Global Mobile Artificial Intelligence
Market Report
2025
Mobile Artificial Intelligence market size will be USD 14.50 billion in 2024 and will expand at a compound yearly growth rate (CAGR) of 24.1% from 2024 to 2031.
The base year for the calculation is 2024. The historical will be 2021 to 2024. The year 2025 will be estimated one while the forecasted data will be from year 2025 to 2033. When we deliver the report that time we updated report data till the purchase date.
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According to Cognitive Market Research, the global Mobile Artificial Intelligence market size will be USD 14.50 billion in 2024 and will expand at a compound yearly growth rate (CAGR) of 24.1% from 2024 to 2031.
2021 | 2025 | 2033 | CAGR | |
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Global Mobile Artificial Intelligence Market Sales Revenue | 121212 | 121212 | 121212 | 24.1% |
Base Year | 2024 |
Historical Data Time Period | 2021-2024 |
Forecast Period | 2025-2033 |
Market Split by Technology |
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Market Split by Application |
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List of Competitors |
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Regional Analysis |
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Country Analysis |
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Mobile Artificial Intelligence Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
The Mobile Artificial Intelligence (AI) market is a burgeoning sector poised to revolutionize various industries by integrating AI capabilities into mobile devices. With the ascending growth of smartphone usage globally, the demand for intelligent, personalized, and efficient mobile experiences has surged. Mobile AI leverages machine learning algorithms, natural language processing, and computer vision to enhance user interactions, optimize performance, and provide advanced functionalities on smartphones and tablets. Applications span across diverse sectors, including healthcare, finance, automotive, gaming, and retail. From virtual assistants like Siri and Google Assistant to predictive text input and image recognition features, mobile AI enhances user convenience, productivity, and decision-making capabilities. As advancements continue in AI algorithms and mobile hardware, the Mobile AI market is expected to grow significantly, offering new opportunities for innovation and transformative experiences in the mobile ecosystem.
Surging Demand for AI-capable Processors in Mobile Devices to Increase the Demand Globally - The surging demand for AI-capable processors in mobile devices drives the market of Mobile Artificial Intelligence by enabling enhanced performance and efficiency in AI-related tasks. AI-capable processors, such as neural processing units (NPUs) and graphics processing units (GPUs), accelerate AI computations locally on mobile devices, reducing reliance on cloud-based processing and enhancing real-time responsiveness. This integration facilitates advanced AI functionalities such as image recognition, natural language processing, and augmented reality on smartphones and tablets.
The proliferation of IoT devices fuels the demand for Mobile Artificial Intelligence, as it enables the intelligent processing and analysis of vast amounts of data generated by interconnected devices.
Limited Number of IT Experts- The limited number of IT experts constrains the market growth by restricting the availability of skilled professionals needed to develop, implement, and maintain AI-powered mobile applications and services.
Challenge of balancing advanced AI capabilities- Another limiting factor for the market is the challenge of balancing advanced AI capabilities with constraints such as power consumption and thermal management in mobile devices.
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In May 2023, IBM Watson technology was integrated into SAP solutions to offer new AI-driven insights. This was planned to speed up the innovation and generate more efficient and effective user experiences across the SAP solution portfolio.
(Source: https://www.ibm.com/watson)
Top Companies Market Share in Mobile Artificial Intelligence Industry: (In no particular order of Rank)
If any Company(ies) of your interest has/have not been disclosed in the above list then please let us know the same so that we will check the data availability in our database and provide you the confirmation or include it in the final deliverables.
According to Cognitive Market Research, North America dominated the market in 2024. It accounted for around 40% of the global revenue due to its robust technological infrastructure, strong investment in AI research and development, and presence of leading mobile device manufacturers and technology companies. Additionally, North America boasts a large consumer base with high smartphone penetration, driving demand for AI-powered mobile applications and services. The region's supportive regulatory environment and ecosystem of startups and innovation hubs further contribute to its dominance in the Mobile AI market.
Asia-Pacific stands out as the fastest-growing region in the Mobile Artificial Intelligence market due to its large population base and rapidly expanding smartphone adoption rates, particularly in emerging economies like China and India. Moreover, increasing investments in AI research and development, coupled with favorable government initiatives to promote digitalization and innovation, are driving the growth of the Mobile AI market in the region. Additionally, the presence of leading technology companies and rising demand for AI-powered applications across various industries further contribute to the rapid expansion of Mobile Artificial Intelligence in Asia Pacific.
The current report Scope analyzes Mobile Artificial Intelligence Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
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Global Mobile Artificial Intelligence Market Report 2025 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing Mobile Artificial Intelligence Industry growth. Mobile Artificial Intelligence market has been segmented with the help of its Technology , Application , and others. Mobile Artificial Intelligence market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
The Mobile Artificial Intelligence market is typically segmented by Technology , which play a significant role in determining the structure and growth potential of the industry. Understanding the market by Technology allows businesses to focus on specific product categories that are likely to perform the best in the coming years. By understanding the performance and demand trends of each type, companies can target the most lucrative segments, innovate within specific categories, and develop products or services that align with the needs of their target customers. Analyzing the growth patterns by type helps to pinpoint which segments are most likely to grow at an accelerated pace and which ones might experience slower or stagnant growth.
Technology of Mobile Artificial Intelligence analyzed in this report are as follows:
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According to Cognitive Market Research, the smartphone is the dominating category as it serves as the primary interface for users to access AI-powered features and services on the go. These applications leverage AI algorithms for tasks such as voice recognition, image processing, virtual assistants, and personalized recommendations, enhancing user experiences and productivity. With the widespread adoption of smartphones globally, developers prioritize integrating AI technologies into their applications to differentiate offerings and meet evolving consumer demands for intelligent and intuitive mobile experiences. Consequently, the proliferation of AI-driven smartphone applications drives the growth and significance of the Mobile Artificial Intelligence market.
