Artificial Intelligence in Healthcare Diagnosis Market by Component (Hardware, Services, Software), Technology (Computer Vision, Context-Aware Computing, Machine Learning), Application, End-user - Global Forecast 2024-2030

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[189 Pages Report] The Artificial Intelligence in Healthcare Diagnosis Market size was estimated at USD 2.10 billion in 2023 and expected to reach USD 2.53 billion in 2024, at a CAGR 21.23% to reach USD 8.08 billion by 2030.

AI in healthcare diagnosis uses technologies, including ML, to process and analyze data related to medical diagnosis. The ability of artificial intelligence (AI) to quickly process enormous amounts of data, identify patterns, and make more accurate diagnoses promptly than doctors have increased the use of AI in healthcare diagnosis. The growing implementation of artificial intelligence and robotics in the healthcare sector, transfigurating medical science, and accelerating investments by government and private sectors in artificial intelligence, have been promoting the use of AI in healthcare diagnosis. However, the need for more trained professionals, expertise in artificial intelligence, and data privacy concerns about using AI in hospitals and clinics impede their utmost usage. Market players are focused on technological development and privacy updation of AI in imaging & diagnosis to overcome these limitations. By using artificial intelligence in healthcare diagnosis, medical professionals are able to take more informed decisions based on more accurate information while saving time, reducing costs, and improving medical records management.

Europe is expected to see a vital increase in the use of AI in healthcare diagnosis, characterized by the increasing number of advances in healthcare diagnostic technologies held in the region and AI use initiatives developed by the public healthcare authorities. The Middle East region also witnesses a rise in the establishment of smart hospitals across Saudi Arabia, UAE, and Israel, driving the potential to use AI to diagnose diseases. The Americas is home to many established AI technology providers constantly working on expanding their healthcare knowledge to upgrade their existing portfolio. AI-based diagnostic devices and systems are widely used across the U.S. and Canada to attain real-time and faster results. The Asia-Pacific region observes a slow and steady increase in AI adoption of healthcare diagnosis, with many digital transformation initiatives, healthcare startups, and diagnostic laboratories obtaining new funds for breakthrough diagnostic solutions.

Artificial Intelligence in Healthcare Diagnosis Market
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Market Dynamics

The market dynamics represent an ever-changing landscape of the Artificial Intelligence in Healthcare Diagnosis Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

  • Market Drivers
    • Rising adoption of artificial intelligence in healthcare research areas
    • Increasing adoption of advanced disease diagnostic solutions
    • Growing potential for AI-based tools and software for the geriatric population
  • Market Restraints
    • Shortage of trained professionals and expertise in artificial intelligence for the medical industry
  • Market Opportunities
    • Accelerating investments by government and private sectors in artificial intelligence
    • Proliferation in government approvals for AI-based healthcare diagnosis tools
  • Market Challenges
    • Concern regarding medical data privacy and the guidelines for regulatory compliance

Porter’s Five Forces Analysis

The porter's five forces analysis offers a simple and powerful tool for understanding, identifying, and analyzing the position, situation, and power of the businesses in the Artificial Intelligence in Healthcare Diagnosis Market. This model is helpful for companies to understand the strength of their current competitive position and the position they are considering repositioning into. With a clear understanding of where power lies, businesses can take advantage of a situation of strength, improve weaknesses, and avoid taking wrong steps. The tool identifies whether new products, services, or companies have the potential to be profitable. In addition, it can be very informative when used to understand the balance of power in exceptional use cases.

Market Share Analysis

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Artificial Intelligence in Healthcare Diagnosis Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Artificial Intelligence in Healthcare Diagnosis Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Recent Developments

  • Vuno Gets US Patent for AI Medical Image Analysis Technology

    VUNO Inc., a company developing AI-based medical image analysis technologies, recently made strides in the healthcare industry. The company received a U.S. patent for its AI-based medical image analysis technology that facilitates the automated diagnosis of medical images and supports physicians’ decisions with real-time imaging information. Vuno’s AI-based algorithms are designed to identify potential abnormalities and provide accurate predictions, resulting in improved diagnostic accuracy and reduced costs. This innovative technology is a promising advancement for healthcare providers looking to leverage the power of artificial intelligence to deliver quality patient care. [Published On: April 23, 2023]

  • CLIRNET Launches India's First AI-Powered Doctor's Assistant (AiDA)

    Artificial intelligence has revolutionized the healthcare industry with its rapid advances in diagnosis. ClirNet, an AI-powered healthcare diagnostics platform, made a giant leap forward on World Health Day by launching India's first AI-driven diagnostics engine to assist medical professionals in making accurate decisions. This new technology helps reduce the time and costs associated with diagnosis, providing more accurate results. With this launch, ClirNet is poised to make a significant impact on the Indian healthcare system in the years to come. [Published On: April 07, 2023]

