The demand for devices such as smartphones has increased significantly across the globe. As per the GSM Association, by the end of 2019, there were approximately 5.2 billion unique mobile subscribers, which means that about 67% of the worldwide population was using smartphones. The number of smartphone users is further predicted to increase to 5.8 billion by 2025, accounting for 70% of the global population. The adoption of these devices has also been increasing in developing countries, owing to the rising disposable income.

Owing to this, the global Wi-Fi analytics market is predicted to attain a revenue of $52,975.5 million by 2030, increasing from $5,210.0 million in 2018, progressing at a 24.2% CAGR during the forecast period (2020–2030). The process of analyzing and collected data related to customers from Wi-Fi access points for reporting the collected data is referred to as Wi-Fi analytics. The technology is utilized for triggering marketing, improving operations, and tracking campaign results.

The major components of Wi-Fi analytics are services and solutions, between which, the demand for Wi-Fi analytics solutions has been the highest in the past. Businesses these days are making extensive usage of targeted marketing and online behavioral data for enhancing user experience. Retail stores, restaurants, sports arenas, and various other businesses are looking for ways to engage and understand their customers, which is why they are making use of Wi-Fi analytics solutions.

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This market research report provides a comprehensive overview of the Wi-Fi analytics market

Historical and the present size of the Wi-Fi analytics market
Future potential of the market through its forecast for the period 2020– 2030
Major factors driving the market and their impact during the short, medium, and long terms
Market restraints and their impact during the short, medium, and long terms
Recent trends and evolving opportunities for the market participants
Historical and the present size of the market segments and understand their comparative future potential