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Clinical Data Analytics Solutions Market Size
Clinical Data Analytics Solutions Market size was valued at USD 5.9 billion in 2023 and is anticipated to showcase growth at 12.8% CAGR from 2024 – 2032, owing to increasing adoption of electronic health records (EHRs), rising demand for real-time data insights to enhance patient outcomes, and growth in clinical studies for developing new therapeutics.
To get key market trends
Additionally, growing demand for mitigating the risk of failures in clinical studies is also fueling the adoption of clinical data analytics solutions, as these studies are resource intensive, and failures can lead to significant losses for pharmaceutical companies and research organizations.
Clinical data analytics involves analyzing healthcare data, including EHRs, medical imaging, lab results, and patient demographics, to derive valuable insights for improved patient care, decision-making, and streamlined operations. Advanced analytics tools like machine learning and predictive modeling help healthcare institutions uncover trends and patterns, leading to better clinical outcomes, cost-efficiency, and population health management.
Clinical Data Analytics Solutions Market Report Attributes
Report Attribute
Details
Base Year:
2023
Clinical Data Analytics Solutions Market size in 2023:
USD 5.9 Billion
Forecast Period:
2024 – 2032
Forecast Period 2023 - 2032 CAGR:
12.8
2023 Value Projection:
USD 17.9 Billion
Historical Data for:
2021 – 2023
No of Pages:
118
Tables, Charts & Figures:
215
Segments Covered:
Solution, Application, End-use, and Region
Growth Drivers:
Increasing adoption of electronic health records (EHRs)
Rising demand for real-time data insights to enhance patient outcomes
Growth in clinical studies for developing new therapeutics
Growing demand for mitigating the risk of failures in clinical studies
Pitfalls Challenges:
Security and privacy concerns related to clinical data
Issues related to data quality and integration
What are the growth opportunities in this market?
Clinical Data Analytics Solutions Market Trends
Growing focus on personalized medicine, precision health interventions, and targeted therapies is driving the integration of genomics data with clinical data analytics solutions. As a result, the vendors are increasingly prioritizing such integration to enable more comprehensive patient profiling, predictive modeling, and treatment optimization, and to offer cutting edge clinical data analytical solutions in the market.
Vendors are also focusing towards exploring blockchain technology in healthcare to strengthen data security, integrity, and traceability in clinical data analytics, to ensure secure sharing and access of sensitive healthcare data.
Growing demand for cost optimization has led the healthcare organizations to invest heavily on clinical data analytics solutions to bolster value-based care models and promote performance evaluation, and reimbursement optimization based on clinical results and patient satisfaction.
Clinical Data Analytics Solutions Market Analysis
Learn more about the key segments shaping this market
Based on solution, the market is segmented into platform and services. Platform segment is further segmented into cloud-based platform and on-premise platform. Similarly, services segment is further segmented into consulting services, integration and implementation services, and support and maintenance services. The platform segment held the majority of market share in 2023 and is anticipated to grow at CAGR of 12.6% over the coming years.
Growing adoption of wireless and smart networking technologies across healthcare settings, and rising demand for real-time data access from remote locations is driving the demand for cloud-based platforms, which is driving the revenue growth in the platform segment.
Vendors are leveraging advanced analytics technologies in their existing platforms such as artificial intelligence (AI), predictive modeling, machine learning (ML), and natural language processing (NLP), to derive actionable insights from healthcare data. Availability of such advanced platforms are driving their adoption among end users globally, contributing to the revenue growth in the segment.
Based on application, the clinical data analytics solutions market is classified into clinical decision support, precision health, quality improvement and clinical benchmarking, regulatory reporting and compliance, and other applications. The clinical decision support segment dominated the market with a revenue of about USD 1.9 billion in 2023.
Increasing growth in clinical trails has surged the demand for clinical data analytics solutions in clinical decision support, as clinical trials often involves making efficient clinical decisions related to patient recruitment and screening, protocol designing and optimization, real-time monitoring and adverse events detection, data integration, and regulatory compliance and documentation.
