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市场调查报告书
商品编码
1361415
边缘人工智慧硬体市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测,按设备、功耗、功能、处理器、垂直领域、地区、竞争细分Edge AI Hardware Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028F Segmented By Device, By Power Consumption, By Function, By Processor, By Vertical, By Region, Competition |
由于边缘设备对低延迟和即时资料传输处理的需求,预计全球边缘人工智慧硬体市场在预测期内将成长。边缘AI是人工智慧(AI)在边缘运算环境中的实作。这意味着人工智慧运算不是在集中式云端运算设施或异地资料中心进行,而是在特定网路的边缘(通常是在创建资料的装置上)执行。此外,边缘人工智慧硬体是一个术语,用于指基于人工智慧 (AI) 的机器人和小工具,由一系列工具和机械进行处理和驱动。该公司正在逐步在其设备中使用边缘人工智慧硬体来管理效率,并使客户能够快速部署具有高处理能力和低功耗的解决方案。人工智慧和机器学习技术的大量创新有望增强边缘人工智慧硬体的功能。反过来,这预计将在预测期内推动市场成长。
随着电信、航空航太与国防、资讯与技术以及汽车等终端使用产业对边缘人工智慧采用的需求不断增加,边缘人工智慧硬体市场在过去几年中出现了显着增长。此外,边缘人工智慧硬体还具有透过本地处理资料来提高准确性和减少延迟的优势,透过整合到边缘人工智慧硬体系统来提高效率、即时分析和降低营运成本。消费者对自助服务需求的成长带动了产品需求的增加。这可以归因于随着近年来智慧型装置数量的增加,个人对组织和业务中的运算速度和延迟减少的日益偏好。此外,先进技术企业之间不断加强的合作预计未来也将带来巨大的需求。此外,随着消费者使用智慧型手机、监视摄影机和智慧扬声器的增加,边缘人工智慧硬体越来越受欢迎,在全球市场上显示出利润丰厚的增长,它还在充满挑战的情况下提供了可靠性和耐用性。使用边缘人工智慧硬体使组织能够以更低的成本提供及时的服务。
市场概况 | |
---|---|
预测期 | 2024-2028 |
2022 年市场规模 | 30.8亿美元 |
2028 年市场规模 | 119.4亿美元 |
2023-2028 年复合年增长率 | 25.39% |
成长最快的细分市场 | 卫生保健 |
最大的市场 | 北美洲 |
在预测期内,智慧家庭和智慧城市需求的不断增长正在推动全球边缘人工智慧硬体市场的成长。各国许多实业家和建筑商正在采用先进技术,透过人工智慧 (AI) 的集成,使他们的家庭和城市基础设施变得更加智慧。随着这些人工智慧技术在多个领域的日益普及,世界各地的智慧城市都在逐步使用它们。随着智慧城市的普及,越来越多的人对智慧家庭的概念产生了兴趣。随着越来越多的人选择居住在城市,日常生活中对自动化服务的需求可能会更大。对智慧家庭的需求正在将其从奢侈品转变为必需品。代表人工智慧 (AI) 的 Edgehardware 设备正在为智慧型装置提供额外的好处,例如使用机器学习演算法适应用户行为、低延迟和即时回应。此外,随着城市化的发展,许多发展中国家也开始实施智慧城市倡议,作为未来的定义。将人工智慧融入智慧家庭产品和智慧城市,可以使设备更有效率、便利性和个人化,从而带来更好的整体用户体验。例如,新加坡、芬兰、瑞士和挪威等国家将在 2022 年跻身全球智慧城市前列。此外,世界各国政府都在利用尖端技术来解决智慧城市所涉及的基本问题。确保个人的安全。因此,智慧家庭和智慧城市需求的不断增长正在推动预测期内全球边缘人工智慧硬体市场的成长。
边缘设备低时延、即时资料传输处理需求
边缘设备上资料密集深度学习的推理过程由称为人工智慧加速器的专用硬体加速。由于对即时深度学习工作负载的需求不断增加,专用边缘人工智慧硬体可实现设备上的快速深度学习,这变得越来越重要。为了克服高延迟和安全漏洞的问题,边缘人工智慧近距离处理物联网产生的资料。云端从 IoT 设备接收大量资料,然后由机器学习 (ML) 模型进行处理,然后再发送回 IoT 设备。此过程可能会导致响应时间延迟。然而,设备上的人工智慧限制了资料交换,从而实现了更快的反应。在云端上储存大量资料的能力也可能是不可能的。对于边缘人工智慧来说,无需将这些资料传送到云端,因为设备本身俱有处理能力。因此,边缘人工智慧硬体对边缘设备上低延迟和即时资料传输处理的需求不断增加,预计将增加边缘人工智慧硬体在全球市场的采用。
