Data Science Platform Market Size At Around US$ 378.7 Bn In 2030

The data science platforms market would grow at a CAGR of 16.43% over the predicted time frame. The market is expected to increase in value from US$ 112.12 Bn in 2022 to US$ 378.7 Bn in 2030.

The on data science platforms Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.

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Report Scope of the Enterprise Application Market

Report Coverage	Details
Market Size in 2022	USD 112.12 Billion
Market Size by 2030	USD 378.7 Billion
Growth Rate from 2022 to 2030	CAGR of 16.43%
Base Year	2021
Forecast Period	2022 to 2030
Segments Covered	Component, Application, Industry Vertical, Organization Size, Deployment Mode, Geography

A recent report provides crucial insights along with application based and forecast information in the Global Data science platforms Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Data science platforms market.

A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.

Companies and Manufacturers Covered

The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Data science platforms market are included as given below:

Data science platforms Market Key Players

• ALTERYX INC.
• CLOUDERA INC.
• DATAROBOT INC.
• DOMINO DATA LAB INC.
• Databricks
• IBM CORPORATION
• Rexer Analytics
• RAPIDMINER INC.
• RAPID INSIGHT
• OLFRAM

Market Segments

By Component

• Platform
• Services

By Application

• Marketing & Sales
• Logistics
• Finance and Accounting
• Customer Support
• Others

By Industry Vertical

• BFSI
• Retail and E-Commerce
• IT and Telecom
• Transportation
• Healthcare
• Manufacturing
• Others

By Organization Size

• Small and Medium-Sized Enterprises
• Large Enterprises

By Deployment Mode

• Cloud
• On-premises

By Geography

• North America
  • U.S.
  • Canada
• Europe
  • U.K.
  • Germany
  • France
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Malaysia
  • Philippines
• Latin America
  • Brazil
  • Rest of Latin America
• Middle East & Africa (MEA)

Report Objectives

• To define, describe, and forecast the global data science platforms market based on product, and region
• To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
• To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
• To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
• To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
• To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
• To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the data science platforms market

Table of Content

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Data Science Platform Market 

5.1. COVID-19 Landscape: Data Science Platform Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Data Science Platform Market, By Component

8.1. Data Science Platform Market, by Component, 2022-2030

8.1.1. Platform

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Services

8.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Data Science Platform Market, By Application

9.1. Data Science Platform Market, by Application, 2022-2030

9.1.1. Marketing & Sales

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Logistics

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Finance and Accounting

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Customer Support

9.1.4.1. Market Revenue and Forecast (2017-2030)

9.1.5. Others

9.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Data Science Platform Market, By Industry Vertical 

10.1. Data Science Platform Market, by Industry Vertical, 2022-2030

10.1.1. BFSI

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Retail and E-Commerce

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. IT and Telecom

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.4. Transportation   

10.1.4.1. Market Revenue and Forecast (2017-2030)

10.1.5. Healthcare

10.1.5.1. Market Revenue and Forecast (2017-2030)

10.1.6. Manufacturing

10.1.6.1. Market Revenue and Forecast (2017-2030)

10.1.7. Others

10.1.7.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Data Science Platform Market, By Organization Size

11.1. Data Science Platform Market, by Organization Size, 2022-2030

11.1.1. Small and Medium-Sized Enterprises

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Large Enterprises

11.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Data Science Platform Market, By Deployment Mode

12.1. Data Science Platform Market, by Deployment Mode, 2022-2030

12.1.1. Cloud

12.1.1.1. Market Revenue and Forecast (2017-2030)

12.1.2. On-premises

12.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 13. Global Data Science Platform Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Component (2017-2030)

13.1.2. Market Revenue and Forecast, by Application (2017-2030)

13.1.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.1.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.1.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Component (2017-2030)

13.1.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.1.6.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.1.6.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.1.6.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.1.7.  Rest of North America

13.1.7.1.  Market Revenue and Forecast, by Component (2017-2030)

13.1.7.2. Market Revenue and Forecast, by Application (2017-2030)

13.1.7.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.1.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.1.7.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Component (2017-2030)

13.2.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.2.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.2.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Component (2017-2030)

13.2.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.6.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.2.6.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.2.6.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.2.7.  Germany

13.2.7.1. Market Revenue and Forecast, by Component (2017-2030)

13.2.7.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.7.3.  Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.2.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.2.7.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.2.8.  France

13.2.8.1. Market Revenue and Forecast, by Component (2017-2030)

13.2.8.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.8.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.2.8.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.2.8.5.  Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.2.9. Rest of Europe

13.2.9.1. Market Revenue and Forecast, by Component (2017-2030)

13.2.9.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.9.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.2.9.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.2.9.5.  Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Component (2017-2030)

13.3.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.3.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.3.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.3.6.  India

13.3.6.1. Market Revenue and Forecast, by Component (2017-2030)

13.3.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.6.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.3.6.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.3.6.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.3.7. China

13.3.7.1. Market Revenue and Forecast, by Component (2017-2030)

13.3.7.2.  Market Revenue and Forecast, by Application (2017-2030)

13.3.7.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.3.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.3.7.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.3.8. Japan

13.3.8.1. Market Revenue and Forecast, by Component (2017-2030)

13.3.8.2.  Market Revenue and Forecast, by Application (2017-2030)

13.3.8.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.3.8.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.3.8.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.3.9. Rest of APAC

13.3.9.1. Market Revenue and Forecast, by Component (2017-2030)

13.3.9.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.9.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.3.9.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.3.9.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Component (2017-2030)

13.4.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.4.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.4.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Component (2017-2030)

13.4.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.6.3.  Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.4.6.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.4.6.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.4.7. North Africa

13.4.7.1. Market Revenue and Forecast, by Component (2017-2030)

13.4.7.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.7.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.4.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.4.7.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.4.8. South Africa

13.4.8.1. Market Revenue and Forecast, by Component (2017-2030)

13.4.8.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.8.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.4.8.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.4.8.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.4.9. Rest of MEA

13.4.9.1. Market Revenue and Forecast, by Component (2017-2030)

13.4.9.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.9.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.4.9.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.4.9.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.5.  Latin America

13.5.1. Market Revenue and Forecast, by Component (2017-2030)

13.5.2. Market Revenue and Forecast, by Application (2017-2030)

13.5.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.5.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.5.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Component (2017-2030)

13.5.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.5.6.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.5.6.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.5.6.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.5.7. Rest of LATAM

13.5.7.1. Market Revenue and Forecast, by Component (2017-2030)

13.5.7.2. Market Revenue and Forecast, by Application (2017-2030)

13.5.7.3. Market Revenue and Forecast, by Industry Vertical (2017-2030)

13.5.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)

13.5.7.5. Market Revenue and Forecast, by Deployment Mode (2017-2030)

Chapter 14. Company Profiles

14.1. ALTERYX INC.

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. CLOUDERA INC.

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. DATAROBOT INC.

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. DOMINO DATA LAB INC.

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Databricks

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. IBM CORPORATION

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Rexer Analytics

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. RAPIDMINER INC.

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. RAPID INSIGHT

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. OLFRAM

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

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