The mobile analytics market was valued at USD 3.27 billion in 2019, and it is expected to reach a value of USD 11.38 billion by 2025 at a CAGR of 23.12% over the forecast period (2020-2025). When compared to traditional web-based analytics platforms, mobile analytics, which majorly depend upon apps are far convenient and more accurate. As most of the mobile analytics tools use an SDK in order to track the user activity, vendors can use various codes to track custom events, depending on the operating system.

• Unlike web analytics, the SDKs do not depend on cookies etc., to uniquely identify a user. Hence, when compared to several other approaches, its more likely that mobile analytics generate more accurate results. Also, when compared to general desktop usage, mobile phones are responsible for most of the internet traffic globally.
• The retail sector, especially e-commerce operations, is expected to be the major demand for mobile analytics solutions, closely followed by the banking sector. The increasing demand for automation in the BFSI sector and efforts of the e-commerce companies to create personalized shopping experience are expected to draw huge revenues to the mobile analytics market, globally.
• The rapid growth in mobile users has primarily resulted in the boost of the mobile application development industry. The mobile application development companies have been assisting businesses in planning and designing their top mobile apps that are unique yet meet the client's norms.
• Moreover, there has been an increased dependency on mobile apps to perform user's day to day tasks. These apps majorly utilize a tremendous amount of data. To efficiently analyze and manage this humongous data, a robust analytics solution is required. This is where data analytics plays a very crucial role. It assists various companies in getting data-driven insight from these apps.
• The coronavirus pandemic (COVID-19) has posed unprecedented challenges for the governments and societies across the world. The non-pharmaceutical interventions are also proving to be critical for delaying and containing the COVID-19 pandemic. The anonymized mobile phone data have been assisting the modeling of the geographical spread of the epidemic. Thus, researchers and governments in multiple countries have started to collaborate with private companies, majorly the mobile network operators and location intelligence companies, to estimate the effectiveness of control measures.