Data Science Platform Market Size to Exceed US$ 378.7 Billion by 2030 | Says Precedence Research

According to Precedence Research, during the forecast period of 2022 to 2030, the global data science platform market is estimated to develop at a compound annual growth rate (CAGR) of 16.43%. The global data science platform market was valued at USD xx billion in 2021, and it is predicted to exceed USD 378.7 billion by 2030. The study investigates several elements and their consequences on the growth of the data science platform market.

Download Free Sample Copy with TOC@ https://www.precedenceresearch.com/sample/2030

This report focuses on data science platform market volume and value at the global level, regional level and company level. From a global perspective, this report represents overall data science platform market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, Middle East & Africa, Latin America, etc.

Report Scope of the Enterprise Application Market

The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

In-Depth Analysis on Competitive Landscape

The report sheds light on leading manufacturers of data science platform, along with their detailed profiles. Essential and up-to-date data related to market performers who are principally engaged in the production of data science platform has been brought with the help of a detailed dashboard view. Market share analysis and comparison of prominent players provided in the report permits report readers to take preemptive steps in advancing their businesses.

Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the data science platform market.

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

Ask Here For More Customization Study@ https://www.precedenceresearch.com/customization/2030

Segments Covered in the Report

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]

Some of the important ones are:

• What can be the best investment choices for venturing into new product and service lines?
• What value propositions should businesses aim at while making new research and development funding?
• Which regulations will be most helpful for stakeholders to boost their supply chain network?
• Which regions might see the demand maturing in certain segments in near future?
• What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?
• Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?
• Which government regulations might challenge the status of key regional markets?
• How will the emerging political and economic scenario affect opportunities in key growth areas?
• What are some of the value-grab opportunities in various segments?
• What will be the barrier to entry for new players in the market?

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

Buy This Premium Research Report Click Here@ https://www.precedenceresearch.com/checkout/2030

About Us

Precedence Research is a Canada/India based company and one of the leading providers of strategic market insights. We offer executive-level blueprints of markets and solutions beyond flagship surveys. Our repository covers consultation, syndicated market studies, and customized research reports. Through our services we aim at connecting an organization’s goal with lucrative prospects globally.

From gauging investment feasibility to uncovering hidden growth opportunities, our market studies cover in-depth analysis, which also is interspersed with relevant statistics. Recommendation are often enclosed within our reports with the sole intent of enabling organizations achieve mission-critical success.

Contact Us:                  

Precedence Research

Apt 1408 1785 Riverside Drive Ottawa, ON, K1G 3T7, Canada

Call: +1 9197 992 333

Email: sales@precedenceresearch.com

Website: https://www.precedenceresearch.com