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Mobile AI Market Share

ID: MRFR//5315-HCR | 100 Pages | Author: Shubham Munde| November 2024

In the unique scene of the mobile AI market, organizations utilize different piece of the pie situating methodologies to acquire an upper hand. One pervasive methodology includes separation, where organizations try to recognize their contributions from rivals through interesting elements or functionalities. For example, an organization could foster a AI driven versatile collaborator that succeeds in grasping normal language, giving an unrivaled client experience. By featuring these particular highlights, organizations plan to draw on a particular fragment of the market, situating themselves as pioneers in that specialty.

Another compelling procedure includes cost initiative, where organizations center around giving Mobile AI arrangements at a lower cost than contenders without compromising quality. This approach requests to cost delicate shoppers and empowers organizations to catch a bigger piece of the pie. By accomplishing economies of scale and improving functional effectiveness, organizations can offer cutthroat evaluating, making their items more open to a more extensive client base.

In addition, in the Mobile AI industry, market share positioning frequently involves concentrating on particular industries or demographics. Organizations might fit their artificial intelligence answers for address the exceptional requirements of specific client gatherings or verticals, like medical services, money, or schooling. By understanding the particular necessities of these portions, organizations can situate themselves as trained professionals, acquiring believability and trust inside designated markets.

Joint effort and organizations likewise assume a crucial part in a piece of the pie situating inside the mobile AI space. Organizations might frame collusions with cell phone producers, portable application designers, or other innovation firms to coordinate their AI arrangements flawlessly into existing biological systems. This strategy not only broadens Mobile AI's reach but also improves interoperability, providing users with a more comprehensive and integrated experience. Through essential joint efforts, organizations can use each other's assets to cement their situations on the lookout.

In addition, maintaining and expanding market share in the rapidly expanding Mobile AI sector necessitates constant innovation. Organizations put resources into innovative work to remain in front of mechanical progressions, guaranteeing their answers stay forefront and pertinent. Companies can position themselves as pioneers in their industry and attract tech-savvy customers by regularly introducing new features, updates, and enhancements.

Notwithstanding item situated systems, powerful promoting and brand situating are essential parts of piece of the pie achievement. Organizations put resources into building areas of strength for a picture, underlining trust, dependability, and consumer loyalty. Through essential showcasing efforts, organizations can make a positive view of their mobile AI arrangements, impacting customers' buying choices and cementing their market presence.

Piece of the pie situating methodologies in the market are different and dynamic. Separation, cost administration, designated center around socioeconomics or ventures, joint effort, development, and powerful showcasing all add to an organization's capacity to cut out a particular space in this serious scene. As innovation keeps on propelling, organizations should adjust their techniques to remain pertinent and meet the developing necessities of purchasers, guaranteeing areas of strength for a feasible piece of the pie position in the mobile AI area.

Covered Aspects:

Report Attribute/Metric	Details
Base Year For Estimation	2023
Forecast Period	2024-2032
Growth Rate	24.25%

Mobile AI Market Highlights:

Mobile AI Market Trends

Mobile AI Market Analysis

Mobile AI Market Share

Mobile AI Companies

Mobile AI Market Overview

The Mobile AI market is expected to generate a market value of USD 80.5 Billion by 2030 growing at a 24.25% CAGR during the forecast period 2024-2032. Mobile devices provide convenience in accessing information and services using email, web, apps, and multimedia features while artificial intelligence uses algorithms and cognitive functions to build a system which can perform tasks and functions similar to humans.

The combination of both enables the mobile phone to improve its capabilities beyond its basic features by increasing its computational power. Mobile phones are constantly becoming faster, better, cheaper, and reliable. Mobile phone thus has become a widely adopted consumer electronic device, which when integrated with AI capabilities enhances the user experience. Al algorithms use a large amount of data to learn and train the AI models which gives mobile phones, an ability to predict the users’ behavior and take actions accordingly on their behalf. AI chipsets are being used to increase the computational power of mobile devices and make them run AI-enabled applications.

