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市场调查报告书
商品编码
1499408
边缘人工智慧硬体市场:按组件、设备、功耗、功能和最终用途划分 - 2024-2030 年全球预测Edge AI Hardware Market by Component (Memory, Networking Sensor, Processor), Device (Automotive, Edge servers, Robots), Power Consumption, Function, End-Use - Global Forecast 2024-2030 |
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边缘人工智慧硬体市场规模预估2023年为244.6亿美元,2024年达281.3亿美元,预计2030年将达到723.3亿美元,复合年增长率为16.75%。
边缘人工智慧硬体市场包括促进在资料来源或资料来源附近进行本地化资料处理的技术和设备。该领域专注于将人工智慧功能直接整合到智慧型手机、穿戴式装置、工业机械和感测器等硬体设备中,而不像传统的云端基础的人工智慧需要将资料传输到中央伺服器。使用边缘人工智慧硬体进行局部资料处理可以加快决策速度、增强隐私性并减少延迟,同时最大限度地减少频宽使用。这项市场扩张是由多种因素推动的,包括晶片技术和人工智慧演算法的进步、对资料隐私日益增长的担忧、对即时处理的需求不断增长以及物联网和智慧设备的普及。然而,新兴市场面临着开发和实施边缘人工智慧解决方案的高成本、这些系统与现有基础设施整合的复杂性、设备功能有限以及缺乏熟练专业人员等挑战。此外,随着物联网 (IoT) 和自动化技术在医疗保健、汽车和製造等各个领域的普及,网路边缘产生的资料点正在迅速增加。这种扩展需要强大的边缘人工智慧硬件,能够快速即时处理而不会出现延迟问题,从而极大地扩展了这些行业中边缘人工智慧硬体应用的市场。
主要市场统计 | |
---|---|
基准年[2023] | 244.6亿美元 |
预测年份 [2024] | 281.3亿美元 |
预测年份 [2030] | 723.3亿美元 |
复合年增长率(%) | 16.75% |
区域洞察
由于处理器和感测器的重大技术发展加快了源头附近的资料处理速度,美国和加拿大在美洲占据着举足轻重的地位。这项进步促进了即时决策,这对于医疗保健和汽车等快速回应业务至关重要,也得到了重视隐私和离线功能的消费者群体的支持。在欧洲,GDPR 等严格的资料隐私法规对边缘人工智慧技术的设计和部署产生了重大影响。德国、英国和法国等国家走在前列,透过增加本地资料处理来加强安全性和合规性。这种整合是由注重隐私的消费者群体推动的,他们需要高效能、即时应用程式。相较之下,中东地区则专注于智慧城市计划,尤其是阿联酋和沙乌地阿拉伯。非洲仍在发展中,并已在局部采用以满足采矿和农业需求,但往往受到投资和进口挑战的阻碍。此外,亚太地区也表现出很高的活跃度,其中中国、日本和韩国是主要的创新地区。中国国家主导的投资凸显了优先考虑技术进步的国家策略,日本和韩国在机器人和汽车产业中进行创新。在政府的大力支持和偏好具有丰富人工智慧功能的消费性电子产品的文化的推动下,该区域市场正在蓬勃发展,这与这些国家的製造优势和消费者需求非常契合。此外,在投资增加和对边缘人工智慧功能加深了解的推动下,印度正在成为一个重要的参与者,对医疗保健、汽车和消费电子领域的边缘人工智慧兴趣日益浓厚。
FPNV定位矩阵
FPNV定位矩阵对于评估边缘AI硬体市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一个综合工具,可以对边缘人工智慧硬体市场供应商的现状进行深入而详细的评估。对供应商贡献的彻底比较和分析可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他重要指标。此外,该分析还提供了对该行业竞争性质的宝贵见解,包括在研究基准年期间观察到的累积、分散主导地位和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对目前在边缘人工智慧硬体市场中的地位进行全面评估,使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[191 Pages Report] The Edge AI Hardware Market size was estimated at USD 24.46 billion in 2023 and expected to reach USD 28.13 billion in 2024, at a CAGR 16.75% to reach USD 72.33 billion by 2030.
