Industry: Service & Software
Published Date: 2026-06-16
Pages: 105 Pages
Report ld: 6768971
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Data Science and Predictive Analytics Market Size(US$)

CAGR 2026-2032
19.0%
Market Size,2032
USD 17,420
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global market for Data Science and Predictive Analytics was estimated to be worth US$ 5240 million in 2025 and is projected to reach US$ 17420 million, growing at a CAGR of 19.0% from 2026 to 2032.
Data Science is the study of various types of data such as structured, semi-structured and unstructured data in any form or formats available in order to get some information out of it.Predictive analytics is an area within Statistical Sciences where the existing information will be extracted and processed to predict the trends and outcomes pattern. The core of the subject lies in the analysis of existing context to predict an unknown event.
Data Science is the study of various types of data such as structured, semi-structured and unstructured data in any form or formats available in order to get some information out of it.Predictive analytics is an area within Statistical Sciences where the existing information will be extracted and processed to predict the trends and outcomes pattern. The core of the subject lies in the analysis of existing context to predict an unknown event.
This report provides a comprehensive view of the global market for Data Science and Predictive Analytics, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.
The Data Science and Predictive Analytics market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding Data Science and Predictive Analytics.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the Data Science and Predictive Analytics companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents Data Science and Predictive Analytics revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents Data Science and Predictive Analytics revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Market Overview
1.1 Data Science and Predictive Analytics Product Introduction
1.2 Global Data Science and Predictive Analytics Market Size Forecast (2021–2032)
1.3 Data Science and Predictive Analytics Market Trends & Drivers
1.3.1 Data Science and Predictive Analytics Industry Trends
1.3.2 Data Science and Predictive Analytics Market Drivers & Opportunities
1.3.3 Data Science and Predictive Analytics Market Challenges
1.3.4 Data Science and Predictive Analytics Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Data Science and Predictive Analytics Players Revenue Ranking (2025)
2.2 Global Data Science and Predictive Analytics Revenue by Company (2021–2026)
2.3 Key Companies’ R&D and Operations Footprint and Headquarters
2.4 Key Companies Data Science and Predictive Analytics Product Offerings
2.5 Key Companies General Availability (GA) Timeline for Data Science and Predictive Analytics
2.6 Data Science and Predictive Analytics Market Competitive Analysis
2.6.1 Data Science and Predictive Analytics Market Concentration Rate (2021–2026)
2.6.2 Top 5 and Top 10 Global Companies by Data Science and Predictive Analytics Revenue in 2025
2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on Data Science and Predictive Analytics revenue, 2025
2.7 Mergers & Acquisitions and Expansion
3 Segmentation Data Science and Predictive Analytics Market Classification
3.1 Introduction by Type
3.1.1 Data Analysis
3.1.2 Scheme Customization
3.1.3 Global Data Science and Predictive Analytics Sales Value by Type
3.1.3.1 Global Data Science and Predictive Analytics Sales Value by Type (2021 vs 2025 vs 2032)
3.1.3.2 Global Data Science and Predictive Analytics Sales Value, by Type (2021–2032)
3.1.3.3 Global Data Science and Predictive Analytics Sales Value, by Type (%), 2021–2032
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Market Development
4.1.2 Business Summary
4.1.3 Future Forecast
4.1.4 Others
4.2 Global Data Science and Predictive Analytics Sales Value by Application
4.2.1 Global Data Science and Predictive Analytics Sales Value by Application (2021 vs 2025 vs 2032)
4.2.2 Global Data Science and Predictive Analytics Sales Value by Application (2021–2032)
4.2.3 Global Data Science and Predictive Analytics Sales Value by Application (%), 2021–2032
5 Segmentation by Region
5.1 Global Data Science and Predictive Analytics Sales Value by Region
5.1.1 Global Data Science and Predictive Analytics Sales Value by Region: 2021 vs 2025 vs 2032
5.1.2 Global Data Science and Predictive Analytics Sales Value by Region (2021–2026)
5.1.3 Global Data Science and Predictive Analytics Sales Value by Region (2027–2032)
5.1.4 Global Data Science and Predictive Analytics Sales Value by Region (%), 2021–2032
5.2 North America
5.2.1 North America Data Science and Predictive Analytics Sales Value, 2021–2032
5.2.2 North America Data Science and Predictive Analytics Sales Value by Country (%), 2025 vs 2032
5.3 Europe
5.3.1 Europe Data Science and Predictive Analytics Sales Value, 2021–2032
5.3.2 Europe Data Science and Predictive Analytics Sales Value by Country (%), 2025 vs 2032
5.4 Asia Pacific
5.4.1 Asia Pacific Data Science and Predictive Analytics Sales Value, 2021–2032
5.4.2 Asia Pacific Data Science and Predictive Analytics Sales Value by Subregion (%), 2025 vs 2032
5.5 South America
5.5.1 South America Data Science and Predictive Analytics Sales Value, 2021–2032
5.5.2 South America Data Science and Predictive Analytics Sales Value by Country (%), 2025 vs 2032
