State of App Marketing in India – 2025 Edition

State of App Marketing in India – 2025 Edition

01

KEY findings

816%
App installs grew 816% since 2017, but momentum slowed
After years of rapid expansion, install growth eased to +3% in 2024 and is trending slightly lower in 2025 as the market matures.
48%
UA spend dropped 48% as Android budgets tightened sharply
Overall spend fell through mid-2025, led by Android cutbacks, while iOS briefly surged 101% in Q4 2024, targeting premium users.
89%
Engagement surged, with sessions up as much as 89%
App usage continued to deepen, rising 25% overall and nearly 90% in iOS, showing stronger activity per user.

Shopping installs grew nearly 10x as efficiency improved

Paid installs climbed steadily through 2025, while remarketing conversions increased by +386%, driven by spikes during festive and sale periods.

Finance paid installs jumped 397%, but value lagged

User acquisition in Finance accelerated, yet remarketing conversions fell up to –48%, widening the gap between installs and transactions.

Fraud rate averaged 12% of installs, peaking at 38% in Finance

Shopping fraud doubled year on year to 7%, while Entertainment fell sharply, and Gaming remained comparatively lower at below 5%.

02

introduction

Efficiency is reshaping India’s app market

India’s app economy continues to expand in both scale and value. In Q2 2025, smartphone shipments reached 39 million units, representing a 7% year-over-year increase. Affordable 5G devices also surged in popularity, with shipments rising by nearly 20% YoY as consumers upgraded to faster connectivity.

Value growth is outpacing volume growth. India’s smartphone market grew 8% in volume and 18% in value in Q2 2025, driven by demand for mid-range and premium models supported by financing and discount programs. Combined with near-universal adoption of UPI among young users, India is becoming not only the largest but also a more monetizable app market.

Together, these shifts mark a turning point. Marketers are no longer focused solely on acquisition volume. Efficiency, engagement, and monetization quality are now central to strategy.

In this report, all India-specific app marketing results are based on fully anonymous and aggregated data from AppsFlyer’s India dataset. We analyzed platform splits (Android vs iOS), user paying behavior, UA spend trends, monetization models, engagement, and fraud exposure. Together, these insights provide a detailed picture of how India’s app market is evolving and where opportunities and risks lie for 2025 and beyond.

Data sample *
13.6B
installs (2017–2025)
57.2B
paid installs (Q3 2023–Q2 2025)
$9.1B
UA spend (Q3 2023–Q2 2025)

* All results are based on fully anonymous and aggregated data. To ensure statistical validity, we follow strict volume thresholds and methodologies and only present data when these conditions are met.

03

Overall Insights

Overall install trend by country (normalized)


UA Spend

Paid installs and Remarketing conversions trend by platform (normalized)


App sessions trend by platform (normalized)


App install trend

Paid installs and Remarketing conversions trend by platform (normalized)


Paid installs and Remarketing conversions trend by platform (normalized)

Share of apps by monetization model


Country performance 2025 vs 2024

Paid installs and Remarketing conversions trend by platform (normalized)

App sessions trend by platform (normalized)


Overall installs and Non-organic install trend (normalized)

Install split by type – India

Total app sessions (normalized)


Install fraud rate trend by platform

Share of install fraud by type

04

Experts' corner

Yashita Mukhi
Head of Apps & International Growth Business, Google India
Poojan Shah
Head of App Developer Sales, Google India
What shifts are you seeing in India’s user acquisition strategy as growth stabilizes—and where is performance really coming from now?

The core strategic shift in India’s user acquisition (UA) is moving from volume-led acquisition to performance-driven growth, with a focus on driving user Lifetime Value (LTV). The era of explosive App volume is over, and install growth is expected to slightly decline in 2025 as the market matures. 

As a result, the focus is shifting from simply chasing installs to maximizing efficiency, engagement, and monetization quality. On Google Ads Platform, performance is now driven by a strategic dual-platform approach: Android scale and iOS efficiency.Android still delivers mass-market reach, but advertisers are increasingly optimizing for down-funnel quality rather than broad reach. Meanwhile, iOS has emerged as the premium, high-efficiency channel, targeting a high-value user base. Beyond acquisition, retention of Power Users is critical as they contribute to a significant share of platform sales.

How are engagement patterns evolving across key categories—and which early behaviors best predict long-term value?

Engagement is rapidly becoming the new currency of success in India’s mature app market. While overall session volume remains stable, the underlying patterns indicate that people are using apps in a deeper, more meaningful way. The shift across all categories is from simple transactions to habitual, personalized utility.

