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Global Data Science and Machine Learning Service Market Research Report 2024
Synopsis
The global Data Science and Machine Learning Service 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 Data Science and Machine Learning Service 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 Data Science and Machine Learning Service 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 Data Science and Machine Learning Service in Banking 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 Data Science and Machine Learning Service include DataScience.com, ZS, LatentView Analytics, Mango Solutions, Microsoft, International Business Machine, Amazon Web Services, Google and Bigml, 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 Data Science and Machine Learning Service, 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 Data Science and Machine Learning Service.
Report Scope
The Data Science and Machine Learning Service 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 Data Science and Machine Learning Service 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 Data Science and Machine Learning Service 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
DataScience.com
ZS
LatentView Analytics
Mango Solutions
Microsoft
International Business Machine
Amazon Web Services
Google
Bigml
Fico
Hewlett-Packard Enterprise Development
At&T
Segment by Type
Consulting
Management Solution
Segment by Application
Banking
Insurance
Retail
Media & Entertainment
Others
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 Data Science and Machine Learning Service 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.
The global Data Science and Machine Learning Service 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 Data Science and Machine Learning Service 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 Data Science and Machine Learning Service 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 Data Science and Machine Learning Service in Banking 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 Data Science and Machine Learning Service include DataScience.com, ZS, LatentView Analytics, Mango Solutions, Microsoft, International Business Machine, Amazon Web Services, Google and Bigml, 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 Data Science and Machine Learning Service, 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 Data Science and Machine Learning Service.
Report Scope
The Data Science and Machine Learning Service 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 Data Science and Machine Learning Service 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 Data Science and Machine Learning Service 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
DataScience.com
ZS
LatentView Analytics
Mango Solutions
Microsoft
International Business Machine
Amazon Web Services
Bigml
Fico
Hewlett-Packard Enterprise Development
At&T
Segment by Type
Consulting
Management Solution
Segment by Application
Banking
Insurance
Retail
Media & Entertainment
Others
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 Data Science and Machine Learning Service 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 Data Science and Machine Learning Service Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Consulting
1.2.3 Management Solution
1.3 Market by Application
1.3.1 Global Data Science and Machine Learning Service Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Banking
1.3.3 Insurance
1.3.4 Retail
1.3.5 Media & Entertainment
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Science and Machine Learning Service Market Perspective (2019-2030)
2.2 Data Science and Machine Learning Service Growth Trends by Region
2.2.1 Global Data Science and Machine Learning Service Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Data Science and Machine Learning Service Historic Market Size by Region (2019-2024)
2.2.3 Data Science and Machine Learning Service Forecasted Market Size by Region (2025-2030)
2.3 Data Science and Machine Learning Service Market Dynamics
2.3.1 Data Science and Machine Learning Service Industry Trends
2.3.2 Data Science and Machine Learning Service Market Drivers
2.3.3 Data Science and Machine Learning Service Market Challenges
2.3.4 Data Science and Machine Learning Service Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Science and Machine Learning Service Players by Revenue
3.1.1 Global Top Data Science and Machine Learning Service Players by Revenue (2019-2024)
3.1.2 Global Data Science and Machine Learning Service Revenue Market Share by Players (2019-2024)
3.2 Global Data Science and Machine Learning Service Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Science and Machine Learning Service Revenue
3.4 Global Data Science and Machine Learning Service Market Concentration Ratio
3.4.1 Global Data Science and Machine Learning Service Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Science and Machine Learning Service Revenue in 2023
3.5 Data Science and Machine Learning Service Key Players Head office and Area Served
3.6 Key Players Data Science and Machine Learning Service Product Solution and Service
3.7 Date of Enter into Data Science and Machine Learning Service Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Science and Machine Learning Service Breakdown Data by Type
4.1 Global Data Science and Machine Learning Service Historic Market Size by Type (2019-2024)
4.2 Global Data Science and Machine Learning Service Forecasted Market Size by Type (2025-2030)
5 Data Science and Machine Learning Service Breakdown Data by Application
5.1 Global Data Science and Machine Learning Service Historic Market Size by Application (2019-2024)
