The app analytics market is projected to expand from USD 6.3 billion in 2023 to USD 15.7 billion by 2028, registering a CAGR of 20.2% during the forecast period. This growth is fueled by several key factors, including the increasing use of apps for mobile advertising, widespread adoption of digital transformation initiatives, the rising prevalence of smartphones, and the growing number of mobile and web applications.
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Services segment to account for higher CAGR during the forecast period
App analytics services provide specialized expertise and support to businesses seeking to maximize the value of their app analytics efforts. These services complement app analytics software by offering a range of tailored solutions and consulting assistance to help businesses extract meaningful insights, make informed decisions, and optimize their mobile applications. Service providers often have dedicated teams of experts who possess in-depth knowledge of app analytics methodologies, tools, and best practices.
Android software segment is expected to hold the largest market size for the year 2023
App analytics software for Android refers to the tools and platforms designed to collect, measure, and analyze data related to the usage and performance of mobile applications on the Android operating system. It enables developers and businesses to gain valuable insights into user behavior, app performance, and key metrics to optimize Android applications and drive business growth. . Data from StatCounter shows that as of June 2023, Android had a global market share of around 70.79% in the mobile operating system market, making it the dominant platform for app analytics.
The healthcare and life sciences vertical is projected to grow at the highest CAGR during the forecast period
App analytics in the healthcare & life sciences vertical involves analyzing mobile applications within the healthcare industry to gain insights and drive improvements in patient care, health outcomes, and operational efficiency. It focuses on tracking and analyzing user interactions, patient data, and healthcare processes within the app. For instance, app analytics can provide insights into patient usage patterns, medication adherence rates, and appointment scheduling. It can help identify areas for improvement, such as streamlining patient registration, optimizing appointment scheduling, or personalizing health content based on user preferences.
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Unique Features in the App Analytics Market
App analytics platforms offer deep insights into user behavior, tracking in-app activities such as session duration, navigation patterns, and feature engagement. These insights enable businesses to optimize user experience and improve app performance.
Modern app analytics tools provide real-time data, allowing organizations to make instant, data-driven decisions. This feature is particularly beneficial for marketing campaigns, as it enables immediate adjustments to improve results.
Leveraging AI and machine learning, app analytics platforms can predict user behavior, churn likelihood, and app usage trends. This helps businesses proactively address issues and enhance customer retention.
App analytics solutions integrate seamlessly across multiple platforms, including mobile apps, web apps, and desktop software. This cross-platform capability provides a unified view of user activity, regardless of the device or operating system.
These tools not only measure user engagement but also provide metrics related to app monetization. Features like ad performance analysis and in-app purchase tracking help businesses evaluate the ROI of their apps.
Major Highlights of the App Analytics Market
With businesses prioritizing user satisfaction, app analytics solutions are becoming indispensable for understanding user behavior, identifying pain points, and optimizing app performance to enhance user retention.
As mobile advertising continues to dominate digital ad spending, app analytics platforms are increasingly used to measure campaign performance, improve targeting, and maximize ad ROI.
The growing number of mobile and web applications across industries such as e-commerce, gaming, healthcare, and fintech is driving the demand for advanced analytics tools to monitor and improve app engagement and functionality.
AI-powered app analytics tools are transforming the market by offering predictive insights, anomaly detection, and automated recommendations, enabling businesses to stay ahead of trends and optimize outcomes.
The ability of app analytics solutions to provide a unified view of user activity across multiple platforms, including mobile, web, and desktop, is a major driver for organizations seeking comprehensive insights.
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Top Companies in the App Analytics Market
The report profiles key players such as Google (US), Microsoft (US), AWS (US), IBM (US), Adobe (US), SAP SE (Germany), Amplitude (US), Upland Software (US), Mixpanel (US) and Kochava (US).
