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市場調查報告書
商品編碼
1750912

2025年行動應用人工智慧(AI)全球市場報告

Artificial Intelligence (AI) in Mobile Apps Global Market Report 2025

出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

預計未來幾年,行動應用人工智慧 (AI) 市場規模將呈指數級成長。到 2029 年,該市場規模將成長到 1,032.9 億美元,年複合成長率(CAGR)為 35.4%。預測期內的成長可以歸因於 5G 技術的日益普及、對 AI新興企業的投資不斷增加、對即時數據處理的需求不斷成長、AI 在應用安全中的應用日益普及以及對用戶行為分析的日益關注。預計在此期間的主要趨勢包括先進的自然語言處理能力、邊緣 AI 處理的進步、AI主導的個人化創新、擴增實境與 AI 的整合以及用於增強用戶參與度的高級預測分析。

個人化用戶體驗需求的不斷成長預計將推動未來幾年行動應用市場人工智慧 (AI) 的成長。個人化使用者體驗是指根據個人使用者的偏好、行為和屬性自訂內容、服務和互動。個人化用戶體驗的興起是由豐富的用戶數據驅動的,它可以實現客製化內容,從而提高參與度和滿意度。行動應用中的人工智慧透過分析用戶模式並提供客製化內容、提案和通知來推動個人化。它根據個人行為調整應用程式功能,以提高相關性、用戶參與度和保留率。例如,以色列軟體公司 Idomoo 在 2024 年 11 月報告稱,對用戶可自訂影片的興趣從 2023 年的 72% 上升到 2024 年的 77%。因此,個人化使用者體驗需求的不斷成長正在加速行動應用市場人工智慧的成長。

行動應用市場人工智慧的關鍵參與者正專注於開發先進產品,例如基於人工智慧的醫療保健應用程式,以提高病人參與並提供個人化的健康監測解決方案。基於人工智慧的醫療保健應用程式是利用人工智慧提供各種醫療保健服務的行動平台。透過處理用戶資料和醫療訊息,這些應用程式旨在提高診斷準確性並簡化醫療保健體驗。例如,2024 年 12 月,印度製藥公司 Cipla Limited 推出了用於早期氣喘篩檢的CipAir 應用程式。該應用程式為個人提供了一種評估氣喘可能性的便捷方式,並得到了在印度各地進行的經過臨床檢驗的多中心研究的支持。 CipAir 使用戶能夠識別早期症狀並及時尋求醫療建議,促進主動疾病管理和提高對氣喘的認知。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場 - 宏觀經濟情景,包括利率、通膨、地緣政治、貿易戰和關稅,以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 行動應用中的人工智慧(AI)全球PESTEL分析(政治、社會、技術、環境、法律因素、促進因素和限制因素)
  • 最終用途產業分析
  • 全球行動應用人工智慧(AI)市場:成長率分析
  • 全球行動應用人工智慧 (AI) 市場表現:規模與成長,2019-2024 年
  • 全球行動應用人工智慧 (AI) 市場預測:規模與成長,2024-2029 年,2034 年
  • 全球行動應用人工智慧(AI)總目標市場(TAM)

第6章市場區隔

  • 全球行動應用人工智慧 (AI) 市場技術、表現及預測(2019-2024 年、2024-2029 年及 2034 年)
  • 機器學習
  • 自然語言處理(NLP)
  • 電腦視覺
  • 全球行動應用人工智慧 (AI) 市場(按作業系統分類)現狀及預測(2019-2024 年、2024-2029 年及 2034 年)
  • Android
  • iPhone作業系統(iOS)
  • 全球行動應用人工智慧 (AI) 市場的應用、效能及預測(2019-2024 年、2024-2029 年及 2034 年)
  • 聊天自動化
  • 數位援助
  • 安全功能
  • 物體偵測
  • 個人化
  • 全球行動應用人工智慧 (AI) 市場(按最終用戶應用、效能和預測),2019-2024 年、2024-2029 年、2034 年
  • 社群媒體、通訊和連接
  • 資訊和實用性
  • 娛樂
  • 生產力
  • 照片和影片捕捉和編輯應用程式
  • 行動錢包
  • 電子商務購物應用
  • 旅行和旅遊應用程式
  • 健康與保健應用程式
  • 全球人工智慧 (AI) 市場(行動應用、機器學習、按類型細分):實際值和預測值,2019-2024 年、2024-2029 年、2034 年
  • 監督學習
  • 無監督學習
  • 強化學習
  • 深度學習
  • 全球行動應用人工智慧 (AI) 市場、自然語言處理 (NLP) 市場、按類型細分:績效及預測,2019-2024 年、2024-2029 年、2034 年
  • 語音辨識
  • 文字分析
  • 情緒分析
  • 機器翻譯
  • 聊天機器人和虛擬助手
  • 全球人工智慧 (AI) 市場(行動應用、電腦視覺、按類型細分):實際及預測,2019-2024 年、2024-2029 年、2034 年
  • 影像識別
  • 物體偵測
  • 臉部辨識
  • 手勢姿態辨識
  • 光學字元辨識 (OCR)

第7章 區域和國家分析

  • 全球行動應用人工智慧 (AI) 市場:按地區、表現及預測,2019-2024 年、2024-2029 年、2034 年
  • 全球行動應用人工智慧 (AI) 市場:按國家/地區、表現及預測,2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章:中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章:義大利市場

第20章:西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章:加拿大市場

第26章 南美洲市場

第27章:巴西市場

第28章 中東市場

第29章:非洲市場

第30章競爭格局與公司概況

  • 行動應用中的人工智慧 (AI):競爭格局
  • 行動應用市場中的人工智慧(AI):公司簡介
    • Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型創新企業

  • 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.

