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人工智能

市場調查報告書

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1630235

行動人工智慧 -市場佔有率分析、產業趨勢/統計、成長預測（2025-2030）

Mobile Artificial Intelligence - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)

出版日期: 2025年01月05日 | 出版商:

Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計行動人工智慧市場在預測期內複合年成長率為28.65%

主要亮點

該市場是由認知計算的興起和人工智慧應用數量的增加所推動的。人工智慧和機器學習等技術允許認知運算系統查看大量資料，找到見解，並利用這些見解來學習和改進。越來越多的行業和組織正在使用認知解決方案來改善業務並提高生產力，包括資料量、洞察生成、行動規劃和管理。
人工智慧 (AI) 已經滲透並顛覆了全球各個最終用戶產業的 IT 產業。人工智慧為企業及其客戶帶來了顯著的突破。隨著虛擬助理、自動駕駛汽車和聊天機器人等技術發展的湧入，人工智慧預計將顛覆我們使用行動裝置的方式。具有一定程度自主運作的機器必須能夠在某種意義上理解周圍的環境。
推動市場成長的關鍵因素是人工智慧應用在各個最終用戶行業的興起以及對認知計算和自動化的需求不斷增加。此外，越來越多的人在日常生活中使用行動設備，包括職場、學校和個人目的。因此，使這些設備自動化變得越來越重要，這樣它們就不需要人工干預。
隨著數位化，對行動裝置的依賴日益增加，職場的 BYOD 趨勢正在刺激行動裝置的使用增加。此外，對行動裝置的日益依賴將增加使用行動裝置來做出關鍵決策，從而進一步加強為這些裝置配備人工智慧以做出自動化決策的需求不斷增加。
此外，透過物聯網連網型設備的增加也增加了對這些設備進行人工智慧輔助控制的需求。為了將人工智慧融入行動裝置中，最重要的是將該技術融入晶片組中。
COVID-19的興起為全球行動人工智慧市場的成長創造了巨大的機會。人工智慧在醫療保健和自我診斷系統中的使用越來越多，刺激了市場需求。

行動人工智慧市場趨勢

智慧型手機應用推動市場成長

隨著越來越多的人需要即時語音處理和影像識別，智慧型手機人工智慧處理器的市場正在擴大。大多數人工智慧處理器都包含額外的神經處理單元 (NPU)，用於處理認知任務、平行工作並消耗更少的電力。裝置端 AI 使用專用的 AI 晶片組，到 2022 年應該會出現在所有頂級智慧型手機中。大多數新型高階智慧型手機都配備了具有專用神經處理單元的人工智慧晶片。
人工智慧正在成為智慧型手機最重要的部分，其用途不僅僅是數位助理。借助Edge-AI技術，許多以前在後端執行的AI功能現在可以在智慧型手機本身上執行。隨著每次更新，人工智慧 (AI) 和機器學習 (ML) 都在使行動電話硬體和軟體變得更好。這會影響負責人和客戶，讓每個人的生活變得更輕鬆。
虛擬助理的能力正在穩步提高。如今，語音辨識即使在擁擠的情況下也能比人類聽得更清楚。隨著時間的推移，虛擬助理將成為使用者手機介面中更重要的部分，人工智慧可能會開始識別使用者提供的自然人類語言。未來幾年，智慧型手機製造商預計將引入更先進的人工智慧和機器學習，根據臉部特徵的變化（例如留鬍鬚或戴眼鏡）來識別人。
此外，全球行動電話普及率的不斷提高也支持了市場的成長。例如，北美的行動電話行動電話用戶。到 2025 年，滲透率預計將成長 2%，達到 3.45 億個人行動用戶。

大型科技公司之間不斷增加的合併和聯盟也正在推動市場成長。蘋果是全球人工智慧領域的主要企業買家。例如，蘋果收購了最多的人工智慧公司，領先埃森哲、Google、微軟和Facebook。所有其他公司的人工智慧收購也有所增加。

預計北美將佔據最大的市場佔有率

就需求而言，北美預計將佔據很大一部分市場，因為在政府法規和合規性方面，北美是新興企業和中小企業開展業務的好地方。此外，隨著這些公司的各種市場發展，該地區預計將在技術採用方面處於領先地位，並成為北美領先的行動人工智慧解決方案提供商的所在地，從而在預測期內增加市場成為重要的驅動力。
美國政府決定與工業界、大學、國際合作夥伴和盟友以及其他非聯邦實體合作，鼓勵聯邦政府對人工智慧研發（R&D）進行投資。這是支援AI技術實現大躍進。 2023 會計年度網路與資訊科技研發 (NITRD) 研發支出為 96 億美元，比 2022 會計年度的要求增加 18 億美元。增補稱，這一成長是由於國防部發布了2023會計年度人工智慧研發經費資訊。
人工智慧已融入Google的核心。該公司已成功從行動優先轉向人工智慧優先。人工智慧已整合到我們日常使用的所有 Google 應用程式中，包括 Google搜尋引擎、Google 地圖、Google Photos、YouTube 和 Gmail 智慧回應。 Google 透過 TensorFlow 和 Cloud AutoML 等技術產品推動人工智慧發展，並透過開放原始碼計劃幫助開發人員和小型企業進行創新。
人工智慧和物聯網在許多行業中變得司空見慣，語音助理和智慧音箱也是如此。因此，該地區對行動人工智慧的需求正在增加。

