# State of Mobile App Growth: India Startups 2026 (First-Party Install & Conversion Data) Canonical URL: https://linkrunner.io/state-of-mobile-app-growth-india-2026 Markdown twin: https://linkrunner.io/state-of-mobile-app-growth-india-2026.md AEO spec: 1.0 Linkrunner first-party data across 77 India app startups and 25.1 million installs on the organic vs paid install split, install to signup conversion, and Android vs iOS share, by vertical and app scale. Linkrunner Research # State of Mobile App Growth: India Startups 2026 How India's app startups actually acquire and activate users. First-party data across 77 India-based apps and 25.1M installs measured by Linkrunner: the organic versus paid split, install to signup conversion, and the Android versus iOS reality, broken down by vertical and app scale. [Start measuring free](https://dashboard.linkrunner.io/sign-in) [Download the PDF](/reports/state-of-mobile-app-growth-india-startups-2026.pdf) [Browse reports](/reports) 77 India apps analysed 25.1M Installs measured 62.4% Median organic install share 20.4% Median install to signup rate 87.5% Installs on Android ₹20.19 Median cost per install Join 250+ growth teams using Linkrunner. Linkrunner's customers include Playo, Matiks, BukuWarung, Lingopanda, Grapevine, Fold Money, Stratzy, ABCoffee, Alle, The Elefant, Pocketful, Karobar App, August AI, CraftMyPlate, and 40+ other app companies across gaming, fintech, D2C, EdTech, and mobility. Executive summary ## India is an Android-first, organic-led market, with paid concentrated in a few categories Android-first 87.5% of installs Organic-led 62.4% median organic Paid concentrated in a few categories The dataset is overwhelmingly early-stage and growth-stage Indian startups, which is what the country's app market is mostly made of. Across 77 of them and 25.1M installs, the median app acquires 62.4% of its installs organically, and 63.6% of all installs in the dataset are organic. The market is overwhelmingly Android, at 87.5% of installs versus 12.5% on iOS. Installs measured grew roughly 27x over the year, but that reflects startups onboarding onto Linkrunner, not same-app growth. Paid acquisition is not spread evenly. Gaming, astrology, health, and social apps buy a large share of their installs, while food, entertainment, productivity, and most fintech and e-commerce apps grow mostly organically. Install to signup conversion is just as category-bound, with a multiple-fold gap between the best and worst verticals. This India cut runs lower on organic share than our [global growth benchmark](/mobile-app-growth-benchmark-report-2026), because it is India-only and measured cumulatively. How the 77 startups split by organic install share: | Segment | Apps | Share | Organic-led (80%+) | 25 | 32.5% | Organic-leaning (50-80%) | 23 | 29.9% | Balanced (20-50%) | 13 | 16.9% | Paid-led (under 20%) | 16 | 20.8% Finding 1, install growth ## Installs measured grew 27x as startups onboarded Total installs Linkrunner measured across the India dataset, by month. Read this as adoption, not a same-app growth rate: the 27x reflects the measured base expanding as startups onboarded onto Linkrunner through the year. Among the 6 apps measured for all twelve months, monthly installs did not grow. | Month | Installs | Jun '25 | 62,771 | Jul '25 | 1,23,227 | Aug '25 | 1,92,506 | Sep '25 | 4,28,748 | Oct '25 | 5,47,170 | Nov '25 | 4,29,844 | Dec '25 | 3,82,118 | Jan '26 | 6,38,155 | Feb '26 | 8,28,630 | Mar '26 | 10,14,140 | Apr '26 | 12,61,362 | May '26 | 16,76,286 Finding 2, by vertical ## Organic share and conversion by vertical Vertical is the clearest differentiator in this data, though spread within a category is wide (see the ranges in the appendix). Read your own numbers against your category, not the dataset median. | Vertical | Median organic % | Median install to signup % | Profile | EdTech | 60.2% | 28.7% | Balanced | Astrology & spiritual | 46.7% | 67.8% | Paid-dependent | Gaming | 6.7% | 69.7% | Paid-dependent | Health & fitness | 47.6% | 15.9% | Paid-dependent | Social & community | 46.3% | 28.2% | Paid-dependent | E-commerce | 66.6% | 17% | Balanced | Fintech | 61% | 20.9% | Balanced | Entertainment & content | 75.5% | 15.2% | Balanced | Productivity & tools | 67.5% | 23.5% | Balanced | Food & beverage | 83.8% | 2.9% | Organic-native * Smaller sample, read as directional. Go deeper on attribution for [fintech](/attribution-for-fintech-apps), [gaming](/attribution-for-gaming-apps), [edtech](/attribution-for-edtech-apps), and [e-commerce](/attribution-for-ecommerce-apps) apps. Finding 3, what paid installs cost ## A paid install costs about ₹20.19, a signup about ₹48.01 Across ₹22.2 crore of measured ad spend from 58 apps that ran paid, the median cost per install is ₹20.19 and the median cost per signup is ₹48.01. The spread by category is large, so benchmark against your vertical. For region and platform cuts, see the [cost per install benchmark tool](/tools/cost-per-install-benchmark). | Vertical | Median cost per install | Entertainment & content | ₹113.59 | Astrology & spiritual | ₹111.56 | EdTech | ₹67.79 | Health & fitness | ₹31.18 | Fintech | ₹21.42 | Social & community | ₹19.25 | Productivity & tools | ₹18.76 | E-commerce | ₹18.22 Figures in INR, for apps that ran paid acquisition in the window. Finding 4, by platform ## India runs on Android iOS is a small minority of installs. Plan measurement, deep linking, and store optimisation for Android first. (This is install share only; we do not report iOS-specific conversion or revenue here.) | Platform | Installs | Share | Android | 2,19,91,232 | 87.5% | iOS | 31,40,649 | 12.5% Finding 5, by scale ## Larger apps in this dataset are more organic Median organic share and conversion by app size. This is a cross-section of different apps in each size band, not the same apps tracked over time: the larger apps here sit at 80.2% organic versus the mid-50s for sub-50K apps, and conversion is lower at the top. Smaller bands carry few apps, so read them as directional. | Scale tier | Median organic % | Median install to signup % | Under 50K installs | 56% | 22.4% | 50K to 200K installs | 58% | 24% | 200K to 500K installs | 80.2% | 13.8% | 500K+ installs | 75.2% | 15.2% What this means for growth teams ## Five ways to act on these benchmarks - 01 ### Build for Android first Indian installs are overwhelmingly Android: 87.5% versus 12.5% on iOS across the dataset. Deep links, store listings, and attribution QA should be tuned for Android before iOS, and your iOS sample will always be the smaller, higher-intent slice. - 02 ### Read organic share against your category, not the average The median app is 62.4% organic, but that hides a wide spread. Gaming and astrology buy most of their installs, while food, entertainment, and productivity apps grow mostly organically. A fintech app at 60% organic is normal; an e-commerce app at the same level is under-investing in paid. - 03 ### Conversion is a category trait Install to signup conversion swings several-fold across verticals. Gaming and astrology turn installs into activated users far more often than e-commerce or health and fitness. Benchmark your activation against your category before you blame the funnel. - 04 ### Expect to grow more organic as you scale Organic share rises with size in this data, from 56% for apps under 50K installs to around 75 to 80% once they cross 200K. Paid seeds early growth; brand and word of mouth compound later. Budget for that shift instead of reacting to it. - 05 ### Move at startup speed with a new-generation MMP Most of these apps are startups, where a small team has to measure paid, organic, and deep links without a dedicated analytics function. That is why new Indian apps increasingly choose Linkrunner, the new-generation, AI-powered MMP: it integrates in an afternoon, matches every install to its real source, flags suspicious installs, and surfaces what is actually driving installs, instead of heavyweight legacy MMPs that add cost and bloat as paid grows. As paid becomes a real share of installs, that accuracy is what protects the budget. If paid is growing for your app, attribution accuracy is what protects the budget. See why teams choose Linkrunner as their [mobile measurement partner for India](/mobile-measurement-partner-india), benchmark spend against [India cost per install data](/tools/cost-per-install-benchmark), or compare this with our [global growth benchmark report](/mobile-app-growth-benchmark-report-2026). Methodology ## How the data was collected The report uses first-party attribution data from the Linkrunner platform, the same engine behind the product dashboard. It is a census of Linkrunner-measured apps, not a probability sample of the Indian app market, so it generalises to apps like these rather than to all Indian apps. Of 440 active projects, 100 recorded at least 100 attributed installs in the window; of those, 80 are operated