In business functions, the logistics segment holds the largest market share and is gaining significant importance among corporates & Enterprises. In the logistics industry, customer satisfaction, global expansion, strong delivery & transport network, and presence of wide global/local presence are the most essential factors. Data scientists apply advanced mathematics and statistics to address numerous business queries that delivers insights to management, thereby maximizing the return on assets and high Returns on Investments (RoI).
Market Analysis and Insights: Global Data Science Platform Market
The global Data Science Platform market is projected to grow from US$ 34610 million in 2023 to US$ 106990 million by 2029, at a Compound Annual Growth Rate (CAGR) of 20.7% during the forecast period.
The on-premises deployment model has a higher adoption, compared to the on-demand deployment model. The on-premises deployment model provides confidentiality and privacy parameters to the organizational data; hence, most of the organizations are adopting the on-premises deployment model. The Banking, Financial Services, and Insurance (BFSI) segment has shown the largest market share in vertical segment, where data science platform helps financial institutions to cut down on the risks that are likely to arise from the poor quality of data.
Report Includes
This report presents an overview of global market for Data Science Platform market size. Analyses of the global market trends, with historic market revenue data for 2018 - 2022, estimates for 2023, and projections of CAGR through 2029.
This report researches the key producers of Data Science Platform, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Data Science Platform, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Data Science Platform revenue, market share and industry ranking of main companies, data from 2018 to 2023. Identification of the major stakeholders in the global Data Science Platform market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by type and by application, revenue, and growth rate, from 2018 to 2029. Evaluation and forecast the market size for Data Science Platform revenue, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including Microsoft, IBM, Google, Wolfram, Datarobot, Cloudera, Rapidminer, Domino Data Lab and Dataiku, etc.
By Company
Microsoft
IBM
Google
Wolfram
Datarobot
Cloudera
Rapidminer
Domino Data Lab
Dataiku
Alteryx
Continuum Analytics
Bridgei2i Analytics
Datarpm
Rexer Analytics
Feature Labs
Segment by Type
On-Premises
On-Demand
Segment by Application
Marketing
Sales
Logistics
Risk
Customer Support
Human Resources
Operations
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, and Latin America
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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: Revenue of Data Science Platform in global and regional level. 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. 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 Platform companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America by type, by application and by country, revenue for each segment.
Chapter 7: Europe by type, by application and by country, revenue for each segment.
Chapter 8: China by type and by application revenue for each segment.
Chapter 9: Asia (excluding China) by type, by application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by type, by application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Data Science Platform revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Science Platform Market Size Growth Rate by Type, 2018 VS 2022 VS 2029
1.2.2 On-Premises
1.2.3 On-Demand
1.3 Market by Application
1.3.1 Global Data Science Platform Market Size Growth Rate by Application, 2018 VS 2022 VS 2029
1.3.2 Marketing
1.3.3 Sales
1.3.4 Logistics
1.3.5 Risk
1.3.6 Customer Support
1.3.7 Human Resources
1.3.8 Operations
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Science Platform Market Perspective (2018-2029)
2.2 Global Data Science Platform Growth Trends by Region
2.2.1 Data Science Platform Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Data Science Platform Historic Market Size by Region (2018-2023)
2.2.3 Data Science Platform Forecasted Market Size by Region (2024-2029)
2.3 Data Science Platform Market Dynamics
2.3.1 Data Science Platform Industry Trends
2.3.2 Data Science Platform Market Drivers
2.3.3 Data Science Platform Market Challenges
2.3.4 Data Science Platform Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Data Science Platform by Players
3.1.1 Global Data Science Platform Revenue by Players (2018-2023)
3.1.2 Global Data Science Platform Revenue Market Share by Players (2018-2023)
3.2 Global Data Science Platform Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Data Science Platform, Ranking by Revenue, 2021 VS 2022 VS 2023
