Pathology AI Software Market Trends and Forecast
The future of the global pathology AI software market looks promising with opportunities in the hospital, diagnostic center, and laboratory& research institute markets. The global pathology AI software market is expected to grow with a CAGR of 15.6% from 2024 to 2030. The major drivers for this market are increasing need for accurate and quick pathology diagnostics and rising funding and investment in healthcare infrastructure.
• Lucintel forecasts that cloud-based is expected to witness higher growth over the forecast period.
• Within this market, hospital is expected to witness the highest growth.
• APAC is expected to witness the highest growth over the forecast period.
Country Wise Outlook for the Pathology AI Software Market
• United States: Companies like Google Health and PathAI have been actively pursuing advancements in AI-driven pathology solutions. Google HealthÄX%$%Xs initiative includes collaborations with major healthcare institutions to enhance pathology diagnostics, leveraging AI to improve accuracy in cancer detection. PathAI, on the other hand, has partnered with pharmaceutical companies to integrate AI into drug development processes, aiming to accelerate the identification of therapeutic targets. The U.S. government has also shown support through initiatives such as the FDAÄX%$%Xs regulatory framework adaptations to accommodate AI-based medical devices, fostering innovation and market growth. Companies in the U.S. are targeting improved patient outcomes and operational efficiencies through AI, with investments in research and development aimed at expanding AI capabilities in pathology diagnostics.
• India: In India, the Pathology AI Software Market is emerging with initiatives from companies like Niramai Health Analytix and Qure.ai. Niramai focuses on AI-based breast cancer screening technologies, targeting early detection through thermal imaging and AI algorithms. Qure.ai has launched AI solutions for pathology that aim to automate diagnostic processes, enhancing efficiency and accuracy in healthcare delivery. The Indian government has supported these developments through initiatives promoting digital health technologies and AI adoption in healthcare, aiming to improve access and quality of healthcare services. Companies are targeting broader accessibility and affordability of AI-powered pathology solutions across diverse healthcare settings in India.
• China: In China, companies like Deepwise AI Lab and Infervision have made strides in AI pathology solutions. Deepwise AI Lab focuses on AI applications in medical imaging and pathology diagnostics, aiming to enhance diagnostic accuracy and efficiency (Source). Infervision has developed AI tools for radiology and pathology, supporting healthcare providers in improving diagnostic capabilities. The Chinese government has prioritized AI development in healthcare as part of its broader technology strategy, encouraging investments and partnerships to advance AI applications in pathology and medical imaging. Companies are aligning their targets with national health priorities to expand AI-driven pathology solutions across ChinaÄX%$%Xs healthcare ecosystem.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
Pathology AI Software Market by Segment
The study includes a forecast for the global pathology AI software market by type, application, and region.
Pathology AI Software Market by Type [Value from 2018 to 2030]:
• Cloud-Based
• On-Premise
Pathology AI Software Market by Application [Value from 2018 to 2030]:
• Hospitals
• Diagnostic Centers
• Laboratory& Research Institutes
Pathology AI Software Market by Region [Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of Pathology AI Software 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 pathology AI software companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the pathology AI software companies profiled in this report include-
• Proscia
• Aiforia
• Deep Bio
• Hologic
• Dipath
• Ideepwise
• Lbp
• F.Q Pathtech
• Cellavision
• PathAI
Recent Development in the Pathology AI Software Market
• Google Health: Google Health has been developing AI tools aimed at improving pathology diagnostics, particularly in breast cancer detection. Their initiative involves leveraging machine learning algorithms to analyze pathology images with high accuracy. This technology aims to assist pathologists in identifying and diagnosing breast cancer at an early stage, potentially improving patient outcomes through faster and more precise diagnoses.
• PathAI: PathAI, a leading provider of AI-powered pathology solutions, has collaborated with Bristol Myers Squibb to develop and apply AI tools in pathology. This collaboration focuses on enhancing the speed and accuracy of cancer diagnosis and prognosis using advanced machine learning techniques. The initiative aims to integrate AI into clinical workflows to support oncologists in making informed treatment decisions based on pathology data.
• DeepMind Health: DeepMind Health, a subsidiary of Alphabet (GoogleÄX%$%Xs parent company), has been developing AI algorithms for diagnosing kidney diseases from pathology images. Their initiative involves training neural networks to recognize patterns indicative of kidney diseases in biopsy samples. By automating and enhancing the analysis process, DeepMind Health aims to assist pathologists in providing timely and accurate diagnoses, thereby improving patient management and treatment outcomes.
• Paige.AI: Paige.AI has partnered with Memorial Sloan Kettering Cancer Center to develop AI-powered pathology tools focused on cancer diagnosis and research. Their initiative combines deep learning algorithms with extensive pathology data to improve the accuracy and efficiency of cancer detection. By leveraging AI, Paige.AI aims to streamline pathology workflows and facilitate personalized treatment strategies for cancer patients.
Features of the Global Pathology AI Software Market
Market Size Estimates: Pathology AI software market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: Pathology AI software market size by type, application, and region in terms of value ($B).
Regional Analysis: Pathology AI software 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 pathology AI software market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the pathology AI software market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the growth forecast for pathology AI software market?
Answer: The global pathology AI software market is expected to grow with a CAGR of 15.6% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the pathology AI software market?
Answer: The major drivers for this market are increasing need for accurate and quick pathology diagnostics and rising funding and investment in healthcare infrastructure.
Q3. What are the major segments for pathology AI software market?
Answer: The future of the pathology AI software market looks promising with opportunities in the hospital, diagnostic center, and laboratory& research institute markets.
Q4. Who are the key pathology AI software market companies?
Answer: Some of the key pathology AI software companies are as follows:
• Proscia
• Aiforia
• Deep Bio
• Hologic
• Dipath
• Ideepwise
• Lbp
• F.Q Pathtech
• Cellavision
• PathAI
Q5. Which pathology AI software market segment will be the largest in future?
Answer: Lucintel forecasts that cloud-based is expected to witness higher growth over the forecast period.
Q6. In pathology AI software 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 pathology AI software market by type (cloud-based and on-premise), application (hospital, diagnostic center, and laboratory& research institute), 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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