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Data Science Platform Market

Global Data Science Platform Market Size, Share, Forecast: By Component: Platform, Services; By Deployment: Cloud, On-Premises; By Organisation Size: Small and Medium Enterprise, Large Enterprise; By Industry: BFSI, Telecommunication and IT, Retail and E-Commerce, Others; Regional Analysis; Competitive Landscape; 2024-2032

Global Data Science Platform Market Outlook

The global data science platform market size was approximately USD 155.41 billion in 2023. The market is assessed to grow at a CAGR of 20.4% between 2024 and 2032, reaching a value of USD 859.79 billion by 2032.

 

Key Trends in the Global Data Science Platform Market

A data science platform is a software solution that comprises of machine learning and other advanced analytical tools. It enables data scientists to effectively plan strategies, discover actionable insights by interpreting data, and communicate their insights across the entire organisation easily. It is used to run experiments and test new ideas, review them, and make necessary changes.

 

  • The increasing availability of large data sets is supporting the data science platform market growth. Organisations around the world are finding it challenging to handle the enormous amount of data at their disposal. The increase in data complexities and availability of exponentially large data sets is further boosting the requirement for well-designed and easily operable data science platforms.
  • Advancements in Natural Language Processing (NLP) are providing lucrative growth opportunities to the market. Data analysts and scientists use NLP techniques such as sentiment classifiers and text classifications for understanding and analysing the user sentiment, essential for making data-driven decisions by gauging customer satisfaction. Further advancements can also make it relevant to specific tasks of research like summarisation, data labelling, brainstorming, and rephrasing, thereby helping researchers in answering questions in minutes or hours instead of weeks or months.
  • The requirement for data science platforms is also increasing for creating high-quality data visualisation effects for marketing campaigns. This helps brands in communicating their ideas faster to the target audience and leaves a lasting impression. These platforms can also aid in analysing various trends and patterns that can influence their marketing outcomes, like number of defective pieces per hundred non-defective pieces, among others.

 

Global Data Science Platform Market Segmentation

Based on component, the market is segregated into platform and services. Services are sub-divided into professional services, consulting, deployment and integration, and support and maintenance. On the basis of deployment, the market is bifurcated into cloud and on-premises. Based on organisation size, the data science platform market segmentation includes small and medium enterprise and large enterprise.

 

On the basis of industry, the market is divided into BFSI, telecommunication and IT, retail and e-commerce, health and lifesciences, government and defence, media and entertainment, manufacturing, transportation and logistics, and energy and utilities, among others. The major regional markets for data science platforms include North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.

 

The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the global data science platform market, covering their competitive landscape and latest developments like mergers, acquisitions, investments, and expansion plans.

 

  • IBM Corporation
  • Alphabet Inc.
  • Microsoft Corporation
  • The MathWorks, Inc.
  • SAS Institute Inc.
  • Cloudera, Inc
  • Cloud Software Group, Inc.
  • Alteryx, Inc. 
  • Dataiku Inc.
  • TIBCO Software Inc
  • Others

 

Global Data Science Platform Market Share by Industry

As per the data science platform market analysis, the telecommunication and IT industry is one of the leading end users of data science platforms like MATLAB and Alteryx Designer. These platforms help companies to mitigate risks and frauds by predicting threats. They also enable businesses to identify opportunities and gaps in the market and create products that best fit customer needs.

 

Meanwhile, the use of data science platforms is also increasing in health and lifescience sectors. Data science platforms are used to monitor patient health and detect diseases at an early stage. This improves the efficiency of healthcare workflow and lowers the risk of treatment failure.

 

Global Data Science Platform Market Share by Region

North America accounts for a significant data science platform market share. This growth can be attributed to the strong presence of key market players in the region including IBM Corporation, Alphabet Inc., and Microsoft Corporation, among others. The increasing investments by countries like the USA, towards advanced solutions to help businesses improve their decision-making capabilities are supporting the market expansion.

 

Meanwhile, the Asia Pacific is witnessing a rise in demand for data science platforms and their growing installations. In China, the government is significantly investing in data analytical tools owing to their applications in a range of sectors and their capability to enhance workflow and improve productivity. In India, proliferation of tech ecosystem has created a huge demand for data science platforms. These trends are also being witnessed in Japan, Singapore, and South Korea as well, boosting the data science platform market demand.

