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Home > Data Science and Machine Learning Service - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Data Science and Machine Learning Service - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID: 
PB509247494
Publication Date: 
September 26, 2024
Pages: 
114
Publisher: 
MRRPB5
Countries: 
Global [1]
USD 3,950.00

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IT Services [2]
Computing & Electronics [3]
Description: 

The global market for Data Science and Machine Learning Service was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for Data Science and Machine Learning Service was valued at $ million in 2023 and will 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 was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Data Science and Machine Learning Service was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Data Science and Machine Learning Service include DataScience, ZS, LatentView Analytics, Mango Solutions, Microsoft, International Business Machine, Amazon Web Services, Google and Bigml, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data Science and Machine Learning Service, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Data Science and Machine Learning Service by region & country, by Type, and by Application.
The Data Science and Machine Learning Service market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
Market Segmentation
By Company
DataScience
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
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Data Science and Machine Learning Service manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Data Science and Machine Learning Service in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Data Science and Machine Learning Service in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents: 

1 Market Overview
1.1 Data Science and Machine Learning Service Product Introduction
1.2 Global Data Science and Machine Learning Service Market Size Forecast
1.3 Data Science and Machine Learning Service Market Trends & Drivers
1.3.1 Data Science and Machine Learning Service Industry Trends
1.3.2 Data Science and Machine Learning Service Market Drivers & Opportunity
1.3.3 Data Science and Machine Learning Service Market Challenges
1.3.4 Data Science and Machine Learning Service Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Data Science and Machine Learning Service Players Revenue Ranking (2023)
2.2 Global Data Science and Machine Learning Service Revenue by Company (2019-2024)
2.3 Key Companies Data Science and Machine Learning Service Manufacturing Base Distribution and Headquarters
2.4 Key Companies Data Science and Machine Learning Service Product Offered
2.5 Key Companies Time to Begin Mass Production of Data Science and Machine Learning Service
2.6 Data Science and Machine Learning Service Market Competitive Analysis
2.6.1 Data Science and Machine Learning Service Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Data Science and Machine Learning Service Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Science and Machine Learning Service as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Consulting
3.1.2 Management Solution
3.2 Global Data Science and Machine Learning Service Sales Value by Type
3.2.1 Global Data Science and Machine Learning Service Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Data Science and Machine Learning Service Sales Value, by Type (2019-2030)
3.2.3 Global Data Science and Machine Learning Service Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Banking
4.1.2 Insurance
4.1.3 Retail
4.1.4 Media & Entertainment
4.1.5 Others
4.2 Global Data Science and Machine Learning Service Sales Value by Application
4.2.1 Global Data Science and Machine Learning Service Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Data Science and Machine Learning Service Sales Value, by Application (2019-2030)
4.2.3 Global Data Science and Machine Learning Service Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Data Science and Machine Learning Service Sales Value by Region
5.1.1 Global Data Science and Machine Learning Service Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Data Science and Machine Learning Service Sales Value by Region (2019-2024)
5.1.3 Global Data Science and Machine Learning Service Sales Value by Region (2025-2030)
5.1.4 Global Data Science and Machine Learning Service Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Data Science and Machine Learning Service Sales Value, 2019-2030
5.2.2 North America Data Science and Machine Learning Service Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Data Science and Machine Learning Service Sales Value, 2019-2030
5.3.2 Europe Data Science and Machine Learning Service Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Data Science and Machine Learning Service Sales Value, 2019-2030
5.4.2 Asia Pacific Data Science and Machine Learning Service Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Data Science and Machine Learning Service Sales Value, 2019-2030
5.5.2 South America Data Science and Machine Learning Service Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Data Science and Machine Learning Service Sales Value, 2019-2030
5.6.2 Middle East & Africa Data Science and Machine Learning Service Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Data Science and Machine Learning Service Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Data Science and Machine Learning Service Sales Value
6.3 United States
6.3.1 United States Data Science and Machine Learning Service Sales Value, 2019-2030
6.3.2 United States Data Science and Machine Learning Service Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Data Science and Machine Learning Service Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Data Science and Machine Learning Service Sales Value, 2019-2030
