HEALTHCARE
Global Artificial Intelligence in Diagnostics Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Artificial Intelligence in Diagnostics Market, By Component (Software, Services, and Hardware), Application (In Vivo diagnostics and In Vitro diagnostics), End User (Hospitals, Diagnostics Imaging Centers, Diagnostics Laboratories, and Other End User), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
The global artificial intelligence in diagnostics market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.
The use of powerful computing algorithms and machine learning techniques to analyse medical data and aid healthcare practitioners in detecting diseases, ailments, or abnormalities is referred to as artificial intelligence (AI) in diagnostics. AI is critical in improving the accuracy, efficiency, and speed of diagnostic processes in a variety of medical domains.
AI integration in diagnostics has the potential to revolutionize healthcare by boosting diagnostic accuracy, reducing errors, and allowing for early disease identification. To maximize their benefits, AI technologies must be tested, ethically deployed, and seamlessly incorporated into existing healthcare workflows.
Market Dynamics
DRIVERS
- Increasing demand for AI-based solutions
- Increased government funding for AI-based solutions
RESTRAINTS
- Inadequate Al workforce
- High cost of solutions and services
OPPORTUNITIES
- Untapped emerging markets
- Rising focus of AI-based technological advancements
CHALLENGES
- Hesitancy to adopt AI-based technologies
- Ambiguous regulatory guidelines for medical software
SEGMENTATION
MARKET SEGMENTATION
- Component
- Software
- Services
- Hardware
- Processors
- MPU
- GPU
- FPGA
- ASIC
- Memory
- Networks
- Adapters
- Switches
- Interconnects
- Application
- In Vivo diagnostics
- By Specialty
- Radiology
- Cardiology
- Neurology
- Obstetrics/gynecology
- Ophthalmology
- Other specialties
- By Modality
- Computed tomography
- X- Ray
- Magnetic resonance imaging
- Ultrasound
- Other modalities
- In Vitro diagnostics
- End User
- Hospitals
- Diagnostics Imaging Centers
- Diagnostics Laboratories
- Other End User
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, and segments as per the client requirements.
REGIONAL SEGMENTATION
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Microsoft
- NVIDIA Corporation
- Merative
- Intel Corporation
- Siemens Healthineers
- GE HealthCare
- Digital Diagnostics Inc.
- Advanced Micro Devices, Inc.
- InformAl
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Artificial Intelligence in Diagnostics Market, by Component
- 3.2 Global Artificial Intelligence in Diagnostics Market, by Application
- 3.3 Global Artificial Intelligence in Diagnostics Market, by End User
- 3.4 Global Artificial Intelligence in Diagnostics Market, by Geography
- 3.5 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Trend 1
- 5.1.2 Trend 2
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Increasing demand for AI-based solutions
- 5.2.2 Increased government funding for AI-based solutions
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 Inadequate Al workforce
- 5.3.2 High cost of solutions and services
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Untapped emerging markets
- 5.4.2 Rising focus of AI-based technological advancements
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Hesitancy to adopt AI-based technologies
- 5.5.2 Ambiguous regulatory guidelines for medical software
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET, BY COMPONENT
- 6.1 Component Summary
- 6.2 Market Attractive Index
- 6.3 Global Artificial Intelligence in Diagnostics Market, by Component (2019-2032)
- SECTION 7 - GLOBAL ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET, BY APPLICATION
- 7.1 Application Summary
- 7.2 Market Attractive Index
- 7.3 Global Artificial Intelligence in Diagnostics Market, by Application (2019-2032)
- SECTION 8 - GLOBAL ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET, BY END USER
- 8.1 End User Summary
- 8.2 Market Attractive Index
- 8.3 Global Artificial Intelligence in Diagnostics Market, by End User (2019-2032)
- SECTION 9 - GLOBAL ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET, BY GEOGRAPHY
- 9.1 Regional Summary
- 9.2 Market Attractive Index
- 9.3 Global Artificial Intelligence in Diagnostics Market, by Geography (2019-2032)
- SECTION 10 - NORTH AMERICA ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET
- 10.1 North America Summary
- 10.2 Market Attractive Index
- 10.3 North America Artificial Intelligence in Diagnostics Market, by Component (2019-2032)
- 10.4 North America Artificial Intelligence in Diagnostics Market, by Application (2019-2032)
- 10.5 North America Artificial Intelligence in Diagnostics Market, by End User (2019-2032)
- 10.6 North America Artificial Intelligence in Diagnostics Market, by Country (2019-2032)
- 10.6.1 U.S.
- 10.6.2 Canada
- 10.6.3 Mexico
- 10.6.4 Rest of North America
- SECTION 11 - EUROPE ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET
- 11.1 Europe Summary
- 11.2 Market Attractive Index
- 11.3 Europe Artificial Intelligence in Diagnostics Market, by Component (2019-2032)
- 11.4 Europe Artificial Intelligence in Diagnostics Market, by Application (2019-2032)
- 11.5 Europe Artificial Intelligence in Diagnostics Market, by End User (2019-2032)
- 11.6 Europe Artificial Intelligence in Diagnostics Market, by Country (2019-2032)
- 11.6.1 Germany
- 11.6.2 U.K.
