Ultra Market Research | Artificial intelligence in diagnostics market
Artificial intelligence in diagnostics market
Report ID : 917
Category : Medical-Devices,Healthcare-Services
No Of Pages : 110
Published on: January 2025
Status: Published
Format :
Key Question Answer
Global Market Outlook
In-depth analysis of global and regional trends
Analyze and identify the major players in the market, their market share, key developments, etc.
To understand the capability of the major players based on products offered, financials, and strategies.
Identify disrupting products, companies, and trends.
To identify opportunities in the market.
Analyze the regional penetration of players, products, and services in the market.
Comparison of major players financial performance.
Evaluate strategies adopted by major players.
Recommendations
Introduction Artificial Intelligence (AI) in the Diagnostics Market refers to the incorporation of AI technologies into diagnostic procedures to enhance accuracy, efficiency, and decision-making. Applications range from medical imaging analysis, pathology detection, and genomic diagnostics to predictive analytics. With recent advancements, AI-driven diagnostic tools are being adopted widely to improve early disease detection and personalized treatment strategies. Current estimates of the market place the figure at about USD 4.2 billion in 2023, growing at a CAGR of 27% over the next decade with growing demand for innovative healthcare solutions and improvements in algorithms in machine learning.
Segmentation By Technology • Machine Learning o Supervised Learning Decision Trees Support Vector Machines Others o Unsupervised Learning Clustering Algorithms Neural Networks o Reinforcement Learning
• Natural Language Processing o Text-Based Processing Clinical Notes Analysis Electronic Health Records (EHR) Insights o Speech Recognition
• Computer Vision o Medical Imaging Radiology Pathology o Image Segmentation 3D Imaging Pattern Recognition
• Others
By Application • Medical Imaging o Radiology X-Ray Analysis MRI Scans o Cardiology Imaging Echocardiograms o Oncology Imaging
• Pathology o Histopathology o Cytopathology • Genomics o Genetic Disorder Detection o Pharmacogenomics
• Predictive Diagnostics o Disease Risk Assessment o Patient Outcome Prediction
• Others
By End-User • Hospitals o Tertiary Care Centers o Specialty Hospitals
• Diagnostic Centers o Standalone Diagnostic Labs o Chain Diagnostic Labs
• Research Institutes
List of Market Players 1. IBM Watson Health (United States) 2. Google Health (United States) 3. Siemens Healthineers (Germany) 4. Philips Healthcare (Netherlands) 5. GE Healthcare (United States) 6. Zebra Medical Vision (Israel) 7. Aidoc (Israel) 8. Tempus Labs (United States) 9. PathAI (United States) 10. Enlitic (United States) 11. Viz.ai (United States) 12. Butterfly Network (United States) 13. Freenome (United States) 14. Arterys (United States) 15. Qure.ai (India)
Drivers The Artificial Intelligence in Diagnostics Market is driven by rapid technological advancements, an increase in the prevalence of chronic diseases, and growing investments in healthcare digitization. AI systems significantly reduce diagnostic errors and enhance clinical outcomes by providing precise and actionable insights. The rising adoption of AI in imaging modalities, genomics, and laboratory workflows further drives demand. Governments and private organizations are investing in AI initiatives to decrease healthcare costs and enhance patient outcomes. Furthermore, the trend of value-based healthcare systems across the globe is increasing the importance of AI-based diagnostics
Restraints Despite these benefits, the market is hindered by high initial investment costs and a lack of standardized regulations for AI implementation in healthcare. Interoperability between AI platforms and existing hospital systems is also limited, which creates barriers to seamless integration. Data privacy and security concerns also prevent adoption, especially in regions with strict healthcare compliance requirements. In addition, the lack of skilled personnel to operate and interpret AI-driven diagnostics limits market growth
Opportunity Emerging markets are one of the most promising growth grounds for AI in diagnostics since digital health technologies are increasingly penetrating these markets. Explainable AI models will enhance trust and adoption by healthcare professionals. Next, while telemedicine continues to advance, AI is integrated into wearable devices that use real-time diagnostics for applications. Finally, increased tech company collaborations with healthcare providers will drive innovation and create some promising areas for market expansion
