모바일 앱 및 웹 분석 시장 규모는 2024년에 105억 4,000만 달러로 평가되었습니다. 2030년까지 연평균 복합 성장률(CAGR)은 14.39%로, 2030년에는 236억 1,000만 달러에 이를 것으로 예측됩니다.
모바일 앱 및 웹 분석 세계 시장은 모바일 애플리케이션 및 웹 사이트와 상호 작용하는 사용자가 생성한 데이터를 수집, 측정, 분석하는 도구 및 플랫폼에 초점을 맞춘 산업을 말합니다. 이러한 분석 플랫폼은 사용자 행동, 참여 패턴, 전환율 및 기타 중요한 성과 지표를 추적하여 비즈니스에 실질적인 통찰력을 제공합니다. 사용자가 앱과 웹사이트를 탐색하는 방식을 이해함으로써 기업은 디자인을 최적화하고, 기능을 개선하고, 개인화된 경험을 제공함으로써 유지율과 수익을 높일 수 있습니다. 분석 솔루션에는 일반적으로 실시간 보고, 이벤트 추적, 사용자 세분화, 마케팅 및 고객 관계 관리 도구와의 통합이 포함됩니다.
| 시장 개요 | |
|---|---|
| 예측 기간 | 2026-2030년 |
| 시장 규모 : 2024년 | 105억 4,000만 달러 |
| 시장 규모 : 2030년 | 236억 1,000만 달러 |
| CAGR : 2025-2030년 | 14.39% |
| 급성장 부문 | IT &ITES |
| 최대 시장 | 북미 |
모바일 앱 및 웹 분석 세계 시장의 성장은 스마트폰, 모바일 애플리케이션, 디지털 서비스의 전 세계적인 급속한 보급에 힘입어 성장하고 있습니다. 소매, 금융, 헬스케어, 엔터테인먼트, 여행 등 다양한 분야의 기업들이 정보에 기반한 의사결정을 내리고 고객 참여를 높이기 위해 데이터에 대한 의존도를 높이고 있습니다. 전자상거래, 모바일 뱅킹, 온라인 엔터테인먼트 플랫폼의 등장으로 대량의 사용자 데이터가 생성되고, 기업들은 이를 활용해 선호도를 파악하고 트렌드를 예측했습니다. 또한, 인공지능, 머신러닝, 클라우드 컴퓨팅의 발전으로 더욱 고도화된 분석 기능을 통해 기업은 더 깊은 통찰력과 실용적인 제안을 도출할 수 있게 되었습니다.
세계 모바일 앱 및 웹 분석 시장은 기업들이 디지털 전환과 데이터 기반 전략을 점점 더 우선순위에 두면서 상승세를 이어갈 것으로 예측됩니다. 옴니채널 마케팅, 개인화 엔진, AI 기반 예측 분석과의 통합을 통해 이러한 플랫폼의 가치는 더욱 높아질 것으로 보입니다. 기업들은 고객 경험 향상, 앱 성능 최적화, 디지털 접점 전반에 걸친 참여 촉진을 위해 분석에 투자할 것으로 보입니다. 인터넷 보급 확대, 모바일 앱 사용 증가, 우수한 디지털 경험을 제공하기 위한 경쟁 심화로 인해 향후 몇 년 동안 시장은 크게 성장할 것으로 예측됩니다.
모바일 앱의 보급과 스마트폰 보급률 증가
데이터 프라이버시 및 보안에 대한 우려
인공지능과 머신러닝의 통합
The Global Mobile Apps and Web Analytics Market was valued at USD 10.54 Billion in 2024 and is expected to reach USD 23.61 Billion by 2030 with a CAGR of 14.39% through 2030. The Global Mobile Apps and Web Analytics Market refers to the industry focused on tools and platforms that collect, measure, and analyze data generated by users interacting with mobile applications and websites. These analytics platforms track user behavior, engagement patterns, conversion rates, and other key performance indicators to provide actionable insights for businesses. By understanding how users navigate apps and websites, organizations can optimize design, improve functionality, and deliver personalized experiences that drive retention and revenue. Analytics solutions typically include real-time reporting, event tracking, user segmentation, and integration with marketing and customer relationship management tools.
| Market Overview | |
|---|---|
| Forecast Period | 2026-2030 |
| Market Size 2024 | USD 10.54 Billion |
| Market Size 2030 | USD 23.61 Billion |
| CAGR 2025-2030 | 14.39% |
| Fastest Growing Segment | IT & ITES |
| Largest Market | North America |
The growth of the Global Mobile Apps and Web Analytics Market is fueled by the rapid adoption of smartphones, mobile applications, and digital services worldwide. Businesses across sectors such as retail, finance, healthcare, entertainment, and travel are increasingly relying on data to make informed decisions and enhance customer engagement. The rise of e-commerce, mobile banking, and online entertainment platforms has generated massive volumes of user data, which companies leverage to understand preferences and predict trends. Additionally, advancements in artificial intelligence, machine learning, and cloud computing enable more sophisticated analytics capabilities, allowing organizations to derive deeper insights and actionable recommendations.
