Global App Analytics Market Size study, by Component (Software and Services), by Type (Mobile Analytics and Web Analytics), by Application (User Analytics, Ad Monitoring & Marketing Analytics, Revenue Analytics, and App Performance Analytics & Operations), by Vertical and by Regional Forecasts 2018-2025

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Global App Analytics Market valued approximately USD 0.7 billion in 2016 is anticipated to grow with a healthy growth rate of more than 22.5% over the forecast period 2017-2025. Rapidly increasing use of mobile phones and web apps, growing advertisement market on smartphones, expanding investment in analytics technology and need to record the app related activities are the major factors which are driving the growth in the Global App Analytics market. App Analytics help in tracking apps and their performance on desktop and mobiles. It is useful for companies in finding the collaboration among their products and users. App analytics allow to check the opening and activation of app by user, help to gather accurate data to meet customers need and allow to drive personalized and customer focused marketing. It helps app developers to find the crashes occurring in the app and fixing them to improve its utility as well as it helps in developing updates for app by providing information about user’s interest in that app. It is also useful in finding a customer interest and developing new applications by tracking user’s previous data from various apps being used by the customers. Besides this, the need of highly qualified professionals is a constraint in the growth of Global App analytics market and the data available is non-uniform and that also limits the overall growth of the market.

The regional analysis of Global App Analytics Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share. Whereas, owing to the countries such as China, Japan, and India, Asia Pacific region is anticipated to exhibit higher growth rate / CAGR over the forecast period 2018-2025.

Global App Analytics MarketThe objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:

  • Software
  • Services

By Type:

  • Mobile Analytics
  • Web Analytics

By Application:

  • User Analytics
  • Ad Monitoring & Marketing Analytics
  • Revenue Analytics
  • App Performance Analytics & Operations

By Vertical:

  • Retail
  • Banking, Insurance and Financial Services
  • Media and Entertainment
  • Logistics, Travel, Transportation, and Hospitality
  • Telecom and It

By Regions:

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
  • Asia Pacific
    • China
    • India
    • Japan
  • Latin America
    • Brazil
    • Mexico
  • Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2015, 2016

Base year – 2017

Forecast period – 2018 to 2025

The industry is seeming to be fairly competitive. Some of the leading market players include Adjust, Adobe, Amazon, Amplitude, App Annie, Appdynamics, Appscatter, Appsee, Appsflyer, Apptentive, Clevertap, Contentsquare, Countly, Google, Heap, IBM, Kochava, Localytics, Mixpanel, Moengage, Segment, Swrve, Taplytics, Tune, Yahoo and so on. Acquisitions and effective mergers are some of the strategies adopted by the key manufacturers. New product launches and continuous technological innovations are the key strategies adopted by the major players.

Target Audience of the Global App Analytics Market in Market Study:

  • Key Consulting Companies & Advisors
  • Large, medium-sized, and small enterprises
  • Venture capitalists
  • Value-Added Resellers (VARs)
  • Third-party knowledge providers
  • Investment bankers
  • Investors

Chapter 1.           Global App Analytics Market Definition and Scope

1.1.         Research Objective

1.2.         Market Definition

1.3.         Scope of The Study

1.4.         Years Considered for The Study

1.5.         Currency Conversion Rates

1.6.         Report Limitation

Chapter 2.           Research Methodology

2.1.         Research Process

2.1.1.     Data Mining

2.1.2.     Analysis

2.1.3.     Market Estimation

2.1.4.     Validation

2.1.5.     Publishing

2.2.         Research Assumption

Chapter 3.           Executive Summary

3.1.         Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)

3.2.         Key Trends

Chapter 4.           Global App Analytics Market Dynamics

4.1.         Growth Prospects

4.1.1.     Drivers

4.1.2.     Restraints

4.1.3.     Opportunities

4.2.         Industry Analysis

4.2.1.     Porter’s 5 Force Model

4.2.2.     PEST Analysis

4.2.3.     Value Chain Analysis

4.3.         Analyst Recommendation & Conclusion

Chapter 5.           Global App Analytics Market, By Component

5.1.         Market Snapshot

5.2.         Market Performance – Potential Model

5.3.         Global App Analytics Market, Sub Segment Analysis

5.3.1.     Software

5.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

5.3.2.     Services

5.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 6.           Global App Analytics Market, By Type

6.1.         Market Snapshot

6.2.         Market Performance – Potential Model

6.3.         Global App Analytics Market, Sub Segment Analysis

6.3.1.     Mobile Analytics

6.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

6.3.2.     Web Analytics

6.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 7.           Global App Analytics Market, By Application

7.1.         Market Snapshot

7.2.         Market Performance – Potential Model

7.3.         Global App Analytics Market, Sub Segment Analysis

7.3.1.     User Analytics

7.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.2.     Ad Monitoring & Marketing Analytics

7.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.3.     Revenue Analytics

7.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.4.     App Performance Analytics & Operations

7.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 8.           Global App Analytics Market, By Vertical

8.1.         Market Snapshot

8.2.         Market Performance – Potential Model

8.3.         Global App Analytics Market, Sub Segment Analysis

8.3.1.     Retail

8.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.2.     Banking, Insurance and Financial Services

