Global Data Science Platform Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2023 to 2030

Description

List of Tables

The global demand for Data Science Platform Market is presumed to reach the market size of nearly USD 1063.23 BN by 2030 from USD 101.52 BN in 2022 with a CAGR of 29.82% under the study period 2023 - 2030.

All Data science and data analysis work is done on a software hub called a data science platform. It includes all the tools required for the data science project, including ideation, installation, discovery, model building, and implementation of the software. To be more precise, data science is an integration of gathering, analysis, and strategy for interpreting results. It enables scientists to brush up on their jobs by allowing them to run, track, repeat, analyze and communicate their findings easily and quickly.

MARKET DYNAMICS:

The adoption of AI, dramatic growth of IoT applications, and high demand for machine learning and big data are some of the primary factors fueling the adoption of data science platforms. IT industry trends like big data technology adoption, security and governance, IT centralization, open standards, and libraries have been applied to data science platforms. It offers structured and efficient enterprises in multiple sectors. The upsurge of unified, multidisciplinary cloud-based development platforms helps data scientists to sharpen their abilities and combine ML and analytics into business operations. The techniques like insights, machine learning, predictive analytics, and data mining use these platforms to uncover hidden information from enormous classified and unstructured data. The rise in amounts of structures and unstructured data in end-user industries has fueled big data adoption. The cloud is also catering the market adoption in combination with data science platforms, where users build the could integration platforms. However, costly investment is likely to hamper the market growth, and the development of more data protection issues will slow down the market growth rate. The lack of professional individuals or trained competence can further decrease the growth.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of data science platform. The growth and trends of data science platform industry provide a holistic approach to this study.

MARKET SEGMENTATION:

This section of the data science platform market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

Platform
Services
Support And Maintenance
Consulting
Deployment And Integration

By Deployment Mode

Cloud
On-Premises

By Organization Size

Small And Medium-Sized Enterprises
Large Enterprises

By Business Function

Marketing
Sales
Logistics
Finance And Accounting
Customer Support
Other Business Functions (HR And Operations)

By Vertical

BFSI
Retail And E-Commerce
Telecom And IT
Media And Entertainment
Healthcare And Life Sciences
Government And Defense
Manufacturing
Transportation And Logistics
Energy And Utilities
Other Verticals (Travel And Hospitality, And Education And Research)

REGIONAL ANALYSIS:

This section covers the regional outlook, which accentuates current and future demand for the Data Science Platform market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the data science platform market include IBM(US), Google(US), Microsoft(US), SAS(US), AWS(US), MathWorks (US), Cloudera (US), Teradata (US), TIBCO (US), Alteryx (US), RapidMiner (US), Databricks (US), Snowflake (US), H2O.ai (US), Altair (US), Anaconda (US), SAP (US), Domino Data Lab (US), Dataiku (US), DataRobot (US), Apheris (Germany), Comet (US), Databand (US), dotData (US), Explorium (US), Noogata (US), Tecton (US), Spell (US), Arrikto (US), and Iterative (US). This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

Product Code: VMR11218839

1 . PREFACE

1.1. Report Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3 . DATA SCIENCE PLATFORM - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Deployment Mode
- 3.7.3 Market Attractiveness Analysis By Organization Size
- 3.7.4 Market Attractiveness Analysis By Business Function
- 3.7.5 Market Attractiveness Analysis By Vertical
- 3.7.6 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend

5. IMPACT ANALYSIS OF COVID-19 OUTBREAK

6 . GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY COMPONENT

6.1 Overview by Component
6.2 Historical and Forecast Data
6.3 Analysis by Component
6.4 Platform Historic and Forecast Sales by Regions
6.5 Services Historic and Forecast Sales by Regions
6.6 Support And Maintenance Historic and Forecast Sales by Regions
6.7 Consulting Historic and Forecast Sales by Regions
6.8 Deployment And Integration Historic and Forecast Sales by Regions

7 . GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY DEPLOYMENT MODE

7.1 Overview by Deployment Mode
7.2 Historical and Forecast Data
7.3 Analysis by Deployment Mode
7.4 Cloud Historic and Forecast Sales by Regions
7.5 On-premises Historic and Forecast Sales by Regions

8 . GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY ORGANIZATION SIZE

8.1 Overview by Organization Size
8.2 Historical and Forecast Data
8.3 Analysis by Organization Size
8.4 Small And Medium-Sized Enterprises Historic and Forecast Sales by Regions
8.5 Large Enterprises Historic and Forecast Sales by Regions

