Global App Analytics Market 2020 by Company, Regions, Type and Application, Forecast to 2025

$3480

Market Overview

The global App Analytics market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 14.9% in the forecast period of 2020 to 2025 and will expected to reach USD 2819 million by 2025, from USD 1615.8 million in 2019.

The App Analytics market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Market segmentation

App Analytics market is split by Type and by Application. For the period 2015-2025, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

By Type, App Analytics market has been segmented into:

Mobile app analytics

Web app analytics

By Application, App Analytics has been segmented into:

BFSI

Retail

Media and entertainment

Logistics, travel, and transportation

Telecom and IT

Others

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global App Analytics market presented in the report. This section sheds light on the sales growth of different regional and country-level App Analytics markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global App Analytics market.

The report offers in-depth assessment of the growth and other aspects of the App Analytics market in important countries (regions), including:

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Competitive Landscape and App Analytics Market Share Analysis

App Analytics competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, App Analytics sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the App Analytics sales, revenue and market share for each player covered in this report.

The major players covered in App Analytics are:

Google

Swrve

Adobe

Yahoo

Localytics

Amazon

Amplitude

Countly

IBM

Appsee

Adjust

Tune

Appscatter

Mixpanel

Clevertap

Heap

Appdynamics

Contentsquare

Segment

Appsflyer

Moengage

Taplytics

Kochava

App Annie

Apptentive

Table of Contents

1 App Analytics Market Overview

1.1 Product Overview and Scope of App Analytics

1.2 Classification of App Analytics by Type

1.2.1 Global App Analytics Revenue by Type: 2015 VS 2019 VS 2025

1.2.2 Global App Analytics Revenue Market Share by Type in 2019

1.2.3 Mobile app analytics

1.2.4 Web app analytics

1.3 Global App Analytics Market by Application

1.3.1 Overview: Global App Analytics Revenue by Application: 2015 VS 2019 VS 2025

1.3.2 BFSI

1.3.3 Retail

1.3.4 Media and entertainment

1.3.5 Logistics, travel, and transportation

1.3.6 Telecom and IT

1.3.7 Others

1.4 Global App Analytics Market by Regions

1.4.1 Global App Analytics Market Size by Regions: 2015 VS 2019 VS 2025

1.4.2 Global Market Size of App Analytics (2015-2025)

1.4.3 North America (USA, Canada and Mexico) App Analytics Status and Prospect (2015-2025)

1.4.4 Europe (Germany, France, UK, Russia and Italy) App Analytics Status and Prospect (2015-2025)

1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) App Analytics Status and Prospect (2015-2025)

1.4.6 South America (Brazil, Argentina, Colombia) App Analytics Status and Prospect (2015-2025)

1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) App Analytics Status and Prospect (2015-2025)

