Backed by market attractiveness analysis, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, wider supply chain intelligence, emerging startup coverage, and detailed product-level insights, The Business Research Company’s 2026 market reports are designed to offer research that is more actionable and strategically valuable than ever.
#Artificial Intelligence (AI) in Mobile Apps Market Forecast: What Value Will The Market Reach By 2030?#_x000D_
The artificial intelligence (AI) in mobile apps market size has experienced significant expansion recently. This market is projected to grow from $30.56 billion in 2025 to $41.33 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 35.2%. Its past growth was primarily driven by increasing smartphone penetration, the expansion of the app store ecosystem, a rising demand for personalization, the early integration of machine learning, and the widespread adoption of mobile data analytics._x000D_
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The artificial intelligence (AI) in mobile apps market is projected to undergo significant expansion in the coming years. This market is expected to achieve a value of $135.54 billion by 2030, showing a compound annual growth rate (CAGR) of 34.6%. This growth during the forecast period is attributed to advancements in on-device AI, the proliferation of AI-powered assistants, the rise of mobile commerce applications, an increasing focus on app engagement, and improvements in mobile privacy controls. Prominent trends for the forecast period include customized app experiences, AI-driven voice and chat interfaces, context-aware mobile applications, real-time behavioral analytics, and AI-based mobile security features._x000D_
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#Artificial Intelligence (AI) in Mobile Apps Market Growth Momentum: What Factors Are Shaping Demand?#_x000D_
The growing need for personalized user experiences is expected to accelerate the expansion of artificial intelligence (AI) in mobile apps market in the coming period. Personalized user experiences involve customizing content, services, or interactions to align with an individual user’s preferences, behaviors, or demographics. The surge in personalized user experiences is fueled by the availability of abundant user data, which facilitates the creation of tailored content, boosting both engagement and satisfaction. AI in mobile apps significantly enhances personalization by analyzing user patterns to deliver customized content, suggestions, and notifications. It dynamically adjusts app features based on individual behavior, thereby improving relevance, user engagement, and retention. For instance, in November 2024, Idomoo, an Israel-based software company, stated that interest in user-customizable video was 72% in 2023, increasing to 77% in 2024. Hence, the escalating demand for personalized user experiences is a key driver for the growth of artificial intelligence (AI) in mobile apps market._x000D_
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#Artificial Intelligence (AI) in Mobile Apps Market Segment Analysis And Revenue Potential#_x000D_
The artificial intelligence (AI) in mobile apps market covered in this report is segmented – _x000D_
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1) By Technology: Machine Learning, Natural Language Processing (NLP), Computer Vision_x000D_
2) By Operating System: Android, iPhone Operating System (iOS)_x000D_
3) By Application: Chat Automation, Digital Assistance, Security, Object Detection, Personalization_x000D_
4) By End-Use Apps: Social Media, Communication And Connectivity, Information And Utility, Entertainment, Productivity, Photo And Video Capturing And Editing Apps, Mobile Wallets, E-Commerce Shopping Apps, Travel And Tourism Apps, Health And Wellness Apps_x000D_
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Subsegments:_x000D_
1) By Machine Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning_x000D_
2) By Natural Language Processing (NLP): Speech Recognition, Text Analysis, Sentiment Analysis, Machine Translation, Chatbots And Virtual Assistants_x000D_
3) By Computer Vision: Image Recognition, Object Detection, Facial Recognition, Gesture Recognition, Optical Character Recognition (OCR)_x000D_
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#Artificial Intelligence (AI) in Mobile Apps Market Trends Redefining Industry Growth#_x000D_
Leading companies operating in the artificial intelligence (AI) in mobile apps market are concentrating on developing sophisticated products, such as AI-based healthcare applications, to boost patient engagement and deliver personalized health monitoring solutions. These AI-based healthcare apps are mobile platforms that leverage artificial intelligence to offer a range of healthcare services. By processing user data and medical information, these applications strive to enhance diagnostic accuracy and streamline the overall healthcare experience. For instance, in December 2024, Cipla Limited, an India-based pharmaceutical company, introduced CipAir, a mobile app aimed at early asthma screening. The application provides a convenient and accessible method for individuals to assess the likelihood of having asthma, with its effectiveness substantiated by a clinically validated, multi-center study conducted across India. CipAir empowers users to recognize initial symptoms and seek prompt medical advice, supporting improved asthma awareness and proactive disease management._x000D_
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#Artificial Intelligence (AI) in Mobile Apps Market Key Players Shaping Industry Direction#_x000D_
Major companies operating in the artificial intelligence (AI) in mobile apps market are Amazon.com Inc., Apple Inc., Google LLC, Samsung Electronics Co. Ltd., Microsoft Corporation, Meta Platforms Inc., Huawei Technologies Co. Ltd., Intel Corporation, International Business Machines Corporation (IBM), Qualcomm Incorporated, NVIDIA Corporation, Adobe Inc., MediaTek Inc., Snap Inc., OpenAI Inc., Grammarly Inc., BrainCo Inc., BigML Inc., Photoroom SAS, Luka Inc. _x000D_
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#Artificial Intelligence (AI) in Mobile Apps Market Geographic Spread And Regional Opportunities#_x000D_
Asia-Pacific was the largest region in the artificial intelligence (AI) in mobile apps market in 2025. The regions covered in the artificial intelligence (AI) in mobile apps market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa._x000D_
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