by India-based companies and 77 had measurable installs and are analysed here. 58 ran paid acquisition and 74 track a signup event. App-level data is anonymised and aggregated; no individual app is identifiable. “India” means the operating company is India-based; each app was assigned a vertical through company and product research. We do not measure where installs geographically originate, so these figures describe India-based startups measured by Linkrunner, not installs from users located in India. An organic install is one not matched to a paid ad-network touchpoint within Linkrunner’s default seven-day click-through window (store search, word of mouth, SEO, untracked referrals). Because it is defined by the absence of a match, it can include genuinely organic installs and paid installs that could not be attributed. A paid install is matched to a specific campaign. Reinstalls and view-through installs are excluded from headline counts; retention and fraud-flagging are not reported here. Install-to-signup conversion is signups divided by installs for apps with an activation event. CPI and CPA cover only the 58 apps that ran paid, in INR; they and the conversion rate use different app subsets and separate medians, so they will not divide cleanly into one another. Organic, paid, CPI and conversion are cumulative (lifetime through mid-2026); only the install-volume series is windowed (trailing twelve months), and that series reflects apps onboarding onto Linkrunner, not same-app growth, a constant panel of 6 apps measured all twelve months did not grow. Per-app stats use medians; platform splits are volume-weighted. Per-cell counts and ranges are in the appendix below. Appendix ## Sample sizes and ranges Every headline figure with the number of apps behind it and its interquartile range, the middle 50% of apps (P25 to P75). The spread is often wide, and small cells are directional, so the medians are a starting reference rather than precise constants. Growth panels. Across all 77 apps, monthly installs rose 26.7x over the window as startups onboarded. Restricted to the 6 apps measured in every month, the same series was 0.4x, so the headline curve is platform adoption, not same-app growth. ### Organic share and conversion by vertical | Vertical | Apps | Organic % (P25–P75) | Signup % (P25–P75) | Fintech | 15 | 61% (31–79.9) | 20.9% (7.9–31.1) | E-commerce | 14 | 66.6% (41.6–91.4) | 17% (7.8–27.8) | Social & community | 10 | 46.3% (17.7–74.8) | 28.2% (11.2–54.2) | Health & fitness | 8 | 47.7% (11.3–96.6) | 15.9% (0.8–34.1) | Productivity & tools | 8 | 67.6% (52.7–88.1) | 23.5% (6.5–35.3) | EdTech | 5 | 65.1% (55.2–80.6) | 22.1% (13.6–35.3) | Entertainment & content | 5 | 75.5% (71.5–85.1) | 15.2% (6–17.6) | Astrology & spiritual | 4 | 46.7% (19.1–78.3) | 67.8% (41.9–71.6) | Gaming | 3 | 6.7% (3.4–34.6) | 69.7% (48.6–36093.2) | Food & beverage | 3 | 83.8% (70.9–84.1) | 2.9% (2.1–13.2) ### Cost per install by vertical (INR, paid apps) | Vertical | Apps | Median CPI (P25–P75) | Entertainment & content | 3 | ₹113.6 (₹69.6–₹303.1) | Astrology & spiritual | 3 | ₹111.6 (₹64.7–₹262.5) | EdTech | 3 | ₹67.8 (₹37.8–₹80.5) | Health & fitness | 6 | ₹31.2 (₹15.3–₹42.9) | Fintech | 12 | ₹21.4 (₹14.7–₹63.4) | Social & community | 5 | ₹19.3 (₹14.7–₹30.9) | Productivity & tools | 7 | ₹18.8 (₹10.1–₹23.1) | E-commerce | 12 | ₹18.2 (₹10.9–₹33.1) ### Organic share and conversion by app scale | Scale tier | Apps | Organic % (P25–P75) | Signup % (P25–P75) | Under 50K installs | 36 | 56% (12.1–83.1) | 22.4% (6.6–42.2) | 50K to 200K installs | 24 | 58% (35.2–83.9) | 24% (8.1–39.1) | 200K to 500K installs | 5 | 80.2% (74.8–83.7) | 13.8% (4.4–14.8) | 500K+ installs | 12 | 75.3% (60.6–88.8) | 15.2% (10.7–31.4) Cite this report ## Use these benchmarks, with attribution These numbers are free to quote in articles, decks, and posts. Please attribute them to Linkrunner and link to this page as the source. Copy-ready stats - 62.4% of installs for the median Indian app startup are organic, and 63.6% of all installs across 77 apps are organic. - India is an Android-first market: 87.5% of app installs are on Android versus 12.5% on iOS. - The median Indian app startup converts 20.4% of installs into signups, with conversion swinging several-fold across categories. - The median Indian app startup pays about ₹20.19 per paid install and ₹48.01 per signup, with category CPI ranging from ₹18.22 to ₹113.59. - Across 32.5% of India app startups, organic