AI in Life Science Analytics Market Outlook:
AI in Life Science Analytics Market size was valued at USD 2.36 billion in 2025 and is expected to reach USD 8.98 billion by 2035, registering around 14.3% CAGR during the forecast period i.e., between 2026-2035. In the year 2026, the industry size of AI in life science analytics is evaluated at USD 2.66 billion.

AI-driven analytics are booming the life science sector by offering accurate and reliable data interpretation which further aids in drug discovery and clinical trials. The integration of life science tools with natural language processing and automation is gaining traction across the world.
Cloud-based solutions are anticipated to exhibit high demand throughout the forecasted period and capture a revenue share of 55.5% through 2037. Cloud’s flexibility, cost-effectiveness, and scalability are the prime pointers driving their adoption among end users. Many cloud-based solutions offer access to several advanced AI tools and platforms that accelerate development in life science. Also, several modern cloud-based solutions are enabled with advanced security features and compliance certifications, which help life science organizations protect vital data and meet regulatory requirements. For instance, in 2023, Google Cloud revealed the launch of next-gen AI-powered life sciences solutions Target and Lead Identification Suite and Multiomics Suite. These solutions are aiding scientists in identifying the function of amino acids more effectively and in discovering and interpreting genomic data for personalized treatment.
Key AI in Life Science Analytics Market Insights Summary:
Regional Highlights:
- North America AI in life science analytics market will account for 44.50% share by 2035, driven by digital technology adoption in life science analytics and increased healthcare R&D.
- Asia Pacific market will capture a 28.50% share by 2035, driven by rising healthcare expenditure, advanced medical devices, and multinational biopharma companies entering the region.
Segment Insights:
- The services segment in the ai in life science analytics market is forecasted to see substantial growth till 2035, fueled by rising demand for installation and maintenance of AI in life sciences.
- The pharmaceutical & biotech companies segment in the ai in life science analytics market is forecasted to capture a 50.50% share by 2035, driven by the use of AI/ML algorithms to accelerate drug discovery and personalize treatments.
Key Growth Trends:
- AI in drug research and development
- Public and private sector investments
Major Challenges:
- Data security and privacy concerns
- High investment costs
Key Players: IBM Corporation, SAS Institute Inc., Oracle Corporation, IQVIA Inc., Accenture plc, Cognizant Technology Solutions Corporation, Wipro Limited, Palantir Technologies Inc., Saama Technologies, Inc., Tempus Labs, Inc.
Global AI in Life Science Analytics Market Forecast and Regional Outlook:
Market Size & Growth Projections:
- 2025 Market Size: USD 2.36 billion
- 2026 Market Size: USD 2.66 billion
- Projected Market Size: USD 8.98 billion by 2035
- Growth Forecasts: 14.3% CAGR (2026-2035)
Key Regional Dynamics:
- Largest Region: North America (44.5% Share by 2035)
- Fastest Growing Region: Asia Pacific
- Dominating Countries: United States, China, Germany, United Kingdom, Japan
- Emerging Countries: China, India, Japan, South Korea, Singapore
Last updated on : 18 September, 2025
AI in Life Science Analytics Market Growth Drivers and Challenges:
Growth Drivers
- AI in drug research and development: AI is gaining widespread adoption including in the life science sector. AI algorithms integrate with various datasets including chemical structure, biological, data, and patient records, which further aids in drug differentiation and interaction at a molecular level. This is positively influencing the overall AI in life science analytics market growth as AI is opening new avenues for drug discovery and streamlining clinical trials.
Also, by predicting issues early and optimizing trial processes, AI helps reduce the costs associated with drug development. For instance, in September 2024, Google DeepMind launched AlphaProteo the first AI system that aids researchers in drug designing and disease understanding more effectively. - Public and private sector investments: The growing investments from both private and public sectors are significantly influencing the adoption of AI in life sciences. Governments across the world are allocating sustainable funding to research organizations and universities for AI-related life science projects. Government agencies such as the U.S. National Institutes of Health and funding and research programs including Europe Commission’s Horizon Europe are contributing to the increasing use of AI in biomedical research and healthcare.
Challenges
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Data security and privacy concerns: AI and ML algorithms generate vast amounts of data and ensuring the confidentiality and security of this sensitive health data is most important. Attacks from cybercriminals can lead to a loss of vital data and high-profit opportunities for end users. Even though digital technologies are offering vast opportunities the concerns related to data security and privacy are expected to hamper the overall AI in life science analytics market growth to some extent.
- High investment costs: The development and installation of AI solutions require high investments in technology, infrastructure, and expertise that can be prohibitive for organizations running on tight budgets. AI applications need high-performance computing infrastructure and specialized hardware for processing large volumes of datasets, these hardware solutions are quite expensive to install and maintain.
