Mobile Artificial Intelligence Market, by Application Type (Smartphones, Cameras, Drones, Robotics, Automotive, AR/VR), by Technology Node (20–28nm, 10nm, 7nm and Others), and by Region (North America [The USA, Canada, and Mexico], Europe [Germany, France, The U.K., Russia, and Rest of Europe], Asia-Pacific [China, Japan, India, South Korea, and Rest of Asia-Pacific], and Rest of the World [Brazil, Saudi Arabia, Israel, and Others]) - Russia-Ukraine War Impact Analysis and Forecast to 2029.
Mobile Artificial Intelligence Market, by Application Type (Smartphones, Cameras, Drones, Robotics, Automotive, AR/VR), by Technology Node (20–28nm, 10nm, 7nm and Others), and by Region...
The mobile artificial intelligence market was estimated at USD 11.24 billion in 2022 and is likely to grow at a CAGR of 15.2% during 2023-2029 to reach USD 30.30 billion in 2029.
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Market Dynamics
Introduction
Mobile Artificial Intelligence (AI) refers to the use of AI technologies on mobile devices, such as smartphones and tablets. Mobile AI applications can include machine learning algorithms, natural language processing, and computer vision, among others. These technologies enable mobile devices to perform a range of advanced functions, such as voice recognition, image recognition, and language translation.
Market Drivers
In the coming years, virtual assistants and bots are expected to become increasingly prevalent and advanced, enabling employees to be relieved of mundane duties like answering basic inquiries or carrying out repetitive tasks. Amazon has already launched Alexa Shopping and other similar virtual assistants, designed to perform a specific set of functions to simplify everyday life.
The market is being propelled by the surge of cognitive computing and the increasing number of AI applications. Through technologies such as AI and ML, cognitive computing systems can analyze vast amounts of data, derive insights, and utilize them as a learning experience to enhance outcomes.
A growing number of industries and organizations are adopting cognitive solutions to improve their operations in areas such as data volume, insight generation, action planning, and management, leading to increased productivity.
The impact of Artificial Intelligence (AI) is being felt across a range of industries globally and is causing significant disruptions in the IT sector. AI has resulted in remarkable breakthroughs for businesses and their customers alike. With the advent of technological advancements such as virtual assistants, self-driving cars, and chatbots, it is anticipated that AI will transform the way mobile devices are utilized. For a machine to function autonomously, it needs to be capable of comprehending its environment to some degree.
The growth of the market is being propelled by several significant factors, including the proliferation of artificial intelligence applications across various end-user industries and the rising demand for cognitive computing and automation trends. Moreover, with the widespread use of mobile devices for everyday tasks, such as in workplaces, education, and personal use, the need to automate these devices without human intervention is rapidly increasing.
The trend of Bring Your Own Device (BYOD) in workplaces is being spurred by the increasing reliance on mobile devices in the digital era. This, in turn, is driving up the usage of mobile devices. Additionally, the elevated usage of these devices for making critical decisions due to their dependency is further fueling the need for AI in automated decision-making processes.
Moreover, the growth of connected devices due to the Internet of Things (IoT) is amplifying the requirement for AI-assisted control of such devices. Additionally, the market is experiencing growth due to the mounting demand for AI-capable processors and chipsets in these devices. This is because the key aspect of implementing AI in a mobile device is integrating the technology into the chipsets.
Key Players
The following are the key players in the mobile artificial intelligence market:
Smartphone AI processors drive the market growth during the forecast period.
Regional Analysis
North America, Europe, Asia-Pacific, and Rest of the World
North American region is anticipated to hold a substantial market share during the forecast period.
By Application Type
"Smartphone AI processors drive the market growth during the forecast period"
The market for smartphone AI processors is being driven by the increasing need for real-time voice processing and image recognition. Many AI processors come equipped with neural processing units (NPUs) that can carry out parallel processing, cognitive tasks, and consume low power.
On-device AI is gaining popularity, and it is predicted that it will become a common feature in all top-of-the-line smartphones by 2022. Dedicated AI chipsets are being used in most new high-end smartphones, with a specific focus on integrating neural processing units.
Smartphones are increasingly placing a spotlight on AI, and its uses go beyond just digital assistants. Thanks to Edge-AI technology, many of the back-end profiling AI functions can now be shifted to the phone itself.
This means that both Artificial Intelligence (AI) and Machine Learning (ML) are enhancing mobile phone hardware and software, which has significant implications for both marketers and consumers. With every update, life becomes easier thanks to these advancements.
Virtual assistant features are continuously advancing, with some speech recognition capabilities surpassing human listeners, even in noisy environments. As time progresses, virtual assistants are expected to become a more prominent part of the user phone interface, with AI enabling them to understand natural human language more accurately.
Smartphone manufacturers are also projected to implement more sophisticated AI and ML in the future to recognize individuals, even as their facial features change, such as growing a beard or wearing glasses.
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Regional Analysis
"North American region is anticipated to hold a substantial market share during the forecast period"
In terms of demand, the North American region is anticipated to hold a substantial market share, owing to its conducive environment for startups and SMEs with regard to government regulations and compliance. Furthermore, due to the advancements made by these companies, the region is expected to lead in technology adoption and host major AI solution providers for mobile applications, which will drive significant growth in the market during the forecast period.