2 Company Profiles

2.1 Google

2.1.1 Google Details

2.1.2 Google Major Business and Total Revenue (Financial Highlights) Analysis

2.1.3 Google SWOT Analysis

2.1.4 Google Product and Services

2.1.5 Google App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.2 Swrve

2.2.1 Swrve Details

2.2.2 Swrve Major Business and Total Revenue (Financial Highlights) Analysis

2.2.3 Swrve SWOT Analysis

2.2.4 Swrve Product and Services

2.2.5 Swrve App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.3 Adobe

2.3.1 Adobe Details

2.3.2 Adobe Major Business and Total Revenue (Financial Highlights) Analysis

2.3.3 Adobe SWOT Analysis

2.3.4 Adobe Product and Services

2.3.5 Adobe App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.4 Yahoo

2.4.1 Yahoo Details

2.4.2 Yahoo Major Business and Total Revenue (Financial Highlights) Analysis

2.4.3 Yahoo SWOT Analysis

2.4.4 Yahoo Product and Services

2.4.5 Yahoo App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.5 Localytics

2.5.1 Localytics Details

2.5.2 Localytics Major Business and Total Revenue (Financial Highlights) Analysis

2.5.3 Localytics SWOT Analysis

2.5.4 Localytics Product and Services

2.5.5 Localytics App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.6 Amazon

2.6.1 Amazon Details

2.6.2 Amazon Major Business and Total Revenue (Financial Highlights) Analysis

2.6.3 Amazon SWOT Analysis

2.6.4 Amazon Product and Services

2.6.5 Amazon App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.7 Amplitude

2.7.1 Amplitude Details

2.7.2 Amplitude Major Business and Total Revenue (Financial Highlights) Analysis

2.7.3 Amplitude SWOT Analysis

2.7.4 Amplitude Product and Services

2.7.5 Amplitude App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.8 Countly

2.8.1 Countly Details

2.8.2 Countly Major Business and Total Revenue (Financial Highlights) Analysis

2.8.3 Countly SWOT Analysis

2.8.4 Countly Product and Services

2.8.5 Countly App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.9 IBM

2.9.1 IBM Details

2.9.2 IBM Major Business and Total Revenue (Financial Highlights) Analysis

2.9.3 IBM SWOT Analysis

2.9.4 IBM Product and Services

2.9.5 IBM App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.10 Appsee

2.10.1 Appsee Details

2.10.2 Appsee Major Business and Total Revenue (Financial Highlights) Analysis

2.10.3 Appsee SWOT Analysis

2.10.4 Appsee Product and Services

2.10.5 Appsee App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.11 Adjust

2.11.1 Adjust Details

2.11.2 Adjust Major Business and Total Revenue (Financial Highlights) Analysis

2.11.3 Adjust SWOT Analysis

2.11.4 Adjust Product and Services

2.11.5 Adjust App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.12 Tune

2.12.1 Tune Details

2.12.2 Tune Major Business and Total Revenue (Financial Highlights) Analysis

2.12.3 Tune SWOT Analysis

2.12.4 Tune Product and Services

2.12.5 Tune App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.13 Appscatter

2.13.1 Appscatter Details

2.13.2 Appscatter Major Business and Total Revenue (Financial Highlights) Analysis

2.13.3 Appscatter SWOT Analysis

2.13.4 Appscatter Product and Services

2.13.5 Appscatter App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.14 Mixpanel

2.14.1 Mixpanel Details

2.14.2 Mixpanel Major Business and Total Revenue (Financial Highlights) Analysis

2.14.3 Mixpanel SWOT Analysis

2.14.4 Mixpanel Product and Services

2.14.5 Mixpanel App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.15 Clevertap

2.15.1 Clevertap Details

2.15.2 Clevertap Major Business and Total Revenue (Financial Highlights) Analysis

2.15.3 Clevertap SWOT Analysis

2.15.4 Clevertap Product and Services

2.15.5 Clevertap App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.16 Heap

2.16.1 Heap Details

2.16.2 Heap Major Business and Total Revenue (Financial Highlights) Analysis

2.16.3 Heap SWOT Analysis

2.16.4 Heap Product and Services

2.16.5 Heap App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.17 Appdynamics

2.17.1 Appdynamics Details

2.17.2 Appdynamics Major Business and Total Revenue (Financial Highlights) Analysis

2.17.3 Appdynamics SWOT Analysis

2.17.4 Appdynamics Product and Services

2.17.5 Appdynamics App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.18 Contentsquare

2.18.1 Contentsquare Details

2.18.2 Contentsquare Major Business and Total Revenue (Financial Highlights) Analysis

2.18.3 Contentsquare SWOT Analysis

2.18.4 Contentsquare Product and Services

2.18.3 Contentsquare App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.19 Segment

2.19.1 Segment Details

2.19.2 Segment Major Business and Total Revenue (Financial Highlights) Analysis

2.19.3 Segment SWOT Analysis

2.19.4 Segment Product and Services

2.19.5 Segment App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.20 Appsflyer

2.20.1 Appsflyer Details

2.20.2 Appsflyer Major Business and Total Revenue (Financial Highlights) Analysis

