Data Science Platform Market Size to Worth Around US$ 378.7 Billion by 2030

[150+ Pages Report] As per the latest Research and survey report issued by Precedence Research, the global data science platform market was valued at around USD 96.3 billion in 2021 and is expected to register revenues worth USD 378.7 billion by the end of 2030, growing at an exceptional CAGR of approximately 16.43% between 2022 and 2030.

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Data Science Platform Market Report Scope

A recent study by Precedence Research on the data science platform market offers a forecast for 2022 and 2030. The study analyzes crucial trends that are currently determining the growth of the data science platform market. This report explicates on vital dynamics such as the drivers, restraints, and opportunities for key market players, along with key stakeholders as well as emerging players associated with the manufacturing of data science platform. The study also provides the dynamics that are responsible for influencing the future status of the data science platform market over the forecast period.

A detailed assessment of the data science platform market value chain analysis, business execution, and supply chain analysis across regional markets has been covered in the report. A list of prominent companies operating in the data science platform market along with their product portfolio enhances the reliability of this comprehensive research study.

Competition Landscape

The report has engulfed a chapter on the global data science platform market’s competitive landscape, which provides detailed analysis and insights on companies offering data science platform. Profiles of key companies, along with a strategic overview of their M&A and expansion plans across geographies, have been delivered in this chapter. This chapter is priceless for report readers, as its enables them in gauging their growth potential in the market and implement key strategies for extending their market reach.

This chapter offers key recommendations for both new and existing market participants, enabling them to emerge sustainably and profitably. Intelligence on the market players has been delivered on the basis of their product overview, SWOT analysis, key developments, key financials and company overview. Occupancy of these market participants has been tracked by the report and portrayed via an intensity map.

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Some of the Prominent Players in the Data Science Platform Market Include:

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

Data Science Platform Market Segmentation

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

Regional Segmentation

• Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]
• Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
• North America [United States, Canada, Mexico]
• South America [Brazil, Argentina, Columbia, Chile, Peru]
• Middle East & Africa [GCC, North Africa, South Africa]

Regional Analysis

The research report includes a detailed study of regions of North America, Europe, China, Japan and Rest of the World. The report has been curated after observing and studying various factors that determine regional growth such as economic, environmental, social, technological, and political status of the particular region. Analysts have studied the data of revenue and manufacturers of each region. This section analyses region-wise revenue and volume for the forecast period of 2022 to 2030. These analyses will help the reader to understand the potential worth of investment in a particular region.

The report provides in-depth segment analysis of the global data science platform market, thereby providing valuable insights at macro as well as micro levels. Analysis of major countries, which hold growth opportunities or account for significant share has also been included as part of geographic analysis of the data science platform market.

The report includes country-wise and region-wise market size for the period 2022-2030. It also includes market size and forecast by segments in terms of production capacity, price and revenue for the period 2022-2030.

Why should you invest in this report?

If you are aiming to enter the global data science platform market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for data science platform are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.

Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.

Table of Contents

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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