AI In Life Science Analytics Market Report 2026

AI In Life Science Analytics Market Overview

• AI In Life Science Analytics market size has reached to $2.63 billion in 2025 • Expected to grow to $6.16 billion in 2030 at a compound annual growth rate (CAGR) of 18.4% • Growth Driver: The Rise In Healthcare Expenditure Driving The Growth Of The AI In Life Science Analytics Market Due To Increasing Prevalence Of Chronic And Lifestyle-Related Diseases • Market Trend: Innovative AI Platforms Transform Multi-Omics Research And Precision Medicine • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under AI In Life Science Analytics Market?

Artificial Intelligence in life sciences analytics refers to the technology that is used for the analysis of data and for turning unstructured data into actionable insights and information. It is used in conducting clinical trials, enables new drug discoveries, and diagnoses of diseases more precisely and accurately. The main components of AI in the life sciences analytics market software, hardware, and services. Software refers to applications, scripts, data, programs, or sets of instructions that help in operating computers and executing specific tasks on a computer and are used for data management, quality management, sales enablement, drug discovery, and others in the life science sector. They are deployed on-premises, and cloud in various applications including research and development, sales and marketing support, supply chain analytics, and others. They are used by various end users including medical devices, pharmaceutical, biotechnology, and others

What Is The AI In Life Science Analytics Market Growth Forecast?

The AI in life science analytics market size is expected to see rapid growth in the next few years. It will grow to $6.16 billion in 2030 at a compound annual growth rate (CAGR) of 18.4%. The growth in the forecast period can be attributed to increasing demand for precision diagnostics, rising investments in ai-enabled drug development, expansion of cloud analytics adoption, growing use of real-world evidence analytics, increasing focus on operational efficiency in life sciences. Major trends in the forecast period include increasing deployment of ai-based clinical analytics tools, rising use of predictive modeling in drug discovery, growing adoption of cloud-based life science analytics, expansion of real-time data integration platforms, enhanced focus on actionable insight generation.

Global AI In Life Science Analytics Market Segmentation

1) By Component: Software, Hardware, Services 2) By Deployment: On-Premise, Cloud 3) By Application: Research And Development, Sales And Marketing Support, Supply Chain Analytics, Other Applications 4) By End-User: Medical Devices, Pharmaceutical, Biotechnology, Other End Users Subsegments: 1) By Software: Data Analysis Software, Predictive Analytics Tools, Machine Learning Platforms, Visualization Software, Clinical Trial Management Software 2) By Hardware: Servers, Storage Solutions, Workstations, Networking Equipment 3) By Services: Consulting Services, Integration Services, Support And Maintenance, Data Management Services, Training Services

What Is The Driver Of The AI In Life Science Analytics Market?

The rising healthcare expenditure is expected to propel the growth of the g AI in the life science analytics market going forward. Healthcare expenditure refers to the total amount of money spent on healthcare goods and services within a specific period, encompassing various costs related to medical treatment and public health initiatives. Rising healthcare expenditure is due to the growing prevalence of chronic and lifestyle-related diseases, which require long-term treatment, ongoing medical care, and costly interventions. Healthcare expenditure drives the adoption of AI in life science analytics by funding advanced data-driven tools that improve research efficiency, patient outcomes, and cost-effective healthcare solutions. For instance, in May 2024, according to the Office of National Statistics, a UK-based government agency, total healthcare expenditure increased by 5.6% in nominal terms between 2022 and 2023, compared with growth of 0.9% in 2022. Therefore, rising healthcare expenditure is driving the growth of AI in the life science analytics market.

Key Players In The Global AI In Life Science Analytics Market

Major companies operating in the AI in life science analytics market are Indegene Limited; International Business Machines Corporation; IQVIA Holdings Inc.; Databricks Inc.; SAS Institute Inc.; Sorcero; Atomwise Inc.; Microsoft Corporation; NVIDIA Corporation; Oracle Corporation; NuMedii Inc.; Enlitic Inc.; Apixio Inc.; AiCure LLC; Google LLC; Amazon Web Services Inc.; Accenture; BioSymetrics; Cloud Pharmaceuticals; Freenome; GNS Healthcare; Insilico Medicine; PathAI; Recursion Pharmaceuticals; Sophia Genetics; Veracyte Inc.; Lexalytics Inc.; Sisense Inc.; Cognitivescale; Ayasdi; Cyrcadia Health

Global AI In Life Science Analytics Market Trends and Insights

Major companies operating in the AI in Life Science Analytics market are focusing on developing innovative solutions, such as AI empowered multi omics data analysis platforms, to accelerate insights and precision in biomedical research. An AI-empowered multi-omics data analysis platform is a technology that uses artificial intelligence to integrate and analyze diverse biological data types such as genomics, proteomics, and metabolomics to uncover complex biological insights and support precision medicine. For instance, in October 2023, BioLizard, a Belgium-based biotechnology company, launched a new AI-empowered BioVerse platform to facilitate data-driven R&D for the global life sciences community. The platform is designed to provide tailored, user-friendly software solutions for data-driven results, targeted towards scientists in biotech and pharma, with or without IT backgrounds. The platform includes three applications, such as Bio|Reflect, which provides global overviews of publications to support unbiased literature searches; Pro|Biome, which applies data analytics to microbiome analysis; and Bio|Mx, which leverages AI to integrate and analyze multi-omics datasets. The goal of BioVerse is to facilitate data-driven discovery and preclinical, translational, and clinical R&D processes in the life sciences industry by implementing AI-driven solutions. This launch demonstrates BioLizard's commitment to providing AI-driven solutions to support data-driven discovery and preclinical, translational, and clinical R&D processes in the life sciences industry.

What Are Latest Mergers And Acquisitions In The AI In Life Science Analytics Market?

In February 2023, Envision Pharma Group (Envision), a US-based technology company, acquired OKRA.AI for an undisclosed amount. Through this acquisition, Envision strengthens its technological capabilities that provide clients with access to advanced AI to accelerate decision-making that improves their products' path and supports the delivery of enhanced patient outcomes. OKRA.AI is a UK-based technology company active in the provision of artificial intelligence (AI) solutions with expertise in commercialization, real-world evidence and data analytics, and medical, and pricing for the pharmaceutical and life sciences sector.

Regional Insights

North America was the largest region in the AI in life science analytics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the AI in life science analytics market report during the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

What Defines the AI In Life Science Analytics Market?

The AI in the life science analytics market includes revenues earned by entities by providing predictive analytics, prescriptive analytics, and cognitive analytics services. The market value includes the value of related goods sold by the service provider or included within the service offering. AI in the life science analytics market also includes sales of target identification, target validation, and clinical decision support hardware. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the AI In Life Science Analytics Market Report 2026?

The ai in life science analytics market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the ai in life science analytics industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.