2.20.3 Appsflyer SWOT Analysis

2.20.4 Appsflyer Product and Services

2.20.5 Appsflyer App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.21 Moengage

2.21.1 Moengage Details

2.21.2 Moengage Major Business and Total Revenue (Financial Highlights) Analysis

2.21.3 Moengage SWOT Analysis

2.21.4 Moengage Product and Services

2.21.5 Moengage App Analytics Revenue, Gross Margin and Market Share (2018-2019)

2.22 Taplytics

2.23 Kochava

2.24 App Annie

2.25 Apptentive

3 Market Competition, by Players

3.1 Global App Analytics Revenue and Share by Players (2015-2020)

3.2 Market Concentration Rate

3.2.1 Top 5 App Analytics Players Market Share

3.2.2 Top 10 App Analytics Players Market Share

3.3 Market Competition Trend

4 Market Size by Regions

4.1 Global App Analytics Revenue and Market Share by Regions

4.2 North America App Analytics Revenue and Growth Rate (2015-2020)

4.3 Europe App Analytics Revenue and Growth Rate (2015-2020)

4.4 Asia-Pacific App Analytics Revenue and Growth Rate (2015-2020)

4.5 South America App Analytics Revenue and Growth Rate (2015-2020)

4.6 Middle East & Africa App Analytics Revenue and Growth Rate (2015-2020)

5 North America App Analytics Revenue by Countries

5.1 North America App Analytics Revenue by Countries (2015-2020)

5.2 USA App Analytics Revenue and Growth Rate (2015-2020)

5.3 Canada App Analytics Revenue and Growth Rate (2015-2020)

5.4 Mexico App Analytics Revenue and Growth Rate (2015-2020)

6 Europe App Analytics Revenue by Countries

6.1 Europe App Analytics Revenue by Countries (2015-2020)

6.2 Germany App Analytics Revenue and Growth Rate (2015-2020)

6.3 UK App Analytics Revenue and Growth Rate (2015-2020)

6.4 France App Analytics Revenue and Growth Rate (2015-2020)

6.5 Russia App Analytics Revenue and Growth Rate (2015-2020)

6.6 Italy App Analytics Revenue and Growth Rate (2015-2020)

7 Asia-Pacific App Analytics Revenue by Countries

7.1 Asia-Pacific App Analytics Revenue by Countries (2015-2020)

7.2 China App Analytics Revenue and Growth Rate (2015-2020)

7.3 Japan App Analytics Revenue and Growth Rate (2015-2020)

7.4 Korea App Analytics Revenue and Growth Rate (2015-2020)

7.5 India App Analytics Revenue and Growth Rate (2015-2020)

7.6 Southeast Asia App Analytics Revenue and Growth Rate (2015-2020)

8 South America App Analytics Revenue by Countries

8.1 South America App Analytics Revenue by Countries (2015-2020)

8.2 Brazil App Analytics Revenue and Growth Rate (2015-2020)

8.3 Argentina App Analytics Revenue and Growth Rate (2015-2020)

9 Middle East & Africa Revenue App Analytics by Countries

9.1 Middle East & Africa App Analytics Revenue by Countries (2015-2020)

9.2 Saudi Arabia App Analytics Revenue and Growth Rate (2015-2020)

9.3 UAE App Analytics Revenue and Growth Rate (2015-2020)

9.4 Egypt App Analytics Revenue and Growth Rate (2015-2020)

9.5 South Africa App Analytics Revenue and Growth Rate (2015-2020)

10 Market Size Segment by Type

10.1 Global App Analytics Revenue and Market Share by Type (2015-2020)

10.2 Global App Analytics Market Forecast by Type (2019-2024)

10.3 Mobile app analytics Revenue Growth Rate (2015-2025)

10.4 Web app analytics Revenue Growth Rate (2015-2025)

11 Global App Analytics Market Segment by Application

11.1 Global App Analytics Revenue Market Share by Application (2015-2020)

11.2 App Analytics Market Forecast by Application (2019-2024)

11.3 BFSI Revenue Growth (2015-2020)

11.4 Retail Revenue Growth (2015-2020)

11.5 Media and entertainment Revenue Growth (2015-2020)

11.6 Logistics, travel, and transportation Revenue Growth (2015-2020)

11.7 Telecom and IT Revenue Growth (2015-2020)

11.8 Others Revenue Growth (2015-2020)

12 Global App Analytics Market Size Forecast (2021-2025)

12.1 Global App Analytics Market Size Forecast (2021-2025)

12.2 Global App Analytics Market Forecast by Regions (2021-2025)

12.3 North America App Analytics Revenue Market Forecast (2021-2025)

12.4 Europe App Analytics Revenue Market Forecast (2021-2025)

12.5 Asia-Pacific App Analytics Revenue Market Forecast (2021-2025)

12.6 South America App Analytics Revenue Market Forecast (2021-2025)

12.7 Middle East & Africa App Analytics Revenue Market Forecast (2021-2025)

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology

14.2 Data Source

14.3 Disclaimer

14.4 About US


List of Tables

Table 1. Global App Analytics Revenue (USD Million) by Type: 2015 VS 2019 VS 2025

Table 2. Breakdown of App Analytics by Company Type (Tier 1, Tier 2 and Tier 3)

Table 3. Global App Analytics Revenue (USD Million) by Application: 2015 VS 2019 VS 2025

Table 4. Global Market App Analytics Revenue (Million USD) Comparison by Regions 2015-2025

Table 5. Google Corporate Information, Location and Competitors

Table 6. Google App Analytics Major Business

Table 7. Google App Analytics Total Revenue (USD Million) (2017-2018)

