모바일 앱 AI 시장 보고서(2025년)
Artificial Intelligence (AI) in Mobile Apps Global Market Report 2025
상품코드 : 1750912
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

모바일 앱 AI 시장 규모는 향후 수 년간 비약적인 성장이 예상됩니다. 보안에 대한 AI 활용의 확대, 사용자 행동 분석에 대한 관심 증가로 인한 것으로 예측됩니다.

개인화된 사용자 경험에 대한 수요가 증가함에 따라 향후 몇 년 동안 모바일 앱 AI 시장의 성장을 가속할 것으로 예측됩니다. 개인화된 사용자 경험은 개별 사용자의 선호도, 행동 또는 인구 통계에 따라 콘텐츠, 서비스 또는 상호작용을 조정하는 것을 의미합니다. 개인화된 사용자 경험의 대두는 풍부한 사용자 데이터에 의해 가져오고 참여 및 만족도를 높이는 맞춤형 컨텐츠를 가능하게 합니다. 맞춤형 컨텐츠, 제안 및 알림을 제공하여 개인화를 가속화합니다. 2024년 11월, 이스라엘에 본사를 둔 소프트웨어 회사인 Idomoo는 사용자 맞춤형 동영상에 대한 관심이 2023년 72%에서 2024년 77%로 증가했다고 보고했습니다.

모바일 앱 AI 시장의 주요 기업은 환자 참여를 향상시키고 개인화된 건강 모니터링 솔루션을 제공하기 위해 AI 기반 건강 관리 앱과 같은 고급 제품을 개발하는 데 주력하고 있습니다. AI 기반 헬스케어 앱은 인공지능을 활용하여 다양한 헬스케어 서비스를 제공하는 모바일 플랫폼입니다. 사용자 데이터나 의료 정보를 처리하는 것으로, 이러한 앱은 진단 정밀도를 높이고 헬스케어 체험을 합리화하는 것을 목표로 하고 있습니다. Cipla Limited는 조기 천식 스크리닝을 위해 설계된 CipAir 앱을 발표했습니다. 이 앱은 개인이 천식 발생 가능성을 평가할 수 있는 편리한 방법을 제공하며, 인도 전역에서 임상적으로 검증된 다중 센터 연구를 통해 지원됩니다. CipAir는 사용자가 초기 증상을 인식하고 적시에 의료 조언을 요구하는 힘을 제공하고 적극적인 질병 관리와 천식에 대한 인식 개선을 촉진합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 무역전쟁과 관세, 코로나와 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

SHW
영문 목차

영문목차

Artificial intelligence (AI) in mobile apps involves integrating AI technologies into mobile applications to provide more intelligent, personalized, and interactive user experiences. The primary goal is to enhance app functionality by automating processes, analyzing user behavior, enabling advanced features, and supporting smarter decision-making. This integration allows developers to create adaptive apps that are tailored to user needs, ultimately boosting engagement, performance, and user satisfaction.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The main types of AI technologies used in mobile apps are machine learning, natural language processing (NLP), and computer vision. Machine learning is a branch of AI that allows systems to learn and improve autonomously by analyzing large datasets, recognizing patterns, and refining accuracy over time. These technologies operate on various operating systems, such as Android and iOS, and are used in a wide range of applications, including chat automation, digital assistance, security, object detection, and personalization. AI is utilized in several types of mobile apps, including social media, communication and connectivity, information and utility, entertainment, productivity, photo and video capturing and editing, mobile wallets, e-commerce, travel and tourism, and health and wellness apps.

The artificial intelligence (AI) in mobile apps market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in mobile apps market statistics, including the artificial intelligence (AI) in mobile apps industry global market size, regional shares, competitors with the artificial intelligence (AI) in mobile apps market share, detailed artificial intelligence (AI) in mobile apps market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in mobile apps industry. This artificial intelligence (AI) in mobile apps market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial intelligence (AI) in mobile apps market size has grown exponentially in recent years. It will grow from$22.68 billion in 2024 to $30.76 billion in 2025 at a compound annual growth rate (CAGR) of 35.6%. The growth during the historic period can be attributed to the increasing penetration of smartphones, the rising demand for personalized user experiences, the rise of mobile cloud computing, the growing availability of big data, and the expanding integration of AI-powered virtual assistants.

The artificial intelligence (AI) in mobile apps market size is expected to see exponential growth in the next few years. It will grow to$103.29 billion in 2029 at a compound annual growth rate (CAGR) of 35.4%. The projected growth in the forecast period can be attributed to the growing adoption of 5G technology, increasing investments in AI startups, rising demand for real-time data processing, expanding use of AI for app security, and a heightened focus on user behavior analytics. Key trends expected during this period include advanced natural language processing capabilities, advancements in edge AI processing, innovations in AI-driven personalization, the integration of AI with augmented reality, and advanced predictive analytics for enhanced user engagement.

