Big data explosion has rapidly become a pivotal tool for the business intelligence sector. This powerful data stream is building the momentum and magnitude for the predictive and prescriptive analytics market. This platform helps swiftness of diverse data, combining with big data, and utilizing better models and business outcomes of leading healthcare organizations. It improves quick-decision, profits, measures social media influence and tries to avert scams and frauds, through the application of advanced analytics and decision optimization.
Âé¶¹Ô´´ Analysis and Insights: Global Predictive and Prescriptive Analytics Âé¶¹Ô´´
The global Predictive and Prescriptive Analytics market is projected to grow from US$ 8159.1 million in 2024 to US$ 16810 million by 2030, at a Compound Annual Growth Rate (CAGR) of 12.8% during the forecast period.
The US & Canada market for Predictive and Prescriptive Analytics is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The China market for Predictive and Prescriptive Analytics is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The Europe market for Predictive and Prescriptive Analytics is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The global key companies of Predictive and Prescriptive Analytics include Salesforce, SAS Institute, IBM, SAP AG, Oracle, Angoss Software, Teradata, Microsoft and Accenture, etc. In 2023, the global top five players had a share approximately % in terms of revenue.
Predictive and Prescriptive Analytics is widely used in various fields, such as Defense and aerospace sector, Intelligence organization, Agriculture and Retail sector, etc. Defense and aerospace sector provides greatest supports to the Predictive and Prescriptive Analytics industry development. In 2023, global % revenue of Predictive and Prescriptive Analytics went into Defense and aerospace sector filed and the proportion will reach to % in 2030.
Report Covers:
This report presents an overview of global market for Predictive and Prescriptive Analytics market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Predictive and Prescriptive Analytics, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Predictive and Prescriptive Analytics, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Predictive and Prescriptive Analytics revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Predictive and Prescriptive Analytics market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Predictive and Prescriptive Analytics revenue, projected growth trends, production technology, application and end-user industry.
Âé¶¹Ô´´ Segmentation
By Company
Salesforce
SAS Institute
IBM
SAP AG
Oracle
Angoss Software
Teradata
Microsoft
Accenture
Segment by Type
Software
Service
Segment by Application
Defense and aerospace sector
Intelligence organization
Agriculture
Retail sector
Educational organizations
Healthcare
Transportation and logistics
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Predictive and Prescriptive Analytics in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Predictive and Prescriptive Analytics companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Predictive and Prescriptive Analytics revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Âé¶¹Ô´´ Analysis by Type
1.2.1 Global Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Software
1.2.3 Service
1.3 Âé¶¹Ô´´ by Application
1.3.1 Global Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Defense and aerospace sector
1.3.3 Intelligence organization
1.3.4 Agriculture
1.3.5 Retail sector
1.3.6 Educational organizations
1.3.7 Healthcare
1.3.8 Transportation and logistics
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Predictive and Prescriptive Analytics Âé¶¹Ô´´ Perspective (2019-2030)
2.2 Global Predictive and Prescriptive Analytics Growth Trends by Region
2.2.1 Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Region: 2019 VS 2023 VS 2030
2.2.2 Predictive and Prescriptive Analytics Historic Âé¶¹Ô´´ Size by Region (2019-2024)
2.2.3 Predictive and Prescriptive Analytics Forecasted Âé¶¹Ô´´ Size by Region (2025-2030)
2.3 Predictive and Prescriptive Analytics Âé¶¹Ô´´ Dynamics
2.3.1 Predictive and Prescriptive Analytics Industry Trends
2.3.2 Predictive and Prescriptive Analytics Âé¶¹Ô´´ Drivers
2.3.3 Predictive and Prescriptive Analytics Âé¶¹Ô´´ Challenges
2.3.4 Predictive and Prescriptive Analytics Âé¶¹Ô´´ Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Predictive and Prescriptive Analytics by Players
3.1.1 Global Predictive and Prescriptive Analytics Revenue by Players (2019-2024)
3.1.2 Global Predictive and Prescriptive Analytics Revenue Âé¶¹Ô´´ Share by Players (2019-2024)
3.2 Global Predictive and Prescriptive Analytics Âé¶¹Ô´´ Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Predictive and Prescriptive Analytics, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Predictive and Prescriptive Analytics Âé¶¹Ô´´ Concentration Ratio
3.4.1 Global Predictive and Prescriptive Analytics Âé¶¹Ô´´ Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Predictive and Prescriptive Analytics Revenue in 2023
3.5 Global Key Players of Predictive and Prescriptive Analytics Head office and Area Served
3.6 Global Key Players of Predictive and Prescriptive Analytics, Product and Application
3.7 Global Key Players of Predictive and Prescriptive Analytics, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Predictive and Prescriptive Analytics Breakdown Data by Type
4.1 Global Predictive and Prescriptive Analytics Historic Âé¶¹Ô´´ Size by Type (2019-2024)
4.2 Global Predictive and Prescriptive Analytics Forecasted Âé¶¹Ô´´ Size by Type (2025-2030)
5 Predictive and Prescriptive Analytics Breakdown Data by Application
5.1 Global Predictive and Prescriptive Analytics Historic Âé¶¹Ô´´ Size by Application (2019-2024)
5.2 Global Predictive and Prescriptive Analytics Forecasted Âé¶¹Ô´´ Size by Application (2025-2030)
6 North America
6.1 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size (2019-2030)
6.2 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type
6.2.1 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type (2019-2024)