The edge AI hardware Market encompasses the technologies and devices that facilitate data processing localized at or near the source of data generation. This field focuses on integrating AI capabilities directly into hardware devices such as smartphones, wearables, industrial machines, and sensors, unlike traditional cloud-based AI, which requires data transmission to a central server. The localized data processing by edge AI hardware enables quicker decision-making, enhanced privacy, and reduced latency while minimizing bandwidth use. The expansion of this market is propelled by several factors, including advancements in chip technology and AI algorithms, heightened data privacy concerns, the increasing demand for real-time processing, and the proliferation of IoT and smart devices. However, the market faces challenges such as the high costs associated with developing and implementing edge AI solutions, the complexity in integrating these systems with existing infrastructure, limitations in device capabilities, and a shortage of skilled professionals. Moreover, the proliferation of the Internet of Things (IoT) and automated technologies across various sectors, including healthcare, automotive, and manufacturing, is creating a surge in data points generated at the edge of networks. This expansion necessitates robust edge AI hardware capable of rapid, real-time processing without latency issues, thus opening extensive markets for edge AI hardware applications in these industries.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 24.46 billion |
Estimated Year [2024] | USD 28.13 billion |
Forecast Year [2030] | USD 72.33 billion |
CAGR (%) | 16.75% |
Regional Insights
The United States and Canada are pivotal in the Americas, with significant technological developments in processors and sensors that expedite data processing near its source. This advancement facilitates real-time decision-making capabilities crucial for operations that demand rapid responses, such as in the healthcare and automotive sectors, further supported by a consumer base that values privacy and offline functionalities. In Europe, stringent data privacy regulations such as GDPR significantly influence the designs and deployment of edge AI technologies. Nations, including Germany, the United Kingdom, and France, are at the forefront, enhancing local data processing, thus bolstering security and compliance. This integration is driven by a highly privacy-conscious consumer base requiring high-performance and real-time applications. In contrast, the Middle East emphasizes smart city projects, particularly in UAE and Saudi Arabia, while Africa, though still developing, sees localized adoption tailored to needs in mining and agriculture, often hindered by investment and import challenges. Moreover, the Asia-Pacific region demonstrates substantial activity, with China, Japan, and South Korea as significant innovations. China's state-led investments underscore a national strategy prioritizing tech advancements, while Japan and South Korea innovate in robotics and automotive industries. The regional market thrives on robust government support and a culture favoring consumer electronics rich in AI capabilities, aligning well with these nations' manufacturing strengths and consumer demands. Additionally, India is emerging as a significant player with rising interests in edge AI across healthcare, automotive, and consumer electronics, facilitated by increasing investments and an expanding understanding of edge AI capabilities.
Market Insights
The market dynamics represent an ever-changing landscape of the Edge AI Hardware Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Edge AI Hardware Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Edge AI Hardware Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Intel Unveils New Edge AI Technologies at MWC 2024 to Revolutionize Local Data Processing for Enhanced Speed and Efficiency
Intel introduced its latest edge platform at the Mobile World Congress 2024, with enhancements aimed at expanding the capabilities of edge AI technology. This new platform is set to revolutionize the data processed locally on devices, minimizing latency and ensuring more efficient and rapid processing than centralized data solutions. These technological advancements promise to catalyze innovation across various industries, including healthcare, automotive, and manufacturing, by enabling smarter and faster decision-making at the device level. Additionally, improved edge AI solutions are expected to facilitate the development of new, more responsive applications capable of operating with significant autonomy. [Published On: 2024-02-25]
Avnet and Syntiant Partnered to Advance Edge AI Technology Distribution
Avnet, a global technology solutions provider, has partnered strategically with Syntiant Corp., a notable innovator in edge artificial intelligence solutions. This partnership focuses on distributing advanced AI technology that enables devices to process data locally, enhancing responsiveness and efficiency while minimizing latency and privacy concerns. The partnership aims to leverage Avnet's vast distribution network to broaden the accessibility of Syntiant's ultra-low-power, deep-learning processors across various markets. These processors are designed for edge applications, aligning with the growing demand for smarter, autonomous devices that operate at the network's edge. This alliance not only expands Avnet's portfolio in the burgeoning field of AI technology but also promises to enhance the capabilities of IoT and consumer devices, pushing forward the frontiers of what edge AI can achieve. [Published On: 2024-01-04]
STMicroelectronics Unveils Advanced Edge AI Processor Series for Enhanced Computational Capabilities
STMicroelectronics introduced a new series of edge AI processors to improve computational abilities and energy efficiency in AI applications. The STM32Cube.AI, an integral component of the new range, allows seamless conversion of neural networks into optimized code for faster, more efficient use at the edge. This development targets a broad spectrum of applications, including industrial IoT, automotive systems, and consumer products, where local data processing is crucial for responsiveness and privacy. By enhancing processing power directly on devices, the series minimizes reliance on cloud-based systems, reducing latency and ensuring robust operation even with intermittent connectivity. This initiative underlines STMicroelectronics' commitment to advancing edge computing technologies and promises substantial improvements in the functionality and efficiency of AI-driven applications. [Published On: 2023-06-15]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Edge AI Hardware Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Edge AI Hardware Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., Aetina Corporation, Apple Inc., Arm Holdings plc, Huawei Technologies Co., Ltd., Imagination Technologies, Intel Corporation, International Business Machines Corporation, MediaTek Inc., Micron Technology, Inc., Microsoft Corporation, Murata Manufacturing Co., Ltd., NVIDIA Corporation, Premier Farnell Limited, Qualcomm Technologies, Inc., Renesas Electronics Corporation, Samsung Electronics Co., Ltd., Sony Group Corporation, STMicroelectronics N.V., Super Micro Computer, Inc., Texas Instruments Incorporated, and Xailient Inc..
Market Segmentation & Coverage