Global AI-Assisted Diagnosis Market Growth (Status and Outlook) 2023-2029

Global AI-Assisted Diagnosis Market Growth (Status and Outlook) 2023-2029

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.
LPI (LP Information)' newest research report, the “AI-Assisted Diagnosis Industry Forecast” looks at past sales and reviews total world AI-Assisted Diagnosis sales in 2022, providing a comprehensive analysis by region and market sector of projected AI-Assisted Diagnosis sales for 2023 through 2029. With AI-Assisted Diagnosis sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-Assisted Diagnosis industry.
This Insight Report provides a comprehensive analysis of the global AI-Assisted Diagnosis landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on AI-Assisted Diagnosis portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-Assisted Diagnosis market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-Assisted Diagnosis and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI-Assisted Diagnosis.
The global AI-Assisted Diagnosis market size is projected to grow from US$ 8298.8 million in 2022 to US$ 34990 million in 2029; it is expected to grow at a CAGR of 22.8% from 2023 to 2029.
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.
This report presents a comprehensive overview, market shares, and growth opportunities of AI-Assisted Diagnosis market by product type, application, key players and key regions and countries.
Market Segmentation:
Segmentation by type
Hardware
Software
Segmentation by application
Visualization Analysis
Self Diagnoses
Predictive Maintenance
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
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

Please note: The report will take approximately 2 business days to prepare and deliver.