 

Competitive Landscape

IBM Corporation was found in 1911 and is headquartered in New York, the United States. Nicknamed as the Big Blue, it is a leading provider of global hybrid cloud and AI. It helps businesses capitalise on their insights from data, streamline business processes, reduce costs, and gain a competitive edge in their industries. It is present in 175 countries and some of its famous inventions include electronic key punch, and hard disk drive, among others.

 

Alphabet Inc. was found in 2015 and is headquartered in California, the United States. It is a holding company which engages in the business of acquisition and operation of different companies. It operates through Google and other segments. The Google includes its main Internet products such as ads, google maps, YouTube, and google search, among others.

 

Microsoft Corporation was found in 1975 and is headquartered in Washington, the United States. It engages in the development and support of software, services, devices, and solutions. It operates through multiple business segments like productivity and business, intelligent cloud, and personal computing. It also provides operating systems, cross device productivity applications, server applications, and business solutions applications, among others.

 

Other key players in the data science platform market include The MathWorks, Inc., SAS Institute Inc., Cloudera, Inc, Cloud Software Group, Inc., Alteryx, Inc., Dataiku Inc., and TIBCO Software Inc, among others.

 

Key Highlights of the Report

REPORT FEATURES DETAILS
Base Year 2023
Historical Period 2018-2023
Forecast Period 2024-2032
Scope of the Report

Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:

  • Component
  • Deployment
  • Organisation Size
  • Industry
  • Region
Breakup by Component
  • Platform
  • Services
Breakup by Deployment
  • Cloud
  • On-Premises
Breakup by Organisation Size
  • Small and Medium Enterprise
  • Large Enterprise
Breakup by Industry
  • BFSI
  • Telecommunication and IT
  • Retail and E-Commerce
  • Healthcare and Lifesciences
  • Government and Defence
  • Media and Entertainment
  • Manufacturing
  • Transportation and Logistics
  • Energy and Utilities
  • Others
Breakup by Region
  • North America
    • United States of America 
    • Canada
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • ASEAN
    • Australia
    • Others
  • Latin America
    • Brazil
    • Argentina
    • Mexico
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • United Arab Emirates
    • Nigeria
    • South Africa
    • Others
Market Dynamics
  • SWOT Analysis
  • Porter's Five Forces Analysis
  • Key Indicators for Demand
  • Key Indicators for Price
Competitive Landscape
  • Market Structure
  • Company Profiles
    • Company Overview
    • Product Portfolio
    • Demographic Reach and Achievements
    • Certifications
Companies Covered
  • IBM Corporation
  • Alphabet Inc.
  • Microsoft Corporation
  • The MathWorks, Inc.
  • SAS Institute Inc.
  • Cloudera, Inc
  • Cloud Software Group, Inc.
  • Alteryx, Inc.
  • Dataiku Inc.
  • TIBCO Software Inc
  • Others

 

*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.

