Data Science And Predictive Analytics Market Global Report 2026

The data science and predictive analytics market size has grown exponentially in recent years. It will grow from $22.02 billion in 2025 to $27.42 billion in 2026 at a compound annual growth rate (CAGR) of 24.5%. The growth in the historic period can be attributed to increasing volumes of structured and unstructured data, expanding adoption of machine learning algorithms, rising demand for data-driven decision-making, growing use of predictive analytics for risk management, and expanding cloud-based analytics platforms.

The data science and predictive analytics market size is expected to see exponential growth in the next few years. It will grow to $65.04 billion in 2030 at a compound annual growth rate (CAGR) of 24.1%. The growth in the forecast period can be attributed to rising demand for real-time business intelligence, increasing adoption of automated predictive modeling, growing need for proactive fraud and risk detection, expanding predictive maintenance applications, and increasing demand for personalized customer analytics. Major trends in the forecast period include real-time predictive analytics, automated data preparation, explainable analytics models, predictive decision support systems, and real-time anomaly detection.

The explosion in enterprise data generation is expected to propel the growth of the data science and predictive analytics market going forward. Enterprise data generation refers to the rapid growth in the volume of structured and unstructured data produced by organizations through business operations, connected devices, applications, cloud platforms, and digital interactions. Enterprise data generation is increasing due to the widespread adoption of digital transformation initiatives, which allow businesses to digitize operations, automate processes, and use connected technologies that produce substantial amounts of structured and unstructured data. The explosion in enterprise data generation is driving the adoption of data science and predictive analytics by allowing organizations to utilize vast datasets to generate advanced insights, improve forecasting accuracy, automate decision-making, and enhance operational efficiency. For instance, in May 2025, according to Rivery Technologies Ltd., a US-based data integration and analytics company, global data was projected to reach approximately 181 zettabytes (ZB), driven by the growing adoption of artificial intelligence, Internet of Things (IoT) devices, social media, and cloud computing. Therefore, the explosion in enterprise data generation is driving the growth of the data science and predictive analytics market.

Key companies operating in the data science and predictive analytics market are focusing on developing innovative analytics solutions, such as integrated healthcare analytics applications, to accelerate research, improve data-driven decision-making, and support complex healthcare and life sciences use cases. Integrated healthcare analytics applications are specialized software applications that combine advanced analytics, artificial intelligence, predictive modeling, and research workflows to analyze healthcare data and generate actionable insights within secure and governed environments. For example, in September 2026, BC Platforms, a Switzerland-based healthcare data and technology company, launched the BC Mosaic App Store, a certified ecosystem of specialized analytical and research applications integrated within its BC Mosaic trusted research environment. The platform enables healthcare and life sciences research teams to discover and access certified applications supporting healthcare research, precision medicine, clinical development, post-approval research, and real-world evidence. The applications available through the platform support imaging and pathology analysis, genomics, clinical trial design and optimization, patient journey analytics, predictive modeling, digital biomarkers, patient engagement, and data harmonization. By bringing integrated analytics, advanced artificial intelligence models, and high-performance workflow applications into a secure and governed environment, the platform helps researchers apply specialized tools to complex scientific and analytical questions while improving access to trusted analytical capabilities.

In July 2026, SAP SE, a Germany-based software corporation, acquired Prior Labs for an undisclosed amount. Through this acquisition, SAP aims to strengthen its structured data artificial intelligence capabilities by integrating Prior Labs’ tabular foundation model technology and research expertise to accelerate predictive artificial intelligence applications across enterprise business processes. Prior Labs GmbH is a Germany-based artificial intelligence company specializing in predictive analytics and machine learning for structured data through its tabular foundation models.

Major companies operating in the data science and predictive analytics market are Alphabet Inc, Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, Databricks Inc, Cloudera Inc, Snowflake Inc, Palantir Technologies Inc, SAS Institute Inc, Fair Isaac Corporation, Teradata Corporation, The MathWorks Inc, Qlik Technologies Inc, DataRobot Inc, C3.ai Inc, Dataiku Inc, H2O.ai Inc, Domino Data Lab Inc, MicroStrategy Incorporated, KNIME AG.

North America was the dominant region in the data science and predictive analytics market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the data science and predictive analytics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the data science and predictive analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The data science and predictive analytics market includes revenue earned by entities by providing services such as predictive analytics and forecasting services, data science services, predictive modeling services, data visualization and business intelligence services, and analytics consulting services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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