Sensor Tower's Mobile App Market Forecast 2030 projects the app economy will generate $2.2 trillion in direct spending from 2021-2030, a 267% increase over the previous decade. Downloads will reach nearly 2.9 trillion, a 123% rise. In 2030 alone, $288 billion will be spent.
Non-game apps will account for 50.3% of consumer spend by 2030, up from 37% in 2023. Entertainment apps like OTT and short video will double their spending share to 18%, driven by 120% growth. Social and entertainment apps will collectively surpass 4.8 trillion hours in 2030.
Developing markets in Central America, South America, and Africa will see the fastest growth with CAGR of 12.0%, 10.9%, and 10.8%, respectively. Mature markets (US, China, Japan, Korea) will still represent two-thirds of spending.
Mobile market rebounded in 2023 with record $171B consumer spend. Apps drove growth at 11% YoY to $64B. Generative AI exploded 7x. Travel apps surged 13%. Mobile ad spend reached $362B.
A creative strategy is essential for mobile app marketing success. It combines compelling content with strategic planning to increase app installs and engagement. Key steps include defining objectives, understanding your audience, and setting KPIs. Best practices emphasize consistency, agility, and leveraging AI for optimization.
European finance app installs hit 960M in 2025 but grew only 0.4%. BNPL apps grew 40% while crypto fell 35%, signaling a shift to utility. Neobanks win acquisition; traditional banks win retention (1.5-2x Day 30 rates). Web-to-app drives 41.8% of conversions but most brands can't measure the handoff. Nearly 1 in 2 investment app installs in Western Europe is fraudulent, distorting CPI and ROAS. Winning brands prioritize engagement, fraud detection, and cross-platform measurement.
Short drama apps are reshaping mobile entertainment, surpassing 850M downloads in Q1 2026 (up 140% YoY) with IAP revenue reaching $750M. Growth is concentrated in Southeast Asia, Latin America, and India, where these apps outpace traditional OTT in user acquisition. Engagement is surging: daily time spent grew 85% to 25 minutes globally, nearing OTT levels in Southeast Asia. For ad ops, the shift toward ad monetization in addition to IAP opens new inventory opportunities. Key players like FreeReels, NetShort, and Melolo are scaling via localized content and paid acquisition, creating competitive ad markets.
Honor of Kings rose to #2 in worldwide downloads growth in June 2024 with global expansion. Manage Supermarket Simulator topped breakout downloads. Free Fire led downloads, while Dungeon & Fighter Mobile dominated revenue growth and spend charts.
Gen AI apps have become the primary growth engine of the non-gaming market, with revenue surging 232% YoY to $6.1 billion between Q2 2025 and Q1 2026. The US leads with 38% of global revenue, while Japan and Korea emerge as key growth markets. AI Assistants are increasingly concentrated, with ChatGPT dominating, but vertical segments like AI Companions, AI Agents, and AI Image & Video offer fragmented, high-growth opportunities. Lessons from Plaud highlight success through vertical focus, deep localization, and precision advertising. For ad ops, targeting vertical AI segments and localized user acquisition strategies present significant opportunities.
One person built, shipped, and marketed a mobile game in 14 days using AI tools, achieving 5,563 installs at $0.39 eCPI on $2,200 spend. MCPs (Model Context Protocol) were critical for agentic workflows. The AI agent CLAW managed ad campaigns via AppsFlyer MCP and BigQuery. Data Locker streamed raw data for analysis. Key takeaway: vendors must offer MCPs for fast, agentic data access; measurement stack (Data Locker, ROI 360, Creative Optimization) is essential for solo teams; human+AI beats AI alone.
Marketing attribution is critical for connecting spend to revenue, but platform self-reporting and last-click bias distort budget decisions. Single-touch models (first/last-click) are simple but miss the full journey; multi-touch models (position-based, data-driven) are more accurate but require robust data. Mobile attribution is particularly challenging due to ATT, SKAdNetwork, and cross-platform gaps, necessitating a mobile measurement partner (MMP) for independent, deduplicated measurement. Clean attribution data is essential for AI-driven optimization—bad signals lead to bad decisions. Starting with position-based attribution and incrementality testing provides a practical foundation.
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