Al in Clinical Trials Market

Al in Clinical Trials Market Size By Offering (Services and Software), By Technology (Supervised, Deep Learning, and Machine Learning), By Application (Metabolic, Infectious Diseases, Cardiovascular, and Oncology), and By End-User (CROs, Biotech, and Pharma), Regions, Global Industry Analysis, Share, Growth, Trends, and Forecast 2024 to 2033

Base Year: 2023 Historical Data: 2020-22
  • Report ID: TBI-14134
  • Published Date: Feb, 2024
  • Pages: 238
  • Category: Information Technology & Semiconductors
  • Format: PDF
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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.

Market Introduction:

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.

Al in Clinical Trials Market Size

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Recent Development

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.

Market Dynamics:

Drivers

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.

Restraints:

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.

Opportunities:

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.

Regional segmentation analysis:

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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Offering Segment Analysis

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.

Technology Segment Analysis

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.

Application Segment Analysis

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.

End-User Segment Analysis

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.

Some of the Key Market Players:
  • Antidote Technologies
  • Mendel.ai
  • Saama Technologies
  • Trials.ai
  • IQVIA
  • Medidata
  • AiCure
  • Deep 6 AI
  • Phesi
  • Signant Health
  • Innoplexus
  • Median Technologies

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

Frequesntly Asked Questions

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.

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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:

  • Services
  • Software

Global Al in Clinical Trials Market By Technology:

  • Supervised
  • Deep Learning
  • Machine Learning

Global Al in Clinical Trials Market By Application:

  • Metabolic
  • Infectious Diseases
  • Cardiovascular
  • Oncology

Global Al in Clinical Trials Market By End-User:

  • CROs
  • Biotech
  • Pharma

Global Al in Clinical Trials Market By Region:

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Spain
  • Asia-Pacific
    • Japan
    • China
    • India
  • South America
    • Brazil
  • Middle East and Africa  
    • UAE
    • South Africa

Methodology

Research has its special purpose to undertake marketing efficiently. In this competitive scenario, businesses need information across all industry verticals; the information about customer wants, market demand, competition, industry trends, distribution channels etc. This information needs to be updated regularly because businesses operate in a dynamic environment. Our organization, The Brainy Insights incorporates scientific and systematic research procedures in order to get proper market insights and industry analysis for overall business success. The analysis consists of studying the market from a miniscule level wherein we implement statistical tools which helps us in examining the data with accuracy and precision. 

Our research reports feature both; quantitative and qualitative aspects for any market. Qualitative information for any market research process are fundamental because they reveal the customer needs and wants, usage and consumption for any product/service related to a specific industry. This in turn aids the marketers/investors in knowing certain perceptions of the customers. Qualitative research can enlighten about the different product concepts and designs along with unique service offering that in turn, helps define marketing problems and generate opportunities. On the other hand, quantitative research engages with the data collection process through interviews, e-mail interactions, surveys and pilot studies. Quantitative aspects for the market research are useful to validate the hypotheses generated during qualitative research method, explore empirical patterns in the data with the help of statistical tools, and finally make the market estimations.

The Brainy Insights offers comprehensive research and analysis, based on a wide assortment of factual insights gained through interviews with CXOs and global experts and secondary data from reliable sources. Our analysts and industry specialist assume vital roles in building up statistical tools and analysis models, which are used to analyse the data and arrive at accurate insights with exceedingly informative research discoveries. The data provided by our organization have proven precious to a diverse range of companies, facilitating them to address issues such as determining which products/services are the most appealing, whether or not customers use the product in the manner anticipated, the purchasing intentions of the market and many others.

Our research methodology encompasses an idyllic combination of primary and secondary initiatives. Key phases involved in this process are listed below:

MARKET RESEARCH PROCESS

Data Procurement:

The phase involves the gathering and collecting of market data and its related information with the help of different sources & research procedures.

The data procurement stage involves in data gathering and collecting through various data sources.

This stage involves in extensive research. These data sources includes:

Purchased Database: Purchased databases play a crucial role in estimating the market sizes irrespective of the domain. Our purchased database includes:

  • The organizational databases such as D&B Hoovers, and Bloomberg that helps us to identify the competitive scenario of the key market players/organizations along with the financial information.
  • Industry/Market databases such as Statista, and Factiva provides market/industry insights and deduce certain formulations. 
  • We also have contractual agreements with various reputed data providers and third party vendors who provide information which are not limited to:
    • Import & Export Data
    • Business Trade Information
    • Usage rates of a particular product/service on certain demographics mainly focusing on the unmet prerequisites

