Edge Analytic Market Analysis:
According to Verified Market Research, the Global Edge Analytics Market was valued at USD 3.15 Billion in 2018 and is projected to reach USD 26.59 Billion by 2026, growing at a CAGR of 30.6% % from 2019 to 2026.
Neuromorphic engineering, also known as neuromorphic computing, is a concept developed by Carver Mead, in the late 1980s, describing the use of very-large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures present in the nervous system. The Artificial Intelligence Hardware market report involves segments on the basis of processors, which are further broken into MPU, GPU, FPGA and Others, as well as Memory and Network.
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Edge analytics is defined as a process of collection, processing, and analysis of data at the edge of a network either at or close to a sensor, a network switch or some other connected device. The rising popularity of connected devices along with the evolution of the Internet of Things (IoT) has stimulated the generation of vast amounts of data at the edge of the network in many industries such as retail, manufacturing, transportation, and energy. It can be either descriptive or predictive analytics. Edge analytics is data analytics in real-time and in-situ or on-site where data collection is happening.
Factors influencing the market.
In the report, the market outlook section mainly encompasses the fundamental dynamics of the market which include drivers, restraints, opportunities, and challenges faced by the industry. Drivers and Restraints are intrinsic factors whereas opportunities and challenges are extrinsic factors of the market.
The increasing demand for high-performance ICs and growing demand for artificial intelligence (AI) based services are driving the growth of the global Neuromorphic Computing Market. Factors such as the increased complexity of the hardware and software are affecting the growth of the market negatively.
The emergence of IoT, adoption rate of Edge Analytics, rising ICT expenditure by the government of various developed and the developing countries have been driving the global edge analytics market. On the other hand, issues concerned with safety and security as well as lacking universally accepted standards might hamper the overall growth at a global level.
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