The global market for Mobile Analytics was estimated to be worth US$ 9500 million in 2024 and is forecast to a readjusted size of US$ 26600 million by 2031 with a CAGR of 15.0% during the forecast period 2025-2031.
Mobile analytics refers to the process of collecting, analyzing, and interpreting the data generated by mobile devices, such as smartphones and tablets, using various data analytics tools and technologies. With the rapid growth of mobile internet, smartphones have become the center of people's daily lives, and the activities performed on these devices generate vast amounts of data. Mobile analytics not only helps businesses understand user behavior, optimize products and services, but also provides decision support for marketing strategies, enhancing the competitiveness of businesses. The product scope includes user behavior analysis, application performance monitoring, mobile advertising analysis, user retention and activity assessment, among others. These analytical tools collect data on user clicks, time spent, interaction patterns, and more, providing businesses with accurate user profiles and market trends to gain an advantage in the competitive market.
The application areas of mobile analytics are wide-ranging, primarily including, but not limited to, mobile app development, mobile advertising, user experience optimization, e-commerce, and the gaming industry. Through mobile analytics, businesses can achieve real-time monitoring, data mining, and business optimization to better meet user needs and enhance user experience. With the introduction of artificial intelligence and big data technologies, the depth and breadth of mobile analytics are constantly expanding, providing businesses with richer insights and predictive capabilities. As a result, mobile analytics has become a core component of modern digital transformation and precision marketing for businesses.
With the widespread adoption of smartphones and mobile devices, the mobile analytics market is experiencing rapid growth. The main opportunities in the market lie in the richness of user behavior data and the growing demand for precise data analysis. As the application range of mobile devices continues to expand, industries such as e-commerce, finance, and entertainment are actively using mobile analytics to enhance user experience and operational efficiency. For businesses, data-driven decision-making has become a key means to enhance competitiveness.
The main driving factors include the diversification of user groups, the rapid increase in data volume, and the emphasis that businesses are placing on mobile analytics technologies. The increasing number of mobile applications and the continuous development of mobile internet provide abundant user data sources, driving the demand for mobile analytics tools and services. Additionally, the integration of artificial intelligence, big data, and machine learning technologies has further improved the accuracy and predictive capabilities of mobile analytics, injecting new vitality into the market.
However, the market also faces some risks and challenges. First, there are issues related to data privacy and security. As user data accumulates, protecting users' personal privacy has become a significant concern in the industry. Secondly, there is severe homogeneity in the technology available on the market, with many companies offering similar analytics tools, resulting in intense market competition, price wars, and service homogenization, leading to compressed profit margins for companies. Furthermore, the market concentration is relatively high, with a few technologically advanced companies dominating market development, making it difficult for small and medium-sized enterprises to break through.
In terms of downstream demand trends, as consumers' demand for personalized services increases, businesses are increasingly focusing on using mobile analytics to improve user retention and activity. Especially in e-commerce, social media, and mobile gaming industries, businesses aim to achieve better marketing conversion and user interaction through precise data analysis. The latest technological developments are centered around automated analysis, real-time data feedback, and deep data mining through artificial intelligence. These emerging technologies provide new momentum for the continuous development of the mobile analytics market.
This report aims to provide a comprehensive presentation of the global market for Mobile Analytics, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Mobile Analytics by region & country, by Type, and by Application.
The Mobile Analytics market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Mobile Analytics.
Market Segmentation
By Company
- Adobe Analytics (Adobe Experience Cloud)
- Google
- Cheetah Mobile
- King
- Gameloft
- LINE Corp
- Microsoft
- Amazon
- Outfit7
- Snapchat
- Miniclip
- Mixpanel
- Flurry (Verizon Media)
- Amplitude
- Kochava
- Adjust
- App Annie (Data.ai)
- Localytics
- Heap Analytics
- Meta Platforms
- Electronic Arts
- Tencent
- Baidu Netcom
- Ant Group
Segment by Type
- Mobile APP Analytics
- Mobile Web Analytics
- Mobile Crash Reporting
- Other Types
Segment by Application
- Android Platform
- iOS Platform
- Other Platforms
By Region
- North America
- Asia-Pacific
- China
- Japan
- South Korea
- Southeast Asia
- India
- Australia
- Rest of Asia-Pacific
- Europe
- Germany
- France
- U.K.
