As a result of the excessive capital requirement and myriad of other complexities associated with clinical trials, pharmaceutical industry is increasingly relying on AI software and service providers to achieve desired outcomes
Roots Analysis is pleased to announce the publication of its recent study, titled, “AI in Clinical Trials Market (2nd Edition): AI Software and Service Providers, 2023-2035”
The 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. Further, the report highlights the efforts of several stakeholders engaged in this rapidly emerging segment of the pharmaceutical industry. Key takeaways of the AI in clinical trials market report includes:
- An executive summary of the insights captured during our research.
- A general overview of artificial intelligence in clinical trials, highlighting details on artificial intelligence and its subfields.
- A detailed assessment of the current market landscape of the companies offering AI software and service for clinical trials, based on several relevant parameters.
- Elaborate profiles of the prominent companies (shortlisted based on a proprietary criterion) developing AI software / AI solutions and offering services for clinical trials.
- An insightful clinical trial analysis of completed / ongoing clinical trials leveraging AI, based on various relevant parameters.
- A detailed analysis of the partnerships inked between stakeholders in the AI in clinical trials market, since 2018.
- 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.
- A detailed analysis of the initiatives taken by big pharma players related to AI in clinical trials, based on various relevant parameters.
- 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.
- A detailed cost saving analysis, highlighting the overall cost saving potential of AI in clinical trials till 2035.
- A detailed market forecast, featuring analysis of the current and projected future opportunity across key market segments (listed below)
- Trial Phase
- Phase I
- Phase II
- Phase III
- Target Therapeutic Area
- Oncological Disorders