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세계의 지능형 앱 시장 규모, 점유율, 성장 분석, 유형별, 프로바이더별, 서비스별, 스토어 유형별, 전개 모드별, 업종별, 지역별 - 산업 예측(2025-2032년)
Intelligent App Market Size, Share, and Growth Analysis, By Type, By Providers, By Services, By Store Type, By Deployment Mode, By Vertical, By Region - Industry Forecast 2025-2032
상품코드 : 1737041
리서치사 : SkyQuest
발행일 : 2025년 05월
페이지 정보 : 영문 157 Pages
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한글목차

지능형 앱 세계 시장 규모는 2023년 309억 달러, 2024년 407억 6,000만 달러에서 2032년에는 3,733억 9,000만 달러로 성장하고, 예측 기간(2025년-2032년) CAGR은 31.9%를 보일 것으로 예측됩니다.

지능형 앱에 대한 수요가 급증하는 이유는 과거 및 실시간 사용자 데이터를 활용하여 개인화된 적응형 경험을 제공하기 때문입니다. 인공지능(A.I.)과 머신러닝(M.L.)을 활용한 이러한 용도는 다양한 작업을 강화하는 데 필수적이며, 소비자뿐만 아니라 기업에서도 선호하고 있습니다. 예를 들어, 챗봇, 가상 비서, 전자상거래 플랫폼의 추천 엔진 등을 들 수 있습니다. 스마트폰 사용 증가와 더불어 맥락에 맞는 경험에 대한 소비자의 기대치가 높아짐에 따라 비즈니스 모빌리티 강화의 필요성이 더욱 커지고 있습니다. 또한, 빠른 응답시간과 실시간 의사결정을 가능하게 하는 지능형 앱의 인기도 시장 확대에 긍정적으로 기여하고 있습니다. 그러나 인공지능 솔루션과 관련된 높은 비용과 고객 데이터 보안에 대한 우려는 시장의 지속적인 성장에 걸림돌이 될 수 있습니다.

목차

서론

조사 방법

주요 요약

시장 역학과 전망

주요 시장 인사이트

지능형 앱 시장 규모 : 유형별&CAGR(2025-2032)

지능형 앱 시장 규모 : 프로바이더별&CAGR(2025-2032)

지능형 앱 시장 규모 : 서비스별&CAGR(2025-2032)

지능형 앱 시장 규모 : 스토어 유형별&CAGR(2025-2032)

지능형 앱 시장 규모 : 전개 모드별&CAGR(2025-2032)

지능형 앱 시장 규모 : 업종별&CAGR(2025-2032)

지능형 앱 시장 규모 : 지역별&CAGR(2025-2032)

경쟁 정보

주요 기업 개요

결론과 제안

LSH
영문 목차

영문목차

Global Intelligent App Market size was valued at USD 30.9 billion in 2023 and is poised to grow from USD 40.76 billion in 2024 to USD 373.39 billion by 2032, growing at a CAGR of 31.9% during the forecast period (2025-2032).

The demand for intelligent apps is surging as they deliver personalized and adaptive experiences through leveraging historical and real-time user data. Utilizing Artificial Intelligence (A.I.) and Machine Learning (M.L.), these applications are essential for enhancing various tasks and are favored by consumers and businesses alike. Examples include chatbots, virtual assistants, and recommendation engines on e-commerce platforms. The growth in smartphone usage, along with heightened consumer expectations for contextualized experiences, drives the need for enhanced business mobility. Additionally, the popularity of intelligent apps for quicker response times and real-time decision-making contributes positively to market expansion. However, high costs associated with A.I. solutions and concerns regarding customer data security may pose challenges to sustained market growth.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Intelligent App market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Intelligent App Market Segments Analysis

Global Intelligent App Market is segmented by Type, Providers, Services, Store Type, Deployment Mode, Vertical and region. Based on Type, the market is segmented into Consumer Apps and Enterprise Apps. Based on Providers, the market is segmented into Infrastructure, Data Collection & Preparation and Machine Intelligence. Based on Services, the market is segmented into Professional Services and Managed Services. Based on Store Type, the market is segmented into Google Play, Apple App Store and Others. Based on Deployment Mode, the market is segmented into Cloud and On-Premises. Based on Vertical, the market is segmented into BFSI, Telecom, Retail & eCommerce, Healthcare & Life Sciences, Education, Media & Entertainment, Travel & Hospitality and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Intelligent App Market

The Global Intelligent App market is being propelled by a growing preference for artificial intelligence and machine learning innovations within smartphones. As consumers increasingly seek advanced, interactive experiences, manufacturing companies are responding by enhancing their products to align with these heightened expectations. This shift towards more customizable and engaging user interfaces is fueling demand for intelligent applications, thus driving market growth throughout the forecast period. As technology continues to evolve, developers are prioritizing user-centric designs that leverage AI and ML capabilities, making intelligent apps more appealing and accessible to a wider audience.

Restraints in the Global Intelligent App Market

A significant constraint on the Global Intelligent App market stems from consumers' limited awareness regarding the available products and managed services. This lack of understanding is expected to hinder market growth, potentially leading to unfavorable revenue outcomes for both small and large enterprises. As businesses struggle to convey the benefits and functionalities of intelligent applications to their target audience, the gap in consumer knowledge may result in diminished adoption rates, ultimately impacting overall market performance. To overcome these challenges, companies must prioritize consumer education and awareness efforts to foster greater engagement and drive revenue growth in this emerging sector.

Market Trends of the Global Intelligent App Market

The Global Intelligent App market is witnessing significant growth as broadcast and media companies strive to enhance content accessibility and engagement, particularly in light of the rising demand for Over-the-Top (OTT) services. With the exponential increase in content consumption, manual tagging of vast data volumes has become untenable, propelling the need for advanced intelligent applications. These applications not only automate content curation but also deliver personalized, value-added experiences to users. As companies invest in AI-driven solutions to streamline operations and meet consumer expectations, the market is poised for robust expansion, reshaping how digital content is created, distributed, and consumed.

Table of Contents

Introduction

Research Methodology

Executive Summary

Market Dynamics & Outlook

Key Market Insights

Global Intelligent App Market Size by Type & CAGR (2025-2032)

Global Intelligent App Market Size by Providers & CAGR (2025-2032)

Global Intelligent App Market Size by Services & CAGR (2025-2032)

Global Intelligent App Market Size by Store Type & CAGR (2025-2032)

Global Intelligent App Market Size by Deployment Mode & CAGR (2025-2032)

Global Intelligent App Market Size by Vertical & CAGR (2025-2032)

Global Intelligent App Market Size & CAGR (2025-2032)

Competitive Intelligence

Key Company Profiles

Conclusion & Recommendations

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