Healthcare Edge Computing Market Overview:
The Healthcare Edge Computing market Vertical is
projected to grow from USD XX Billion in 2023 to USD XX Billion by 2032, exhibiting
a compound annual growth rate (CAGR) of XX% during the forecast period (2023 -
2032).
The edge computing market is likely to witness
outstanding growth in the future. Growing adoption of edge computing for
automated operations and enhanced safety measures would boost the market size.
Market Research Future (MRFR) confirms that the global edge computing market
value is expected to escalate from USD 36.35 BN in 2022 to USD 168.6 BN by
2030, growing at a 24.51% CAGR throughout the assessment period (2022-2030).
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Key Players:
Key Companies in the Healthcare Edge Computing
market include,
- Cisco
- AWS
- Dell
Technologies
- Google
- HPE
- Huawei
- IBM
- Intel
However, the multiple benefits of IoT and the
rising use of connected technologies & smart devices also generate
extensive big data. As a result, companies seek edge computing solutions, such
as hyper-localized data centers, devices, and edge nodes. Furthermore, the
growing demand for real-time, automated decision-making solutions allows the
market to garner substantial traction.
Edge computing brings the power of computation and
data storage, creating tremendous opportunities across industries. It enables
better data control, faster insights & actions, and continuous operations
while reducing operational costs. Moreover, this technology provides an
autonomous management offering to address the scale and variability needs. It
also helps communication companies upgrade their networks and deliver new
services at the edge.
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The use of IoT devices is predominantly growing
among businesses that are increasingly depending on storage solutions and
centralized cloud computing and are using IoT actuators, sensors, and other
devices. Also, the rising need for low-latency processing and network traffic and
data volumes substantiate the edge computing market revenues.
Edge computing holds significant potential to
reshape the healthcare industry. It has emerged as a revolutionary technology
in the healthcare domain. The convergence of healthcare and edge computing
technology is revolutionizing various scenarios in the healthcare industry that
require low-latency, remote, and real-time response solutions. These scenarios
include pop-up clinics, cancer screening centers, and patient-monitoring
systems like pacemakers & insulin pumps.
Edge computing brings data storage and computation closer
to the data sources, eliminating the need for centralized data storage and
processing systems. The real-time data analysis is unaffected by changing
network speeds and latency issues, thereby saving bandwidth. Edge computing
will be a significant driver of digital healthcare; therefore, it is being
increasingly adopted across the healthcare sectors worldwide.
Edge computing devices are increasingly deployed to
remotely monitor patients, automate care delivery, and leverage AI systems to
improve diagnosis speed and accuracy. AI and edge computing convergence is
increasingly making it possible to collect patient data, evaluate it, and
respond in real-time. AI-embedded edge computing systems can detect anomalies
and potentially life-threatening illnesses, quickly enabling X-rays and other
scans.
Leading edge solutions providers strive to expand
their edge computing capabilities to meet the growing computing needs in the
healthcare sector. For instance, on Feb.22, 2023, Qualcomm announced plans to
simplify and accelerate IoT with its comprehensive IoT platform, Aware. This
platform combines edge and cloud technologies with API-first architecture and
developer-friendly tools to simplify & scale digital transformation.
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The new Aware IOT platform is aimed at powering the
growth of telehealth and telemedicine. Qualcomm Connected Healthcare is
collaborating with healthcare companies to innovate and develop scalable,
comprehensive technologies for various healthcare services to enhance virtual
interaction across the medical infrastructure.
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