Global AI in the Hospital Disinfection Market Size is predicted to witness a 21.2% CAGR during the forecast period for 2025-2034.
Disinfection refers to the process of eliminating or reducing the number of microorganisms. Artificially intelligent robots, equipped with advanced automation capabilities, are utilised in many environments, such as medical facilities, research laboratories, and other relevant settings, to do tasks such as disinfection and cleaning of furniture, walls, equipment, and other pertinent areas. These robotic systems protect against prevalent bacterial, viral, and other microorganism illnesses.
In contrast to inherent human fallibilities, they possess qualities of simplicity, practicality, and infallibility. In recent times, there has been a growing demand for disinfection robots as a means to mitigate healthcare-associated infections (HAIs) while minimising staff costs. Disinfection methods such as hydrogen peroxide and UV disinfection in healthcare settings predominantly rely on manual labour due to the relatively recent introduction of disinfection robots in many nations' healthcare markets.
The rise in adoption of the technologies in the healthcare sector owing to the rising need to reduce healthcare costs and provide higher quality patient care services are the key drivers of global artificial intelligence in the hospital disinfection market. The rising frequency of many chronic diseases and an ageing population results in a larger pool of hospital patients.
The AI in Hospital Disinfection market has been segmented based on disinfection type, end-use, and component. The market is segmented as UV light, wiping, spraying, and plasma treatment based on disinfection type. The end-user segment includes hospitals, diagnostics centers, ambulatory surgical centers, and others. The component segment includes software and hardware.
According to estimates, the ultraviolet light disinfection sector will account for the majority of the worldwide disinfection robot market. The growing awareness of hospital-acquired diseases, the efficiency of UV-C irradiation to disinfect surfaces, and the increased demand for disinfection and sanitation during the COVID-19 pandemic all contribute to this segment's substantial market share.
According to estimates, the hospital segment will account for the majority of the global market. The increasing prevalence of healthcare-acquired illnesses and their significant economic impact, rising healthcare expenditures, and expanding awareness about the benefits of disinfection in hospitals all contribute to this segment's large market share.
North America is distinguished by a growing preference for innovative and cutting-edge digital technologies. North America's strong and established healthcare, IT, and telecommunications infrastructure have aided the expansion of artificial intelligence in hospital disinfection. Additionally, favourable government policies support implementing digital and innovative technology, such as artificial intelligence, in the healthcare sector.
North America has a large patient population. More than half of the US population is estimated to have one or more chronic diseases. This leads to an increase in the number of hospital patients, which is a major element driving the demand for artificial intelligence in the healthcare sector.
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Report Attribute |
Specifications |
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Growth Rate CAGR |
CAGR of 21.2% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Disinfection type, End-Use, Component |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico ;The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia; South Korea; South East Asia |
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Competitive Landscape |
SESTO Robotics Pte. Ltd. (Singapore), UVD Robots (Denmark), PDI, Inc. (U.S.), Xenex Disinfection Services Inc. (U.S.), Nevoa Inc. (U.S.), Vanora Robots Pvt Ltd, Shyld AI, Badger Technologies LLC (U.S.), Skytron, LLC (U.S.), Omron Corporation (Japan), Fetch Robotics, Inc. (U.S.), Finsen Technologies Ltd (U.K.), Taimi Robotics Technology Co. Ltd (China), Akara Robotics Ltd. (Ireland), Bioquell, Infection Prevention Technologies, STERIS Corporation, CleanseBot, Tru-D SmartUVC, Advanced Sterilization Products Services Inc., Siemens AG (Germany), ViriClean, MicroX, Ultraviolette Robotics, Milagrow Business & Knowledge Solutions (Pvt.) Limited (India)) |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI in Hospital Disinfection Market Snapshot
Chapter 4. Global AI in Hospital Disinfection Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: By Disinfection Type Estimates & Trend Analysis
5.1. By Disinfection Type, & Market Share, 2024 & 2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Disinfection Type:
5.2.1. UV Light
5.2.2. Wiping
5.2.3. Spraying
5.2.4. Plasma Treatment
Chapter 6. Market Segmentation 2: By End-Use Estimates & Trend Analysis
6.1. By End-Use & Market Share, 2024 & 2034
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By End-Use:
6.2.1. Hospitals
6.2.2. Diagnostic Centers
6.2.3. Ambulatory Surgical Centers
6.2.4. Others
Chapter 7. Market Segmentation 3: By Component Estimates & Trend Analysis
7.1. By Component & Market Share, 2024 & 2034
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Component:
7.2.1. Software
7.2.2. Hardware
Chapter 8. AI in Hospital Disinfection Market Segmentation 4: Regional Estimates & Trend Analysis
8.1. North America
8.1.1. North America AI in Hospital Disinfection Market revenue (US$ Million) estimates and forecasts By Disinfection Type, 2021-2034
8.1.2. North America AI in Hospital Disinfection Market revenue (US$ Million) estimates and forecasts By End-Use, 2021-2034
8.1.3. North America AI in Hospital Disinfection Market revenue (US$ Million) estimates and forecasts By Component, 2021-2034
8.1.4. North America AI in Hospital Disinfection Market revenue (US$ Million) estimates and forecasts by country, 2021-2034
8.2. Europe
8.2.1. Europe AI in Hospital Disinfection Market revenue (US$ Million) By Disinfection Type, 2021-2034
8.2.2. Europe AI in Hospital Disinfection Market revenue (US$ Million) By End-Use, 2021-2034
8.2.3. Europe AI in Hospital Disinfection Market revenue (US$ Million) By Component, 2021-2034
8.2.4. Europe AI in Hospital Disinfection Market revenue (US$ Million) by country, 2021-2034
8.3. Asia Pacific
8.3.1. Asia Pacific AI in Hospital Disinfection Market revenue (US$ Million) By Disinfection Type, 2021-2034
8.3.2. Asia Pacific AI in Hospital Disinfection Market revenue (US$ Million) By End-Use, 2021-2034
8.3.3. Asia Pacific AI in Hospital Disinfection Market revenue (US$ Million) By Component, 2021-2034
8.3.4. Asia Pacific AI in Hospital Disinfection Market revenue (US$ Million) by country, 2021-2034
8.4. Latin America
8.4.1. Latin America AI in Hospital Disinfection Market revenue (US$ Million) By Disinfection Type, (US$ Million) 2021-2034
8.4.2. Latin America AI in Hospital Disinfection Market revenue (US$ Million) By End-Use, (US$ Million) 2021-2034
8.4.3. Latin America AI in Hospital Disinfection Market revenue (US$ Million) By Component, (US$ Million) 2021-2034
8.4.4. Latin America AI in Hospital Disinfection Market revenue (US$ Million) by country, 2021-2034
8.5. Middle East & Africa
8.5.1. Middle East & Africa AI in Hospital Disinfection Market revenue (US$ Million) By Disinfection Type, (US$ Million) 2021-2034
8.5.2. Middle East & Africa AI in Hospital Disinfection Market revenue (US$ Million) By End-Use, (US$ Million) 2021-2034
8.5.3. Middle East & Africa AI in Hospital Disinfection Market revenue (US$ Million) By Component, (US$ Million) 2021-2034
8.5.4. Middle East & Africa AI in Hospital Disinfection Market revenue (US$ Million) by country, 2021-2034
Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles
9.2.1. SESTO Robotics Pte. Ltd. (Singapore)
9.2.2. UVD Robots (Denmark)
9.2.3. PDI, Inc. (U.S.)
9.2.4. Xenex Disinfection Services Inc. (U.S.)
9.2.5. Nevoa Inc. (U.S.)
9.2.6. Vanora Robots Pvt Ltd
9.2.7. Shyld AI
9.2.8. Badger Technologies LLC (U.S.)
9.2.9. Skytron, LLC (U.S.)
9.2.10. Omron Corporation (Japan)
9.2.11. Fetch Robotics, Inc. (U.S.)
9.2.12. Finsen Technologies Ltd (U.K.)
9.2.13. Taimi Robotics Technology Co. Ltd (China)
9.2.14. Akara Robotics Ltd. (Ireland)
9.2.15. Bioquell
9.2.16. Infection Prevention Technologies
9.2.17. STERIS Corporation
9.2.18. CleanseBot
9.2.19. Tru-D SmartUVC
9.2.20. Advanced Sterilization Products Services Inc.
9.2.21. Siemens AG (Germany)
9.2.22. ViriClean
9.2.23. MicroX
9.2.24. Ultraviolette Robotics
9.2.25. Milagrow Business & Knowledge Solutions (Pvt.) Limited (India)
AI in Hospital Disinfection Market By Disinfection Type-
AI in Hospital Disinfection Market By End-Use-
AI in Hospital Disinfection Market By Component-
By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
