Data Science Platform Market Size, Share, Opportunities, And Trends By Offering (Solutions, Services), By Deployment (Cloud, On-premise), By End-User Industry (BFSI, Communication and Technology, Retail, Media and Entertainment, Manufacturing, Healthcare, Others), And By Geography - Forecasts From 2025 To 2030

Data Science Platform Market Size:

The Data Science Platform Market is expected to grow from US$102.329 billion in 2025 to US$264.102 billion in 2030, at a CAGR of 20.88%.

A data science platform is a complete software solution that consists of numerous business intelligence tools that include machine learning and other analytical tools that enable organizations to plan their strategies by uncovering actionable insights from the data and further plan their operations accordingly. The major factors that drive the data science platform market include the rising focus of the companies, especially the SMEs, on the use of various BI tools due to the growing data-driven operations across various industry verticals. The inclination of organizations toward data-intensive business techniques further provides an impetus for the market to surge shortly. Furthermore, the continuously growing businesses across the various industry verticals are further widening up the opportunities for the market to grow in the coming years on account of the burgeoning requirements for the use of numerous tools to supplement the workflow of growing data-based operations across the different departments.

Additionally, the ease of pooling the resources from one centralized location along with the swift deployment of analytics models that these platforms facilitate is further inclining organizations towards their increased usage and thereby boosting the market growth throughout the forecast period. The market is projected to show rapid growth over the next five years owing to the rapidly growing data-driven operations across various industries, as these tools can increase the ROIs expected by the companies. Booming expenditure on IT infrastructure across the various developed economies is also anticipated to be a key factor bolstering the market growth significantly. Moreover, the booming investments in big data and Industry 4.0 across industry verticals are further anticipated to propel the opportunities for the market to grow shortly.

Data Science Platform Market Growth Drivers:

• Solutions are anticipated to hold a significant market share

The solutions segment is anticipated to hold a notable share in the market throughout the forecast period due to the burgeoning adoption of these solutions across SMEs. Furthermore, the inclination of organizations towards digitization and automation has further led to an increase in data-driven operations, which is positively driving the demand for these solutions across various industries, including healthcare, retail, and BFSI, among others. Moreover, the services segment is anticipated to show robust growth during the next five years due to the rising deployment of these solutions across industries. Major market players provide technical know-how support services to their customers by way of assisting them in various projects where there is a rising demand for these solutions and consultancy services. Proper maintenance and working of system hardware also increase the demand for services provided by the data science platform providers, which is further supplementing the growth of this segment during the next five years.

• Healthcare sector to show a notable growth

By the end-user industry, the healthcare segment is projected to show notable growth during the forecast period owing to the growing adoption of data-driven operations across the healthcare sector. The rising penetration of BI and AI tools across the healthcare sector is also bolstering the growth of this segment over the coming years. Additionally, the rising investments in the healthcare sector to uplift the infrastructure across many developing countries are also anticipated to propel the opportunities for the market to grow in the coming years.

Data Science Platform Market Restraints:

However, the growth of the data science platform may be restrained by the fact that the increasing concerns over the security and protection of the crucial data of the companies are further making firms with low budgets reluctant towards the adoption of these tools. The lack of a skilled workforce coupled with the high initial investments is also some of the prime factors that further inhibit the market’s growth to some extent during the next five years.\

Data Science Platform Market Geographical Outlook:

• North America is projected to hold a noteworthy share in the market

Geographically, the North American region is anticipated to hold a significant market share owing to the early adoption of technology coupled with the presence of state-of-art infrastructure. Furthermore, the presence of the key market players in the region is also a prime factor that further supports the significant share of the North American region throughout the forecast period. The Asia Pacific region is anticipated to show robust growth opportunities during the coming years owing to the rising number of SMEs and growing investments in the adoption of various BI solutions across the different industry verticals.

Data Science Platform Market Segmentations:

Data Science Platform Market Segmentation by offering:

The market is analyzed by offering into the following:

• Solutions
  
• Services

Data Science Platform Market Segmentation by deployment

The report analyzes the market by deployment as below:

• Cloud
  
• On-premise

Data Science Platform Market Segmentation by enterprise size:

The report analyzes the market by enterprise size as below:

• Small and Medium Enterprises (SMEs)
  
• Large Enterprises

Data Science Platform Market Segmentation by End-Users Industry

The report analyzes the market by end-users industry as below:

• BFSI
  
• Communication and IT
  
• Retail
  
• Media and Entertainment
  
• Manufacturing
  
• Healthcare
  
• Others

Data Science Platform Market Segmentation by regions:

The study also analysed the Data Science Platform Market into the following regions, with country level forecasts and analysis as below:

• North America (US, Canada and Mexico)
• South America (Brazil, Argentina, and Others)
• Europe (Germany, UK, France, Spain and Others
• Middle East and Africa (Saudi Arabia, UAE and Others)
• Asia Pacific (China, Japan, India, South Korea, Thailand, Indonesia, and Others)

Data Science Platform Market Competitive Landscape:

The Data Science Platform Market features key players such as Microsoft Corporation, International Business Machines Corporation (IBM), Google LLC, Oracle Corporation, SAS Institute Inc., Cloudera, Inc., RapidMiner, Inc. (Altair), Domino Data Lab, Inc., Alteryx Inc., and Dataiku SAS, among others.

