Global Mobile Artificial Intelligence Ai Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2025 –2031 |
 Market Size (Base Year) |
USD 8.23 Billion |
 Market Size (Forecast Year) |
USD 62.89 Billion |
 CAGR |
% |
| Major Markets Players |
|
>全球移动人工智能 (AI) 市场，按技术（5nm-10nm、11nm-20nm 和 20nm 以上）、组件（硬件、软件和服务）、应用（智能手机、无人机、汽车、相机、机器人、增强现实 (AR)、虚拟现实 (VR) 等）划分 - 行业趋势和预测到 2031 年。
移动人工智能（AI）市场分析及规模
在移动人工智能 (AI) 市场，尖端技术不断重塑用户体验。人工智能与移动技术的协同作用带来了前所未有的便利性和效率，从实现无缝语音助手的高级自然语言处理到增强预测能力的创新机器学习算法。用户通过采用这些创新技术，可以以越来越直观和个性化的方式使用设备。
例如，高通技术公司于 2023 年 3 月推出了骁龙 7+ 第二代移动平台，为骁龙 7 系列带来专属的卓越体验。其卓越的 CPU 和 GPU 功能可实现 4K HDR 视频拍摄、低光摄影、不间断游戏、AI 增强体验以及快速 5G 和 Wi-Fi 网络等功能，以增强的功能推动细分市场的增长。
Data Bridge Market Research 分析称，2023 年全球移动人工智能 (AI) 市场规模价值 82.3 亿美元，预计到 2031 年将达到 628.9 亿美元，2024 年至 2031 年预测期内的复合年增长率为 28.95%。除了对市场价值、增长率、细分、地理覆盖范围和主要参与者等市场情景的见解外，Data Bridge Market Research 策划的市场报告还包括深入的专家分析、按地理位置表示的公司生产和产能、分销商和合作伙伴的网络布局、详细和更新的价格趋势分析以及供应链和需求的缺口分析。
报告范围和市场细分
|
报告指标 |
细节 |
|
预测期 |
2024 至 2031 年 |
|
基准年 |
2023 |
|
历史岁月 |
2022（可定制为 2016 - 2021） |
|
定量单位 |
收入（单位：十亿美元）、销量（单位：台）、定价（美元） |
|
涵盖的领域 |
技术（5nm-10nm、11nm-20nm 及 20nm 以上）、组件（硬件、软件和服务）、应用（智能手机、无人机、汽车、相机、机器人、增强现实(AR)、虚拟现实 (VR) 等） |
|
覆盖国家 |
美国、加拿大、墨西哥、巴西、阿根廷和南美洲其他地区、德国、意大利、英国、法国、西班牙、荷兰、比利时、瑞士、土耳其、俄罗斯、欧洲其他地区、日本、中国、印度、韩国、澳大利亚、新加坡、马来西亚、泰国、印度尼西亚、菲律宾、亚太其他地区、沙特阿拉伯、阿联酋、南非、埃及、以色列、中东和非洲其他地区 |
|
涵盖的市场参与者 |
Huawei Technologies Co., Ltd. (China), SAMSUNG (South Korea), Qualcomm Technologies, Inc. (U.S.), Intel Corporation (U.S.), NVIDIA Corporation (U.S.), AYASDI AI LLC (U.S.), Baidu, Inc. (China), ClariFI, Inc. (U.S.), Cyrcadia Health (U.S.), Enlitic, Inc. (U.S.), Apple Inc. (U.S.), IBM (U.S.), Microsoft (U.S.), Imagination Technologies Ltd (U.K.), Graphcore (U.K.), Amazon Inc. (U.S.), Deephi Technology (China), Cambricon (China), and Google (U.S.) |
|
Market Opportunities |
Rise of Natural Language Processing (NLP) Rising Usage of AI Chipsets |
Market Definition
Mobile artificial intelligence (AI) refers to AI algorithms and technologies integrated into mobile devices such as smartphones and tablets. It enables tasks such as voice recognition, image processing, and predictive text. Mobile AI enhances user experience by offering personalized services, efficient resource management, and real-time decision-making capabilities, all within the confines of portable devices.
Global Mobile Artificial Intelligence (AI) Market Dynamics
Drivers
- Rising Demand for AI-Enabled Services
There is a rising demand for AI-enabled mobile services such as language translation, image recognition, and augmented reality applications. These functionalities enhance user experiences, enabling seamless communication, advanced visual capabilities, and immersive interactions. Integrating such services into mobile platforms reflects evolving consumer preferences and drives innovation in the mobile AI market.
- Advancements in AI Technology
Continuous advancements in AI algorithms, notably in machine learning and natural language processing, enhance the sophistication and effectiveness of AI-powered mobile applications. These advancements enable mobile devices to perform complex tasks with greater accuracy and efficiency, driving innovation and delivering more intelligent and personalized experiences to users worldwide, which is driving the market growth.
Opportunities
- Rise of Natural Language Processing (NLP)
NLP is increasingly common in mobile AI, enabling voice commands and natural language interactions. It drives voice recognition, language translation, sentiment analysis, and text summarization. These capabilities enhance user experience, making mobile devices more intuitive and versatile in understanding and responding to human language queries and commands.
- Rising Usage of AI Chipsets
Mobile device manufacturers are crafting specialized AI chipsets to enhance performance and energy efficiency for AI tasks. These chips expedite on-device AI computations, resulting in quicker inference and prolonged battery life. This innovation marks a significant advancement in mobile AI capabilities, catering to the growing demand for efficient and powerful AI-driven experiences on smartphones and tablets.
