임상 현장의 AI 시장 : 예측(2025-2030년)

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.

AI in the clinical settings market drivers:

• 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.

AI in clinical settings market geographical outlook:

• 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.

Reasons for buying this report:-

• Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
• Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
• Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
• Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
• Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

• Historical data & forecasts from 2022 to 2030
• Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
• Competitive Positioning, Strategies, and Market Share Analysis
• Revenue Growth and Forecast Assessment of segments and regions including countries
• Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

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

TABLE OF CONTENTS

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