市场调查报告书
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1601084
行动人工智慧市场:按技术节点、功能、设备类型、应用和产业划分 - 2025-2030 年全球预测Mobile Artificial Intelligence Market by Technology Node (10nm, 20-28nm, 7nm), Functionalities (Image Recognition, Intelligent Virtual Assistants, Predictive Text), Device Type, Application, Industry - Global Forecast 2025-2030 |
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2023年行动人工智慧市场规模为174.6亿美元,预计2024年将达到214.1亿美元,复合年增长率为24.61%,到2030年将达到815.1亿美元。
行动人工智慧(AI)是指将人工智慧功能整合到行动装置中,从而实现从改进的使用者体验和语音助理到进阶影像识别和即时资料处理的广泛应用。对行动人工智慧的需求源于对更智慧、更有效率、响应更灵敏的行动应用程式不断增长的需求,这些应用程式可以提供个人化服务并改善设备功能。应用涵盖远端医疗和病患监测的医疗保健、行动银行和诈骗侦测的金融以及个人化购物体验的零售等行业。最终用途包括智慧型手机、平板电脑、无人机、物联网设备等,人工智慧可优化效能并提供新功能。
主要市场统计 | |
---|---|
基准年[2023] | 174.6亿美元 |
预测年份 [2024] | 214.1亿美元 |
预测年份 [2030] | 815.1亿美元 |
复合年增长率(%) | 24.61% |
关键的成长要素包括促进行动装置上即时人工智慧处理的 5G 网路的普及、人工智慧演算法的进步以及对边缘运算的需求增加。机会在于利用这些进步为自动驾驶汽车和扩增实境等快速成长的领域开发人工智慧驱动的应用程式。企业应专注于与通讯公司合作,利用 5G 功能,并投资研究适用于依赖电池的行动装置的节能人工智慧模型。
然而,资料隐私问题、围绕人工智慧决策的道德考虑以及影响处理速度和储存容量的硬体限制等挑战可能会阻碍市场成长。创新的时机已经成熟,包括开发紧凑且节能的人工智慧晶片、增强人工智慧模型的训练方式以及确保稳健的资料隐私通讯协定。行动人工智慧市场本质上是动态的,其特点是技术快速发展和激烈竞争,要求企业不断创新和适应以保持竞争力。为了实现成长,企业必须投资持续的研发,建立策略伙伴关係和联盟,并灵活地回应新趋势和消费者需求。为了最大限度地发挥潜力并推动长期成长,我们需要符合全球技术趋势和社会经济因素的自适应、安全和扩充性的人工智慧主导的行动解决方案。
市场动态:揭示快速发展的行动人工智慧市场的关键市场洞察
供需的动态相互作用正在改变行动人工智慧市场。透过了解这些不断变化的市场动态,公司可以准备好做出明智的投资决策、完善策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险,同时也能帮助企业了解消费行为及其对製造业的影响。
波特五力:驾驭行动人工智慧市场的策略工具
波特的五力框架是理解市场竞争格局的重要工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势,解决弱点并避免潜在的挑战,从而确保更强大的市场地位。
PESTLE分析:了解行动人工智慧市场的外部影响
外部宏观环境因素在塑造行动人工智慧市场的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素,公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化,并帮助他们做出积极主动的决策。
市场占有率分析 了解行动人工智慧市场竞争格局
行动人工智慧市场的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、分散和整合的趋势,为供应商提供了製定策略决策所需的洞察力,使他们能够在日益激烈的竞争中占有一席之地。
FPNV定位矩阵行动人工智慧市场厂商绩效评估
FPNV定位矩阵是评估行动人工智慧市场供应商的重要工具。此矩阵允许业务组织根据商务策略和产品满意度评估供应商,从而做出与其目标相符的明智决策。四个象限清楚且准确地划分供应商,帮助使用者辨识最能满足其策略目标的合作伙伴和解决方案。
1. 市场渗透率:对当前市场环境的详细回顾,包括行业主要企业的大量资料。
2. 市场开拓:辨识新兴市场的成长机会,评估现有领域的扩张潜力,并提供未来成长的策略蓝图。
3. 市场多元化:分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。
4. 竞争评估与情报:彻底分析竞争格局,检验市场占有率、业务策略、产品系列、认证、监理核准、专利趋势、主要企业的技术进步等。
5. 产品开发与创新:重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。
1.目前的市场规模和未来的成长预测是多少?
