AI In Clinical Settings Market Size, Share, Opportunities, And Trends By Technology (Machine Learning, Natural Language Processing, Computer Vision, Robotics), By End-User (Hospitals and Clinics, Pharmaceutical and Biotechnology Companies, Medical Device Companies, Research Institutions), And By Geography - Forecasts From 2025 To 2030

The AI in clinical settings market is anticipated to grow at a CAGR of 37.5%.

The AI in clinical settings market is growing significantly due to the enhanced requirements for improving patient outcomes and diagnostic efficiency and the large volume of data in health care.

It is also transforming health care from different fronts, such as medical image analysis, drug development, precision medication, diagnostic and treatment administration, and clinical image processing.

Moreover, AI promotes prescribing the right treatment by identifying patient characteristics to suit the required treatment. AI-aided systems also bring clinical decision support for practical uses, enabling healthcare professionals to arrive at decisions.

What are the drivers of AI in the clinical settings market?

• Rising healthcare costs

The high cost of health care is a global problem for the healthcare system. These are associated with various factors such as the aging population, technological innovation, administrative complexities, cost of drugs, defensive medicine, and healthcare delivery inefficiency. In addition to this, the Saudi Arabian government intends to invest more than $65 billion under Vision 2030 to build its healthcare infrastructure, restructure and privatize insurance and health services, establish 21 "health clusters" nationwide, and increase the availability of e-health services. Similarly, private sector participation is aiming to increase from 40% to 65% by 2030. This would entail the privatization of 290 hospitals and 2300 primary health centers, thus creating considerable business opportunities for American companies investing in Saudi Arabia’s expanding healthcare market.

With the aging population, demand for healthcare services expands, mainly in chronic diseases and age-related conditions. This increase in demand can strain healthcare resources while raising costs. Moreover, administrative costs such as healthcare insurance claims, billing, and regulatory compliance will increase the cost burden.

• Increasing prevalence of chronic diseases

There has been a significant change in the market of AI in clinical settings, largely due to the rising incidences of chronic diseases. The total global population is growing older, and physical activity levels are decreasing, meaning that the prevalence of such diseases as diabetes, cardiovascular diseases, and cancer is rising. In this regard, nearly 80% of the elderly in the US have at least one chronic illness, according to the Centers for Disease Control and Prevention. Furthermore, the American Medical Association predicts that by 2030, at least 60% of people aged 65 and up will have more than one chronic illness. It was also noted that in 2022, about 4.4 million people were diagnosed with diabetes in the United Kingdom, and 1.2 million of them have type 2 diabetes. This rise in chronic disease incidences has led to a high demand for quality diagnosis, treatment, and disease management systems.

Early diagnosis, diagnosis of the right treatments, and patient-specific treatment plans can be supported using AI algorithms to study large amounts of patient data. Medical devices with artificial intelligence can provide healthcare products by remotely monitoring patients’ health and calling for timely help. In addition, AI increases the efficiency of developing new drugs for CHP and other chronic diseases.

• Advancements in AI Technology

New technological developments in AI technology assist in increasing AI in the clinical settings market because superior and precise applications can be implemented with its help. According to the United States Census Bureau, the adoption of AI and Robotics to automate processes was 54% and 66%, respectively, in 2022. Deep learning or machine learning techniques in the case of big data enable the learning of algorithms from extensive big data with more precise prediction qualities.  Natural language processing allows understanding and interpretation of human language to occur in AI systems, facilitating interaction between health providers and AI systems.

Computer vision enables AI systems to analyze and interpret visual data, such as medical images, to detect diseases at an early stage and diagnose them accurately. AI-powered robotic systems are being developed for surgical procedures, rehabilitation, and other clinical applications, improving patient outcomes. These advancements are driving the development of innovative AI-powered solutions that can address various challenges in healthcare, such as improving patient outcomes, reducing costs, and enhancing efficiency.

Geographical outlook of the AI in clinical settings market:

• The AI in clinical settings market is segmented into five regions worldwide:

Geography-wise, the market of AI in clinical settings is divided into North America, South America, Europe, the Middle East and Africa, and Asia Pacific. The North American AI in clinical settings market is largely driven by a strong healthcare infrastructure, large-scale investment in healthcare technology and research, and an excellent regulatory environment that fosters innovation and adoption of AI-enabled solutions. According to the American Medical Association, the United States spent $4,464.4 billion on health care in 2022 which was divided into different segments out of which hospital care accounted for 30.4% share, followed by physician service (14.5%), clinical services (5.3%), home health care (3%), nursing care facilities (4.3%), prescription drugs (9.1%), other personal health care (16.5%), the net cost of health insurance (6.3%), government administration (1,2%), government public health activities (4.7%), and investment (4.9%).