The Global Mobile Apps and Web Analytics Market is expected to continue its upward trajectory as businesses increasingly prioritize digital transformation and data-driven strategies. Integration with omnichannel marketing, personalization engines, and AI-driven predictive analytics will further enhance the value of these platforms. Companies will invest in analytics to improve customer experience, optimize app performance, and drive engagement across digital touchpoints. With expanding internet penetration, increasing mobile app usage, and growing competition to deliver superior digital experiences, the market is poised for substantial growth in the coming years.
Key Market Drivers
Rising Mobile App Adoption and Smartphone Penetration
The rapid proliferation of smartphones and mobile applications is a primary driver for the Global Mobile Apps and Web Analytics Market. Mobile devices have become ubiquitous in daily life, with users relying on them for communication, entertainment, shopping, banking, and health management. As smartphone adoption increases, businesses are launching mobile applications to reach consumers directly and enhance engagement. These applications generate vast volumes of behavioral data, including app usage patterns, session durations, feature interactions, and navigation paths. Mobile analytics tools allow companies to process this data, measure user engagement, and optimize app performance to improve customer experience and retention. By understanding how users interact with applications, organizations can implement data-driven strategies to increase adoption rates and revenue generation.
In addition, the mobile-first approach across industries has amplified the demand for robust analytics platforms. E-commerce, banking, entertainment, and travel sectors increasingly rely on mobile apps as a primary channel to connect with customers. The data generated from apps provides insights into user preferences, purchasing patterns, and engagement trends, enabling organizations to personalize offerings and optimize marketing strategies. Furthermore, mobile analytics tools help businesses monitor app performance, detect technical issues, and improve usability, ensuring higher customer satisfaction. As global smartphone penetration continues to rise, the volume of app-generated data will grow exponentially, reinforcing the importance of analytics solutions for informed decision-making and competitive advantage. Globally, smartphone users are projected to exceed 7.5 billion by 2025. Each user generates multiple daily interactions across apps, producing vast datasets. This enormous volume of behavior and engagement data provides businesses with actionable insights for optimizing mobile applications and enhancing customer experiences.
Key Market Challenges
Data Privacy and Security Concerns
The growing reliance on mobile apps and web platforms has created massive volumes of consumer data, including personal, financial, and behavioral information. While this data drives analytics and insights, it also exposes organizations to significant data privacy and security risks. Regulatory frameworks such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other regional privacy laws impose strict requirements on data collection, storage, and processing. Non-compliance can result in heavy fines, reputational damage, and reduced consumer trust. Moreover, cyberattacks, including ransomware, phishing, and unauthorized access, pose ongoing threats to sensitive customer information. Organizations must implement robust security measures such as encryption, secure cloud storage, multi-factor authentication, and continuous monitoring to safeguard data. These requirements not only increase operational costs but also add complexity to analytics initiatives, as businesses must balance data accessibility with strict security protocols.
Consumers are increasingly aware of privacy risks and are demanding transparency in how their data is collected and used. This growing awareness has made privacy a critical factor in user adoption of mobile apps and web services. Any breach or misuse of customer data can lead to immediate loss of trust, negatively impacting user engagement and retention. For analytics platforms, limited access to complete and accurate datasets due to privacy restrictions can reduce the effectiveness of insights, potentially leading to suboptimal business decisions. Organizations must therefore prioritize compliance, security, and ethical use of data to ensure sustainable adoption of analytics solutions, maintain customer confidence, and protect long-term business value in a highly competitive digital landscape.
Key Market Trends
Integration of Artificial Intelligence and Machine Learning
The integration of artificial intelligence and machine learning into mobile apps and web analytics platforms is transforming the Global Mobile Apps and Web Analytics Market. Businesses are increasingly adopting AI-driven analytics to process vast datasets in real time, identify behavioral patterns, and generate actionable insights. Machine learning algorithms enable predictive modeling, customer segmentation, and automated decision-making, allowing organizations to anticipate user needs and optimize digital experiences. By leveraging AI, companies can personalize app interfaces, deliver targeted promotions, and enhance user engagement, leading to higher retention rates and revenue growth.
AI and machine learning facilitate advanced anomaly detection and sentiment analysis, helping businesses identify potential issues before they escalate. Analytics platforms can automatically detect trends, measure campaign effectiveness, and offer recommendations for optimization without manual intervention. The adoption of AI-powered analytics also improves operational efficiency by reducing the time and resources required for data processing. As artificial intelligence technologies continue to advance, their integration with mobile apps and web analytics will remain a key trend, driving deeper insights, improved personalization, and enhanced decision-making capabilities for enterprises across industries.
In this report, the Global Mobile Apps and Web Analytics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Mobile Apps and Web Analytics Market.
Global Mobile Apps and Web Analytics Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report: