• Summary
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App Analytics Market Synopsis

App Analytics Market Size was valued at USD 6.1 Billion in 2023, and is Projected to Reach USD 40.2 Billion by 2032, Growing at a CAGR of 23.31% From 2024-2032.

The app analytics market encompasses the process of gathering, distilling, and utilizing information which is produced by the usage of mobile applications, the efficiency of certain app functions, and general applicability of different methods. This market is about tools and software used for the analysis and enhancement of business applications and software for higher usability, traffic, conversion and revenue. Event measurement analytics track and include data regarding the number of times the application is used, the length of each session, the demographic background of users, their actions within the application, and any crashes that occurred with the program to help improve the performance of the application and overall business.

Currently, more and more people around the world use smartphones and mobile applications; therefore, the market of application analytics has been growing rapidly in the last years. While there is growing awareness of leveraging analytics to support business decisions, app analytics solutions have gained much more demand. These solutions help businesses to capture and analyze data of user activity and application usage in real time and therefore businesses can easily enhance the user experiences consequently increasing engagement levels. Also, the rise of many mobile-first companies acted as a boost to the demand of app analytics that assist in evaluation of the essential parameters including, retention, average user value, as well as the cost of acquiring customers.

The market size of app analytics is anticipated to grow in the subsequent years supported innovations in artificial intelligence (AI), machine learning (ML), and cloud computing. These technologies are fine tuning mobile app data analysis making it easier for businesses to get high levels of detail on users and their trends that would have been almost impossible few years ago. In view of such development and enhancement of the features of mobile applications, it is possible for the analytics platform to get to a point where it will require more raw power to be able to handle more data. This trend is likely to spur the use of cloud app analytics that are easily scalable, flexible and can easily integrate with other business systems.

App Analytics

App Analytics Market Trend Analysis

 Integration of AI and Machine Learning in App Analytics

  • App analytics market trend that is now observable is the fact that AI and ML capabilities are becoming a part of the solution. These innovations make it possible to make accurate predictions about how various users are likely to behave in the future, and how your application is likely to perform. Using AI, the analytics tools can be designed to detect an anomaly, predict user churn, and provide suggestions that can help to increase user engagement and retention of the application. With the modern tendency of personalization of customers’ experience, AI and ML are on the rise to derive insights from piles of data. It not only makes the app analytics platforms better, but also increases the popularization of their application in retail, finance, healthcare and entertainment fields.

 Increasing Demand for Mobile App Personalization

  • Market opportunity lies in the fact that mobile app analytics is expected to grow its functionalities as more organizations seek personalization of their applications. Mobile application consumers now require more personalized touch during their interaction with mobile applications in matters concerning the contents played to them and even in the advertisements that they come across. Real – time app analytics tools among them, allow business organizations to gather all the necessary statistical data that helps to design tailored user experience and enhance the overall engagement levels among users. Through the use of better segmentation, app developers should be able to develop an engaging user journey for every single user in a given application. While mobile app personalization becomes a critical feature for many businesses, more and more companies seek for precise app analytics tools to back the tendency.

App Analytics Market Segment Analysis:

App Analytics Market is segmented based on Outlook, Application, Industry Verticals, and Region.

By Outlook, Web –based segment is expected to dominate the market during the forecast period

  • It is of understanding that the web-based segments would contribute to the greater share for the app analytics market through the forecast period considering the continuous shift of companies towards cloud solutions in order to gain real-time, remote access to analytics data. One of the features of web-based app analytics platform is that businesses can gather performance data from any geography thus paving way for considerably more versatile decision making as well as better integration across teams. Moreover, such platforms are noteworthy due to the generally lower investment necessary at the start as these are usually subscription-based platforms and minimal need for businesses to devote resources to the creation of on-premise IT environments. Web-based solutions are also preferred due to the ease of integration especially to businesses across all industries and in various tiers of business whether it is on start-up or more established businesses so that they may be able to suitably gear up their analytics to suit the increasing number of users of the mobile app.
  • Furthermore, web based app analytics systems are fully compatible with other cloud systems, including CRM systems, marketing systems, and business intelligence systems. The combination of these two tools produces a more coherent environment for data handling and analysis thus enhancing eventual business performance. Increase in demand for cloud technologies together with increased data processing and analytics capabilities in real-time is also propelling the use of web-based solutions. Ongoing trends towards agility, cost effectiveness and wide availability mean that the web based segment is expected to lead the market, providing a flexible and extensible platform for addressing the need for enhancing the efficiency and effectiveness of mobile application usage.

