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Mobile Artificial Intelligence Market Forecast: Value Set To Climb From $27.58 Billion To $67.45 Billion
The mobile artificial intelligence market has experienced substantial growth in recent years. It is projected to increase from $22.15 billion in 2025 to $27.58 billion in 2026, achieving a compound annual growth rate (CAGR) of 24.5%. The expansion witnessed during the past period can be attributed to the evolution of mobile processors, the rise in smartphone adoption, the early availability of AI-powered mobile applications, the broadening of cloud AI services, and a surge in mobile data generation.
The mobile artificial intelligence market is poised for significant expansion in the coming years. It is projected to reach $67.45 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 25.1%. This growth throughout the forecast period stems from factors such as increasing demand for real-time AI processing, the proliferation of AI-enabled consumer devices, greater adoption of edge computing, continuous advancements in AI chip technology, and the expanding scope of AI-driven mobile applications. Prominent trends anticipated for the forecast period include on-device AI processing, the deployment of edge AI on mobile devices, AI-enabled personalization features, intelligent voice and image recognition capabilities, and the development of energy-efficient AI models.
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Mobile Artificial Intelligence Market Growth Factors Behind Sustained Expansion
The increasing adoption of drones is anticipated to propel the growth of the mobile artificial intelligence market going forward. Drones are uncrewed aerial vehicles that operate either through remote control by pilots or autonomously via technology. Mobile artificial intelligence is a vital element in the progression of drones, empowering them to function with greater autonomy, intelligence, and efficiency across a broad spectrum of applications and industries. Its capacity to process data in real-time, identify objects, and make sound decisions renders drones more adaptable and valuable instruments in various fields. For instance, in February 2024, Airservices Australia, an Australia-based federal Government-owned organization, projected that the annual number of drone flights in Australian airspace would rise from 1.5 million in 2023 to 60.4 million by 2043. Consequently, the heightened utilization of drones across numerous sectors is driving the mobile artificial intelligence market.
Mobile Artificial Intelligence Market Segment Performance And Emerging Opportunities
The mobile artificial intelligence market covered in this report is segmented –
1) By Component: Hardware, Software, Services
2) By Technology Node: 20–28 Nano Meter (NM), 10 Nano Meter (NM), 7 Nano Meter (NM), Other Technology Nodes
3) By Application: Smartphones, Robotics, Augmented Reality (AR) And Virtual Reality (VR), Cameras, Drones, Automotive, Other Applications
Subsegments:
1) By Hardware: AI Chips, Sensors, Mobile Devices
2) By Software: Machine Learning Algorithms, Natural Language Processing (NLP) Tools, AI Frameworks And Platforms, Mobile Applications With AI Capabilities
3) By Services: AI Consulting Services, AI Integration Services, AI Maintenance And Support Services, Custom AI Development Services
Mobile Artificial Intelligence Market Industry Trends Fueling Future Revenue Growth
Leading companies operating within the mobile artificial intelligence market are embracing novel technologies, such as generative AI, to maintain their market standing. Generative AI is a form of artificial intelligence technology capable of producing various content types, including text, imagery, audio, and synthetic data. For instance, in April 2023, Sofy, a US-based company providing automation solutions for mobile apps, unveiled SofySense, a generative AI-driven, no-code mobile app testing solution. Generative AI enables the creation of new data from existing datasets, while no-code testing solutions empower users to conduct software testing without writing any code. This combination holds the potential to revolutionize mobile app testing by automating processes and improving efficiency. SofySense minimizes the time spent on reviewing outcomes to identify issues by generating test cases, simplifying research and test design requirements, and facilitating a smooth conversion of test cases into automated tests, thereby removing the need for creating automation code.
Mobile Artificial Intelligence Market Key Players: Which Companies Lead Industry Competition?
Major companies operating in the mobile artificial intelligence market are Apple Inc; Google LLC; Samsung Electronics Co Ltd; Microsoft Corporation; Alibaba Group Holding Limited; Tencent Holdings Limited; Amazon Web Services Inc.; Intel Corporation; IBM Corporation; LG Electronics Inc.; Qualcomm Incorporated; NVIDIA Corporation; Salesforce Inc.; Nokia Corporation; MediaTek Inc.; Baidu Inc.; Cerebras Systems Inc; H2O.AI Inc.; Fuzhou Rockchip Electronics Co Ltd.; Cambricon Technologies Corporation Ltd; Huawei Technologies Co Ltd; ShanghAI Thinkforce Electronic Technology Co Ltd ; Blaize Inc.; Kneron Inc.; Graphcore Ltd; Deephi Technology Co Ltd
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Mobile Artificial Intelligence Market Global Footprint: Which Region Leads The Market?
North America was the largest region in the mobile artificial intelligence market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the mobile artificial intelligence market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