Table 8. Google SWOT Analysis

Table 9. Google App Analytics Product and Solutions

Table 10. Google App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 11. Swrve Corporate Information, Location and Competitors

Table 12. Swrve App Analytics Major Business

Table 13. Swrve App Analytics Total Revenue (USD Million) (2018-2019)

Table 14. Swrve SWOT Analysis

Table 15. Swrve App Analytics Product and Solutions

Table 16. Swrve App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 17. Adobe Corporate Information, Location and Competitors

Table 18. Adobe App Analytics Major Business

Table 19. Adobe App Analytics Total Revenue (USD Million) (2017-2018)

Table 20. Adobe SWOT Analysis

Table 21. Adobe App Analytics Product and Solutions

Table 22. Adobe App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 23. Yahoo Corporate Information, Location and Competitors

Table 24. Yahoo App Analytics Major Business

Table 25. Yahoo App Analytics Total Revenue (USD Million) (2017-2018)

Table 26. Yahoo SWOT Analysis

Table 27. Yahoo App Analytics Product and Solutions

Table 28. Yahoo App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 29. Localytics Corporate Information, Location and Competitors

Table 30. Localytics App Analytics Major Business

Table 31. Localytics App Analytics Total Revenue (USD Million) (2017-2018)

Table 32. Localytics SWOT Analysis

Table 33. Localytics App Analytics Product and Solutions

Table 34. Localytics App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 35. Amazon Corporate Information, Location and Competitors

Table 36. Amazon App Analytics Major Business

Table 37. Amazon App Analytics Total Revenue (USD Million) (2017-2018)

Table 38. Amazon SWOT Analysis

Table 39. Amazon App Analytics Product and Solutions

Table 40. Amazon App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 41. Amplitude Corporate Information, Location and Competitors

Table 42. Amplitude App Analytics Major Business

Table 43. Amplitude App Analytics Total Revenue (USD Million) (2017-2018)

Table 44. Amplitude SWOT Analysis

Table 45. Amplitude App Analytics Product and Solutions

Table 46. Amplitude App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 47. Countly Corporate Information, Location and Competitors

Table 48. Countly App Analytics Major Business

Table 49. Countly App Analytics Total Revenue (USD Million) (2017-2018)

Table 50. Countly SWOT Analysis

Table 51. Countly App Analytics Product and Solutions

Table 52. Countly App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 53. IBM Corporate Information, Location and Competitors

Table 54. IBM App Analytics Major Business

Table 55. IBM App Analytics Total Revenue (USD Million) (2017-2018)

Table 56. IBM SWOT Analysis

Table 57. IBM App Analytics Product and Solutions

Table 58. IBM App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 59. Appsee Corporate Information, Location and Competitors

Table 60. Appsee App Analytics Major Business

Table 61. Appsee App Analytics Total Revenue (USD Million) (2017-2018)

Table 62. Appsee SWOT Analysis

Table 63. Appsee App Analytics Product and Solutions

Table 64. Appsee App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 65. Adjust Corporate Information, Location and Competitors

Table 66. Adjust App Analytics Major Business

Table 67. Adjust App Analytics Total Revenue (USD Million) (2017-2018)

Table 68. Adjust SWOT Analysis

Table 69. Adjust App Analytics Product and Solutions

Table 70. Adjust App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 71. Tune Corporate Information, Location and Competitors

Table 72. Tune App Analytics Major Business

Table 73. Tune App Analytics Total Revenue (USD Million) (2017-2018)

Table 74. Tune SWOT Analysis

Table 75. Tune App Analytics Product and Solutions

Table 76. Tune App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 77. Appscatter Corporate Information, Location and Competitors

Table 78. Appscatter App Analytics Major Business

Table 79. Appscatter App Analytics Total Revenue (USD Million) (2017-2018)

Table 80. Appscatter SWOT Analysis

Table 81. Appscatter App Analytics Product and Solutions

Table 82. Appscatter App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 83. Mixpanel Corporate Information, Location and Competitors

Table 84. Mixpanel App Analytics Major Business

Table 85. Mixpanel App Analytics Total Revenue (USD Million) (2017-2018)

Table 86. Mixpanel SWOT Analysis

Table 87. Mixpanel App Analytics Product and Solutions

Table 88. Mixpanel App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 89. Clevertap Corporate Information, Location and Competitors

Table 90. Clevertap App Analytics Major Business

Table 91. Clevertap App Analytics Total Revenue (USD Million) (2017-2018)