The US has taken steps to advance breakthroughs in AI technology by promoting federal investment in AI R&D through collaboration with industry, academia, international partners, allies, and other non-federal entities. In FY 2021, the former President of the United States, Donald Trump, proposed doubling non-defense AI R&D funding over two years.
The administration has also updated its AI R&D strategic plan, released progress reports describing the effects of federal R&D investments, and published the first-ever report on non-defense AI R&D spending across the federal government.
Google has made AI an integral part of its core strategy. The company has successfully shifted from a mobile-first to an AI-first approach. AI is integrated into all of Google's everyday apps, including Google search engines, Google Maps, Google Photos, YouTube, and Gmail Smart Reply. Google is driving AI innovation through its technological offerings, including TensorFlow and Cloud AutoML, which assist developers and SMBs in creating cutting-edge solutions through open-source projects.
In addition, the market growth has been bolstered by increasing acquisitions and partnerships between tech giants. Apple has emerged as the leading purchaser of companies in the global artificial intelligence space, surpassing Accenture, Google, Microsoft, and Facebook. Apple has acquired the highest number of AI companies, and the other companies have also increased their number of AI acquisitions.
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Recent Developments
In December 2022, Samsung partnered with Naver to develop next-gen AI chips.
In May 2022, Intel launched seven new mobile processors to the 12th Gen Intel Core mobile family. The processors utilize desktop-caliber silicon in a mobile package and deliver high levels of performance for professional workflows such as CAD, animation, and visual effects.
Research Methodology
This strategic assessment report, from Stratview Research, provides a comprehensive analysis that reflects today’s mobile artificial intelligence market realities and future market possibilities for the forecast period.
The report segments and analyzes the market in the most detailed manner to provide a panoramic view of the market.
The vital data/information provided in the report can play a crucial role for market participants as well as investors in the identification of the low-hanging fruits available in the market as well as to formulate growth strategies to expedite their growth process.
This report offers high-quality insights and is the outcome of a detailed research methodology comprising extensive secondary research, rigorous primary interviews with industry stakeholders, and validation and triangulation with Stratview Research’s internal database and statistical tools.
More than 1,000 authenticated secondary sources, such as company annual reports, fact books, press releases, journals, investor presentations, white papers, patents, and articles, have been leveraged to gather the data.
We conducted more than 15 detailed primary interviews with market players across the value chain in all four regions and industry experts to obtain both qualitative and quantitative insights.
Report Features
This report provides market intelligence in the most comprehensive way. The report structure has been kept such that it offers maximum business value. It provides critical insights into market dynamics and will enable strategic decision-making for existing market players as well as those willing to enter the market. The following are the key features of the report:
Market structure: Overview, industry life cycle analysis, supply chain analysis.
Market environment analysis: Growth drivers and constraints, Porter’s five forces analysis, SWOT analysis.
Market trend and forecast analysis.
Market segment trend and forecast.
Competitive landscape and dynamics: Market share, Service portfolio, New Product Launches, etc.
COVID-19 impact and its recovery curve
Attractive market segments and associated growth opportunities.
Emerging trends.
Strategic growth opportunities for the existing and new players.
Key success factors.
Market Segmentation
This report studies the market covering 12 years of trend and forecast. The report provides detailed insights into the market dynamics to enable informed business decision-making and growth strategy formulation based on the opportunities present in the market
The mobile artificial intelligence market is segmented into the following categories:
By Application Type
Smartphones
Cameras
Drones
Robotics
Automotive
AR/VR
By Technology Node
20–28nm
10nm
7nm
Others
By Region
North America (Country Analysis: The USA, Canada, and Mexico)
Europe (Country Analysis: Germany, France, The UK, Russia, and the Rest of Europe)
Asia-Pacific (Country Analysis: China, India, Australia, South Korea, and the Rest of Asia-Pacific)
Rest of the World (Country Analysis: Saudi Arabia, Brazil, and Others)
Customization Options
With this detailed report, Stratview Research offers one of the following free customization options to our respectable clients:
Company Profiling
Detailed profiling of additional market players (up to three players)
SWOT analysis of key players (up to three players)
Competitive Benchmarking
Benchmarking of key players on the following parameters: product portfolio, geographical reach, regional presence, and strategic alliances
Custom Research: Stratview research offers custom research services across the sectors. In case of any custom research requirement related to market assessment, competitive benchmarking, sourcing and procurement, target screening, and others, please send your inquiry to sales@Stratviewresearch.com
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Mobile Artificial Intelligence (AI) refers to the use of AI technologies on mobile devices, such as smartphones and tablets. Mobile AI applications can include machine learning algorithms, natural language processing, and computer vision, among others. These technologies enable mobile devices to perform a range of advanced functions, such as voice recognition, image recognition, and language translation.
The major players operating in the global mobile artificial intelligence market are Apple, Alphabet (Google), Cambricon Technology, Cerebras Systems, Deephi Tech, Graphcore, Huawei (Hisilicon), IBM, Qualcomm, Nvidia, Intel & others
The major players operating in the global mobile artificial intelligence market are growing number of industries and organizations are adopting cognitive solutions to improve their operations in areas such as data volume, insight generation, action planning, and management, leading to increased productivity.