- Italy
- Netherlands
- Nordic Countries
- Rest of Europe
- Latin America
- Mexico
- Brazil
- Rest of Latin America
- Middle East & Africa
- Turkey
- Saudi Arabia
- UAE
- Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Mobile Analytics company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Mobile Analytics in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Mobile Analytics in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
Table of Contents
1 Market Overview
- 1.1 Mobile Analytics Product Introduction
- 1.2 Global Mobile Analytics Market Size Forecast (2020-2031)
- 1.3 Mobile Analytics Market Trends & Drivers
- 1.3.1 Mobile Analytics Industry Trends
- 1.3.2 Mobile Analytics Market Drivers & Opportunity
- 1.3.3 Mobile Analytics Market Challenges
- 1.3.4 Mobile Analytics Market Restraints
- 1.4 Assumptions and Limitations
- 1.5 Study Objectives
- 1.6 Years Considered
2 Competitive Analysis by Company
- 2.1 Global Mobile Analytics Players Revenue Ranking (2024)
- 2.2 Global Mobile Analytics Revenue by Company (2020-2025)
- 2.3 Key Companies Mobile Analytics Manufacturing Base Distribution and Headquarters
- 2.4 Key Companies Mobile Analytics Product Offered
- 2.5 Key Companies Time to Begin Mass Production of Mobile Analytics
- 2.6 Mobile Analytics Market Competitive Analysis
- 2.6.1 Mobile Analytics Market Concentration Rate (2020-2025)
- 2.6.2 Global 5 and 10 Largest Companies by Mobile Analytics Revenue in 2024
- 2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Mobile Analytics as of 2024)
- 2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
- 3.1 Introduction by Type
- 3.1.1 Mobile APP Analytics
- 3.1.2 Mobile Web Analytics
- 3.1.3 Mobile Crash Reporting
- 3.1.4 Other Types
- 3.2 Global Mobile Analytics Sales Value by Type
- 3.2.1 Global Mobile Analytics Sales Value by Type (2020 VS 2024 VS 2031)
- 3.2.2 Global Mobile Analytics Sales Value, by Type (2020-2031)
- 3.2.3 Global Mobile Analytics Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
- 4.1 Introduction by Application
- 4.1.1 Android Platform
- 4.1.2 iOS Platform
- 4.1.3 Other Platforms
- 4.2 Global Mobile Analytics Sales Value by Application
- 4.2.1 Global Mobile Analytics Sales Value by Application (2020 VS 2024 VS 2031)
- 4.2.2 Global Mobile Analytics Sales Value, by Application (2020-2031)
- 4.2.3 Global Mobile Analytics Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
- 5.1 Global Mobile Analytics Sales Value by Region
- 5.1.1 Global Mobile Analytics Sales Value by Region: 2020 VS 2024 VS 2031
- 5.1.2 Global Mobile Analytics Sales Value by Region (2020-2025)
- 5.1.3 Global Mobile Analytics Sales Value by Region (2026-2031)
- 5.1.4 Global Mobile Analytics Sales Value by Region (%), (2020-2031)
- 5.2 North America
- 5.2.1 North America Mobile Analytics Sales Value, 2020-2031
- 5.2.2 North America Mobile Analytics Sales Value by Country (%), 2024 VS 2031
- 5.3 Europe
- 5.3.1 Europe Mobile Analytics Sales Value, 2020-2031
- 5.3.2 Europe Mobile Analytics Sales Value by Country (%), 2024 VS 2031
- 5.4 Asia Pacific
- 5.4.1 Asia Pacific Mobile Analytics Sales Value, 2020-2031
- 5.4.2 Asia Pacific Mobile Analytics Sales Value by Region (%), 2024 VS 2031
- 5.5 South America
- 5.5.1 South America Mobile Analytics Sales Value, 2020-2031
- 5.5.2 South America Mobile Analytics Sales Value by Country (%), 2024 VS 2031
- 5.6 Middle East & Africa
- 5.6.1 Middle East & Africa Mobile Analytics Sales Value, 2020-2031
- 5.6.2 Middle East & Africa Mobile Analytics Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
- 6.1 Key Countries/Regions Mobile Analytics Sales Value Growth Trends, 2020 VS 2024 VS 2031
- 6.2 Key Countries/Regions Mobile Analytics Sales Value, 2020-2031
- 6.3 United States
- 6.3.1 United States Mobile Analytics Sales Value, 2020-2031
- 6.3.2 United States Mobile Analytics Sales Value by Type (%), 2024 VS 2031
- 6.3.3 United States Mobile Analytics Sales Value by Application, 2024 VS 2031
- 6.4 Europe
- 6.4.1 Europe Mobile Analytics Sales Value, 2020-2031
- 6.4.2 Europe Mobile Analytics Sales Value by Type (%), 2024 VS 2031
- 6.4.3 Europe Mobile Analytics Sales Value by Application, 2024 VS 2031