9 . GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY BUSINESS FUNCTION

9.1 Overview by Business Function
9.2 Historical and Forecast Data
9.3 Analysis by Business Function
9.4 Marketing Historic and Forecast Sales by Regions
9.5 Sales Historic and Forecast Sales by Regions
9.6 Logistics Historic and Forecast Sales by Regions
9.7 Finance And Accounting Historic and Forecast Sales by Regions
9.8 Customer Support Historic and Forecast Sales by Regions
9.9 Other Business Functions (HR And operations) Historic and Forecast Sales by Regions

10 . GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY VERTICAL

10.1 Overview by Vertical
10.2 Historical and Forecast Data
10.3 Analysis by Vertical
10.4 BFSI Historic and Forecast Sales by Regions
10.5 Retail And E-Commerce Historic and Forecast Sales by Regions
10.6 Telecom And IT Historic and Forecast Sales by Regions
10.7 Media And Entertainment Historic and Forecast Sales by Regions
10.8 Healthcare And Life Sciences Historic and Forecast Sales by Regions
10.9 Government And Defense Historic and Forecast Sales by Regions
10.10. Manufacturing Historic and Forecast Sales by Regions
10.11 Transportation And Logistics Historic and Forecast Sales by Regions
10.12 Energy And Utilities Historic and Forecast Sales by Regions
10.13 Other Verticals (Travel And Hospitality, And Education And Research) Historic and Forecast Sales by Regions

11 . GLOBAL DATA SCIENCE PLATFORM MARKET ANALYSIS BY GEOGRAPHY

11.1. Top Company Share Analysis
11.2. Introduction
11.3. North America Sales Analysis
- 11.3.1. Overview, Historic and Forecast Sales Analysis
- 11.3.2. North America By Segment Sales Analysis
- 11.3.3. North America By Country Sales Analysis
- 11.3.4. United State Sales Analysis
- 11.3.5. Canada Sales Analysis
- 11.3.6. Mexico Sales Analysis
11.4. Europe Sales Analysis
- 11.4.1. Overview, Historic and Forecast Sales Analysis
- 11.4.2. Europe by Segment Sales Analysis
- 11.4.3. Europe by Country Sales Analysis
- 11.4.4. United Kingdom Sales Analysis
- 11.4.5. France Sales Analysis
- 11.4.6. Germany Sales Analysis
- 11.4.7. Italy Sales Analysis
- 11.4.8. Russia Sales Analysis
- 11.4.9. Rest Of Europe Sales Analysis
11.5. Asia Pacific Sales Analysis
- 11.5.1. Overview, Historic and Forecast Sales Analysis
- 11.5.2. Asia Pacific by Segment Sales Analysis
- 11.5.3. Asia Pacific by Country Sales Analysis
- 11.5.4. China Sales Analysis
- 11.5.5. India Sales Analysis
- 11.5.6. Japan Sales Analysis
- 11.5.7. South Korea Sales Analysis
- 11.5.8. Australia Sales Analysis
- 11.5.9. Rest Of Asia Pacific Sales Analysis
11.6. Latin America Sales Analysis
- 11.6.1. Overview, Historic and Forecast Sales Analysis
- 11.6.2. Latin America by Segment Sales Analysis
- 11.6.3. Latin America by Country Sales Analysis
- 11.6.4. Brazil Sales Analysis
- 11.6.5. Argentina Sales Analysis
- 11.6.6. Peru Sales Analysis
- 11.6.7. Chile Sales Analysis
- 11.6.8. Rest of Latin America Sales Analysis
11.7. Middle East & Africa Sales Analysis
- 11.7.1. Overview, Historic and Forecast Sales Analysis
- 11.7.2. Middle East & Africa by Segment Sales Analysis
- 11.7.3. Middle East & Africa by Country Sales Analysis
- 11.7.4. Saudi Arabia Sales Analysis
- 11.7.5. UAE Sales Analysis
- 11.7.6. Israel Sales Analysis
- 11.7.7. South Africa Sales Analysis
- 11.7.8. Rest Of Middle East And Africa Sales Analysis

12 . COMPETITIVE LANDSCAPE OF THE DATA SCIENCE PLATFORM COMPANIES

12.1. Data Science Platform Market Competition
12.2. Partnership/Collaboration/Agreement
12.3. Merger And Acquisitions
12.4. New Product Launch
12.5. Other Developments

