Mobile Analytics Market Size, Share & Industry Analysis, By Type (Advertising/Marketing Analytics, In-App Analytics, Performance Analytics, Others), By Deployment (Cloud, On-premises), By End-user (BFSI, Retail & E-Commerce, IT & Telecommunication, Transportation & Logistics, Energy & Utility)And Regional Forecast, 2024-2032

Mobile analytics solutions analyze and measure the data generated by mobile properties and applications platforms. In addition, mobile app analytics software normally helps to monitor with mobile app’s performance and augment end-user engagement with applications.

The integration of advanced technologies such as artificial intelligence (AI), cloud, and machine learning (ML) with mobile analytics is expected to boost the demand for mobile analytics solutions. Mobile analytics solutions support enterprises to derive analysis of user usage and offer enhanced customer experience. The rising adoption of mobile analytics solutions in various industries such as BFSI, retail & e-Commerce, transportation & logistics, IT & telecom, among others are also likely to propel the market growth. Key players in this market are focusing on new product launches to increase the mobile app revenue and customer experience. For instance, in December 2019, Amazon Web Services Inc. (AWS) launched new analytics capabilities - "Redshift RA3". These new Redshift capabilities can help consumers to embrace data, scale compute, and storage data separately. The rising awareness over the benefits of mobile analytics functionalities is expected to strengthen the market growth. However, data security concerns are anticipated to hinder the market growth.  

KEY PLAYERS COVERED

Various market players are focused on offering advanced mobile analytics solutions to gain a competitive edge in the market. Key players are also focused on R&D investments in mobile analytics solutions to cater to the rising demand from the consumers. Also, the rising preference of customers towards the cloud, big data, artificial intelligence (AI), and machine learning (ML) enabled mobile analytics solutions is expected to present growth opportunities for new market entrants. Some of the key players in this market are IBM Corporation, Oracle Corporation, Microsoft Corporation, Adobe Systems Incorporated, Webtrends, Inc., Yahoo! Inc. (Flurry Analytics), Localytics Company, Tune, Inc., Countly, Apple Inc., Mixpanel, Amplitude, Inc., Alphabet Inc. (Google LLC), UXCam Inc., Facebook, Inc., Interceptd, and others.

REGIONAL ANALYSIS

North America is expected to lead the market in terms of share during the forecast period. The growth is owing to the increase in demand for mobile analytics solutions in various verticals such as manufacturing, BFSI, IT and telecom, healthcare, and others. Also, the growing input tax credit (ITC) expenditure and technological advancements across the region are anticipated to drive the market. Key players in this region are focused on launching mobile analytics solutions to gain a competitive edge in the market. For instance, in September 2019, Branch (branch.io) acquired Tune, Inc.’s team and attribution analytics platform. The aim is to develop the industry's one of the leading measurement and marketing platforms.

The Asia Pacific is expected to exhibit healthy growth in the market, owing to the presence of key market players such as Kochava, TalkingData, IS Global Web, and others. These market players are focused on investment strategy to enhance their market presence. For instance, in April 2019, CleverTap, a mobile marketing and analytics start-up company has raised around USD 26 million in a “Series B” funding round which is led by Sequoia Capital India. The aim is to enhance product capabilities and improve the customer experience.

Segmentation

Key Industry Developments

• February 2019 – GoodData partnered with Vertica to offer flexibility and seamless data integration with their embedded analytical applications.

• July 2018 – Tune, Inc. launched its updated TUNE Links solution. The aim is to provide an enhanced solution that routes, measures, and connects marketing activities across audience touchpoints with a single measurement link.