Increasing demand for reducing unnecessary cost across healthcare organizations is also driving the adoption of clinical data analytics solutions in clinical decision support applications. Healthcare organizations can reduce unnecessary tests, procedures, and hospitalizations by promoting appropriate resource utilization through analytics solutions.
Learn more about the key segments shaping this market
Based on end-use, the clinical data analytics solutions market is classified into pharmaceutical and biotechnology companies, providers, payers, and other end-users. The pharmaceutical and biotechnology companies segment secured a share of about 36.5% in 2023 and is anticipated to grow at 13% CAGR during the forecast period.
Increasingly adoption of clinical data analytics solutions by pharmaceutical and biotechnology companies in clinical studies to optimize trial design, streamline recruitment processes, identify suitable patient populations, leading to more efficient and cost-effective clinical trials is driving the revenue growth in the segment.
Growing use of clinical data analytics to optimize market access and pricing of new drug candidates is also driving their adoption among pharmaceutical and biotechnology companies. The clinical data analytics solutions provide insights into treatment and cost effectiveness, that helps the pharmaceutical companies in demonstrating the value of their products to providers, payers, and regulatory authorities, thereby optimizing pricing strategies and market access.
Looking for region specific data?
North America clinical data analytics solutions market accounted for 63.4% of market share in global market and is predicted to reach USD 11.1 billion by 2032.
Increasing number of drug approvals by the regulatory organizations such as US Food and Drug Administration (FDA) to address unmet medical needs and improving patient care is driving the use of clinical data analytics solutions among pharmaceutical and biotechnology companies in the region.
Payers in the region are increasingly subscribing to clinical data analytics solutions for analyzing claims and clinical data for identifying high-risk patients and for predicting future expenses related to their care.
Furthermore, adoption of value-based care model across healthcare settings has led to an increasing demand for a more proactive, coordinated, and patient-centered care, that can help to improve clinical outcomes and reduce costs. Clinical data analytics enable the providers to support value-based care by enabling risk stratification, care coordination, and population health management, thereby driving their adoption across healthcare settings.
The U.S. clinical data analytics solutions market was valued at USD 3.3 billion in 2023 and is anticipated to grow at a CAGR of 12.7% over the forecast period.
The dominating position of U.S. can be attributed to an increasing investment by pharmaceutical and biotechnology companies to develop new drug candidate, which is driving the number of new clinical studies in the country, thereby contributing to the market growth.
Moreover, availability of robust digital healthcare infrastructure supporting the easy availability of clinical data such as EHR and claims data is also helping the vendors to offer a more efficient and precise clinical data analytics solutions, thereby supporting the market growth in the U.S.
Germany clinical data analytics solutions market is expected to show significant growth during the forecast period.
Increasing burdens on providers due to rise in prevalence of chronic diseases such as cancer, diabetes, cardiovascular diseases, and respiratory disorders are driving the adoption of clinical data analytics solutions in population health management, and to improve care coordination and continuity of care.
Additionally, increasing development in connected infrastructure across hospitals, pharmacies, and outpatient physicians’ clinics in Germany is offering significant amount of patient powered clinical data. Growing awareness among providers to utilize this data to improve patient care is driving the use of clinical data analytical solutions in Germany.
According to the Federal Ministry for Economic Affairs and Climate Action, Germany is one of the leading destinations for pharmaceutical innovation and clinical trials in Europe. In 2021, German pharmaceutical companies invested about USD 9.3 Billion into research and development, more than any other country in Europe. As a result, the demand for clinical data analytics solutions among pharmaceutical and biotechnology companies has surged in the country.
India clinical data analytics solutions market is anticipated to grow remarkably over the coming years.
Increasing adoption of reimbursement coverage for therapeutic treatments has led to an increasing demand for faster claim settlement in India. This has fueled the adoption of clinical data analytics solutions among payers to stratify patient populations based on risk profiles, predictive modeling, and disease prevalence.
