Artificial Intelligence in Healthcare Diagnosis
SKU
MRR-4103B31E04F5
Region
Global
Publication Date
March 2024
Delivery
Immediate
2023
USD 2.10 billion
2030
USD 8.08 billion
2024
USD 2.53 billion
CAGR
21.23%
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

[184 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.

Artificial Intelligence in Healthcare Diagnosis Market
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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.

Artificial Intelligence in Healthcare Diagnosis Market - Global Forecast 2024-2030
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Regional Insights

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.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Healthcare Diagnosis Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis 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: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Healthcare Diagnosis Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. 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 this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

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: 2023-04-23]

  • 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: 2023-04-07]

  • 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: 2023-03-03]

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

The report offers valuable insights on the following aspects:

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

  1. What is the market size and forecast of the Artificial Intelligence in Healthcare Diagnosis Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Healthcare Diagnosis Market?
  3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Healthcare Diagnosis Market?
  4. What is the market share of the leading vendors in the Artificial Intelligence in Healthcare Diagnosis Market?
  5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Healthcare Diagnosis Market?

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. Competitive Portfolio
Companies Mentioned
  • 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.
  • Sophia Genetics S A
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Frequently Asked Questions about the Artificial Intelligence in Healthcare Diagnosis Market
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.
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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