5.6 Middle East & Africa
5.6.1 Middle East & Africa Data Science and Predictive Analytics Sales Value, 2021–2032
5.6.2 Middle East & Africa Data Science and Predictive Analytics Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Data Science and Predictive Analytics Sales Value Growth Trends, 2021 vs 2025 vs 2032
6.2 Key Countries/Regions Data Science and Predictive Analytics Sales Value, 2021–2032
6.3 United States
6.3.1 United States Data Science and Predictive Analytics Sales Value, 2021–2032
6.3.2 United States Data Science and Predictive Analytics Sales Value by Type (%), 2025 vs 2032
6.3.3 United States Data Science and Predictive Analytics Sales Value by Application, 2025 vs 2032
6.4 Europe
6.4.1 Europe Data Science and Predictive Analytics Sales Value, 2021–2032
6.4.2 Europe Data Science and Predictive Analytics Sales Value by Type (%), 2025 vs 2032
6.4.3 Europe Data Science and Predictive Analytics Sales Value by Application, 2025 vs 2032
6.5 China
6.5.1 China Data Science and Predictive Analytics Sales Value, 2021–2032
6.5.2 China Data Science and Predictive Analytics Sales Value by Type (%), 2025 vs 2032
6.5.3 China Data Science and Predictive Analytics Sales Value by Application, 2025 vs 2032
6.6 Japan
6.6.1 Japan Data Science and Predictive Analytics Sales Value, 2021–2032
6.6.2 Japan Data Science and Predictive Analytics Sales Value by Type (%), 2025 vs 2032
6.6.3 Japan Data Science and Predictive Analytics Sales Value by Application, 2025 vs 2032
6.7 South Korea
6.7.1 South Korea Data Science and Predictive Analytics Sales Value, 2021–2032
6.7.2 South Korea Data Science and Predictive Analytics Sales Value by Type (%), 2025 vs 2032
6.7.3 South Korea Data Science and Predictive Analytics Sales Value by Application, 2025 vs 2032
6.8 Southeast Asia
6.8.1 Southeast Asia Data Science and Predictive Analytics Sales Value, 2021–2032
6.8.2 Southeast Asia Data Science and Predictive Analytics Sales Value by Type (%), 2025 vs 2032
6.8.3 Southeast Asia Data Science and Predictive Analytics Sales Value by Application, 2025 vs 2032
6.9 India
6.9.1 India Data Science and Predictive Analytics Sales Value, 2021–2032
6.9.2 India Data Science and Predictive Analytics Sales Value by Type (%), 2025 vs 2032
6.9.3 India Data Science and Predictive Analytics Sales Value by Application, 2025 vs 2032
7 Company Profiles
7.1 Salesforce
7.1.1 Salesforce Profile
7.1.2 Salesforce Main Business
7.1.3 Salesforce Data Science and Predictive Analytics Products, Services, and Solutions
7.1.4 Salesforce Data Science and Predictive Analytics Revenue (US$ Million), 2021–2026
7.1.5 Salesforce Recent Developments
7.2 Teradata Corporation
7.2.1 Teradata Corporation Profile
7.2.2 Teradata Corporation Main Business
7.2.3 Teradata Corporation Data Science and Predictive Analytics Products, Services, and Solutions
7.2.4 Teradata Corporation Data Science and Predictive Analytics Revenue (US$ Million), 2021–2026
7.2.5 Teradata Corporation Recent Developments
7.3 SAS Institute
7.3.1 SAS Institute Profile
7.3.2 SAS Institute Main Business
7.3.3 SAS Institute Data Science and Predictive Analytics Products, Services, and Solutions
7.3.4 SAS Institute Data Science and Predictive Analytics Revenue (US$ Million), 2021–2026
7.3.5 SAS Institute Recent Developments
7.4 SAP
7.4.1 SAP Profile
7.4.2 SAP Main Business
7.4.3 SAP Data Science and Predictive Analytics Products, Services, and Solutions
7.4.4 SAP Data Science and Predictive Analytics Revenue (US$ Million), 2021–2026
7.4.5 SAP Recent Developments
7.5 Oracle
7.5.1 Oracle Profile
7.5.2 Oracle Main Business
7.5.3 Oracle Data Science and Predictive Analytics Products, Services, and Solutions
7.5.4 Oracle Data Science and Predictive Analytics Revenue (US$ Million), 2021–2026
7.5.5 Oracle Recent Developments
7.6 BioSymetrics
7.6.1 BioSymetrics Profile
7.6.2 BioSymetrics Main Business
7.6.3 BioSymetrics Data Science and Predictive Analytics Products, Services, and Solutions
7.6.4 BioSymetrics Data Science and Predictive Analytics Revenue (US$ Million), 2021–2026
7.6.5 BioSymetrics Recent Developments
7.7 Cyclica
7.7.1 Cyclica Profile
7.7.2 Cyclica Main Business
7.7.3 Cyclica Data Science and Predictive Analytics Products, Services, and Solutions
7.7.4 Cyclica Data Science and Predictive Analytics Revenue (US$ Million), 2021–2026
7.7.5 Cyclica Recent Developments
7.8 IBM Corporation
7.8.1 IBM Corporation Profile
7.8.2 IBM Corporation Main Business
7.8.3 IBM Corporation Data Science and Predictive Analytics Products, Services, and Solutions
7.8.4 IBM Corporation Data Science and Predictive Analytics Revenue (US$ Million), 2021–2026
7.8.5 IBM Corporation Recent Developments
7.9 Microsoft Corporation
7.9.1 Microsoft Corporation Profile
7.9.2 Microsoft Corporation Main Business
7.9.3 Microsoft Corporation Data Science and Predictive Analytics Products, Services, and Solutions
7.9.4 Microsoft Corporation Data Science and Predictive Analytics Revenue (US$ Million), 2021–2026
7.9.5 Microsoft Corporation Recent Developments
8 Industry Chain Analysis
8.1 Data Science and Predictive Analytics Value Chain
8.2 Data Science and Predictive Analytics Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Key Suppliers of Raw Materials
8.2.3 Cost Structure
8.3 Midstream Analysis
8.4 Downstream (Customer) Analysis
8.5 Sales Model and Sales Channelss
8.5.1 Data Science and Predictive Analytics Sales Model
8.5.2 Sales Channels
8.5.3 Data Science and Predictive Analytics Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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