Clinical Intelligence Market Size, Share, Opportunities, And Trends By Technology Type (Predictive Analytics, Prescriptive Analytics, Descriptive Analytics), By Product (Hardware, Software), By Mode of Delivery (On-Premise, Web and Cloud-Based), By Application (Quality Healthcare, Client Relationship Management, Healthcare Workers Performance Evaluation, Hospital/Clinical Data Management and Curation), And By Geography - Forecasts From 2024 To 2029

The clinical intelligence market is anticipated to expand at a high CAGR over the forecast period.

The market for clinical intelligence includes cutting-edge equipment and solutions intended to improve healthcare decision-making via insights and data analysis. Clinical settings can benefit from customized applications of artificial intelligence (AI), machine learning, natural language processing (NLP), and big data analytics. To find trends, forecast results, and improve treatment regimens, these technologies sort through enormous volumes of patient data from genomic sequencing, medical imaging, electronic health records (EHRs), and other sources.

Healthcare professionals can make better judgments, improve patient outcomes, and increase operational efficiency with the use of clinical intelligence. Leading participants in this market, which promotes developments in fields including personalized medicine, population health management, and clinical research, range from well-established healthcare IT firms to creative startups. With the growing need for data-driven healthcare, the clinical intelligence market will also further grow and develop.

Market Drivers 

• Increasing demand for data-driven healthcare is anticipated to boost the clinical intelligence market.

The clinical intelligence industry is expanding rapidly due to the growing need for data-driven healthcare. Utilizing enormous volumes of clinical data, healthcare organizations look for sophisticated analytics solutions to improve patient outcomes, cut costs, and boost operational effectiveness. Clinical intelligence solutions are designed to satisfy the changing demands of precision medicine and value-based care. They link with electronic health records, use AI and ML, and provide real-time decision support.

Adoption is also influenced by legislative requirements and an emphasis on population health management. To address the changing demands of contemporary healthcare delivery has led to increased demand, innovation, and investment in the clinical intelligence market.

The United States-based platform analytics startup Clarify Health introduced its Clarify Trials software in January 2022, to expedite the recruitment of clinical trials in underrepresented groups. Additionally, the over 400 social determinants of health (SDoH) insights provided by the Clarify Trials can be used to find study locations and investigators that have strong chances of enrolling a diverse patient group and evaluating physician referral patterns to facilitate coordinated outreach to underserved communities. As a result, the country's developments are stimulating market expansion in the surrounding area. As a result, it is anticipated that the growing use of clinical analytics in healthcare and the numerous strategic initiatives undertaken by the leading competitors will support the market expansion in North America.

• The rising adoption of Electronic Health Records is expected to boost the clinical intelligence market.

The market for clinical intelligence is driven by the increasing use of Electronic Health Records, which offer a large database of digital health data that can be analyzed. Clinical intelligence technologies help healthcare providers optimize care delivery, improve patient outcomes, and streamline operations by integrating with EHR systems to extract important insights. These technologies support population health management initiatives, predictive analytics, and evidence-based decision-making by utilizing EHR data.

The usefulness of clinical intelligence is further enhanced by EHR interoperability, which spurs innovation and adoption in the healthcare sector to satisfy the needs of data-driven care delivery and regulatory obligations. For example, in July 2022, Microsoft and the University of Pittsburgh Medical Centre inked a five-year partnership to enhance patient care by modernizing and expanding the health system's data management, warehousing, and analytics infrastructure.

• Growing focus on population health management anticipated to boost the clinical intelligence market.

The market for clinical intelligence is driven by the increasing emphasis on population health management, which calls for sophisticated analytics to predict illness trends, identify high-risk patients, and allocate resources optimally. By integrating with EHRs to analyze large datasets, clinical intelligence systems play a crucial role in helping healthcare organizations accomplish value-based care goals, manage population health proactively, and improve the quality of care.

The use of clinical intelligence technologies, which offer healthcare professionals actionable insights to improve preventative care plans and allocate resources effectively, is encouraged by the emphasis on population health management. This will ultimately improve patient outcomes and reduce costs.

The CDC opened a new center for outbreak analytics and forecasting in April 2022. With the use of data, models, and analytics, this center aims to improve the capacity for prompt and efficient decision-making to boost epidemic response. It is projected that the government's involvement in the advancement of healthcare analytics will spur national market expansion. It is expected that this will help the market as a whole grow.

Asia Pacific region is expected to grow significantly.

The growing adoption of digital health technology, rising healthcare costs, and government measures to improve healthcare infrastructure are driving considerable growth in the Asia Pacific clinical intelligence market. The demand for advanced analytics solutions to enhance patient care and population health management is driven by the region's huge and diversified population as well as the growing burden of chronic diseases. Further driving market expansion are partnerships between technology companies and healthcare providers, as well as growing investments in AI and machine learning technologies.

