Mobile Artificial Intelligence (AI) Market Size, Share, Growth Analysis, By Technology Node(7nm, 10nm, 20-28nm, Others), Application(Smartphones, Cameras, Drones, Automobile, AR/VR, Robotics, Others), and Region - Industry Forecast 2024-2031


Report ID: SQMIG45A2310 | Region: Global | Published Date: June, 2024
Pages: 197 |Tables: 70 |Figures: 75

Mobile Artificial Intelligence (AI) Market Insights

Mobile Artificial Intelligence (AI) Market size was valued at USD 13.4 billion in 2022 and is poised to grow from USD 17 billion in 2023 to USD 114.36 billion by 2031, growing at a CAGR of 26.9% in the forecast period (2024-2031). 

Surging popularity and usage of artificial intelligence on a global level is the key factor promoting the demand for mobile artificial intelligence solutions in the future. AI is expected to drive the next generation in different sectors by working autonomously without the intervention of humans. Mobile artificial intelligence provides on-device mobile access to Artificial Intelligence capabilities irrespective of internet connectivity. Development of smarter and faster AI chips are also creating new opportunities for mobile artificial intelligence solution providers going forward. High investments in the research and development of novel AI solutions and services are also slated to boost market growth over the coming years. Manufacturers and companies are increasingly adopting AI with enhanced features in which cloud computing plays a major role for the development of the AI technology. Rapidly increasing use and proliferation of smart devices and smartphones around the world is also contributing to mobile artificial intelligence (AI) market growth. The rise in the incomes of the middle-class have also contributed towards the adoption of smartphones as the sales have been increased due to this factor. Manufacturers are taking this seriously as consumers are spending more time on their smartphones which propels manufacturers for the advancements in mobile AI market. Development of new and advanced AI algorithms is also estimated to generate revenue for mobile artificial intelligence (AI) providers. On the contrary, device compatibility and data security concerns are estimated to hamper the adoption of mobile artificial intelligence (AI) going forward.

Market Snapshot - 2024-2031

Global Market Size

USD 13.4 billion

Largest Segment

Smartphones

Fastest Growth

AR/VR

Growth Rate

26.9% CAGR

Global Mobile Artificial Intelligence (AI) Market ($ Bn)
Country Share for North America Region (%)

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Mobile Artificial Intelligence (AI) Market Segmental Analysis

Global mobile artificial intelligence (AI) market is segmented based on technology node, application, and region. In terms of technology node, the market is segmented into 7 nm, 10nm, 20-28nm, and others. Based on application, the market is bifurcated into smartphones, cameras, drones, automobile, robotics, AR/VR, and others (smart boards, laptops, PCs). Based on region, the market is segmented into North America, Asia Pacific, Europe, Latin America, and Middle East and Africa.

Mobile Artificial Intelligence (AI) Market Analysis by Technology Node 

The 10nm is the largest segment by component of the global mobile artificial intelligence (AI) market and is holding about 43% of the revenue share. Manufacturers are increasingly using 10 nm technology. These AI enabled processors provide improvements in power efficiency which drives consumers attention. They also offer budget friendly mid-range smartphones with AI capabilities which is driving its adoption. Innovations and advancements in this segment are also propelling the market growth. For instance, Intel has also produced 10 nm node technology that depends on 13-layer metallization stack and FinFET transistors. 

On the other hand, the 7nm is the fastest-growing segment in this market and is experiencing 31.3% CAGR growth during the forecasted period. The long stepover efficiency, performance and transistor density in AI applications in mobile devices is aligning with the consumers demand which is contributing towards the growth of this segment. Furthermore, the speed and accuracy provided by the 7nm technology is enhancing its growth. For instance, Qualcomm has made and is delivering parts made with 7nm technology for its snapdragon chips. 

Mobile Artificial Intelligence (AI) Market Analysis by Application

The smartphones segment is the largest segment by share and is projected to account for a about 35.6% share of the global mobile artificial intelligence (AI) market. Rapidly surging sales of smartphones and growing use of different AI-based applications in them are contributing to the dominance of this segment. In smartphones, AI provides features such as digital assistants. High use of these digital assistants in smartphones is also slated to promote mobile artificial intelligence (AI) demand. 

On the other hand, the AR/VR segment is the fastest growing segment in this market. Demand for mobile artificial intelligence (AI) for AR/VR/MR applications is projected to surge at a robust pace over the coming years. VR is used in various fields like IoT, cryptocurrency chips, home systems, and industry 4.0. This helps in enhancing these applications, especially gaming, thus boosting market growth. These Increasing use of AR and VR technology for training and simulation applications is anticipated to help this segment expand at a rapid CAGR going forward.