在北美，醫療保健數位基礎設施的變化、成熟的醫療保健產業以及越來越多的患者了解人工智慧的好處也推動了市場成長。在北美，醫療保健領域對人工智慧的需求將推動幾個主要參與企業進入該市場。

行動人工智慧產業概況

人工智慧由複雜的演算法組成，在當前市場中正在迅速成長。多個行業現在正在採用人工智慧演算法，使複雜的系統更容易使用，從而加劇市場競爭。主要參與企業包括英特爾公司、微軟公司和 Alphabet Inc. (Google LLC)。

2022 年 5 月，致力於人工智慧和深度學習處理器的英特爾資料中心團隊 Habana Labs 宣布發布用於推理和訓練的第二代機器學習處理器 Habana Gaudi2 和 Habana GrecoT。這些新晶片為客戶提供用於訓練和推理部署以及資料中心工作負載的高效能、高效能深度學習運算選項，從而填補了市場空白。它還使各種規模的公司更容易開始使用人工智慧。

2022 年 3 月，Nvidia 公司推出了新的晶片和技術，據稱可以加速日益複雜的人工智慧演算法。該公司宣布了新型圖形晶片 (GPU) 的具體規格，該晶片將成為其人工智慧基礎設施的核心，包括 H100 晶片和名為 Grace CPU Superchip 的新型處理器晶片組，兩者均來自英國晶片製造商基於Arm 技術。這是自上個月收購 Arm 計畫落空以來，Nvidia 首款基於 Arm 的半導體。

其他好處

Excel 格式的市場預測 (ME) 表
3 個月分析師支持

Key Highlights

The rise of cognitive computing and the growing number of AI applications drive the market. With technologies like AI and ML, cognitive computing systems can look at a huge amount of data, find insights, and use those insights to learn and improve. Cognitive solutions are being used by more and more industries and organizations to improve their operations, such as data volume, insight generation, action planning, and management, which increases productivity.
Artificial intelligence (AI) has permeated and disrupted the IT industry across various end-user industries worldwide. AI leads to remarkable breakthroughs for businesses and their customers. With the influx of technological developments such as virtual assistance, self-driving cars, chatbots, etc., AI is expected to disrupt the way mobile devices are used. A machine that operates with a degree of autonomy needs to, in some sense, be able to understand its surroundings.
The main things that are making the market grow are the rise of AI applications in many different end-user industries and the growing demand for cognitive computing and automation.Also, more and more people are using mobile devices in their daily lives, such as at work, in school, and for personal use. This makes it more important to automate these devices so they don't need human help.
With digitization, the dependence on mobile devices is increasing BYOD trends in the workplace, stimulating an increase in the use of mobile devices. Also, the increased usage of mobile devices to make important decisions due to the increased dependency on these devices is further stimulating the need for AI in these devices to make automated decisions.
Furthermore, the growth of connected devices due to IoT is augmenting the need for AI-assisted control of these devices. The market is also growing because more and more people want processors and chipsets in these devices that can handle AI.This is because putting AI into a mobile device is most important when it comes to integrating the technology into the chipsets.
The rise of COVID-19 created huge opportunities for the growth of the mobile AI market worldwide. The increasing use of AI in health care and self-diagnosis systems boosted the market's demand.

Mobile Artificial Intelligence Market Trends

Smartphone Application Drive Growth of The Market

The market for smartphone AI processors is growing because more and more people want real-time voice processing and image recognition. Most AI processors have extra built-in neural processing units (NPUs) that can do cognitive tasks, work in parallel, and use little power. On-device AI uses AI-specific chipsets, and by 2022, all top-of-the-line smartphones should have them. Most new high-end smartphones include AI chips with a dedicated neural processing unit.
AI is becoming the most important part of smartphones, and it can be used for a lot more than just digital assistants. With Edge-AI technology, many AI functions that used to be done on the back end can now be done on the phone itself. With each update, artificial intelligence (AI) and machine learning (ML) make hardware and software for mobile phones better. This affects marketers and customers and makes life easier for everyone.
The features of the virtual assistant are steadily improving. Some speech recognition now provides a greater understanding than a human listener, even in crowded conditions. Over time, virtual assistants are likely to become a much more significant part of the user's phone interface, and AI will identify the natural human language the user provides. In the coming years, smartphone manufacturers are expected to implement even more advanced AI and ML to identify people as their facial features change, such as growing a beard or wearing glasses.
Moreover, the growing penetration of cell phones worldwide is also helping the market grow. For example, the mobile penetration in North America had 321 million unique mobile subscribers. By 2025, the penetration rate will increase by 2% to 345 million individual mobile subscribers.

