AI In Mobile Apps Statistics By Market Growth And Usage (2026)

First Glance

AI In Mobile Apps Statistics: AI is now one of the fastest-growing parts of the mobile app world, and more and more apps are using it every day. Many app makers are now building AI features right into their apps, often to make the app easier and better to use. Apps that use generative AI, like chatbots and content creators, are a big part of this growth, with more people using them and spending more money on them. AI is showing up in things like personalized suggestions, chatbots, and voice assistants, and it’s quickly becoming a normal part of apps instead of just an extra feature. 

As user expectations continue to rise, app developers are leveraging AI to deliver smarter, faster, and more intuitive experiences. Machine learning algorithms enable apps to learn user behavior, anticipate needs, and offer tailored content, while natural language processing enhances communication through chatbots and virtual assistants. In this article, you will explore the newest facts about AI in mobile apps.

Must Reads by the Editor

1. Gartner forecast in January 2025 that mobile-app usage will decline by 25% by 2027 as AI assistants increasingly complete tasks for users.
2. ChatGPT ranked 1st among GenAI consumer apps with approximately 770 million downloads worldwide in 2025, more than double Google Gemini’s 354 million.
3. Amazon’s Rufus served over 300 million customers in 2025, contributing nearly USD 12 billion in annualized incremental sales, and shoppers using it were 60% more likely to complete purchases.
4. Gartner found only 11% of U.S. consumers accepted autonomous AI purchasing, even though 31% welcomed AI-assisted product selection.
5. Smartphone AI detected skin lesions with 95% sensitivity and 78% specificity across 23,190 participants in a healthcare use-case study.
6. Hello Tractor’s AI-powered agriculture app digitized 3.5 million acres, increased production by 5 million metric tons, and created 6,000 jobs.
7. Organizations with 80% to 100% developer adoption of AI recorded productivity gains exceeding 110% in software development.

Recent AI in Mobile Apps Developments

• On January 5, 2026, Samsung announced plans to expand Gemini-enabled devices to 800 million units by year-end 2026.
• On January 28, 2026, Napster launched an iOS and Android app featuring AI-generated music, podcasts, wellness content, and AI artist collaboration.
• On February 12, 2026, Grab agreed to acquire AI-powered investing app Stash at a USD 425 million enterprise value.
• On March 4, 2026, TECNO and Arm unveiled on-device generative-AI technology for real-time mobile creative applications at MWC 2026.
• On May 21, 2026, Digital Turbine expanded its Google Cloud partnership to add AI-powered optimization and recommendations across its mobile platform.
• On May 19, 2026, Google updated the Gemini app with Gemini Omni, expanding multimodal AI-video capabilities for mobile users.
• On June 4, 2026, MWM and Google Cloud launched AI Mobile Squad, turning prompts into native iOS and Android apps in under 3 minutes.
• In 2026, MWM launched its AI mobile-app platform for a publisher with more than 1 billion downloads.

Global AI in Mobile Apps Market Growth

(Source: market.us)

• The global AI-in-mobile-apps market was valued at USD 28.13 billion in 2025 and USD 37.27 billion in 2026.
• The market is forecast to increase to USD 49.39 billion in 2027 and USD 65.44 billion in 2028.
• The market could grow further to USD 152.22 billion in 2031 and USD 201.69 billion in 2032.
• It is projected to reach USD 267.23 billion in 2033 and approximately USD 354.09 billion in 2034.
• The market is forecast to grow at a compound annual growth rate of 32.5% during the forecast period.
• Machine learning is expected to remain the largest technology segment, followed by natural language processing, computer vision, and other technologies.

AI Assistants’ Impact on Mobile App Usage

• Gartner forecast in January 2025 that mobile-app usage will decline by 25% by 2027 as AI assistants increasingly complete tasks for users.
• The forecast applies to tasks such as searching, shopping, and customer-service interactions that users may shift from apps to AI assistants.
• Gartner expects brands to redesign their digital channels so AI agents can access relevant content, services, and transaction options.
• The firm cited a 2024 survey of 359 U.S. consumers, conducted between February and March, to assess consumer attitudes toward generative AI.
• Gartner expects 50% of marketers to shift 50% or more of paid social budgets toward customer engagement and community-building strategies by 2028.
• Gartner noted that social-media ad spending was expected to exceed USD 247.30 billion globally in 2024, up 14.3% from USD 216.20 billion in 2023.
• By 2028, Gartner expects agents to collect and interpret data through automated interactions rather than through traditional apps and websites.

AI Tool Adoption in Software Development

• 84% of respondents use AI tools or plan to use them in software development, up from 76% last year.
• 47.1% of respondents use AI development tools every day.
• 17.7% use AI tools weekly, while 13.7% use them monthly or less often.
• 5.3% do not currently use AI tools but plan to start soon.
• 16.2% do not use AI development tools and have no plans to adopt them.
• Among professional developers, 51% use AI tools daily.

Top GenAI Consumer Mobile Apps by Downloads

• ChatGPT ranked 1st, recording approximately 770 million downloads worldwide during 2025.
• Google Gemini ranked 2nd, reaching approximately 354 million downloads worldwide during 2025.
• Cici ranked 3rd, generating approximately 150 million downloads worldwide during 2025.
• DeepSeek ranked 4th, recording approximately 118 million downloads worldwide during 2025.
• Grok ranked 5th, reaching approximately 72 million downloads worldwide during 2025.
• Perplexity ranked 6th, generating approximately 67 million downloads worldwide during 2025.
• PixVerse ranked 7th, recording approximately 55 million downloads worldwide during 2025.
• Microsoft Copilot ranked 8th, reaching approximately 51 million downloads worldwide during 2025.

