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Bizwit Research & Consulting LLP is a global provider of business intelligence & consulting services. We have a strong primary base of key industry leaders along with the chain of industry analysts to analyze the market trends and its future impact in order to estimates and forecast different business segments and markets. 

With the emergence and long-term Impact of COVID-19, the Global Wi-Fi Analytics Market is to reach USD XX Billion by 2030

Bizwit Research & Consulting LLP’s Recent Analysis on Global Wi-Fi Analytics Market is poised to raise up to USD XX Billion by 2030. Wi-Fi analytics refers to the process of collecting, analyzing, and interpreting data generated by Wi-Fi networks to gain valuable insights into user behavior, preferences, and trends. This technology leverages the information exchanged between Wi-Fi-enabled devices and the network infrastructure to extract meaningful data, such as foot traffic patterns, dwell times, and popular areas within a given physical space. Wi-Fi analytics systems often utilize various metrics, including the number of connected devices, signal strength, and device movement, to provide businesses and organizations with valuable information about user engagement and the overall performance of their Wi-Fi network.

The Wi-Fi Analytics market is expanding because of factors such as increasing use of smartphones and smart devices, increasing deployment of public wi-fi across physical venues and increasing deployment of broadband connection. The escalating number of public hotspots is a driving force behind the growth of the Wi-Fi analytics market. As the demand for seamless and high-speed internet connectivity continues to surge, there has been a significant proliferation of public Wi-Fi hotspots in various locations such as airports, coffee shops, shopping malls, and public transportation hubs. According to Statista, in year 2019 the number of public hotspots across the globe stood at 362 million which increased to 549 million public hotspots in year 2022.

In addition, rise in adoption of big data analytics and increase in investment on Wi-Fi analytics is creating new opportunities for the market growth. The BLA is planned to be submitted by the end of Q4 2023. The successful launch of this product may provide patients with an alternate option. However, Data security issues stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Wi-Fi Analytics Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in 2022 owing to the rapid advancements in the Internet of Things (IoT) are bolstering the market’s economic performance. Furthermore, the increasing embrace of big data analytics across various sectors, such as government bodies, media & entertainment, and healthcare, in countries such as the U.S. and Canada, is playing a pivotal role in driving revenue growth in the regional market. The presence of numerous market players is anticipated to contribute significantly to the overall revenue growth trajectory during the forecast period.

Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as rising penetration of smart phones, and internet in the region.

The global Wi-Fi Analytics Market is highly competitive owing to the presence of several key manufacturers such as Cloud4Wi, Inc, Yelp Wi-Fi Inc., Aruba Networks, Cisco Systems, Inc., Purple WiFi Ltd, GoZone WiFi, LLC, and others.

For further analysis on this or to request a sample copy of this report, please click the link mentioned below:

Global Wi-Fi Analytics Market Size study & Forecast, by Component (Solution, Service) by Deployment (On premise, Cloud), by Application (Wi-Fi Presence Analytics, Wi-Fi Marketing Analytics), by Industry Vertical (Retail, Hospitality, Sports & Entertainment, Transportation, Healthcare, Others) and Regional Analysis, 2023-2030

Key findings of the study suggest:

  • Global Wi-Fi Analytics Market is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2023-2030.
  • In the deployment segment, cloud emerged as the leading market segment in 2022.
  • North America is anticipated to drive regional growth owing to rapid advancements in the Internet of Things (IoT).
  • Asia Pacific is expected to grow at a high CAGR followed by North America during 2023-2030.

Bizwit Research & Consulting has considered the following segments for the study:

By Component:

  • Solution
  • Service

By Deployment:

  • On premise
  • Cloud

By Application:

  • Wi-Fi Presence Analytics
  • Wi-Fi Marketing Analytics

By Industry Vertical:

  • Retail
  • Hospitality
  • Sports & Entertainment
  • Transportation
  • Healthcare
  • Others

Regional Outlook

  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Spain
    • Italy
    • ROE
  • Asia Pacific
    • China
    • India
    • Japan
    • Korea
    • Australia
    • RoAPAC
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • Saudi Arabia
    • South Africa
    • Rest of Middle East & Africa

To get a sample of this report or to purchase a copy of the study, you can directly contact us at: sales@bizwitresearch.com

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Bizwit Research & Consulting LLP is a global provider of business intelligence & consulting services. The company has a strong primary base of key industry leaders along with the chain of industry analysts to analyze the market trends and its future impact in order to estimates and forecast different business segments and markets. Bizwit incorporate big data, expert analysis, and huge industry database to deliver client focused business consulting reports. Our analysts perform unbiased measurement and assessment of market opportunities to comprehend detailed market forecast. Our team of key opinion leaders evaluates the market size, growth prospects, end-use, applications, value & supply chain and top vendors in the industry to help the clients to take conversant business decisions without any vague assumptions.

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