USD 28.11 billion
Report ID:
SQMIG45A2310 |
Region:
Global |
Published Date: March, 2025
Pages:
197
|Tables:
70
|Figures:
75
Mobile Artificial Intelligence (AI) Market size was valued at USD 28.11 billion in 2023 and is poised to grow from USD 35.67 billion in 2024 to USD 239.89 billion by 2032, growing at a CAGR of 26.9% during the forecast period (2025-2032).
The growing popularity of edge computing is expected to offer possibilities for the mobile artificial intelligence (AI) industry. AI initiatives have changed in companies around the world. As more and more projects are being developed across companies, cloud computing has become an integral part of AI development. With consumers spending more time on their smartphones, businesses are increasingly recognizing the need for critical computing on a device. That’s why edge computing will continue to evolve over the next few years.
Growing cognitive computing and increasing AI applications are driving the market. With technologies like AI and ML, cognitive computing systems can look at large amounts of data, gain insights, and use those insights to learn and improve Insights solutions.
Artificial intelligence (AI) has permeated the IT industry and disrupted various end-user industries around the world. AI has made incredible progress for businesses and their customers. With the emergence of technological advances such as virtual assistants, self-driving cars and chatbots, AI is expected to disrupt the way mobile devices are used.
Market snapshot - 2025-2032
Global Market Size
USD 28.11 billion
Largest Segment
Hardware
Fastest Growth
Services
Growth Rate
26.9% CAGR
To get more reports on the above market click here to Buy The Report
Global Mobile Artificial Intelligence (AI) Market is segmented by Technology Node, Component, Application, Industry Vertical and region. Based on Technology Node, the market is segmented into 7 nm, 10 nm, 20-28 nm and Others. Based on Component, the market is segmented into Hardware, Software and Services. Based on Application, the market is segmented into Smartphones, Cameras, Drones, Robotics, Automotive, AR/VR and Others. Based on Industry Vertical, the market is segmented into Consumer Electronics, Automotive, Healthcare, Retail, BFSI (Banking, Financial Services, and Insurance), IT and Telecom and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
The hardware segment is the dominating segment in the global mobile artificial intelligence (AI) market share across the forecast period. High use of advanced AI chips for mobile artificial intelligence (AI) applications and growing integration of AI hardware in mobile devices are all contributing to the dominance of this segment.
The services segment is the fastest growing in the market. Meanwhile, the demand for mobile artificial intelligence (AI) services is projected to increase at a rapid pace over the coming years. Increasing use of mobile AI applications is projected to boost the demand for services for the same over the coming years.
The smartphone segment dominated the market and accounted for over 36.97% of the global revenue by 2022. The rapid growth of smartphones across the globe is fueling market growth. Several remarkable industries in manufacturing, transportation and video games are powered by artificial intelligence. AI in smartphones plays an important role and extends beyond digital assistants and other features. With the advent of edge-AI technology, many of the backend AI capabilities for profiling can now be transferred to the phone itself, accelerating market expansion.
Popular interest in virtual augmented reality has increased recently with the rise of VR technology and smartphone-based devices. Virtual reality (VR) is a relatively new technology. Virtual reality technologies, such as VR technologies with gaming training, simulation, and smartphone technologies, can be dynamically duplicated by computer hardware, software, and technologies VR can also be used in applications such as IoT, crypto chips, home systems, Industry 4.0. This approach can benefit from the use of AI algorithms. Preventing security threats requires high levels of resource integrity and node privacy, and AI can provide solutions, especially when used in gaming activities to drive market growth.
To get detailed analysis on other segments, Request For Free Sample Report
North America is estimated to account for the leading share of global revenue of 30.8% by 2022. Moreover, with the expansion of several market players in the countries in this region will be able to lead in technology adoption with mobiles. Artificial intelligence and Internet of Things are gaining popularity in many industries, and intelligent automation technologies are on the rise greater thus the need for greater use of mobile AI in the region.
Asia Pacific is estimated to grow at the highest CAGR during the forecast period. Significant automotive electronics and semiconductor industry in China and Japan, along with manufacturing companies hold great promise for APAC for technologies such as mobile phones, industrial robotics and automotive driving the expansion of the market. Smartphone usage using Al processors is expected to increase in Asia-Pacific in the coming years due to the increasing popularity of smartphones in countries such as China, Japan, India and South Korea.
To know more about the market opportunities by region and country, click here to
Buy The Complete Report
Growing Demand for AI-powered Applications
Rise in the Expansion of 5G Technology
Increased Development Costs
Data Privacy Issues
Limited Use of Power
Request Free Customization of this report to help us to meet your business objectives.
