What is Global AI-Assisted Diagnosis Market?
The Global AI-Assisted Diagnosis Market is a rapidly evolving sector that leverages artificial intelligence (AI) to aid in the diagnosis of various medical conditions. This market is a convergence of technology and healthcare, where AI algorithms are used to analyze complex medical data and provide accurate diagnoses. The AI-assisted diagnosis market is not just limited to hospitals and clinics, but also extends to research institutions and pharmaceutical companies. The use of AI in diagnosis can significantly reduce the time taken to diagnose a condition, thereby improving patient outcomes. The market is driven by the increasing prevalence of chronic diseases, the need for efficient diagnosis methods, and the growing adoption of AI in healthcare. The AI-assisted diagnosis market is a global phenomenon, with companies and healthcare institutions around the world investing in this technology to improve patient care and outcomes.
Hardware, Software in the Global AI-Assisted Diagnosis Market:
The Global AI-Assisted Diagnosis Market is segmented into hardware and software products. Hardware products include devices and equipment that are integrated with AI technology, such as imaging devices, diagnostic equipment, and wearable devices. These products use AI algorithms to analyze the data they collect and provide a diagnosis. On the other hand, software products are applications or platforms that use AI to analyze medical data. These can include electronic health record (EHR) systems, diagnostic software, and AI platforms. The software segment of the AI-assisted diagnosis market is growing rapidly, driven by the increasing digitization of healthcare and the growing need for efficient data analysis tools.
Visualization Analysis, Self Diagnoses, Predictive Maintenance, Others in the Global AI-Assisted Diagnosis Market:
The Global AI-Assisted Diagnosis Market finds its application in various areas such as visualization analysis, self-diagnoses, predictive maintenance, and others. Visualization analysis involves the use of AI to analyze medical images and detect abnormalities. This can significantly improve the accuracy of diagnoses and reduce the time taken to diagnose a condition. Self-diagnoses refer to the use of AI to allow individuals to diagnose their own conditions. This can be particularly useful in remote areas where access to healthcare is limited. Predictive maintenance involves the use of AI to predict the likelihood of a medical device failing or needing maintenance. This can help to prevent device failures and ensure that medical equipment is always in good working condition. Other applications of AI in diagnosis include drug discovery, personalized medicine, and disease prediction.
Global AI-Assisted Diagnosis Market Outlook:
The global AI-Assisted Diagnosis market has shown significant growth in recent years. In 2023, the market was valued at US$ 8483.3 million and is expected to reach US$ 38050 million by 2030, growing at a CAGR of 22.0% during the forecast period 2024-2030. The market is primarily divided into hardware and software products, with hardware products accounting for 77.82% of the global market share in 2019 and software products accounting for 22.08%. 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. However, China's market size is rapidly increasing, accounting for about 25.78% in 2019. This growth can be attributed to the increasing adoption of AI in healthcare and the growing prevalence of chronic diseases.
| Report Metric | Details |
| Report Name | AI-Assisted Diagnosis Market |
| Accounted market size in 2023 | US$ 8483.3 million |
| Forecasted market size in 2030 | US$ 38050 million |
| CAGR | 22.0% |
| Base Year | 2023 |
| Forecasted years | 2024 - 2030 |
| Segment by Type |
|
| Segment by Application |
|
| By Region |
|
| By Company | Alibaba, Alphabet, Cisco, DELL, GE, IBM, Intel, MECHANICA AI BV, Microsoft, Oracle, PSI Software AG, Rockwell Automation, SANY Heavy Industry, SAP, SAS, Siemens, Uptake Technologies Inc |
| Forecast units | USD million in value |
| Report coverage | Revenue and volume forecast, company share, competitive landscape, growth factors and trends |