Trend Newest additions to the markets include federated learning, the ability to run AI models, train on the decentralized dataset in a privacy-conserving way related to patient info. In turn, the combined imaging-genomics-clinics multi-modal approaches are promising methods for whole organism diagnostics. Future areas of applications include digital pathology and surgical diagnosis with the involvement of augmented reality. It's further reshaping the industry landscape, considering that blockchain can now be used in integrating with rare disease diagnostics, securing data sharing, and whatnot
Approved Products Pipeline • IBM Watson for Oncology • Google’s DeepMind for Retinal Diseases • Siemens AI-Rad Companion • Zebra Medical Vision AI Suite • Aidoc Brain and Spine Detection Tools • Butterfly iQ+ Handheld Ultrasound • Viz.ai Stroke Detection Platform • Tempus xT Genomic Test • PathAI’s Digital Pathology Tools • Freenome’s AI-Powered Screening Solutions
Key Target Audience • Hospitals and Clinics • Diagnostic Laboratories • Research Institutions • AI Technology Providers • Government Health Departments • Medical Device Manufacturers • Academic Institutions • Healthcare IT Companies
FAQs
A1: The market size is valued at USD 4.2 billion in 2023.
A2: Accuracy in diagnostics, reduced errors, and growing healthcare digitization are key drivers.
A3: High costs, regulatory challenges, and data privacy concerns hinder growth.
A4: North America and Asia-Pacific regions demonstrate significant growth opportunities.
A5: Federated learning, multi-modal diagnostics, and AI in digital pathology are notable trends.
Report Description:
Briefly describe the purpose and scope of the report. State the key objectives and target audience. Research Methodology: Data Mining: Explain the sources of data used (market research databases, company reports, clinical trials, etc.) and the methods employed for data collection and extraction.
Market Modeling and Forecasting: Describe the techniques used for market size estimation, growth rate projections, and trend analysis (e.g., regression analysis, time series analysis). Data Validation: Explain the procedures used to ensure the accuracy and reliability of the data (e.g., cross-checking with multiple sources, expert interviews). Industry Analysis* Describe the methods used to analyze the competitive landscape, identify key players, and assess their market positions.
Market Dashboard This section could include a concise overview of key market metrics presented in an easily digestible format (e.g., charts, graphs) for quick reference.
Market Overview
Market Definition and Scope:Define ATTR-CM and delineate the scope of the market under investigation (e.g., geographical boundaries, specific patient populations). Market Segmentation:
By Treatment Type: Pharmacological Therapies (Tafamidis, Diflunisal, NSAIDs, Others) Gene Silencing Therapies (Patisiran, Inotersen) Supportive Therapies (Beta-blockers, Diuretics, Anti-arrhythmic drugs) Diagnostics (Imaging Techniques: Echocardiography, Cardiac MRI, Nuclear Imaging, Others; Biomarker Testing: NT-proBNP, Troponin, Others; Genetic Testing: Mutation Analysis, Family History Testing) By End-User: Hospitals and Clinics (Cardiology Departments, Specialty Clinics) Diagnostic Laboratories (Independent Laboratories, Hospital-Affiliated Labs) Research and Academic Institutes By Distribution Channel: Hospital Pharmacies (Inpatient Dispensing, Specialty Drug Distribution) Retail Pharmacies (Chain Pharmacies, Standalone Pharmacies) Online Pharmacies By Geography North America (United States, Canada) Europe (Germany, France, United Kingdom, Rest of Europe) Asia Pacific (China, Japan, India, Southeast Asia, Rest of Asia Pacific) Latin America (Brazil, Rest of Latin America) Middle East & Africa (MEA) (GCC, North Africa, South Africa, Rest of Middle East & Africa) Market Dynamics: Drivers: Factors driving market growth (e.g., increasing prevalence of ATTR-CM, advancements in treatment options, rising healthcare expenditure). Restraints: Factors hindering market growth (e.g., high cost of therapies, limited access to healthcare in certain regions, lack of awareness about ATTR-CM). Opportunities: Potential areas for market expansion (e.g., development of novel therapies, untapped emerging markets, personalized medicine approaches). Challenges: Obstacles to market growth (e.g., reimbursement challenges, regulatory hurdles, competition from generic drugs).