The Mobile Artificial Intelligence (AI) market is characterized by a dynamic competitive environment, with rapid technological advancements and strategic collaboration among key players. Leading technology companies, industries with a focus on AI and semiconductor manufacturers are actively contributing to market growth and innovation. Apple uses its proprietary combination of AI hardware and software to enhance its product offerings. The company focuses on in-house chip development such as the A-series and M1 chips to enhance AI performance in its devices. Apple's introduction of the Neural Engine in its A11 Bionic chip significantly improved machine learning, enabling features like Face ID.
SkyQuest's ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, rapid advancements in AI technology and growing demand for on-device AI solutions are projected to bolster the demand for mobile artificial intelligence (AI) over the coming years. However, compatibility issues and security concerns impede mobile artificial intelligence (AI) adoption across the forecast period. Rapid adoption of advanced technologies and presence of key mobile artificial intelligence (AI) companies allows North America to account for a dominant market share. Mobile artificial intelligence (AI) market players should focus on providing personalized mobile artificial intelligence (AI) applications and services to stand out from the competition in the future.
Report Metric | Details |
---|---|
Market size value in 2023 | USD 28.11 billion |
Market size value in 2032 | USD 239.89 billion |
Growth Rate | 26.9% |
Base year | 2024 |
Forecast period | 2025-2032 |
Forecast Unit (Value) | USD Billion |
Segments covered |
|
Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
|
Customization scope | Free report customization with purchase. Customization includes:-
|
To get a free trial access to our platform which is a one stop solution for all your data requirements for quicker decision making. This platform allows you to compare markets, competitors who are prominent in the market, and mega trends that are influencing the dynamics in the market. Also, get access to detailed SkyQuest exclusive matrix.
Buy The Complete Report to read the analyzed strategies adopted by the top vendors either to retain or gain market share
Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the Mobile Artificial Intelligence (AI) Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Mobile Artificial Intelligence (AI) Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Mobile Artificial Intelligence (AI) Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Mobile Artificial Intelligence (AI) Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
REQUEST FOR SAMPLE
Mobile Artificial Intelligence (AI) Market size was valued at USD 17 Billion in 2023 and is poised to grow from USD 21.57 Billion in 2024 to USD 145.12 Billion by 2032, growing at a CAGR of 26.9% during the forecast period (2025-2032).
The Mobile Artificial Intelligence (AI) market is characterized by a dynamic competitive environment, with rapid technological advancements and strategic collaboration among key players. Leading technology companies, industries with a focus on AI and semiconductor manufacturers are actively contributing to market growth and innovation. Apple uses its proprietary combination of AI hardware and software to enhance its product offerings. The company focuses on in-house chip development such as the A-series and M1 chips to enhance AI performance in its devices. Apple’s introduction of the Neural Engine in its A11 Bionic chip significantly improved machine learning, enabling features like Face ID. 'Google LLC (Alphabet Inc.) ', 'Graphcore ', 'IBM ', 'Cambricon Technology ', 'Qualcomm Technologies Inc. ', 'Sambanova Systems ', 'Rockchip (Fuzhou Rockchip Electronics Co., Ltd.) ', 'Thinci ', 'INTEL CORPORATION ', 'Cerebras Systems ', 'MICROSOFT CORPORATION ', 'Apple Inc. ', 'Kneron ', 'Huawei Technologies Co., Ltd. (Huawei) ', 'MEDIATEK Inc. ', 'Shanghai Thinkforce Electronic Technology Co., Ltd (Thinkforce ', 'Samsung Electronics ', 'NVIDIA CORPORATION ', 'Deephi Tec'
Proliferation of AI-powered applications in various industries including entertainment, healthcare and finance is driving the market. Mobile devices are increasingly being integrated with applications such as facial recognition, voice assistants and augmented reality, driving the market growth.
Future Pioneers with AI at the Edge: One of the most important trends in the market is the integration of AI with edge computing. This approach keeps data resources closer to the source (i.e. mobile device) rather than relying on cloud-based systems. Edge AI reduces latency, increases real-time processing capabilities, and improves data privacy by reducing data transfers to central servers. As a result, mobile devices are becoming more autonomous and responsive, paving the way for new applications and improved user experiences.
North America is estimated to account for the leading share of global revenue of 30.8% by 2022. Moreover, with the expansion of several market players in the countries in this region will be able to lead in technology adoption with mobiles. Artificial intelligence and Internet of Things are gaining popularity in many industries, and intelligent automation technologies are on the rise greater thus the need for greater use of mobile AI in the region.
Want to customize this report? This report can be personalized according to your needs. Our analysts and industry experts will work directly with you to understand your requirements and provide you with customized data in a short amount of time. We offer $1000 worth of FREE customization at the time of purchase.
Feedback From Our Clients
Report ID: SQMIG45A2310
[email protected]
USA +1 351-333-4748