The report highlights the current impact of COVID-19 on the Predictive and Prescriptive Analytics Market along with the latest economic scenario and changing dynamics of the market. It analyzes the impact of the pandemic on market growth and remuneration. The pandemic has changed the economic scenario of the world and has affected several sectors of the market. The report estimates the market for Predictive and Prescriptive Analytics Market according to the impact of COVID-19.
The global predictive and prescriptive analytics market is forecast to reach a market size of USD 64.58 Billion by 2028, and register a significantly high CAGR, according to latest analysis by Emergen Research. Revenue growth of the global predictive and prescriptive analytics market is expected to increase significantly during the forecast period due to increasing demand for data-driven decision-making solutions.
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It also offers valuable data to assist the investors in formulating strategic business investment plans and capitalize on the emerging growth prospects in the Predictive and Prescriptive Analytics Market . Our team of analysts has conducted an assessment of the historical Predictive and Prescriptive Analytics Market trends, estimated growth rate, revenue generation, production capacity, pricing structure, and numerous other vital aspects of the market, including key Wireless Charging market drivers, opportunities, challenges, and restraints.
Main players in the market include Microsoft Corporation, Oracle Corporation, International Business Machines Corporation, SAP SE, SAS Institute Inc., Salesforce.com, Inc., Qliktech Inc., Tableau Software, Inc., TIBCO Software Inc., and Pegasystems Inc.
Covid impact analysis:
The study on the Global Predictive and Prescriptive Analytics Market is the latest report covering the impact analysis of the currently ongoing COVID-19 pandemic. The pandemic has directly affected the market by causing disruptions in the global supply chains and indirectly by inducing financial difficulties. . The Predictive and Prescriptive Analytics Market has witnessed dynamic changes in trends and demands owing to the ongoing COVID-19 pandemic.
Major Geographies Encompassed in the Report:
- North America (U.S., Canada)
- Europe (U.K., Italy, Germany, France, Rest of EU)
- Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
- Latin America (Chile, Brazil, Argentina, Rest of Latin America)
- Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
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Emergen Research has segmented the global predictive and prescriptive analytics market on the basis of type, deployment, application, end-use, and region.
Type Outlook (Revenue, USD Billion; 2021–2028)
Customer relationship management
Deployment Outlook (Revenue, USD Billion; 2021–2028)
Application Outlook (Revenue, USD Billion; 2021–2028)
Sales & marketing
End-use Outlook (Revenue, USD Billion; 2021–2028)
Objectives of the Global Predictive and Prescriptive Analytics Market Study:
- An in-depth study of the evolving market sectors and the growth & penetration status of the global Predictive and Prescriptive Analytics Market
- COVID-19 Impact Analysis to highlight the major opportunities and challenges
- Strategic recommendations to help readers formulate lucrative business strategies
- Identification of the emerging players and their tactical approaches to expand market presence
- An extensive study of the product portfolios of the major market players and their regional presence
- A closer look at the strategic initiatives undertaken by the leading companies across this industry, including mergers & acquisitions, collaborations, partnerships, and joint ventures
Global Predictive and Prescriptive Analytics Market Report – Table of Contents:
Chapter 1. Predictive and Prescriptive Analytics Market Definition and Scope
Chapter 2. Predictive and Prescriptive Analytics Market Executive Summary
Chapter 3. Predictive and Prescriptive Analytics Market Research Methodology
Chapter 4. Predictive and Prescriptive Analytics Market Market Dynamics
Chapter 5. Regional Analysis
Chapter 6. Product Segmentation
Chapter 7. Application Spectrum
Chapter 8. End-user Landscape
Chapter 9. Competitive Landscape
Chapter 10. Append