3.4 Global Data Science Platform Market Concentration Ratio
3.4.1 Global Data Science Platform Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Science Platform Revenue in 2022
3.5 Global Key Players of Data Science Platform Head office and Area Served
3.6 Global Key Players of Data Science Platform, Product and Application
3.7 Global Key Players of Data Science Platform, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Science Platform Breakdown Data by Type
4.1 Global Data Science Platform Historic Market Size by Type (2018-2023)
4.2 Global Data Science Platform Forecasted Market Size by Type (2024-2029)
5 Data Science Platform Breakdown Data by Application
5.1 Global Data Science Platform Historic Market Size by Application (2018-2023)
5.2 Global Data Science Platform Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Data Science Platform Market Size (2018-2029)
6.2 North America Data Science Platform Market Size by Type
6.2.1 North America Data Science Platform Market Size by Type (2018-2023)
6.2.2 North America Data Science Platform Market Size by Type (2024-2029)
6.2.3 North America Data Science Platform Market Share by Type (2018-2029)
6.3 North America Data Science Platform Market Size by Application
6.3.1 North America Data Science Platform Market Size by Application (2018-2023)
6.3.2 North America Data Science Platform Market Size by Application (2024-2029)
6.3.3 North America Data Science Platform Market Share by Application (2018-2029)
6.4 North America Data Science Platform Market Size by Country
6.4.1 North America Data Science Platform Market Size by Country: 2018 VS 2022 VS 2029
6.4.2 North America Data Science Platform Market Size by Country (2018-2023)
6.4.3 North America Data Science Platform Market Size by Country (2024-2029)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Data Science Platform Market Size (2018-2029)
7.2 Europe Data Science Platform Market Size by Type
7.2.1 Europe Data Science Platform Market Size by Type (2018-2023)
7.2.2 Europe Data Science Platform Market Size by Type (2024-2029)
7.2.3 Europe Data Science Platform Market Share by Type (2018-2029)
7.3 Europe Data Science Platform Market Size by Application
7.3.1 Europe Data Science Platform Market Size by Application (2018-2023)
7.3.2 Europe Data Science Platform Market Size by Application (2024-2029)
7.3.3 Europe Data Science Platform Market Share by Application (2018-2029)
7.4 Europe Data Science Platform Market Size by Country
7.4.1 Europe Data Science Platform Market Size by Country: 2018 VS 2022 VS 2029
7.4.2 Europe Data Science Platform Market Size by Country (2018-2023)
7.4.3 Europe Data Science Platform Market Size by Country (2024-2029)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Data Science Platform Market Size (2018-2029)
8.2 China Data Science Platform Market Size by Type
8.2.1 China Data Science Platform Market Size by Type (2018-2023)
8.2.2 China Data Science Platform Market Size by Type (2024-2029)
8.2.3 China Data Science Platform Market Share by Type (2018-2029)
8.3 China Data Science Platform Market Size by Application
8.3.1 China Data Science Platform Market Size by Application (2018-2023)
8.3.2 China Data Science Platform Market Size by Application (2024-2029)
8.3.3 China Data Science Platform Market Share by Application (2018-2029)
9 Asia (excluding China)
9.1 Asia Data Science Platform Market Size (2018-2029)
9.2 Asia Data Science Platform Market Size by Type
9.2.1 Asia Data Science Platform Market Size by Type (2018-2023)
9.2.2 Asia Data Science Platform Market Size by Type (2024-2029)
9.2.3 Asia Data Science Platform Market Share by Type (2018-2029)
9.3 Asia Data Science Platform Market Size by Application
9.3.1 Asia Data Science Platform Market Size by Application (2018-2023)
9.3.2 Asia Data Science Platform Market Size by Application (2024-2029)
9.3.3 Asia Data Science Platform Market Share by Application (2018-2029)
9.4 Asia Data Science Platform Market Size by Region
9.4.1 Asia Data Science Platform Market Size by Region: 2018 VS 2022 VS 2029
9.4.2 Asia Data Science Platform Market Size by Region (2018-2023)
9.4.3 Asia Data Science Platform Market Size by Region (2024-2029)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Data Science Platform Market Size (2018-2029)
10.2 Middle East, Africa, and Latin America Data Science Platform Market Size by Type
10.2.1 Middle East, Africa, and Latin America Data Science Platform Market Size by Type (2018-2023)
10.2.2 Middle East, Africa, and Latin America Data Science Platform Market Size by Type (2024-2029)
10.2.3 Middle East, Africa, and Latin America Data Science Platform Market Share by Type (2018-2029)
10.3 Middle East, Africa, and Latin America Data Science Platform Market Size by Application
