The “AI in Clinical Trials Market (2nd Edition): AI Software and Service Providers, 2023-2035” report features an extensive study of the current market landscape, market size and future opportunities associated with the AI in clinical trials market, during the given forecast period.
Key Inclusions
- An executive summary of the insights captured during our research. It offers a high-level view on the current scenario of AI in clinical trials market and its likely evolution in the mid to long term.
- A general overview of artificial intelligence in clinical trials, highlighting details on artificial intelligence and its subfields. It also presents information on the applications of AI in healthcare and clinical trials, and challenges associated with the adoption of AI. Additionally, it features a discussion on the future perspectives of the AI in clinical trials industry.
- A detailed assessment of the current market landscape of the companies offering AI software and service for clinical trials, based on several relevant parameters, such as year of establishment, company size (in terms of number of employees), location of headquarters, key offering(s) (device, technology / platform and service), business model(s) (software as a service (SaaS), technology licensing, CRO / fee-for-service model and product provider), deployment option(s) (cloud-based and on-premise), type of AI technology (machine learning, deep learning, natural language processing and others), application area(s) (data analysis, medical imaging, patient recruitment, trial design, site selection, patient engagement, integrated patient care, patient trial monitoring, personalized treatment and report generation) and potential end-user(s) (pharmaceutical / biotechnology companies, hospitals, research institutes and CROs).
- Elaborate profiles of the prominent companies (shortlisted based on a proprietary criterion) developing AI software / AI solutions and offering services for clinical trials. Each profile features a brief overview of the company (including information on its year of establishment, number of employees, location of headquarters and key members of the leadership team), financial information (if available), details related to AI-based clinical trial offerings, recent developments and an informed future outlook.
- An insightful clinical trial analysis of completed / ongoing clinical trials leveraging AI, based on various relevant parameters, such as trial registration year, number of patients enrolled, trial phase, trial status, type of sponsor, patient gender, patient age, emerging focus areas, target therapeutic area, patient allocation model used, trial masking adopted, type of intervention, trial purpose, most active players (in terms of number of clinical trials sponsored) and geography.
- A detailed analysis of the partnerships inked between stakeholders in the AI in clinical trials market, since 2018, covering product / technology utilization agreements, product / technology integration agreements, technology licensing agreements, research and development agreements, product development agreements, mergers and acquisitions, service agreements, service alliances and other relevant agreements.
- An analysis of the investments made, including seed financing, venture capital financing, capital raised from IPOs, grants, debt financing and other equity, and subsequent offerings, at various stages of development in start-ups, small and mid-sized companies that are focused on offering AI software and services for clinical trials.
- A detailed analysis of the initiatives taken by big pharma players related to AI in clinical trials, based on various relevant parameters, such as year of initiative, type of initiative, application area of AI, target therapeutic area and leading big pharma players (in terms of number of AI in clinical trials focused initiatives).
- An insightful framework depicting the implementation of several advanced tools and technologies, such as blockchain, big data analytics, real-world evidence, digital twins, cloud computing and internet of things (IoT) at different steps of a clinical study, which can assist service providers in addressing existing unmet needs. Further, it provides a detailed analysis on ease of implementation and associated risk in integrating above-mentioned technologies, based on the trends highlighted in published literature and patents.
- A detailed cost saving analysis, highlighting the overall cost saving potential of AI in clinical trials till 2035. We have highlighted the cost saving potential of AI in clinical trials for different trial phases (phase I, phase II and phase III) and trial procedures (patient recruitment, patient retention, staffing and administration, site monitoring, source data verification and other procedures).
The report also features the likely distribution of the current and forecasted opportunity across important market segments, mentioned below:
- Trial Phase
- Phase I
- Phase II
- Phase III
- Target Therapeutic Area
- Oncological Disorders
- Cardiovascular Disorders
- CNS Disorders
- Infectious Diseases
- Metabolic Disorders
- Other Disorders
- End-User
- Biotechnology and Pharmaceutical Companies
- Academic Research Institute and Other end-users
- Key Geographical Regions
- North America
- Europe
- Asia-Pacific
- Middle East and North Africa
- Latin America
Key Questions Answered
- How is AI and ML used in clinical trials?
- What are the challenges associated with integrating AI in clinical trials?
- What is the role of AI in electronic health records of clinical trials data?
- What is the global market size of AI in clinical trials market?
- Which are the leading artificial intelligence companies in clinical trials market?
- How AI can improve clinical trials?
- What are the leading market segments in the global AI in clinical trials market ?
- Which region captures the largest share in the AI in clinical trials market?
- What are the upcoming trends in AI in clinical trial market?
- What is the likely growth rate (CAGR) for AI in clinical trial market?
To view more details on this report, click on the link
https://www.rootsanalysis.com/reports/ai-based-clinical-trial-solutions.html
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About Roots Analysis
Roots Analysis is a global leader in the pharma / biotech market research. Having worked with over 750 clients worldwide, including Fortune 500 companies, start-ups, academia, venture capitalists and strategic investors for more than a decade, we offer a highly analytical / data-driven perspective to a network of over 450,000 senior industry stakeholders looking for credible market insights.
Contact:
Ben Johnson
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