(MENAFN- GlobeNewsWire - Nasdaq) The AI in Mobile Apps market is poised for growth, driven by advancements in AI processing, NLP, and CV technologies. Key opportunities include the integration with AR, IoT, and personalization in various sectors. Asia-Pacific leads with rapid 5G and smartphone adoption. Challenges include compliance and talent shortages.

Dublin, Sept. 25, 2025 (GLOBE NEWSWIRE) -- The "Artificial Intelligence (AI) in Mobile Apps Market - A Global Market Overview" report has been added to ResearchAndMarkets's offering.
Valued at US$27.7 billion in 2025, the market is projected to exceed US$322 billion by 2034, registering a CAGR of over 31% during 2025-2034.

This global report on Network Access Control (NAC) Hardware market analyzes the global and regional market based on Product Type, Deployment Type, Company Type and Industry Sector for the period 2022-2032 with forecasts from 2025 to 2032 in terms of value in US$. In addition to providing profiles of major companies operating in this space, the latest corporate and industrial developments have been covered to offer a clear panorama of how and where the market is progressing.

The Artificial Intelligence (AI) in Mobile Apps market is entering a transformative growth phase, driven by rapid advancements in on-device AI processing, real-time inference, and increasingly sophisticated AI frameworks. Key growth catalysts include the widespread integration of AI-optimized chipsets such as Qualcomm's Snapdragon series and Apple's Neural Engine, adoption of transformer-based NLP and multimodal AI models, and the convergence of AI with Augmented Reality (AR) and Internet of Things (IoT) applications.
Market expansion is further fueled by rising enterprise and consumer demand for hyper-personalized, context-aware experiences across entertainment, e-commerce, healthcare, and productivity verticals. However, growth also brings challenges: regulatory compliance, data privacy concerns, and the shortage of AI development talent will require strategic adaptation. Companies that successfully integrate robust, privacy-first AI while ensuring compliance are poised to capture outsized market share in the decade ahead.
Key companies shaping the competitive landscape include Google, Apple, Microsoft, Amazon Web Services (AWS), Qualcomm, NVIDIA, Meta, MediaTek, IBM, Samsung Electronics, ByteDance, and Adobe, alongside specialized players such as Clarifai and SoundHound. These firms are driving innovation through hardware acceleration, pre-trained AI models, and developer ecosystems.
Artificial Intelligence (AI) in Mobile Apps Regional Market Analysis
In 2025, Asia-Pacific leads the AI in Mobile Apps market accounting for 50.1% of total sales. This leadership is driven by widespread smartphone penetration, rapid 5G adoption, and strong uptake of AI-capable devices in China, India, and other emerging economies. North America holds the second-largest share, supported by a mature developer ecosystem, premium AI app monetization, and high investment in R&D. Asia-Pacific will also post the fastest growth during 2025-2034, with a CAGR of 34.8% billion by the end of the forecast period, fueled by leadership in AI+IoT and AI+AR integration. South America follows as the second fastest-growing region, supported by increasing connectivity, affordable smartphones, and AI-driven growth in fintech, retail, and health apps.
Artificial Intelligence (AI) in Mobile Apps Market Analysis by Component
Hardware is the largest revenue contributor in 2025, led by demand for AI-optimized chipsets and neural processing units enabling efficient on-device inference. Software ranks second, propelled by adoption of transformer-based NLP, computer vision, and predictive analytics frameworks. Over the forecast period, software will record the fastest CAGR, reaching US$125.5 billion by 2034 as developers increasingly adopt cross-platform AI SDKs, low-code pipelines, and embedded generative AI features.
Artificial Intelligence (AI) in Mobile Apps Market Analysis by Technology Node
In 2025, 10 nm technology nodes account for the largest revenue share. Their dominance stems from widespread integration in AI-optimized mobile processors that balance performance and energy efficiency for on-device inference. The 20-28 nm segment follows, catering to cost-sensitive mid-range devices and emerging market adoption. Over the forecast period, 10 nm will also be the fastest-growing node, registering a CAGR of 34.3% from 2025 to 2034 and reaching nearly US$170 billion, supported by advancements in AI acceleration for NLP, computer vision, and multimodal applications. The 7 nm segment will expand at a robust CAGR, driven by premium device adoption and performance-intensive AI workloads.
Artificial Intelligence (AI) in Mobile Apps Market Analysis by Technology Type
In 2025, Natural Language Processing (NLP) holds the largest share at US$11.4 billion, representing 41.3% of the market. Its dominance is driven by widespread adoption in chatbots, voice assistants, real-time translation, and personalized content delivery in entertainment, e-commerce, and productivity apps. Machine Learning (ML) follows with 32.5% share (US$9 billion), underpinned by recommendation systems, predictive analytics, and adaptive user interfaces across industries.