- 6.5 China
- 6.5.1 China Mobile Analytics Sales Value, 2020-2031
- 6.5.2 China Mobile Analytics Sales Value by Type (%), 2024 VS 2031
- 6.5.3 China Mobile Analytics Sales Value by Application, 2024 VS 2031
- 6.6 Japan
- 6.6.1 Japan Mobile Analytics Sales Value, 2020-2031
- 6.6.2 Japan Mobile Analytics Sales Value by Type (%), 2024 VS 2031
- 6.6.3 Japan Mobile Analytics Sales Value by Application, 2024 VS 2031
- 6.7 South Korea
- 6.7.1 South Korea Mobile Analytics Sales Value, 2020-2031
- 6.7.2 South Korea Mobile Analytics Sales Value by Type (%), 2024 VS 2031
- 6.7.3 South Korea Mobile Analytics Sales Value by Application, 2024 VS 2031
- 6.8 Southeast Asia
- 6.8.1 Southeast Asia Mobile Analytics Sales Value, 2020-2031
- 6.8.2 Southeast Asia Mobile Analytics Sales Value by Type (%), 2024 VS 2031
- 6.8.3 Southeast Asia Mobile Analytics Sales Value by Application, 2024 VS 2031
- 6.9 India
- 6.9.1 India Mobile Analytics Sales Value, 2020-2031
- 6.9.2 India Mobile Analytics Sales Value by Type (%), 2024 VS 2031
- 6.9.3 India Mobile Analytics Sales Value by Application, 2024 VS 2031
7 Company Profiles
- 7.1 Adobe Analytics (Adobe Experience Cloud)
- 7.1.1 Adobe Analytics (Adobe Experience Cloud) Profile
- 7.1.2 Adobe Analytics (Adobe Experience Cloud) Main Business
- 7.1.3 Adobe Analytics (Adobe Experience Cloud) Mobile Analytics Products, Services and Solutions
- 7.1.4 Adobe Analytics (Adobe Experience Cloud) Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.1.5 Adobe Analytics (Adobe Experience Cloud) Recent Developments
- 7.2 Google
- 7.2.1 Google Profile
- 7.2.2 Google Main Business
- 7.2.3 Google Mobile Analytics Products, Services and Solutions
- 7.2.4 Google Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.2.5 Google Recent Developments
- 7.3 Cheetah Mobile
- 7.3.1 Cheetah Mobile Profile
- 7.3.2 Cheetah Mobile Main Business
- 7.3.3 Cheetah Mobile Mobile Analytics Products, Services and Solutions
- 7.3.4 Cheetah Mobile Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.3.5 Cheetah Mobile Recent Developments
- 7.4 King
- 7.4.1 King Profile
- 7.4.2 King Main Business
- 7.4.3 King Mobile Analytics Products, Services and Solutions
- 7.4.4 King Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.4.5 King Recent Developments
- 7.5 Gameloft
- 7.5.1 Gameloft Profile
- 7.5.2 Gameloft Main Business
- 7.5.3 Gameloft Mobile Analytics Products, Services and Solutions
- 7.5.4 Gameloft Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.5.5 Gameloft Recent Developments
- 7.6 LINE Corp
- 7.6.1 LINE Corp Profile
- 7.6.2 LINE Corp Main Business
- 7.6.3 LINE Corp Mobile Analytics Products, Services and Solutions
- 7.6.4 LINE Corp Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.6.5 LINE Corp Recent Developments
- 7.7 Microsoft
- 7.7.1 Microsoft Profile
- 7.7.2 Microsoft Main Business
- 7.7.3 Microsoft Mobile Analytics Products, Services and Solutions
- 7.7.4 Microsoft Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.7.5 Microsoft Recent Developments
- 7.8 Amazon
- 7.8.1 Amazon Profile
- 7.8.2 Amazon Main Business
- 7.8.3 Amazon Mobile Analytics Products, Services and Solutions
- 7.8.4 Amazon Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.8.5 Amazon Recent Developments
- 7.9 Outfit7
- 7.9.1 Outfit7 Profile
- 7.9.2 Outfit7 Main Business
- 7.9.3 Outfit7 Mobile Analytics Products, Services and Solutions
- 7.9.4 Outfit7 Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.9.5 Outfit7 Recent Developments
- 7.10 Snapchat
- 7.10.1 Snapchat Profile
- 7.10.2 Snapchat Main Business
- 7.10.3 Snapchat Mobile Analytics Products, Services and Solutions
- 7.10.4 Snapchat Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.10.5 Snapchat Recent Developments
- 7.11 Miniclip
- 7.11.1 Miniclip Profile
- 7.11.2 Miniclip Main Business
- 7.11.3 Miniclip Mobile Analytics Products, Services and Solutions
- 7.11.4 Miniclip Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.11.5 Miniclip Recent Developments
- 7.12 Mixpanel
- 7.12.1 Mixpanel Profile
- 7.12.2 Mixpanel Main Business
- 7.12.3 Mixpanel Mobile Analytics Products, Services and Solutions
