Edge Computing in Healthcare Market Size, Share & Trends by Component (Hardware, Software, Services), Application (Diagnostics, Robotic Surgery, Telehealth, RPM, and Ambulances), End User (Hospitals, Clinics, Ambulatory Care Center), & Region - Global Forecast to 2028
Edge Computing in Healthcare Market Size, Share & Trends
The size of global edge computing in healthcare market in terms of revenue was estimated to be worth $4.1 billion in 2022 and is poised to reach $12.9 billion by 2028, growing at a CAGR of 26.1% from 2022 to 2028. The comprehensive research encompasses an exhaustive examination of industry trends, meticulous pricing analysis, patent scrutiny, insights derived from conferences and webinars, identification of key stakeholders, and a nuanced understanding of market purchasing dynamics.
With the rise of the number of devices and the increased use of internet services, edge computing has become increasingly popular across industries. It offers several benefits, including low latency, traffic distribution, improved reliability, and reduced costs, which have led to its rapid acceptance by healthcare organizations worldwide. In addition, edge computing provides greater security and privacy for sensitive data, making it an attractive option for organizations dealing with confidential information.
Edge Computing in Healthcare Market Trends
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Edge Computing in Healthcare Market Dynamics
Driver: Growing adoption of IoT medical devices
The proliferation of IoT devices has led to a significant increase in data, due to which healthcare organizations are increasingly relying on centralized cloud computing and storage solutions. The global IoT medical devices market is expected to grow at a CAGR of 28.9% during the period from 2021 to 2026. According to a research study, the number of active IoT devices is expected to grow to ~31 billion by 2025. Accenture predicts that IoT could add USD 14.2 trillion to the global economy by 2030. Migrating the entire IT infrastructure to the cloud poses latency and economic feasibility issues. Hence, organizations using IoT sensors, actuators, and other IoT devices are increasingly looking for edge computing solutions, such as edge nodes, devices, and hyper-localized data centers. Edge computing supplements the existing cloud paradigm by facilitating data processing closer to the data source, thereby enabling organizations to speed up decision-making.
IoT devices, such as wearables, smart sensors, and medical devices, can generate vast amounts of data that can be used to monitor patients in real time, track their health status, and facilitate early detection of potential health issues.
One example of IoT devices in healthcare is remote patient monitoring (RPM) systems. These systems use wearable devices, smart sensors, and other IoT devices to monitor patients’ vital signs, activity levels, and other health-related data in real time. This data is then transmitted to healthcare providers, who can use it to monitor patients remotely and make informed decisions about their care. RPM systems are particularly useful for patients with chronic conditions, such as diabetes, heart disease, and chronic obstructive pulmonary disease (COPD), who require ongoing monitoring and supports.
Restraint: High CAPEX and OPEX associated with edge computing systems
One of the key restraints for the adoption of edge computing solutions in healthcare settings is the initial capital expenditure (CAPEX) required for infrastructure. Edge computing systems require significant investment in hardware, software, and networking infrastructure, which limits adoption among healthcare organizations with limited budgets. For instance, the deployment of edge computing systems for medical imaging requires significant investment in high-performance computing infrastructure, including servers, storage systems, and networking equipment. Companies such as NVIDIA and Intel offer high-performance edge computing solutions for medical imaging, but the initial CAPEX for these systems can be substantial.
Another example is the deployment of edge computing systems for remote patient monitoring. Companies such as Philips and Qualcomm offer edge computing solutions for remote patient monitoring, which require investment in both hardware and software infrastructure. The initial CAPEX for these systems can be significant, which may limit the adoption of edge computing solutions for remote patient monitoring in healthcare settings.
In addition to the CAPEX required for infrastructure, healthcare organizations may also have to bear high operating expenditure (OPEX) associated with edge computing systems, including maintenance, upgrades, and staff training. These ongoing expenses can further limit the adoption of edge computing solutions in healthcare settings.
To overcome this restraint, healthcare organizations can consider alternative deployment models for edge computing, such as cloud-based edge computing solutions or managed services. Companies such as Microsoft and Amazon offer cloud-based edge computing solutions, which can help to reduce the initial CAPEX for infrastructure. Additionally, healthcare organizations can partner with managed service providers that specialize in edge computing, which can help to reduce the ongoing operating expenses associated with edge computing systems.