By Application, Revenue Analytics, segment expected to held the largest share

  • The revenue analytics segment is said to have the highest market share in the app analytics market for the forecast period due to rising business concentration on tapping more revenue through online applications. Thus, as more companies shift towards placing mobile applications as the primary point of contact with the customer, metrics related to revenue, like CLV, ARPU, and in-app purchases, have become important. Revenue analytics tools help businesses understand users’ behavior and their spending propensity allowing for better approaches and solutions to increasing revenue, to discover new revenue generation opportunities and to increase the conversion rates between users and businesses. Using these analytics businesses can employ specific strategies and use targeted promotions which will in turn ensure maximum value from the business’s mobile applications.
  • Also, various subscription-based business models and in-app purchases in mobile applications also grow interest in more effective revenue analytics ourselves. As people are increasingly making payments for the services they receive from apps, keeping tabs on revenue streams, customers, and profitability may help businesses succeed. Businesses are able to obtain revenue trends about their product sales, predict future earnings, and fine tune their selling price strategies for improved profitability through revenue analytics platforms. This segment is projected to experience more growth as organizations begin to appreciate the meanings of harnessing data to enhance app monetization and sustain market edge in the ever fragile mobile application economy.

App Analytics Market Regional Insights:

North America is Expected to Dominate the Market Over the Forecast period

  • Furthermore, equally to the technological development’s speed in the North America region and the increased number of consumers whose needs meet the developed and sophisticated technologies, the above-mentioned market is expected to dominate in 2023. There is however a densely populated market for apps analytics in the US due to significant stakeholders in the country and highly mobile app developers and businesses which rely strongly on analytics for better functionality of their apps. The involvement of world’s prominent app analytics industry players like Google, Adobe, and Amazon also drives the market enlargement in the region. It was forecasted that North American market will dominate 40% of the total market by 2023 and a major contribution comes from the United States. The supported infrastructure along with the higher level of smartphone usage and a developed Tech-startup culture remain to be a positive market background.

App Analytics

 Active Key Players in the App Analytics Market

  • Adjust (Germany)
  • Adobe (USA)
  • Amazon Web Services (USA)
  • App Annie (USA)
  • Apsalar (USA)
  • Clevertap (India)
  • Countly (Turkey)
  • Firebase (USA)
  • Flurry (USA)
  • Google (USA)
  • Heap Analytics (USA)
  • Kochava (USA)
  • Localytics (USA)
  • Mixpanel (USA)
  • Piwik PRO (Poland)
  • Other Active Players

Key Industry Development:

  • In September 2024, BrowserStack introduced App Accessibility Testing, enabling developers to ensure inclusive mobile experiences for all users. This new feature allows comprehensive accessibility evaluations across devices and platforms. Additionally, BrowserStack has announced the acquisition of accessibility-focused startup EqualTech, aiming to enhance its tools for building compliant and user-friendly apps. These advancements reaffirm BrowserStack’s commitment to fostering digital inclusivity and innovation in app development.
  • In August 2024, Quantiphi was recognized for the second time in the 2024 PEAK Matrix® for Analytics and AI Services, affirming its strong performance in delivering innovative AI and analytics solutions. The recognition highlights Quantiphi’s commitment to driving business transformations with cutting-edge technologies, solidifying its position as a leader in the AI services industry.
 

