Global Mobile Artificial Intelligence (AI) Market– Industry Trends and Forecast to 2031

Global Mobile Artificial Intelligence (AI) Market, By Technology (5nm-10nm, 11nm-20nm, and Above 20nm), Components (Hardware, Software, and Services), Application (Smartphones, Drones, Automotive, Cameras, Robotics, Augmented Reality (AR), Virtual Reality (VR), and Others) – Industry Trends and Forecast to 2031.

Mobile Artificial Intelligence (AI) Market Analysis and Size

In the mobile artificial intelligence (AI) market, cutting-edge technologies continually reshape user experiences. The synergy between AI and mobile technology fosters unprecedented convenience and efficiency, from advanced natural language processing enabling seamless voice assistants to innovative machine learning algorithms enhancing predictive capabilities. Embracing these innovations, users engage with their devices in increasingly intuitive and personalized ways.

For instance, Qualcomm Technologies, Inc. launched the Snapdragon 7+ Gen 2 Mobile Platform in March 2023, delivering premium experiences exclusive to the Snapdragon 7-series. Its exceptional CPU and GPU capabilities enable features such as 4K HDR videography, low-light photography, uninterrupted gaming, AI-enhanced experiences, and rapid 5G and Wi-Fi networking, fueling segment growth with augmented capabilities.

Data Bridge Market Research analyses that the global mobile artificial intelligence (AI) market size was valued at USD 8.23 billion in 2023, is projected to reach USD 62.89 billion by 2031, with a CAGR of 28.95% during the forecast period 2024 to 2031. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include in-depth expert analysis, geographically represented company-wise production and capacity, network layouts of distributors and partners, detailed and updated price trend analysis and deficit analysis of supply chain and demand.

Report Scope and Market Segmentation       

Market Definition

Mobile artificial intelligence (AI) refers to AI algorithms and technologies integrated into mobile devices such as smartphones and tablets. It enables tasks such as voice recognition, image processing, and predictive text. Mobile AI enhances user experience by offering personalized services, efficient resource management, and real-time decision-making capabilities, all within the confines of portable devices.

Global Mobile Artificial Intelligence (AI) Market Dynamics

Drivers

• Rising Demand for AI-Enabled Services

There is a rising demand for AI-enabled mobile services such as language translation, image recognition, and augmented reality applications. These functionalities enhance user experiences, enabling seamless communication, advanced visual capabilities, and immersive interactions. Integrating such services into mobile platforms reflects evolving consumer preferences and drives innovation in the mobile AI market.

• Advancements in AI Technology

Continuous advancements in AI algorithms, notably in machine learning and natural language processing, enhance the sophistication and effectiveness of AI-powered mobile applications. These advancements enable mobile devices to perform complex tasks with greater accuracy and efficiency, driving innovation and delivering more intelligent and personalized experiences to users worldwide, which is driving the market growth.

Opportunities

• Rise of Natural Language Processing (NLP)

NLP is increasingly common in mobile AI, enabling voice commands and natural language interactions. It drives voice recognition, language translation, sentiment analysis, and text summarization. These capabilities enhance user experience, making mobile devices more intuitive and versatile in understanding and responding to human language queries and commands.

• Rising Usage of AI Chipsets

Mobile device manufacturers are crafting specialized AI chipsets to enhance performance and energy efficiency for AI tasks. These chips expedite on-device AI computations, resulting in quicker inference and prolonged battery life. This innovation marks a significant advancement in mobile AI capabilities, catering to the growing demand for efficient and powerful AI-driven experiences on smartphones and tablets.

Restraints/Challenges

• Concern about Data Privacy

Data privacy concerns in the mobile AI market pose a significant challenge, necessitating access to personal data while adhering to stringent regulations such as GDPR. Balancing the need for data access with user privacy expectations is complex, impacting market trust and adoption. Compliance efforts add further complexity, requiring meticulous attention to privacy safeguards amidst evolving regulatory landscapes.

• Fragmentation of Platforms

The fragmentation of platforms in the mobile market, spanning diverse operating systems such as iOS and Android, alongside numerous device manufacturers, poses a significant challenge for AI developers. This fragmentation hampers market growth by complicating the creation of seamless AI applications across platforms and devices, increasing development costs and hindering widespread user adoption.

