The global pervasive computing technology market report by Market Research Future (MRFR) provides an unbiased view of the industry in light of technological strides in internet of things (IoT) and increasing support for a connected ecosystem for the forecast period (2020-2030). The COVID-19 outbreak and its implications on the industry are an integral part of the report. Pervasive computing technology has included everyday objects to be connected and controlled through the internet for rapid processing.
Market Scope
The global pervasive computing technology market is poised for immense growth due to rollout of 5G and use of connected devices to execute daily tasks. The emphasis on domestic manufacturing of semiconductor chips, hardware, and software and rapid adoption to new communication networks for catering to new applications across sectors can drive market growth. Augmented reality and automation are niches likely to trigger the market demand in developing and developed countries.
The COVID-19 outbreak has impacted the market owing to glitches in the supply chain of hardware components. The low interest among smart devices and gadgets owing to diminishing expendable income levels caused by the pandemic can hamper market growth. But concerns of user privacy and energy management can restrain the market.
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Segmentation
By type, the pervasive computing technology market is segmented into context-aware computing, distributed computing, mobile computing, mobile networking, location computing, sensor networks, human-computer interaction, and artificial intelligence. The human-computer interaction segment is likely to deliver high returns owing to improvements in conversational software such as chatbots and intelligent personal assistants. Technological advances in machine-to-machine communications can push the segment demand. On the other hand, context-aware computing is deemed to gain a large market share owing to management of processes at a micro level. Recently, the National Institute of Food and Agriculture and National Science Foundation’s Cyber Physical Systems program awarded a USD 5.7 million grant to a group of engineers from Iowa University and University of Illinois Urbana-Champaign.
By application, the market is segmented into industrial logistics, energy management, transportation, and environment monitoring. The transportation application is expected to exhibit huge demand for the pervasive computing technology as connected vehicles and service-oriented architectures are evolving continuously. Moreover, security safeguards for defending the system against inspection of cryptographic code can drive the segment growth.
Regional Analysis
North America, Europe, Asia-Pacific, and Rest of the World (RoW) are major regions covered in the pervasive computing technology market.
North America is estimated to capture the lion’s share of the market owing to developments in smartphones, system architecture, and associated hardware. The central role of pervasive computing in ecommerce firms and maintenance of customer relationship management can drive regional market demand.
On the other hand, Asia-Pacific can display a strong growth rate during the forecast period. High number of internet and mobile users can spur the market demand. Farmers can make use of pervasive computing to make the right decisions while avoiding soil erosion and driving annual yields. Awareness of devices in the coming years owing to use of machine learning and use of data from sensory and acoustic input can revolutionize the market.
Competition Analysis
Neo Metal Co., Ltd., Hewlett-Packard, T&T Inc., Palo Alto Research Center Incorporated (PARC), Ltd., Blazon Marketing Inc., Fujitsu Laboratories of America, Inc., Maruhachi Warehouse Co., Ltd., Tata Consultancy Services Limited., IBM Corporation, and E-Tron CO. are key players of the pervasive computing technology market. New product launches and filing of patents on new discoveries are prime strategies of players in the market.
Industry news
The KnittedKeyboard II by MIT Media Lab is a textile musical interface allowing performers to play distinct notes.
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