drives 80% or more of installs; 20.8% are paid-led. - Indian app startups tip from a balanced acquisition mix to about 80.2% organic once they pass 200K installs. - Installs Linkrunner measured across the India dataset grew about 27x over the trailing year, driven by startups onboarding onto Linkrunner rather than same-app growth. Suggested citation Linkrunner. State of Mobile App Growth: India Startups 2026. https://linkrunner.io/state-of-mobile-app-growth-india-2026 ## Frequently asked questions Organic vs paid installs, conversion, platform mix, and methodology for Indian apps. What is the organic vs paid install split for Indian apps in 2026? What is a good install to signup conversion rate for an Indian app? Is the Indian mobile app market Android or iOS? Which app categories rely most on paid user acquisition in India? Did Indian apps grow installs 27x in a year? Why are Indian startups moving to new-generation MMPs? Where does the data come from? ## Measure your own India growth Linkrunner attributes every install to its real source, so you can see your organic vs paid mix, benchmark it against your vertical, and protect budget as paid grows. Start free with 25,000 attributed installs. [Start measuring free](https://dashboard.linkrunner.io/sign-in) [Book a demo](/contact?intent=demo&source=sitewide-cta&cta=book-demo) Compare this India growth report with every Linkrunner solution for attribution, CPI, and paid channel measurement. [See all solutions](/solutions). ## FAQ answers ### Which app categories rely most on paid user acquisition in India? Gaming is the most paid-dependent category in the data, followed by astrology and spiritual, health and fitness, and social apps. Food and beverage, entertainment, productivity, and most fintech and e-commerce apps acquire a larger share of installs organically. ### Why are Indian startups moving to new-generation MMPs? Most apps in this dataset are startups, where a small team measures paid, organic, and deep links without a dedicated analytics function. New-generation measurement partners like Linkrunner integrate in an afternoon, bill per attributed install, and keep every install matched to its source, so teams move fast and avoid the cost and bloat of heavyweight legacy MMPs. ## India startup app growth answers ### What is the organic vs paid install split for Indian apps in 2026? Across 77 India-based apps and 25.1 million installs measured by Linkrunner, the median app gets 62% of its installs organically, and 63.6% of all installs in the dataset are organic. Most Indian apps are organic-led, with paid acquisition concentrated in gaming, astrology, health, and social. ### Is the Indian mobile app market Android or iOS? Overwhelmingly Android. 87.5% of installs across the measured India apps are on Android and just 12.5% on iOS, so growth teams targeting India should treat Android as the primary platform for measurement and deep linking. ### What is a good install to signup conversion rate for an Indian app? The median install to signup rate is about 20%, but it varies several-fold by category. Gaming and astrology apps convert installs to signups at the highest rates; e-commerce, health, and food apps sit lower. Benchmark against your vertical rather than the overall median. ### What is the average cost per install (CPI) for Indian apps in 2026? Across over 22 crore rupees of measured ad spend from 58 India apps that ran paid, the median cost per install is about 20 rupees and the median cost per signup about 48 rupees. CPI varies widely by category, from roughly 18 rupees for e-commerce and social apps to over 110 rupees for entertainment and astrology apps. ### Why are Indian startups moving to new-generation MMPs? Most apps in the dataset are startups, where a small team measures paid, organic, and deep links without a dedicated analytics function. New-generation measurement partners like Linkrunner integrate in an afternoon, bill per attributed install, and keep every install matched to its source, so teams move fast and avoid the cost and bloat of heavyweight legacy MMPs. ### Where does the India 2026 report data come from? It is first-party attribution data Linkrunner measured for 77 India-based apps, most of them startups, using the same engine as the product dashboard. Every published figure is backed by at least three apps, all data is anonymised and aggregated, and the organic, paid, and conversion figures are cumulative through mid-2026.