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Data Science and Predictive Analytics Market Size and Forecast, by Component (Solutions, Services), Application (Financial Risk Analysis, Marketing & Sales Analysis, Customer Analysis, Supply Chain Analytics) - Growth Trends, Key Players, Regional Analysis 2026-2035

  • Report ID: 3448
  • Published Date: Nov 19, 2025
  • Report Format: PDF, PPT
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Data Science and Predictive Analytics Market Outlook:

Data Science and Predictive Analytics Market size was over USD 25.24 billion in 2025 and is anticipated to cross USD 141.34 billion by 2035, growing at more than 18.8% CAGR during the forecast period i.e., between 2026-2035. In the year 2026, the industry size of data science and predictive analytics is estimated at USD 29.51 billion.

Data Science and Predictive Analytics Market
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The continuous improvement in global internet connectivity and countless technical developments, among other things, have greatly accelerated economic growth during the past two decades. There were more than 4.5 billion persons actively utilizing the Internet as of April 2021 across the globe.

Additionally, the ICT sector's creation of goods and services boosts economic growth and development. According to data in the database of the United Nations Conference on Trade and Development, the worldwide exports of ICT goods increased from 10.816 % in 2015 to 11.536 % in 2019.

Key Data Science and Predictive Analytics Market Insights Summary:

  • Regional Insights:

    • North America is estimated to hold 35% revenue share by 2035, driven by high adoption of predictive analytics solutions and technological advancement in the US and Canada within the Data Science and Predictive Analytics Market.
    • Europe is projected to account for 28% share by 2035, impelled by the strong presence of major players and high adoption of data science and predictive analytics solutions in healthcare and life sciences.

  • Segment Insights:

    • Solution Sector is projected to account for 58% revenue share by 2035, propelled by comprehensive analytical solutions across customer, network, risk, finance, marketing, and supply chain domains in the Data Science and Predictive Analytics Market.
    • Customer Analytics is expected to hold 30% share by 2035, owing to the increasing adoption of predictive modelling and data visualisation to enhance customer lifetime value and business decision-making.

  • Key Growth Trends:

    • AI and IoT Technology Adoption
    • Big Data Technology Adoption

  • Major Challenges:

    • The Accuracy Depends on the Reference Data Used
    • Adoption of Predictive Analytics is Sluggish.

  • Key Players: Google LLC, Salesforce, Inc., Teradata Corporation, SAS Institute Inc., SAP India Private Limited, Oracle, BioSymetrics Inc, Cyclica Inc., IBM Corporation, Tesco PLC, Microsoft Corporation.

Global Data Science and Predictive Analytics Market Forecast and Regional Outlook:

  • Market Size & Growth Projections:

    • 2025 Market Size: USD 25.24 billion
    • 2026 Market Size: USD 29.51 billion
    • Projected Market Size: USD 141.34 billion by 2035
    • Growth Forecasts: 18.8%

  • Key Regional Dynamics:

    • Largest Region: North America (35% Share by 2035)
    • Fastest Growing Region: North America
    • Dominating Countries: United States, China, Germany, Japan, United Kingdom
    • Emerging Countries: India, South Korea, Brazil, Singapore, Australia

    • Last updated on : 19 November, 2025

Growth Drivers

  • AI and IoT Technology Adoption- Predictive analytics with AI is particularly effective since it uses current data and extracts enormous value from it. Advanced analytics enabled by AI can forecast what products or services target audiences will be interested in purchasing or consuming. The development of contemporary technology and its use propel the industry forward. IoT is also making it possible to capture a tonne of data for any sector. Multimedia and social media have generated a lot of data, and businesses are employing data science, predictive analytics, and technologies to analyse this vast amount of information to deliver more accurate outcomes for the future.
  • Big Data Technology Adoption- The capacity of big data technology and other emerging technologies to produce predicted outcomes has led to a significant expansion of the data science and predictive analytics business. The amount of data the organisation collects is really large and it is constantly growing. Now that businesses are aware of analytics methods, they are using this data to anticipate the future, which contributes to the growth of the data science and predictive analytics industries.  Furthermore, the demand for predictive analytics is growing as a result of the increased need to gather, process, and analyse huge amounts of data, both organised and unstructured.
  • Increasing Use of Linked and Integrated Technology and Increasing Internet Proliferation- A huge increase in data volumes was generated as a result of the proliferation of the Internet and the availability of different ways to access the Internet. High-speed internet services would advance and expand as a result of this. GlobaliZation and economic expansion are also major factors driving increased data generation globally. 

Challenges

  • The Accuracy Depends on the Reference Data Used- Future trends are predicted using data science and predictive analytics. Software processed the complicated and substantial amount of data to get the desired output. This method provides findings that are in the future using historical data. Results are generated using available data, and their correctness depends on how accurately the data is used as a reference. The analytical algorithms build models based on the available data, and deficiencies in the data lead to deficiencies in the model. This uncertainty and dependence may hamper the growth of the data science and predictive analytics market during the projected period.
  • Adoption of Predictive Analytics is Sluggish.
  • Time-Consuming Reconfiguration of Prediction Models Caused by Changing Regional Data Laws.