Google is an American multinational company and a subsidiary of Alphabet Inc. Google’s product innovations help increase the use of its services. Google offers a range of core products and platforms that enjoy a massive user base. These include Android, Chrome, Gmail, Google Drive, Google Maps, Google Play, Search, and YouTube, with each platform attracting over 1 billion active users every month. Google has established a robust cloud-based platform and invests in areas such as infrastructure, security, data management, analytics, and AI. The company serves a global clientele spanning various industries, including automotive, BFSI, retail and eCommerce, education, energy, engineering, entertainment, environment, food and beverage, government, healthcare, manufacturing, media, telecommunications and IT, transportation, and travel and hospitality. Google Analytics is a free analytics service that offers customize tracking for mobile and web apps, internet-connected devices, and websites. Additionally, Google Firebase is a comprehensive mobile and web development platform that offers a wide range of tools and services for app analytics. It provides developers with powerful analytics capabilities to track user behavior, measure app performance, and gain valuable insights into user engagement and retention. Firebase Analytics allows developers to track various metrics, such as user demographics, app events, and in-app purchases, to understand how users interact with their apps.
Microsoft develops software, services, devices, and solutions to compete in the era of intelligent cloud and intelligent edge. With continuous investments in the mix-reality cloud, Microsoft enables customers to digitalize its business processes. Its offerings include cloud-based solutions that provide customers with software, platforms, and content and deliver solution support and consulting services for its clients. The company’s product offerings include Operating Systems (OS), cross-device productivity applications, server applications, business solution applications, desktop and server management tools, software development tools, and video games. In the app analytics market, Microsoft offers Microsoft App Center SDK, which enables customers to understand more about app users and their behavior while using their app. Moreover, it also provides Azure Synapse Analytics, an analytics service that brings together enterprise data warehousing and big data analytics. With Azure Synapse, data professionals can query both relational and non-relational data at a petabyte scale using the familiar SQL language. It is deeply integrated with Power BI and Azure Machine Learning (ML) to expand the discovery of insights from all the data and apply ML models to customers’ intelligent apps.
Adobe is a provider of digital media software services, catering to professionals, marketers, knowledge workers, students, application developers, and enterprises. Its diverse range of products and services aids in managing, delivering, measuring, and optimizing business operations. Adobe also offers licensed products through its website and application store, utilizing models such as Software-as-a-Service (SaaS), managed services, and pay-per-use. The company operates through three business segments: digital media, digital experience, and publishing. It also provides the Adobe Experience Platform, empowering clients to gain valuable customer insights for enhanced decision-making. Adobe Analytics enables web, mobile, video, social, and other analytics to improve and enhance marketing activities. It allows customers to perform advanced ad-hoc segmentation and incorporate information from third-party and offline sources. Adobe’s mobile apps and web analytics service provides customers with real-time analytics and helps track the performance of apps and user interactions. It operates in various regions, including North America, Europe, Asia Pacific, and the Middle East & Africa.
Taplytics is a Canadian-based company that specializes in mobile app optimization and experimentation. Founded in 2013 and headquartered in Toronto, Taplytics offers a comprehensive platform for A/B testing, feature flagging, and personalized user experiences. Their software enables businesses to optimize their mobile apps by testing different features, layouts, and messaging to improve user engagement and conversion rates. Taplytics’ solutions are used by a wide range of companies across various industries to drive better app performance and enhance the overall user experience.
ContentSquare, headquartered in Paris, France, is a leading provider of digital experience analytics solutions. Founded in 2012, ContentSquare offers a comprehensive platform that helps businesses understand and optimize the digital experiences of their customers. Their software provides insights into user behavior, interaction, and engagement across websites and mobile apps through advanced analytics, heatmaps, session replays, and AI-driven recommendations. ContentSquare’s innovative solutions enable companies to improve conversion rates, enhance customer satisfaction, and drive revenue growth. Trusted by thousands of businesses globally, ContentSquare is at the forefront of revolutionizing digital experience optimization.
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