AI-based Clinical Trials Solution Provider Market Size, Share, Segmentation, and Forecast 2030

The global AI-based Clinical Trials Solution Provider Market Size accrued earnings worth approximately 1.32 (USD Billion) in 2020 and is predicted to gain revenue of about 5.53(USD Billion) by 2028, is set to record a CAGR of nearly 22.1% over the period from 2021 to 2028. The report offers assessment and analysis of the AI-based Clinical Trials Solution Provider Market on a global and regional level. The study offers a comprehensive assessment of the market competition, constraints, revenue estimates, opportunities, evolving trends, and industry-validated data. The report provides historical data from 2018 to 2020 along with a forecast from 2021 to 2028 based on revenue (USD Billion).

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AI-based Clinical Trials Solution Provider Market: Synopsis

Healthcare industry is one of the major domains which finds plethora of AI applications. Moreover, use of AI in healthcare industry is supported by big data of electronic health records and improved computational ability of AI applications. Nevertheless, AI-based Clinical Trials Solution provider, which is one of the key AI applications, also aids in effective clinical decision making process and enhances new drug molecule discoveries for treating chronic and infectious ailments such as COVID-19, Avian Flu, and Swine Flu. Clinical development is likely to witness a paradigm shift with converging of large online data sources and computing power that helps in determining clinically similar & meaningful trends in data with help of AI algorithms.

Reportedly, AI tools such as AI-based Clinical Trials Solution helps in detecting, diagnosing, treating, and predicting outcomes of chronic ailments including cardiac problems, cancer, neurological ailments, and pathological disorders.  According to NCBI, in the timespan between 2000 to 2015, it was found that success proportion of clinical trials conducted on candidates was very low. For instance, only 14% of subjects were successful in all three phases of clinical trials.

However, with use of AI in clinical trials, there was a steep reduction in cycle time of trials and improvement in clinical trial outcomes. Such moves are set to accurately and seamlessly address issues related to clinical investigations along with augmenting popularity of AI-based clinical trials solutions. This will boost AI-based Clinical Trials Solution provider market trends.

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AI-based Clinical Trials Solution Provider Market: Growth Dynamics

Growth of AI-based Clinical Trials Solution provider market is subject to massive use of AI & deep learning algorithms in clinical trials for constant streaming of clinical test data for purpose of coding and storing. Apparently, use of AI-driven programs in clinical trials facilitates reduction of human intervention in data collection, thereby resulting in minimal error probability and seamless integration of clinical data with other databases.

This will amplify scope of AI-based Clinical Trials Solution provider industry. Furthermore, use of AI-driven health systems & patient support tools are set to aid clinical trials, thereby engaging and retaining subjects throughout all phases of clinical trials.

Moreover, AI-driven clinical trial solution providers assist in virtual monitoring of candidate condition and thus mitigate in-person visit to clinical trial site. Apart from this, use of AI technologies by healthcare & biotech firms helps the latter in sending of reminders & informing clinical trial progress to candidates. In addition to this, AI-based Clinical Trials Solution provider makes use of AI-driven search tools for detecting type of clinical trials through querying of clinical data of candidates.

AI-based Clinical Trials Solution Provider Market Report Scope:

For the record, firms such as AiCure and  Brite Health are making use of AI-based systems for monitoring patient health as well as their responses to medical treatment during clinical tests. Furthermore, these firms ensure efficiency of medical treatment and adherence to clinical trial procedures along with patient retention for completion of clinical trials. All these strategic moves will proliferate growth in size of AI-based Clinical Trials Solution provider market over forthcoming years.

Regional Landscape

North America To Lead Overall Market Growth By 2028

Growth of AI-based Clinical Trials Solution market in North America over assessment period can be attributed to various factors. Some of them include increase in acceptance of AI-driven systems in healthcare industry, rise in precision medicine practices & applications, and coining of strategy focusing on co-developing precision diagnostics and therapeutic agents as companion diagnostics for facilitating launch of effective drugs to successfully treat patients suffering from chronic ailments.

In addition to this, startup firms such as Unlearn.ai based in San Francisco are highlighting on minimizing number of subjects for clinical trials through use of AI-based tools. Apparently, third party service providers including antidote.me, Deep 6 AI, and Trials. Ai based in the U.S. have created AI apps that helps in  identifying & recruiting suitable patients for enrollment in clinical trials through exact examination of healthcare records of patients.

Competitive Landscape

Key players impacting industry sphere and profiled in report are:

• Deep 6 AI
• Unlearn.AI Inc.
• Saama Technologies
• Mendel.ai
• Antidote Technologies Inc.
• Phesi
• Innoplexus
• Intelligencia
• Symphony AI
• Median Technologies
• Aicure LLC
• BioAge Labs
• Inc.
• DEEP LENS AI
• CONSILX
• Pharmaseal
• Ardigen
• Halo Health Systems
• Trials.AI
• IBM Watson
• Koneksa Health
• BioSymetrics
• Euretos
• GNS Healthcare
• Exscientia.

The global AI-based Clinical Trials Solution Provider Market is segmented as follows

By Application

• Cardiovascular Diseases
• Oncology
• Metabolic Diseases

By End-User

• Pharmaceutical
• Academia

By Region

• North America
  • The U.S.
  • Canada
• Europe
  • France
  • The UK
  • Spain
  • Germany
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • GCC
  • South Africa
  • Rest of Middle East & Africa