Data Science and Predictive Analytics Market Size and Forecast:

Report Attribute Details

Base Year

2025

Forecast Year

2026-2035

CAGR

18.8%

Base Year Market Size (2025)

USD 25.24 billion

Forecast Year Market Size (2035)

USD 141.34 billion

Regional Scope

  • North America (U.S., and Canada)
  • Asia Pacific (Japan, China, India, Indonesia, Malaysia, Australia, South Korea, Rest of Asia Pacific)
  • Europe (UK, Germany, France, Italy, Spain, Russia, NORDIC, Rest of Europe)
  • Latin America (Mexico, Argentina, Brazil, Rest of Latin America)
  • Middle East and Africa (Israel, GCC North Africa, South Africa, Rest of the Middle East and Africa)
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Data Science and Predictive Analytics Market Segmentation:

Component Segment Analysis

With a 58% revenue share during the anticipated period, the solution sector leads the data science and predictive analytics market growth. The market for data science and predictive analytics has a sizable section dedicated to the solution. Analytics pertaining to customers, networks, risks, finances, marketing, supply chains, online and social media, and other areas. This technology offers analytical answers for the whole of this category. These solutions are developed using data from an existing source, and after analysis, the customer receives a specific number to move on.

Application Segment Analysis

The customer analytics sector is expected to hold 30% share of the global data science and predictive analytics market in the near future. Customer intelligence is a systematic and sophisticated analytical method that businesses are increasingly using to analyse consumer behaviour. Businesses utilize this information to improve their total income creation and make critical business decisions. Additionally, customer analytics, which includes methods like predictive modelling and data visualisation, aids businesses in boosting customer lifetime value (CLV), winning over new clients, and keeping hold of current ones.

Our in-depth analysis of the global market includes the following segments:

          Component

  • Solution
  • Services

           Application

  • Financial Risk Analysis
  • Marketing & Sales Analysis
  • Customer Analysis
  • Supply Chain Analysis
Vishnu Nair
Vishnu Nair
Head - Global Business Development

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Data Science and Predictive Analytics Market - Regional Analysis

North American Market Insights

North America industry is estimated to dominate majority revenue share of 35% by 2035. In comparison to other areas, North America is predicted to have the greatest rate of adoption of predictive analytics solutions. The fact that several industrialized nations, like Canada and the US, are present in this region is the key factor influencing the rising adoption rate. It is an economically robust, technologically developed area. As a result, there is a high rate of adoption of cutting-edge technology, which contributes to the market expansion in the North American area. Additionally, during the anticipated period, the market for data science and predictive analytics would grow due to advancements in new developing technologies and R&D carried out by solution-providing firms in this area.

European Market Insights

The Europe data science and predictive analytics market is projected to be 28%. The main element influencing the market expansion in this area is the presence of significant major players and the high adoption rate of data science and predictive analytics solutions. In addition, this region's healthcare and life sciences industry is flourishing because of its robust economy, infrastructure, and R&D activities. The healthcare and life sciences industries produce a large amount of data. The use of digital technologies such as big data, and predictive analytics, which gather, process, and aid to sustain hospital performance, creates enormous amounts of information that are very difficult for older technologies to handle.

Data Science and Predictive Analytics Market Size
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Data Science and Predictive Analytics Market Players:

    • Google LLC
      • Company Overview
      • Business Strategy
      • Key Product Offerings
      • Financial Performance
      • Key Performance Indicators
      • Risk Analysis
      • Recent Development
      • Regional Presence
      • SWOT Analysis
    • Salesforce, Inc.
    • Teradata Corporation
    • SAS Institute Inc.
    • SAP India Private Limited
    • Oracle
    • BioSymetrics Inc
    • Cyclica Inc.
    • IBM Corporation
    • Tesco PLC
    • Microsoft Corporation

Recent Developments

  • SAS Institute Inc and North Carolina-based Cleveland Clinic have created innovative COVID-19 predictive models that help hospitals to forecast ventilator availability, bed capacity, patient volume, and more. The predive analytics model deliver timely, reliable information to the health departments, and hospitals to optimize healthcare delivery for COVID infected and other patients.
  • Teradata stated that Tesco PLC is expanding its cooperation with Teradata by incorporating Vantage into its data platform. Tesco may use Vantage to eliminate silos and query all their data in real time., regardless of whether it is in the cloud, multiple clouds, on-premises, or any mix thereof, to gain a comprehensive view of their business.
  • Report ID: 3448
  • Published Date: Nov 19, 2025
  • Report Format: PDF, PPT
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Frequently Asked Questions (FAQ)

In the year 2026, the industry size of data science and predictive analytics is estimated at USD 29.51 billion.

The global data science and predictive analytics market size was more than USD 25.24 billion in 2025 and is anticipated to grow at a CAGR of over 18.8%, reaching USD 141.34 billion revenue by 2035.

North America is estimated to hold 35% revenue share by 2035, driven by high adoption of predictive analytics solutions and technological advancement in the US and Canada within the Data Science and Predictive Analytics Market.

Key players in the market include Google LLC, Salesforce, Inc., Teradata Corporation, SAS Institute Inc., SAP India Private Limited, Oracle, BioSymetrics Inc, Cyclica Inc., IBM Corporation, Tesco PLC, Microsoft Corporation.

Data Science and Predictive Analytics Market Report Scope

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