[193 Pages Report] The Mobile Artificial Intelligence Market size was estimated at USD 17.46 billion in 2023 and expected to reach USD 21.41 billion in 2024, at a CAGR 24.61% to reach USD 81.51 billion by 2030.
Mobile artificial intelligence (AI) refers to deploying advanced AI algorithms and models on mobile devices, enabling these devices to learn from data, make predictions, and make autonomous decisions in real-time. This transformative technology enhances user experiences through personalized content, improved device performance, and novel applications such as real-time language translation and image recognition. The proliferation of mobile AI is primarily fueled by the exponential increase in mobile computing power, advancements in AI and machine learning technologies, and the escalating demand for smarter, context-aware mobile applications. The increasing popularity of home automation devices is also expanding the use of mobile AI. Irrespective of its benefits, mobile AI faces challenges, including privacy concerns, limited processing capabilities compared to cloud-based systems, and high energy consumption impacting device battery life. Addressing these issues involves optimizing AI algorithms for mobile platforms, ensuring strict data security and privacy measures, and developing energy-efficient AI models. The advancements in mobile AI technologies and their exponential use in automotive and wearable devices are expected to create immense opportunities for commercialization. Partnerships between mobile AI providers and mobile device companies across industries are accelerating the development of improved mobile AI versions.
Technology Node: Adoption of 7nm process for best performance and efficiency
The 10nm technology node is primarily utilized by manufacturers aiming for a balance between performance and power efficiency in high-end smartphone SoCs (Systems on Chips). Devices employing 10nm chips achieve faster processing speeds and enhanced battery life in comparison to their predecessors. This technology node is favored for flagship smartphones and portable computing devices where power efficiency and performance are critical. The 20-28nm technology node serves the mid-range to low-end mobile device market, balancing cost efficiency with performance. While less advanced than the 10nm or 7nm technologies, 20-28nm chips are sufficient for everyday mobile applications, including basic AI tasks. This node is preferred by manufacturers targeting the mass market where device affordability is a significant concern. The 7nm technology node is significantly used in current chip fabrication technology used in mobile AI, offering unprecedented performance and energy efficiency. It is the preferred choice for premium smartphones and devices requiring intensive computational capabilities, such as advanced AI and machine learning tasks. The 7nm node enables devices to perform more complex AI algorithms on-device, enhancing user experience through faster and more accurate AI processing.
Functionalities: Rising utility of image recognition technology across industries
Image recognition technology allows mobile devices to identify and process images in a way that simulates human vision. It is widely used in applications ranging from security authentication (face recognition) to real-time object identification in various industries. Intelligent virtual assistants (IVAs) employ AI to provide personalized assistance and services through voice or text interactions. They can perform various tasks, including setting reminders, providing recommendations, and controlling smart home devices. Predictive text technology enhances typing efficiency on mobile devices by suggesting the next words based on the user’s typing habits and commonly used phrases. Voice recognition technology enables devices to understand and respond to spoken commands. It is foundational across consumer goods for hands-free operation and accessibility and in automotive for enhanced safety and convenience.
Device Type: Integration of AI in flagship smartphone models for AI to optimize performance and user experiences
Mobile AI is revolutionizing various systems in the automotive sector, including navigation and advanced driver assistance systems (ADAS), enhancing safety and convenience for drivers and passengers. Mobile AI in cameras focuses on enhancing image processing capabilities, such as automatic scene detection, object recognition, and real-time filters. Consumers demand high-quality photography without manual adjustments. Drones employ mobile AI for autonomous flight, obstacle avoidance, and real-time data processing for applications ranging from surveillance to delivery. Mobile AI in healthcare devices focuses on patient monitoring, diagnosis, and personalized treatment, catering to the rising demand for telehealth and wearable health trackers. Home automation devices with mobile AI, such as smart thermostats, lights, and security systems, offer convenience, energy efficiency, and enhanced security. Consumers prefer devices that can learn and adapt to their habits. Smart glasses with mobile AI provide augmented reality (AR) experiences, real-time notifications, and hands-free operations, appealing to both consumer and enterprise markets. Smartphones are at the forefront of mobile AI, enhancing user experiences through virtual assistants, camera improvements, and predictive text. The integration of AI in tablets and personal computers focuses on productivity enhancements, facial recognition, and personalized content delivery. Users prioritize processing power and AI-driven security features. Wearable devices leverage mobile AI for health tracking, fitness coaching, and providing notifications, mirroring the consumer’s desire for wellness and connectivity.
Application: Rise of AI-based camera models to offer high-quality visual content for social media and professional photography
Mobile AI significantly elevates camera functionalities through advanced image processing techniques, enabling features, including enhanced low-light photography, portrait mode, and real-time filters. These capabilities cater to the growing user demand for high-quality photography on mobile devices. AI in mobile applications transforms the eCommerce and retail industry by personalizing the shopping experience, delivering targeted advertisements, and enhancing customer service through chatbots. Mobile AI enhances gaming experiences through smarter, non-playable character (NPC) behavior, game development tools, and personalized gaming content, catering to the diverse preferences of gamers. Mobile AI applications in health and fitness provide personalized health monitoring, workout recommendations, and nutritional advice, contributing to the growing trend of health consciousness. Mobile AI facilitates real-time language translation and personalized language learning experiences, breaking down language barriers and promoting global communication. Integrating AI in personal assistants and chatbots enhances user interaction with devices, providing personalized information and automating tasks, thereby increasing efficiency. Mobile AI significantly improves security and authentication procedures by utilizing biometric data and behavior analysis, ensuring secure and user-friendly access to devices and applications.