Global Mobile Artificial Intelligence (AI) Market By Application

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Mobile Artificial Intelligence (AI) Market Regional Insights

North America is the largest region and is holding about 30% of the substantial share of the global mobile artificial intelligence (AI) market. High adoption of AI technology in almost all industry verticals and the presence of key mobile artificial intelligence (AI) providers are factors that help this region maintain its dominance in the global landscape. The United States is predicted to be at the forefront of mobile artificial intelligence (AI) demand in North America across the forecast period. Rise in adoption of automation and Internet of Things (IoT) is also slated to benefit mobile artificial intelligence (AI) market growth through 2031. 

On the other hand, the Asia-Pacific region is the fastest growing region. High sales of consumer electronics and growing use of AI at the same time allow Asia Pacific region to become the fastest-growing market in the world going forward. Rising use of industrial robots and automation in the manufacturing sector of this region is also estimated to bolster the demand for mobile artificial intelligence (AI) solutions over the coming years. China, Japan, and India are estimated to be the leading markets for mobile artificial intelligence (AI) companies in the long run.

Global Mobile Artificial Intelligence (AI) Market By Region
  • Largest
  • Fastest

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Mobile Artificial Intelligence (AI) Market Dynamics

Mobile Artificial Intelligence (AI) Market Drivers

High Sales of Smartphones Driving Market Growth 

  • Smartphones are the primary users of mobile artificial intelligence (AI) technology and an increase in their sales around the world is projected to benefit mobile artificial intelligence (AI) market growth over the coming years. These smart camera features and intelligent assistants are further propelling the growth. Consumers are preferring mobile phones which have integrated AI, thus driving the growth. 

Advancements in AI Platforms is Propelling Sales  

  • Mobile artificial intelligence platforms, software, hardware, and services are all developing at a rapid pace and this trend is projected to boost mobile artificial intelligence (AI) adoption in the future. This helps in the recognition off the potentials of AI Indus smartphones, contributing towards its widespread presence and utilization in the upcoming future. 

Mobile Artificial Intelligence (AI) Market Restraints 

Device Compatibility Issues Hindering the Market 

  • Certain mobile artificial intelligence (AI) platforms and software are not accessible and compatible with all mobile devices and need to be optimized for further use. These compatibility issues are projected to hamper market growth going forward. For addressing these challenges requires a lot of efforts in optimizing AI solutions across mobile devices, therefore hindering the market. 

Data Security and Privacy Concerns in Mobile AI Market 

  • Rapidly evolving cyber threat landscape has put all security and privacy measures in question recently and this is applicable to all mobile artificial intelligence (AI) solutions as well. This uncertainty has driven the attention towards the risks related to AI like breaches and intrusions. Concerns regarding data privacy and security are slated to impede market growth in the long run.

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Mobile Artificial Intelligence (AI) Market Competitive Landscape

Mobile artificial intelligence (AI) companies should focus on innovation and launch new products that stand out from the competition. Mobile artificial intelligence (AI) companies can also focus on collaborations and partnerships to fast track the development of novel AI algorithms and AI hardware in the future. Mergers and acquisitions are also slated to be key strategies for mobile artificial intelligence (AI) market players looking to maximize their market share and presence.

Mobile Artificial Intelligence (AI) Market Top Player’s Company Profiles

  • Google LLC (Alphabet Inc.) (US)  
  • Graphcore (UK)  
  • IBM  
  • NVIDIA CORPORATION (US)  
  • Cambricon Technology (China)  
  • Qualcomm Technologies Inc. (US)  
  • Sambanova Systems (US)  
  • Rockchip (Fuzhou Rockchip Electronics Co., Ltd.) (China)  
  • DataRobot, Inc. (US)  
  • INTEL CORPORATION (US)  
  • Cerebras Systems (US)  
  • MICROSOFT CORPORATION (US)  
  • Apple Inc. (US)  
  • Kneron (US)  
  • Huawei Technologies Co., Ltd. (China)  
  • MediaTek Inc. (Taiwan)  
  • Shanghai Thinkforce Electronic Technology Co., Ltd (China)  
  • Samsung Electronics (South Korea)  
  • Deephi Tec (US)  
  • AIBrain (US)

Mobile Artificial Intelligence (AI) Market Recent Developments

  • In January 2024, Samsung, a leading South Korean consumer electronics company, announced the launch of Galaxy AI with its new flagship smartphone series S24. This new mobile AI service offered by Samsung will help its users navigate daily tasks in a much more efficient manner. 

  • In April 2024, Adobe, a leading software company based in the United States, launched a new mobile app that uses generative AI to create content. Adobe Express mobile application can design and share social media posts. 

  • In April 2024, Motorola, a renowned consumer electronics provider, announced the launch of its first AI-capable smartphone. Motorola Edge 50 Pro is powered by Snapdragon 7 Gen 3 SoC.