  • UK Government Invests GBP 16 Million in AI Healthcare Technologies to Help Speed Up Diagnostics

    AI is essential tool for healthcare providers as the UK government has recently invested GPB 16 million in AI healthcare technologies to help speed up diagnostics. From developing more accurate disease diagnoses to detecting cancer earlier, AI-based healthcare diagnosis has the potential to revolutionize the industry, reducing the time and cost associated with diagnosis and treatment. This investment is anticipated to pave the way for further development of AI research and progress in healthcare, reducing reliance on manual labor and enabling better patient care. [Published On: March 03, 2023]

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Artificial Intelligence in Healthcare Diagnosis Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Healthcare Diagnosis Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Advanced Micro Devices, Inc, Aidence B.V., Aidoc Medical Ltd., Amazon Web Services, Inc., Apixo, Inc., Appinventiv Technologies Pvt. Ltd., Arterys Inc., Butterfly Network, Inc., Caption Health, Inc., CloudMedx Inc., Day Zero Diagnostics Inc., Digital Diagnostics Inc., EchoNous Inc., Enlitic, Inc, GE HealthCare Technologies Inc., Google LLC, HeartFlow, Inc., Intel Corporation, International Business Machines Corporation, Koninkliike Philips N.V., Lunit Inc., Medtronic PLC, Microsoft Corporation, Nano-X Imaging Ltd., NovaSignal Corporation, Nvidia Corporation, Prognos Health Inc., Siemens Healthcare Private Limited, SolutionChamps Technologies Pvt. Ltd., and Sophia Genetics S A.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Healthcare Diagnosis Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Component
    • Hardware
    • Services
    • Software
  • Technology
    • Computer Vision
    • Context-Aware Computing
    • Machine Learning
    • Natural Language Processing
  • Application
    • Cardiology
    • Chest & Lung Scanning
    • Neurology
    • Oncology
    • Pathology
    • Radiology
  • End-user
    • Academic Institutions & Research Center
    • Diagnostic Center
    • Hospitals

  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

This research report offers invaluable insights into various crucial aspects of the Artificial Intelligence in Healthcare Diagnosis Market:

  1. Market Penetration: This section thoroughly overviews the current market landscape, incorporating detailed data from key industry players.
  2. Market Development: The report examines potential growth prospects in emerging markets and assesses expansion opportunities in mature segments.
  3. Market Diversification: This includes detailed information on recent product launches, untapped geographic regions, recent industry developments, and strategic investments.
  4. Competitive Assessment & Intelligence: An in-depth analysis of the competitive landscape is conducted, covering market share, strategic approaches, product range, certifications, regulatory approvals, patent analysis, technology developments, and advancements in the manufacturing capabilities of leading market players.
  5. Product Development & Innovation: This section offers insights into upcoming technologies, research and development efforts, and notable advancements in product innovation.

Additionally, the report addresses key questions to assist stakeholders in making informed decisions:

  1. What is the current market size and projected growth?
  2. Which products, segments, applications, and regions offer promising investment opportunities?
  3. What are the prevailing technology trends and regulatory frameworks?
  4. What is the market share and positioning of the leading vendors?
  5. What revenue sources and strategic opportunities do vendors in the market consider when deciding to enter or exit?

Table of Contents
  1. Preface
  2. Research Methodology
  3. Executive Summary
  4. Market Overview
  5. Market Insights
  6. Artificial Intelligence in Healthcare Diagnosis Market, by Component
  7. Artificial Intelligence in Healthcare Diagnosis Market, by Technology
  8. Artificial Intelligence in Healthcare Diagnosis Market, by Application
  9. Artificial Intelligence in Healthcare Diagnosis Market, by End-user
  10. Americas Artificial Intelligence in Healthcare Diagnosis Market
  11. Asia-Pacific Artificial Intelligence in Healthcare Diagnosis Market
  12. Europe, Middle East & Africa Artificial Intelligence in Healthcare Diagnosis Market
  13. Competitive Landscape
  14. List of Figures [Total: 23]
  15. List of Tables [Total: 385]
  16. List of Companies Mentioned [Total: 31]
Frequently Asked Questions
  1. How big is the Artificial Intelligence in Healthcare Diagnosis Market?
    Ans. The Global Artificial Intelligence in Healthcare Diagnosis Market size was estimated at USD 2.10 billion in 2023 and expected to reach USD 2.53 billion in 2024.
  2. What is the Artificial Intelligence in Healthcare Diagnosis Market growth?
    Ans. The Global Artificial Intelligence in Healthcare Diagnosis Market to grow USD 8.08 billion by 2030, at a CAGR of 21.23%
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