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Global Machine Learning Software Market Research Report 2024
Synopsis
Machine learning (ML) is a category of algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.
The global Machine Learning Software market was valued at US$ 3997.7 million in 2023 and is anticipated to reach US$ 31360 million by 2030, witnessing a CAGR of 33.6% during the forecast period 2024-2030.
North American market for Machine Learning Software 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 Machine Learning Software 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 Machine Learning Software in Large Enterprises 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 Machine Learning Software include Microsoft, Google, TensorFlow, Kount, Warwick Analytics, Valohai, Torch, Apache SINGA and AWS, 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 Machine Learning Software, 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 Machine Learning Software.
Report Scope
The Machine Learning Software 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 Machine Learning Software 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 Machine Learning Software 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
By Company
Microsoft
Google
TensorFlow
Kount
Warwick Analytics
Valohai
Torch
Apache SINGA
AWS
BigML
Figure Eight
Floyd Labs
Segment by Type
On-Premises
Cloud Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
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
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 Machine Learning Software 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.
Machine learning (ML) is a category of algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.
The global Machine Learning Software market was valued at US$ 3997.7 million in 2023 and is anticipated to reach US$ 31360 million by 2030, witnessing a CAGR of 33.6% during the forecast period 2024-2030.
North American market for Machine Learning Software 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 Machine Learning Software 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 Machine Learning Software in Large Enterprises 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 Machine Learning Software include Microsoft, Google, TensorFlow, Kount, Warwick Analytics, Valohai, Torch, Apache SINGA and AWS, 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 Machine Learning Software, 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 Machine Learning Software.
Report Scope
The Machine Learning Software 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 Machine Learning Software 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 Machine Learning Software 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
By Company
Microsoft
TensorFlow
Kount
Warwick Analytics
Valohai
Torch
Apache SINGA
AWS
BigML
Figure Eight
Floyd Labs
Segment by Type
On-Premises
Cloud Based
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
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
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 Machine Learning Software 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premises
1.2.3 Cloud Based
1.3 Market by Application
1.3.1 Global Machine Learning Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning Software Market Perspective (2019-2030)
2.2 Machine Learning Software Growth Trends by Region
2.2.1 Global Machine Learning Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning Software Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning Software Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning Software Market Dynamics
2.3.1 Machine Learning Software Industry Trends
2.3.2 Machine Learning Software Market Drivers
2.3.3 Machine Learning Software Market Challenges
2.3.4 Machine Learning Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning Software Players by Revenue
3.1.1 Global Top Machine Learning Software Players by Revenue (2019-2024)
3.1.2 Global Machine Learning Software Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning Software Revenue
3.4 Global Machine Learning Software Market Concentration Ratio
3.4.1 Global Machine Learning Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning Software Revenue in 2023
3.5 Machine Learning Software Key Players Head office and Area Served
3.6 Key Players Machine Learning Software Product Solution and Service
3.7 Date of Enter into Machine Learning Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning Software Breakdown Data by Type
4.1 Global Machine Learning Software Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning Software Forecasted Market Size by Type (2025-2030)
5 Machine Learning Software Breakdown Data by Application
5.1 Global Machine Learning Software Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning Software Market Size (2019-2030)
6.2 North America Machine Learning Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Machine Learning Software Market Size by Country (2019-2024)
6.4 North America Machine Learning Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning Software Market Size (2019-2030)
7.2 Europe Machine Learning Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Machine Learning Software Market Size by Country (2019-2024)
7.4 Europe Machine Learning Software 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 Machine Learning Software Market Size (2019-2030)
8.2 Asia-Pacific Machine Learning Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Machine Learning Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Machine Learning Software 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 Machine Learning Software Market Size (2019-2030)
9.2 Latin America Machine Learning Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Machine Learning Software Market Size by Country (2019-2024)
9.4 Latin America Machine Learning Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning Software Market Size (2019-2030)
10.2 Middle East & Africa Machine Learning Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Machine Learning Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Machine Learning Software 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 Machine Learning Software Introduction
11.1.4 Microsoft Revenue in Machine Learning Software Business (2019-2024)
11.1.5 Microsoft Recent Development
11.2 Google
11.2.1 Google Company Detail
11.2.2 Google Business Overview
11.2.3 Google Machine Learning Software Introduction
11.2.4 Google Revenue in Machine Learning Software Business (2019-2024)
11.2.5 Google Recent Development
11.3 TensorFlow
11.3.1 TensorFlow Company Detail
11.3.2 TensorFlow Business Overview
11.3.3 TensorFlow Machine Learning Software Introduction
11.3.4 TensorFlow Revenue in Machine Learning Software Business (2019-2024)
11.3.5 TensorFlow Recent Development
11.4 Kount
11.4.1 Kount Company Detail
11.4.2 Kount Business Overview
11.4.3 Kount Machine Learning Software Introduction
11.4.4 Kount Revenue in Machine Learning Software Business (2019-2024)
11.4.5 Kount Recent Development
11.5 Warwick Analytics
11.5.1 Warwick Analytics Company Detail
11.5.2 Warwick Analytics Business Overview
11.5.3 Warwick Analytics Machine Learning Software Introduction
11.5.4 Warwick Analytics Revenue in Machine Learning Software Business (2019-2024)
11.5.5 Warwick Analytics Recent Development
11.6 Valohai
11.6.1 Valohai Company Detail
11.6.2 Valohai Business Overview
11.6.3 Valohai Machine Learning Software Introduction
11.6.4 Valohai Revenue in Machine Learning Software Business (2019-2024)
11.6.5 Valohai Recent Development
11.7 Torch
11.7.1 Torch Company Detail
11.7.2 Torch Business Overview
11.7.3 Torch Machine Learning Software Introduction
11.7.4 Torch Revenue in Machine Learning Software Business (2019-2024)
11.7.5 Torch Recent Development
11.8 Apache SINGA
11.8.1 Apache SINGA Company Detail
11.8.2 Apache SINGA Business Overview
11.8.3 Apache SINGA Machine Learning Software Introduction
11.8.4 Apache SINGA Revenue in Machine Learning Software Business (2019-2024)
11.8.5 Apache SINGA Recent Development
11.9 AWS
11.9.1 AWS Company Detail
11.9.2 AWS Business Overview
11.9.3 AWS Machine Learning Software Introduction
11.9.4 AWS Revenue in Machine Learning Software Business (2019-2024)
11.9.5 AWS Recent Development
11.10 BigML
11.10.1 BigML Company Detail
11.10.2 BigML Business Overview
11.10.3 BigML Machine Learning Software Introduction
11.10.4 BigML Revenue in Machine Learning Software Business (2019-2024)
11.10.5 BigML Recent Development
11.11 Figure Eight
11.11.1 Figure Eight Company Detail
11.11.2 Figure Eight Business Overview
11.11.3 Figure Eight Machine Learning Software Introduction
11.11.4 Figure Eight Revenue in Machine Learning Software Business (2019-2024)
11.11.5 Figure Eight Recent Development
11.12 Floyd Labs
11.12.1 Floyd Labs Company Detail
11.12.2 Floyd Labs Business Overview
11.12.3 Floyd Labs Machine Learning Software Introduction
11.12.4 Floyd Labs Revenue in Machine Learning Software Business (2019-2024)
11.12.5 Floyd Labs 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
Published By : QY Research
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