Predictive Analytics Market by Deployment (Cloud, On-premise), by Enterprise Type (Large Enterprises, Small, Medium Enterprises (SMEs), by Application (Demand Forecasting, Financial Risk Forecasting, Pricing Personalization, Predictive Maintenance, Others), by End-user (BFSI, Automotive, Telecom/Media, Healthcare, Life Sciences, Retail, Energy & Utility, Government, Others), by By Deployment (Cloud, On-premise), by South America (Brazil, Argentina, Rest of South America), by Europe (U.K., Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by Middle East & Africa Turkey (Israel, GCC, North Africa, South Africa, Rest of the Middle East & Africa), by Asia Pacific (China, Japan, India, South Korea, ASEAN, Oceania, Rest of Asia Pacific) Forecast 2024-2032
The Predictive Analytics Market size was valued at USD 14.71 USD Billion in 2023 and is projected to reach USD 63.01 USD Billion by 2032, exhibiting a CAGR of 23.1 % during the forecast period. The increasing adoption of predictive analytics solutions by various industry verticals to improve decision-making processes and gain competitive advantages is driving the market growth.Predictive analytics is the use of statistics and modelling techniques to forecast future outcomes. Current and historical data patterns are examined and plotted to determine the likelihood that those patterns will repeat. Businesses use predictive analytics to fine-tune their operations and decide whether new products are worth the investment. Investors use predictive analytics to decide where to put their money. Internet retailers use predictive analytics to fine-tune purchase recommendations to their users and increase sales. As a branch of data science for business, the growth of predictive and augmented analytics coincides with that of big data systems, where larger, broader pools of data enable increased data mining activities to provide predictive insights.
Deployment:
Enterprise Type:
Application:
End-user:
The predictive analytics market is expected to witness significant growth due to the increasing demand for data-driven decision making and the adoption of advanced technologies. Key players are focusing on developing innovative solutions to cater to specific industry needs and address emerging trends.
Aspects | Details |
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Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 23.1% from 2018-2032 |
Segmentation |
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Aspects | Details |
---|---|
Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 23.1% from 2018-2032 |
Segmentation |
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Note* : In applicable scenarios
Primary Research
Secondary Research
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During the analysis stage, feedback from the stakeholder groups would be compared to determine areas of agreement as well as areas of divergence
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