Data Science Platform Market Report Coverage:

This report provides extensive coverage as explained in the points below:

• Market size, forecasts, and trends by different offerings, with historical revenue data and analysis focusing on key factors driving adoption, current challenges faced by key players, and major growth areas.
• Market size, forecasts, and trends by deployment, with historical revenue data and analysis.
• Market size, forecasts, and trends by enterprise size, with historical revenue data and analysis across various segments.
• Market size, forecasts, and trends by end-users industry, with historical revenue data and analysis.
• Data Science Platform Market is also analysed across different regions, with historical data, regional share, attractiveness, and opportunity of these solutions in different countries. The growth prospects and key players operating in these markets. The section also dwells on the macro factors, economic scenario and other complementing factors aiding in market growth.
• Market dynamics: The section details the market growth factors, restraints, and opportunities in the market. The segment also presents complete market scenario with the help of Porter’s five forces model.
• Competitive Intelligence: A thorough investigation on the competitive structure of the market presented through proprietary vendor matrix model, market share analysis of key players, insights on strategies of key players and recent major developments undertaken by the companies to gain competitive edge.
• Research methodology: The assumptions and sources which were considered to arrive at the final market estimates. Additionally, how our model is refined to ensure most significant factors are taken into consideration with the proper hypothesis and bottom-up and top-down approaches enhance the reliability of forecasts further strengthening the trustworthiness of the numbers being presented.

How this report is helpful to you and reasons for purchase?

• The report provides a strategic outlook of the data science platform market to the decision-makers, analysts and other stakeholders in the easy-to-read format for taking informed decisions.
• The charts, tables and figures make it easy for the executives to gain valuable insights while skimming the report.
• Analyst support through calls and email for timely clarification and incorporating additional requests.
• Option of presentation or doc format with the estimates file to take care of diverse requirements.
• 15% FREE customization with all our reports help cater additional requirements with significant cost-savings.
• Option of purchasing specific segments of the study, including opting for summary reports or just the estimates file. 

Data Science Platform Market Scope:

Report Metric	Details
Data Science Platform Market Size in 2025	US$102.329 billion
Data Science Platform Market Size in 2030	US$264.102 billion
Growth Rate	CAGR of 20.88%
Study Period	2020 to 2030
Historical Data	2020 to 2023
Base Year	2024
Forecast Period	2025 – 2030
Forecast Unit (Value)	USD Billion
Segmentation	Offering Deployment End-User Industry Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in the Data Science Platform Market	Microsoft IBM Google Oracle SAS Institute Inc.
Customization Scope	Free report customization with purchase

 

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1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

2.1. Market Overview

2.2. Market Definition

2.3. Scope of the Study

2.4. Market Segmentation

3. BUSINESS LANDSCAPE

3.1. Market Drivers

3.2. Market Restraints

3.3. Market Opportunities

3.4. Porter’s Five Forces Analysis

3.5. Industry Value Chain Analysis

3.6. Policies and Regulations

3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. DATA SCIENCE PLATFORM MARKET BY OFFERING

5.1. Introduction

5.2. Solutions

5.3. Services

6. DATA SCIENCE PLATFORM MARKET BY DEPLOYMENT

6.1. Introduction

6.2. Cloud

6.3. On-premise

7. DATA SCIENCE PLATFORM MARKET BY ENTERPRISE SIZE

7.1. Introduction

7.2. Small and Medium Enterprises (SMEs)

7.3. Large Enterprises

8. DATA SCIENCE PLATFORM MARKET BY END-USERS INDUSTRY

8.1. Introduction

8.2. BFSI

8.3. Communication and IT

8.4. Retail

8.5. Media and Entertainment

8.6. Manufacturing

8.7. Healthcare

8.8. Others

9. DATA SCIENCE PLATFORM MARKET BY GEOGRAPHY

9.1. Introduction

9.2. North America

9.2.1. USA

9.2.2. Canada

9.2.3. Mexico

9.3. South America

9.3.1. Brazil

9.3.2. Argentina

9.3.3. Others

9.4. Europe

9.4.1. United Kingdom

9.4.2. Germany

9.4.3. France

9.4.4. Italy

9.4.5. Spain

9.4.6. Others

9.5. Middle East and Africa

9.5.1. Saudi Arabia

9.5.2. UAE

9.5.3. Others

9.6. Asia Pacific

9.6.1. China

9.6.2. Japan

9.6.3. India

9.6.4. South Korea

9.6.5. Taiwan

9.6.6. Thailand

9.6.7. Indosneisa

9.6.8. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

10.1. Major Players and Strategy Analysis

10.2. Market Share Analysis

10.3. Mergers, Acquisitions, Agreements, and Collaborations

10.4. Competitive Dashboard

11. COMPANY PROFILES

11.1. Microsoft Corporation

11.2. IBM

11.3. Google LLC

11.4. Oracle Corporation

11.5. SAS Institute Inc.

11.6. Cloudera, Inc.

11.7. RapidMiner, Inc. (Altair)

11.8. Domino Data Lab, Inc.

11.9. Alteryx Inc.

11.10. Dataiku SAS

12. APPENDIX

12.1. Currency

12.2. Assumptions

12.3. Base and Forecast Years Timeline

12.4. Key benefits for the stakeholders

12.5. Research Methodology

12.6.Abbreviations 

Microsoft Corporation

IBM

Google LLC

Oracle Corporation

SAS Institute Inc.

Cloudera, Inc.

RapidMiner, Inc. (Altair)

Domino Data Lab, Inc.

Alteryx Inc.

 

Dataiku SAS