AI’s Impact on Delivery Mobile Apps

• AI-enabled supply chains reduced logistics costs by 15%, inventory by 35%, and improved service levels by 65%.
• 52% of U.S. diners accept AI recommendations from restaurants or delivery apps based on prior orders.
• Only 15% of diners fully trust AI to prepare restaurant meals, limiting automation beyond app recommendations.
• Researchers reviewed 55 studies on AI-enabled food-ordering apps; publications reached 22 in 2024 and 12 during Q1 2025.
• AI logistics tools added 250 assets, expanded capacity by 50%, and optimized 1,000 lanes supporting 3,000 weekly loads.
• The AI-enabled fleet program generated more than USD 50 million in operational impact.
• An AI-supported digital twin identified opportunities to reduce distribution-center operating expenses by more than 10%.
• AI-based fulfillment planning reduced costs by over 10%, cut air freight 5%, and improved node utilization by approximately 20%.

AI’s Impact on Shopping Mobile Apps

• Amazon’s Rufus served over 300 million customers in 2025, contributing nearly USD 12 billion in annualized incremental sales.
• Amazon shoppers using Rufus were 60% more likely to complete purchases than nonusers.
• Rufus usage represented 40% of Amazon app sessions on Black Friday 2025, up 33% from November 1.
• AI-referred retail visits converted 42% better than non-AI traffic in March 2026.
• McKinsey found 71% of consumers expect personalization, while 76% become frustrated when businesses fail to provide it.
• Generative-AI personalized campaigns increased customer engagement and action by 10% compared with nonpersonalized content.
• Zara’s AI virtual try-on recorded over 7 million sessions across 43 markets by March 2026.
• SHEIN’s data-led retail model served approximately 273 million active customers across 160 markets in 2025.
• Gartner found 31% of U.S. consumers welcomed AI-assisted product selection, but autonomous purchasing acceptance reached only 11%.
• Gartner reported 53% of consumers distrusted the reliability and neutrality of AI-powered search and summaries.

AI-Powered Mobile App Use Cases Across Industries

• Healthcare: Smartphone AI detected skin lesions with 95% sensitivity and 78% specificity across 23,190 participants.
• Retail: AI personalization can increase revenue by 5%–15% and marketing return on investment by 10%–30%.
• Finance: Generative-AI banking apps can predict customer needs with approximately 90% accuracy.
• Education: Ethiopia’s AI learning app reached 200,000 learners, exceeded 100,000 downloads, and reported 43% female participation.
• Travel: 71% of passengers book digitally, while 53% prefer airline websites or mobile apps.
• Logistics: AI routing improved on-time delivery by 20% and recovered over 2 supervisor hours daily within 6 months.
• Agriculture: Hello Tractor digitized 3.5 million acres, increased production by 5 million metric tons, and created 6,000 jobs.
• Public health: WHO mobile programs reached nearly 4 million SMS users and more than 35 million chatbot users.

Impact of AI and ML in Mobile App Development

• More than 90% of surveyed software teams use AI, saving an average of 6 hours per week.
• Leading organizations improved productivity, time to market, and customer experience by 16%–30% using AI-enabled development.
• Leading organizations increased software quality by 31%–45% through AI-supported engineering workflows.
• AI high performers show a 15-percentage-point advantage over lower performers in software-development outcomes.
• High-performing teams are 6–7 times more likely to scale AI across at least 4 development use cases.
• Nearly two-thirds of leading companies deploy 4 or more AI use cases at scale, versus 10% of lower performers.
• More than 60% of tracked organizations report at least 25% productivity improvement from AI-assisted software development.
• Organizations with 80%–100% developer adoption recorded productivity gains exceeding 110%.
• AI coding tools helped developers complete approximately 26% more tasks in controlled studies.
• AI chatbot-app downloads increased by more than 112% year over year in 2024, expanding demand for AI mobile-app experiences.

Key Insights of AI App Revenue

• Generative-AI mobile apps generated more than USD 5 billion in global in-app purchase revenue during 2025, nearly tripling year over year.
• Generative-AI apps recorded nearly USD 1.9 billion in global in-app purchase revenue during H1 2025.
• North American generative-AI app revenue reached USD 762 million in H1 2025, increasing 74% from H2 2024.
• ChatGPT captured 63% of global generative-AI app revenue during H1 2025.
• Global generative-AI app revenue is projected to exceed USD 4 billion in H1 2026, rising 36% from H2 2025.
• ChatGPT generated more than USD 2.5 billion in global in-app purchase revenue during H1 2026.
• Apps featuring AI-related terms are projected to generate approximately USD 12 billion in global in-app purchase revenue in H1 2026.
• AI-related app revenue in H1 2026 is projected to increase 61% year over year.
• Global consumer spending on AI-first apps was projected to exceed USD 2 billion in 2025.

Conclusion

AI is changing mobile apps in shopping, delivery, finance, healthcare, and software development, leading to real gains in sales, engagement, and productivity. Apps built with generative AI are earning more money quickly, with ChatGPT leading the way, while stores and delivery apps see more people completing purchases and spending less on costs thanks to AI-based personalization.

Still, many people don’t fully trust AI recommendations or letting AI buy things on their own, and Gartner predicts that AI assistants could pull a lot of app usage away from regular apps. As more industries adopt AI, it’s becoming less of an extra advantage and more of a basic expectation.

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