Healthcare Edge Computing Market - Industry Current Trends, Opportunities & Challenges by 2032

[larry wilson]

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.
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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