Opportunity: Advent of 5G network
5G is expected to enable life-altering advancements in the near future. According to Ericsson Mobility Report 2020, global 5G subscriptions are expected to reach 2.8 billion by the end of 2025, accounting for 30% of total subscriptions. 5G will provide greater benefits for the deployment of edge computing solutions. 5G does not improve the user experience when businesses centralize their APIs. Approximately 99% of APIs are centralized in one or two data centers. Healthcare organizations must find ways to bring data streaming edge messaging solutions or design a network for edge that provides distributed access. 5G, with an edge messaging system, enhances application connectivity speed with 5G and delivers instant communication experiences. Cisco predicted that 5G’s impact would be tangible and significant by 2022. 5G brings cloud, core, and edge together. It will bring network architectures that are faster and more robust, bringing the core near the end and reducing the dependence on edge technology for various applications. Thus, 5G will be an accelerator for edge deployments and new edge use cases.
Challenge: Susceptibility to cyberattacks and limited authentication capabilities of edge computing architecture
Despite the benefits, the edge computing architecture is susceptible to cyberattacks due to the addition of vulnerable edge nodes and IoT devices. Various IoT devices, such as security cameras, smart doorbells, and baby monitors, have limited capabilities of authentication and encryption. Hence, they are prone to tampering, eavesdropping, malicious congestion, and identity forging. With the increasing number of IoT startups and rising competition, many small companies rely on security through obscurity while neglecting the risk of cyberattacks. As these devices lack robust IT hardware protocols, users having less or no knowledge about IT security might lose critical data, paving the way for malware that could shun the entire edge network. This could also lead to large security breaches and can cause huge economic losses to the entire ecosystem. Eliminating authentication and enumeration vulnerabilities is the biggest challenge for IoT device manufacturers until the companies introduce some tough protocols and authentication systems within the devices.
Edge Computing in healthcare Market Ecosystem
Well-known, financially secure producers of Edge computing in healthcare systems and platforms are prominent players in this market. These companies have been in operation for a while and have a broad range of products, cutting-edge technologies, and robust international sales and marketing networks. Key companies in this market include CISCO Systems, Inc. (US), HUAWEI Technologies Co. Ltd (China), Dell Technologies, Inc. (US), Amazon Web Services (US), Google, Inc. (US), Microsoft Corporation (US), Intel Corporation (US), General Electric Digital (US), Hewlett Packard Enterprise Company (US), VMware, Inc. (US).
Hardware acquires largest size of edge computing in healthcare industry, by component
Based on component, the edge computing in healthcare market is segmented into hardware, software, and services. The hardware segment dominated this market in 2022, this is due to the high-scale deployment of edge hardware by healthcare organizations to achieve high performance, scale, and flexibility.
Based on application, telehealth & remote patient monitoring segment is anticipated to dominate the edge computing in healthcare industry
Based on application, the edge computing in healthcare market is segmented into diagnostics, Among these applications, telehealth and remote patient monitoring are expected to dominate the market during the forecast period. By implementing edge computing, telehealth providers can provide patients with a more streamlined and integrated experience, leading to higher engagement and satisfaction. Patients can receive remote consultations with healthcare professionals, access their medical records, and monitor their health and wellness using wearable devices, all from the convenience of their homes. This approach also ensures greater convenience, privacy, and accessibility for patients, enabling them to receive care anytime, anywhere.
Based on the end user, hospitals & clinics accounted for the largest share of the edge computing in healthcare industry
Based on end-users, hospitals & clinics garner high revenue owing to their huge generation of data, attributed to the widespread geographical presence and customer base. Edge computing is transforming the way hospitals and clinics manage data, enabling faster, more efficient decision-making and reducing the burden on IT infrastructure. This technology is helping to improve patient outcomes, enhance the patient experience, and increase the overall efficiency of healthcare systems.
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North America is expected to account for the largest share in edge computing in healthcare industry in 2022
Based on region, the global edge computing in healthcare market has been segmented into North America, Europe, Asia Pacific, and the Rest of the World. In 2022, North America accounted for the largest market share followed by Europe. The increasing number of alliances and partnerships among edge computing and other technology providers for continuous technological innovations and advancements in edge computing have further added to the growth of the global edge computing market in North America.