Mobile AI Market

Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review

The increasing demand for on-device AI processing is driving the growth of mobile AI market. AI-enabled processors help mobile devices to better process machine learning tasks, gain performance, and energy saving features which boost the user experience. This has led to an increase in demand for on-device AI processing. For instance, Apple’s A11 Bionic chip, which is an AI-enabled chip with neural engine used in their latest iPhone X, adding the high accuracy face locking feature for mobile security. The investments for on-device AI enabled processors are increasing, which is supporting advanced algorithms for building deep learning systems. The rising mobile AI application is also driving the mobile AI market towards growth. The mobile apps are build using AI algorithms that are being applied to nearly everything user does — buying a product, interacting with virtual assistant on the smartphone, watching a film and others. These applications can predict what user will do next and take required actions on his behalf which aids in delivering a unique experience to the users. This results in increasing demand for mobile AI applications. However, the mobile AI processors are expensive which restrains the market growth as these processors can only be used in premium mobile devices.

Market Segmentation

Mobile AI market study aims at different segments such as mobile platform, application, vertical, regions and estimating market growth across these segments

By mobile platform, the market is segmented into Android, iOS, and Windows.

By application, the market is segmented into virtual assistant, navigation, camera, chatbots, drones, and others.

By vertical, the market is segmented into healthcare, finance, education, travel & tourism, media & entertainment, and others.

Regional Analysis

The global market for mobile AI is estimated to grow at a significant rate during the forecast period from 2018 to 2023. The geographical analysis of mobile AI market is done for North America, Europe, Asia-Pacific, and the rest of the world.

Asia-Pacific is expected to be the fastest growing market for mobile AI due to large number of mobile manufacturers present in this region, which manufacture on-device AI processors. Also, the major investments for research and development in the field of AI helps the market to grow, paving the way for business expansion opportunities in the market.

North America is expected to dominate the market of mobile AI during the forecast period since the companies are adopting various technologies to integrate artificial intelligence in the smartphones. Moreover, this region consists of major key players such as NVIDIA Corporation, IBM Corporation, Qualcomm, and others which is expected to drive the growth of mobile AI market in this region.

The prominent players in the mobile AI market are,

Apple Inc (US)

NVIDIA (US)

Samsung Electronics (South Korea)

Huawei (China)

Amazon Inc (US)

Qualcomm (US)

Intel Corporation (US)

IBM Corporation (US)

Microsoft Corporation (US)

Google Inc (US)

MediaTek (Taiwan)

Graphcore (UK)

Recent Devlopment in Mobile AI Market

IBM Watson technology was integrated into SAP® solutions to provide new AI-driven insights in May 2023. This is aimed at speeding up the process of innovation and making user experiences across the entire SAP portfolio more efficient and effective.

Telefónica, Ericsson, and Qualcomm launched the first commercial mobile 5G mmWave network in Spain in February 2023. The use of the 5GmmWave spectrum allows for high speeds & large capacity as well as providing an optimal experience of the most advanced level of such a kind that could be obtained in those areas with literally no room for further growth where it would open up fresh grounds for advancement within mobile AI field.

The Snapdragon 7+ Gen 2 Mobile Platform by Qualcomm Technologies, Inc., introduced in March 2023, has unlocked premium experiences exclusive to the Snapdragon 7 series. It is through its outstanding CPU and GPU functions that this snapdragon 7 + gen2 makes possible things like quick low light photography, fast uninterrupted gaming, smooth AI-enhanced experiences, as well as rapid Wi-Fi networking or even superfast networking, which are all made possible by this great feature set offered by this unique also method of doing these things and also it really enhances segment growth.

In February 2023, Qualcomm unveiled an AI-based video conferencing solution that immerses you even more deeply right into mixed-reality hybrid video conferencing sessions.

Microsoft Corp. and Avaya expanded their global partnership in May 2022. The integration of Avaya OneCloud portfolio with Microsoft Azure brings about increased productivity and customer engagement options for companies merging these platforms. The cooperation offers unparalleled dependability, flexibility, and scalabilityTorexceed current demands from the mobile Artificial Intelligence market.

Nvidia Corp. showcased new hardware and software capable of handling complex AI algorithms significantly faster in March 2022. Some highlights include the H100 chip and a central processor chipset called CPU Superchip based on Arm Ltd.’s technology—a British chip manufacturer whose new graphics processing units (GPUs) were presented in detail and will be the foundation of AI infrastructure. This is Nvidia’s first Arm-based chip after its failed deal to acquire Arm last month.

Mobile AI Companies

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