1    Preface
2    Report Coverage – Key Segmentation and Scope
3    Report Description   
    3.1    Market Definition and Outlook
    3.2    Properties and Applications
    3.3    Market Analysis
    3.4    Key Players
4    Key Assumptions
5    Executive Summary
    5.1    Overview
    5.2    Key Drivers
    5.3    Key Developments
    5.4    Competitive Structure
    5.5    Key Industrial Trends
6    Market Snapshot
    6.1    Global
    6.2    Regional
7    Opportunities and Challenges in the Market
8    Global Data Science Platform Market Analysis
    8.1    Key Industry Highlights
    8.2    Global Data Science Platform Historical Market (2018-2023) 
    8.3    Global Data Science Platform Market Forecast (2024-2032)
    8.4    Global Data Science Platform Market by Component
        8.4.1    Platform
            8.4.1.1    Historical Trend (2018-2023)
            8.4.1.2    Forecast Trend (2024-2032)
        8.4.2    Services
            8.4.2.1    Historical Trend (2018-2023)
            8.4.2.2    Forecast Trend (2024-2032)
                8.4.2.2.1    Professional Services
                8.4.2.2.2    Consulting
                8.4.2.2.3    Deployment and Integration
                8.4.2.2.4    Support and Maintenance 
    8.5    Global Data Science Platform Market by Deployment
        8.5.1    Cloud 
            8.5.1.1    Historical Trend (2018-2023)
            8.5.1.2    Forecast Trend (2024-2032)
        8.5.2    On-Premises
            8.5.2.1    Historical Trend (2018-2023)
            8.5.2.2    Forecast Trend (2024-2032)
    8.6    Global Data Science Platform Market by Organisation Size
        8.6.1    Small and Medium Enterprise
            8.6.1.1    Historical Trend (2018-2023)
            8.6.1.2    Forecast Trend (2024-2032)
        8.6.2    Large Enterprise
            8.6.2.1    Historical Trend (2018-2023)
            8.6.2.2    Forecast Trend (2024-2032)
    8.7    Global Data Science Platform Market by Industry
        8.7.1    BFSI
            8.7.1.1    Historical Trend (2018-2023)
            8.7.1.2    Forecast Trend (2024-2032)
        8.7.2    Telecommunication and IT 
            8.7.2.1    Historical Trend (2018-2023)
            8.7.2.2    Forecast Trend (2024-2032)
        8.7.3    Retail and E-Commerce
            8.7.3.1    Historical Trend (2018-2023)
            8.7.3.2    Forecast Trend (2024-2032)
        8.7.4    Healthcare and Lifesciences 
            8.7.4.1    Historical Trend (2018-2023)
            8.7.4.2    Forecast Trend (2024-2032)
        8.7.5    Government and Defence
            8.7.5.1    Historical Trend (2018-2023)
            8.7.5.2    Forecast Trend (2024-2032)
        8.7.6    Media and Entertainment
            8.7.6.1    Historical Trend (2018-2023)
            8.7.6.2    Forecast Trend (2024-2032)
        8.7.7    Manufacturing
            8.7.7.1    Historical Trend (2018-2023)
            8.7.7.2    Forecast Trend (2024-2032)
        8.7.8    Transportation and Logistics
            8.7.8.1    Historical Trend (2018-2023)
            8.7.8.2    Forecast Trend (2024-2032)
        8.7.9    Energy and Utilities
            8.7.9.1    Historical Trend (2018-2023)
            8.7.9.2    Forecast Trend (2024-2032)
        8.7.10    Others
    8.8    Global Data Science Platform Market by Region
        8.8.1    North America
            8.8.1.1    Historical Trend (2018-2023)
            8.8.1.2    Forecast Trend (2024-2032)
        8.8.2    Europe
            8.8.2.1    Historical Trend (2018-2023)
            8.8.2.2    Forecast Trend (2024-2032)
        8.8.3    Asia Pacific
            8.8.3.1    Historical Trend (2018-2023)
            8.8.3.2    Forecast Trend (2024-2032)
        8.8.4    Latin America
            8.8.4.1    Historical Trend (2018-2023)
            8.8.4.2    Forecast Trend (2024-2032)
        8.8.5    Middle East and Africa
            8.8.5.1    Historical Trend (2018-2023)
            8.8.5.2    Forecast Trend (2024-2032)
9    North America Data Science Platform Market Analysis
    9.1    United States of America 
        9.1.1    Historical Trend (2018-2023)
        9.1.2    Forecast Trend (2024-2032)
    9.2    Canada
        9.2.1    Historical Trend (2018-2023)
        9.2.2    Forecast Trend (2024-2032)
10    Europe Data Science Platform Market Analysis
    10.1    United Kingdom
        10.1.1    Historical Trend (2018-2023)
        10.1.2    Forecast Trend (2024-2032)
    10.2    Germany
        10.2.1    Historical Trend (2018-2023)
        10.2.2    Forecast Trend (2024-2032)