Primary Research: The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. Primary research mainly involves in telephonic interviews, E-mail interactions and face-to-face interviews with the raw material providers, manufacturers/producers, distributors, & independent consultants. The interviews that we conduct provides valuable data on market size and industry growth trends prevailing in the market. Our organization also conducts surveys with the various industry experts in order to gain overall insights of the industry/market. For instance, in healthcare industry we conduct surveys with the pharmacists, doctors, surgeons and nurses in order to gain insights and key information of a medical product/device/equipment which the customers are going to usage. Surveys are conducted in the form of questionnaire designed by our own analyst team. Surveys plays an important role in primary research because surveys helps us to identify the key target audiences of the market. Additionally, surveys helps to identify the key target audience engaged with the market. Our survey team conducts the survey by targeting the key audience, thus gaining insights from them. Based on the perspectives of the customers, this information is utilized to formulate market strategies. Moreover, market surveys helps us to understand the current competitive situation of the industry. To be precise, our survey process typically involve with the 360 analysis of the market. This analytical process begins by identifying the prospective customers for a product or service related to the market/industry to obtain data on how a product/service could fit into customers’ lives.

Secondary Research: The secondary data sources includes information published by the on-profit organizations such as World bank, WHO, company fillings, investor presentations, annual reports, national government documents, statistical databases, blogs, articles, white papers and others. From the annual report, we analyse a company’s revenue to understand the key segment and market share of that organization in a particular region. We analyse the company websites and adopt the product mapping technique which is important for deriving the segment revenue. In the product mapping method, we select and categorize the products offered by the companies catering to domain specific market, deduce the product revenue for each of the companies so as to get overall estimation of the market size. We also source data and analyses trends based on information received from supply side and demand side intermediaries in the value chain. The supply side denotes the data gathered from supplier, distributor, wholesaler and the demand side illustrates the data gathered from the end customers for respective market domain.

The supply side for a domain specific market is analysed by:

  • Estimating and projecting penetration rates through analysing product attributes, availability of internal and external substitutes, followed by pricing analysis of the product.
  • Experiential assessment of year-on-year sales of the product by conducting interviews.

The demand side for the market is estimated through:

  • Evaluating the penetration level and usage rates of the product.
  • Referring to the historical data to determine the growth rate and evaluate the industry trends

In-house Library: Apart from these third-party sources, we have our in-house library of qualitative and quantitative information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, historic databases, internal audit reports and archives.

Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those cases, we use our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopt a robust research technique in order to produce the estimates:

  • Applying demographic along with psychographic segmentation for market evaluation
  • Determining the Micro and Macro-economic indicators for each region 
  • Examining the industry indicators prevailing in the market. 

Data Synthesis: This stage involves the analysis & mapping of all the information obtained from the previous step. It also involves in scrutinizing the data for any discrepancy observed while data gathering related to the market. The data is collected with consideration to the heterogeneity of sources. Robust scientific techniques are in place for synthesizing disparate data sets and provide the essential contextual information that can orient market strategies. The Brainy Insights has extensive experience in data synthesis where the data passes through various stages:

  • Data Screening: Data screening is the process of scrutinising data/information collected from primary research for errors and amending those collected data before data integration method. The screening involves in examining raw data, identifying errors and dealing with missing data. The purpose of the data screening is to ensure data is correctly entered or not. The Brainy Insights employs objective and systematic data screening grades involving repeated cycles of quality checks, screening and suspect analysis.
  • Data Integration: Integrating multiple data streams is necessary to produce research studies that provide in-depth picture to the clients. These data streams come from multiple research studies and our in house database. After screening of the data, our analysts conduct creative integration of data sets, optimizing connections between integrated surveys and syndicated data sources. There are mainly 2 research approaches that we follow in order to integrate our data; top down approach and bottom up approach.

Market Deduction & Formulation: The final stage comprises of assigning data points at appropriate market spaces so as to deduce feasible conclusions. Analyst perspective & subject matter expert based holistic form of market sizing coupled with industry analysis also plays a crucial role in this stage.

This stage involves in finalization of the market size and numbers that we have collected from data integration step. With data interpolation, it is made sure that there is no gap in the market data. Successful trend analysis is done by our analysts using extrapolation techniques, which provide the best possible forecasts for the market.

Data Validation & Market Feedback: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helps us finalize data-points to be used for final calculations.

The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. The data validation interview and discussion panels are typically composed of the most experienced industry members. The participants include, however, are not limited to:

  • CXOs and VPs of leading companies’ specific to sector
  • Purchasing managers, technical personnel, end-users
  • Key opinion leaders such as investment bankers, and industry consultants

Moreover, we always validate our data and findings through primary respondents from all the major regions we are working on.

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