- 11.6.3 France
- 11.6.4 Italy
- 11.6.5 Spain
- 11.6.6 Russia
- 11.6.7 The Netherlands
- 11.6.8 Belgium
- 11.6.9 Turkey
- 11.6.10 Rest of Europe
- SECTION 12 - ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET
- 12.1 Asia-Pacific Summary
- 12.2 Market Attractive Index
- 12.3 Asia-Pacific Artificial Intelligence in Diagnostics Market, by Component (2019-2032)
- 12.4 Asia-Pacific Artificial Intelligence in Diagnostics Market, by Application (2019-2032)
- 12.5 Asia-Pacific Artificial Intelligence in Diagnostics Market, by End User (2019-2032)
- 12.6 Asia-Pacific Artificial Intelligence in Diagnostics Market, by Country (2019-2032)
- 12.6.1 China
- 12.6.2 India
- 12.6.3 Japan
- 12.6.4 South Korea
- 12.6.5 Singapore
- 12.6.6 Malaysia
- 12.6.7 Australia
- 12.6.8 Thailand
- 12.6.9 Philippines
- 12.6.10 Rest of Asia-Pacific
- SECTION 13 - SOUTH AMERICA ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET
- 13.1 South America Summary
- 13.2 Market Attractive Index
- 13.3 South America Artificial Intelligence in Diagnostics Market, by Component (2019-2032)
- 13.4 South America Artificial Intelligence in Diagnostics Market, by Application (2019-2032)
- 13.5 South America Artificial Intelligence in Diagnostics Market, by End User (2019-2032)
- 13.6 South America Artificial Intelligence in Diagnostics Market, by Country (2019-2032)
- 13.6.1 Brazil
- 13.6.2 Argentina
- 13.6.3 Chile
- 13.6.4 Colombia
- 13.6.5 Rest of South America
- SECTION 14 - MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET
- 14.1 Middle East and Africa Summary
- 14.2 Market Attractive Index
- 14.3 Middle East and Africa Artificial Intelligence in Diagnostics Market, by Component (2019-2032)
- 14.4 Middle East and Africa Artificial Intelligence in Diagnostics Market, by Application (2019-2032)
- 14.5 Middle East and Africa Artificial Intelligence in Diagnostics Market, by End User (2019-2032)
- 14.6 Middle East and Africa Artificial Intelligence in Diagnostics Market, by Country (2019-2032)
- 14.6.1 Kingdom of Saudi Arabia
- 14.6.2 South Africa
- 14.6.3 U.A.E.
- 14.6.4 Egypt
- 14.6.5 Rest of Middle East and Africa
- SECTION 15 - COMPANY SHARE ANALYSIS
- 15.1 Global Artificial Intelligence in Diagnostics Market, Company Share Analysis
- 15.2 North America Artificial Intelligence in Diagnostics Market, Company Share Analysis
- 15.3 Europe Artificial Intelligence in Diagnostics Market, Company Share Analysis
- 15.4 Asia-Pacific Artificial Intelligence in Diagnostics Market, Company Share Analysis
- SECTION 16 - COMPANY PROFILES
- 16.1 Microsoft
- 16.1.1 Company Snapshot
- 16.1.2 Financial Overview
- 16.1.3 Product Portfolio
- 16.1.4 Recent Developments
- 16.2 NVIDIA Corporation
- 16.2.1 Company Snapshot
- 16.2.2 Financial Overview
- 16.2.3 Product Portfolio
- 16.2.4 Recent Developments
- 16.3 Merative
- 16.3.1 Company Snapshot
- 16.3.2 Financial Overview
- 16.3.3 Product Portfolio
- 16.3.4 Recent Developments
- 16.4 Intel Corporation
- 16.4.1 Company Snapshot
- 16.4.2 Financial Overview
- 16.4.3 Product Portfolio
- 16.4.4 Recent Developments
- 16.5 Google
- 16.5.1 Company Snapshot
- 16.5.2 Financial Overview
- 16.5.3 Product Portfolio
- 16.5.4 Recent Developments
- 16.6 Siemens Healthineers
- 16.6.1 Company Snapshot
- 16.6.2 Financial Overview
- 16.6.3 Product Portfolio
- 16.6.4 Recent Developments
- 16.7 GE HealthCare
- 16.7.1 Company Snapshot
- 16.7.2 Financial Overview
- 16.7.3 Product Portfolio
- 16.7.4 Recent Developments
- 16.8 Digital Diagnostics Inc.
- 16.8.1 Company Snapshot
- 16.8.2 Financial Overview
- 16.8.3 Product Portfolio
- 16.8.4 Recent Developments
- 16.9 Advanced Micro Devices, Inc.
- 16.9.1 Company Snapshot
- 16.9.2 Financial Overview
- 16.9.3 Product Portfolio
- 16.9.4 Recent Developments
- 16.10 InformAl
- 16.10.1 Company Snapshot
- 16.10.2 Financial Overview
- 16.10.3 Product Portfolio
- 16.10.4 Recent Developments
- SECTION 17 - RELATED REPORTS
- SECTION 18 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.