The edge computing in healthcare market is dominated by a few globally established players such as CISCO Systems, Inc. (US), Dell Technologies, Inc. (US), Amazon Web Services (US), Google, Inc. (US), Microsoft Corporation (US), Intel Corporation (US), among others.
Scope of the Edge Computing in Healthcare Industry
|
Report Metric |
Details |
|
Market Revenue Size in 2022 |
$4.1 billion |
|
Projected Revenue Size by 2028 |
$12.9 billion |
|
Industry Growth Rate |
Poised to Grow at a CAGR of 26.1% |
|
Market Driver |
Growing adoption of IoT medical devices |
|
Market Opportunity |
Advent of 5G network |
The study categorizes the Edge computing in healthcare market to forecast revenue and analyze trends in each of the following submarkets:
By component
- Hardware
- Software
- Services
By Application
- Diagnostics
- Telehealth & Remote Patient Monitoring
- Robotic Surgery
- Ambulances
- Other Applications
By End User
- Hospitals & Clinics
- Long-term Care Centers and Home Care Settings
- Ambulatory Care Centers
- Other End Users
By Region
-
North America
- US
- Canada
-
Europe
- Germany
- UK
- France
- Rest of Europe
-
Asia Pacific
- Japan
- South Korea
- Other Asia Pacific Countries
- Rest of the World
Recent Developments of Edge Computing in Healthcare Industry
- In December 2022, Intel Labs and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) completed of a joint research study using distributed machine learning (ML) and artificial intelligence (AI) approaches to help international healthcare and research institutions identify malignant brain tumors.
- In February 2023, Cisco Systems, Inc. (US) partnered with the NTT DATA (Tokyo) to boost private 5G adoption and edge computing solutions across the Automotive, Logistics, Healthcare, Retail, and public sectors. Cisco Systems, Inc. also collaborated with Bharti Airtel and Apollo Hospitals, Inc. to develop 5G-connected ambulances
- In February 2022, Kyndryl partnered with Amazon Web Services to establish a Cloud Centre of Excellence to provide joint solutions, such as mainframe, network, edge computing, and ERP services for mission-critical infrastructure.
- In October 2021, Dell Technologies enhanced its edge innovations across its infrastructure and PC portfolios to assist organizations in simplifying deployments and capturing more value from data generated and processed outside of the traditional data center and public cloud—from rugged and remote locations to retail stores and factory floors. For instance, VxRail satellite node single-node deployments automate day-to-day operations, health monitoring, eliminating the need for local technical and specialized staff.
Frequently Asked Questions (FAQ):
What is the projected market revenue value of the edge computing in healthcare market?
The edge computing in healthcare market boasts a total revenue value of $12.9 billion by 2028.
What is the estimated growth rate (CAGR) of the edge computing in healthcare market?
The global edge computing in healthcare market has an estimated compound annual growth rate (CAGR) of 26.1% and a revenue size in the region of $4.1 billion in 2022.
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The study involved major activities in estimating the current size of the global edge computing in healthcare market. Exhaustive secondary research was done to collect information on the peer and parent markets. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. The research process involved the study of various factors affecting the industry to identify the segmentation types, industry trends, key players, competitive landscape, key market dynamics, and key player strategies. Both top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, market breakdown and data triangulation were used to estimate the market size of the segments and subsegments.
Secondary Research
This research study involved the use of widespread secondary sources; directories; databases, such as D&B, Bloomberg Business, and Factiva; white papers; government sources; corporate filings (such as annual reports, investor presentations, and financial statements); and trade, business, and professional associations; and company house documents. Secondary research was used to identify and collect information for this extensive, technical, market-oriented, and commercial study of the edge computing in healthcare market. It was also used to obtain important information about the top players, market classification and segmentation according to industry trends to the bottom-most level, geographic markets, technology perspectives, and key developments related to the market. A database of the key industry leaders was also prepared using secondary research.
Primary Research
In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include industry experts such as CEOs, vice presidents, marketing and sales directors, technology and innovation directors, and related key executives from various key companies and organizations operating in the edge computing in healthcare market. The primary sources from the demand side include key executives from research centers, academic institutes, & government organizations, hospitals, healthcare providers, and individual physicians. After the complete market engineering process (which includes calculations for the market statistics, market breakdown, market size estimation, market forecasts, and data triangulation), extensive primary research has been conducted to gather information and verify and validate the critical numbers obtained.
