The global app analytics market was valued at US$ 2,643.7 million in 2023 and is projected to reach US$ 16,008.8 million by 2033, registering a CAGR of 19.7% from 2023 to 2033. Furthermore, with growing adoption across industries such as BFSI, retail & e-commerce, and IT & telecom, the overall demand for market share reached US$ 1,950.4 in 2021 and is likely to touch a valuation of US$ 2,238.5 million in 2022.
The revolution of analytics has transformed several business operations across the world. By using specific mobile and web analytics applications, customers can be targeted individually via push messages, increasing click-through rates.
App analytics is the process of gathering, analyzing, and providing actionable insights from metrics and usage data related to the delivery of applications. It captures data from mobile app, website, and web app visitors to identify unique users, track their journeys, record their behavior, and report on the app's performance.
Applications on desktop, mobile, and other devices are all monitored by app analytics. Software for app analytics is used to hasten the process of making more informed, data-driven decisions. The growing popularity of marketing & advertising analytics, revenue analytics, and in-app performance analytics, among others, is expected to drive the growth of the market.
By delivering real-time analysis through data visualization, application analytics offers insights into the functionality of an application. IT operations, customer experience, and business outcomes are all included in the application insights analytics. This enables businesses to swiftly identify the fundamental causes of problems with performance and make the necessary adjustments for efficiency in the present.
Furthermore, Click Through Rates (CTR) are remarkable in brand-centric ads and performance marketing. Thus, app analytics solutions offer extensive data insights, which help enterprises with data insights aiding in attracting new customers. Moreover, by tracking usage frequency, app analytics assists businesses in controlling Customer Lifetime Value (CLV) and generating income from customers.
Thus, several apps are going for client attention and visibility for increasing in users and are implementing various techniques for maximizing growth rate and ROI.
| Attributes | Key Insights |
|---|---|
| App Analytics Market Estimated Size (2023) | US$ 2,643.7 million |
| Projected Market Valuation (2033) | US$ 16,008.8 million |
| Value-based CAGR (2023 to 2033) | 19.7% |
| Top 5 Vendor Market Share | Around 35% |
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The app analytics market size is estimated to capture a 19.7% CAGR between 2023 and 2033 compared to the 17.6% CAGR registered from 2018 to 2022.
The relatively high pricing and discrepancies in security and support systems led to the slow adoption of app analytics in the historic period. However, with increasing usage of app analytics in applications such as marketing & advertising, demand in the app analytics market is poised to grow exponentially during the assessment period.
The adoption of app analytics tools assists in precise and customer-focused marketing and offers accurate data, which helps in tracking the achievements of marketing goals from campaigns. This may continue to fuel the demand for app analytics solutions across different industry verticals.
Real-time analytics and metrics, personalization, and accurate data collection with customer-focused marketing are key reasons for the increased adoption of app analytics. Thus, app analytics is essential to drive process improvements and track the ROI of product features and customer retention.
Increasing Smartphone Penetration to Fuel the App Analytics Market Demand
Growing internet penetration, along with rising social media subscriptions, has contributed to the increasing demand for smartphones across the globe. The ownership of these devices is extremely high in countries like South Korea, China, the United States and more.
Moreover, roughly a third of people worldwide use smartphones in developing countries. This development, growth, and adoption of these smart devices may continue to fuel the adoption of the app analytics market shortly.
Principal Consultant
Rising Focus Towards Retaining Customers and Improving Their Experience Fueling Demand for App Analytics Market in the United States
The app analytics demand in the United States is expected to account for nearly 68.5% of the North American app analytics market share in 2023, and it is further expected to rise at a prolific CAGR of around 15.4% during the forecast period.
Several large enterprises in the country are adopting app analytics solutions across their operations to retain users and improve and enhance customer experience.
Similarly, the incorporation of several emerging and connected technologies, such as big data, IoT, and mobility solutions, are some of the key points aiding in the expansion of the market in the country.
Moreover, several organizations across the regions, such as Google and IBM, have launched mobile and web analytics platforms for predicting future events with AI, cloud data management software, etc. Such advancements in technology are contributing to the market growth in the country.
Rising Demand For Mobile and Web Apps Triggering Market Growth in Germany
As per FMI, the app analytics market in Germany is poised to grow at 19.1% CAGR during the forecast period, accounting for nearly 21.2% of the total Europe market share in 2023. Growing demand for mobile and web apps, increasing mobile penetration, a rise in investments in internet architecture, and a rising need for improving user experience are some of the factors driving demand in the app analytics market.
