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eClinical Solutions Market to Register 13.4% CAGR through 2031, Supported by AI-Enabled Insights Enhancing Clinical Trial Efficiency

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eClinical Solutions Market to Register 13.4% CAGR through 2031, Supported by AI-Enabled Insights Enhancing Clinical Trial Efficiency

August 27
17:35 2024
eClinical Solutions Market to Register 13.4% CAGR through 2031, Supported by AI-Enabled Insights Enhancing Clinical Trial Efficiency
Skyquest Technology
eClinical Solutions Market Size, Share, Growth Analysis, By Product(EDC & CDMS, CTMS, Clinical Analytics Platforms, RTSM, RIMS, eCOA Solutions, eTMF System, Others), Delivery mode(Web-hosted, On-premise, Cloud-based), Development phase, End-use, and Region – Industry Forecast 2024-2031

eClinical Solutions Market size was valued at USD 7.18 billion in 2022 and is poised to grow from USD 8.15 billion in 2023 to USD 22.35 billion by 2031, growing at a CAGR of 13.4% in the forecast period (2024-2031).

eClinical solutions witness considerable growth due to pharmaceutical and biopharmaceutical companies’ expanding research and development activities. Moreover, the outbreak of COVID-19 forced the biopharmaceutical market to grow patient-centricity and embrace the implementation of eClinical solutions for efficient management of clinical development programs. Hence, rising adoption of eclinical services in clinical experiments is also boosting the market.

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Top Player’s Company Profiles 

  • Oracle Corporation
  • Medidata Solutions, Inc.
  • Parexel International Corporation
  • Bioclinica, Inc.
  • OpenClinica (US) 
  • DATATRAK International, Inc. (US) 
  • CRF Health (UK) 
  • Advarra (US) 
  • MedNet Solutions, Inc. (US) 
  • Bio-Optronics, Inc. (US) 
  • eClinicalWorks LLC (US) 
  • ArisGlobal LLC (US) 
  • RealTime Software Solutions, LLC (US) 
  • Anju Software, Inc. (US) 
  • Veeva Systems, Inc. (US) 
  • Dassault Systemes SE (France) 
  • IBM Corporation (US) 
  • SAS Institute Inc. (US) 
  • PRA Health Sciences, Inc. (US)

 

Inclination towards decentralized trial approaches, patient-centric clinical experiments, and remote healthcare is speeding the use of eclinical solutions. Electronic data capture, electronic patient-reported outcomes, and remote monitoring solutions improve patient commitment, real-time insights, quality of data, patient-friendly trial models, and digital trial competencies. Hence, the growing use of remote monitoring solutions, this trend is expected to rise in the coming years. Integration of improved analytics, AI algorithms, and machine learning in eclinical solutions enhance optimization of trial designs, decision support abilities, and predictive modelling. AI-enabled insights improve patient satisfaction, endpoint selection, risk detection, clinical trial efficiency and efficacy, and ultimately patient outcomes.

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Segments covered

Product

Electronic Data Capture & Clinical Data Management Systems, Clinical Trial Management Systems, Clinical Analytics Platforms, Randomization & Trial Supply Management Systems, Clinical Data Integration Platforms, Electronic Clinical Outcome Assessment Solutions, Safety Solutions, Electronic Trial Master File Systems, Electronic Consent Solutions, Regulatory Information Management Systems, and Other

Delivery mode

Web-hosted Models, Licensed Enterprise Models, Cloud-based Solutions

Clinical Trial Phase

Phase I Clinical Trials, Phase II Clinical Trials, Phase III Clinical Trials, Phase IV Clinical Trials

End-user

Pharmaceutical & Biopharmaceutical Companies, Contract Research Organizations, Consultancy Service Companies, Medical Device Manufacturers, Hospitals, Academic & Research Institutes

Digitalization to Enhance Accuracy and Productivity in eClinical Services

Eclinical solutions has observed strong growth in the past few years, sustained by the current digital revolution in the clinical research domain. This inclination towards digitalization has remarkably improved efficiency and precision of several research activities, removing manual data entry steps and decreasing inaccuracies. This technological transformation smoothly incorporates big data analytics, cloud computing, and Internet of Things, developing real-time data flow and alliance among stakeholders. Also, cost-efficiency of eclinical services has reaped focus from pharma companies of different sizes. Their inherent compliance characteristics assure obedience to regulatory norms, important for acceptance and approval of novel treatment and drugs.

  • In May 2024, Oracle announced novel proficiencies in ‘Oracle Clinical One (RTSM) Randomization & Trial Supply Management’. With fresh improvements for application, regionalization, and access, users of Clinical One RTSM can efficiently solve dynamic, country-oriented protocols and needs, and obtain reliability, speed, and trials transparency from start to close.
  • In August 2023, the medical research tech organization, Clario declared the sale of its Software Solutions business, a complete service to aid the entire lifecycle clinical trial.
  • Signant Health announced the complete acquisition of DSG, a prominent provider of EDC and DDC technology in an integrated eClinical package, for decentralized and site-based clinical trials in July 2023.
  • Veeva Systems announced accessibility of Veeva ePRO, a main improvement in patient-centric digital experiments, in October 2022. This improved application streamlines patients’ tasks to finish entire examinations on a web browser or a smartphone and allow them to access data in real-time for clinical research and sponsors sites.

 

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Researchers to Focus on Collaborations with Partners to Address the Challenges of Data Integration

Despite the restricted growth of using external databases, the market is steadily familiarizing itself as the capability to use data effectively from various sources is growing in significance. There are still queries for how to integrate these data and how to better extract values. To deliver these queries, insights can help solve efficiencies leading to novel therapies delivered quickly to individuals. Therefore, research teams are actively focusing with partners to help navigate these obstacles, seek better guidance, and spend in technologies that can capably manage and expand data quantities.

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