• Sat. Jul 31st, 2021

Impact of COVID-19 on Wi-Fi Analytics Market Growth, Segments, Size, Industry Analysis and Opportunities 2030

Byprajneesh

Dec 13, 2020

Wi-Fi analytics refers to the data captured through the different WiFi access points that is then used for analyzing, informing, and improving the physical layouts, business operations, and marketing strategies. There are mainly two types of data captured through the access points— marketing analytics and presence analytics. A major factor propelling the demand for WiFi analytics solutions is the increasing number of smartphone users across the globe.

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As a result, the global Wi-Fi analytics market will grow, in valuation, from $5,210.0 million to $52,975.5 million from 2019 to 2030. P&S Intelligence, a market research company, predicts a CAGR of 24.2% in the market from 2020 to 2030. The studies further say that “the total number of mobile phone users in the world would increase from 5.2 billion to 5.8 billion from the end of 2019 to 2025”.

This market research report provides a comprehensive overview of the wi-fi analytics market

  • Recent trends and evolving opportunities for the market participants
  • Historical and the present size of the market segments and understand their comparative future potential
  • Potential of on-demand logistics services, so the market players make informed decisions on the sales of their offerings
  • Competitive scenario of various market segments across key countries in several regions for uncovering market opportunities for the stakeholders
  • Major players operating in the market and their service offerings
  • Recent strategic developments by the major players in the market

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“As per the studies of the GSM Association, the total number of mobile users accounted for almost 67% of the global population at the end of 2019”. Furthermore, the rapid technological advancements and improvements in the WiFi standards will lead to the development of dense platforms having multiple concurrently connecting systems and IoT (internet of things) connections such as hospitals, airports, and various public transportation areas, which will, in turn, propel the demand for real time data analysis.

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