USD 13.4 billion
Mobile Artificial Intelligence (AI) Market Size, Share, Growth Analysis, By Technology Node(20–28nm, 10nm, 7nm, and Others), By Application(Smartphones, Cameras, Drones, Automobile), By Component(Hardware, Software, and Services), By 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
Global 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).
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 - 2024-2031
Global Market Size
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
The global mobile artificial intelligence (AI) market is segmented based on technology node, application, component, and region. In terms of technology node, the market is bifurcated into 20–28nm, 10nm, 7nm, and others. Based on application, the market is divided into smartphones, cameras, drones, automotive, robotics, AR/VR, and others. Based on components, the market is segmented into hardware, software, and services. Based on region, the market is segmented into Asia Pacific, North America, Latin America, Europe, and the Middle East and Africa.
Analysis by Component
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.
Analysis by Application
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.
Global Mobile Artificial Intelligence (AI) Market By Component
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Mobile Artificial Intelligence (AI) Market Regional Insights
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.
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
Growing Demand for AI-powered Applications
- 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.
Rise in the Expansion of 5G Technology
- The proliferation of 5G networks is a major driver of the market. 5G technology provides high-speed connectivity and low latency required for advanced AI applications, and powers a seamless and responsive AI experience on mobile devices.
Restraints
Increased Development Costs
- The huge investments required to develop and integrate AI technology into mobile devices can be a barrier for many companies. High R&D costs can restrain market growth, especially for smaller players.
Data Privacy Issues
- Data privacy and security issues are the major restraints in the market. The vast amount of personal data collected and processed by AI applications is raising concerns among consumers and regulators, potentially hampering the widespread adoption of mobile AI technologies.
Limited Use of Power
- Despite the advances, there are still limitations in the capabilities of mobile devices compared to larger dedicated AI systems. These limitations can limit the complexity and capabilities of AI applications on mobile devices, affecting their performance and user satisfaction.
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Mobile Artificial Intelligence (AI) Market Competitive Landscape
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.
Mobile Artificial Intelligence (AI) Market Top Player’s Company Profiles
- 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
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.
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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.
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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
- 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.
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, 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 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 |
|
| 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:-
|
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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
- Exhibit: Impact analysis of DROC, 2021
- 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
- Exhibit: Impact analysis of DROC, 2021
- 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
- Competitive rivalry
- 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(%)
- Total number of companies covered
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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