6.4.2 Europe Data Science and Machine Learning Service Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Data Science and Machine Learning Service Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Data Science and Machine Learning Service Sales Value, 2019-2030
6.5.2 China Data Science and Machine Learning Service Sales Value by Type (%), 2023 VS 2030
6.5.3 China Data Science and Machine Learning Service Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Data Science and Machine Learning Service Sales Value, 2019-2030
6.6.2 Japan Data Science and Machine Learning Service Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Data Science and Machine Learning Service Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Data Science and Machine Learning Service Sales Value, 2019-2030
6.7.2 South Korea Data Science and Machine Learning Service Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Data Science and Machine Learning Service Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Data Science and Machine Learning Service Sales Value, 2019-2030
6.8.2 Southeast Asia Data Science and Machine Learning Service Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Data Science and Machine Learning Service Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Data Science and Machine Learning Service Sales Value, 2019-2030
6.9.2 India Data Science and Machine Learning Service Sales Value by Type (%), 2023 VS 2030
6.9.3 India Data Science and Machine Learning Service Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 DataScience
7.1.1 DataScience Profile
7.1.2 DataScience Main Business
7.1.3 DataScience Data Science and Machine Learning Service Products, Services and Solutions
7.1.4 DataScience Data Science and Machine Learning Service Revenue (US$ Million) & (2019-2024)
7.1.5 DataScience Recent Developments
7.2 ZS
7.2.1 ZS Profile
7.2.2 ZS Main Business
7.2.3 ZS Data Science and Machine Learning Service Products, Services and Solutions
7.2.4 ZS Data Science and Machine Learning Service Revenue (US$ Million) & (2019-2024)
7.2.5 ZS Recent Developments
7.3 LatentView Analytics
7.3.1 LatentView Analytics Profile
7.3.2 LatentView Analytics Main Business
7.3.3 LatentView Analytics Data Science and Machine Learning Service Products, Services and Solutions
7.3.4 LatentView Analytics Data Science and Machine Learning Service Revenue (US$ Million) & (2019-2024)
7.3.5 Mango Solutions Recent Developments
7.4 Mango Solutions
7.4.1 Mango Solutions Profile
7.4.2 Mango Solutions Main Business
7.4.3 Mango Solutions Data Science and Machine Learning Service Products, Services and Solutions
7.4.4 Mango Solutions Data Science and Machine Learning Service Revenue (US$ Million) & (2019-2024)
7.4.5 Mango Solutions Recent Developments
7.5 Microsoft
7.5.1 Microsoft Profile
7.5.2 Microsoft Main Business
7.5.3 Microsoft Data Science and Machine Learning Service Products, Services and Solutions
7.5.4 Microsoft Data Science and Machine Learning Service Revenue (US$ Million) & (2019-2024)
7.5.5 Microsoft Recent Developments
7.6 International Business Machine
7.6.1 International Business Machine Profile
7.6.2 International Business Machine Main Business
7.6.3 International Business Machine Data Science and Machine Learning Service Products, Services and Solutions
7.6.4 International Business Machine Data Science and Machine Learning Service Revenue (US$ Million) & (2019-2024)
7.6.5 International Business Machine Recent Developments
7.7 Amazon Web Services
7.7.1 Amazon Web Services Profile
7.7.2 Amazon Web Services Main Business
7.7.3 Amazon Web Services Data Science and Machine Learning Service Products, Services and Solutions
7.7.4 Amazon Web Services Data Science and Machine Learning Service Revenue (US$ Million) & (2019-2024)
7.7.5 Amazon Web Services Recent Developments
7.8 Google
7.8.1 Google Profile
7.8.2 Google Main Business
7.8.3 Google Data Science and Machine Learning Service Products, Services and Solutions
7.8.4 Google Data Science and Machine Learning Service Revenue (US$ Million) & (2019-2024)
7.8.5 Google Recent Developments
7.9 Bigml
7.9.1 Bigml Profile
7.9.2 Bigml Main Business
7.9.3 Bigml Data Science and Machine Learning Service Products, Services and Solutions
7.9.4 Bigml Data Science and Machine Learning Service Revenue (US$ Million) & (2019-2024)
7.9.5 Bigml Recent Developments
7.10 Fico
7.10.1 Fico Profile
7.10.2 Fico Main Business
7.10.3 Fico Data Science and Machine Learning Service Products, Services and Solutions
7.10.4 Fico Data Science and Machine Learning Service Revenue (US$ Million) & (2019-2024)
7.10.5 Fico Recent Developments
7.11 Hewlett-Packard Enterprise Development
7.11.1 Hewlett-Packard Enterprise Development Profile
7.11.2 Hewlett-Packard Enterprise Development Main Business
7.11.3 Hewlett-Packard Enterprise Development Data Science and Machine Learning Service Products, Services and Solutions
7.11.4 Hewlett-Packard Enterprise Development Data Science and Machine Learning Service Revenue (US$ Million) & (2019-2024)
7.11.5 Hewlett-Packard Enterprise Development Recent Developments
7.12 At&T
7.12.1 At&T Profile
7.12.2 At&T Main Business
7.12.3 At&T Data Science and Machine Learning Service Products, Services and Solutions
7.12.4 At&T Data Science and Machine Learning Service Revenue (US$ Million) & (2019-2024)
7.12.5 At&T Recent Developments
8 Industry Chain Analysis
8.1 Data Science and Machine Learning Service Industrial Chain
8.2 Data Science and Machine Learning Service Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Data Science and Machine Learning Service Sales Model
8.5.2 Sales Channel
8.5.3 Data Science and Machine Learning Service Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned: 

DataScience
ZS
LatentView Analytics
Mango Solutions
Microsoft
International Business Machine
Amazon Web Services
Google
Bigml
Fico
Hewlett-Packard Enterprise Development
At&T

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