Mobile Artificial Intelligence (AI) Key Market Trends

  • Personalized AI Solutions

    Mobile artificial intelligence (AI) providers need to provide personalized products and services to stand out from the competition and gain a competitive advantage in the future. Manufacturers are increasingly advancing the AI technologies in mobile phones. This data-driven approach meets the consumers' demand, propelling its growth. Companies can achieve this by using advanced analytics to analyze user data and use those insights to develop personalized AI solutions. The integration of advanced analytics into their operations helps the manufacturers in enhancing their competitive position.  Through this, companies can refine their offerings and customize their solutions according to the consumer needs. Therefore, embracing personalized AI solutions leads to market growth. 

Mobile Artificial Intelligence (AI) Market SkyQuest Analysis

SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, 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. The increase in demand for real-time speech and voice recognition is driving the market. Furthermore, technological advancement in image recognition is also driving the market. The market is spread across different verticals like automotives, smartphones, drones and robotics. The rapid increase in the use of drones aligns with the market growth also. The smartphone segment is holding the highest share as the sales and demand of them are increasing rapidly whereas AR/VR segment is quickly growing as there is ongoing trend in the gaming zones and others of virtually experiencing different things. Rapid adoption of advanced technologies and presence of key mobile artificial intelligence (AI) companies allows North America to account for a dominant market share. Asia Pacific is growing at a quick pace. One major trend is the increase in demand for personalized AI solutions which helps in meeting the consumer requirements. 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 2022 USD 13.4 billion
Market size value in 2031 USD 114.36 billion
Growth Rate 26.9%
Base year 2023
Forecast period 2024-2031
Forecast Unit (Value) USD Billion
Segments covered
  • Technology Node
    • 7 nm, 10nm, 20-28nm, Others
  • Application
    • Smartphones, Cameras, Drones, Automobile, Robotics, AR/VR, Others (Smart Boards, Laptops, PCs)
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
  • Google LLC (Alphabet Inc.) (US)  
  • Graphcore (UK)  
  • IBM  
  • NVIDIA CORPORATION (US)  
  • Cambricon Technology (China)  
  • Qualcomm Technologies Inc. (US)  
  • Sambanova Systems (US)  
  • Rockchip (Fuzhou Rockchip Electronics Co., Ltd.) (China)  
  • DataRobot, Inc. (US)  
  • INTEL CORPORATION (US)  
  • Cerebras Systems (US)  
  • MICROSOFT CORPORATION (US)  
  • Apple Inc. (US)  
  • Kneron (US)  
  • Huawei Technologies Co., Ltd. (China)  
  • MediaTek Inc. (Taiwan)  
  • Shanghai Thinkforce Electronic Technology Co., Ltd (China)  
  • Samsung Electronics (South Korea)  
  • Deephi Tec (US)  
  • AIBrain (US)
Customization scope

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  • Company profile
  • Market dynamics & outlook
  • Region

 

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Table Of Content

Executive Summary

Market overview

  • Exhibit: Executive Summary – Chart on Market Overview
  • Exhibit: Executive Summary – Data Table on Market Overview
  • Exhibit: Executive Summary – Chart on Mobile Artificial Intelligence (AI) Market Characteristics
  • Exhibit: Executive Summary – Chart on Market by Geography
  • Exhibit: Executive Summary – Chart on Market Segmentation
  • Exhibit: Executive Summary – Chart on Incremental Growth
  • Exhibit: Executive Summary – Data Table on Incremental Growth
  • Exhibit: Executive Summary – Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • SWOT Analysis

KEY MARKET INSIGHTS

  • Technology Analysis
    • (Exhibit: Data Table: Name of technology and details)
  • Pricing Analysis
    • (Exhibit: Data Table: Name of technology and pricing details)
  • Supply Chain Analysis
    • (Exhibit: Detailed Supply Chain Presentation)
  • Value Chain Analysis
    • (Exhibit: Detailed Value Chain Presentation)
  • Ecosystem Of the Market
    • Exhibit: Parent Market Ecosystem Market Analysis
    • Exhibit: Market Characteristics of Parent Market
  • IP Analysis
    • (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
  • Trade Analysis
    • (Exhibit: Data Table: Import and Export data details)
  • Startup Analysis
    • (Exhibit: Data Table: Emerging startups details)
  • Raw Material Analysis
    • (Exhibit: Data Table: Mapping of key raw materials)
  • Innovation Matrix
    • (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
  • Pipeline product Analysis
    • (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
  • Macroeconomic Indicators

COVID IMPACT

  • Introduction
  • Impact On Economy—scenario Assessment
    • Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
  • Revised Market Size
    • Exhibit: Data Table on Mobile Artificial Intelligence (AI) Market size and forecast 2021-2027 ($ million)
  • Impact Of COVID On Key Segments
    • Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
  • COVID Strategies By Company
    • Exhibit: Analysis on key strategies adopted by companies

