The global Al in clinical trials market was valued at USD 1.9 billion in 2023, growing at a CAGR of 24.3% from 2024 to 2033. The market is expected to reach USD 16.7 billion by 2033. Artificial intelligence (AI) improves the quality and integrity of data from clinical trials by streamlining the administration and integration of vast and varied information from various sources. Furthermore, AI provides secure data sharing and analysis environments, facilitating collaboration between academics and businesses. The need for safety and data protection creates a growth factor for artificial intelligence in the clinical trials sector.
Clinical trials utilizing artificial intelligence (AI) have the potential to transform the drug development process completely. AI algorithms may locate people who fit the requirements by swiftly and cheaply sifting through massive amounts of data, reducing the hiring time and cost. AI accelerates insights from big datasets and uncovers hidden patterns by streamlining data analysis. With its ability to analyze historical data and predict future outcomes, artificial intelligence (AI) can assist researchers in designing more fruitful and profitable experiments. AI can tailor patients' treatment plans based on their genetic and medical traits. AI systems that continuously analyze medical data can quickly spot negative events and enhance patient safety. AI-powered devices make it possible to monitor patients remotely, continuously improving the collection of real-world data and reducing the need for site visits, all facilitating simple data access. Artificial intelligence (AI) streamlines regulatory compliance by automating documents and ensuring adherence to industry standards and guidelines.
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In September 2023, Clarivate Plc, a global leader in supplying trustworthy intelligence to people and organizations so they can transform the world, announced the establishment of an Academia & Government Innovation Incubator. This will accelerate its strategy for leveraging AI, encouraging creativity, and introducing innovative solutions for its user base and academic clientele.
In July 2023, Through the advancement of the first drug discovered and manufactured by generative AI into human Phase II clinical trials, Insilico Medicine has raised the bar in artificial intelligence drug development. INS018_055, the main programme, is a pan-fibrotic inhibitor that might be the first of its type. The success of Insilico's moonshot drug demonstrates the potential of pharma. AI is the company's end-to-end AI drug development platform.
The growing trend towards personalized medicine- AI is critical to personalized medicine because AI can analyze vast volumes of medical data, identify patterns, and predict each patient's unique response to a particular medication. AI expedites the enrollment of patients, streamlines data processing, and facilitates the identification of patients who may be suitable candidates for customized treatments in clinical trials. Through machine learning algorithms, artificial intelligence (AI) helps researchers find biomarkers, categorize patient groups, and optimize trial design for more targeted and efficient outcomes.
Standardization of AI models- The variety of healthcare data, which includes patient information, imaging data, and electronic health records, necessitates the creation of customized AI models. However, the need for defined protocols and frameworks makes it difficult to create universally applicable AI models in the setting of clinical trials. This is expected to hinder the market's growth during the forecast period.
Hyper-personalized medicine and trial design- AI may analyze vast patient data, including genetic information, lifestyle factors, and medical history, to produce highly customized treatment plans. By considering each person's distinct response to therapy, this approach increases treatment efficacy. AI facilitates classifying patients according to characteristics, allowing for more precise and targeted recruitment for clinical trials. This reduces the length of trial durations and raises the possibility that patient groups will experience meaningful treatment benefits. Hyper-personalized treatment powered by AI enhances patient results and satisfaction. This may lower the rate of clinical trial dropouts, reducing the need to recruit new participants and enhancing the validity of research findings.
The regions analyzed for the market include North America, Europe, South America, Asia Pacific, the Middle East, and Africa. North America emerged as the largest global Al in clinical trials market, with a 43% market revenue share in 2023.
North America has led the world in technological advancements and inventions related to artificial intelligence, particularly the United States. The area is home to many elite IT companies, educational institutions, and startups that focus on developing cutting-edge AI solutions for various industries, including clinical trials and healthcare. It has committed substantial money and resources to AI companies and research initiatives. The development and use of AI technology in healthcare, including clinical trials, has shown a significant interest from venture capital firms, governments, and private investors.
North America Region Al in Clinical Trials Market Share in 2023 - 43%
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The offering segment is divided into services and software. The services segment dominated the market, with a market share of around 58% in 2023. Services offer tailored solutions that work with the existing clinical trial workflows. Customization allows AI systems to be tailored to the specific needs and objectives of different clinical trials and healthcare facilities.
The technology segment is divided into supervised, deep learning, and machine learning. The deep learning segment dominated the market, with a market share of around 42% in 2023. Deep learning processing and analytical capabilities can be applied to vast amounts of complicated and diverse data, including genetic data, electronic health records (EHRs), medical imaging, and other data regarding clinical trials.
The application segment is divided into metabolic, infectious diseases, cardiovascular, and oncology. The infectious diseases segment dominated the market, with a market share of around 35% in 2023. Infectious diseases usually require complex data sets, including genetic data, epidemiological data, and clinical trial results. AI can process and analyze large amounts of heterogeneous data effectively, allowing researchers to gain new insights and draw logical conclusions.
The end-user segment is divided into CROs, biotech, and pharma. The pharma segment dominated the market, with a market share of around 41% in 2023. Pharmaceutical companies use AI algorithms to review vast amounts of clinical data quickly. This speeds up the drug development process by assisting with identifying patterns, predicting patient reactions, and streamlining trial procedures.
Report Description:
Attribute | Description |
---|---|
Market Size | Revenue (USD Billion) |
Market size value in 2023 | USD 1.9 Billion |
Market size value in 2033 | USD 16.7 Billion |
CAGR (2024 to 2033) | 24.3% |
Historical data | 2020-2022 |
Base Year | 2023 |
Forecast | 2024-2033 |
Region | The regions analyzed for the market are Asia Pacific, Europe, South America, North America, and Middle East & Africa. Furthermore, the regions are further analyzed at the country level. |
Segments | Offering, Technology, Application, End-User |
As per The Brainy Insights, the size of the Al in clinical trials market was valued at USD 1.9 billion in 2023 to USD 16.7 billion by 2033.
The global Al in clinical trials market is growing at a CAGR of 24.3% during the forecast period 2024-2033.
North America emerged as the largest Al in clinical trials market.
Key players in the Al in clinical trials market are Antidote Technologies, Mendel.ai, Saama Technologies, Trials.ai, IQVIA, Medidata, AiCure, Deep 6 AI, Phesi, Signant Health, Innoplexus, and Median Technologies.
This study forecasts global, regional, and country revenue from 2020 to 2033. The Brainy Insights has segmented the global Al in clinical trials market based on the below-mentioned segments:
Global Al in Clinical Trials Market By Offering:
Global Al in Clinical Trials Market By Technology:
Global Al in Clinical Trials Market By Application:
Global Al in Clinical Trials Market By End-User:
Global Al in Clinical Trials Market By Region:
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