- 7.12.4 Mixpanel Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.12.5 Mixpanel Recent Developments
- 7.13 Flurry (Verizon Media)
- 7.13.1 Flurry (Verizon Media) Profile
- 7.13.2 Flurry (Verizon Media) Main Business
- 7.13.3 Flurry (Verizon Media) Mobile Analytics Products, Services and Solutions
- 7.13.4 Flurry (Verizon Media) Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.13.5 Flurry (Verizon Media) Recent Developments
- 7.14 Amplitude
- 7.14.1 Amplitude Profile
- 7.14.2 Amplitude Main Business
- 7.14.3 Amplitude Mobile Analytics Products, Services and Solutions
- 7.14.4 Amplitude Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.14.5 Amplitude Recent Developments
- 7.15 Kochava
- 7.15.1 Kochava Profile
- 7.15.2 Kochava Main Business
- 7.15.3 Kochava Mobile Analytics Products, Services and Solutions
- 7.15.4 Kochava Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.15.5 Kochava Recent Developments
- 7.16 Adjust
- 7.16.1 Adjust Profile
- 7.16.2 Adjust Main Business
- 7.16.3 Adjust Mobile Analytics Products, Services and Solutions
- 7.16.4 Adjust Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.16.5 Adjust Recent Developments
- 7.17 App Annie (Data.ai)
- 7.17.1 App Annie (Data.ai) Profile
- 7.17.2 App Annie (Data.ai) Main Business
- 7.17.3 App Annie (Data.ai) Mobile Analytics Products, Services and Solutions
- 7.17.4 App Annie (Data.ai) Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.17.5 App Annie (Data.ai) Recent Developments
- 7.18 Localytics
- 7.18.1 Localytics Profile
- 7.18.2 Localytics Main Business
- 7.18.3 Localytics Mobile Analytics Products, Services and Solutions
- 7.18.4 Localytics Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.18.5 Localytics Recent Developments
- 7.19 Heap Analytics
- 7.19.1 Heap Analytics Profile
- 7.19.2 Heap Analytics Main Business
- 7.19.3 Heap Analytics Mobile Analytics Products, Services and Solutions
- 7.19.4 Heap Analytics Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.19.5 Heap Analytics Recent Developments
- 7.20 Meta Platforms
- 7.20.1 Meta Platforms Profile
- 7.20.2 Meta Platforms Main Business
- 7.20.3 Meta Platforms Mobile Analytics Products, Services and Solutions
- 7.20.4 Meta Platforms Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.20.5 Meta Platforms Recent Developments
- 7.21 Electronic Arts
- 7.21.1 Electronic Arts Profile
- 7.21.2 Electronic Arts Main Business
- 7.21.3 Electronic Arts Mobile Analytics Products, Services and Solutions
- 7.21.4 Electronic Arts Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.21.5 Electronic Arts Recent Developments
- 7.22 Tencent
- 7.22.1 Tencent Profile
- 7.22.2 Tencent Main Business
- 7.22.3 Tencent Mobile Analytics Products, Services and Solutions
- 7.22.4 Tencent Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.22.5 Tencent Recent Developments
- 7.23 Baidu Netcom
- 7.23.1 Baidu Netcom Profile
- 7.23.2 Baidu Netcom Main Business
- 7.23.3 Baidu Netcom Mobile Analytics Products, Services and Solutions
- 7.23.4 Baidu Netcom Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.23.5 Baidu Netcom Recent Developments
- 7.24 Ant Group
- 7.24.1 Ant Group Profile
- 7.24.2 Ant Group Main Business
- 7.24.3 Ant Group Mobile Analytics Products, Services and Solutions
- 7.24.4 Ant Group Mobile Analytics Revenue (US$ Million) & (2020-2025)
- 7.24.5 Ant Group Recent Developments
8 Industry Chain Analysis
- 8.1 Mobile Analytics Industrial Chain
- 8.2 Mobile Analytics Upstream Analysis
- 8.2.1 Key Raw Materials
- 8.2.2 Raw Materials Key Suppliers
- 8.2.3 Manufacturing Cost Structure
- 8.3 Midstream Analysis
- 8.4 Downstream Analysis (Customers Analysis)
- 8.5 Sales Model and Sales Channels
- 8.5.1 Mobile Analytics Sales Model
- 8.5.2 Sales Channel
- 8.5.3 Mobile Analytics Distributors
9 Research Findings and Conclusion
10 Appendix
- 10.1 Research Methodology
- 10.1.1 Methodology/Research Approach
- 10.1.1.1 Research Programs/Design
- 10.1.1.2 Market Size Estimation
- 10.1.1.3 Market Breakdown and Data Triangulation
- 10.1.2 Data Source
- 10.1.2.1 Secondary Sources
- 10.1.2.2 Primary Sources
- 10.2 Author Details
- 10.3 Disclaimer