8.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.3.     Media and Entertainment

8.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.4.     Logistics, Travel, Transportation, and Hospitality

8.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

8.3.5.     Telecom and It

8.3.5.1. Market estimates & forecasts, 2015-2025 (USD Billion)

8.3.5.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 9.           Global App Analytics Market, by Regional Analysis

9.1.         App Analytics Market, Regional Market Snapshot (2015-2025)

9.2.         North America App Analytics Market Snapshot

9.2.1.     U.S.

9.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.2.1.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.1.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.1.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.2.     Canada

9.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.2.2.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.2.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.2.2.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.         Europe App Analytics Market Snapshot

9.3.1.     U.K.

9.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.3.1.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.1.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.1.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.2.     Germany

9.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.3.2.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.2.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.2.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.3.     France

9.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.3.3.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.3.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.3.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.3.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.4.     Rest of Europe

9.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.3.4.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.4.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.4.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.3.4.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.         Asia App Analytics Market Snapshot

9.4.1.     China

9.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.4.1.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.1.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.1.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.2.     India

9.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.4.2.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.2.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.2.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.3.     Japan

9.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.4.3.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.3.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.3.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.3.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.4.     Rest of Asia Pacific

9.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.4.4.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.4.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.4.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.4.4.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.         Latin America App Analytics Market Snapshot

9.5.1.     Brazil

9.5.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.5.1.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.1.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.1.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.2.     Mexico

9.5.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.5.2.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.2.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.5.2.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.         Rest of The World

9.6.1.     South America

9.6.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.6.1.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.1.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.1.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.1.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.2.     Middle East and Africa

9.6.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

9.6.2.2. Component breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.2.3. Type breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.2.4. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)

9.6.2.5. Vertical breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 10.         Competitive Intelligence

10.1.      Company Market Share (Subject to Data Availability)

10.2.      Top Market Strategies

10.3.      Company Profiles

10.3.1.   Adjust

10.3.1.1.               Overview

10.3.1.2.               Financial (Subject to Data Availability)

10.3.1.3.               Product Summary

10.3.1.4.               Recent Developments

10.3.2.   Adobe

10.3.3.   Amazon

10.3.4.   Amplitude

10.3.5.   App Annie

10.3.6.   Appdynamics

10.3.7.   Appscatter

10.3.8.   Appsee

10.3.9.   Appsflyer

10.3.10.                Apptentive

10.3.11.                Clevertap

10.3.12.                Contentsquare

10.3.13.                Countly

10.3.14.                Google

10.3.15.                Heap

10.3.16.                IBM

10.3.17.                Kochava

10.3.18.                Localytics

10.3.19.                Mixpanel

10.3.20.                Moengage

10.3.21.                Segment

10.3.22.                Swrve

10.3.23.                Taplytics

10.3.24.                Tune

10.3.25.                Yahoo

The Research Methodology for Global App Analytics Market Study deeply focuses on the entire value chain of the market. However, all of the statistical estimates are purely based on the consumption/implementation side of the value chain wherein the market sizes have been calculated by analyzing the prices i.e. sale price or cost prices along with the average demand/ procedures/usage/ deployment/execution of App Analytics across various industries / end-use/applications.

The whole App Analytics industry has been divided into various segments i.e. Product, Component, Application, Vertical, End-Use and Regions and each of which is studied as an individual study by our research analysts and consultants. Each of the subsegments has been analyzed and estimated at country level to form a regional scope. After finalizing the regional and segmental revenues the total revenue for Global App Analytics Market is calculated as a sum of all the different segments.

Some of the key data points considered under the Research Methodology to calculate the revenue for Global App Analytics Market includes:

  • Revenues from key companies
  • Company market share analysis
  • Consumer spending analysis
  • Regional export and import analysis
  • Regulatory Trends
  • Sales revenue generated by various products/applications in different countries/geographies

The Research Methodology starts with extensive data mining, using paid & free authentic information sources such as white papers, industry journals, trade magazines, Hoovers, Factiva, Statista, news websites, technical publications, independent studies etc. a team of dedicated research analysts and associates work on all of the gathered data to extract relevant information. Key factors such as ongoing & upcoming industry trends, external & internal driving factors, restraining factors, growth opportunities and value chain analysis have been verified in order form qualitative part of the report and to back the estimation team for quantitative analysis.

We utilize a combination of top-down and bottom-up methodology for industry estimations & forecasts. Additionally, we employ data triangulation techniques to verify each of the estimates and forecasts through primary interviews and feedbacks. An extensive primary and secondary research have been conducted with the key industry people, through questionnaires, telephonic conversations, email conversations, and interviews to verify industry trends and estimations. Various government websites/portals and paid data sources are considered as a key source of secondary research.

All of the estimates are derived from simulation models which is our proprietary technique. Each of these models is different from another. These models are a combination of correlation, regression and time series analysis. Each of these models is basically divided into two types namely economic and technological. Economical models are used to determine short-term market estimates and technological models are used for long-term estimates & forecasts. Both the types are used collectively in order to derive market estimates for the base year as well as for forecast period.


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