App Analytics Market

Base Year:

2023

Forecast Period:

2024-2032

Historical Data:

2017 to 2023

Market Size in 2023:

USD 6.1 Billion

Forecast Period 2024-32 CAGR:

 23.31%

Market Size in 2032:

USD 40.2 Billion

Segments Covered:

By Outlook

  • Web-Based
  • Mobile-Based

By Application

  • Revenue Analytics
  • App Performance Analytics and Operations
  • Crash Analytics
  • Cross Platform Analysis
  • User Analytics
  • In-Behavioral Analytics
  • Ad Monitoring and Marketing Analytics
  • Campaign Analytics
  • Others

By Industry verticals

  • BFSI
  • Retail
  • Media and Entertainment
  • Logistics, Travel, and Transport (LTT)
  • Telecom and IT
  • Healthcare
  • Hospitality
  • Others

By Region

  • North America (U.S., Canada, Mexico)
  • Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
  • Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
  • Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New-Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
  • South America (Brazil, Argentina, Rest of SA)

Key Market Drivers:

  •  Integration of AI and Machine Learning in App Analytics

Key Market Restraints:

  •  Data privacy concerns and regulations

Key Opportunities:

  •  Increasing Demand for Mobile App Personalization

Companies Covered in the report:

  • Google, Adobe, Amazon Web Services, Mixpanel, Flurry and Other Active Players.

Chapter 1: Introduction
 1.1 Scope and Coverage

Chapter 2:Executive Summary

Chapter 3: Market Landscape
 3.1 Market Dynamics
  3.1.1 Drivers
  3.1.2 Restraints
  3.1.3 Opportunities
  3.1.4 Challenges
 3.2 Market Trend Analysis
 3.3 PESTLE Analysis
 3.4 Porter's Five Forces Analysis
 3.5 Industry Value Chain Analysis
 3.6 Ecosystem
 3.7 Regulatory Landscape
 3.8 Price Trend Analysis
 3.9 Patent Analysis
 3.10 Technology Evolution
 3.11 Investment Pockets
 3.12 Import-Export Analysis

Chapter 4: App Analytics Market by Outlook
 4.1 App Analytics Market Snapshot and Growth Engine
 4.2 App Analytics Market Overview
 4.3 Web-Based
  4.3.1 Introduction and Market Overview
  4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.3.3 Key Market Trends, Growth Factors and Opportunities
  4.3.4 Web-Based: Geographic Segmentation Analysis
 4.4 Mobile-Based
  4.4.1 Introduction and Market Overview
  4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.4.3 Key Market Trends, Growth Factors and Opportunities
  4.4.4 Mobile-Based: Geographic Segmentation Analysis

Chapter 5: App Analytics Market by Application
 5.1 App Analytics Market Snapshot and Growth Engine
 5.2 App Analytics Market Overview
 5.3 Revenue Analytics
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Revenue Analytics : Geographic Segmentation Analysis
 5.4 App Performance Analytics and Operations
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 App Performance Analytics and Operations: Geographic Segmentation Analysis
 5.5 Crash Analytics Cross Platform Analysis
  5.5.1 Introduction and Market Overview
  5.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.5.3 Key Market Trends, Growth Factors and Opportunities
  5.5.4 Crash Analytics Cross Platform Analysis : Geographic Segmentation Analysis
 5.6 User Analytics
  5.6.1 Introduction and Market Overview
  5.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.6.3 Key Market Trends, Growth Factors and Opportunities
  5.6.4 User Analytics : Geographic Segmentation Analysis
 5.7 In-Behavioral Analytics Ad Monitoring and ing Analytics
  5.7.1 Introduction and Market Overview
  5.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.7.3 Key Market Trends, Growth Factors and Opportunities
  5.7.4 In-Behavioral Analytics Ad Monitoring and ing Analytics: Geographic Segmentation Analysis
 5.8 Campaign Analytics
  5.8.1 Introduction and Market Overview
  5.8.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.8.3 Key Market Trends, Growth Factors and Opportunities
  5.8.4 Campaign Analytics: Geographic Segmentation Analysis
 5.9 Others
  5.9.1 Introduction and Market Overview
  5.9.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.9.3 Key Market Trends, Growth Factors and Opportunities
  5.9.4 Others: Geographic Segmentation Analysis