Over the forecast period, Computer Vision (CV) will emerge as the fastest-growing technology type, recording a CAGR of 36.1% from 2025 to 2034 to exceed US$48.8 billion, propelled by integration in AR-enhanced retail, biometric security, visual search, and health diagnostics. NLP will maintain strong growth at a 32.8% CAGR, driven by advances in transformer-based models and on-device language processing, while ML will grow at 29.8% CAGR, benefiting from its versatility across multiple verticals and its role in supporting multimodal AI solutions.
Artificial Intelligence (AI) in Mobile Apps Market Analysis by Application
Smartphones generate the highest revenues in 2025, driven by their ubiquity as the primary platform for AI-powered personalization, voice assistants, and multimedia enhancements. Automotive applications rank second, supported by the rise of AI-enabled driver assistance, in-vehicle voice control, and navigation systems. Over the forecast period, AR/VR will be the fastest-growing application area, registering a CAGR of 38.1% from 2025 to 2034, fueled by immersive AI-driven experiences in gaming, retail virtual try-ons, and industrial training. Automotive will follow closely, reaching about US$58.7 billion by 2034, propelled by advancements in autonomous driving, predictive maintenance, and personalized in-cabin experiences.
Artificial Intelligence (AI) in Mobile Apps Market Analysis by End-Use
In 2025, entertainment dominates, propelled by AI-enhanced content curation, personalized recommendations, and immersive multimedia experiences in gaming, streaming, and social platforms. Productivity applications follow, driven by AI-powered collaboration tools, workflow automation, and document intelligence in mobile environments. Over the forecast period, health and wellness will be the fastest-growing end-use, posting a CAGR of 36% from 2025 to 2034 to reach US$4.4 billion, underpinned by rising demand for personalized health monitoring, predictive analytics in wellness, and AI-powered virtual coaching.

Key Attributes:

Report Attribute	Details
No. of Pages	568
Forecast Period	2025 - 2034
Estimated Market Value (USD) in 2025	$27.7 Billion
Forecasted Market Value (USD) by 2034	$322 Billion
Compound Annual Growth Rate	31.4%
Regions Covered	Global

Artificial Intelligence (AI) in Mobile Apps Market Report Scope

Industry Landscape

• Global Artificial Intelligence (AI) in Mobile Apps Market Outlook
• Comprehensive Artificial Intelligence (AI) in Mobile Apps Industry Analysis - Growth Drivers and Inhibitors
• Market Entry Strategies for Artificial Intelligence (AI) in Mobile Apps Industry
• Startup Strategies for Artificial Intelligence (AI) in Mobile Apps Industry
• SWOT Analysis of Artificial Intelligence (AI) in Mobile Apps Industry
• Porter's Five Forces Analysis
• PESTEL Analysis

Key Metrics

• Base Year: 2025
• Forecast Period: 2025-2034
• Units: Value market in US$
• Companies Mentioned: 15+

Competitive Landscape

• Market Positioning of Key Artificial Intelligence (AI) in Mobile Apps Companies
• Market Share Analysis of Artificial Intelligence (AI) in Mobile Apps Companies
• SWOT Analysis of Key Players in the Artificial Intelligence (AI) in Mobile Apps Industry

Key Market Players

• Adobe
• Amazon Web Services (AWS)
• Apple
• ByteDance
• Cerebras Systems
• Clarifai
• Google
• H2O
• IBM
• MediaTek
• Meta (Facebook)
• Microsoft
• NVIDIA
• Qualcomm
• Samsung Electronics
• Snap Inc.
• SoundHound
• Spotify
• Zoom

Artificial Intelligence (AI) in Mobile Apps Market by Geographic Region

• North America (The United States, Canada and Mexico)
• Europe (Germany, the United Kingdom, France, Italy, the Netherlands, Spain, Russia, Switzerland and Rest of Europe)
• Asia-Pacific (China, Japan, India, Australia, Singapore, South Korea and Rest of Asia-Pacific)
• South America (Brazil, Argentina, Colombia, Chile, Peru and Rest of South America)
• Middle East & Africa (the United Arab Emirates, South Africa, Egypt, Saudi Arabia, Morocco, Kuwait, Qatar and Rest of Middle East & Africa)

Artificial Intelligence (AI) in Mobile Apps Market by Component

• Hardware
• Software
• Services

Artificial Intelligence (AI) in Mobile Apps Market by Technology Node

• 10 nm
• 20-28 nm
• 7 nm
• Other Technology Nodes

Artificial Intelligence (AI) in Mobile Apps Market by Technology Type

• Natural Language Processing (NLP)
• Machine Learning (ML)
• Computer Vision (CV)
• Other Technology Types

Artificial Intelligence (AI) in Mobile Apps Market by Application

• Smartphones
• Automotive
• Cameras
• AR/VR
• Drones
• Robotics
• Other Applications

Artificial Intelligence (AI) in Mobile Apps Market by End-Use

• Entertainment
• Productivity
• Photo & Video Apps
• Social Media, Communication & Connectivity
• E-commerce Shopping Apps
• Information & Utility
• Health & Wellness Apps
• Mobile Wallets
• Travel & Tourism Apps
• Other End-Uses

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