6.2.2 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type (2025-2030)
6.2.3 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Share by Type (2019-2030)
6.3 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application
6.3.1 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application (2019-2024)
6.3.2 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application (2025-2030)
6.3.3 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Share by Application (2019-2030)
6.4 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Country
6.4.1 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Country (2019-2024)
6.4.3 North America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size (2019-2030)
7.2 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type
7.2.1 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type (2019-2024)
7.2.2 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type (2025-2030)
7.2.3 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Share by Type (2019-2030)
7.3 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application
7.3.1 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application (2019-2024)
7.3.2 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application (2025-2030)
7.3.3 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Share by Application (2019-2030)
7.4 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Country
7.4.1 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Country (2019-2024)
7.4.3 Europe Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size (2019-2030)
8.2 China Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type
8.2.1 China Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type (2019-2024)
8.2.2 China Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type (2025-2030)
8.2.3 China Predictive and Prescriptive Analytics Âé¶¹Ô´´ Share by Type (2019-2030)
8.3 China Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application
8.3.1 China Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application (2019-2024)
8.3.2 China Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application (2025-2030)
8.3.3 China Predictive and Prescriptive Analytics Âé¶¹Ô´´ Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size (2019-2030)
9.2 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type
9.2.1 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type (2019-2024)
9.2.2 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type (2025-2030)
9.2.3 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Share by Type (2019-2030)
9.3 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application
9.3.1 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application (2019-2024)
9.3.2 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application (2025-2030)
9.3.3 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Share by Application (2019-2030)
9.4 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Region
9.4.1 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Region (2019-2024)
9.4.3 Asia Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size (2019-2030)
10.2 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type
10.2.1 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application
10.3.1 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Country
10.4.1 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Predictive and Prescriptive Analytics Âé¶¹Ô´´ Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Salesforce
11.1.1 Salesforce Company Details
11.1.2 Salesforce Business Overview
11.1.3 Salesforce Predictive and Prescriptive Analytics Introduction
11.1.4 Salesforce Revenue in Predictive and Prescriptive Analytics Business (2019-2024)
11.1.5 Salesforce Recent Developments
11.2 SAS Institute
11.2.1 SAS Institute Company Details
11.2.2 SAS Institute Business Overview
11.2.3 SAS Institute Predictive and Prescriptive Analytics Introduction
11.2.4 SAS Institute Revenue in Predictive and Prescriptive Analytics Business (2019-2024)
11.2.5 SAS Institute Recent Developments
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM Predictive and Prescriptive Analytics Introduction
11.3.4 IBM Revenue in Predictive and Prescriptive Analytics Business (2019-2024)
11.3.5 IBM Recent Developments
11.4 SAP AG
11.4.1 SAP AG Company Details
11.4.2 SAP AG Business Overview
11.4.3 SAP AG Predictive and Prescriptive Analytics Introduction
11.4.4 SAP AG Revenue in Predictive and Prescriptive Analytics Business (2019-2024)
11.4.5 SAP AG Recent Developments
11.5 Oracle
11.5.1 Oracle Company Details
11.5.2 Oracle Business Overview
11.5.3 Oracle Predictive and Prescriptive Analytics Introduction
11.5.4 Oracle Revenue in Predictive and Prescriptive Analytics Business (2019-2024)
11.5.5 Oracle Recent Developments
11.6 Angoss Software
11.6.1 Angoss Software Company Details
11.6.2 Angoss Software Business Overview
11.6.3 Angoss Software Predictive and Prescriptive Analytics Introduction
11.6.4 Angoss Software Revenue in Predictive and Prescriptive Analytics Business (2019-2024)
11.6.5 Angoss Software Recent Developments
11.7 Teradata
11.7.1 Teradata Company Details
11.7.2 Teradata Business Overview
11.7.3 Teradata Predictive and Prescriptive Analytics Introduction
11.7.4 Teradata Revenue in Predictive and Prescriptive Analytics Business (2019-2024)
11.7.5 Teradata Recent Developments
11.8 Microsoft
11.8.1 Microsoft Company Details
11.8.2 Microsoft Business Overview
11.8.3 Microsoft Predictive and Prescriptive Analytics Introduction
11.8.4 Microsoft Revenue in Predictive and Prescriptive Analytics Business (2019-2024)
11.8.5 Microsoft Recent Developments
11.9 Accenture
11.9.1 Accenture Company Details
11.9.2 Accenture Business Overview
11.9.3 Accenture Predictive and Prescriptive Analytics Introduction
11.9.4 Accenture Revenue in Predictive and Prescriptive Analytics Business (2019-2024)
11.9.5 Accenture Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Salesforce
SAS Institute
IBM
SAP AG
Oracle
Angoss Software
Teradata
Microsoft
Accenture
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*If Applicable.