Chapter 6: App Analytics Market by Industry Verticals
 6.1 App Analytics Market Snapshot and Growth Engine
 6.2 App Analytics Market Overview
 6.3 BFSI
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 BFSI: Geographic Segmentation Analysis
 6.4 Retail
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Retail : Geographic Segmentation Analysis
 6.5 Media and Entertainment
  6.5.1 Introduction and Market Overview
  6.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.5.3 Key Market Trends, Growth Factors and Opportunities
  6.5.4 Media and Entertainment: Geographic Segmentation Analysis
 6.6 Logistics
  6.6.1 Introduction and Market Overview
  6.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.6.3 Key Market Trends, Growth Factors and Opportunities
  6.6.4 Logistics: Geographic Segmentation Analysis
 6.7 Travel
  6.7.1 Introduction and Market Overview
  6.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.7.3 Key Market Trends, Growth Factors and Opportunities
  6.7.4 Travel: Geographic Segmentation Analysis
 6.8 and Transport (LTT)
  6.8.1 Introduction and Market Overview
  6.8.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.8.3 Key Market Trends, Growth Factors and Opportunities
  6.8.4 and Transport (LTT): Geographic Segmentation Analysis
 6.9 Telecom and IT
  6.9.1 Introduction and Market Overview
  6.9.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.9.3 Key Market Trends, Growth Factors and Opportunities
  6.9.4 Telecom and IT : Geographic Segmentation Analysis
 6.10 Healthcare
  6.10.1 Introduction and Market Overview
  6.10.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.10.3 Key Market Trends, Growth Factors and Opportunities
  6.10.4 Healthcare : Geographic Segmentation Analysis
 6.11 Hospitality
  6.11.1 Introduction and Market Overview
  6.11.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.11.3 Key Market Trends, Growth Factors and Opportunities
  6.11.4 Hospitality: Geographic Segmentation Analysis
 6.12 Others
  6.12.1 Introduction and Market Overview
  6.12.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.12.3 Key Market Trends, Growth Factors and Opportunities
  6.12.4 Others: Geographic Segmentation Analysis

Chapter 7: Company Profiles and Competitive Analysis
 7.1 Competitive Landscape
  7.1.1 Competitive Benchmarking
  7.1.2 App Analytics Market Share by Manufacturer (2023)
  7.1.3 Industry BCG Matrix
  7.1.4 Heat Map Analysis
  7.1.5 Mergers and Acquisitions
  
 7.2 ADJUST (GERMANY)
  7.2.1 Company Overview
  7.2.2 Key Executives
  7.2.3 Company Snapshot
  7.2.4 Role of the Company in the Market
  7.2.5 Sustainability and Social Responsibility
  7.2.6 Operating Business Segments
  7.2.7 Product Portfolio
  7.2.8 Business Performance
  7.2.9 Key Strategic Moves and Recent Developments
  7.2.10 SWOT Analysis
 7.3 ADOBE (USA)
 7.4 AMAZON WEB SERVICES (USA)
 7.5 APP ANNIE (USA)
 7.6 APSALAR (USA)
 7.7 CLEVERTAP (INDIA)
 7.8 COUNTLY (TURKEY)
 7.9 FIREBASE (USA)
 7.10 FLURRY (USA)
 7.11 GOOGLE (USA)
 7.12 HEAP ANALYTICS (USA)
 7.13 KOCHAVA (USA)
 7.14 LOCALYTICS (USA)
 7.15 MIXPANEL (USA)
 7.16 PIWIK PRO (POLAND)
 7.17 OTHER ACTIVE PLAYERS

