The latest market report published by Credence Research “Global Data Science Platform Market: Growth, Future Prospects, and Competitive Analysis, 2016 – 2028″. The Global Data Science Platform Market generated revenue of around USD 94.7 billion in 2021 and is anticipated to grow a CAGR of over 27.30 % during the forecast period from 2022 to 2028 to reach around USD 403.01 billion in 2028. While cumulative growth opportunity presented by the global Data Science Platform market is around USD 308.31 billion from 2022 to 2028.

Greater investments in research and development have led to the rapid evolution of technology. As a result, the need for technologies that can increase productivity and efficiency grows as businesses grow. The use of platforms and software is expanding as a result of the popularity of technologies like machine learning (ML), artificial intelligence (A.I.), and the internet of things (IoT). Modern data handling systems and solutions are crucial for corporate expansion as data volumes continue to rise. As machine learning becomes more prevalent, data science platforms that make it easier to design, train, scale, and deploy ML models are needed. Machine learning and artificial intelligence also drive data science and data management.

The global Data Science Platform market is bifurcated into Component, Deployment Mode, Organization Size, Business Function, Vertical, and Geography. Based on components, the market is categorized into platforms and services. On the basis of deployment mode, the global market is segmented into cloud and on-premises. Based on organization size, the market is categorized into small and medium-sized enterprises and large enterprises. Based on business function, the global market is segmented into marketing, sales, logistics, finance and accounting, customer support, and other business functions (HR and operations). On the basis of vertical, the global market is segmented into BFSI, retail and eCommerce, telecom and IT, media and entertainment, healthcare and life sciences, government and defense, manufacturing, transportation and logistics, energy and utilities, and other verticals (travel and hospitality, and education and research). Finally, based on geography, the market is segmented as North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa.

North America dominated the global market for data science platforms in 2021 and accounted for a sizable portion of market revenue. Because of significant businesses, technical know-how, and expanding need for data science platforms in the area. The United States produces about 1.2 billion clinical papers yearly, giving medical practitioners and researchers access to substantial data. The area’s broad use of wearable technology has also made a vast amount of health-related information readily available, opening up new possibilities for developing a sophisticated, informed healthcare system. 

Data Science Platform Market Scope

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Segmentation of Global Data Science Platform Market-

Global Data Science Platform Market – By Component

• Platform
• Services

Global Data Science Platform Market – By Deployment Mode

• Cloud
• On-premises

Global Data Science Platform Market – By Organization Size

• Small and Medium-Sized Enterprises
• Large Enterprises

Global Data Science Platform Market – By Business Function

• Marketing
• Sales
• Logistics
• Finance and Accounting
• Customer Support
• Other Business Functions (HR and operations)

Global Data Science Platform Market – By Vertical

• BFSI
• Retail and eCommerce
• 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)

Why to Buy This Report-

• The report provides a qualitative and quantitative analysis of the global Data Science Platform market by segments, current trends, drivers, restraints, opportunities, challenges, and market dynamics with the historical period from 2016-2020, base year- 2021, and forecast period 2022-2028.
• The report contains information related to the competitive landscape like how the key players in the market are operating at a global, regional, and country level.
• In-depth analysis of the global data science platforms’ market segmentation based on nature, end-use, extraction process, and sales channel.
• The global Data Science Platform market report also includes analyzing the global, regional, and country levels, along with key market trends, significant players analysis, market growth strategies, and key application areas.

Table Of Content:

