PUBLISHER: The Business Research Company | PRODUCT CODE: 1970084
PUBLISHER: The Business Research Company | PRODUCT CODE: 1970084
The application of artificial intelligence in clinical trials involves utilizing AI to enhance the efficiency and adequacy of trial designs. AI is employed in clinical trials to optimize trial processes by making predictions regarding patient behavior and drug efficacy.
The primary offerings of AI in clinical trials encompass both software and services. Software solutions involve the development or configuration of customized solutions to address specific challenges. Artificial intelligence software is utilized to facilitate quicker and more accurate hypothesis generation and to gain insights into disease progression. These applications extend to various stages of the clinical trial process, including trial design, patient selection, site selection, and patient monitoring across a range of medical fields such as oncology, neurological diseases, cardiovascular diseases, metabolic diseases, infectious diseases, and immunology diseases. The beneficiaries of AI in clinical trials include pharmaceutical and biotechnology companies, contract research organizations, and other relevant stakeholders.
Tariffs have affected the AI in clinical trials market by increasing costs for imported computing infrastructure, trial monitoring devices, and data storage systems. These impacts are more pronounced in technology intensive trials conducted across North America, Europe, and Asia Pacific. Budget pressures have influenced sourcing and deployment decisions. At the same time, tariffs are accelerating adoption of cloud based and software driven trial platforms. This shift is supporting digital trial ecosystems and improving long term operational efficiency.
The artificial intelligence (AI) in clinical trials market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in clinical trials market statistics, including artificial intelligence (AI) in clinical trials industry global market size, regional shares, competitors with a artificial intelligence (AI) in clinical trials market share, detailed artificial intelligence (AI) in clinical trials market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in clinical trials industry. This artificial intelligence (AI) in clinical trials market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The artificial intelligence (AI) in clinical trials market size has grown exponentially in recent years. It will grow from $10.11 billion in 2025 to $14.11 billion in 2026 at a compound annual growth rate (CAGR) of 39.6%. The growth in the historic period can be attributed to rising clinical trial failure rates, increasing R&D investment by pharma companies, growth in clinical data volumes, need for faster drug approvals, inefficiencies in traditional trial processes.
The artificial intelligence (AI) in clinical trials market size is expected to see exponential growth in the next few years. It will grow to $47.22 billion in 2030 at a compound annual growth rate (CAGR) of 35.3%. The growth in the forecast period can be attributed to expansion of decentralized clinical trials, increasing regulatory acceptance of AI tools, growth of precision medicine research, demand for cost efficient trials, advancements in healthcare analytics. Major trends in the forecast period include AI based trial design optimization, predictive patient enrollment modeling, data driven site selection, automated clinical outcome analysis, adaptive trial execution platforms.
The increasing need to reduce clinical trial expenses is expected to drive the growth of artificial intelligence in the clinical trial market in the coming years. Clinical trials are research studies conducted to evaluate medical, surgical, or behavioral interventions in humans, and their costs include both research-related expenses and patient care costs. Drug development and clinical trial activities are inherently expensive, and artificial intelligence is increasingly being used to enable more effective drug discovery, better-designed and safer trials, and enhanced patient outcomes at reduced costs. For instance, in February 2023, according to Genetic Engineering and Biotechnology News, a US-based platform that delivers updates on genetic engineering and biotechnology, the cost of developing a new drug among the top 20 global biopharmaceutical companies increased by 15%, rising from $298 million in 2022 to nearly $2.3 billion in 2023, which includes expenses associated with clinical trials. Additionally, in January 2023, a report by the National Bureau of Economic Research (NBER), a US-based non-profit economic research organization, indicated that the adoption of AI over the next five years is projected to generate significant healthcare cost savings of about 5-10% of total healthcare spending, amounting to roughly $200 billion to $360 billion annually. Thus, the growing need to control clinical trial costs is expected to fuel the artificial intelligence in clinical trial market.
Major companies operating in the artificial intelligence in clinical trials market are concentrating on the development of innovative technologies, including AI-based feasibility and recruitment platforms. AI feasibility and recruitment platforms are systems that use artificial intelligence to evaluate the practicality and success potential of clinical trials while also supporting the efficient recruitment of appropriate participants. For example, in June 2023, a US-based research provider company announced the launch of 'ObjectiveScreen,' an AI-driven feasibility and recruitment platform designed to improve clinical trial performance and outcomes by enhancing patient identification, prequalification, and retention processes. ObjectiveScreen allows direct connectivity between clinical trial sites and patients' electronic health records (EHRs). The platform also supports patient engagement by simplifying and streamlining appointment scheduling and communication processes.
In January 2023, Paradigm Health Inc., a US-based healthcare technology company, acquired Deep Lens Inc. The acquisition is geared towards providing Paradigm with Deep Lens's platform, which ensures equal access to trials for all patients while enhancing trial efficiency and reducing barriers to participation for healthcare providers. Deep Lens Inc., based in the US, is a provider of an AI-driven cloud platform for clinical research.
Major companies operating in the artificial intelligence (AI) in clinical trials market are Medable Inc.; PathAI inc.; Saama Technologies Inc.; TriNetX LLC; SymphonyAI Summit Inc.; Aktana; Nference Inc.; Insilico Medicine Inc.; Vineti Inc.; Innoplexus AG; Healx; AiCure Inc.; MEDIAN Technologies SA; Owkin Inc.; Science 37; Ardigen SA; Cyft Inc.; Unlearn.AI Inc.; Mendel AI; Deep Lens Inc.; Antidote Technologies Inc.; Arterys Inc.; Euretos BV; Halo Health Systems Inc.; Trials.AI Inc.; Transparency Life Sciences; BioAge Labs Inc.; Wave Life Sciences Ltd.; BioSymetrics Inc.
North America was the largest region in the artificial intelligence (AI) in clinical trials market in 2025. North America is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in clinical trials market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence (AI) in clinical trials market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain
The artificial intelligence (AI) in clinical trials market consists of revenues earned by entities by providing artificial intelligence in clinical trials services that include data security and compliance services and consulting and implementation services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in the clinical trials market also includes sales of clinical trial matching software, patient recruitment software and medical image analysis software. 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.
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.
Artificial Intelligence (AI) In Clinical Trials Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses artificial intelligence (AI) in clinical trials market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for artificial intelligence (AI) in clinical trials ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (AI) in clinical trials market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
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