Chapter 8: Global App Analytics Market By Region
 8.1 Overview
8.2. North America App Analytics Market
  8.2.1 Key Market Trends, Growth Factors and Opportunities
  8.2.2 Top Key Companies
  8.2.3 Historic and Forecasted Market Size by Segments
  8.2.4 Historic and Forecasted Market Size By Outlook
  8.2.4.1 Web-Based
  8.2.4.2 Mobile-Based
  8.2.5 Historic and Forecasted Market Size By Application
  8.2.5.1 Revenue Analytics
  8.2.5.2 App Performance Analytics and Operations
  8.2.5.3 Crash Analytics Cross Platform Analysis
  8.2.5.4 User Analytics
  8.2.5.5 In-Behavioral Analytics Ad Monitoring and ing Analytics
  8.2.5.6 Campaign Analytics
  8.2.5.7 Others
  8.2.6 Historic and Forecasted Market Size By Industry Verticals
  8.2.6.1 BFSI
  8.2.6.2 Retail
  8.2.6.3 Media and Entertainment
  8.2.6.4 Logistics
  8.2.6.5 Travel
  8.2.6.6 and Transport (LTT)
  8.2.6.7 Telecom and IT
  8.2.6.8 Healthcare
  8.2.6.9 Hospitality
  8.2.6.10 Others
  8.2.7 Historic and Forecast Market Size by Country
  8.2.7.1 US
  8.2.7.2 Canada
  8.2.7.3 Mexico
8.3. Eastern Europe App Analytics Market
  8.3.1 Key Market Trends, Growth Factors and Opportunities
  8.3.2 Top Key Companies
  8.3.3 Historic and Forecasted Market Size by Segments
  8.3.4 Historic and Forecasted Market Size By Outlook
  8.3.4.1 Web-Based
  8.3.4.2 Mobile-Based
  8.3.5 Historic and Forecasted Market Size By Application
  8.3.5.1 Revenue Analytics
  8.3.5.2 App Performance Analytics and Operations
  8.3.5.3 Crash Analytics Cross Platform Analysis
  8.3.5.4 User Analytics
  8.3.5.5 In-Behavioral Analytics Ad Monitoring and ing Analytics
  8.3.5.6 Campaign Analytics
  8.3.5.7 Others
  8.3.6 Historic and Forecasted Market Size By Industry Verticals
  8.3.6.1 BFSI
  8.3.6.2 Retail
  8.3.6.3 Media and Entertainment
  8.3.6.4 Logistics
  8.3.6.5 Travel
  8.3.6.6 and Transport (LTT)
  8.3.6.7 Telecom and IT
  8.3.6.8 Healthcare
  8.3.6.9 Hospitality
  8.3.6.10 Others
  8.3.7 Historic and Forecast Market Size by Country
  8.3.7.1 Bulgaria
  8.3.7.2 The Czech Republic
  8.3.7.3 Hungary
  8.3.7.4 Poland
  8.3.7.5 Romania
  8.3.7.6 Rest of Eastern Europe
8.4. Western Europe App Analytics Market
  8.4.1 Key Market Trends, Growth Factors and Opportunities
  8.4.2 Top Key Companies
  8.4.3 Historic and Forecasted Market Size by Segments
  8.4.4 Historic and Forecasted Market Size By Outlook
  8.4.4.1 Web-Based
  8.4.4.2 Mobile-Based
  8.4.5 Historic and Forecasted Market Size By Application
  8.4.5.1 Revenue Analytics
  8.4.5.2 App Performance Analytics and Operations
  8.4.5.3 Crash Analytics Cross Platform Analysis
  8.4.5.4 User Analytics
  8.4.5.5 In-Behavioral Analytics Ad Monitoring and ing Analytics
  8.4.5.6 Campaign Analytics
  8.4.5.7 Others
  8.4.6 Historic and Forecasted Market Size By Industry Verticals
  8.4.6.1 BFSI
  8.4.6.2 Retail
  8.4.6.3 Media and Entertainment
  8.4.6.4 Logistics
  8.4.6.5 Travel
  8.4.6.6 and Transport (LTT)
  8.4.6.7 Telecom and IT
  8.4.6.8 Healthcare
  8.4.6.9 Hospitality
  8.4.6.10 Others
  8.4.7 Historic and Forecast Market Size by Country
  8.4.7.1 Germany
  8.4.7.2 UK
  8.4.7.3 France
  8.4.7.4 Netherlands
  8.4.7.5 Italy
  8.4.7.6 Russia
  8.4.7.7 Spain
  8.4.7.8 Rest of Western Europe
