Mobile Artificial Intelligence (AI)

Mobile Artificial Intelligence (AI)

Global Mobile Artificial Intelligence (AI) Market to Reach US$148.6 Billion by 2030

The global market for Mobile Artificial Intelligence (AI) estimated at US$30.7 Billion in the year 2023, is expected to reach US$148.6 Billion by 2030, growing at a CAGR of 25.3% over the analysis period 2023-2030. 5-10 nm Technology Node, one of the segments analyzed in the report, is expected to record a 24.9% CAGR and reach US$72.6 Billion by the end of the analysis period. Growth in the 11-20 nm Technology Node segment is estimated at 26.6% CAGR over the analysis period.

The U.S. Market is Estimated at US$8.8 Billion While China is Forecast to Grow at 24.6% CAGR

The Mobile Artificial Intelligence (AI) market in the U.S. is estimated at US$8.8 Billion in the year 2023. China, the world`s second largest economy, is forecast to reach a projected market size of US$22.7 Billion by the year 2030 trailing a CAGR of 24.6% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 22.2% and 21.4% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 17.5% CAGR.

Global Mobile Artificial Intelligence (AI) Market - Key Trends and Drivers Summarized

How Is Mobile Artificial Intelligence (AI) Transforming Mobile Technology?

Mobile Artificial Intelligence (AI) refers to the integration of AI capabilities into mobile devices, allowing them to perform advanced functions such as image recognition, natural language processing, and augmented reality in real-time. Mobile AI is rapidly changing how people interact with their devices, enabling more personalized, intelligent, and efficient user experiences. The development of AI-powered processors and machine learning algorithms optimized for mobile platforms has made it possible for devices to perform complex computations locally without relying on cloud-based processing. As a result, applications such as facial recognition, voice assistants, and predictive text are becoming more common across mobile devices, enhancing user engagement. The use of mobile AI extends beyond consumer applications, finding utility in sectors like healthcare, finance, and retail. In healthcare, for example, AI-powered mobile devices can assist in diagnosing medical conditions by analyzing images and patient data. In finance, AI can detect fraudulent activities by monitoring transaction patterns in real-time. AI-powered chatbots and virtual assistants are being used to improve customer service in retail, providing real-time support and personalized product recommendations. The broad range of applications is expanding the addressable market for mobile AI, driving innovation across various industries.

What Technological Innovations Are Driving Mobile AI Market Growth?

Technological innovations in mobile AI are focused on enhancing the processing power and efficiency of AI chips, optimizing machine learning algorithms for mobile environments, and improving data privacy. The development of dedicated AI chips, such as Neural Processing Units (NPUs), has significantly increased the computational capabilities of mobile devices, allowing for faster and more energy-efficient AI processing. Additionally, advancements in machine learning techniques, including federated learning, enable mobile AI to learn and improve on-device while maintaining data privacy by keeping user data local. Another key trend is the integration of AI across mobile operating systems, enabling a seamless AI experience across different applications. AI-based edge computing is also gaining traction, allowing mobile devices to perform tasks that previously required cloud-based processing, such as real-time translation and augmented reality applications. The deployment of 5G technology is further enhancing mobile AI capabilities by providing the high-speed connectivity needed for latency-sensitive applications, such as autonomous driving and remote healthcare.

How Do Market Segments Define the Growth of Mobile AI?

Technologies include deep learning, machine learning, computer vision, and natural language processing, with deep learning being the most widely used for tasks such as image recognition and voice assistants. Applications of mobile AI span across sectors such as consumer electronics, healthcare, automotive, and financial services. Consumer electronics represent a significant market share, driven by the increasing demand for AI-powered smartphones and wearable devices. Regionally, North America dominates the mobile AI market due to the presence of major technology companies and a high level of smartphone penetration. However, Asia-Pacific is witnessing the fastest growth, supported by rapid technological adoption, increasing investment in AI research, and the proliferation of smartphones in countries like China and India. The European market is also expanding, driven by initiatives to integrate AI into various sectors, including healthcare and automotive.

What Factors Are Driving the Growth in the Mobile AI Market?

The growth in the mobile AI market is driven by several factors, including the increasing adoption of smartphones, advancements in AI chip technology, and the integration of AI across various applications. The rising demand for intelligent and personalized user experiences is encouraging manufacturers to incorporate AI features in mobile devices. The development of AI-specific processors is enabling real-time AI functionalities, making applications like facial recognition and augmented reality more accessible. Furthermore, the rollout of 5G networks is expanding the potential of mobile AI by supporting high-speed, low-latency applications such as autonomous driving and telemedicine.

Select Competitors (Total 88 Featured) -

• Alphabet Inc. (Google)
• Apple
• Facebook, Inc.
• Hailo
• Huawei Technologies Co., Ltd.
• IBM
• Imagimob AB
• Intel Corporation
• MediaTek Inc.
• Microsoft
• NVIDIA
• Qualcomm, Inc.
• Samsung Electronics

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