Moreover, the inclination of enterprises for advertising and the rapid expansion of end-use industries may further boost the market growth in Germany during the forecast period.
Growing Need for Understanding Users Behavior Pushing Demand for Mobile App Analytics Market
The mobile app analytics segment is expected to record at a CAGR of 20.4% during the forecast period. Mobile app analytics offers tracking of distinct user acquisition goals in a singular place, assists in tracking progress required for business goals, and unifies data from several advertising sources, which contributes to the increased market demand.
User engagement is higher for mobile applications with strong retention rates. Therefore, greater involvement results in increased clientele. The usage of mobile app analytics assists apps in focusing on purchasing clients and promising clients while lowering the gap between maintenance and churn.
Some key considerations for fueled adoption of mobile app analytics are accurate data collection and maintenance, customized mobile apps, and better development and functionality through ROI.
Similarly, the rising penetration of smartphones and mobile apps may further support the growth of this segment during the forecast period.
Demand for App Analytics To Remain High For Marketing & Advertising Application
As per FMI, the marketing & advertising analytics segment is expected to showcase the highest growth rate in the coming years, creating an absolute opportunity of US$ 8,034.2 million by the end of 2033.
Incorporating app analytics across marketing and advertising enables customer journey personalization and provide accurate information on how customers interact with social media and brands. It also enables mapping of customer interactions with messages and content, which drives market adoption.
Granular segmentation, tailored messaging, and multi-channel customer view are some of the attributes which drive the growth. Furthermore, data integration, campaign optimization, awareness analysis, and marketing attribution modeling are some of the key advantages that fuel the marketing and advertising analytics demand across the app analytics market.
Increasing Usage of Social Media Apps Fueling Sales in the Media and Entertainment Industry
As per FMI, the media and entertainment segment is estimated to record a CAGR of 18.4% during the forecast period. The increasing usage of messenger and social media apps among customers is driving the demand for app analytics in the media and entertainment industry.
The media and entertainment segment relies on customer data to keep users engaged. Several metrics, such as average clicks, views, and more with machine learning and big data, are combined to carve new marketing strategies.
Moreover, the evolving entertainment landscape with television and internet, transformation in OTT or over-the-top content, along with a rapid surge in OTT industry players such as Amazon Prime, Disney, and Netflix, are expected to boost the demand across the industry during the assessment period.
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Leading app analytics market players continuously focus on enhancing existing solutions and product innovations to strengthen their product portfolios. Besides this, they are adopting strategies such as partnerships, collaborations, and mergers to expand their global footprint. For instance,
Google and Kochava – Top App Analytics Deployment Companies Giving You Data About How Users Find Your App
If you want to get a deep assessment of your users and improve their experience, Google and Kochave are the perfect specialists. Google has become a global leader in the app analytics space. Its Mobile App Acquisition gives you data about how users find your app, including new users and the most popular devices and operating systems.
Google Analytics, offered by Google, is used to monitor website activities, including page views per session, average session length, bounce rates, and information about the traffic source. As of 2019, Google Analytics is the most popular web analytics service. The Google Analytics for Mobile Apps SDK from Google Analytics enables the collection of usage information from iOS and Android apps.
The company continuously expands its product portfolio by launching new platforms and services. For instance, in 2018, Google launched Google Marketing Platform, an internet marketing and analytics brand. It unifies Google's Analytics 360 and DoubleClick advertising services.
Similarly, in 2020, Google introduced Google Analytics 4 to deliver a deeper analysis and enable businesses to understand customer preferences and create better experiences for them.
Another key player in the application analytics space is Kochava. It is the premier attribution platform and the host of the biggest independent mobile data marketplace. The organization offers safe, real-time data solutions to support businesses in developing their identities, defining and energizing consumers, and measuring and optimizing every part of their marketing.
The company is continuously adopting strategies such as launching new platforms and services and partnering and collaborating with other companies. For instance, in March 2021, Looksoft Advertising was the first Polish agency to become a Kochava Authorized Partner. The company may deploy growth management for applications and measure new user acquisition efforts using Kochava technology. Additionally, it may serve as a regional hub of expertise for the use of Kochava products by Polish clients in instruction, training, technical support, and implementation.