A growing number of mergers and partnerships between big tech companies also helped the market grow. Apple is the leading buyer of companies in the global artificial intelligence space. For instance, Apple acquired the most AI companies, defeating Accenture, Google, Microsoft, and Facebook. All of the other companies also had an increased number of AI acquisitions.

North America to Occupy the Largest Market Share

North America is expected to make up a big part of the market in terms of demand since it is a good place for startups and SMEs to do business in terms of government regulations and compliance. Also, due to various developments made by these companies, the region is expected to lead in technology adoption and be home to major AI solution providers for mobile applications based in North America, hence driving the market to grow significantly in the forecast period.
The U.S. government has decided to encourage federal investment in AI research and development (R&D) in partnership with industry, universities, international partners and allies, and other non-federal entities.This is to help AI technology make big leaps forward. Networking and Information Technology Research and Development (NITRD) is getting USD 9.6 billion for research and development in FY 2023, which is USD 1.8 billion more than what was asked for in FY 2022. According to the supplement, the rise is because the Department of Defense will release information about funding for AI research and development in FY 2023.
AI is built into Google's core. The company successfully transitioned from a mobile-first to an AI-first world. AI is integrated into all Google apps we use daily, including Google search engines, Google Maps, Google Photos, YouTube, and Gmail Smart Reply. Google is driving AI through its technological offerings, such as TensorFlow and Cloud AutoML (to name a few), and assisting developers and SMBs in innovating through open-source projects.
Artificial intelligence and the internet of things are becoming more common in many industries, and voice assistants and smart speakers are becoming more popular. This is increasing the need for mobile AI in the area.

In North America, the growth of the market is also due to the changing digital infrastructure in healthcare, a well-established healthcare sector, and more patients learning about the benefits of AI. In North America, the need for artificial intelligence in healthcare is likely to push several key players into the market.

Mobile Artificial Intelligence Industry Overview

The artificial intelligence (AI) market for mobile devices is very fragmented because there are many players in most parts of the world.Artificial intelligence consists of complex algorithms, which are increasing rapidly in the current market. Nowadays, several industries adopt artificial intelligence-algorithms that are easy to access for complex systems, creating intense competition in the market. Key players are Intel Corporation, Microsoft Corporation, Alphabet Inc. (Google LLC), etc.

In May 2022, Habana Labs, Intel's data center team that works on AI and deep learning processors, announced the release of Habana Gaudi2 and Habana GrecoT, its second-generation machine-learning processors for inference and training.These new chips fill a void in the market by giving clients high-efficiency and high-performance deep learning computing options for both training and inference deployments and data center workloads. They also make it easier for businesses of all sizes to start using AI.

In March 2022, Nvidia Corp. showed off new chips and technology that it says can speed up the processing of AI algorithms that are getting more complicated. The company released specifics of new graphic chips (GPU) that would be at the heart of AI infrastructure, including the H100 chip and a novel processor chipset called the Grace CPU Superchip, both of which are based on the technology of British chip maker Arm Ltd. It's Nvidia's first Arm-based semiconductor since its plan to buy Arm fell through last month.

Additional Benefits:

The market estimate (ME) sheet in Excel format
3 months of analyst support

1 INTRODUCTION

1.1 Study Assumptions
1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

4.1 Market Overview
4.2 Industry Attractiveness - Porter's Five Forces Analysis
- 4.2.1 Bargaining Power of Suppliers
- 4.2.2 Bargaining Power of Buyers
- 4.2.3 Threat of New Entrants
- 4.2.4 Threat of Substitutes
- 4.2.5 Intensity of Competitive Rivalry
4.3 Assessment of Impact of COVID-19 on the Market

5 MARKET DYNAMICS

5.1 Market Drivers
- 5.1.1 Increasing Demand for AI-capable Processors in Mobile Devices
- 5.1.2 Rise of Cognitive Computing and Increasing Number of AI Applications
- 5.1.3 Increasing Penetration of Mobile Devices
5.2 Market Restraint
- 5.2.1 Premium Pricing of AI Processors

6 MARKET SEGMENTATION

6.1 By Application
- 6.1.1 Smartphone
- 6.1.2 Camera
- 6.1.3 Drone
- 6.1.4 Robotics
- 6.1.5 Automotive
- 6.1.6 Other Applications
6.2 By Geography
- 6.2.1 North America
- 6.2.2 Europe
- 6.2.3 Asia-Pacific
- 6.2.4 Latin America
- 6.2.5 Middle East & Africa

7 COMPETITIVE LANDSCAPE

7.1 Company Profiles
- 7.1.1 Intel Corporation
- 7.1.2 Microsoft Corporation
- 7.1.3 Alphabet Inc. (Google LLC)
- 7.1.4 Apple Inc
- 7.1.5 Samsung Electronics Co. Ltd.
- 7.1.6 Nvidia Corporation
- 7.1.7 IBM Corporation
- 7.1.8 Qualcomm Technologies Inc
- 7.1.9 MediaTek Inc.
- 7.1.10 Huawei Technologies Co. Ltd.