Industry Insight
The global pervasive computing technology market is prompted to record a healthy CAGR during the forecast period, 2018-2023. The progress in the market can be observed with the rising factors from all corners of the globe.
Top Market Drivers & Key Trends
The underlying technologies such as internet capabilities, wireless communications, sensors, user interfaces, advanced middleware, mobile protocols, networking, artificial intelligence, embedded systems, location and positioning, voice recognition support pervasive computing have made pervasive computing technology more popular. In the present day, pervasive computing is also known as Internet-of-things (IoT), which means connecting everyday objects to networks and devices. These features have made the market recognizable and earned considerable valuation for some years.
The pervasive computing market is estimated to exhibit high growth potential over the next coming years owing to a surge in demand for smart devices and internet penetration. The pervasive computing market has benefitted end-use industries such as communications, automotive, defense, consumer appliances, healthcare, and E-commerce. Pervasive computing products consist of PDA, mobile phones, Bluetooth handset, camera, web server, watch phone, watch camera, and brainwaves. All these aspects have made the market of pervasive computing technology robust that would also expand in the same way throughout the forecast period.
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Furthermore, the pervasive computing market is also ready to witness surged demand from broken connections, location-dependent data, and limited host bandwidths that can raise the security of pervasive computing, resulting in initiating growth parameters. Despite all these factors, the pervasive computing market might face several technological challenges such as users’ intent, energy management issues, flaws in human-machine interfaces, context awareness, and cyber forage, along with user privacy concerns. From this point of view, MRFR’s study found that the market could witness some hindrances while developing in the forecast period. Thus, the market speed could go slow, as estimated in the forecast period.
Segmentation of Market: Pervasive Computing
From the viewpoint of segmental analysis, the global, pervasive computing market is studied among various segments such as components, technology, and application.
Depending on the components segment, the market has included software, hardware, and solutions. Wherein, the hardware is also segmented into sensors & actuators, smartphones, servers, cameras, communication devices, smart wearable devices (watch phone, watch camera), Bluetooth hands-free, softphone, and the webserver.
Depending on the technology segment, the market has included WLANs, Wi-Fi, and 3G & 4G.
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Industry InsightThe global pervasive computing technology market size is prompted to record a healthy CAGR during the forecast period, 2020-2027.
The progress in the market can be observed with the rising factors from all corners of the globe.Top Market Drivers & Key TrendsThe underlying technologies such as internet capabilities, wireless communications, sensors, user interfaces, advanced middleware, mobile protocols, networking, artificial intelligence, embedded systems, location and positioning, voice recognition support pervasive computing have made pervasive computing technology more popular.
These features have made the market recognizable and earned considerable valuation for some years.
Pervasive computing products consist of PDA, mobile phones, Bluetooth handset, camera, web server, watch phone, watch camera, and brainwaves.
Furthermore, the pervasive computing market is also ready to witness surged demand from broken connections, location-dependent data, and limited host bandwidths that can raise the security of pervasive computing, resulting in initiating growth parameters.
Despite all these factors, the pervasive computing market might face several technological challenges such as users’ intent, energy management issues, flaws in human-machine interfaces, context awareness, and cyber forage, along with user privacy concerns.
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