    10.3    France
        10.3.1    Historical Trend (2018-2023)
        10.3.2    Forecast Trend (2024-2032)
    10.4    Italy
        10.4.1    Historical Trend (2018-2023)
        10.4.2    Forecast Trend (2024-2032)
    10.5    Others
11    Asia Pacific Data Science Platform Market Analysis
    11.1    China
        11.1.1    Historical Trend (2018-2023)
        11.1.2    Forecast Trend (2024-2032)
    11.2    Japan
        11.2.1    Historical Trend (2018-2023)
        11.2.2    Forecast Trend (2024-2032)
    11.3    India
        11.3.1    Historical Trend (2018-2023)
        11.3.2    Forecast Trend (2024-2032)
    11.4    ASEAN
        11.4.1    Historical Trend (2018-2023)
        11.4.2    Forecast Trend (2024-2032)
    11.5    Australia
        11.5.1    Historical Trend (2018-2023)
        11.5.2    Forecast Trend (2024-2032)
    11.6    Others
12    Latin America Data Science Platform Market Analysis
    12.1    Brazil
        12.1.1    Historical Trend (2018-2023)
        12.1.2    Forecast Trend (2024-2032)
    12.2    Argentina
        12.2.1    Historical Trend (2018-2023)
        12.2.2    Forecast Trend (2024-2032)
    12.3    Mexico
        12.3.1    Historical Trend (2018-2023)
        12.3.2    Forecast Trend (2024-2032)
    12.4    Others
13    Middle East and Africa Data Science Platform Market Analysis
    13.1    Saudi Arabia
        13.1.1    Historical Trend (2018-2023)
        13.1.2    Forecast Trend (2024-2032)
    13.2    United Arab Emirates
        13.2.1    Historical Trend (2018-2023)
        13.2.2    Forecast Trend (2024-2032)
    13.3    Nigeria
        13.3.1    Historical Trend (2018-2023)
        13.3.2    Forecast Trend (2024-2032)
    13.4    South Africa
        13.4.1    Historical Trend (2018-2023)
        13.4.2    Forecast Trend (2024-2032)
    13.5    Others
14    Market Dynamics
    14.1    SWOT Analysis
        14.1.1    Strengths
        14.1.2    Weaknesses
        14.1.3    Opportunities
        14.1.4    Threats
    14.2    Porter’s Five Forces Analysis
        14.2.1    Supplier’s Power
        14.2.2    Buyer’s Power
        14.2.3    Threat of New Entrants
        14.2.4    Degree of Rivalry
        14.2.5    Threat of Substitutes
15    Competitive Landscape
    15.1    Market Structure
    15.2    Company Profiles
        15.2.1    IBM Corporation
            15.2.1.1    Company Overview
            15.2.1.2    Product Portfolio
            15.2.1.3    Demographic Reach and Achievements
            15.2.1.4    Certifications
        15.2.2    Alphabet Inc.
            15.2.2.1    Company Overview
            15.2.2.2    Product Portfolio
            15.2.2.3    Demographic Reach and Achievements
            15.2.2.4    Certifications
        15.2.3    Microsoft Corporation
            15.2.3.1    Company Overview
            15.2.3.2    Product Portfolio
            15.2.3.3    Demographic Reach and Achievements
            15.2.3.4    Certifications
        15.2.4    The MathWorks, Inc. 
            15.2.4.1    Company Overview
            15.2.4.2    Product Portfolio
            15.2.4.3    Demographic Reach and Achievements
            15.2.4.4    Certifications
        15.2.5    SAS Institute Inc. 
            15.2.5.1    Company Overview
            15.2.5.2    Product Portfolio
            15.2.5.3    Demographic Reach and Achievements
            15.2.5.4    Certifications
        15.2.6    Cloudera, Inc
            15.2.6.1    Company Overview
            15.2.6.2    Product Portfolio
            15.2.6.3    Demographic Reach and Achievements
            15.2.6.4    Certifications
        15.2.7    Cloud Software Group, Inc.
            15.2.7.1    Company Overview
            15.2.7.2    Product Portfolio
            15.2.7.3    Demographic Reach and Achievements
            15.2.7.4    Certifications
        15.2.8    Alteryx, Inc.
            15.2.8.1    Company Overview
            15.2.8.2    Product Portfolio
            15.2.8.3    Demographic Reach and Achievements
            15.2.8.4    Certifications
        15.2.9    Dataiku Inc.
            15.2.9.1    Company Overview
            15.2.9.2    Product Portfolio
            15.2.9.3    Demographic Reach and Achievements
            15.2.9.4    Certifications
        15.2.10    TIBCO Software Inc
            15.2.10.1    Company Overview
            15.2.10.2    Product Portfolio
            15.2.10.3    Demographic Reach and Achievements
            15.2.10.4    Certifications
        15.2.11    Others
16    Key Trends and Developments in the Market