This mobile artificial intelligence (AI) market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the mobile artificial intelligence (AI) market, contact data bridge market research for an analyst brief, our team will help you take an informed market decision to achieve market growth.

Impact and Current Market Scenario of Raw Material Shortage and Shipping Delays

Data Bridge Market Research offers a high-level analysis of the market and delivers information by keeping in account the impact and current market environment of raw material shortage and shipping delays. This translates into assessing strategic possibilities, creating effective action plans, and assisting businesses in making important decisions.

Apart from the standard report, we also offer in-depth analysis of the procurement level from forecasted shipping delays, distributor mapping by region, commodity analysis, production analysis, price mapping trends, sourcing, category performance analysis, supply chain risk management solutions, advanced benchmarking, and other services for procurement and strategic support.

Expected Impact of Economic Slowdown on the Pricing and Availability of Products

When economic activity slows, industries begin to suffer. The forecasted effects of the economic downturn on the pricing and accessibility of the products are taken into account in the market insight reports and intelligence services provided by DBMR. With this, our clients can typically keep one step ahead of their competitors, project their sales and revenue, and estimate their profit and loss expenditures.

Recent Developments

• In May 2022, Avaya and Microsoft Corp. expanded their global partnership. Organizations gain enhanced productivity and customer engagement options by integrating Avaya OneCloud portfolio with Microsoft Azure. The collaboration promises unrivaled reliability, agility, and scalability, catering to the growing demands of the mobile AI market
• In March 2022, Intel Corporation's acquisition of Granulate Cloud Solutions Ltd. impacted the mobile artificial intelligence (AI) market. This strategic move aims to empower cloud and data center customers to optimize compute workload performance while curbing infrastructure and cloud costs. The integration promises to drive efficiency and innovation in mobile AI solutions
• In February 2022, Apple Inc.'s acquisition of an AI music startup marks its foray into the mobile artificial intelligence (AI) market. The startup's expertise in using AI to craft tailor-made music aligns with Apple's aim to enhance its audio offerings. This strategic acquisition underscores Apple's commitment to leveraging advanced AI technology to enrich user experiences in the mobile AI landscape

Global Mobile Artificial Intelligence (AI) Market Scope

The global mobile artificial intelligence (AI) market is segmented on the basis of technology, components, and application. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Technology

• 5nm-10nm
• 11nm-20nm
• Above 20nm

 Components

• Hardware
• Software
• Services

 Application

• Smartphones
• Drones
• Automotive
• Cameras
• Robotics
• Augmented Reality (AR),
• Virtual Reality (VR)
• Others

Global Mobile Artificial Intelligence (AI) Market Regional Analysis/Insights

The global mobile artificial intelligence (AI) market is analyzed and market size insights and trends are provided by technology, components, and application as referenced above.

The countries covered in the market report are U.S., Canada, Mexico, Brazil, Argentina and Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, and Rest of Middle East and Africa.

North America is expected to dominate the market, leveraging its conducive environment for startups and SMEs. The region's robust ecosystem fosters innovation, driving the development and adoption of AI technologies in mobile devices. This dominance reflects a dynamic landscape poised for continual growth and advancement.

Asia-Pacific is expected to witness the highest growth in the market as surge is attributed to rapid digitization in the region. With expanding technological infrastructure and rising smartphone adoption, Asia-Pacific emerges as a key market driving innovation and adoption of AI-powered mobile solutions.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Competitive Landscape and Global Mobile Artificial Intelligence (AI) Market Share Analysis

The global mobile artificial intelligence (AI) market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to the  market.

Some of the major players operating in the global mobile artificial intelligence (AI) market are:

• Huawei Technologies Co., Ltd. (China)
• SAMSUNG (South Korea)
• Qualcomm Technologies, Inc. (U.S.)
• Intel Corporation (U.S.)
• NVIDIA Corporation (U.S.)
• AYASDI AI LLC (U.S.)
• Baidu, Inc. (China)
• ClariFI, Inc. (U.S.)
• Cyrcadia Health (U.S.)
• Enlitic, Inc. (U.S.)
• Apple Inc. (U.S.)
• IBM (U.S.)
• Microsoft (U.S.)
• Imagination Technologies Ltd (U.K.)
• Graphcore (U.K.)
• Amazon Inc. (U.S.)
• Deephi Technology (China)
• Cambricon (China)
• Google (U.S.)