Global AI-Powered Operating Room Scheduling Solutions Market Growth (Status and Outlook) 2025-2031

The global AI-Powered Operating Room Scheduling Solutions market size is predicted to grow from US$ 19.9 million in 2025 to US$ 26.6 million in 2031; it is expected to grow at a CAGR of 5.0% from 2025 to 2031.

AI-powered Operating Room (OR) Scheduling Solutions use artificial intelligence to optimize surgical scheduling, resource allocation, and workflow management in hospitals. These solutions aim to reduce inefficiencies, minimize delays, and improve overall surgical throughput by analyzing large datasets and predicting the best ways to utilize OR time.

United States market for AI-Powered Operating Room Scheduling Solutions is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for AI-Powered Operating Room Scheduling Solutions is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for AI-Powered Operating Room Scheduling Solutions is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key AI-Powered Operating Room Scheduling Solutions players cover Getinge, LeanTaaS, Qventus, case CTRL, Opmed.ai, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information)' newest research report, the “AI-Powered Operating Room Scheduling Solutions Industry Forecast” looks at past sales and reviews total world AI-Powered Operating Room Scheduling Solutions sales in 2024, providing a comprehensive analysis by region and market sector of projected AI-Powered Operating Room Scheduling Solutions sales for 2025 through 2031. With AI-Powered Operating Room Scheduling Solutions sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-Powered Operating Room Scheduling Solutions industry.

This Insight Report provides a comprehensive analysis of the global AI-Powered Operating Room Scheduling Solutions landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI-Powered Operating Room Scheduling Solutions portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-Powered Operating Room Scheduling Solutions market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-Powered Operating Room Scheduling Solutions 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-Powered Operating Room Scheduling Solutions.

This report presents a comprehensive overview, market shares, and growth opportunities of AI-Powered Operating Room Scheduling Solutions market by product type, application, key players and key regions and countries.

Segmentation by Type:
Cloud-based
On-premises

Segmentation by Application:
Hospital
Clinic
Other

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.
Getinge
LeanTaaS
Qventus
case CTRL
Opmed.ai
Leap Rail, Inc

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