Clinical intelligence is expected to grow further as healthcare systems in the Asia Pacific area modernize and give data-driven decision-making more weight. In October 2022, to promote greater diversity among clinical trial participants, Walmart opened a research center. The Walmart Healthcare Research Institute's first objective is to encourage more equity in drug trials for chronic illnesses. All of these groups are commonly affected by chronic illnesses, although older adults, women, persons of color, and residents of rural areas are typically underrepresented in these trials.

Market Restraints

• Ensuring the interoperability and integration of diverse healthcare data sources could constrain the market.

Making sure that various healthcare data sources are integrated and interoperable is a significant challenge in the clinical intelligence sector. Data from various systems, including wearable sensors, medical devices, and EHRs, is frequently difficult for healthcare organizations to combine. Reaching flawless interoperability and data interchange is crucial to optimizing clinical intelligence products' efficacy and providing healthcare professionals with thorough insights. Strong data governance frameworks, interoperability standards that enable smooth data interchange across several systems, and standardization initiatives are necessary to overcome this obstacle.

Market Key Developments

• October 2023- Through creative and integrated technology-enabled pharmacovigilance (PV) safety services and solutions, IQVIA, a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry, announced a strategic collaboration with Argenx to advance treatment for patients with rare autoimmune diseases.
• November 2022: To assist organizations in meeting the requirements of the Centers for Medicare and Medicaid Services (CMS) ACO REACH (Accountable Care Organization Realizing Equity, Access, and Community Health) Model, Ursa Health added new features to Ursa Studio, its platform for developing healthcare analytics, in November 2022. With just one no-code platform, Ursa Studio covers the entire spectrum of healthcare data processing, including business intelligence, data modeling, analytics development, and raw data import and integration.

Market Segmentation

• By Technology Type:
  • Predictive Analytics
  • Prescriptive Analytics
  • Descriptive Analytics
• By Product:
  • Hardware
  • Software
• By Mode of Delivery:
  • On-Premise
  • Web and Cloud-Based
• By Application:
  • Quality Healthcare
  • Client Relationship Management
  • Healthcare Workers Performance Evaluation
  • Hospital/Clinical Data Management and Curation
• By Geography:
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • Japan
    • China
    • India
    • South Korea
    • Taiwan
    • Thailand
    • Indonesia
    • Others

1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base, and Forecast Years Timeline