Restraints/Challenges
- Concern about Data Privacy
Data privacy concerns in the mobile AI market pose a significant challenge, necessitating access to personal data while adhering to stringent regulations such as GDPR. Balancing the need for data access with user privacy expectations is complex, impacting market trust and adoption. Compliance efforts add further complexity, requiring meticulous attention to privacy safeguards amidst evolving regulatory landscapes.
- Fragmentation of Platforms
The fragmentation of platforms in the mobile market, spanning diverse operating systems such as iOS and Android, alongside numerous device manufacturers, poses a significant challenge for AI developers. This fragmentation hampers market growth by complicating the creation of seamless AI applications across platforms and devices, increasing development costs and hindering widespread user adoption.
This mobile artificial intelligence (AI) market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the mobile artificial intelligence (AI) market, contact data bridge market research for an analyst brief, our team will help you take an informed market decision to achieve market growth.
Impact and Current Market Scenario of Raw Material Shortage and Shipping Delays
Data Bridge Market Research offers a high-level analysis of the market and delivers information by keeping in account the impact and current market environment of raw material shortage and shipping delays. This translates into assessing strategic possibilities, creating effective action plans, and assisting businesses in making important decisions.
Apart from the standard report, we also offer in-depth analysis of the procurement level from forecasted shipping delays, distributor mapping by region, commodity analysis, production analysis, price mapping trends, sourcing, category performance analysis, supply chain risk management solutions, advanced benchmarking, and other services for procurement and strategic support.
Expected Impact of Economic Slowdown on the Pricing and Availability of Products
When economic activity slows, industries begin to suffer. The forecasted effects of the economic downturn on the pricing and accessibility of the products are taken into account in the market insight reports and intelligence services provided by DBMR. With this, our clients can typically keep one step ahead of their competitors, project their sales and revenue, and estimate their profit and loss expenditures.
Recent Developments
- In May 2022, Avaya and Microsoft Corp. expanded their global partnership. Organizations gain enhanced productivity and customer engagement options by integrating Avaya OneCloud portfolio with Microsoft Azure. The collaboration promises unrivaled reliability, agility, and scalability, catering to the growing demands of the mobile AI market
- In March 2022, Intel Corporation's acquisition of Granulate Cloud Solutions Ltd. impacted the mobile artificial intelligence (AI) market. This strategic move aims to empower cloud and data center customers to optimize compute workload performance while curbing infrastructure and cloud costs. The integration promises to drive efficiency and innovation in mobile AI solutions
- In February 2022, Apple Inc.'s acquisition of an AI music startup marks its foray into the mobile artificial intelligence (AI) market. The startup's expertise in using AI to craft tailor-made music aligns with Apple's aim to enhance its audio offerings. This strategic acquisition underscores Apple's commitment to leveraging advanced AI technology to enrich user experiences in the mobile AI landscape
Global Mobile Artificial Intelligence (AI) Market Scope
The global mobile artificial intelligence (AI) market is segmented on the basis of technology, components, and application. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Technology
- 5nm-10nm
- 11nm-20nm
- Above 20nm
Components
- Hardware
- Software
- Services
Application
- Smartphones
- Drones
- Automotive
- Cameras
- Robotics
- Augmented Reality (AR),
- Virtual Reality (VR)
- Others
Global Mobile Artificial Intelligence (AI) Market Regional Analysis/Insights
The global mobile artificial intelligence (AI) market is analyzed and market size insights and trends are provided by technology, components, and application as referenced above.
The countries covered in the market report are U.S., Canada, Mexico, Brazil, Argentina and Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, and Rest of Middle East and Africa.
North America is expected to dominate the market, leveraging its conducive environment for startups and SMEs. The region's robust ecosystem fosters innovation, driving the development and adoption of AI technologies in mobile devices. This dominance reflects a dynamic landscape poised for continual growth and advancement.
亚太地区预计将见证市场的最高增长，因为该地区的快速数字化带来了激增。随着技术基础设施的不断扩大和智能手机普及率的不断提高，亚太地区正成为推动人工智能移动解决方案创新和采用的关键市场。
报告的国家部分还提供了影响单个市场因素和国内市场监管变化，这些因素和变化会影响市场的当前和未来趋势。下游和上游价值链分析、技术趋势和波特五力分析、案例研究等数据点是用于预测单个国家市场情景的一些指标。此外，在提供国家数据的预测分析时，还考虑了全球品牌的存在和可用性以及由于来自本地和国内品牌的大量或稀缺竞争而面临的挑战、国内关税和贸易路线的影响。
竞争格局和全球移动人工智能（AI）市场份额分析
全球移动人工智能 (AI) 市场竞争格局按竞争对手提供详细信息。详细信息包括公司概况、公司财务状况、产生的收入、市场潜力、研发投资、新市场计划、全球影响力、生产基地和设施、生产能力、公司优势和劣势、产品发布、产品宽度和广度、应用主导地位。以上提供的数据点仅与公司对市场的关注有关。
全球移动人工智能（AI）市场的一些主要参与者包括：
- 华为技术有限公司 (中国)
- 三星（韩国）
- 高通技术公司（美国）
- 英特尔公司（美国）
- NVIDIA 公司（美国）
- AYASDI AI LLC（美国）
- 百度公司 (中国)
- ClariFI, Inc.（美国）
- Cyrcadia Health（美国）
- Enlitic, Inc.（美国）
- 苹果公司（美国）
- IBM（美国）
- 微软 (美国)
- Imagination Technologies Ltd（英国）
- Graphcore（英国）
- 亚马逊公司（美国）
- 深鉴科技 (中国)
- 寒武纪（中国）
- 谷歌（美国）
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研究方法
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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