare Case Studies
    Figure 12. Other Case Studies
    Figure 13. Edge Machine Learning (Edge ML) Report Years Considered
    Figure 14. Global Edge Machine Learning (Edge ML) Market Size (US$ Million), Year-over-Year: 2019-2030
    Figure 15. Global Edge Machine Learning (Edge ML) Market Size, (US$ Million), 2019 VS 2023 VS 2030
    Figure 16. Global Edge Machine Learning (Edge ML) Market Share by Region: 2023 VS 2030
    Figure 17. Global Edge Machine Learning (Edge ML) Market Share by Players in 2023
    Figure 18. Global Top Edge Machine Learning (Edge ML) Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Edge Machine Learning (Edge ML) as of 2023)
    Figure 19. The Top 10 and 5 Players Market Share by Edge Machine Learning (Edge ML) Revenue in 2023
    Figure 20. North America Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 21. North America Edge Machine Learning (Edge ML) Market Share by Country (2019-2030)
    Figure 22. United States Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 23. Canada Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 24. Europe Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 25. Europe Edge Machine Learning (Edge ML) Market Share by Country (2019-2030)
    Figure 26. Germany Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 27. France Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 28. U.K. Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 29. Italy Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 30. Russia Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 31. Nordic Countries Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 32. Asia-Pacific Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 33. Asia-Pacific Edge Machine Learning (Edge ML) Market Share by Region (2019-2030)
    Figure 34. China Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 35. Japan Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 36. South Korea Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 37. Southeast Asia Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 38. India Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 39. Australia Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 40. Latin America Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 41. Latin America Edge Machine Learning (Edge ML) Market Share by Country (2019-2030)
    Figure 42. Mexico Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 43. Brazil Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 44. Middle East & Africa Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 45. Middle East & Africa Edge Machine Learning (Edge ML) Market Share by Country (2019-2030)
    Figure 46. Turkey Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 47. Saudi Arabia Edge Machine Learning (Edge ML) Market Size YoY Growth (2019-2030) & (US$ Million)
    Figure 48. Microsoft Revenue Growth Rate in Edge Machine Learning (Edge ML) Business (2019-2024)
    Figure 49. Edge Impulse Revenue Growth Rate in Edge Machine Learning (Edge ML) Business (2019-2024)
    Figure 50. Imagimob Revenue Growth Rate in Edge Machine Learning (Edge ML) Business (2019-2024)
    Figure 51. SensiML Revenue Growth Rate in Edge Machine Learning (Edge ML) Business (2019-2024)
    Figure 52. Latent AI Revenue Growth Rate in Edge Machine Learning (Edge ML) Business (2019-2024)
    Figure 53. Plumerai Revenue Growth Rate in Edge Machine Learning (Edge ML) Business (2019-2024)
    Figure 54. DeGirum Revenue Growth Rate in Edge Machine Learning (Edge ML) Business (2019-2024)
    Figure 55. NXP Revenue Growth Rate in Edge Machine Learning (Edge ML) Business (2019-2024)
    Figure 56. Ekkono Solutions Revenue Growth Rate in Edge Machine Learning (Edge ML) Business (2019-2024)
    Figure 57. Mjølner Informatics Revenue Growth Rate in Edge Machine Learning (Edge ML) Business (2019-2024)
    Figure 58. STMicroelectronics Revenue Growth Rate in Edge Machine Learning (Edge ML) Business (2019-2024)
    Figure 59. Bottom-up and Top-down Approaches for This Report
    Figure 60. Data Triangulation
    Figure 61. Key Executives Interviewed
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