Primary interviews were conducted to gather insights such as market statistics, data of revenue collected from the products and services, market breakdowns, market size estimations, market forecasting, and data triangulation. Primary research also helped in understanding the various trends related to offering, technology, application, functionality, end user, and region.
A breakdown of the primary respondents is provided below:
*Others include sales managers, marketing managers, and product managers.
Note: Tiers are defined based on a company’s total revenue, as of 2021: Tier 1 = >USD 1 billion, Tier 2 = USD 500 million to USD 1 billion, and Tier 3 = <USD 500 million.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down (segmental analysis of major segments) and bottom-up approaches (assessment of utilization/adoption/penetration trends, by product & service, end user, and region) were used to estimate and validate the total size of the edge computing in healthcare market. These methods were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:
- The key players in the industry and market have been identified through extensive secondary research, and their market share in the respective regions have been determined through both primary and secondary research.
- The industry’s value chain and market size, in terms of value, have been determined through primary and secondary research processes.
- All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
Global Edge Computing in Healthcare Market Size: Top-Down Approach
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Data Triangulation
After arriving at the overall market size from the estimation process explained above, the total market has been split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics for all the segments and subsegments, the data triangulation and market breakdown processes have been employed, wherever applicable. The data has been triangulated by studying various factors and trends from both the demand- and supply sides. Along with this, the market has been validated using both the top-down and bottom-up approaches.
Market definition
Edge computing is a distributed computing model that aims to reduce the distance between data storage and computation and the data sources, such as various sensors, connected devices, and IoT devices. Instead of transferring the data to the cloud or data centers, data is transmitted from the sensors and devices to be stored and processed on the edge of the network, close to the devices. By eliminating the need for centralized data storage and processing, Edge computing enables real-time data analysis without being impacted by slow network speeds and latency issues, which ultimately results in bandwidth savings.
Key Stakeholders
- Edge Computing in Healthcare Solution Providers
- Platform Providers
- Technology Providers
- AI System Providers
- Hospitals and Clinics
- Long-term Care Facilities
- Ambulatory Care Centers
- Physician Groups and Organizations
- Universities and Research Organizations
- Forums, Alliances, and Associations
- Academic Research Institutes
- Healthcare Institutions
- Distributors
- Venture Capitalists
- Government Organizations
- Institutional Investors and Investment Banks
- Investors/Shareholders
- Consulting Companies in the Edge Computing and Healthcare Sector
- Raw Materials and Component Manufacturers
Objectives of the Study
- To define, describe, and forecast the edge computing in healthcare market size on the basis of segmentation by component, application, end user, and region, in terms of value
- To provide detailed information regarding the major drivers, restraints, opportunities, and challenges influencing the market growth
- To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall market
- To analyze market opportunities for stakeholders and provide details of the competitive landscape for key players
- To forecast the size of the market in four main regions (along with their respective key countries), namely, North America, Europe, Asia Pacific, and the Rest of the World, in terms of value
- To provide key industry insights such as supply chain analysis, regulatory analysis, patent analysis, recession impact analysis, among others.
- To profile the key players in the market and comprehensively analyze their core competencies3
- To track and analyze competitive developments such as product launches, expansions, collaborations, alliances, partnerships, and R&D activities of the leading players in the market
- To benchmark players within the market using the Competitive Leadership Mapping framework, which analyzes market players on various parameters within the broad categories of business strategy, market share, and product offering.
Available Customizations:
With the given market data, MarketsandMarkets offers customizations as per the client’s specific needs. The following customization options are available for this report:
Product Analysis
- Product matrix, which gives a detailed comparison of the product portfolio of each company
Geographic Analysis
- Further Brekadown of Latin American edge computing in healthcare market into Brazil, Mexico, and rest of Latin America.
- Further breakdown of the Middle East & Africa edge computing in healthcare market into the UAE, Saudi Arabia, South Africa and rest of MEA countries
Company Information
- Detailed analysis and profiling of additional market players (up to five)
Generating Response ...
Growth opportunities and latent adjacency in Edge Computing in Healthcare Market