Industry: Popularity of mobile AI in the retail sector for user engagement and purchase personalization
Mobile AI in agriculture is increasingly adopted for precision farming, livestock monitoring, crop monitoring, and agricultural drones as the application is fitted onto mobile devices. In education, mobile AI applications target personalized learning, administrative task automation, and student engagement tracking. It is used for customized learning experiences and efficiency in administration. Mobile AI in entertainment focuses on content personalization, augmented reality (AR) experiences, and game development. Within finance, mobile AI applications are pivotal for fraud detection, customer service automation, and personalized banking services. The sector seeks to boost security, operational efficiency, and customer satisfaction. The healthcare industry utilizes mobile AI for diagnostic assistance, patient monitoring, and health management platforms, with a major emphasis on improving diagnostic accuracy and patient care efficiency. AI in manufacturing focuses on predictive maintenance, quality control, and supply chain optimization. The mobility & transportation sector leverages mobile AI for the optimization of autonomous vehicles, traffic management, and ride-sharing services. In retail, mobile AI applications assist in personalized shopping experiences, inventory management, and customer service chatbots. The industry seeks to elevate customer satisfaction and streamline operations.
Regional Insights
The Americas stands as a major region in the innovation and application of mobile AI, fostered by pioneering tech companies and startups. This region benefits from significant R&D investments and a robust ecosystem supporting AI startups, which propels its dominance in AI application development and deployment in mobile technologies. The APAC region, led by countries such as China and South Korea, showcases rapid adoption rates coupled with substantial government backing in AI technologies, making it a considerable force in the production and use of mobile AI. The focus in APAC is more on the integration of AI in consumer electronics and mobile services. APAC also observes the rise of small-scale startups in AI backed by angel investors, particularly in the healthcare and retail sectors. With AR & VR technologies gaining popularity in the region’s gaming sector, the adoption of mobile AI is expected to rise further. EMEA, with its diverse landscape, navigates through a more regulated environment, particularly in the EU, which impacts the pace of AI integration into mobile technology. This region excels in research and the formulation of ethical AI guidelines, presenting a balanced approach between innovation and regulation. Companies in EMEA heavily invest in adopting AI to enhance user privacy and data security in mobile applications, aligning with the stringent GDPR standards.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Mobile Artificial Intelligence Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Mobile Artificial Intelligence Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Mobile Artificial Intelligence Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., AIMobile Co., Ltd., AIStorm Inc., Apple Inc., AT&T Inc., Blaize, Inc., Cerebras Systems Inc., DataRobot, Inc., Google LLC by Alphabet Inc., Graphcore Ltd., Huawei Technologies Co., Ltd., Imagination Technologies Ltd., Intel Corporation, International Business Machines Corporation, Kneron, Inc., MediaTek Inc., Meta Platforms, Inc., Microsoft Corporation, Nvidia Corporation, Passio, Inc., Qualcomm Incorporated, rabbitAI GmbH, Rockchip Electronics Co., Ltd., SambaNova Systems, Inc., Samsung Electronics Co., Ltd., Shanghai Thinkforce Electronic Technology Co., Ltd., Turing Video, and Zhongke Cambrian Technology Co., Ltd..
Market Segmentation & Coverage
This research report categorizes the Mobile Artificial Intelligence Market to forecast the revenues and analyze trends in each of the following sub-markets:
- Technology Node
- 10nm
- 20-28nm
- 7nm
- Functionalities
- Image Recognition
- Intelligent Virtual Assistants
- Predictive Text
- Voice Recognition
- Device Type
- Automotive
- Cameras
- Drones
- Healthcare Devices
- Home Automation Devices
- Smart Glasses
- Smartphones
- Tablets & Personal Computers
- Wearable Devices
- Application
- Camera & Image Processing
- E-commerce & Retail
- Gaming
- Health & Fitness
- Language Translation & Learning
- Personal Assistants & Chatbots
- Security & Authentication
- Industry
- Agriculture
- Education
- Entertainment
- Finance
- Healthcare
- Manufacturing
- Mobility & Transportation
- Retail
- Region
- Americas
- Argentina
- Brazil
- Canada
- Mexico
- United States
- California
- Florida
- Illinois
- New York
- Ohio
- Pennsylvania
- Texas
- Asia-Pacific
- Australia
- China
- India
- Indonesia
- Japan
- Malaysia
- Philippines
- Singapore
- South Korea
- Taiwan
- Thailand
- Vietnam
- Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom
- Americas
The report offers valuable insights on the following aspects:
- Market Penetration: It presents comprehensive information on the market provided by key players.
- Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
- Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
- Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
- Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
- What is the market size and forecast of the Mobile Artificial Intelligence Market?
- Which products, segments, applications, and areas should one consider investing in over the forecast period in the Mobile Artificial Intelligence Market?
- What are the technology trends and regulatory frameworks in the Mobile Artificial Intelligence Market?
- What is the market share of the leading vendors in the Mobile Artificial Intelligence Market?
- Which modes and strategic moves are suitable for entering the Mobile Artificial Intelligence Market?
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