Global Data Science and Predictive Analytics Market 2025 by Company, Regions, Type and Application, Forecast to 2031
Description
According to our (Global Info Research) latest study, the global Data Science and Predictive Analytics market size was valued at US$ 4604 million in 2024 and is forecast to a readjusted size of USD 14970 million by 2031 with a CAGR of 18.6% during review period.
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 is a detailed and comprehensive analysis for global Data Science and Predictive Analytics market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Data Science and Predictive Analytics market size and forecasts, in consumption value ($ Million), 2020-2031
Global Data Science and Predictive Analytics market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Data Science and Predictive Analytics market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Data Science and Predictive Analytics market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Data Science and Predictive Analytics
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Data Science and Predictive Analytics market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Salesforce, Teradata Corporation, SAS Institute, SAP, Oracle, BioSymetrics, Cyclica, IBM Corporation, Microsoft Corporation, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Data Science and Predictive Analytics market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Data Analysis
Scheme Customization
Market segment by Application
Market Development
Business Summary
Future Forecast
Others
Market segment by players, this report covers
Salesforce
Teradata Corporation
SAS Institute
SAP
Oracle
BioSymetrics
Cyclica
IBM Corporation
Microsoft Corporation
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Data Science and Predictive Analytics product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Data Science and Predictive Analytics, with revenue, gross margin, and global market share of Data Science and Predictive Analytics from 2020 to 2025.
Chapter 3, the Data Science and Predictive Analytics competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Data Science and Predictive Analytics market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Data Science and Predictive Analytics.
Chapter 13, to describe Data Science and Predictive Analytics research findings and conclusion.
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 is a detailed and comprehensive analysis for global Data Science and Predictive Analytics market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Data Science and Predictive Analytics market size and forecasts, in consumption value ($ Million), 2020-2031
Global Data Science and Predictive Analytics market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Data Science and Predictive Analytics market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Data Science and Predictive Analytics market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Data Science and Predictive Analytics
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Data Science and Predictive Analytics market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Salesforce, Teradata Corporation, SAS Institute, SAP, Oracle, BioSymetrics, Cyclica, IBM Corporation, Microsoft Corporation, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Data Science and Predictive Analytics market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Data Analysis
Scheme Customization
Market segment by Application
Market Development
Business Summary
Future Forecast
Others
Market segment by players, this report covers
Salesforce
Teradata Corporation
SAS Institute
SAP
Oracle
BioSymetrics
Cyclica
IBM Corporation
Microsoft Corporation
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Data Science and Predictive Analytics product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Data Science and Predictive Analytics, with revenue, gross margin, and global market share of Data Science and Predictive Analytics from 2020 to 2025.
Chapter 3, the Data Science and Predictive Analytics competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Data Science and Predictive Analytics market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Data Science and Predictive Analytics.
Chapter 13, to describe Data Science and Predictive Analytics research findings and conclusion.
Table of Contents
96 Pages
- 1 Market Overview
- 2 Company Profiles
- 3 Market Competition, by Players
- 4 Market Size Segment by Type
- 5 Market Size Segment by Application
- 6 North America
- 7 Europe
- 8 Asia-Pacific
- 9 South America
- 10 Middle East & Africa
- 11 Market Dynamics
- 12 Industry Chain Analysis
- 13 Research Findings and Conclusion
- 14 Appendix
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