Mobile Artificial Intelligence Market Analysis | 2023-2029

"The global mobile artificial intelligence market is expected to grow from USD 11.24 billion in 2022 to USD 30.30 billion by 2029 at a CAGR of 15.2% during the forecast period".

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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.

Recent Development 

• 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.

Segment Analysis

By Application Type

"Smartphone Application Drive Market Growth"

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 America to Hold the Largest Market Share"

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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key Players

The following are the key players in the global mobile artificial intelligence market (arranged alphabetically)

• Apple
• Alphabet (Google)
• Cambricon Technology
• Cerebras Systems
• Deephi Tech
• Graphcore
• Huawei (Hisilicon)
• IBM
• Qualcomm
• Nvidia
• Intel
• IBM
• Kneron
• Microsoft
• Mediatek
• Rockchip (Fuzhou Rockchip Electronics Co., Ltd.)
• Samsung
• Shanghai Thinkforce Electronic Technology Co., Ltd(Thinkforce)
• Sambanova Systems
• Thinci

Note: The above list does not necessarily include all the top players in the market.

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Research Methodology

This report provides intelligence most comprehensively. The report structure has been kept such that it offers maximum business value. It provides critical insights into the dynamics and will enable strategic decision-making for the existing players as well as those willing to enter the market.

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Research Methodology

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 the market players across the value chain in all four regions and with industry experts to obtain both qualitative and quantitative insights.

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

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