AI in Life Science Analytics Market Size and Forecast:
Report Attribute | Details |
---|---|
Base Year |
2025 |
Forecast Period |
2026-2035 |
CAGR |
14.3% |
Base Year Market Size (2025) |
USD 2.36 billion |
Forecast Year Market Size (2035) |
USD 8.98 billion |
Regional Scope |
|
AI in Life Science Analytics Market Segmentation:
Component Segment Analysis
Services segment is projected to dominate around 52.5% AI in life science analytics market share by the end of 2035 owing to rising demand for installation and maintenance of AI in life sciences. Life science organizations generate a high volume of data from various sources such as genomics, clinical trials, and electronic health records, this complex data requires advanced research and proper maintenance, leading to a high need for effective service providers.
End use Segment Analysis
By the end of 2035, pharmaceutical & biotech companies segment is expected to hold over 50.5% AI in life science analytics market share. The advanced AI and ML algorithms are effective in analyzing the data generated and in accelerating the drug discovery process. These technologies can offer reliable information on which chemical compounds and biologics to rely on for potential drug designs. This increases their adoption in the pharma and biotech companies. Their effective approach to tailoring personalized treatments is further driving their use in pharma and biotech organizations.
Our in-depth analysis of the AI in life science analytics market includes the following segments
Component |
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Application |
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Deployment |
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End use |
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Vishnu Nair
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AI in Life Science Analytics Market Regional Analysis:
North America Market Insights
North America AI in life science analytics market is projected to grow at more than 11% CAGR through 2035 and is foreseen to capture 44.5% of the revenue share by 2035. The widespread adoption of digital technologies in the pharma biotech companies is positively influencing the AI in life science analytics market growth in the region. The increasing number of research and development activities in the healthcare sector are also augmenting the adoption of advanced life science tools.
The U.S. has a strong presence of several research organizations including the National Institutes of Health, which supports research for drug development using AI. The increasing collaborations between technology firms, research institutions, and healthcare providers are set to foster innovations and expand the adoption of advanced life science tools. For instance, in December 2023, the IBM Corporation and Meta Platforms, Inc., announced the launch of an AI alliance in collaboration with several technology firms, researchers, and adopters to advance open, safe, and responsible AI.
Canada is actively advancing its healthcare infrastructure and patient outcomes by adopting several digital technologies. Similar to the U.S. the presence of several research and funding organizations is further supporting the AI in life science analytics market growth in the country.
APAC Market Insights
Asia Pacific AI in life science analytics market is expected to hold revenue share of over 28.5% by the end of 2035 owing to the increasing healthcare expenditure, adoption of advanced medical devices and infrastructure, and entrance of several multinational biopharma companies. Asia is home to 60% of the global population and the rising prevalence of chronic disorders in the region is driving the adoption of advanced digital technologies in the drug research and development process. India, China, Japan, and South Korea are some of the top marketplaces in the region.
India is a rapidly expanding healthcare market generating profitable opportunities for healthcare-related solutions as well as service providers. According to the India Brand Equity Foundation, the India healthcare sector is anticipated to reach USD 638 billion by 2025. As per the same source, the Government of India is set to invest USD 6.8 billion to enhance its healthcare infrastructure. Such initiatives are forecasted to drive the adoption of advanced life science tools in the coming years.

AI in Life Science Analytics Market Players:
- IBM Corporation
- Company Overview
- Business Strategy
- Key Product Offerings
- Financial Performance
- Key Performance Indicators
- Risk Analysis
- Recent Development
- Regional Presence
- SWOT Analysis
- Indegene
- Lexalytics
- Google, Inc.
- AiCure LLC
- Atomwise
- Axtria, Inc.
- Databricks
- Oracle Corporation
- Saama
- SAS Institute, Inc.
- Nuance communications
The key players in the AI in life science analytics market are employing several organic and inorganic strategies to boost their profit shares. The leading companies are forming strategic partnerships with pharmaceutical companies, research institutions, and other technology providers to develop advanced solutions. Industry giants are also entering emerging markets and expanding their business operations to tap into new revenue streams.
Some of the key players include:
Recent Developments
- In March 2024, Axtria Inc., a prime producer of cloud software and data analytics for the life sciences revealed the opening of its new center in Hyderabad, India. The company offers advanced data analytics and AI-driven services, including generative AI.
- In September 2023, SAS Institute, Inc. launched an AI and analytics solution ‘SAS Health’ to drive healthcare innovation and patient care. This platform is widely adopted by health providers, insurers, and public health agencies.
- In October 2023, BioLizard revealed the AI-empowered framework ‘BioVerse’ to facilitate data-driven R&D for the global life sciences community. The framework includes 3 applications: Bio|Reflect, Pro|Biome, and Bio|Mx.
- Report ID: 6453
- Published Date: Sep 18, 2025
- Report Format: PDF, PPT
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