Global AI-assisted Diagnosis Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Global AI-assisted Diagnosis Market 2024 by Company, Regions, Type and Application, Forecast to 2030

According to our (Global Info Research) latest study, the global AI-assisted Diagnosis market size was valued at USD 8728.9 million in 2023 and is forecast to a readjusted size of USD 10740 million by 2030 with a CAGR of 3.0% during review period.

Clinical diagnosis mainly refers to the use of physics, chemistry and biology and other experimental methods to qualitative or quantitative analysis of various specimens, and then make a reliable judgment. In recent years, artificial intelligence has shone in the field of medical diagnosis, playing an important role in sample processing, morphological examination, examination results review and other processes, effectively reducing errors caused by the subjective nature of the diagnostic, improving the efficiency, and meeting the increasing quality requirements for diagnosis.

AI-Assisted Diagnosis is mainly divided into hardware products and software products, accounting for 77.82% and 22.08% of the global market share in 2019.

AI-Assisted Diagnosis is mainly used for Visualization Analysis, Self Diagnoses and Predictive Maintenance. In 2019, they accounted for 79.8%, 13.91% and 6.29% of the global market share respectively.

North America and Europe have been the main consumption areas in the past few years, accounting for 30.16% and 21% of the global market share respectively in 2019. China's market size is rising rapidly, accounting for about 25.78% in 2019.

Alibaba, Siemens, GE, Rockwell, Sany Heavy Industry, Intel, IBM, Microsoft, Cisco, Oracle, SAP, PSI Software, Uptake Technologies are the main suppliers in the global market. In 2019, the Top 5 accounted for 25.51% of the global market share.

The Global Info Research report includes an overview of the development of the AI-assisted Diagnosis industry chain, the market status of Chatbots (Software, Service), Oncology (Software, Service), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of AI-assisted Diagnosis.

Regionally, the report analyzes the AI-assisted Diagnosis markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global AI-assisted Diagnosis market, with robust domestic demand, supportive policies, and a strong manufacturing base.

Key Features:

The report presents comprehensive understanding of the AI-assisted Diagnosis market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the AI-assisted Diagnosis industry.

The report involves analyzing the market at a macro level:

Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Software, Service).

Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the AI-assisted Diagnosis market.

Regional Analysis: The report involves examining the AI-assisted Diagnosis market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.

Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the AI-assisted Diagnosis market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.

The report also involves a more granular approach to AI-assisted Diagnosis:

Company Analysis: Report covers individual AI-assisted Diagnosis players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.

Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards AI-assisted Diagnosis This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Chatbots, Oncology).

Technology Analysis: Report covers specific technologies relevant to AI-assisted Diagnosis. It assesses the current state, advancements, and potential future developments in AI-assisted Diagnosis areas.

Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the AI-assisted Diagnosis market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.

Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.

Market Segmentation

AI-assisted Diagnosis market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.

Market segment by Type
Software
Service

Market segment by Application
Chatbots
Oncology
Pathology
Rare Diseases Diagnosis
Others

Market segment by players, this report covers
Remedy Health
Subtle Medical
IBM
Microsoft
Google
Intel
Quid
BioSymetrics
Sensely
InformAI
SaliencyAI
Owkin
Binah.ai
Huawei
Huiying Medical Technology
Visual Medicine
Infervision
Tuma Shenwei
Wanliyun Medical Information Technology
YITU Tech
BioMind
AliHealth
PingAn Health

Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe AI-assisted Diagnosis product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of AI-assisted Diagnosis, with revenue, gross margin and global market share of AI-assisted Diagnosis from 2019 to 2024.

Chapter 3, the AI-assisted Diagnosis competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and AI-assisted Diagnosis market forecast, by regions, type and application, with consumption value, from 2025 to 2030.

Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of AI-assisted Diagnosis.

Chapter 13, to describe AI-assisted Diagnosis research findings and conclusion.