Being a price sensitive market, pharmaceutical and biotechnology companies in India are significantly using clinical data analytics solutions to quantify the clinical and economic benefits of their drugs compared to existing treatments options for optimizing the pricing of their products.
Moreover, rapid digitization of healthcare data and growing government support to digitalize existing healthcare infrastructure in India has led to the generation and accumulation of vast amounts of digital health data, thereby offering ample opportunities to vendors to offer solutions for data integration and analysis, driving demand for their services.
Clinical Data Analytics Solutions Market Share
The clinical data analytics solutions industry is fragmented due to the presence of many established and small and medium-scale vendors that are focusing towards offering advanced analytical solutions with enhanced features. Small scale vendors are focusing on low pricing strategies as they are unable to compete with established players in terms of scale and investments.
Clinical Data Analytics Solutions Market Companies
Prominent players operating in the clinical data analytics solutions industry include:
Allscripts Healthcare Solutions, Inc.
CareCloud Corporation
Cerner Corporation
Dassault Systèmes
eClinical Solutions LLC
Inspirata Inc.
IQVIA Inc.
Medeanalytics, Inc.
Medical Information Technology Inc.
Optum, Inc.
Oracle Corporation
Qsi Management LLC
SAS Institute, Inc.
Truven Health Analytics, Inc.
Verisk Analytics, Inc.
Clinical Data Analytics Solutions Industry News:
In February 2024, Medidata, a subsidiary of Dassault Systèmes announced to renew its collaboration with PPD clinical research business of Thermo Fisher Scientific Inc. to support the PPD clinical research business for advancing their customers’ drug development programs.
In April 2023, Medidata, a subsidiary of Dassault Systèmes, unveiled a collaboration with Lambda Therapeutics aimed at enhancing the efficiency of Lambda Therapeutics' clinical trials. Through this partnership, Medidata's cloud-based clinical solutions - Rave RTSM, Rave EDC, and Rave Imaging - will be deployed to automate and streamline data management processes within Lambda Therapeutics' clinical trials.
The clinical data analytics solutions market research report includes an in-depth coverage of the industry with estimates & forecast in terms of revenue in USD Million from 2021 – 2032 for the following segments:
to Buy Section of this Report
Market, By Solution
Platform
Cloud-based
On-premise
Services
Consulting services
Integration and implementation services
Support and maintenance services
Market, By Application
Clinical decision support
Precision health
Quality improvement and clinical benchmarking
Regulatory reporting and compliance
Other applications
Market, By End-use
Pharmaceutical and biotechnology companies
Providers
Payers
Other end-users
The above information is provided for the following regions and countries:
North America
U.S.
Canada
Europe
Germany
UK
France
Spain
Italy
Netherlands
Rest of Europe
Asia Pacific
China
Japan
India
Australia
South Korea
Rest of Asia Pacific
Latin America
Brazil
Mexico
Rest of Latin America
Middle East and Africa
South Africa
Saudi Arabia
UAE
Rest of Middle East and Africa
Author: Mariam Faizullabhoy, Gauri Wani
Frequently Asked Question(FAQ) :
Mention the key players involved in clinical data analytics solutions industry?+
How big is the North America clinical data analytics solutions industry?+
North America clinical data analytics solutions market accounted for 63.4% share and is predicted to reach USD 11.1 billion by 2032, attributed to increasing number of drug approvals by the regulatory organizations such as the U.S. Food and Drug Administration (FDA).
What is the size of clinical data analytics solutions industry?+
Clinical data analytics solutions market size was valued at USD 5.9 billion in 2023 and is anticipated to showcase 12.8% CAGR from 2024
Why is the demand for clinical data analytics solutions growing in pharmaceutical and biotechnology companies?+
The pharmaceutical and biotechnology companies segment in the clinical data analytics solutions industry is anticipated to grow at 13% CAGR during 2024-2032, driven by increasing adoption to optimize trial design, streamline recruitment processes, and identify suitable patient populations.