Global ATTR-CM Market by Treatment Type
Introduction: Overview of the treatment landscape for ATTR-CM. Market Size and Growth Rate by Treatment Type (2024-2030) Detailed analysis of each treatment type within the segmentation mentioned in 3.2.1. Market size and growth rate projections for each sub-segment.
Global ATTR-CM Market by End-User
Introduction: Overview of the key end-users in the ATTR-CM market. Market Size and Growth Rate by End-User (2024-2030): Detailed analysis of each end-user segment within the segmentation mentioned in 3.2.2. Market size and growth rate projections for each sub-segment.
Global ATTR-CM Market by Distribution Channel
Introduction: Overview of the distribution channels for ATTR-CM therapies and diagnostics. Market Size and Growth Rate by Distribution Channel (2024-2030): Detailed analysis of each distribution channel within the segmentation mentioned in 3.2.3. Market size and growth rate projections for each sub-segment.
Global ATTR-CM Market by Geography
Introduction: Overview of the regional variations in the ATTR-CM market. Market Size and Growth Rate by Region (2024-2030): Detailed analysis of each region and key countries within each region as mentioned in 3.2.4. Market size and growth rate projections for each region and key countries.
Competitive Landscape
Company Profiles: In-depth analysis of key players in the ATTR-CM market (e.g., Pfizer, Alnylam Pharmaceuticals, Eidos Therapeutics, Ionis Pharmaceuticals, BridgeBio Pharma, AstraZeneca, GlaxoSmithKline, Johnson & Johnson, Novartis, Sanofi, Prothena Corporation, Regeneron Pharmaceuticals, Merck & Co., Amgen, Bristol-Myers Squibb). Business Overview: Company history, mission, and overall business strategy. Product Portfolio: Detailed description of key products/therapies offered in the ATTR-CM market. Strategic Developments: Recent mergers, acquisitions, partnerships, collaborations, and product launches. Financial Overview: Key financial metrics (revenue, market share, profitability).
List of Tables and Figures
Include a comprehensive list of all tables and figures presented in the report.
This outline provides a general framework. The specific sections and sub-sections may need to be adjusted based on the scope and depth of the research.
Research Methodology
The process of market research at Ultra Market Research is an iterative in application and usually follows following path. Information from secondary used to build data models, then results from data models are validated from primary participants. Then cycle repeats where, according to inputs from primary participants, additional secondary research is done, and new Information is again incorporated into data model. The process continues till desired level of Information is not generated
To calculate the market size, the report considers the revenue generated from the sales of Ultra Market Research providers. The revenue generated from the sales of Ultra Market Research has been calculated through primary and secondary research. The report also presents the key players operating in the Ultra Market Research market across the globe identified through secondary research and a corresponding detailed analysis of the top vendors in the market. The market size calculation also includes distribution channel segmentation determined using secondary sources and verified through primary sources.
Secondary Research
The secondary research source that are typically referred to include, but are not limited to:
Company websites, annual reports, financial reports, broker reports, investor presentations and SEC filings
Internal and external proprietary databases, relevant patent and regulatory databases
National government documents, statistical databases and market reports
News articles, press releases and web-casts specific to the companies operating in the market
The source for secondary research includes but is not limited to: Factiva, Hoovers and Statista
Inner Circle Represents – Stage of Research Process
Middle Circle Represents – Source of Information
Outer Circle Represents – Information Derived from that source
Primary Research We conduct primary interviews on an ongoing basis with industry participants and commentators in order to validate data and analysis. A typical research interview fulfills the following functions:
It provides first-hand Information on the market size, market trends, growth trends, competitive landscape, future outlook etc.