5.2 Global Data Science and Machine Learning Service Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Data Science and Machine Learning Service Market Size (2019-2030)
6.2 North America Data Science and Machine Learning Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Data Science and Machine Learning Service Market Size by Country (2019-2024)
6.4 North America Data Science and Machine Learning Service Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Science and Machine Learning Service Market Size (2019-2030)
7.2 Europe Data Science and Machine Learning Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Data Science and Machine Learning Service Market Size by Country (2019-2024)
7.4 Europe Data Science and Machine Learning Service 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 Data Science and Machine Learning Service Market Size (2019-2030)
8.2 Asia-Pacific Data Science and Machine Learning Service Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Data Science and Machine Learning Service Market Size by Region (2019-2024)
8.4 Asia-Pacific Data Science and Machine Learning Service 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 Data Science and Machine Learning Service Market Size (2019-2030)
9.2 Latin America Data Science and Machine Learning Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Data Science and Machine Learning Service Market Size by Country (2019-2024)
9.4 Latin America Data Science and Machine Learning Service Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Science and Machine Learning Service Market Size (2019-2030)
10.2 Middle East & Africa Data Science and Machine Learning Service Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Data Science and Machine Learning Service Market Size by Country (2019-2024)
10.4 Middle East & Africa Data Science and Machine Learning Service Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 DataScience.com
11.1.1 DataScience.com Company Detail
11.1.2 DataScience.com Business Overview
11.1.3 DataScience.com Data Science and Machine Learning Service Introduction
11.1.4 DataScience.com Revenue in Data Science and Machine Learning Service Business (2019-2024)
11.1.5 DataScience.com Recent Development
11.2 ZS
11.2.1 ZS Company Detail
11.2.2 ZS Business Overview
11.2.3 ZS Data Science and Machine Learning Service Introduction
11.2.4 ZS Revenue in Data Science and Machine Learning Service Business (2019-2024)
11.2.5 ZS Recent Development
11.3 LatentView Analytics
11.3.1 LatentView Analytics Company Detail
11.3.2 LatentView Analytics Business Overview
11.3.3 LatentView Analytics Data Science and Machine Learning Service Introduction
11.3.4 LatentView Analytics Revenue in Data Science and Machine Learning Service Business (2019-2024)
11.3.5 LatentView Analytics Recent Development
11.4 Mango Solutions
11.4.1 Mango Solutions Company Detail
11.4.2 Mango Solutions Business Overview
11.4.3 Mango Solutions Data Science and Machine Learning Service Introduction
11.4.4 Mango Solutions Revenue in Data Science and Machine Learning Service Business (2019-2024)
11.4.5 Mango Solutions Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Detail
11.5.2 Microsoft Business Overview
11.5.3 Microsoft Data Science and Machine Learning Service Introduction
11.5.4 Microsoft Revenue in Data Science and Machine Learning Service Business (2019-2024)
11.5.5 Microsoft Recent Development
11.6 International Business Machine
11.6.1 International Business Machine Company Detail
11.6.2 International Business Machine Business Overview
11.6.3 International Business Machine Data Science and Machine Learning Service Introduction
11.6.4 International Business Machine Revenue in Data Science and Machine Learning Service Business (2019-2024)
11.6.5 International Business Machine Recent Development
11.7 Amazon Web Services
11.7.1 Amazon Web Services Company Detail
11.7.2 Amazon Web Services Business Overview
11.7.3 Amazon Web Services Data Science and Machine Learning Service Introduction
11.7.4 Amazon Web Services Revenue in Data Science and Machine Learning Service Business (2019-2024)
11.7.5 Amazon Web Services Recent Development
11.8 Google
11.8.1 Google Company Detail
11.8.2 Google Business Overview
11.8.3 Google Data Science and Machine Learning Service Introduction
11.8.4 Google Revenue in Data Science and Machine Learning Service Business (2019-2024)
11.8.5 Google Recent Development
11.9 Bigml
11.9.1 Bigml Company Detail
11.9.2 Bigml Business Overview
11.9.3 Bigml Data Science and Machine Learning Service Introduction
11.9.4 Bigml Revenue in Data Science and Machine Learning Service Business (2019-2024)
11.9.5 Bigml Recent Development
11.10 Fico
11.10.1 Fico Company Detail
11.10.2 Fico Business Overview
11.10.3 Fico Data Science and Machine Learning Service Introduction
11.10.4 Fico Revenue in Data Science and Machine Learning Service Business (2019-2024)
11.10.5 Fico Recent Development
11.11 Hewlett-Packard Enterprise Development
11.11.1 Hewlett-Packard Enterprise Development Company Detail
11.11.2 Hewlett-Packard Enterprise Development Business Overview
11.11.3 Hewlett-Packard Enterprise Development Data Science and Machine Learning Service Introduction
11.11.4 Hewlett-Packard Enterprise Development Revenue in Data Science and Machine Learning Service Business (2019-2024)
11.11.5 Hewlett-Packard Enterprise Development Recent Development
11.12 At&T
11.12.1 At&T Company Detail
11.12.2 At&T Business Overview
11.12.3 At&T Data Science and Machine Learning Service Introduction
11.12.4 At&T Revenue in Data Science and Machine Learning Service Business (2019-2024)
11.12.5 At&T 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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