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Research associate at Cognitive Market Research
Swasti Dharmadhikari, an agile and achievement-focused market researcher with an innate ardor for deciphering the intricacies of the Service & Software sector. Backed by a profound insight into technology trends and consumer dynamics, she has committed herself to meticulously navigating the ever-evolving terrain of digital Services and software solutions.
Swasti an agile and achievement-focused market researcher with an innate ardor for deciphering the intricacies of the Service & Software sector. Backed by a profound insight into technology trends and consumer dynamics, she has committed herself to meticulously navigating the ever-evolving terrain of digital Services and software solutions.
In her current role, Swasti manages research for service and software category, leading initiatives to uncover market opportunities and enhance competitive positioning. Her strong analytical skills and ability to provide clear, impactful findings have been crucial to her team’s success. With an expertise in market research analysis, She is adept at dissecting complex problems, extracting meaningful insights, and translating them into actionable recommendations, Swasti remains an invaluable asset in the dynamic landscape of market research.
Our study will explain complete manufacturing process along with major raw materials required to manufacture end-product. This report helps to make effective decisions determining product position and will assist you to understand opportunities and threats around the globe.
The Global Mobile Artificial Intelligence Market is witnessing significant growth in the near future.
In 2023, the 7 nm segment accounted for noticeable share of global Mobile Artificial Intelligence Market and is projected to experience significant growth in the near future.
The Smartphones segment is expected to expand at the significant CAGR retaining position throughout the forecast period.
Some of the key companies Qualcomm Inc , Intel Corporation and others are focusing on its strategy building model to strengthen its product portfolio and expand its business in the global market.
Please note, we have not disclose, all the sources consulted/referred during a market study due to confidentiality and paid service concern. However, rest assured that upon purchasing the service or paid report version, we will release the comprehensive list of sources along with the complete report and we also provide the data support where you can intract with the team of analysts who worked on the report.
Disclaimer:
Technology | 7 nm, 10 nm, 20-28 nm, Others |
Application | Smartphones, Cameras, Drones, Automobile, Robotics, AR/VR, Others |
List of Competitors | Qualcomm Inc, Nvidia, Intel Corporation, IBM Corporation, Microsoft Corporation, Apple Inc, Huawei (Hisilicon), GoogleLLC, Mediatek, Samsung, Cerebras Systems, Graphcore, Cambricon Technology, Shanghai Thinkforce Electronic Technology Co. Ltd |
This chapter will help you gain GLOBAL Market Analysis of Mobile Artificial Intelligence. Further deep in this chapter, you will be able to review Global Mobile Artificial Intelligence Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
This chapter will help you gain North America Market Analysis of Mobile Artificial Intelligence. Further deep in this chapter, you will be able to review North America Mobile Artificial Intelligence Market Split by various segments and Country Split.
Chapter 2 North America Market Analysis
This chapter will help you gain Europe Market Analysis of Mobile Artificial Intelligence. Further deep in this chapter, you will be able to review Europe Mobile Artificial Intelligence Market Split by various segments and Country Split.
Chapter 3 Europe Market Analysis
This chapter will help you gain Asia Pacific Market Analysis of Mobile Artificial Intelligence. Further deep in this chapter, you will be able to review Asia Pacific Mobile Artificial Intelligence Market Split by various segments and Country Split.
Chapter 4 Asia Pacific Market Analysis
This chapter will help you gain South America Market Analysis of Mobile Artificial Intelligence. Further deep in this chapter, you will be able to review South America Mobile Artificial Intelligence Market Split by various segments and Country Split.
Chapter 5 South America Market Analysis
This chapter will help you gain Middle East Market Analysis of Mobile Artificial Intelligence. Further deep in this chapter, you will be able to review Middle East Mobile Artificial Intelligence Market Split by various segments and Country Split.
Chapter 6 Middle East Market Analysis
This chapter will help you gain Middle East Market Analysis of Mobile Artificial Intelligence. Further deep in this chapter, you will be able to review Middle East Mobile Artificial Intelligence Market Split by various segments and Country Split.
Chapter 7 Africa Market Analysis
This chapter provides an in-depth analysis of the market share among key competitors of Mobile Artificial Intelligence. The analysis highlights each competitor's position in the market, growth trends, and financial performance, offering insights into competitive dynamics, and emerging players.
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
This chapter would comprehensively cover market drivers, trends, restraints, opportunities, and various in-depth analyses like industrial chain, PESTEL, Porter’s Five Forces, and ESG, among others. It would also include product life cycle, technological advancements, and patent insights.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Technology Analysis 2019 -2031, will provide market size split by Technology . This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Technology Analysis 2021 - 2033
The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 11 Market Split by Application Analysis 2021 - 2033
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Mobile Artificial Intelligence market
Chapter 12 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Chapter 13 Research Methodology and Sources
Why 7 nm have a significant impact on Mobile Artificial Intelligence market? |
What are the key factors affecting the 7 nm and 10 nm of Mobile Artificial Intelligence Market? |
What is the CAGR/Growth Rate of Smartphones during the forecast period? |
By type, which segment accounted for largest share of the global Mobile Artificial Intelligence Market? |
Which region is expected to dominate the global Mobile Artificial Intelligence Market within the forecast period? |
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Region level Data Customization |
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Country level Data Customization |
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Company Level |
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Additional Data Analysis |
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Additional Qualitative Data |
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Additional Quantitative Data |
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Service Level Customization |
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