Data Science And Machine Learning Platforms Market Global Report 2026

The data science and machine learning platforms market size has grown exponentially in recent years. It will grow from $151.95 billion in 2025 to $184.14 billion in 2026 at a compound annual growth rate (CAGR) of 21.2%. The growth in the historic period can be attributed to rising enterprise data generation, expanding adoption of cloud computing, increasing demand for predictive analytics, growing use of machine learning applications, and increasing need for data-driven decision-making.

The data science and machine learning platforms market size is expected to see exponential growth in the next few years. It will grow to $391.52 billion in 2030 at a compound annual growth rate (CAGR) of 20.8%. The growth in the forecast period can be attributed to rising adoption of automated machine learning, increasing demand for real-time analytics, growing deployment of generative artificial intelligence applications, increasing focus on artificial intelligence model governance, and expanding enterprise artificial intelligence use cases. Major trends in the forecast period include greater adoption of automated machine learning, machine learning operations and model lifecycle management, low-code and no-code data science platforms, real-time machine learning model monitoring, and collaborative data science workflows.

The growing demand for data-driven decision-making is expected to propel the growth of the data science and machine learning platforms market going forward. Data-driven decision-making refers to the process of using data analysis, statistical insights, and predictive models to support strategic planning and operational decisions. The growing demand for data-driven decision-making is driven by increasing volumes of structured and unstructured data, which require advanced analytics and machine learning platforms to extract actionable insights and support informed business decisions. The growing demand for data-driven decision-making is driving the adoption of data science and machine learning platforms by enabling organizations to analyze vast datasets, uncover actionable insights, and build predictive models for faster and more accurate business decisions. For instance, in January 2025, Sigma Computing, a US-based cloud analytics software company, reported that 76% of surveyed professionals said their companies are somewhat to very data driven. Therefore, the growing demand for data-driven decision-making is driving the growth of the data science and machine learning platforms market.

Leading companies operating in the data science and machine learning platforms market are focusing on developing innovative solutions, such as artificial intelligence-powered scientific workflow platforms, to improve scientific data capture, workflow observability, reproducibility, process optimization, and automation. Artificial intelligence-powered scientific workflow platforms are artificial intelligence-enabled systems that combine integrated sensors, multimodal machine learning models, equipment telemetry, environmental information, and operator activity data to capture real-world scientific execution and convert it into machine-readable knowledge. For example, in August 2026, Transfyr Bio Inc., a US-based artificial intelligence and life science technology company, launched a physical artificial intelligence platform for science with $25 million in seed funding. The platform uses integrated sensor systems and multimodal models trained on real-world scientific execution to passively capture operator actions, intent, environmental context, equipment telemetry, and supply chain dynamics. The platform converts these inputs into interpretable and transferable records that can identify process variability, support root-cause analysis, optimize laboratory protocols, and generate training and technology-transfer procedures. It also incorporates active reinforcement-learning loops to enable artificial intelligence systems to learn new protocols and environments, supporting the development of robotic-level instructions for scientific workflows.

In April 2026, Anaconda Inc., a US-based provider of Python, data science, and artificial intelligence development solutions, acquired Outerbounds Inc. for an undisclosed amount. Through this acquisition, Anaconda aims to establish a unified platform covering the entire artificial intelligence-native development lifecycle, connect artificial intelligence development with production deployment, integrate Outerbounds’ workflow orchestration, artifact tracking, governed deployment, and observability capabilities with Anaconda’s trusted open-source packages, models, and computing infrastructure, strengthen enterprise artificial intelligence governance and security, improve the reproducibility and reliability of artificial intelligence workflows, and allow developers to transition artificial intelligence applications from experimentation to production without changing their existing tools or infrastructure. Outerbounds Inc. is a US-based artificial intelligence and machine learning software company specializing in a data science and machine learning platform built on Metaflow, supporting workflow orchestration, experiment tracking, scalable computing, and deployment of artificial intelligence and machine learning applications.

Major companies operating in the data science and machine learning platforms market are Alphabet Inc, Microsoft Corporation, NVIDIA Corporation, Amazon.com Inc, International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce Inc, Hewlett Packard Enterprise Company, Databricks Inc, Snowflake Inc, SAS Institute Inc, Teradata Corporation, The MathWorks Inc, DataRobot Inc, C3.ai Inc, Dataiku Inc, H2O.ai Inc, Anaconda Inc, Domino Data Lab Inc, KNIME AG.

North America was the dominant region in the data science and machine learning platforms 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 machine learning platforms 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 machine learning platforms market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The data science and machine learning platforms market include revenue earned by entities by providing services such as data preparation and integration services, model monitoring, optimization, lifecycle management services, training, technical support, and managed platform 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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