Global Predictive and Prescriptive Analytics Industry Research Report, Growth Trends and Competitive Analysis 2024-2034
Published on: 2024-01-04 | No of Pages : 400 | Industry : Latest Trends
Publisher : MRA | Format : PDF
Global Predictive and Prescriptive Analytics Industry Research Report, Growth Trends and Competitive Analysis 2024-2034
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.
Due to the COVID-19 pandemic, the global Predictive and Prescriptive Analytics market size was US$ 7024.4 million in 2023 and is forecast to a readjusted size of US$ 16810 million by 2033 with a CAGR of 12.8% during the forecast period 2023-2033. Fully considering the economic change by this health crisis, Software accounting for % of the Predictive and Prescriptive Analytics global market in 2023, is projected to value US$ million by 2033, growing at a revised % CAGR from 2023 to 2033. While Defense and aerospace sector segment is altered to an % CAGR throughout this forecast period.
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.
The United States Predictive and Prescriptive Analytics market size was US$ million in 2023, while China size was US$ million. The proportion of the United States was % in 2023, while China percentage was %, and it is predicted that China share will reach % in 2033, trailing a CAGR of % through the analysis period. As for the Europe Predictive and Prescriptive Analytics landscape, Germany is projected to reach US$ million by 2033. and in Asia, the notable markets are Japan and South Korea, CAGR is % and % respectively for the next 6-year period.
The market research report offered here is a very useful resource that can help manufacturers, stakeholders, decision-makers, and other market participants to become familiar with every factor impacting the growth of the global Predictive and Prescriptive Analytics market. The analysts authoring the report have closely studied key strategies adopted by top players of the global Predictive and Prescriptive Analytics market. The report includes SWOT, and other market analyses to provide a clear and deep understanding of important aspects of the global Predictive and Prescriptive Analytics market. Readers of the report can become informed about current and future trends of the global Predictive and Prescriptive Analytics market and how they will impact market growth during the forecast period.
Salesforce
SAS Institute
IBM
SAP AG
Oracle
Angoss Software
Teradata
Microsoft
Accenture
Segment by Type
Software
Service
Defense and aerospace sector
Intelligence organization
Agriculture
Retail sector
Educational organizations
Healthcare
Transportation and logistics
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Indonesia
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter 1Introduces 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.
Chapter 2Revenue of Predictive and Prescriptive Analytics in global and regional level.
Chapter 3Detailed analysis of Predictive and Prescriptive Analytics companies' competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4Provides 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 5Provides 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 6North America (US & Canada) by type, by application and by country, revenue for each segment.
Chapter 7Europe by type, by application and by country, revenue for each segment.
Chapter 8Asia Pacific by type, by application and by region, revenue for each segment.
Chapter 9Latin America by type, by application and by country, revenue for each segment.
Chapter 10Middle East and Africa, by type, by application and by country, revenue for each segment.
Chapter 11Provides 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 12Introduces 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 13Research Findings and Conclusion
Due to the COVID-19 pandemic, the global Predictive and Prescriptive Analytics market size was US$ 7024.4 million in 2023 and is forecast to a readjusted size of US$ 16810 million by 2033 with a CAGR of 12.8% during the forecast period 2023-2033. Fully considering the economic change by this health crisis, Software accounting for % of the Predictive and Prescriptive Analytics global market in 2023, is projected to value US$ million by 2033, growing at a revised % CAGR from 2023 to 2033. While Defense and aerospace sector segment is altered to an % CAGR throughout this forecast period.
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.
The United States Predictive and Prescriptive Analytics market size was US$ million in 2023, while China size was US$ million. The proportion of the United States was % in 2023, while China percentage was %, and it is predicted that China share will reach % in 2033, trailing a CAGR of % through the analysis period. As for the Europe Predictive and Prescriptive Analytics landscape, Germany is projected to reach US$ million by 2033. and in Asia, the notable markets are Japan and South Korea, CAGR is % and % respectively for the next 6-year period.
The market research report offered here is a very useful resource that can help manufacturers, stakeholders, decision-makers, and other market participants to become familiar with every factor impacting the growth of the global Predictive and Prescriptive Analytics market. The analysts authoring the report have closely studied key strategies adopted by top players of the global Predictive and Prescriptive Analytics market. The report includes SWOT, and other market analyses to provide a clear and deep understanding of important aspects of the global Predictive and Prescriptive Analytics market. Readers of the report can become informed about current and future trends of the global Predictive and Prescriptive Analytics market and how they will impact market growth during the forecast period.
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
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Indonesia
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1Introduces 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.
Chapter 2Revenue of Predictive and Prescriptive Analytics in global and regional level.
Chapter 3Detailed analysis of Predictive and Prescriptive Analytics companies' competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4Provides 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 5Provides 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 6North America (US & Canada) by type, by application and by country, revenue for each segment.
Chapter 7Europe by type, by application and by country, revenue for each segment.
Chapter 8Asia Pacific by type, by application and by region, revenue for each segment.
Chapter 9Latin America by type, by application and by country, revenue for each segment.
Chapter 10Middle East and Africa, by type, by application and by country, revenue for each segment.
Chapter 11Provides 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 12Introduces 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 13Research Findings and Conclusion