On Google Ads platform, we notice evolving engagement patterns across both established (i.e. Finance, E-commerce, OTT ) and high-growth categories (i.e. Quick Commerce, Micro-Drama)

For instance, for Fintech, engagement has moved from occasional transactions (like loan applications) to habitual utility. Key indicators are daily check-ins for portfolio tracking or frequent UPI usage. 

For E-commerce, deep engagement involves interacting with content like video commerce/live streaming and consuming vernacular product reviews, which significantly increases session duration. 

In Entertainment & OTT, the primary shift is towards regional language content and highly responsive formats. Engagement is crucially measured by user interaction with AI-driven personalization and completion rates for full episodes/movies, as users expect content to adapt instantly to their context (time, location, preference).

The primary shift in Quick Commerce is the move from a novelty to an essential utility. Acquisition remains hyper-localized and geo-fenced, focusing on speed and the availability of hyperlocal inventory (“Get it in 10 minutes”). 

While the Micro-Drama vertical is fueled by the demand for bingeable, short-form content, using ad creatives that leverage compelling story-arc cliffhangers to generate immediate curiosity.

The predictive window for LTV has narrowed, making the first 72 hours critical for capturing high-value signals. This might be completion of KYC/Payment in Finance or the first micro-transaction conversion in Micro-Drama. For Quick Commerce, the ultimate LTV predictor is the Repeat Purchase Rate (RPR) within the first 30 days, signaled by the early frequency of browsing and cart additions. For content-driven apps, it is the Full Episode Completion Rate and the speed of content consumption on Day 1.

How do Google's App Campaigns help advertisers maximize performance and ROI specifically within the higher-value iOS segment??

Google’s App Campaigns are engineered to navigate the unique complexities and high-value opportunity of the iOS environment. Our strategy is built on three core pillars that empower advertisers to maximize ROI, utilize privacy-centric data, and secure conversion visibility, especially against the backdrop of ATT and SKAdNetwork changes.
1. AI-Powered Optimization
We are continually strengthening our AI-powered campaign models to increase prediction accuracy and reduce campaign fluctuation. By utilizing consented conversions and YouTube ATT opt-in data, our models gain more “ground truth,” leading to significant performance gains for clients. Recent back-end quality enhancements to our AI models have yielded a median: 17% CPA decrease and a 37% reported in-app conversions increase (Source: Google Internal Data, October 2024 traffic experiment) . This level of automated optimization helps advertisers profitably target premium users across Google’s massive inventory—Search, YouTube, and the Google Display Network—where iOS users are highly active.
2. Privacy-Preserving Measurement
Google is leading the charge in developing durable measurement solutions that protect user data. Our approach relies on modeled conversions, aggregated data, and On-Device Measurement (ODM). ODM is a unique solution that uses the client’s first-party data for attribution without allowing any user-level data to leave the device. This privacy-safe methodology results in more observable iOS conversions for campaign performance and conversion visibility.
3. Integrated Conversion Measurement
To deliver a comprehensive and accurate view of campaign performance, Google launched Integrated Conversion Measurement (ICM). This solution provides more robust reporting for App Attribution Partners. Furthermore, the launch of Integrated Conversion Measurement (ICM) in App Ads will offer comprehensive reporting, simplifying cross-platform data analysis and providing clarity on the true impact of iOS ad spend.

The above approach when coupled with available bidding strategies such as tROAS, allows advertisers to set a specific return on ad spend (ROAS) for their app campaigns, enabling them to optimize towards achieving their business goals.

During peak seasons, how should acquisition and re-engagement be sequenced to build lasting value rather than short-term spikes?

India’s peak season, be it the Festive Period, IPL or other demand spikes, is no longer a short window; it’s a multi-moment economy spanning weeks. While data-driven, always-on growth campaigns are essential, a phased approach is the key differentiator between short-term spikes and sustainable, lasting growth.

First, the real work starts long before the festive rush. This is where we lay the foundation. This is why we created tools like Demand Gen campaigns, to help brands build awareness and connect with communities on platforms like YouTube and Discover early on. It’s about building brand recall with high-intent users before the marketplace becomes noisy and expensive.

Then, as the peak season arrives, the focus must shift from reacting to proactively managing the surge. Our AI is powerful, but it’s at its best when it can anticipate change.We’ve seen that advertisers who use Seasonality Adjustments for Performance Max campaigns typically see a substantial lift in conversion rates during short sales events. It’s about giving our AI the context to be a smarter partner for you when it matters most, capturing demand across all of Google’s channels.