The increasing demand for personalized user experiences is expected to propel the growth of the artificial intelligence (AI) in mobile apps market in the coming years. Personalized user experiences refer to tailoring content, services, or interactions to individual user preferences, behaviors, or demographics. The rise of personalized experiences is driven by abundant user data, enabling customized content that enhances engagement and satisfaction. AI in mobile apps boosts personalization by analyzing user patterns to deliver tailored content, suggestions, and notifications. It adapts app features based on individual behavior, enhancing relevance, user engagement, and retention. For example, in November 2024, Idomoo, an Israel-based software company, reported a rise in interest for user-customizable videos from 72% in 2023 to 77% in 2024. As such, the growing demand for personalized user experiences is accelerating the growth of the AI in mobile apps market.

Key players in the AI in mobile apps market are focusing on developing advanced products such as AI-based healthcare apps to improve patient engagement and provide personalized health monitoring solutions. 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 apps aim to enhance diagnostic accuracy and streamline the healthcare experience. For instance, in December 2024, Cipla Limited, an India-based pharmaceutical company, launched the CipAir app, designed for early asthma screening. The app offers a convenient way for individuals to assess the likelihood of asthma and is supported by a clinically validated, multi-center study conducted across India. CipAir empowers users to recognize early symptoms and seek timely medical advice, promoting proactive disease management and better asthma awareness.

In August 2023, Google LLC, a US-based IT corporation, acquired Photomath for $550 million. This acquisition strengthens Google's position in the education technology (EdTech) space and enhances its suite of AI-powered tools. By integrating Photomath's advanced problem-solving and educational capabilities into its ecosystem, Google aims to provide more personalized and interactive learning experiences for users and students worldwide. Photomath, a US-based startup, offers an AI-based mobile app that assists users in solving math problems, further advancing the potential of AI in educational solutions.

Major players 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, and Luka Inc.

Asia-Pacific was the largest region in the artificial intelligence (AI) in mobile apps market in 2024. The regions covered in artificial intelligence (AI) in mobile apps report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence (AI) in mobile apps market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) in mobile apps market consists of revenues earned by entities by providing services such as speech recognition, predictive analytics, and recommendation systems. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in mobile apps market also includes sales of AI-optimized processors, graphics processing units (GPUs), and sensors. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) in Mobile Apps Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai) in mobile apps market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for artificial intelligence (ai) in mobile apps ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence (ai) in mobile apps market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI) in Mobile Apps Market Characteristics

3. Artificial Intelligence (AI) in Mobile Apps Market Trends And Strategies

4. Artificial Intelligence (AI) in Mobile Apps Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Artificial Intelligence (AI) in Mobile Apps Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence (AI) in Mobile Apps Market Segmentation

7. Artificial Intelligence (AI) in Mobile Apps Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence (AI) in Mobile Apps Market

9. China Artificial Intelligence (AI) in Mobile Apps Market

10. India Artificial Intelligence (AI) in Mobile Apps Market

11. Japan Artificial Intelligence (AI) in Mobile Apps Market

12. Australia Artificial Intelligence (AI) in Mobile Apps Market

13. Indonesia Artificial Intelligence (AI) in Mobile Apps Market

14. South Korea Artificial Intelligence (AI) in Mobile Apps Market

15. Western Europe Artificial Intelligence (AI) in Mobile Apps Market

16. UK Artificial Intelligence (AI) in Mobile Apps Market

17. Germany Artificial Intelligence (AI) in Mobile Apps Market

18. France Artificial Intelligence (AI) in Mobile Apps Market

19. Italy Artificial Intelligence (AI) in Mobile Apps Market

20. Spain Artificial Intelligence (AI) in Mobile Apps Market

21. Eastern Europe Artificial Intelligence (AI) in Mobile Apps Market

22. Russia Artificial Intelligence (AI) in Mobile Apps Market

23. North America Artificial Intelligence (AI) in Mobile Apps Market

24. USA Artificial Intelligence (AI) in Mobile Apps Market

25. Canada Artificial Intelligence (AI) in Mobile Apps Market

26. South America Artificial Intelligence (AI) in Mobile Apps Market

27. Brazil Artificial Intelligence (AI) in Mobile Apps Market

28. Middle East Artificial Intelligence (AI) in Mobile Apps Market

29. Africa Artificial Intelligence (AI) in Mobile Apps Market

30. Artificial Intelligence (AI) in Mobile Apps Market Competitive Landscape And Company Profiles

31. Artificial Intelligence (AI) in Mobile Apps Market Other Major And Innovative Companies

32. Global Artificial Intelligence (AI) in Mobile Apps Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI) in Mobile Apps Market

34. Recent Developments In The Artificial Intelligence (AI) in Mobile Apps Market

35. Artificial Intelligence (AI) in Mobile Apps Market High Potential Countries, Segments and Strategies

36. Appendix

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