Predictive analytics is the use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. The global predictive analytics market size is expected to reach USD 91.34 Billion in 2032 and is expected to register steady revenue CAGR of 21.6% during the forecast period according to the latest analysis by Emergen Research. The global predictive analytics market is expected to grow at a significant rate over the forecast period, driven by increasing adoption of predictive analytics in various industries such as healthcare, banking, and retail, rising demand for real-time analytics, and the availability of advanced analytics tools and platforms.
One of the major drivers of the predictive analytics market is the increasing adoption of predictive analytics in various industries such as healthcare, banking, and retail. Predictive analytics is used in healthcare to identify high-risk patients and develop targeted interventions to prevent chronic diseases. In banking, predictive analytics is used to identify fraudulent activities and reduce financial losses. In retail, predictive analytics is used to forecast demand, optimize pricing, and personalize customer experiences.
The rising demand for real-time analytics is also expected to drive market growth. Real-time analytics provides instant insights into data and enables organizations to make informed decisions quickly. This is particularly important in industries such as finance and healthcare, where real-time insights can make a significant difference in patient outcomes and financial performance.
The report is formulated with the updated and latest information of the global Predictive Analytics market further validated and verified by the industry experts and professionals. The Global Predictive Analytics Market report contains historical, current, and forecast estimation of the revenue generation and profits for each segment and sub-segment of the Predictive Analytics market in each key region of the world. The report additionally sheds light on the emerging growth opportunities in the business sphere that are anticipated to bolster the growth of the market.
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Competitive Terrain:
The global Predictive Analytics industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.
The leading market contenders listed in the report are:
ALTERYX, INC., Fico, IBM, KNIME, Microsoft Corporation, Oracle Corporation, SAP, SAS Institute INC., B M Corporation, and TABLEAU SOFTWARE, LLC
Key market aspects studied in the report:
Market Scope: The report explains the scope of various commercial possibilities in the global Predictive Analytics market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.
Competitive Outlook: The leading companies operating in the Predictive Analytics market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.
Report Objective: The primary objective of this report is to provide the manufacturers, distributors, suppliers, and buyers engaged in this sector with access to a deeper and improved understanding of the global Predictive Analytics market.
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Market Segmentations of the Predictive Analytics Market
This market is segmented based on Types, Applications, and Regions. The growth of each segment provides accurate forecasts related to production and sales by Types and Applications, in terms of volume and value for the period between 2022 and 2030. This analysis can help readers looking to expand their business by targeting emerging and niche markets. Market share data is given on both global and regional levels. Regions covered in the report are North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. Research analysts assess the market positions of the leading competitors and provide competitive analysis for each company. For this study, this report segments the global Predictive Analytics market on the basis of product, application, and region:
Segments Covered in this report are:
-
Component Outlook (Revenue, USD Billion; 2019-2032)
- Solution
- Financial Analytics
- Risk Analytics
- Marketing Analytics
- Sales Analytics
- Customer Analytics
- Web and Social Media Analytics
- Supply Chain Analytics
- Network Analytics
- Services
- Professional Service
- Consulting
- Development and Integration
- Support and Maintenance
- Managed Services
- Professional Service
- Solution
-
Verticals Outlook (Revenue, USD Billion; 2019-2032)
- BFSI
- Manufacturing
- Retail and e-commerce
- Government and Defense
- Healthcare and Life Sciences
- Energy and Utilities
- Telecommunication and IT
- Transportation and Logistics
- Media and Entertainment
- Travel and Hospitality
- Other Verticals
-
Deployment Mode Outlook (Revenue, USD Billion; 2019-2032)
- Cloud
- On-premises
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Major Geographies Analyzed 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)
ToC of the report:
Chapter 1: Market overview and scope
Chapter 2: Market outlook
Chapter 3: Impact analysis of COVID-19 pandemic
Chapter 4: Competitive Landscape
Chapter 5: Drivers, Constraints, Opportunities, Limitations
Chapter 6: Key manufacturers of the industry
Chapter 7: Regional analysis
Chapter 8: Market segmentation based on type applications
Chapter 9: Current and Future Trends
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