United States- Global Predictive and Prescriptive Analytics Market Analysis Focus on Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges and Investment Opportunities) Size, Share and Outlook Analysis and Forecast, 2023-2030. This report offers an in-depth analysis of the global Predictive and Prescriptive Analytics Market, with a particular emphasis on high-growth applications in each vertical and rapidly expanding market segment. It presents a detailed competitive landscape, identifying the key players in each market type, along with an exhaustive market share analysis that covers individual revenue, market shares, and rankings of top players.
By 2030, the Predictive and Prescriptive Analytics Market is projected to have grown at a CAGR of 24.2%, reaching a value of USD 54.24 billion. The rising usage of big data and artificial intelligence (AI) technologies, the growing desire for tailored consumer experiences, and the growing need to better decision-making are the main drivers of market development. Both predictive analytics and prescriptive analytics utilize data to forecast future occurrences and suggest actions that should be taken. Utilizing past data, predictive analytics may spot patterns and trends that can be utilized to forecast future results. By outlining specific steps that may be done to enhance those results, prescriptive analytics goes one step farther than traditional analytics.
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The Key companies profiled in the Predictive and Prescriptive Analytics Market:
The study examines the Predictive and Prescriptive Analytics Market’s competitive landscape and includes data on Salesforce, SAS Institute, IBM, SAP AG, Oracle, Angoss Software, Teradata, Microsoft, Accenture & Others.
Global Predictive and Prescriptive Analytics Market Split by Product Type and Applications
This report segments the Predictive and Prescriptive Analytics Market on the basis of Types:
Software
Service
On the basis of Application, the Predictive and Prescriptive Analytics Market is segmented into:
Defense and aerospace sector
Intelligence organization
Agriculture
Retail sector
Educational organizations
Healthcare
Transportation and logistics
In recent years, the Predictive and Prescriptive Analytics Market has grown dramatically, solidifying itself as an essential part of the data analytics ecosystem. Its beginnings can be linked to enterprises’ increasing need to glean useful information from massive volumes of data. The groundwork was created by predictive analytics, which foresees future patterns based on past data. Prescriptive analytics evolved when companies attempted to be more pro-active in their decision-making, delivering not just forecasts but also suggestions on how to best achieve those predictions. The development of this industry was hastened by developments in big data, artificial intelligence, and machine learning technologies, which allowed businesses to fully utilize their data for operational efficiency, risk reduction, and strategic planning.
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The Predictive and Prescriptive Analytics Market has seen a number of significant advances recently. The incorporation of AI and machine learning into analytics platforms, which allows for more precise forecasts and advanced prescriptive suggestions, is one important development. Additionally, cloud-based analytics programs have become popular, giving businesses of all sizes scalability and accessibility. New opportunities for real-time data analysis and decision-making have emerged as a result of the convergence of analytics with other technologies, such as the IoT (Internet of Things). Additionally, an increased emphasis on ethics and explainability in analytics has resulted in the creation of transparent AI algorithms that address issues with bias and accountability.
With geographical variances driven by technology infrastructure, industrial sectors, and regulatory contexts, the predictive and prescriptive analytics market is present on a worldwide scale. Predictive and prescriptive analytics solutions have been adopted and innovated at a rapid rate in North America, which is home to innovation centres like Silicon Valley. Compliance-driven analytics tools have steadily increased in popularity in Europe due to the region’s strong emphasis on data protection and regulation. The need for analytics in sectors including banking, healthcare, and manufacturing has increased dramatically in the Asia-Pacific region as a result of the world’s most rapid digital transformation. Predictive and prescriptive analytics are becoming more and more valued in emerging economies in Latin America and Africa for resource optimization and growth. These regional trends demonstrate how predictive and prescriptive analytics are applicable globally and flexible across a range of industries.
Reasons Why You Should Buy This Report:
1.To gain an in-depth understanding of Market
2.To obtain research-based business decisions and add weight to presentations and marketing strategies
3.To gain competitive knowledge of leading market players
4.It gives pin point investigation of changing rivalry elements and keeps you in front of contenders.
5.It helps in settling on educated business choices by having total bits of knowledge of market and by making inside and out investigation of market sections.
Major Points from Table of Contents:
Chapter 1: Report Overview
Chapter 2: Global Predictive and Prescriptive Analytics Market Trends and Growth Strategy
Chapter 3: Global Predictive and Prescriptive Analytics Market Players Profiles
Chapter 4: Global Predictive and Prescriptive Analytics Market Competition by market Players
Chapter 5: Global Predictive and Prescriptive Analytics Market Production by Regions (2016-2023)
Chapter 6: Global Predictive and Prescriptive Analytics Market Consumption by Region (2016-2023)
Chapter 7: Global Predictive and Prescriptive Analytics Market Production Forecast by Regions (2023-2030)
Chapter 8: Global Predictive and Prescriptive Analytics Market Consumption Forecast by Regions (2023-2030)
Chapter 9: Global Predictive and Prescriptive Analytics Market Sales by Type (2016-2030)
Chapter 10: Global Predictive and Prescriptive Analytics Market Consumption by Application (2016-2030)
Chapter 11: Global Predictive and Prescriptive Analytics Market Manufacturing Cost Analysis
Chapter 12: Global Predictive and Prescriptive Analytics Market marketing Channel, Distributors, Customers and Supply Chain
Chapter 13: Analyst’s Viewpoints/Conclusions
Chapter 14: Disclaimer…
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