Data Science and Predictive Analytics - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB512243923

Publication Date:

December 3, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
The global market for Data Science and Predictive Analytics was estimated to be worth US$ 3612 million in 2023 and is forecast to a readjusted size of US$ 10850 million by 2030 with a CAGR of 19.0% during the forecast period 2024-2030
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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data Science and Predictive Analytics, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Data Science and Predictive Analytics by region & country, by Type, and by Application.
The Data Science and Predictive Analytics market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Science and Predictive Analytics.
Market Segmentation
By Company
Salesforce
Teradata Corporation
SAS Institute
SAP
Oracle
BioSymetrics
Cyclica
IBM Corporation
Microsoft Corporation
Segment by Type:
Data Analysis
Scheme Customization
Segment by Application
Market Development
Business Summary
Future Forecast
Others
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Data Science and Predictive Analytics manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Data Science and Predictive Analytics in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Data Science and Predictive Analytics in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

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
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 & Opportunity
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 (2023)
2.2 Global Data Science and Predictive Analytics Revenue by Company (2019-2024)
2.3 Key Companies Data Science and Predictive Analytics Manufacturing Base Distribution and Headquarters
2.4 Key Companies Data Science and Predictive Analytics Product Offered
2.5 Key Companies Time to Begin Mass Production of 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 (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Data Science and Predictive Analytics Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data Science and Predictive Analytics as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Data Analysis
3.1.2 Scheme Customization
3.2 Global Data Science and Predictive Analytics Sales Value by Type
3.2.1 Global Data Science and Predictive Analytics Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Data Science and Predictive Analytics Sales Value, by Type (2019-2030)
3.2.3 Global Data Science and Predictive Analytics Sales Value, by Type (%) (2019-2030)
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 (2019 VS 2023 VS 2030)
4.2.2 Global Data Science and Predictive Analytics Sales Value, by Application (2019-2030)
4.2.3 Global Data Science and Predictive Analytics Sales Value, by Application (%) (2019-2030)
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: 2019 VS 2023 VS 2030
5.1.2 Global Data Science and Predictive Analytics Sales Value by Region (2019-2024)
5.1.3 Global Data Science and Predictive Analytics Sales Value by Region (2025-2030)
5.1.4 Global Data Science and Predictive Analytics Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Data Science and Predictive Analytics Sales Value, 2019-2030
5.2.2 North America Data Science and Predictive Analytics Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Data Science and Predictive Analytics Sales Value, 2019-2030
5.3.2 Europe Data Science and Predictive Analytics Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Data Science and Predictive Analytics Sales Value, 2019-2030
5.4.2 Asia Pacific Data Science and Predictive Analytics Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Data Science and Predictive Analytics Sales Value, 2019-2030
5.5.2 South America Data Science and Predictive Analytics Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Data Science and Predictive Analytics Sales Value, 2019-2030
5.6.2 Middle East & Africa Data Science and Predictive Analytics Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Data Science and Predictive Analytics Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Data Science and Predictive Analytics Sales Value
6.3 United States
6.3.1 United States Data Science and Predictive Analytics Sales Value, 2019-2030
6.3.2 United States Data Science and Predictive Analytics Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Data Science and Predictive Analytics Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Data Science and Predictive Analytics Sales Value, 2019-2030
6.4.2 Europe Data Science and Predictive Analytics Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Data Science and Predictive Analytics Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Data Science and Predictive Analytics Sales Value, 2019-2030
6.5.2 China Data Science and Predictive Analytics Sales Value by Type (%), 2023 VS 2030
6.5.3 China Data Science and Predictive Analytics Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Data Science and Predictive Analytics Sales Value, 2019-2030
6.6.2 Japan Data Science and Predictive Analytics Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Data Science and Predictive Analytics Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Data Science and Predictive Analytics Sales Value, 2019-2030
6.7.2 South Korea Data Science and Predictive Analytics Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Data Science and Predictive Analytics Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Data Science and Predictive Analytics Sales Value, 2019-2030
6.8.2 Southeast Asia Data Science and Predictive Analytics Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Data Science and Predictive Analytics Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Data Science and Predictive Analytics Sales Value, 2019-2030
6.9.2 India Data Science and Predictive Analytics Sales Value by Type (%), 2023 VS 2030
6.9.3 India Data Science and Predictive Analytics Sales Value by Application, 2023 VS 2030
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) & (2019-2024)
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) & (2019-2024)
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) & (2019-2024)
7.3.5 SAP 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) & (2019-2024)
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) & (2019-2024)
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) & (2019-2024)
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) & (2019-2024)
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) & (2019-2024)
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) & (2019-2024)
7.9.5 Microsoft Corporation Recent Developments
8 Industry Chain Analysis
8.1 Data Science and Predictive Analytics Industrial Chain
8.2 Data Science and Predictive Analytics Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Data Science and Predictive Analytics Sales Model
8.5.2 Sales Channel
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
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Salesforce
Teradata Corporation
SAS Institute
SAP
Oracle
BioSymetrics
Cyclica
IBM Corporation
Microsoft Corporation

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