Global Edge Computing in Healthcare Market Size is predicted to develop at a 28.5% CAGR during the forecast period for 2025-2034.
The use of edge computing in healthcare has been rapidly expanding, allowing for real-time data processing and analysis at the network's edge, closer to the data source. This approach improves privacy and reduces latency, which is especially advantageous for medical applications. Edge computing enables personalized treatments, remote patient monitoring, and predictive analytics. The healthcare market for edge computing is expected to grow because it can improve patient outcomes, expedite procedures, and save expenses. Numerous important causes are driving this expansion.
One major driver of edge computing in healthcare is the rising need for real-time data analysis in areas like remote patient monitoring and telemedicine, as advanced medical devices generate large volumes of data that require fast processing and low latency are the capabilities that edge computing effectively delivers. Additionally, the need for decentralized processing power to support complicated algorithms and boost operational efficiency is being created by the integration of robotics and artificial intelligence (AI) in surgery and diagnostics. Furthermore, the growing use of linked medical devices and the mounting pressure on healthcare providers to improve patient care while efficiently controlling costs are driving growth.
Some major key players in the edge computing in healthcare market:
The Edge Computing in Healthcare market is classified based on component, application, and end-user. The component segment comprises Hardware, Software, Services, and Edge-Managed Platform. As per the application, the market is segmented into Diagnostics, Telehealth & Patient Remote Monitoring, Critical Infrastructure Monitoring, Robotic Surgery, and Others. The end-user segment includes Hospitals & Clinics, Ambulatory Care Centers, Long Term Care Centers & Home Care Settings, and Others.
The hardware category is expected to hold a major global market share in 2021. Healthcare edge computing hardware is essential to the successful implementation of this technology in healthcare environments. The use of IoT sensors is crucial to edge computing in healthcare. These consist of blood pressure monitors, glucose meters, temperature sensors, and other instruments for gathering data. AI and machine learning processes in healthcare are accelerated by hardware accelerators like GPUs and TPUs, which speed up the processing of intricate algorithms for jobs like medical image analysis. High-definition cameras are necessary for good video imaging and video conferencing in telehealth and distant consultations. Edge devices frequently require local storage to cache data before sending it to the central server.
Telehealth providers can deliver a more effective and integrated experience by leveraging edge computing technology, which raises patient satisfaction and engagement. Wearable technology allows patients to track their health and well-being and access medical information and remote consultations. Throughout the projected period, segment revenue is anticipated to be driven by growing research activities for the integration of edge computing in patient monitoring and increasing investments to increase the adoption of telehealth to lessen the healthcare burden. Additionally, throughout the projection period, the market is anticipated to be driven by the growing investments made by government agencies to promote the use of telehealth services, which raises the need for edge computing software to analyze patient data.
The North America Edge Computing in Healthcare market is expected to register the highest market share in revenue in the near future. In North America, edge computing is bringing in a new era of patient-centered healthcare. Continuous remote patient monitoring is made possible by real-time data processing at the edge. This enables medical professionals to create more individualized treatment programs, guaranteeing prompt interventions and better patient results. Edge computing is at the heart of the growing telemedicine scene in the region.
Edge computing is increasing access to healthcare, particularly in underserved and distant locations, by enabling secure data transmission, remote diagnostics, and smooth video consultations. In addition, Europe is projected to grow rapidly in the global Edge Computing in the Healthcare market. The pandemic hastened the adoption of telehealth, and edge computing is essential to this change. It improves healthcare accessibility by guaranteeing quick data transfers, remote patient monitoring, and secure, low-latency video consultations.
