Healthcare industry in industrial IoT market is expected to grow at a high rate during the forecast period. The solutions can completely change the healthcare industry through remote monitoring of critical patients. Data gathered through remote monitoring can be used for providing enhanced diagnostics and patient care. Availability of healthcare services and treatments can be enabled through intelligent and complete monitoring systems, propelling the industrial IoT industry. Several companies have started providing integrated solutions by using Industrial IoT technology in the healthcare industry.
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Industrial IoT comprises innovative data analytics, machine-to-machine communication, machine learning algorithms, and sensor technologies to advance the companies’ executive abilities. Identifying probable failures in advance in technology to evade unexpected failures using analytical care techniques is a major factor influencing the adoption of the industrial IoT market.
The industrial IoT market based on industries can be segmented into agriculture, energy & power, healthcare, metals & mining, and manufacturing. These industries are expected to generate various opportunities due to the Industrial IoT technology. The manufacturing sector is currently the largest market holder for Industrial IoT.
Asia Pacific industrial IoT market currently holds the largest share of the IoT market and is anticipated to grow at a high rate during the forecast period. The rise in demand for automated technologies from metals, mining, manufacturing industries, and developments in healthcare solutions are projected to drive the industrial IoT market in the region.
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AT&T, Cisco, Inc., GE, IBM, Intel Corporation, Qualcomm, Accenture, Amazon, ARM, Atos, Bosch, Broadcom, Infosys, Google, Microsoft, National Instruments, Siemens, Tech Mahinda, Tata Consultancy Services, Unisys, Verizon, Zebra Technologies, and ZTE are the major companies contributing to the development and research of the industrial IoT market.
Methodology used in the Report –
Our researchers and domain experts use a unique blend of primary and secondary research, with validation and iterations at every stage, in order to minimize deviation and present the most accurate analysis of the industry. The research process begins with extensive data mining, using authentic sources such as trade magazines, technical publications, independent studies along with paid avenues such as ICIS, Hoovers, etc. Primary objectives of data mining include:
- Definition and scope of research
- Market dynamics, growth drivers and industry pitfalls
- Regulatory and political guidelines for the industry
- Demographics and statistical data
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