10.3.1 Middle East, Africa, and Latin America Data Science Platform Market Size by Application (2018-2023)
10.3.2 Middle East, Africa, and Latin America Data Science Platform Market Size by Application (2024-2029)
10.3.3 Middle East, Africa, and Latin America Data Science Platform Market Share by Application (2018-2029)
10.4 Middle East, Africa, and Latin America Data Science Platform Market Size by Country
10.4.1 Middle East, Africa, and Latin America Data Science Platform Market Size by Country: 2018 VS 2022 VS 2029
10.4.2 Middle East, Africa, and Latin America Data Science Platform Market Size by Country (2018-2023)
10.4.3 Middle East, Africa, and Latin America Data Science Platform Market Size by Country (2024-2029)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Details
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Data Science Platform Introduction
11.1.4 Microsoft Revenue in Data Science Platform Business (2018-2023)
11.1.5 Microsoft Recent Developments
11.2 IBM
11.2.1 IBM Company Details
11.2.2 IBM Business Overview
11.2.3 IBM Data Science Platform Introduction
11.2.4 IBM Revenue in Data Science Platform Business (2018-2023)
11.2.5 IBM Recent Developments
11.3 Google
11.3.1 Google Company Details
11.3.2 Google Business Overview
11.3.3 Google Data Science Platform Introduction
11.3.4 Google Revenue in Data Science Platform Business (2018-2023)
11.3.5 Google Recent Developments
11.4 Wolfram
11.4.1 Wolfram Company Details
11.4.2 Wolfram Business Overview
11.4.3 Wolfram Data Science Platform Introduction
11.4.4 Wolfram Revenue in Data Science Platform Business (2018-2023)
11.4.5 Wolfram Recent Developments
11.5 Datarobot
11.5.1 Datarobot Company Details
11.5.2 Datarobot Business Overview
11.5.3 Datarobot Data Science Platform Introduction
11.5.4 Datarobot Revenue in Data Science Platform Business (2018-2023)
11.5.5 Datarobot Recent Developments
11.6 Cloudera
11.6.1 Cloudera Company Details
11.6.2 Cloudera Business Overview
11.6.3 Cloudera Data Science Platform Introduction
11.6.4 Cloudera Revenue in Data Science Platform Business (2018-2023)
11.6.5 Cloudera Recent Developments
11.7 Rapidminer
11.7.1 Rapidminer Company Details
11.7.2 Rapidminer Business Overview
11.7.3 Rapidminer Data Science Platform Introduction
11.7.4 Rapidminer Revenue in Data Science Platform Business (2018-2023)
11.7.5 Rapidminer Recent Developments
11.8 Domino Data Lab
11.8.1 Domino Data Lab Company Details
11.8.2 Domino Data Lab Business Overview
11.8.3 Domino Data Lab Data Science Platform Introduction
11.8.4 Domino Data Lab Revenue in Data Science Platform Business (2018-2023)
11.8.5 Domino Data Lab Recent Developments
11.9 Dataiku
11.9.1 Dataiku Company Details
11.9.2 Dataiku Business Overview
11.9.3 Dataiku Data Science Platform Introduction
11.9.4 Dataiku Revenue in Data Science Platform Business (2018-2023)
11.9.5 Dataiku Recent Developments
11.10 Alteryx
11.10.1 Alteryx Company Details
11.10.2 Alteryx Business Overview
11.10.3 Alteryx Data Science Platform Introduction
11.10.4 Alteryx Revenue in Data Science Platform Business (2018-2023)
11.10.5 Alteryx Recent Developments
11.11 Continuum Analytics
11.11.1 Continuum Analytics Company Details
11.11.2 Continuum Analytics Business Overview
11.11.3 Continuum Analytics Data Science Platform Introduction
11.11.4 Continuum Analytics Revenue in Data Science Platform Business (2018-2023)
11.11.5 Continuum Analytics Recent Developments
11.12 Bridgei2i Analytics
11.12.1 Bridgei2i Analytics Company Details
11.12.2 Bridgei2i Analytics Business Overview
11.12.3 Bridgei2i Analytics Data Science Platform Introduction
11.12.4 Bridgei2i Analytics Revenue in Data Science Platform Business (2018-2023)
11.12.5 Bridgei2i Analytics Recent Developments
11.13 Datarpm
11.13.1 Datarpm Company Details
11.13.2 Datarpm Business Overview
11.13.3 Datarpm Data Science Platform Introduction
11.13.4 Datarpm Revenue in Data Science Platform Business (2018-2023)
11.13.5 Datarpm Recent Developments
11.14 Rexer Analytics
11.14.1 Rexer Analytics Company Details
11.14.2 Rexer Analytics Business Overview
11.14.3 Rexer Analytics Data Science Platform Introduction
11.14.4 Rexer Analytics Revenue in Data Science Platform Business (2018-2023)
11.14.5 Rexer Analytics Recent Developments
11.15 Feature Labs
11.15.1 Feature Labs Company Details
11.15.2 Feature Labs Business Overview
11.15.3 Feature Labs Data Science Platform Introduction
11.15.4 Feature Labs Revenue in Data Science Platform Business (2018-2023)
11.15.5 Feature Labs Recent Developments
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
Microsoft
IBM
Google
Wolfram
Datarobot
Cloudera
Rapidminer
Domino Data Lab
Dataiku
Alteryx
Continuum Analytics
Bridgei2i Analytics
Datarpm
Rexer Analytics
Feature Labs
听
听
*If Applicable.
