Research Expert: Sarah Overall
  • Published: Aug 2025
  • Pages: 150
  • SKU: IRTNTR80932

  • Latest News- AI In Mobile Apps Market in APAC: NLP is expected to lead the Technology segment during 2025-2029

    The AI In Mobile Apps Market in APAC is being driven by Ubiquitous 5G connectivity and on-device AI processing power

    The AI In Mobile Apps Market in APAC is expected to grow at a CAGR of 26.3% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 23432.2 million. In the APAC region, where linguistic diversity is the norm, there is a significant transformation underway in mobile app development, fueled by the adoption of AI-driven multilingual interfaces. As mobile usage expands across this linguistically complex landscape, developers are harnessing the power of artificial intelligence to bridge communication gaps and deliver hyper-localized user experiences. Utilizing advanced technologies such as natural language processing (NLP), machine translation, and voice recognition, these AI-powered interfaces enable seamless interaction between users and apps in their native languages. This trend is especially influential in sectors like e-commerce, fintech, education, and healthcare, where accessibility and personalization are crucial to user engagement. From Mandarin and Hindi to Bahasa Indonesia and Tagalog, mobile apps are now capable of understanding, translating, and responding in a multitude of languages with remarkable accuracy. 

    Get more information on AI In Mobile Apps Market in APAC by requesting a sample report

    Which Factors Are Causing a Surge in Market Growth?

    The market is segmented based on

    • Technology
      • NLP
      • ML
      • Computer vision
      • Others
    • Application
      • Personalization
      • Chat automation
      • Digital assistance
      • Security
      • Others
    • OS
      • Android
      • iOS
    • End-user
      • Entertainment
      • Social media
      • Productivity
      • Health and wellness
      • Others
    • Geography
      • APAC
        • China
        • India
        • Japan
        • South Korea

    According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

    • Ubiquitous 5G connectivity and on-device AI processing power
    • Proliferation of generative AI for hyper-personalization and enhanced user engagement
    • Strategic government support and investment in national AI ecosystems

    However, the market also witnesses some limitations, which are as follows:

    • Navigating fragmented regulatory landscape and heightened data privacy concerns
    • Overcoming technical infrastructure disparities and digital divide
    • Addressing acute talent scarcity and imperative for ethical AI

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    Market Scope in AI In Mobile Apps Market in APAC Research Report

    Market Scope

    Report Coverage

    Details

    Page number

    231

    Base year

    2024

    Historic period

    2019-2023

    Forecast period

    2025-2029

    Growth momentum & CAGR

    Accelerate at a CAGR of 26.3%

    Market growth 2025-2029

    USD 23432.2 million

    Market structure

    fragmentation

    YoY growth 2024-2025(%)

    23.8

    Key countries

    China, Japan, India, South Korea, and Rest of APAC

    Competitive landscape

    Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks

    Find out which segment is leading the market by accessing the free PDF report

    Research Analysis Overview

    In the rapidly growing AI in Mobile Apps Market in APAC, developers are focusing on integrating advanced AI models using mobile AI frameworks for app development. Deploying AI models requires attention to app performance metrics and user engagement metrics, while addressing data privacy concerns and ethical AI considerations. Adequate AI bias mitigation, explainable AI models, and model interpretability are essential. Data security protocols, mobile data encryption, and API integration strategies are crucial for implementing SDKs. Cross-platform compatibility, scalable AI solutions, and cost optimization strategies are vital for infrastructure design. Training datasets, model accuracy, precision, and recall, false positive rates, latency optimization, power consumption, memory footprint, algorithm efficiency, model retraining, and continuous learning are key factors to consider for AI infrastructure design in mobile apps.

    Market Research Overview

    In the dynamic and expanding APAC mobile apps market, Artificial Intelligence (AI) and Machine Learning (ML) applications are gaining significant traction. These advanced technologies, including Deep Learning models, are driving innovation in various industries, from healthcare and finance to retail and transportation. Technavio's market analysis calculates the size of the IT software market in APAC based on the consolidated revenue of companies specializing in mobile app AI development and production. This encompasses both enterprise and consumer-focused applications, as well as cloud-based solutions. It is essential to note that this assessment excludes companies providing interactive home entertainment software and those producing database management software or systems software.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.


    Contacts

    Technavio Research
    Jesse Maida
    Media & Marketing Executive
    US: +1 844 364 1100
    UK: +44 203 893 3200
    Email: media@technavio.com
    Website: www.technavio.com/

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