Global Predictive Analytics Market Size, Trends, Opportunities Worth USD 91.34 Billion in 2032

The integrated predictive analytics market is a rapidly growing industry that is poised to revolutionize how businesses make decisions. Predictive analytics involves using data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. The integrated predictive analytics market combines this predictive analysis with other technologies such as artificial intelligence and the Internet of Things (IoT) to provide businesses with a comprehensive understanding of their 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. Rising demand for AI-driven predictive learning is driving revenue growth of the market.

One of the key drivers of the integrated predictive analytics market is the increasing availability of data. With the rise of the Internet of Things, there is a vast amount of data being generated by connected devices. This data can be used to improve decision-making in a variety of industries, including healthcare, finance, and retail. Additionally, the growth of cloud computing has made it easier for businesses to store and process large amounts of data, further fueling the demand for predictive analytics.

In terms of growth factors, one of the key drivers of the integrated predictive analytics market is the increasing demand for personalized experiences. Businesses are looking for ways to better understand their customers and provide them with more personalized products and services. Predictive analytics can help businesses achieve this goal by analyzing customer data to identify patterns and preferences.

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Major Companies and Competitive Landscape:

The predictive analytics market is a highly competitive industry with a large number of players. The market is dominated by a few major companies, but there are also many smaller players offering specialized solutions. Some of the major players in the predictive analytics market include ALTERYX, INC., Fico, IBM, KNIME, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute INC., B M Corporation, and TABLEAU SOFTWARE, LLC.

IBM Corporation is one of the leading players in the predictive analytics market. The company's predictive analytics software, IBM SPSS Modeler, is widely used in industries such as healthcare, finance, and retail. The software uses advanced algorithms and machine learning techniques to analyze data and make predictions about future outcomes.
Microsoft Corporation is another major player in the predictive analytics market. The company's Azure Machine Learning platform provides businesses with a suite of tools for building predictive models. The platform uses a variety of algorithms, including deep learning and neural networks, to analyze data and make predictions.

SAP SE is a German multinational software company that offers a wide range of enterprise software solutions, including predictive analytics software. The company's predictive analytics software, SAP Predictive Analytics, uses machine learning and artificial intelligence to analyze data and make predictions about future outcomes.

Oracle Corporation is another major player in the predictive analytics market. The company's predictive analytics software, Oracle Data Mining, uses machine learning and statistical algorithms to analyze data and make predictions. The software is widely used in industries such as finance, healthcare, and retail.

SAS Institute Inc. is a privately held company that offers a wide range of software solutions, including predictive analytics software. The company's predictive analytics software, SAS Predictive Analytics, uses advanced analytics and machine learning techniques to analyze data and make predictions about future outcomes.

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Segmentation Insights for Predictive Analytics Market Report:

The global predictive analytics market has been segmented by Emergen Research based on component, vertical, deployment mode, organization size, and region. The component outlook includes solution and services. The solution segment has further been divided into financial analytics, risk analytics, marketing analytics, sales analytics, customer analytics, web and social media analytics, supply chain analytics, and network analytics. On the other hand, the services segment has been sub-segmented into professional services, consulting, development and integration, support and maintenance, and managed services. The verticals outlook covers several sectors, including 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, and other verticals. The deployment mode outlook comprises cloud and on-premises. Lastly, the organization size outlook includes large enterprises and small and medium-sized enterprises (SMEs).

In terms of solutions, financial analytics, risk analytics, and marketing analytics are among the most popular segments in the predictive analytics market. These solutions are widely adopted by several industries, including BFSI, healthcare and life sciences, and retail and e-commerce. The services segment has also gained significant traction, particularly professional services and managed services. These services provide organizations with the necessary expertise to implement predictive analytics solutions and maintain them.

The verticals outlook highlights the broad range of industries that are adopting predictive analytics solutions. BFSI, manufacturing, and retail and e-commerce are among the leading adopters of predictive analytics solutions. However, other sectors such as government and defense, healthcare and life sciences, and transportation and logistics are also expected to witness significant growth in the coming years.

The deployment mode outlook includes cloud and on-premises solutions. Cloud-based solutions are gaining popularity due to their flexibility, scalability, and cost-effectiveness. On-premises solutions, on the other hand, are preferred by organizations that require complete control over their data and systems.

The report also provides a regional analysis of the market, with a focus on North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

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