8.5. Asia Pacific App Analytics Market
  8.5.1 Key Market Trends, Growth Factors and Opportunities
  8.5.2 Top Key Companies
  8.5.3 Historic and Forecasted Market Size by Segments
  8.5.4 Historic and Forecasted Market Size By Outlook
  8.5.4.1 Web-Based
  8.5.4.2 Mobile-Based
  8.5.5 Historic and Forecasted Market Size By Application
  8.5.5.1 Revenue Analytics
  8.5.5.2 App Performance Analytics and Operations
  8.5.5.3 Crash Analytics Cross Platform Analysis
  8.5.5.4 User Analytics
  8.5.5.5 In-Behavioral Analytics Ad Monitoring and ing Analytics
  8.5.5.6 Campaign Analytics
  8.5.5.7 Others
  8.5.6 Historic and Forecasted Market Size By Industry Verticals
  8.5.6.1 BFSI
  8.5.6.2 Retail
  8.5.6.3 Media and Entertainment
  8.5.6.4 Logistics
  8.5.6.5 Travel
  8.5.6.6 and Transport (LTT)
  8.5.6.7 Telecom and IT
  8.5.6.8 Healthcare
  8.5.6.9 Hospitality
  8.5.6.10 Others
  8.5.7 Historic and Forecast Market Size by Country
  8.5.7.1 China
  8.5.7.2 India
  8.5.7.3 Japan
  8.5.7.4 South Korea
  8.5.7.5 Malaysia
  8.5.7.6 Thailand
  8.5.7.7 Vietnam
  8.5.7.8 The Philippines
  8.5.7.9 Australia
  8.5.7.10 New Zealand
  8.5.7.11 Rest of APAC
8.6. Middle East & Africa App Analytics Market
  8.6.1 Key Market Trends, Growth Factors and Opportunities
  8.6.2 Top Key Companies
  8.6.3 Historic and Forecasted Market Size by Segments
  8.6.4 Historic and Forecasted Market Size By Outlook
  8.6.4.1 Web-Based
  8.6.4.2 Mobile-Based
  8.6.5 Historic and Forecasted Market Size By Application
  8.6.5.1 Revenue Analytics
  8.6.5.2 App Performance Analytics and Operations
  8.6.5.3 Crash Analytics Cross Platform Analysis
  8.6.5.4 User Analytics
  8.6.5.5 In-Behavioral Analytics Ad Monitoring and ing Analytics
  8.6.5.6 Campaign Analytics
  8.6.5.7 Others
  8.6.6 Historic and Forecasted Market Size By Industry Verticals
  8.6.6.1 BFSI
  8.6.6.2 Retail
  8.6.6.3 Media and Entertainment
  8.6.6.4 Logistics
  8.6.6.5 Travel
  8.6.6.6 and Transport (LTT)
  8.6.6.7 Telecom and IT
  8.6.6.8 Healthcare
  8.6.6.9 Hospitality
  8.6.6.10 Others
  8.6.7 Historic and Forecast Market Size by Country
  8.6.7.1 Turkey
  8.6.7.2 Bahrain
  8.6.7.3 Kuwait
  8.6.7.4 Saudi Arabia
  8.6.7.5 Qatar
  8.6.7.6 UAE
  8.6.7.7 Israel
  8.6.7.8 South Africa
8.7. South America App Analytics Market
  8.7.1 Key Market Trends, Growth Factors and Opportunities
  8.7.2 Top Key Companies
  8.7.3 Historic and Forecasted Market Size by Segments
  8.7.4 Historic and Forecasted Market Size By Outlook
  8.7.4.1 Web-Based
  8.7.4.2 Mobile-Based
  8.7.5 Historic and Forecasted Market Size By Application
  8.7.5.1 Revenue Analytics
  8.7.5.2 App Performance Analytics and Operations
  8.7.5.3 Crash Analytics Cross Platform Analysis
  8.7.5.4 User Analytics
  8.7.5.5 In-Behavioral Analytics Ad Monitoring and ing Analytics
  8.7.5.6 Campaign Analytics
  8.7.5.7 Others
  8.7.6 Historic and Forecasted Market Size By Industry Verticals
  8.7.6.1 BFSI
  8.7.6.2 Retail
  8.7.6.3 Media and Entertainment
  8.7.6.4 Logistics
  8.7.6.5 Travel
  8.7.6.6 and Transport (LTT)
  8.7.6.7 Telecom and IT
  8.7.6.8 Healthcare
  8.7.6.9 Hospitality
  8.7.6.10 Others
  8.7.7 Historic and Forecast Market Size by Country
  8.7.7.1 Brazil
  8.7.7.2 Argentina
  8.7.7.3 Rest of SA