List of Key Figures and Tables

1.    Global Data Science Platform Market: Key Industry Highlights, 2018 and 2032
2.    Global Data Science Platform Historical Market: Breakup by Component (USD Billion), 2018-2023
3.    Global Data Science Platform Market Forecast: Breakup by Component (USD Billion), 2024-2032
4.    Global Data Science Platform Historical Market: Breakup by Deployment (USD Billion), 2018-2023
5.    Global Data Science Platform Market Forecast: Breakup by Deployment (USD Billion), 2024-2032
6.    Global Data Science Platform Historical Market: Breakup by Organisation Size (USD Billion), 2018-2023
7.    Global Data Science Platform Market Forecast: Breakup by Organisation Size (USD Billion), 2024-2032
8.    Global Data Science Platform Historical Market: Breakup by Industry (USD Billion), 2018-2023
9.    Global Data Science Platform Market Forecast: Breakup by Industry (USD Billion), 2024-2032
10.    Global Data Science Platform Historical Market: Breakup by Region (USD Billion), 2018-2023
11.    Global Data Science Platform Market Forecast: Breakup by Region (USD Billion), 2024-2032
12.    North America Data Science Platform Historical Market: Breakup by Country (USD Billion), 2018-2023
13.    North America Data Science Platform Market Forecast: Breakup by Country (USD Billion), 2024-2032
14.    Europe Data Science Platform Historical Market: Breakup by Country (USD Billion), 2018-2023
15.    Europe Data Science Platform Market Forecast: Breakup by Country (USD Billion), 2024-2032
16.    Asia Pacific Data Science Platform Historical Market: Breakup by Country (USD Billion), 2018-2023
17.    Asia Pacific Data Science Platform Market Forecast: Breakup by Country (USD Billion), 2024-2032
18.    Latin America Data Science Platform Historical Market: Breakup by Country (USD Billion), 2018-2023
19.    Latin America Data Science Platform Market Forecast: Breakup by Country (USD Billion), 2024-2032
20.    Middle East and Africa Data Science Platform Historical Market: Breakup by Country (USD Billion), 2018-2023
21.    Middle East and Africa Data Science Platform Market Forecast: Breakup by Country (USD Billion), 2024-2032
22.    Global Data Science Platform Market Structure

Key Questions Answered in the Report

What was the data science platform market value in 2023?

In 2023, the market reached an approximate value of USD 155.41 billion.

What is the growth rate of the market?

The market for data science platform is estimated to grow at a CAGR of 20.4% between 2024 and 2032.

What is the data science platform market forecast for 2024-2032?

The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach a value of around USD 859.79 billion by 2032.

What are the major market drivers?

The market is being driven by the heightened generation of large data sets globally and the growing adoption of analytical tools by the healthcare sector.

What are the key data science platform market trends?

The key trends aiding the market expansion include the rapid advancements in Natural Language Processing (NLP) and the rising emphasis on the creation of high-quality data visualisation effects for product marketing by brands.

What are the major regional markets for data science platforms, according to the EMR report?

The major regions in the market are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.

In what types of organisations are data science platforms used?

Data science platforms are used by small and medium enterprises and large enterprises.

Who are the key market players, according to the data science platform market report?

The major players in the market are IBM Corporation, Alphabet Inc., Microsoft Corporation, The MathWorks, Inc., SAS Institute Inc., Cloudera, Inc, Cloud Software Group, Inc., Alteryx, Inc., Dataiku Inc., and TIBCO Software Inc, among others.

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Why Expert Market Research?

Right People

We are technically excellent, strategic, practical, experienced and efficient; our analysts are hand-picked based on having the right attributes to work successfully and execute projects based on your expectations.

Right Methodology

We leverage our cutting-edge technology, our access to trusted databases, and our knowledge of the current models used in the market to deliver you research solutions that are tailored to your needs and put you ahead of the curve.

Right Price

We deliver in-depth and superior quality research in prices that are reasonable, unmatchable, and shows our understanding of your resource structure. We, additionally, offer attractive discounts on our upcoming reports.

Right Support

Our team of expert analysts are at your beck and call to deliver you optimum results that are customised to meet your precise needs within the specified timeframe and help you form a better understanding of the industry.

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