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시장보고서
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모바일 분석 : 세계 시장 점유율과 순위, 총판매량 및 수요 예측(2025-2031년)

Mobile Analytics - Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031
발행일: | 리서치사: QYResearch | 페이지 정보: 영문 | 배송안내 : 2-3일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

세계의 모바일 애널리틱스 시장 규모는 2024년에 95억 달러로 추정되며, 2025-2031년의 예측 기간에 CAGR 15.0%로 성장하며, 2031년까지 266억 달러로 확대할 것으로 예측되고 있습니다.

모바일 애널리틱스는 스마트폰, 태블릿 등 모바일 단말기가 생성하는 데이터를 다양한 데이터 분석 툴와 기술을 통해 수집, 분석, 해석하는 과정을 말합니다. 모바일 인터넷의 급속한 성장과 함께 스마트폰은 사람들의 일상 생활의 중심이 되었고, 이 기기에서 이루어지는 활동은 방대한 양의 데이터를 생성하고 있습니다. 모바일 분석은 기업이 사용자 행동을 이해하고 제품 및 서비스를 최적화하는 데 도움이 될 뿐만 아니라 마케팅 전략의 의사결정을 지원하여 기업의 경쟁력을 높일 수 있습니다. 제품 범위에는 사용자 행동 분석, 용도 성능 모니터링, 모바일 광고 분석, 사용자 유지율 및 활동 평가 등이 포함됩니다. 이러한 분석 툴은 사용자의 클릭 수, 체류 시간, 인터랙션 패턴 등의 데이터를 수집하여 기업에 정확한 사용자 프로파일과 시장 동향을 제공함으로써 경쟁이 치열한 시장에서 우위를 점할 수 있게 해줍니다.

모바일 분석의 응용 분야는 다양하며, 주로 모바일 앱 개발, 모바일 광고, 사용자 경험 최적화, E-Commerce, 게임 산업 등을 들 수 있습니다. 모바일 분석을 통해 기업은 실시간 모니터링, 데이터 마이닝, 업무 최적화를 실현하고, 사용자의 요구를 보다 정확하게 충족시키고 사용자 경험을 향상시킬 수 있습니다. 인공지능(AI)과 빅데이터 기술의 도입으로 모바일 분석의 깊이와 범위는 지속적으로 확대되고 있으며, 기업에게 더 풍부한 인사이트와 예측 능력을 제공합니다. 그 결과, 모바일 분석은 현대 디지털 전환과 정밀 마케팅의 핵심 요소로 자리 잡았습니다.

스마트폰과 모바일 단말기의 보급과 함께 모바일 분석 시장은 빠르게 성장하고 있습니다. 시장의 주요 기회는 풍부한 사용자 행동 데이터와 정밀한 데이터 분석에 대한 수요 증가에 있습니다. 모바일 단말기의 적용 범위가 계속 확대되고 있는 가운데, E-Commerce, 금융, 엔터테인먼트 등의 업계에서는 사용자 경험과 업무 효율성 향상을 위해 모바일 분석을 적극적으로 활용하고 있습니다. 기업에게 데이터에 기반한 의사결정은 경쟁력을 높이는 중요한 수단이 되고 있습니다.

주요 촉진요인으로는 사용자층의 다양화, 데이터 양의 급증, 그리고 기업이 모바일 분석 기술에 집중하고 있다는 점을 들 수 있습니다. 모바일 애플리케이션 증가와 모바일 인터넷의 지속적인 발전은 풍부한 사용자 데이터 소스를 제공하고, 모바일 분석 툴와 서비스에 대한 수요를 견인하고 있습니다. 또한 인공지능, 빅데이터, 머신러닝 기술의 통합으로 모바일 분석의 정확도와 예측 능력이 더욱 향상되어 시장에 새로운 활력을 불어넣고 있습니다.