On the other hand, several factors drive the Asia Pacific AI in the clinical settings market, including a rapidly growing healthcare sector, a large population, and rising healthcare costs. The increasing prevalence of chronic diseases and government initiatives and policies supporting AI adoption are accelerating market growth.  For instance, India reported 37,416 cases of prostate cancer in 2016, and by 2020, that number had risen to 41,532 cases. By 2025, the incidence of prostate cancer is predicted to rise to over 47,000 cases. This figure represents approximately 3% of all cancer cases in the nation. Additionally, in India, the average age at which prostate cancer occurs is 69.7 years.  Moreover, rising disposable incomes and growing awareness of AI's benefits among healthcare providers and patients are contributing to the regional market expansion.

Key developments in AI in clinical settings market:

• In February 2024, Elsevier launched ClinicalKey AI, a groundbreaking clinical decision support tool in the US that combines the most trusted medical content with advanced generative AI. This innovative tool, part of Health, a global leader in medical information and data analytics, is designed to assist clinicians at the point of care.
• In January 2024, Accenture made a strategic investment, through Accenture Ventures, in QuantHealth, an AI-powered clinical trial design company that simulates clinical trials in the cloud, enabling pharmaceutical and biotech companies to develop treatments for patients more quickly and cost-effectively.
• In May 2023, NVIDIA partnered with Medtronic, the world's largest healthcare technology company, to speed the pace of AI in the health system and introduce new AI-based solutions into the care of patients.

AI in clinical settings market scope:

Report Metric	Details
Growth Rate	CAGR of 37.5%
Study Period	2020 to 2030
Historical Data	2020 to 2023
Base Year	2024
Forecast Period	2025 – 2030
Forecast Unit (Value)	USD Billion
Segmentation	Technology End-User Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in AI in Clinical Settings Market	IQVIA AiCure Google Health DeepScribe Siemens Healthineers
Customization Scope	Free report customization with purchase

 

The AI in clinical settings market is segmented and analyzed as follows:

• By Technology
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Robotics
• By End-User
  • Hospitals and Clinics
  • Pharmaceutical and Biotechnology Companies
  • Medical Device Companies
  • Research Institutions
• By Geography
  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Rest of the Middle East and Africa
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Taiwan
    • Thailand
    • Indonesia
    • Rest of Asia-Pacific

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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 stakeholders

2. RESEARCH METHODOLOGY  

2.1. Research Design

2.2. Research Process

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. The Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

5. AI IN CLINICAL SETTINGS MARKET BY TECHNOLOGY

5.1. Introduction

5.2. Machine Learning

5.3. Natural Language Processing

5.4. Computer Vision

5.5. Robotics

6. AI IN CLINICAL SETTINGS MARKET BY END-USER

6.1. Introduction

6.2. Hospitals and Clinics

6.3. Pharmaceutical and Biotechnology Companies

6.4. Medical Device Companies

6.5. Research Institutions

7. AI IN CLINICAL SETTINGS MARKET BY GEOGRAPHY

7.1. Global Overview

7.2. North America

7.2.1. United States

7.2.2. Canada

7.2.3. Mexico

7.3. South America

7.3.1. Brazil

7.3.2. Argentina

7.3.3. Rest of South America

7.4. Europe

7.4.1. United Kingdom

7.4.2. Germany

7.4.3. France

7.4.4. Italy

7.4.5. Spain

7.4.6. Rest of Europe

7.5. Middle East and Africa

7.5.1. Saudi Arabia

7.5.2. United Arab Emirates

7.5.3. Rest of the Middle East and Africa

7.6. Asia-Pacific

7.6.1. China

7.6.2. India

7.6.3. Japan

7.6.4. South Korea

7.6.5. Taiwan

7.6.6. Thailand

7.6.7. Indonesia

7.6.8. Rest of Asia-Pacific

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

8.1. Major Players and Strategy Analysis

8.2. Market Share Analysis

8.3. Mergers, Acquisitions, Agreements, and Collaborations

8.4. Competitive Dashboard

9. COMPANY PROFILES

9.1. IQVIA

9.2. AiCure

9.3. Google Health

9.4. DeepScribe

9.5. Siemens Healthineers

9.6. Nuance Communications

9.7. Care.ai

9.8. Qure AI

9.9. NVIDIA

9.10. Arm

IQVIA

AiCure

Google Health

DeepScribe

Siemens Healthineers

Nuance Communications

Care.ai

Qure AI

NVIDIA

Arm