1.8. Key Benefits for the Stakeholder

2. RESEARCH METHODOLOGY  

2.1. Research Design

2.2. Research Processes

3. EXECUTIVE SUMMARY

3.1. Key Findings

3.2. Analyst View

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. CLINICAL INTELLIGENCE MARKET BY TECHNOLOGY TYPE

5.1. Introduction

5.2. Predictive Analytics

5.2.1. Market Trends and Opportunities

5.2.2. Growth Prospects

5.3. Prescriptive Analytics

5.3.1. Market Trends and Opportunities

5.3.2. Growth Prospects

5.4. Descriptive Analytics 

5.4.1. Market Trends and Opportunities

5.4.2. Growth Prospects

6. CLINICAL INTELLIGENCE MARKET BY PRODUCT

6.1. Introduction

6.2. Hardware

6.2.1. Market Trends and Opportunities

6.2.2. Growth Prospects

6.3. Software 

6.3.1. Market Trends and Opportunities

6.3.2. Growth Prospects

7. CLINICAL INTELLIGENCE MARKET BY MODE OF DELIVERY

7.1. Introduction

7.2. On-Premise

7.2.1. Market Trends and Opportunities

7.2.2. Growth Prospects

7.3. Web and Cloud-Based 

7.3.1. Market Trends and Opportunities

7.3.2. Growth Prospects

8. CLINICAL INTELLIGENCE MARKET BY APPLICATION

8.1. Introduction

8.2. Quality Healthcare

8.2.1. Market Trends and Opportunities

8.2.2. Growth Prospects

8.3. Client Relationship Management

8.3.1. Market Trends and Opportunities

8.3.2. Growth Prospects

8.4. Healthcare Workers Performance Evaluation

8.4.1. Market Trends and Opportunities

8.4.2. Growth Prospects

8.5. Hospital/Clinical Data Management and Curation 

8.5.1. Market Trends and Opportunities

8.5.2. Growth Prospects

9. CLINICAL INTELLIGENCE MARKET BY GEOGRAPHY

9.1. Introduction

9.2. North America

9.2.1. By Technology Type

9.2.2. By Product

9.2.3. By Mode of Delivery

9.2.4. By Application 

9.2.5. By Country

9.2.5.1. United States

9.2.5.1.1. Market Trends and Opportunities

9.2.5.1.2. Growth Prospects

9.2.5.2. Canada

9.2.5.2.1. Market Trends and Opportunities

9.2.5.2.2. Growth Prospects

9.2.5.3. Mexico

9.2.5.3.1. Market Trends and Opportunities

9.2.5.3.2. Growth Prospects

9.3. South America

9.3.1. By Technology Type

9.3.2. By Product

9.3.3. By Mode of Delivery

9.3.4. By Application 

9.3.5. By Country 

9.3.5.1. Brazil

9.3.5.1.1. Market Trends and Opportunities

9.3.5.1.2. Growth Prospects

9.3.5.2. Argentina

9.3.5.2.1. Market Trends and Opportunities

9.3.5.2.2. Growth Prospects

9.3.5.3. Others

9.3.5.3.1. Market Trends and Opportunities

9.3.5.3.2. Growth Prospects

9.4. Europe

9.4.1. By Technology Type

9.4.2. By Product

9.4.3. By Mode of Delivery

9.4.4. By Application 

9.4.5. By Country

9.4.5.1. United Kingdom

9.4.5.1.1. Market Trends and Opportunities

9.4.5.1.2. Growth Prospects

9.4.5.2. Germany

9.4.5.2.1. Market Trends and Opportunities

9.4.5.2.2. Growth Prospects

9.4.5.3. France

9.4.5.3.1. Market Trends and Opportunities

9.4.5.3.2. Growth Prospects

9.4.5.4. Italy

9.4.5.4.1. Market Trends and Opportunities

9.4.5.4.2. Growth Prospects

9.4.5.5. Spain

9.4.5.5.1. Market Trends and Opportunities

9.4.5.5.2. Growth Prospects

9.4.5.6. Others

9.4.5.6.1. Market Trends and Opportunities

9.4.5.6.2. Growth Prospects

9.5. Middle East and Africa

9.5.1. By Technology Type

9.5.2. By Product

9.5.3. By Mode of Delivery

9.5.4. By Application 

9.5.5. By Country

9.5.5.1. Saudi Arabia

9.5.5.1.1. Market Trends and Opportunities

9.5.5.1.2. Growth Prospects

9.5.5.2. UAE

9.5.5.2.1. Market Trends and Opportunities

9.5.5.2.2. Growth Prospects

9.5.5.3. Others

9.5.5.3.1. Market Trends and Opportunities

9.5.5.3.2. Growth Prospects

9.6. Asia Pacific

9.6.1. By Technology Type

9.6.2. By Product

9.6.3. By Mode of Delivery

9.6.4. By Application 

9.6.5. By Country

9.6.5.1. Japan

9.6.5.1.1. Market Trends and Opportunities

9.6.5.1.2. Growth Prospects

9.6.5.2. China

9.6.5.2.1. Market Trends and Opportunities

9.6.5.2.2. Growth Prospects

9.6.5.3. India

9.6.5.3.1. Market Trends and Opportunities

9.6.5.3.2. Growth Prospects

9.6.5.4. South Korea

9.6.5.4.1. Market Trends and Opportunities

9.6.5.4.2. Growth Prospects

9.6.5.5. Taiwan

9.6.5.5.1. Market Trends and Opportunities

9.6.5.5.2. Growth Prospects

9.6.5.6. Thailand

9.6.5.6.1. Market Trends and Opportunities

9.6.5.6.2. Growth Prospects

9.6.5.7. Indonesia

9.6.5.7.1. Market Trends and Opportunities

9.6.5.7.2. Growth Prospects

9.6.5.8. Others

9.6.5.8.1. Market Trends and Opportunities

9.6.5.8.2. Growth Prospects

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

10.1. Major Players and Strategy Analysis

10.2. Market Share Analysis

10.3. Mergers, Acquisitions, Agreements, and Collaborations

10.4. Competitive Dashboard

11. COMPANY PROFILES

11.1. Allscripts Healthcare Solutions     

11.2. Cerner Corporation 

11.3. IBM   

11.4. McKesson (Ontada)   

11.5. Medeanalytics, Inc.     

11.6. Medical Information Technology Inc (Meditech)    

11.7. Optum Health     

11.8. Oracle    

11.9. Verisk Analytics    

11.10. Veeva Systems    

11.11. Parexel International Corporation    

Allscripts Healthcare Solutions     

Cerner Corporation 

IBM   

McKesson (Ontada)   

Medeanalytics, Inc.     

Medical Information Technology Inc (Meditech)    

Optum Health     

Oracle    

Verisk Analytics    

Veeva Systems    

Parexel International Corporation