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Mobile AI Market Share

ID: MRFR//5315-HCR | 100 Pages | Author: Shubham Munde| May 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.

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 2022-2030. 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

In May 2024, Krutrim, an AI firm founded by Ola, introduced its mobile app and granted access to its cloud platform. This move signifies Krutrim's increased determination to compete with prominent GenAI and cloud providers including ChatGPT, Google Gemini, AWS, Google Cloud, and Microsoft Azure. Krutrim, a company focused on advancing comprehensive AI capabilities, released its Android application on May 4th following the successful introduction of the Krutrim chatbot open beta in February. Utilizing Krutrim's proprietary large language model (LLM), the assistant possesses the ability to comprehend and provide answers to inquiries in more than 10 Indian languages. It facilitates operations such as reserving taxis, creating reminders, and generating content without the need to jump between applications. The business has trained its language model on more than 2 trillion tokens, with a significant focus on Indic languages. Development of features such as voice assistant capabilities and integration of numerous data kinds is now underway. Krutrim also has plans to provide computer vision, natural language processing, and generative AI models in the near future.

In April 2024, Adobe, a software company based in the United States, released the Express mobile app. This app has artificial intelligence capabilities that are driven by Adobe's Firefly AI model. The new Adobe Express mobile app contains advanced artificial intelligence capabilities, including Text to Image, Text to Template, Generative fill, and other functionalities. The newly released Adobe Express mobile application is now accessible for free on Android and iOS devices globally, via the Google Play Store and Apple App Store, respectively. Users must create an Adobe Express account within the app in order to access and utilize the features. Existing users can log in using their Adobe account. The new app does not presently have access to data from the prior version. Nevertheless, Adobe provides the capability to migrate data or revert to the prior version of the application. Users can utilize text prompts to build customizable templates for various purposes such as social media postings, flyers, posters, and more, similar to the functionality provided by Text to Images. The process involves utilizing a variety of available text fonts, stock photos, and AI-generated images to develop a template that meets specific requirements.

Mobile AI Companies

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