1. Preface

1.1. Report Description

1.1.1. Purpose of the Report

1.1.2. Target Audience

1.1.3. USP and Key Offerings

1.2. Research Scope

1.3. Research Methodology

1.3.1. Phase I – Secondary Research

1.3.2. Phase II-Primary Research

1.3.3. Phase III – Expert Panel Review

1.3.4. Approach Adopted

1.3.4.1. Top-Down Approach

1.3.4.2. Bottom-Up Approach

1.3.5. Assumptions

1.4. Market Segmentation

2. Executive Summary

2.1. Market Snapshot: Global Data Science Platform Market

3. Market Dynamics & Factors Analysis

3.1. Introduction

3.1.1. Global Data Science Platform Market Value, 2016-2028, (US$ Bn)

3.2. Market Dynamics

3.2.1. Key Growth Trends

3.2.2. Major Industry Challenges

3.2.3. Key Growth Pockets

3.3. Attractive Investment Proposition,2021

3.3.1. Component

3.3.2. Deployment Mode

3.3.3. Organization Size

3.3.4. Business Function

3.3.5. Vertical

3.3.6. Geography

3.4. Porter’s Five Forces Analysis

3.4.1. Threat of New Entrants

3.4.2. Bargaining Power of Buyers/Consumers

3.4.3. Bargaining Power of Suppliers

3.4.4. Threat of Substitute Types

3.4.5. Intensity of Competitive Rivalry

3.5. Value Chain Analysis

4. Market Positioning of Key Players, 2021

4.1. Company market share of key players, 2021

4.2. Competitive Benchmarking

4.3. Geographical Presence Analysis

4.4. Major Strategies Adopted by Key Players

4.4.1. Key Strategies Analysis

4.4.2. Mergers and Acquisitions

4.4.3. Partnerships

4.4.4. Product Launch

4.4.5. Geographical Expansion

4.4.6. Others

5. COVID 19 Impact Analysis

5.1. Global Data Science Platform Market Pre Vs Post COVID 19, 2019 – 2028

5.2. Impact on Import & Export

5.3. Impact on Demand & Supply

6. North America

6.1. North America Data Science Platform Market, by Country, 2016-2028(US$ Bn)

6.1.1. U.S.

6.1.2. Canada

6.1.3. Mexico

6.2. North America Data Science Platform Market, by Component, 2016-2028(US$ Bn)

6.2.1. Overview

6.2.2. Platform

6.2.3. Services

6.3. North America Data Science Platform Market, by Deployment Mode, 2016-2028(US$ Bn)

6.3.1. Overview

6.3.2. Cloud

6.3.3. On-premises

6.4. North America Data Science Platform Market, by Organization Size, 2016-2028(US$ Bn)

6.4.1. Overview

6.4.2. Small and Medium-Sized Enterprises

6.4.3. Large Enterprises

6.5. North America Data Science Platform Market, by Business Function, 2016-2028(US$ Bn)

6.5.1. Overview

6.5.2. Marketing

6.5.3. Sales

6.5.4. Logistics

6.5.5. Finance and Accounting

6.5.6. Customer Support

6.5.7. Other Business Functions (HR and operations)

6.6. North America Data Science Platform Market, by Vertical, 2016-2028(US$ Bn)

6.6.1. Overview

6.6.2. BFSI

6.6.3. Retail and eCommerce

6.6.4. Telecom and IT

6.6.5. Media and Entertainment

6.6.6. Healthcare and Life Sciences

6.6.7. Government and Defense

6.6.8. Manufacturing

6.6.9. Transportation and Logistics

6.6.10. Energy and Utilities

6.6.11. Other Verticals (travel and hospitality, and education and research).

7. Europe

………

8. Asia Pacific

……….

9. Latin America

……….

10. Middle East

……….

11. Africa

………..

12. Global

12.1. Global Data Science Platform Market, by Component, 2016-2028(US$ Bn)

12.1.1. Overview

12.1.2. Platform

12.1.3. Services

12.2. Global Data Science Platform Market, by Deployment Mode, 2016-2028(US$ Bn)

12.2.1. Overview

12.2.2. Cloud

12.2.3. On-premises

12.3. Global Data Science Platform Market, by Organization Size, 2016-2028(US$ Bn)

12.3.1. Overview

12.3.2. Small and Medium-Sized Enterprises

12.3.3. Large Enterprises

12.4. Global Data Science Platform Market, by Business Function, 2016-2028(US$ Bn)

12.4.1. Overview

12.4.2. Marketing

12.4.3. Sales

12.4.4. Logistics

12.4.5. Finance and Accounting

12.4.6. Customer Support

12.4.7. Other Business Functions (HR and operations)

12.5. Global Data Science Platform Market, by Vertical, 2016-2028(US$ Bn)

12.5.1. Overview

12.5.2. BFSI

12.5.3. Retail and eCommerce

12.5.4. Telecom and IT

12.5.5. Media and Entertainment

12.5.6. Healthcare and Life Sciences

12.5.7. Government and Defense

12.5.8. Manufacturing

12.5.9. Transportation and Logistics

12.5.10. Energy and Utilities

12.5.11. Other Verticals (travel and hospitality, and education and research).

13. Company Profiles

13.1. IBM

13.2. Google

13.3. Microsoft

13.4. SAS

13.5. AWS

13.6. MathWorks

13.7. Cloudera

13.8. Teradata

13.9. TIBCO

13.10. Alteryx

13.11. Others

…………..

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