Table 92. Clevertap SWOT Analysis

Table 93. Clevertap App Analytics Product and Solutions

Table 94. Clevertap App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 95. Heap Corporate Information, Location and Competitors

Table 96. Heap App Analytics Major Business

Table 97. Heap App Analytics Total Revenue (USD Million) (2017-2018)

Table 98. Heap SWOT Analysis

Table 99. Heap App Analytics Product and Solutions

Table 100. Heap App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 101. Appdynamics Corporate Information, Location and Competitors

Table 102. Appdynamics App Analytics Major Business

Table 103. Appdynamics App Analytics Total Revenue (USD Million) (2017-2018)

Table 104. Appdynamics SWOT Analysis

Table 105. Appdynamics App Analytics Product and Solutions

Table 106. Appdynamics App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 107. Contentsquare App Analytics Type and Application

Table 108. Contentsquare App Analytics Major Business

Table 109. Contentsquare App Analytics Total Revenue (USD Million) (2017-2018)

Table 110. Contentsquare SWOT Analysis

Table 111. Contentsquare App Analytics Product and Solutions

Table 112. Contentsquare App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 113. Segment Corporate Information, Location and Competitors

Table 114. Segment App Analytics Major Business

Table 115. Segment App Analytics Total Revenue (USD Million) (2017-2018)

Table 116. Segment SWOT Analysis

Table 117. Segment App Analytics Product and Solutions

Table 118. Segment App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 119. Appsflyer Corporate Information, Location and Competitors

Table 120. Appsflyer App Analytics Major Business

Table 121. Appsflyer App Analytics Total Revenue (USD Million) (2017-2018)

Table 122. Appsflyer SWOT Analysis

Table 123. Appsflyer App Analytics Product and Solutions

Table 124. Appsflyer App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 125. Moengage Corporate Information, Location and Competitors

Table 126. Moengage App Analytics Major Business

Table 127. Moengage App Analytics Total Revenue (USD Million) (2017-2018)

Table 128. Moengage SWOT Analysis

Table 129. Moengage App Analytics Product and Solutions

Table 130. Moengage App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 131. Taplytics Corporate Information, Location and Competitors

Table 132. Taplytics App Analytics Major Business

Table 133. Taplytics App Analytics Total Revenue (USD Million) (2017-2018)

Table 134. Taplytics SWOT Analysis

Table 135. Taplytics App Analytics Product and Solutions

Table 136. Taplytics App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 137. Kochava Corporate Information, Location and Competitors

Table 138. Kochava App Analytics Major Business

Table 139. Kochava App Analytics Total Revenue (USD Million) (2017-2018)

Table 140. Kochava SWOT Analysis

Table 141. Kochava App Analytics Product and Solutions

Table 142. Kochava App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 143. App Annie Corporate Information, Location and Competitors

Table 144. App Annie App Analytics Major Business

Table 145. App Annie App Analytics Total Revenue (USD Million) (2017-2018)

Table 146. App Annie SWOT Analysis

Table 147. App Annie App Analytics Product and Solutions

Table 148. App Annie App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 149. Apptentive Corporate Information, Location and Competitors

Table 150. Apptentive App Analytics Major Business

Table 151. Apptentive App Analytics Total Revenue (USD Million) (2017-2018)

Table 152. Apptentive SWOT Analysis

Table 153. Apptentive App Analytics Product and Solutions

Table 154. Apptentive App Analytics Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 155. Global App Analytics Revenue (Million USD) by Players (2015-2020)

Table 156. Global App Analytics Revenue Share by Players (2015-2020)

Table 157. Global App Analytics Revenue (Million USD) by Regions (2015-2020)

Table 158. Global App Analytics Revenue Market Share by Regions (2015-2020)

Table 159. North America App Analytics Revenue by Countries (2015-2020)

Table 160. North America App Analytics Revenue Market Share by Countries (2015-2020)

Table 161. Europe App Analytics Revenue (Million USD) by Countries (2015-2020)

Table 162. Asia-Pacific App Analytics Revenue (Million USD) by Countries (2015-2020)

Table 163. South America App Analytics Revenue by Countries (2015-2020)

Table 164. South America App Analytics Revenue Market Share by Countries (2015-2020)

Table 165. Middle East and Africa App Analytics Revenue (Million USD) by Countries (2015-2020)

Table 166. Middle East and Africa App Analytics Revenue Market Share by Countries (2015-2020)

Table 167. Global App Analytics Revenue (Million USD) by Type (2015-2020)

