Mobile Artificial Intelligence (AI) Market Size, Share, and Growth Analysis, By Technology Node (7 nm, 10 nm), By Component (Hardware, Software), By Application, By Industry Vertical, By Region - Industry Forecast 2025-2032

Mobile Artificial Intelligence (AI) Market size was valued at USD 28.11 billion in 2023 and is poised to grow from USD 35.67 billion in 2024 to USD 239.89 billion by 2032, growing at a CAGR of 26.9% during the forecast period (2025-2032).

The burgeoning demand for edge computing presents significant opportunities for the mobile artificial intelligence (AI) sector. Companies globally are reimagining their AI strategies, increasingly integrating cloud computing into their development processes. As consumer reliance on smartphones intensifies, the necessity for robust on-device computing grows, positioning edge computing for substantial growth in the coming years. The rise of cognitive computing and diverse AI applications is propelling market momentum, as systems leveraging AI and machine learning analyze vast datasets to extract valuable insights and enhance functionality. AI's transformative impact on the IT landscape is reshaping multiple industries, exemplified through innovations like virtual assistants, autonomous vehicles, and chatbots, fundamentally altering smartphone utility and user experience.

Top-down and bottom-up approaches were used to estimate and validate the size of the Mobile Artificial Intelligence (AI) 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.

Mobile Artificial Intelligence (AI) Market Segments Analysis

Global Mobile Artificial Intelligence (AI) Market is segmented by Technology Node, Component, Application, Industry Vertical and region. Based on Technology Node, the market is segmented into 7 nm, 10 nm, 20-28 nm and Others. Based on Component, the market is segmented into Hardware, Software and Services. Based on Application, the market is segmented into Smartphones, Cameras, Drones, Robotics, Automotive, AR/VR and Others. Based on Industry Vertical, the market is segmented into Consumer Electronics, Automotive, Healthcare, Retail, BFSI (Banking, Financial Services, and Insurance), IT and Telecom and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Mobile Artificial Intelligence (AI) Market

The Mobile Artificial Intelligence (AI) market is witnessing significant growth fueled by the widespread adoption of AI-driven applications across diverse sectors such as entertainment, healthcare, and finance. The integration of advanced technologies into mobile devices, including features like facial recognition, voice assistants, and augmented reality, is propelling the demand for AI-enhanced functionalities. As more industries leverage these innovations to improve user experience and operational efficiency, the mobile AI market is set to expand rapidly. This trend highlights the increasing importance of AI in everyday mobile applications, making it a pivotal driver for growth in this burgeoning market.

Restraints in the Mobile Artificial Intelligence (AI) Market

The substantial financial investments necessary for the development and integration of artificial intelligence technology into mobile devices pose a significant challenge for many companies. The elevated research and development expenses can hinder market expansion, particularly impacting smaller enterprises that may lack the resources to compete effectively. This financial barrier can result in limited innovation and slower adoption of AI solutions within the mobile sector, ultimately constraining the overall growth of the Mobile Artificial Intelligence market. Companies may struggle to allocate the necessary funds, which could lead to reduced competitive advantages and a slowdown in technological advancements.

Market Trends of the Mobile Artificial Intelligence (AI) Market

The Mobile Artificial Intelligence (AI) market is witnessing a transformative trend with the convergence of AI and edge computing, which significantly enhances device functionality by processing data closer to its source. This integration reduces latency and boosts real-time processing capabilities, allowing mobile devices to function more autonomously, thereby enriching user experiences. Moreover, by minimizing data transfers to centralized servers, edge AI heightens data privacy, addressing growing consumer concerns. As mobile applications increasingly harness this technology, we anticipate a surge in innovative solutions that will redefine user engagement and operational efficiency, positioning the sector for substantial growth in the coming years.