Global AI in Medical Supplies/Inventory Management Market Size is predicted witness a 22.0% CAGR during the forecast period for 2025-2034.
Implementing AI in medical supplies and inventory management requires a combination of data collection, integration with existing systems, and collaboration between healthcare providers and technology vendors. While AI has great potential in this area, it's important to consider factors such as data privacy, security, and regulatory compliance when implementing AI solutions in healthcare settings. Additionally, ongoing monitoring and adjustment of AI algorithms are essential to ensure their continued effectiveness.
The market is expanding due to various applications and the need to reduce healthcare expenses. Over the forecast period, technological advances and R&D expenditures are anticipated to drive demand to innovate sophisticated solutions. Among the trends in the market for AI in medical supplies/inventory management are integration with the Internet of Things, artificial intelligence, supply chains, and workflows.
The AI in Medical Supplies/Inventory Management market has been segmented based on deployment mode, component, application, end-user, and technology. The Deployment mode market is divided into on-premises and cloud-based. The component segment includes hardware and software. The application segment includes tracking multi-warehouse, security, return handling, low/restock alerts, and tracking expired products. The end-user segment includes hospitals, ambulatory surgical centers, retail pharmacies, and online pharmacies.
In the upcoming years, it is anticipated that the hardware sector will have a rapid CAGR. A further division of the market is made into RFID, barcode scanners, PCs, and other gadgets. Trackers are widely employed in hospital asset management systems to find various pieces of technology. Because trackers can quickly find these items, they can reduce costs by saving a significant amount of time and labour.
During the projected period, the sector of cloud-based services will increase more quickly than on-premises services. Hospitals can share and integrate data from numerous sources using this distribution method, which also has low installation and maintenance expenses. Because cloud-based access to inventory information won't be limited to a single person or single desktop, it will enable experts to track medical supplies with ease.
During the forecast, the market in Asia Pacific is expected to grow rapidly. Asia Pacific region is adopting deep learning and natural language processing (NLP) technologies more and more for use in industry, retail, and cars, which is driving market growth. This is also becoming a more popular place to use artificial intelligence because there are a lot of big players in the artificial intelligence supply chain industry.
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Report Attribute |
Specifications |
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Growth Rate CAGR |
CAGR of 22.0% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Million 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 Deployment Mode, Application, Components, Technology, End-User |
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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; South Korea; South East Asia |
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Competitive Landscape |
ZIH Corp; ASCOM; CenTrak; Midmark Corporation; GE Healthcare; and Honeywell International, Inc., and others. |
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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 Medical Supplies/Inventory Management Market Snapshot
Chapter 4. Global AI in Medical Supplies/Inventory Management 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 Deployment Mode Estimates & Trend Analysis
5.1. By Deployment Mode, & Market Share, 2024-2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021-2034 for the following By Deployment Mode:
5.2.1. On-Premises
5.2.2. Cloud-Based
Chapter 6. Market Segmentation 2: By Component Estimates & Trend Analysis
6.1. By Component & Market Share, 2024-2034
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021-2034 for the following By Component:
6.2.1. Software
6.2.2. Hardware
Chapter 7. Market Segmentation 3: By Application Estimates & Trend Analysis
7.1. By Application & Market Share, 2024-2034
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021-2034 for the following By Application:
7.2.1. Track Multi-warehouse
7.2.2. Security
7.2.3. Return Handling
7.2.4. Low/restock Alerts
7.2.5. Track Expired Products
Chapter 8. Market Segmentation 4: By End-user Estimates & Trend Analysis
8.1. By End-user & Market Share, 2024-2034
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021-2034 for the following By End-user:
8.2.1. Hospitals
8.2.2. Ambulatory Surgical Centers
8.2.3. Retail Pharmacies
8.2.4. Online Pharmacies
Chapter 9. Market Segmentation 5: By Technology Estimates & Trend Analysis
9.1. By Technology & Market Share, 2024-2034
9.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021-2034 for the following By Technology:
9.2.1. NLP
9.2.2. Machine Learning
Chapter 10. AI in Medical Supplies/Inventory Management Market Segmentation 6: Regional Estimates & Trend Analysis
10.1. North America
10.1.1. North America AI in Medical Supplies/Inventory Management Market revenue (US$ Million) estimates and forecasts By Deployment Mode, 2021-2034
10.1.2. North America AI in Medical Supplies/Inventory Management Market revenue (US$ Million) estimates and forecasts By Component, 2021-2034
10.1.3. North America AI in Medical Supplies/Inventory Management Market revenue (US$ Million) estimates and forecasts By Application, 2021-2034
10.1.4. North America AI in Medical Supplies/Inventory Management Market revenue (US$ Million) estimates and forecasts By End-user, 2021-2034
10.1.5. North America AI in Medical Supplies/Inventory Management Market revenue (US$ Million) estimates and forecasts By Technology, 2021-2034
10.1.6. North America AI in Medical Supplies/Inventory Management Market revenue (US$ Million) estimates and forecasts by country, 2021-2034
10.2. Europe
10.2.1. Europe AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Deployment Mode, 2021-2034
10.2.2. Europe AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Component, 2021-2034
10.2.3. Europe AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Application, 2021-2034
10.2.4. Europe AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By End-user, 2021-2034
10.2.5. Europe AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Technology, 2021-2034
10.2.6. Europe AI in Medical Supplies/Inventory Management Market revenue (US$ Million) by country, 2021-2034
10.3. Asia Pacific
10.3.1. Asia Pacific AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Deployment Mode, 2021-2034
10.3.2. Asia Pacific AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Component, 2021-2034
10.3.3. Asia Pacific AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Application, 2021-2034
10.3.4. Asia Pacific AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By End-user, 2021-2034
10.3.5. Asia Pacific AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Technology, 2021-2034
10.3.6. Asia Pacific AI in Medical Supplies/Inventory Management Market revenue (US$ Million) by country, 2021-2034
10.4. Latin America
10.4.1. Latin America AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Deployment Mode, (US$ Million) 2021-2034
10.4.2. Latin America AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Component, (US$ Million) 2021-2034
10.4.3. Latin America AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Application, (US$ Million) 2021-2034
10.4.4. Latin America AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By End-user, (US$ Million) 2021-2034
10.4.5. Latin America AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Technology, (US$ Million) 2021-2034
10.4.6. Latin America AI in Medical Supplies/Inventory Management Market revenue (US$ Million) by country, 2021-2034
10.5. Middle East & Africa
10.5.1. Middle East & Africa AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Deployment Mode, (US$ Million) 2021-2034
10.5.2. Middle East & Africa AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Component, (US$ Million) 2021-2034
10.5.3. Middle East & Africa AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Application, (US$ Million) 2021-2034
10.5.4. Middle East & Africa AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By End-user, (US$ Million) 2021-2034
10.5.5. Middle East & Africa AI in Medical Supplies/Inventory Management Market revenue (US$ Million) By Technology, (US$ Million) 2021-2034
10.5.6. Middle East & Africa AI in Medical Supplies/Inventory Management Market revenue (US$ Million) by country, 2021-2034
Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles
11.2.1. IDENTI Medical
11.2.2. Pivot Smartflow
11.2.3. IdeaRx
11.2.4. TraceMedics
11.2.5. Viebeg Technologies
11.2.6. Others Prominent Players
AI in Medical Supplies/Inventory Management Market By Deployment Mode-
AI in Medical Supplies/Inventory Management Market By Component-
AI in Medical Supplies/Inventory Management Market By Application-
AI in Medical Supplies/Inventory Management Market By End-Users-
AI in Medical Supplies/Inventory Management Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
Rest of the Middle East and 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.