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Report Attribute |
Specifications |
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Growth Rate CAGR |
CAGR of 28.5% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Mn 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 Component, Application, And 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; France; Italy; Spain; South East Asia; South Korea |
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Competitive Landscape |
ZPE Systems, Binariks, Amazon Web Services (AWS), Inc., Aricent, Inc., Atos, Cisco Systems, Inc., General Electric Company, Hewlett Packard Enterprise Development, Honeywell International Inc., Huawei Technologies Co., Ltd., IBM Corporation, Intel Corporation, Akamai Technologies, Telco Systems, Microsoft Corporation, and others. |
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Customization Scope |
Free customization report with the procurement of the report and 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 Edge Computing in Healthcare Market Snapshot
Chapter 4. Global Edge Computing in Healthcare 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. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.9. Use/impact of AI on Edge Computing in Healthcare Market Industry Trends
4.10. Global Edge Computing in Healthcare Market Penetration & Growth Prospect Mapping (US$ Mn), 2021-2034
Chapter 5. Edge Computing in Healthcare Market Segmentation 1: By Component, Estimates & Trend Analysis
5.1. Market Share by Component, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Component:
5.2.1. Hardware
5.2.2. Software
5.2.3. Services
5.2.4. Edge-Managed Platform
Chapter 6. Edge Computing in Healthcare Market Segmentation 2: By Application, Estimates & Trend Analysis
6.1. Market Share by Application, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:
6.2.1. Diagnostics
6.2.2. Telehealth & Patient Remote Monitoring
6.2.3. Critical Infrastructure Monitoring
6.2.4. Robotic Surgery
6.2.5. Other Applications
Chapter 7. Edge Computing in Healthcare Market Segmentation 3: By End User, Estimates & Trend Analysis
7.1. Market Share by End User, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following End User:
7.2.1. Hospitals & Clinics
7.2.2. Ambulatory Care Centers
7.2.3. Long-Term Care Centers & Home Care Settings
7.2.4. Other End Users
Chapter 8. Edge Computing in Healthcare Market Segmentation 4: Regional Estimates & Trend Analysis
8.1. Global Edge Computing in Healthcare Market, Regional Snapshot 2024 & 2034
8.2. North America
8.2.1. North America Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
8.2.1.1. US
8.2.1.2. Canada
8.2.2. North America Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
8.2.3. North America Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.2.4. North America Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
8.3. Europe
8.3.1. Europe Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
8.3.1.1. Germany
8.3.1.2. U.K.
8.3.1.3. France
8.3.1.4. Italy
8.3.1.5. Spain
8.3.1.6. Rest of Europe
8.3.2. Europe Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
8.3.3. Europe Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.3.4. Europe Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
8.4. Asia Pacific
8.4.1. Asia Pacific Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
8.4.1.1. India
8.4.1.2. China
8.4.1.3. Japan
8.4.1.4. Australia
8.4.1.5. South Korea
8.4.1.6. Hong Kong
8.4.1.7. Southeast Asia
8.4.1.8. Rest of Asia Pacific
8.4.2. Asia Pacific Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
8.4.3. Asia Pacific Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.4.4. Asia Pacific Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
8.5. Latin America
8.5.1. Latin America Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
8.5.1.1. Brazil
8.5.1.2. Mexico
8.5.1.3. Rest of Latin America
8.5.2. Latin America Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
8.5.3. Latin America Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.5.4. Latin America Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
8.6. Middle East & Africa
8.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
8.6.1.1. GCC Countries
8.6.1.2. Israel
8.6.1.3. South Africa
8.6.1.4. Rest of Middle East and Africa
8.6.2. Middle East & Africa Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
8.6.3. Middle East & Africa Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
8.6.4. Middle East & Africa Edge Computing in Healthcare Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
Chapter 9. Competitive Landscape:
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles
9.2.1. AbbVie’s
9.2.1.1. Business Overview
9.2.1.2. Key Component/Service Overview
9.2.1.3. Financial Performance
9.2.1.4. Geographical Presence
9.2.1.5. Recent Developments with Business Strategy
9.2.2. ZPE Systems
9.2.3. Binariks
9.2.4. Amazon Web Services (AWS), Inc.
9.2.5. Cisco Systems, Inc.
9.2.6. Hewlett Packard Enterprise Development
9.2.7. Intel Corporation
9.2.8. Akamai Technologies
9.2.9. Telco Systems
9.2.10. Microsoft Corporation
9.2.11. Other Prominent Players
Segmentation of Edge Computing in Healthcare Market-
Edge Computing in Healthcare Market By Component-
Edge Computing in Healthcare Market By Application-
Edge Computing in Healthcare Market By End-User-
Edge Computing in Healthcare Market 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.