13 . COMPANY PROFILES OF DATA SCIENCE PLATFORM INDUSTRY

13.1. Company Share Analysis
13.2. Market Concentration Rate
13.3. IBM(US)
- 13.3.1. Company Overview
- 13.3.2. Company Revenue
- 13.3.3. Products
- 13.3.4. Recent Developments
13.4. Google(US)
- 13.4.1. Company Overview
- 13.4.2. Company Revenue
- 13.4.3. Products
- 13.4.4. Recent Developments
13.5. Microsoft(US)
- 13.5.1. Company Overview
- 13.5.2. Company Revenue
- 13.5.3. Products
- 13.5.4. Recent Developments
13.6. SAS(US)
- 13.6.1. Company Overview
- 13.6.2. Company Revenue
- 13.6.3. Products
- 13.6.4. Recent Developments
13.7. AWS(US)
- 13.7.1. Company Overview
- 13.7.2. Company Revenue
- 13.7.3. Products
- 13.7.4. Recent Developments
13.8. MathWorks (US)
- 13.8.1. Company Overview
- 13.8.2. Company Revenue
- 13.8.3. Products
- 13.8.4. Recent Developments
13.9. Cloudera (US)
- 13.9.1. Company Overview
- 13.9.2. Company Revenue
- 13.9.3. Products
- 13.9.4. Recent Developments
13.10. Teradata (US)
- 13.10.1. Company Overview
- 13.10.2. Company Revenue
- 13.10.3. Products
- 13.10.4. Recent Developments
13.11. TIBCO (US)
- 13.11.1. Company Overview
- 13.11.2. Company Revenue
- 13.11.3. Products
- 13.11.4. Recent Developments
13.12. Alteryx (US)
- 13.12.1. Company Overview
- 13.12.2. Company Revenue
- 13.12.3. Products
- 13.12.4. Recent Developments
13.13. RapidMiner (US)
- 13.13.1. Company Overview
- 13.13.2. Company Revenue
- 13.13.3. Products
- 13.13.4. Recent Developments
13.14. Databricks (US)
- 13.14.1. Company Overview
- 13.14.2. Company Revenue
- 13.14.3. Products
- 13.14.4. Recent Developments
13.15. Snowflake (US)
- 13.15.1. Company Overview
- 13.15.2. Company Revenue
- 13.15.3. Products
- 13.15.4. Recent Developments
13.16. H2O.ai (US)
- 13.16.1. Company Overview
- 13.16.2. Company Revenue
- 13.16.3. Products
- 13.16.4. Recent Developments
13.17. Altair (US)
- 13.17.1. Company Overview
- 13.17.2. Company Revenue
- 13.17.3. Products
- 13.17.4. Recent Developments
13.18. Anaconda (US)
- 13.18.1. Company Overview
- 13.18.2. Company Revenue
- 13.18.3. Products
- 13.18.4. Recent Developments
13.19. SAP (US)
- 13.19.1. Company Overview
- 13.19.2. Company Revenue
- 13.19.3. Products
- 13.19.4. Recent Developments
13.20. Domino Data Lab (US)
- 13.20.1. Company Overview
- 13.20.2. Company Revenue
- 13.20.3. Products
- 13.20.4. Recent Developments
13.21. Dataiku (US)
- 13.21.1. Company Overview
- 13.21.2. Company Revenue
- 13.21.3. Products
- 13.21.4. Recent Developments
13.22. DataRobot (US)
- 13.22.1. Company Overview
- 13.22.2. Company Revenue
- 13.22.3. Products
- 13.22.4. Recent Developments
13.23. Apheris (Germany)
- 13.23.1. Company Overview
- 13.23.2. Company Revenue
- 13.23.3. Products
- 13.23.4. Recent Developments
13.24. Comet (US)
- 13.24.1. Company Overview
- 13.24.2. Company Revenue
- 13.24.3. Products
- 13.24.4. Recent Developments
13.25. Databand (US)
- 13.25.1. Company Overview
- 13.25.2. Company Revenue
- 13.25.3. Products
- 13.25.4. Recent Developments
13.26. dotData (US)
- 13.26.1. Company Overview
- 13.26.2. Company Revenue
- 13.26.3. Products
- 13.26.4. Recent Developments
13.27. Explorium (US)
- 13.27.1. Company Overview
- 13.27.2. Company Revenue
- 13.27.3. Products
- 13.27.4. Recent Developments
13.28. Noogata (US)
- 13.28.1. Company Overview
- 13.28.2. Company Revenue
- 13.28.3. Products
- 13.28.4. Recent Developments
13.29. Tecton (US)
- 13.29.1. Company Overview
- 13.29.2. Company Revenue
- 13.29.3. Products
- 13.29.4. Recent Developments
13.30. Spell (US)
- 13.30.1. Company Overview
- 13.30.2. Company Revenue
- 13.30.3. Products
- 13.30.4. Recent Developments
13.31. Arrikto (US)
- 13.31.1. Company Overview
- 13.31.2. Company Revenue
- 13.31.3. Products
- 13.31.4. Recent Developments
13.32. Iterative (US)
- 13.32.1. Company Overview
- 13.32.2. Company Revenue
- 13.32.3. Products
- 13.32.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies