AI In Clinical Trials Global Market Report 2024

AI in clinical trials involves the application of artificial intelligence (AI) technologies and techniques in the planning, design, execution, and analysis of clinical trials. Clinical trials are rigorous research studies that assess the safety and effectiveness of medical interventions, such as new drugs, medical devices, or treatment protocols, in human subjects.

The primary offerings for AI in clinical trials include software and services. AI in clinical trial services encompasses the investigation and generation of insights from past and current clinical trials. Various processes, including trial design, patient selection, site selection, and patient monitoring, leverage technologies such as machine learning, deep learning, supervised learning, and other machine learning technologies. These applications span across various medical fields such as oncology, neurological diseases, cardiovascular diseases, metabolic diseases, infectious diseases, and immunology diseases. The end-users of AI in clinical trials include pharmaceuticals and biotechnology companies, contract research organizations, and others.

The AI in clinical trials market research report is one of a series of new reports from The Business Research Company that provides AI in clinical trials market statistics, including AI in clinical trials industry global market size, regional shares, competitors with AI in clinical trials market share, detailed AI in clinical trials market segments, market trends, and opportunities, and any further data you may need to thrive in the AI in clinical trials industry. This 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 ai in clinical trials market size has grown exponentially in recent years. It will grow from $4.74 billion in 2023 to $6.69 billion in 2024 at a compound annual growth rate (CAGR) of 41.1%. The growth observed in the historic period for AI in clinical trials can be attributed to several factors, including the accumulation of data in healthcare, advancements in computing power, support for AI from regulatory bodies such as the FDA, the rise of wearable devices facilitating data collection, and the early development of AI algorithms tailored for clinical trial applications. These factors collectively contributed to the increased adoption and success of AI technologies in optimizing various aspects of clinical trials during the historical period.

The ai in clinical trials market size is expected to see exponential growth in the next few years. It will grow to $26.77 billion in 2028 at a compound annual growth rate (CAGR) of 41.5%. The anticipated growth in the forecast period for AI in clinical trials can be attributed to various factors, including the integration of real-world data, AI-powered patient recruitment processes, identification of biomarkers using AI, optimization of trial designs through AI-driven methodologies, and the adoption of continuous monitoring technology. Key trends expected in the forecast period encompass the use of federated learning approaches, the integration of AI in adaptive trials, AI-supported outcome prediction, AI-driven drug development initiatives, and the application of AI in drug repurposing efforts. These trends collectively contribute to the evolving landscape of AI in clinical trials, showcasing advancements and innovations in optimizing various aspects of the clinical trial process.

The anticipated surge in chronic and infectious diseases is poised to drive the advancement of the AI in clinical trials market in the foreseeable future. Chronic ailments, characterized by illnesses lasting three months or longer, progressively worsen over time. The integration of artificial intelligence in clinical trials proves instrumental in the development of diverse drugs tailored to treat chronic diseases. For example, as of January 2023, the National Library of Medicine, a US-based agency, forecasts a staggering 99.5% rise in individuals aged 50 and above grappling with at least one chronic condition in the US, soaring from 71.522 million in 2020 to an estimated 142.66 million by 2050. Hence, the escalating prevalence of chronic and infectious diseases serves as a catalyst propelling the AI in clinical trials market growth.

The burgeoning pharmaceutical sector is anticipated to be a driving force behind the expansion of AI implementation in the clinical trials domain. This sector encompasses the discovery, development, and manufacturing of drugs and medications by governmental and private entities alike. Artificial intelligence integration within clinical trials within the pharmaceutical industry serves to heighten efficiency, hasten drug development processes, and refine decision-making protocols. AI technologies meticulously analyze extensive datasets, forecast patient responses, identify suitable trial participants, and optimize trial frameworks, resulting in more cost-efficient and streamlined clinical trials. For instance, statistics from the European Federation of Pharmaceutical Industries and Associations (EFPIA) as of June 2023 indicate that the overall pharmaceutical production in Europe reached $384,200 million (€340,000 million) in 2022, marking an approximate 4.95% increase from $366,267 million (€323,950 million) in 2021. Consequently, the escalating expansion of the pharmaceutical industry is a driving force behind the growth of AI integration in the clinical trials sector.

The surge in technological advancements stands as a pivotal trend gaining traction within the AI in clinical trials market. Entities entrenched in this market segment are actively embracing novel technologies to fortify their standing. An illustrative instance is the introduction, in February 2023, by Lantern Pharma, a US-based clinical-stage oncology company, of its distinctive RADR artificial intelligence (AI) and machine learning (ML) platform. This innovation aims to revolutionize the cost, pace, and duration associated with discovering and developing oncology medications. The RADR advancements primarily focus on pioneering AI and ML methodologies tailored to craft antibody-drug conjugates (ADCs). These ADCs, comprised of precisely targeted antibodies linked to potent anti-tumor small molecules, offer promising treatment avenues for cancer.

Major players within the AI in clinical trials sector are embracing a strategic partnership approach to introduce enhanced research tools and workflow efficiencies, leading to augmented timelines and improved patient recruitment. Strategic partnerships signify a collaborative process wherein companies capitalize on each other's strengths and resources to achieve mutual advantages and success. An exemplification of this strategy occurred in February 2023 when a US-based pharmaceutical commercial company partnered with Haystack Health, a US-based software development enterprise. Their partnership aims to harness the potential of AI and Natural Language Processing (NLP) to expedite clinical trials, enhance patient recruitment, and diminish the screen failure rate, which incurs considerable time and financial costs. This collaboration intends to leverage clinical AI and pre-screening services to achieve these goals effectively.

In October 2022, Beckman Coulter Diagnostics, a clinical diagnostics company based in the United States, successfully acquired StoCastic LLC for an undisclosed amount. This strategic acquisition is poised to enhance evidence-based Clinical Decision Support (CDS) capabilities and leverage Beckman Coulter Diagnostics' biomarkers to generate improved decision-support insights. The integration of StoCastic's artificial intelligence expertise into Beckman Coulter Diagnostics' offerings aims to empower clinicians to make more informed decisions quickly, ultimately contributing to enhanced patient outcomes. StoCastic LLC, based in the United States, is an artificial intelligence company specializing in the development of healthcare software.

Major companies operating in the ai in clinical trials market report are Intel, The International Business Machines Corporation (IBM), Koninklijke Philips N.V., ConcertAI, Saama Technologies LLC, Samaa Technologies, Owkin Inc., Numerate, Neuroute, AiCure, Ardigen, Unlearn AI, PathAI, Exscentia, Aitia Infotech Pvt Ltd., Euretos, VeriSIM Life, Envisagenics, Nuritas, BioSymetrics, BioAge Labs Inc, Trials.Ai, Pharmaseal, Caylx, IQVIA

North America was the largest region in the AI in clinical trials market in 2023. The regions covered in the ai in clinical trials market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the ai in clinical trials market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in clinical trials market consists of revenues earned by entities by providing AI software solutions and platforms designed to assist in various aspects of clinical trials, such as trial design, patient recruitment, data collection, monitoring, and analysis, data analytics and insights, predictive modeling and simulation, regulatory compliance, and safety monitoring. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in clinical trials also includes sales of computer vision technology, cognitive computing, and machine translation technologies which are used in providing clinical trials. 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.

AI In Clinical Trials Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on 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.

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Where is the largest and fastest growing market for 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? The 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, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

• 1) By Offering: Software; Services
• 2) By Process: Trial Design; Patient Selection; Site Selection; Patient Monitoring
• 3) By Technology: Machine Learning; Deep Learning; Supervised Learning; Other Technologies
• 4) By Application: Oncology; Neurological Diseases And Condition; Cardiovascular Diseases; Metabolic Diseases; Infectious Diseases; Immunology diseases; Other Applications
• 5) By End-User: Pharmaceuticals And Biotechnology Companies; Contract Research Organizations; Other End-Users
• Companies Mentioned: Intel; The International Business Machines Corporation (IBM); Koninklijke Philips N.V.; ConcertAI; Saama Technologies LLC
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.