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$38.6 Billion in the year 2024, is expected to reach US$148.6 Billion by 2030, growing at a CAGR of 25.2% over the analysis period 2024-2030. 5-10 nm, 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 segment is estimated at 26.6% CAGR over the analysis period.

The U.S. Market is Estimated at US$11.3 Billion While China is Forecast to Grow at 24.5% CAGR

The Mobile Artificial Intelligence (AI) market in the U.S. is estimated at US$11.3 Billion in the year 2024. 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 24.5% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 22.1% and 21.3% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 17.4% 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.

SCOPE OF STUDY:

The report analyzes the Mobile Artificial Intelligence (AI) market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Technology Node (5-10 nm, 11-20 nm, Above 20 nm); Application (Smartphones, Cameras, Drones, Automotive, Robots, Other Applications)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

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

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

We are diligently following expert opinions of leading Chief Economists (14,949), Think Tanks (62), Trade & Industry bodies (171) worldwide, as they assess impact and address new market realities for their ecosystems. Experts and economists from every major country are tracked for their opinions on tariffs and how they will impact their countries.

We expect this chaos to play out over the next 2-3 months and a new world order is established with more clarity. We are tracking these developments on a real time basis.

As we release this report, U.S. Trade Representatives are pushing their counterparts in 183 countries for an early closure to bilateral tariff negotiations. Most of the major trading partners also have initiated trade agreements with other key trading nations, outside of those in the works with the United States. We are tracking such secondary fallouts as supply chains shift.

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APRIL 2025: NEGOTIATION PHASE

Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.

JULY 2025 FINAL TARIFF RESET

Complimentary Update: Our clients will also receive a complimentary update in July after a final reset is announced between nations. The final updated version incorporates clearly defined Tariff Impact Analyses.

Reciprocal and Bilateral Trade & Tariff Impact Analyses:

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JAPAN
INDIA
176 OTHER COUNTRIES.

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