In 2016, Kochava launched free app analytics for all app developers. With this new solution, advertisers can access the pros' analytic tools to measure, analyze, and optimize campaigns across global ad networks.
| Attributes | Details |
|---|---|
| Estimated Market Value (2023) | US$ 2,643.7 million |
| Projected Market Value (2033) | US$ 16,008.8 million |
| Market CAGR 2023 to 2033 | 19.7% |
| Share of top 5 players | Around 35% |
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Market Analysis | US$ million for Value |
| Key Regions Covered | North America; Latin America; Europe; East Asia; South Asia & Pacific; and the Middle East & Africa |
| Key Countries Covered | United States, Canada, Germany, United Kingdom, France, Italy, Spain, Russia, China, Japan, South Korea, India, Malaysia, Indonesia, Singapore, Australia & New Zealand, GCC Countries, Turkey, and South Africa |
| Key Segments Covered | Type, Application, Industry, and Region. |
| Key Companies Profiled | Taplytics; Kochava; Adobe Systems Inc.; IBM Corporation; Amazon.com, Inc.; Google Inc.; Yahoo Inc.; Country; Upland Software, Inc.; Apptentive; Moengage; Mixpanel; Content Square SAS; TUNE Inc.; Clever Tap; AppsFlyer; Amplitude; Appsee |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
Rising mobile app usage and optimization of app performance are key drivers fueling app analytics market expansion.
The app analytics market size is projected to reach a valuation of US$ 16,008.8 million by 2033, up from US$ 2,643.7 million in 2023.
The app analytics market is anticipated to upsurge at a CAGR of 19.7% through 2033.
The United States holds a leading position in the app analytics market, given its robust investment in data analytics and the presence of key tech companies.
The app analytics market witnessed a significant 17.6% CAGR between 2018 and 2022.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Type, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Type, 2023 to 2033
5.3.1. Mobile
5.3.2. Web/Desktop
5.4. Y-o-Y Growth Trend Analysis By Type, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Type, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033
6.3.1. Marketing & Advertising Analytics
6.3.2. Revenue Analytics
6.3.3. In-app Performance Analytics
6.3.4. Others
6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Industry, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry, 2023 to 2033
7.3.1. BFSI
7.3.2. Retail & E-commerce
7.3.3. Media & Entertainment
7.3.4. Travel and Tourism
7.3.5. IT & Telecom
7.3.6. Others
7.4. Y-o-Y Growth Trend Analysis By Industry, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Industry, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
8.3.1. North America
8.3.2. Latin America
8.3.3. Western Europe
8.3.4. Eastern Europe
8.3.5. South Asia and Pacific
8.3.6. East Asia
8.3.7. Middle East and Africa
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. USA
9.2.1.2. Canada
9.2.2. By Type
9.2.3. By Application
9.2.4. By Industry
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Type
9.3.3. By Application
9.3.4. By Industry
9.4. Key Takeaways
10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Type
10.2.3. By Application
10.2.4. By Industry
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Type
10.3.3. By Application
10.3.4. By Industry
10.4. Key Takeaways
11. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. UK
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Western Europe
11.2.2. By Type
11.2.3. By Application
11.2.4. By Industry
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Type
11.3.3. By Application
11.3.4. By Industry
11.4. Key Takeaways
12. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Poland
12.2.1.2. Russia
12.2.1.3. Czech Republic
12.2.1.4. Romania
12.2.1.5. Rest of Eastern Europe
12.2.2. By Type
12.2.3. By Application
12.2.4. By Industry
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Type
12.3.3. By Application
12.3.4. By Industry
12.4. Key Takeaways
13. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Bangladesh
13.2.1.3. Australia
13.2.1.4. New Zealand
13.2.1.5. Rest of South Asia and Pacific
13.2.2. By Type
13.2.3. By Application
13.2.4. By Industry
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Type
13.3.3. By Application
13.3.4. By Industry
13.4. Key Takeaways
14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Type
14.2.3. By Application
14.2.4. By Industry
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Type
14.3.3. By Application
14.3.4. By Industry
14.4. Key Takeaways
15. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Type
15.2.3. By Application
15.2.4. By Industry
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Type
15.3.3. By Application
15.3.4. By Industry
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. USA
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2022
16.1.2.1. By Type
16.1.2.2. By Application
16.1.2.3. By Industry
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2022
16.2.2.1. By Type
16.2.2.2. By Application
16.2.2.3. By Industry
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2022
16.3.2.1. By Type
16.3.2.2. By Application
16.3.2.3. By Industry
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2022