第 32 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

  • 2029年行動應用市場中的人工智慧(AI):哪些國家將提供新機會
  • 2029年行動應用市場中的人工智慧(AI):細分領域帶來新機會
  • 2029年行動應用市場中的人工智慧(AI):成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第36章 附錄

簡介目錄
Product Code: r34765

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.

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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 market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

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.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Technology: Machine Learning; Natural Language Processing (NLP); Computer Vision
  • 2) By Operating System: Android; iPhone Operating System (iOS)
  • 3) By Application: Chat Automation; Digital Assistance; Security; Object Detection; Personalization
  • 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
  • Subsegments:
  • 1) By Machine Learning: Supervised Learning; Unsupervised Learning; Reinforcement Learning; Deep Learning
  • 2) By Natural Language Processing (NLP): Speech Recognition; Text Analysis; Sentiment Analysis; Machine Translation; Chatbots And Virtual Assistants
  • 3) By Computer Vision: Image Recognition; Object Detection; Facial Recognition; Gesture Recognition; Optical Character Recognition (OCR)
  • Companies Mentioned: Amazon.com Inc.; Apple Inc.; Google LLC; Samsung Electronics Co. Ltd.; Microsoft Corporation
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

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

  • 5.1. Global Artificial Intelligence (AI) in Mobile Apps PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Artificial Intelligence (AI) in Mobile Apps Market Growth Rate Analysis
  • 5.4. Global Artificial Intelligence (AI) in Mobile Apps Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Artificial Intelligence (AI) in Mobile Apps Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Artificial Intelligence (AI) in Mobile Apps Total Addressable Market (TAM)

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

  • 6.1. Global Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • 6.2. Global Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Android
  • iPhone Operating System (iOS)
  • 6.3. Global Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Chat Automation
  • Digital Assistance
  • Security
  • Object Detection
  • Personalization
  • 6.4. Global Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By End-Use Apps, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 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
  • 6.5. Global Artificial Intelligence (AI) in Mobile Apps Market, Sub-Segmentation Of Machine Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Deep Learning
  • 6.6. Global Artificial Intelligence (AI) in Mobile Apps Market, Sub-Segmentation Of Natural Language Processing (NLP), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Speech Recognition
  • Text Analysis
  • Sentiment Analysis
  • Machine Translation
  • Chatbots And Virtual Assistants
  • 6.7. Global Artificial Intelligence (AI) in Mobile Apps Market, Sub-Segmentation Of Computer Vision, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Image Recognition
  • Object Detection
  • Facial Recognition
  • Gesture Recognition
  • Optical Character Recognition (OCR)

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

  • 7.1. Global Artificial Intelligence (AI) in Mobile Apps Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Artificial Intelligence (AI) in Mobile Apps Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 8.1. Asia-Pacific Artificial Intelligence (AI) in Mobile Apps Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 9.1. China Artificial Intelligence (AI) in Mobile Apps Market Overview
  • 9.2. China Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

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

  • 10.1. India Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 11.1. Japan Artificial Intelligence (AI) in Mobile Apps Market Overview
  • 11.2. Japan Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 12.1. Australia Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 13.1. Indonesia Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 14.1. South Korea Artificial Intelligence (AI) in Mobile Apps Market Overview
  • 14.2. South Korea Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 15.1. Western Europe Artificial Intelligence (AI) in Mobile Apps Market Overview
  • 15.2. Western Europe Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 16.1. UK Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 17.1. Germany Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 18.1. France Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 19.1. Italy Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 20.1. Spain Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 21.1. Eastern Europe Artificial Intelligence (AI) in Mobile Apps Market Overview
  • 21.2. Eastern Europe Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 22.1. Russia Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 23.1. North America Artificial Intelligence (AI) in Mobile Apps Market Overview
  • 23.2. North America Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 24.1. USA Artificial Intelligence (AI) in Mobile Apps Market Overview
  • 24.2. USA Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 25.1. Canada Artificial Intelligence (AI) in Mobile Apps Market Overview
  • 25.2. Canada Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 26.1. South America Artificial Intelligence (AI) in Mobile Apps Market Overview
  • 26.2. South America Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 27.1. Brazil Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 28.1. Middle East Artificial Intelligence (AI) in Mobile Apps Market Overview
  • 28.2. Middle East Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 29.1. Africa Artificial Intelligence (AI) in Mobile Apps Market Overview
  • 29.2. Africa Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Operating System, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence (AI) in Mobile Apps Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 30.1. Artificial Intelligence (AI) in Mobile Apps Market Competitive Landscape
  • 30.2. Artificial Intelligence (AI) in Mobile Apps Market Company Profiles
    • 30.2.1. Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis

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

  • 31.1. Meta Platforms Inc.
  • 31.2. Huawei Technologies Co. Ltd.
  • 31.3. Intel Corporation
  • 31.4. International Business Machines Corporation (IBM)
  • 31.5. Qualcomm Incorporated
  • 31.6. NVIDIA Corporation
  • 31.7. Adobe Inc.
  • 31.8. MediaTek Inc.
  • 31.9. Snap Inc.
  • 31.10. OpenAI Inc.
  • 31.11. Grammarly Inc.
  • 31.12. BrainCo Inc.
  • 31.13. BigML Inc.
  • 31.14. Photoroom SAS
  • 31.15. Luka Inc.

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

  • 35.1 Artificial Intelligence (AI) in Mobile Apps Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence (AI) in Mobile Apps Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence (AI) in Mobile Apps Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer
  • 250617_r34765_Artificial_Intelligence_AI_in_Mobile_Apps_GMR_2025