Table 168. Global App Analytics Revenue Share by Type (2015-2020)

Table 169. Global App Analytics Revenue Forecast by Type (2021-2025)

Table 170. Global App Analytics Revenue by Application (2015-2020)

Table 171. Global App Analytics Revenue Share by Application (2015-2020)

Table 172. Global App Analytics Revenue Forecast by Application (2021-2025)

Table 173. Global App Analytics Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. App Analytics Picture

Figure 2. Global App Analytics Revenue Market Share by Type in 2019

Figure 3. Mobile app analytics Picture

Figure 4. Web app analytics Picture

Figure 5. App Analytics Revenue Market Share by Application in 2019

Figure 6. BFSI Picture

Figure 7. Retail Picture

Figure 8. Media and entertainment Picture

Figure 9. Logistics, travel, and transportation Picture

Figure 10. Telecom and IT Picture

Figure 11. Others Picture

Figure 12. Global App Analytics Revenue (USD Million) and Growth Rate (2015-2025)

Figure 13. North America App Analytics Revenue (Million USD) and Growth Rate (2015-2025)

Figure 14. Europe App Analytics Revenue (Million USD) and Growth Rate (2015-2025)

Figure 15. Asia-Pacific App Analytics Revenue (Million USD) and Growth Rate (2015-2025)

Figure 16. South America App Analytics Revenue (Million USD) and Growth Rate (2015-2025)

Figure 17. Middle East and Africa App Analytics Revenue (Million USD) and Growth Rate (2015-2025)

Figure 18. Global App Analytics Revenue (Million USD) and Growth Rate (2015-2025)

Figure 19. Global App Analytics Revenue Share by Players in 2019

Figure 20. Global Top 5 Players App Analytics Revenue Market Share in 2019

Figure 21. Global Top 10 Players App Analytics Revenue Market Share in 2019

Figure 22. Key Players Market Share Trend

Figure 23. Global App Analytics Revenue (Million USD) and Growth Rate (%) (2015-2020)

Figure 24. Global App Analytics Revenue Market Share by Regions (2015-2020)

Figure 25. Global App Analytics Revenue Market Share by Regions in 2018

Figure 26. North America App Analytics Revenue and Growth Rate (2015-2020)

Figure 27. Europe App Analytics Revenue and Growth Rate (2015-2020)

Figure 28. Asia-Pacific App Analytics Revenue and Growth Rate (2015-2020)

Figure 29. South America App Analytics Revenue and Growth Rate (2015-2020)

Figure 30. Middle East and Africa App Analytics Revenue and Growth Rate (2015-2020)

Figure 31. North America App Analytics Revenue Market Share by Countries (2015-2020)

Figure 32. North America App Analytics Revenue Market Share by Countries in 2019

Figure 33. USA App Analytics Revenue and Growth Rate (2015-2020)

Figure 34. Canada App Analytics Revenue and Growth Rate (2015-2020)

Figure 35. Mexico App Analytics Revenue and Growth Rate (2015-2020)

Figure 36. Europe App Analytics Revenue Market Share by Countries (2015-2020)

Figure 37. Europe App Analytics Revenue Market Share by Countries in 2019

Figure 38. Germany App Analytics Revenue and Growth Rate (2015-2020)

Figure 39. UK App Analytics Revenue and Growth Rate (2015-2020)

Figure 40. France App Analytics Revenue and Growth Rate (2015-2020)

Figure 41. Russia App Analytics Revenue and Growth Rate (2015-2020)

Figure 42. Italy App Analytics Revenue and Growth Rate (2015-2020)

Figure 43. Asia-Pacific App Analytics Revenue Market Share by Countries (2015-2020)

Figure 44. Asia-Pacific App Analytics Revenue Market Share by Countries in 2019

Figure 45. China App Analytics Revenue and Growth Rate (2015-2020)

Figure 46. Japan App Analytics Revenue and Growth Rate (2015-2020)

Figure 47. Korea App Analytics Revenue and Growth Rate (2015-2020)

Figure 48. India App Analytics Revenue and Growth Rate (2015-2020)

Figure 49. Southeast Asia App Analytics Revenue and Growth Rate (2015-2020)

Figure 50. South America App Analytics Revenue Market Share by Countries (2015-2020)

Figure 51. South America App Analytics Revenue Market Share by Countries in 2019

Figure 52. Brazil App Analytics Revenue and Growth Rate (2015-2020)

Figure 53. Argentina App Analytics Revenue and Growth Rate (2015-2020)

Figure 54. Middle East and Africa App Analytics Revenue Market Share by Countries (2015-2020)

Figure 55. Middle East and Africa App Analytics Revenue Market Share by Countries in 2019

Figure 56. Saudi Arabia App Analytics Revenue and Growth Rate (2015-2020)

Figure 57. UAE App Analytics Revenue and Growth Rate (2015-2020)

Figure 58. Egypt App Analytics Revenue and Growth Rate (2015-2020)

Figure 59. South Africa App Analytics Revenue and Growth Rate (2015-2020)

Figure 60. Global App Analytics Revenue Share by Type (2015-2020)

Figure 61. Global App Analytics Revenue Share by Type in 2019

Figure 62. Global App Analytics Market Share Forecast by Type (2021-2025)

Figure 63. Global Mobile app analytics Revenue Growth Rate (2015-2020)

Figure 64. Global Web app analytics Revenue Growth Rate (2015-2020)

Figure 65. Global App Analytics Revenue Share by Application (2015-2020)

Figure 66. Global App Analytics Revenue Share by Application in 2019

Figure 67. Global App Analytics Market Share Forecast by Application (2021-2025)

Figure 68. Global BFSI Revenue Growth Rate (2015-2020)

Figure 69. Global Retail Revenue Growth Rate (2015-2020)

Figure 70. Global Media and entertainment Revenue Growth Rate (2015-2020)

Figure 71. Global Logistics, travel, and transportation Revenue Growth Rate (2015-2020)

Figure 72. Global Telecom and IT Revenue Growth Rate (2015-2020)

Figure 73. Global Others Revenue Growth Rate (2015-2020)

Figure 74. Global App Analytics Revenue (Million USD) and Growth Rate Forecast (2021-2025)

Figure 75. Global App Analytics Revenue (Million USD) Forecast by Regions (2021-2025)

Figure 76. Global App Analytics Revenue Market Share Forecast by Regions (2021-2025)

Figure 77. North America App Analytics Revenue Market Forecast (2021-2025)

Figure 78. Europe App Analytics Revenue Market Forecast (2021-2025)

Figure 79. Asia-Pacific App Analytics Revenue Market Forecast (2021-2025)

Figure 80. South America App Analytics Revenue Market Forecast (2021-2025)

Figure 81. Middle East and Africa App Analytics Revenue Market Forecast (2021-2025)

Figure 82. Sales Channel: Direct Channel vs Indirect Channel

Research Methodology

Market research is a method of gathering, assessing and deducing data & information about a particular market. Market research is very crucial in these days. The techniques analyze about how a product/service can be offered to the market to its end-customers, observe the impact of that product/service based on the past customer experiences, and cater their needs and demands. Owing to the successful business ventures, accurate, relevant and thorough information is the base for all the organizations because market research report/study offers specific market related data & information about the industry growth prospects, perspective of the existing customers, and the overall market scenario prevailed in past, ongoing present and developing future. It allows the stakeholders and investors to determine the probability of a business before committing substantial resources to the venture. Market research helps in solving the marketing issues challenges that a business will most likely face.

Market research is valuable because of the following reasons:

  • Market research helps businesses strengthen a company’s position
  • Market research helps in minimizing the investment risks associated with the businesses in any industry vertical
  • Market research helps in identifying the potential threats and opportunities associated with the business industry
  • Market research aids in spotting the emerging trends and facilitates strategic planning in order to stay ahead in the competition

Our research report features both the aspects; qualitative and quantitative. Qualitative part provides insights about the market driving forces, potential opportunities, customer’s demands and requirement which in turn help the companies to come up with new strategies in order to survive in the long run competition. The quantitative segment offers the most credible information related to the industry. Based on the data gathering, we use to derive the market size and estimate their future growth prospects on the basis of global, region and country.

Our market research process involves with the four specific stages.

  • Data Collection
  • Data Synthesis
  • Market Deduction & Formulation
  • Data Screening & Validation

Data Collection: This stage of the market research process involves with the gathering and collecting of the market/industry related data from the sources. There are basically two types of research methods:

  • Primary Research: By conducting primary research, it involves with the two types of data gathering; exploratory and specific. Exploratory data is open-ended and helps us to define a particular problem involving surveys, and pilot study to the specific consumer group, knowing their needs and wants catering to the industry related product/service offering. Explanatory data gathering follows with the bit of unstructured way. Our analyst group leads the study by focusing on the key crowd, in this manner picking up bits of knowledge from them. In light of the points of view of the clients, this data is used to plan advertise techniques. In addition, showcase overviews causes us to comprehend the current scenario of the business. Specific data gathering on the hand, involves with the more structured and formal way. The primary research usually includes in telephonic conversations, E-mail collaborations and up close and personal meetings/interviews with the raw material suppliers, industrial wholesalers, and independent consultants/specialists. The interviews that we conduct offers important information on showcase size and industry development patterns. Our company likewise conducts interviews with the different business specialists so as to increase generally bits of knowledge of the business/showcase.
  • Secondary Research: The secondary research incorporates with the data gathering from the non-profit associations and organizations, for example, World bank, WHO, investor relations and their presentations, statistical databases, yearly(annual reports) reports, national government records, factual databases, websites, articles, white papers, press releases, blogs and others. From the annual report, we deduce an organization's income/revenue generation to comprehend the key product segment related to the market. We examine the organization sites and implement product mapping strategy which is significant for determining the segment revenue. In the product mapping technique, we choose and categorize the products offered by the companies catering to the industry specific market, derive the segment revenue for each of the organizations to get the market estimation. We also gather data & Information based on the supply and demand side of the value chain involved with the domain specific market. The supply side denotes the distributors, wholesalers, suppliers and the demand side denotes the end-consumers/customers of the value chain. The supply side of the market is analyzed by examining the product growth across industry in each of the region followed by its pricing analysis. The demand side is analyzed by the evaluating the penetration level and adoption rates of the product by referring to the historical/past data, examine the present usage and forecasting the future trends. 
  • Purchased Database: Our purchased data provides insights about the key market players/companies along with their financial analysis. Additionally, our data base also includes market related information. 
    • We also have the agreements with various reputed data providers, consultants and third party vendors who provide information which are not limited to:
      • Export & Import Data
      • Business Information related to trade and its statistics
      • Penetration level of a particular product/service based on geography mainly focusing on the unmet prerequisites of the customers.
  • In-house Library: Apart from these third-party sources, we have our in-house library of quantitative and qualitative data & information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, internal audit reports, historic databases, archives and journal publications. Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those particular cases, we utilize our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopts a robust research technique in order to deduce the market size and its estimates:
  • Examining demographic along with psychographic segmentation for market evaluation
  • Analyzing the macro and micro-economic indicators for each demography
  • Evaluating the current industry trends popular in the market.

Data Synthesis: This stage includes the evaluation and assessment of all the data acquired from the primary and secondary research. It likewise includes in evaluating the information for any disparity watched while information gathering identified with the market. The data & information is gathered with consideration to the heterogeneity of sources. Scientific and statistical methods are implemented for synthesizing dissimilar information sets and provide the relevant data which is fundamental for formulating strategies. Our organization has broad involvement with information amalgamation where the information goes through different stages:

  • Information Screening: Information screening is the way toward examining information/data gathered from the sources for errors/mistakes and amending it before data integration process. The screening includes in looking at raw information, identifying and distinguishing mistakes and managing missing information. The reason for the information screening is to ensure information is effectively entered or not. Our organization utilizes objective and precise information screening grades through repetitive quality checks.
  • Data Integration: The data integration method involves with the incorporation of numerous information streams. The data streams is important so as to deliver investigate examines that give overall market scenario to the investors. These information streams originate from different research contemplates and our in house database. After the screening of the information, our analysts conduct efficient integration of the data streams, optimizing connections between integrated surveys and syndicated data sources. There are two research approaches that we follow so as to coordinate our information; top down methodology and bottom up methodology. 
    • Top-down analysis generally refers to using broad factors as a basis for decision making. The top-down approach helps in identifying the overall market scenario along with the external and internal factors effecting the market growth.
    • The bottom-up approach takes a completely different approach. Generally, the bottom-up approach focuses its analysis on micro attributes and specific characteristics of the domain specific market.

Market Formulation & Deduction: The last stage includes assigning the data & information in a suitable way in order to derive market size. Analyst reviews and domain based opinions based on holistic approach of market estimation combined with industry investigation additionally features a crucial role in this stage.

This stage includes with the finalization of the market size and numbers that we have gathered from primary and secondary research. With the data & information addition, we ensure that there is no gap in the market information. Market trend analysis is finished by our analysts by utilizing data extrapolation procedures, which give the most ideal figures to the market.

Data Validation: Validation is the most crucial step in the process. Validation & re-validation through scientifically designed technique and process that helps us finalize data-points to be used for final calculations. This stage also involves with the data triangulation process. Data triangulation generally implicates the cross validation and matching the data which has been collected from primary and secondary research methods.

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