Chapter 9 Analyst Viewpoint and Conclusion
9.1 Recommendations and Concluding Analysis
9.2 Potential Market Strategies

Chapter 10 Research Methodology
10.1 Research Process
10.2 Primary Research
10.3 Secondary Research
 

App Analytics Market

Base Year:

2023

Forecast Period:

2024-2032

Historical Data:

2017 to 2023

Market Size in 2023:

USD 6.1 Billion

Forecast Period 2024-32 CAGR:

 23.31%

Market Size in 2032:

USD 40.2 Billion

Segments Covered:

By Outlook

  • Web-Based
  • Mobile-Based

By Application

  • Revenue Analytics
  • App Performance Analytics and Operations
  • Crash Analytics
  • Cross Platform Analysis
  • User Analytics
  • In-Behavioral Analytics
  • Ad Monitoring and Marketing Analytics
  • Campaign Analytics
  • Others

By Industry verticals

  • BFSI
  • Retail
  • Media and Entertainment
  • Logistics, Travel, and Transport (LTT)
  • Telecom and IT
  • Healthcare
  • Hospitality
  • Others

By Region

  • North America (U.S., Canada, Mexico)
  • Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
  • Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
  • Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New-Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
  • South America (Brazil, Argentina, Rest of SA)

Key Market Drivers:

  •  Integration of AI and Machine Learning in App Analytics

Key Market Restraints:

  •  Data privacy concerns and regulations

Key Opportunities:

  •  Increasing Demand for Mobile App Personalization

Companies Covered in the report:

  • Google, Adobe, Amazon Web Services, Mixpanel, Flurry and Other Active Players.
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Frequently Asked Questions :

What would be the forecast period in the App Analytics Market research report?

The forecast period in the App Analytics Market research report is 2024-2032.

Who are the key players in the App Analytics Market?

Google, Adobe, Amazon Web Services, Mixpanel, Flurry, and Other Active Players.

What are the segments of the App Analytics Market?

The App Analytics Market is segmented into Outlook, Application, Industry Verticals and region. By Outlook, the market is categorized into Web-Based, Mobile-Based. By Application, the market is categorized into Revenue Analytics, App Performance Analytics and Operations, Crash Analytics, Cross Platform Analysis, User Analytics, In-Behavioral Analytics, Ad Monitoring and Marketing Analytics, Campaign Analytics, Others. By Industry Verticals, the market is categorized into BFSI, Retail, Media and Entertainment, Logistics, Travel, and Transport (LTT)Telecom and IT, Healthcare, Hospitality, Others. By region, it is analyzed across North America (U.S.; Canada; Mexico), Eastern Europe (Bulgaria; The Czech Republic; Hungary; Poland; Romania; Rest of Eastern Europe), Western Europe (Germany; UK; France; Netherlands; Italy; Russia; Spain; Rest of Western Europe), Asia-Pacific (China; India; Japan; Southeast Asia, etc.), South America (Brazil; Argentina, etc.), Middle East & Africa (Saudi Arabia; South Africa, etc.).

What is the App Analytics Market?

The app analytics market refers to the collection, analysis, and use of data generated by mobile applications to monitor user behavior, app performance, and overall effectiveness. This market includes tools and software solutions that help businesses optimize their apps for better user experience, engagement, retention, and monetization. App analytics tools track various metrics such as app usage frequency, session length, user demographics, in-app actions, and crash reports to provide actionable insights that enhance the app's performance and drive business growth.

How big is the App Analytics Market?

App Analytics Market Size Was Valued at USD 6.1 Billion in 2023, and is Projected to Reach USD 40.2 Billion by 2032, Growing at a CAGR of 23.31% From 2024-2032.