MARKET DYNAMICS & OUTLOOK

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • Regulatory Landscape
    • Exhibit: Data Table on regulation from different region
  • SWOT Analysis
  • Porters Analysis
    • Competitive rivalry
      • Exhibit: Competitive rivalry Impact of key factors, 2021
    • Threat of substitute products
      • Exhibit: Threat of Substitute Products Impact of key factors, 2021
    • Bargaining power of buyers
      • Exhibit: buyers bargaining power Impact of key factors, 2021
    • Threat of new entrants
      • Exhibit: Threat of new entrants Impact of key factors, 2021
    • Bargaining power of suppliers
      • Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
  • Skyquest special insights on future disruptions
    • Political Impact
    • Economic impact
    • Social Impact
    • Technical Impact
    • Environmental Impact
    • Legal Impact

Market Size by Region

  • Chart on Market share by geography 2021-2027 (%)
  • Data Table on Market share by geography 2021-2027(%)
  • North America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • USA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Canada
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Europe
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Germany
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Spain
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • France
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • UK
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Europe
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Asia Pacific
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • China
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • India
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Japan
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Korea
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Asia Pacific
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Latin America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Brazil
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of South America
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Middle East & Africa (MEA)
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • GCC Countries
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Africa
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of MEA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)

KEY COMPANY PROFILES

  • Competitive Landscape
    • Total number of companies covered
      • Exhibit: companies covered in the report, 2021
    • Top companies market positioning
      • Exhibit: company positioning matrix, 2021
    • Top companies market Share
      • Exhibit: Pie chart analysis on company market share, 2021(%)

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.

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FAQs

Mobile Artificial Intelligence (AI) Market size was valued at USD 13.4 billion in 2022 and is poised to grow from USD 17 billion in 2023 to USD 114.36 billion by 2031, growing at a CAGR of 26.9% in the forecast period (2024-2031). 

Mobile artificial intelligence (AI) companies should focus on innovation and launch new products that stand out from the competition. Mobile artificial intelligence (AI) companies can also focus on collaborations and partnerships to fast track the development of novel AI algorithms and AI hardware in the future. Mergers and acquisitions are also slated to be key strategies for mobile artificial intelligence (AI) market players looking to maximize their market share and presence. 'Google LLC (Alphabet Inc.) (US)  ', 'Graphcore (UK)  ', 'IBM  ', 'NVIDIA CORPORATION (US)  ', 'Cambricon Technology (China)  ', 'Qualcomm Technologies Inc. (US)  ', 'Sambanova Systems (US)  ', 'Rockchip (Fuzhou Rockchip Electronics Co., Ltd.) (China)  ', 'DataRobot, Inc. (US)  ', 'INTEL CORPORATION (US)  ', 'Cerebras Systems (US)  ', 'MICROSOFT CORPORATION (US)  ', 'Apple Inc. (US)  ', 'Kneron (US)  ', 'Huawei Technologies Co., Ltd. (China)  ', 'MediaTek Inc. (Taiwan)  ', 'Shanghai Thinkforce Electronic Technology Co., Ltd (China)  ', 'Samsung Electronics (South Korea)  ', 'Deephi Tec (US)  ', 'AIBrain (US)'

Smartphones are the primary users of mobile artificial intelligence (AI) technology and an increase in their sales around the world is projected to benefit mobile artificial intelligence (AI) market growth over the coming years. These smart camera features and intelligent assistants are further propelling the growth. Consumers are preferring mobile phones which have integrated AI, thus driving the growth. 

Personalized AI Solutions:  Mobile artificial intelligence (AI) providers need to provide personalized products and services to stand out from the competition and gain a competitive advantage in the future. Manufacturers are increasingly advancing the AI technologies in mobile phones. This data-driven approach meets the consumers' demand, propelling its growth. Companies can achieve this by using advanced analytics to analyze user data and use those insights to develop personalized AI solutions. The integration of advanced analytics into their operations helps the manufacturers in enhancing their competitive position.  Through this, companies can refine their offerings and customize their solutions according to the consumer needs. Therefore, embracing personalized AI solutions leads to market growth. 

North America is the largest region and is holding about 30% of the substantial share of the global mobile artificial intelligence (AI) market. High adoption of AI technology in almost all industry verticals and the presence of key mobile artificial intelligence (AI) providers are factors that help this region maintain its dominance in the global landscape. The United States is predicted to be at the forefront of mobile artificial intelligence (AI) demand in North America across the forecast period. Rise in adoption of automation and Internet of Things (IoT) is also slated to benefit mobile artificial intelligence (AI) market growth through 2031. 

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