Helps in validating and strengthening the secondary research findings
Further develops the analysis team’s expertise and market understanding
Primary research involves E-mail interactions, telephonic interviews as well as face-to-face interviews for each market, category, segment and sub-segment across geographies
The participants who typically take part in such a process include, but are not limited to:
Industry participants: CEOs, VPs, marketing/ distribution channel managers, market intelligence managers and national sales managers
Purchasing managers, technical personnel, distributors and resellers
Outside experts: Investment bankers, valuation experts, research analysts specializing in specific markets
Key opinion leaders specializing in different areas corresponding to different industry distribution channels
Models Where no hard data is available, we use modeling and estimates in order to produce comprehensive data sets. A rigorous methodology is adopted in which the available hard data is cross referenced with the following data distribution channels to produce estimates:
Demographic data: Population split by segment
Macro-economic indicators: GDP, etc.
Industry indicators: Expenditure, distribution channel stage & infrastructure, sector growth and facilities.
Data is then cross checked by the expert panel.
2..1 Company Share Analysis Model
Company share analysis is used to derive the size of Global market. As well as study of revenues of companies for last three to five years also provide the base for forecasting the market size and its growth rate. This model is built in following steps: 2..2 Revenue Based Modeling
Revenue based models can be built in two ways – Top-Down or Bottom-Up irrespective of industry. Market size estimated from company share analysis acts as a validation point for bottom-up approach where as it acts as starting point for top-down approach.
2.1 Research Limitations Inflation is not a part of pricing in this report. Prices ofGlobal Endoscopes Market and its derivatives vary in each region and hence similar revenue ratio does not follow for each individual region. The same price for each distribution channel has been taken into account while estimating and forecasting market revenue Globally. Regional average price has been considered while breaking down this market by application in each region. This report provides market size ofGlobal Endoscopes Market for the past year and forecasts for the next six years.Global Endoscopes Market size is given in terms of revenue. Market revenue is defined in USD Million. Market numbers are given on the basis of differentGlobal Endoscopes Market categories. Market size and forecasts for each major application is provided in the context of Global market. The numbers provided in this report are derived on the basis of demand forGlobal Endoscopes Market from different application industries in different regions.
Segmentation By Technology • Machine Learning o Supervised Learning Decision Trees Support Vector Machines Others o Unsupervised Learning Clustering Algorithms Neural Networks o Reinforcement Learning
• Natural Language Processing o Text-Based Processing Clinical Notes Analysis Electronic Health Records (EHR) Insights o Speech Recognition
• Computer Vision o Medical Imaging Radiology Pathology o Image Segmentation 3D Imaging Pattern Recognition
• Others
By Application • Medical Imaging o Radiology X-Ray Analysis MRI Scans o Cardiology Imaging Echocardiograms o Oncology Imaging
• Pathology o Histopathology o Cytopathology • Genomics o Genetic Disorder Detection o Pharmacogenomics
• Predictive Diagnostics o Disease Risk Assessment o Patient Outcome Prediction
• Others
By End-User • Hospitals o Tertiary Care Centers o Specialty Hospitals
• Diagnostic Centers o Standalone Diagnostic Labs o Chain Diagnostic Labs
• Research Institutes
List of Market Players 1. IBM Watson Health (United States) 2. Google Health (United States) 3. Siemens Healthineers (Germany) 4. Philips Healthcare (Netherlands) 5. GE Healthcare (United States) 6. Zebra Medical Vision (Israel) 7. Aidoc (Israel) 8. Tempus Labs (United States) 9. PathAI (United States) 10. Enlitic (United States) 11. Viz.ai (United States) 12. Butterfly Network (United States) 13. Freenome (United States) 14. Arterys (United States) 15. Qure.ai (India)