16.4.2.1. By Type
16.4.2.2. By Application
16.4.2.3. By Industry
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2022
16.5.2.1. By Type
16.5.2.2. By Application
16.5.2.3. By Industry
16.6. UK
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2022
16.6.2.1. By Type
16.6.2.2. By Application
16.6.2.3. By Industry
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2022
16.7.2.1. By Type
16.7.2.2. By Application
16.7.2.3. By Industry
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2022
16.8.2.1. By Type
16.8.2.2. By Application
16.8.2.3. By Industry
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2022
16.9.2.1. By Type
16.9.2.2. By Application
16.9.2.3. By Industry
16.10. Poland
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2022
16.10.2.1. By Type
16.10.2.2. By Application
16.10.2.3. By Industry
16.11. Russia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2022
16.11.2.1. By Type
16.11.2.2. By Application
16.11.2.3. By Industry
16.12. Czech Republic
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2022
16.12.2.1. By Type
16.12.2.2. By Application
16.12.2.3. By Industry
16.13. Romania
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2022
16.13.2.1. By Type
16.13.2.2. By Application
16.13.2.3. By Industry
16.14. India
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2022
16.14.2.1. By Type
16.14.2.2. By Application
16.14.2.3. By Industry
16.15. Bangladesh
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2022
16.15.2.1. By Type
16.15.2.2. By Application
16.15.2.3. By Industry
16.16. Australia
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2022
16.16.2.1. By Type
16.16.2.2. By Application
16.16.2.3. By Industry
16.17. New Zealand
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2022
16.17.2.1. By Type
16.17.2.2. By Application
16.17.2.3. By Industry
16.18. China
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2022
16.18.2.1. By Type
16.18.2.2. By Application
16.18.2.3. By Industry
16.19. Japan
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2022
16.19.2.1. By Type
16.19.2.2. By Application
16.19.2.3. By Industry
16.20. South Korea
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2022
16.20.2.1. By Type
16.20.2.2. By Application
16.20.2.3. By Industry
16.21. GCC Countries
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2022
16.21.2.1. By Type
16.21.2.2. By Application
16.21.2.3. By Industry
16.22. South Africa
16.22.1. Pricing Analysis
16.22.2. Market Share Analysis, 2022
16.22.2.1. By Type
16.22.2.2. By Application
16.22.2.3. By Industry
16.23. Israel
16.23.1. Pricing Analysis
16.23.2. Market Share Analysis, 2022
16.23.2.1. By Type
16.23.2.2. By Application
16.23.2.3. By Industry
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Type
17.3.3. By Application
17.3.4. By Industry
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. Taplytics
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. Kochava
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. Adobe Systems Inc.
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. IBM Corporation
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. Amazon.com, Inc.
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. Google Inc.
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. Yahoo Inc.
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. Countly
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. Upland Software, Inc.
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. Apptentive
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
18.1.11. Moengage
18.1.11.1. Overview
18.1.11.2. Product Portfolio
18.1.11.3. Profitability by Market Segments
18.1.11.4. Sales Footprint
18.1.11.5. Strategy Overview
18.1.11.5.1. Marketing Strategy
18.1.12. Mixpanel
18.1.12.1. Overview
18.1.12.2. Product Portfolio
18.1.12.3. Profitability by Market Segments
18.1.12.4. Sales Footprint
18.1.12.5. Strategy Overview
18.1.12.5.1. Marketing Strategy
18.1.13. Content Square SAS
18.1.13.1. Overview
18.1.13.2. Product Portfolio
18.1.13.3. Profitability by Market Segments
18.1.13.4. Sales Footprint
18.1.13.5. Strategy Overview
18.1.13.5.1. Marketing Strategy
18.1.14. TUNE Inc.
18.1.14.1. Overview
18.1.14.2. Product Portfolio
18.1.14.3. Profitability by Market Segments
18.1.14.4. Sales Footprint
18.1.14.5. Strategy Overview
18.1.14.5.1. Marketing Strategy
18.1.15. Clever Tap
18.1.15.1. Overview
18.1.15.2. Product Portfolio
18.1.15.3. Profitability by Market Segments
18.1.15.4. Sales Footprint
18.1.15.5. Strategy Overview
18.1.15.5.1. Marketing Strategy
18.1.16. AppsFlyer
18.1.16.1. Overview
18.1.16.2. Product Portfolio
18.1.16.3. Profitability by Market Segments
18.1.16.4. Sales Footprint
18.1.16.5. Strategy Overview
18.1.16.5.1. Marketing Strategy
18.1.17. Amplitude
18.1.17.1. Overview
18.1.17.2. Product Portfolio
18.1.17.3. Profitability by Market Segments
18.1.17.4. Sales Footprint
18.1.17.5. Strategy Overview
18.1.17.5.1. Marketing Strategy
18.1.18. Appsee
18.1.18.1. Overview
18.1.18.2. Product Portfolio
18.1.18.3. Profitability by Market Segments
18.1.18.4. Sales Footprint
18.1.18.5. Strategy Overview
18.1.18.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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