Finally, what happens post-peak is most critical. This is where loyalty is truly forged. Unfortunately, it’s also when risks are highest; some industry reports show phishing attacks can spike by up to 70% during peak shopping seasons. Therefore, the focus must be on re-engagement and protection. By using AI-powered tools to safeguard the user experience, you not only protect your ROI but also solidify the trust you’ve worked so hard to build.

Ultimately, winning in India is a long-term commitment. Play it as  a test match rather than a T20, integrate your campaigns in tandem with your users journey – not just during the celebrations, but every day after.

How will AI shape app marketing in India over the next 12 months?

The next wave of app marketing in India will be defined by a simple truth: AI will no longer be an add-on—it will be the crucial enabler aiding decisions from product development to user engagement. For us at Google, this evolution is about using AI not just to accelerate outcomes, but to deepen human creativity and connect brands with users more meaningfully.

First, AI will serve as a core business transformation engine. FinTech leaders are already using machine learning to analyze non-traditional datasets—like utility bills and in-app behaviors—to assess creditworthiness. This innovation has the potential to unlock access to credit for millions of new users across Bharat, expanding the addressable market by nearly 20% over the next few years. The same transformation is visible in app engineering, where internal Google data shows AI-assisted coding tools can cut development cycles by up to 40%, freeing teams to focus on innovation rather than iteration.

Second, AI will reimagine marketing productivity and performance. Platforms using tools like Gemini and Performance Max saw an average of 18% higher ROAS by analyzing user signals across YouTube, Search, and Play in real time. By generating localized creatives and translating them across 10+ Indian languages, marketers are building deeper relevance at scale—something impossible through manual intervention.

Finally, AI will make real-time marketing optimization the new normal. Predictive models now estimate a user’s lifetime value before acquisition, helping brands shift budgets dynamically toward high-value cohorts. Marketers leveraging these insights on Google Ads and Firebase have seen up to a 25% lift in LTV within 90 days.

AI’s role over the next 12 months will be to empower India’s app ecosystem to think beyond campaigns—to build resilient, insight-rich, and locally resonant businesses that grow with every user touchpoint.

What one piece of practical advice would you give marketing leaders planning the next year?

If there is one message for app marketing leaders planning the year ahead, it is this: Own Your Data and Let AI Own the Scale. The key to winning the next wave of growth in India is clarity and agility powered by a technical advantage.

Build the Foundation: The First-Party Data Mandate
1. The era of easy third-party signals (like mobile ad IDs) is ending. First-party data (1P), collected directly from your users with explicit, verifiable consent (in compliance with the DPDP Act), is the only reliable, future-proof fuel for growth.
2. Action: Invest immediately in a Consent-First Customer Data Platform (CDP). This is non-negotiable. Your ability to measure, personalize, and optimize will depend entirely on the quality and volume of this clean, consent-driven 1P data.

Feed the Engine: Maximize AI-Driven Automation
1. Generative AI for Reach: The only way to win in vernacular-first Bharat is by deploying vast amounts of hyper-localized, culturally resonant creatives. Use Generative AI tools to create and test thousands of variants across key regional languages (vernacular-first creative at scale).
2. Machine Learning for Efficiency: Power your automated campaign platforms (like Google’s App Campaigns or PMax) by piping in your clean 1P data signals. The combination of your proprietary data and our AI will deliver unparalleled efficiency, finding high-value users even when third-party signals are scarce.

Your Mandate: Spend your human time on insight, strategy, and business planning. Let AI handle the heavy lifting of data analysis, creative execution, and campaign optimization—fueled exclusively by your clean, consent-driven first-party data. Clarity on this dual investment will outperform raw scale every time.

05

KEY TAKEAWAYS

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Redefine growth in a slowing market

Install momentum has flattened, with growth at +3% in 2024 and a –2% forecast for 2025. India’s next chapter will be driven less by volume and more by efficiency, retention, and monetization quality.

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Turn scale and efficiency into complementary levers

India’s app economy is split between Android’s reach and iOS’s performance. The lesson is not choosing one, but building strategies where both play distinct roles.

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Capture emerging engagement and efficiency drivers

New behaviors and models are reshaping value. Deeper iOS engagement and efficiency gains in categories like Shopping and Finance highlight where quality is replacing quantity.

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Close the gap between acquisition and value

Paid installs can surge without remarketing conversions keeping pace. In Finance, iOS paid installs rose by +397% while remarketing conversions declined. The job is turning new users into retained, transacting ones.

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Treat fraud as a structural cost of growth

Fraud averaged 12% overall, peaking at 38% in the Finance sector. With Shopping also rising fast, protecting ROI increasingly requires prevention to be embedded in every performance strategy.

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Ready to start making good data driven choices?

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Ready to start making good data driven choices?