그러나 시장에는 몇 가지 위험과 과제도 존재합니다. 첫째, 데이터 프라이버시 및 보안에 관한 문제입니다. 사용자 데이터가 축적되는 가운데, 사용자 개인 정보 보호는 업계에서 중요한 과제로 떠오르고 있습니다. 둘째, 시장에 유통되는 기술에는 심각한 동질성이 존재하고, 많은 기업이 유사한 분석 툴을 제공함으로써 치열한 시장 경쟁, 가격 경쟁, 서비스 획일화가 발생하여 기업의 이윤율을 압박하고 있습니다. 또한 시장 집중도가 상대적으로 높고 기술적으로 앞선 소수의 기업이 시장 발전을 주도하고 있으며, 중소기업이 진입하기 어려운 상황입니다.

다운스트림 수요 동향으로는 소비자의 개인화된 서비스에 대한 수요가 증가함에 따라 기업은 모바일 분석을 활용하여 사용자 유지율과 활동성 향상에 집중하고 있습니다. 특히 E-Commerce, 소셜미디어, 모바일 게임 업계에서는 정밀한 데이터 분석을 통해 마케팅 전환율과 사용자 인터랙션 향상을 목표로 하고 있습니다. 최신 기술 동향은 자동 분석, 실시간 데이터 피드백, 인공지능을 통한 심층 데이터 마이닝을 중심으로 전개되고 있으며, 이러한 신기술들은 모바일 분석 시장의 지속적인 발전에 새로운 동력을 제공합니다.

이 보고서는 세계의 모바일 분석 시장에 대한 종합적인 분석을 제공하는 것을 목표로 합니다. 총매출액, 주요 기업 시장 점유율과 순위에 초점을 맞추고, 지역별, 국가별, 유형별, 용도별 모바일 애널리틱스 분석을 포함하고 있습니다.

모바일 애널리틱스 시장 규모, 추정 및 예측은 2024년을 기준 연도로 하여 2020-2031년 기간의 과거 데이터와 예측 데이터를 포함하는 판매 매출로 제시됩니다. 정량적 분석과 정성적 분석을 통해 독자들이 비즈니스/성장 전략을 수립하고, 시장 경쟁 구도를 평가하고, 현재 시장에서의 위치를 분석하고, 모바일 분석에 대한 정보에 입각한 비즈니스 의사결정을 내릴 수 있도록 돕습니다.

시장 세분화

기업별

  • 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

유형별 부문

  • 모바일 앱 분석
  • 모바일 웹 애널리틱스
  • 모바일 크래시 리포트
  • 기타 유형

용도별 부문

  • Android 플랫폼
  • iOS 플랫폼
  • 기타 플랫폼

지역별

  • 북미
    • 미국
    • 캐나다
  • 아시아태평양
    • 중국
    • 일본
    • 한국
    • 동남아시아
    • 인도
    • 호주
    • 기타 아시아태평양
  • 유럽
    • 독일
    • 프랑스
    • 영국
    • 이탈리아
    • 네덜란드
    • 북유럽 국가
    • 기타 유럽
  • 라틴아메리카
    • 멕시코
    • 브라질
    • 기타 라틴아메리카
  • 중동 및 아프리카
    • 튀르키예
    • 사우디아라비아
    • 아랍에미리트
    • 기타 중동 및 아프리카
KSA 25.12.04

자주 묻는 질문

  • 모바일 애널리틱스 시장 규모는 어떻게 예측되나요?
  • 모바일 애널리틱스의 주요 응용 분야는 무엇인가요?
  • 모바일 분석 시장의 주요 촉진 요인은 무엇인가요?
  • 모바일 분석 시장에서의 위험 요소는 무엇인가요?
  • 모바일 분석을 통해 기업이 얻을 수 있는 이점은 무엇인가요?
  • 모바일 분석 시장의 최신 기술 동향은 무엇인가요?
  • 모바일 애널리틱스 시장의 주요 기업은 어디인가요?

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
    • United States
    • Canada
  • 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
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