AI-Assisted Diagnosis Market Trends and Forecast
The future of the global AI-assisted diagnosis market looks promising with opportunities in the visualization analysis, self diagnose, and predictive maintenance markets. The global AI-assisted diagnosis market is expected to grow with a CAGR of 22.4% from 2024 to 2030. The major drivers for this market are increasing demand for faster and accurate diagnosis and rising healthcare costs and need for efficiency.
• Lucintel forecasts that hardware is expected to witness higher growth over the forecast period.
• Within this market, visualization analysis is expected to witness the highest growth.
• APAC is expected to witness the highest growth over the forecast period.
Country Wise Outlook for the AI-Assisted Diagnosis Market
• United States: In the United States, companies like IBM Watson Health and Google Health have been actively developing AI-assisted diagnostic tools. IBM has partnered with major healthcare providers to integrate AI into radiology and oncology diagnostics, aiming to enhance accuracy and efficiency in medical imaging interpretation. Google Health has focused on leveraging AI for predictive analytics in healthcare, aiming to improve patient outcomes through early detection and personalized treatment plans.
• India: India has seen significant growth in AI-assisted diagnosis, with startups like SigTuple and Predible Health leading the charge. SigTuple uses AI for automated analysis of medical images like blood smears and urine samples, targeting efficiency in diagnostic processes. Predible Health focuses on AI-powered radiology solutions, aiming to reduce diagnostic errors and improve healthcare accessibility in rural areas.
• China: In China, major tech firms such as Tencent and Alibaba have invested heavily in AI-assisted healthcare. Tencent Medical AI Lab focuses on developing AI tools for disease prediction and diagnosis, while Alibaba Health has launched AI platforms for medical imaging and remote consultations, aiming to address healthcare disparities across China.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
AI-Assisted Diagnosis Market by Segment
The study includes a forecast for the global AI-assisted diagnosis market by type, application, and region.
AI-Assisted Diagnosis Market by Type [Value from 2018 to 2030]:
• Hardware
• Software
AI-Assisted Diagnosis Market by Application [Value from 2018 to 2030]:
• Visualization Analysis
• Self Diagnoses
• Predictive Maintenance
• Others
AI-Assisted Diagnosis Market by Region [Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of AI-Assisted Diagnosis Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI-assisted diagnosis companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI-assisted diagnosis companies profiled in this report include-
• Alphabet
• Cisco
• Dell
• GE
• IBM
• Intel
• MECHANICA AI BV
• Microsoft
• Oracle
• Uptake Technologies
Recent Development in the AI-Assisted Diagnosis Market
• Google Health : Google Health, through its subsidiary DeepMind Health, has been at the forefront of AI-assisted diagnosis. Their initiative includes developing AI algorithms that assist in medical image analysis, such as detecting diabetic retinopathy from retinal scans and predicting patient deterioration from electronic health records. GoogleÄX%$%Xs AI technologies aim to improve diagnostic accuracy and healthcare outcomes through machine learning advancements.
• IBM Watson Health : IBM Watson Health has pioneered AI-assisted diagnosis with Watson for Oncology, which provides evidence-based treatment recommendations for cancer patients. Watson analyzes vast amounts of medical literature, patient records, and genomic data to suggest personalized treatment options, aiming to enhance clinical decision-making and patient care outcomes.
• Zebra Medical Vision : Zebra Medical Vision specializes in AI-driven imaging analytics for early disease detection. Their initiative includes developing AI algorithms for radiology and pathology imaging interpretation, helping healthcare providers identify abnormalities and diseases like breast cancer and osteoporosis earlier and with higher accuracy.
• Arterys : Arterys focuses on AI-powered medical imaging software, particularly in cardiology with Cardio AI. Their initiative involves using deep learning algorithms to analyze cardiac MRI scans and CT scans, providing quantitative measurements and automated reports to cardiologists for faster and more accurate diagnosis of heart diseases.
Features of the Global AI-Assisted Diagnosis Market
Market Size Estimates: AI-assisted diagnosis market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI-assisted diagnosis market size by type, application, and region in terms of value ($B).
Regional Analysis: AI-assisted diagnosis market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI-assisted diagnosis market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI-assisted diagnosis market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the growth forecast for AI-assisted diagnosis market?
Answer: The global AI-assisted diagnosis market is expected to grow with a CAGR of 22.4% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI-assisted diagnosis market?
Answer: The major drivers for this market are increasing demand for faster and accurate diagnosis and rising healthcare costs and need for efficiency.
Q3. What are the major segments for AI-assisted diagnosis market?
Answer: The future of the AI-assisted diagnosis market looks promising with opportunities in the visualization analysis, self diagnose, and predictive maintenance markets.
Q4. Who are the key AI-assisted diagnosis market companies?
Answer: Some of the key AI-assisted diagnosis companies are as follows:
• Alphabet
• Cisco
• Dell
• GE
• IBM
• Intel
• MECHANICA AI BV
• Microsoft
• Oracle
• Uptake Technologies
Q5. Which AI-assisted diagnosis market segment will be the largest in future?
Answer: Lucintel forecasts that hardware is expected to witness higher growth over the forecast period.
Q6. In AI-assisted diagnosis market, which region is expected to be the largest in next 5 years?
Answer: APAC is expected to witness the highest growth over the forecast period.
Q7. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.
This report answers following 11 key questions:
Q.1. What are some of the most promising, high-growth opportunities for the AI-assisted diagnosis market by type (hardware and software), application (visualization analysis, self diagnoses, predictive maintenance, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
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