2. 哪些产品、区隔市场和地区提供最佳投资机会?
3.塑造市场的主要技术趋势和监管影响是什么?
4.主要厂商的市场占有率和竞争地位如何?
5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么?
The Mobile Artificial Intelligence Market was valued at USD 17.46 billion in 2023, expected to reach USD 21.41 billion in 2024, and is projected to grow at a CAGR of 24.61%, to USD 81.51 billion by 2030.
Mobile Artificial Intelligence (AI) refers to the integration of AI capabilities into mobile devices, enabling applications that range from enhanced user experiences and voice assistants to advanced image recognition and real-time data processing. The necessity of mobile AI emerges from the growing demand for smarter, more efficient, and responsive mobile applications that offer personalized services and improve device functionalities. Applications span across industries such as healthcare for telemedicine and patient monitoring, finance for mobile banking and fraud detection, and retail for personalized shopping experiences. The end-use scope includes smartphones, tablets, drones, and IoT devices, where AI can optimize performance and provide new functionalities.
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 17.46 billion |
Estimated Year [2024] | USD 21.41 billion |
Forecast Year [2030] | USD 81.51 billion |
CAGR (%) | 24.61% |
Key growth factors include the proliferation of 5G networks facilitating real-time AI processing on mobile devices, advancements in AI algorithms, and increased demand for edge computing. Opportunities lie in exploiting these advances to develop AI-driven applications for burgeoning sectors like autonomous vehicles and augmented reality. Companies should focus on partnerships with telecommunication firms to leverage 5G capabilities and invest in research for energy-efficient AI models suited for battery-dependent mobile devices.
However, market growth may be impeded by challenges such as data privacy concerns, ethical considerations around AI decision-making, and hardware limitations affecting processing speed and storage capacity. Innovations are ripe in developing compact and energy-efficient AI chips, enhancing AI model training methods, and ensuring robust data privacy protocols. The mobile AI market is inherently dynamic, characterized by rapid technological evolution and intense competition, demanding businesses to consistently innovate and adapt to maintain a competitive edge. To harness growth, firms should invest in continuous R&D, forge strategic partnerships and alliances, and remain agile to respond to emerging trends and consumer demands. An essential focus should be on creating adaptable, secure, and scalable AI-driven mobile solutions that align with global tech trends and socio-economic factors to maximize potential and drive long-term growth.
Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Mobile Artificial Intelligence Market
The Mobile Artificial Intelligence Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.
Porter's Five Forces: A Strategic Tool for Navigating the Mobile Artificial Intelligence Market
Porter's five forces framework is a critical tool for understanding the competitive landscape of the Mobile Artificial Intelligence Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.
PESTLE Analysis: Navigating External Influences in the Mobile Artificial Intelligence Market
External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Mobile Artificial Intelligence Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.
Market Share Analysis: Understanding the Competitive Landscape in the Mobile Artificial Intelligence Market
A detailed market share analysis in the Mobile Artificial Intelligence Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.
FPNV Positioning Matrix: Evaluating Vendors' Performance in the Mobile Artificial Intelligence Market
The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Mobile Artificial Intelligence Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.
Key Company Profiles
The report delves into recent significant developments in the Mobile Artificial Intelligence Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., AIMobile Co., Ltd., AIStorm Inc., Apple Inc., AT&T Inc., Blaize, Inc., Cerebras Systems Inc., DataRobot, Inc., Google LLC by Alphabet Inc., Graphcore Ltd., Huawei Technologies Co., Ltd., Imagination Technologies Ltd., Intel Corporation, International Business Machines Corporation, Kneron, Inc., MediaTek Inc., Meta Platforms, Inc., Microsoft Corporation, Nvidia Corporation, Passio, Inc., Qualcomm Incorporated, rabbitAI GmbH, Rockchip Electronics Co., Ltd., SambaNova Systems, Inc., Samsung Electronics Co., Ltd., Shanghai Thinkforce Electronic Technology Co., Ltd., Turing Video, and Zhongke Cambrian Technology Co., Ltd..
Market Segmentation & Coverage
1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.
2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.
3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.
4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.
5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.
1. What is the current market size, and what is the forecasted growth?
2. Which products, segments, and regions offer the best investment opportunities?
3. What are the key technology trends and regulatory influences shaping the market?
4. How do leading vendors rank in terms of market share and competitive positioning?
5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?