数位化和先进技术的不断采用推动市场成长
边缘运算和人工智慧(AI)等先进技术的不断采用以及数位化的不断发展正在推动全球边缘人工智慧硬体市场的成长。由于该技术正处于发展阶段,未来成长明确,越来越多的企业正在将边缘、人工智慧支援的设备和解决方案整合并采用到其製造和营运服务中。边缘人工智慧硬体正在帮助持续使用机器人和其他消费性电子产品的企业即时处理资料并提供无缝的用户体验。此外,人工智慧 (AI) 正在成为透过提高效率、优化效能和改善决策来帮助自动化和加速流程的关键推动因素。因此,先进技术的不断采用和数位化的不断发展正在推动全球边缘人工智慧硬体市场的需求。
增加智慧型手机的使用推动市场成长
智慧型手机使用量的增加推动了全球边缘人工智慧硬体市场的需求。每个人的生活都受到智慧型手机和行动装置的控制。根据智慧型手机使用资料,目前全球三分之二的人口透过智慧型手机连接,到2023 年,将有超过73.3 亿人拥有行动装置。儿童从10 岁起开始使用行动装置。几乎所有Z 世代的儿童都拥有智慧型手机。因此,使用网路的人数增加。因此,对基于云端的服务和智慧型设备用户的需求增加。由于使用基于云端的服务,边缘人工智慧硬体领域拥有更多选择,这也导致更快的安装时间、轻鬆安全的资料传输、快速扩展的需求增加以及更便宜的基础设施、能源和设施成本。
市场区隔:
根据设备,市场分为智慧型手机、机器人、监视摄影机、穿戴式装置、智慧扬声器、汽车、智慧镜子等。依功耗,市场分为1W以下、1-3W、3-5W、3-5W和10W以上。根据功能,市场分为训练和推理。根据处理器,市场分为 CPU、GPU、ASIC 等。在垂直的基础上,市场进一步分为医疗保健与生命科学、零售与消费性电子、汽车与运输、航空航太与国防、政府、建筑等。市场分析也研究区域细分,以设计区域市场细分,分为北美、欧洲、亚太地区、南美以及中东和非洲。
公司简介
Qualcomm Technologies, Inc.、华为技术有限公司、三星电子有限公司、MediaTek Inc.、国际商业机器公司 (IBM)、微软公司、NVIDIA Corporation、Google LLC (Alphabet Inc.)、Apple Inc.、英特尔公司是推动全球边缘人工智慧硬体市场成长的主要参与者之一。
报告范围:
在本报告中,除了以下详细介绍的产业趋势外,全球边缘人工智慧硬体市场还分为以下几类:
智慧型手机
机器人
监视器
穿戴式装置
智慧音箱
汽车
智慧镜子
其他的
小于1W
1-3W
3-5W
5-10W
10W以上
训练
推理
中央处理器
图形处理器
专用积体电路
其他的
医疗保健与生命科学
零售与消费性电子产品
汽车与运输
航太与国防
政府
建造
其他的
亚太
北美洲
欧洲
中东和非洲
南美洲
竞争格局
公司简介:详细分析全球边缘人工智慧硬体市场的主要公司。
可用的客製化:
根据给定的市场资料,TechSci Research 可根据公司的具体需求提供客製化服务。该报告可以使用以下自订选项:
公司资讯
(註:公司名单可依客户要求客製化。)
The global Edge AI Hardware market is predicted to grow during the forecast period owing to the requirement for low latency and real-time data transmission processing on edge devices. Edge AI is the implementation of artificial intelligence (AI) in an edge computing environment. This implies that rather than at a centralised cloud computing facility or off-site data centre, AI computations are performed at the edge of a particular network, typically on the device where the data is created. In addition, edge AI hardware is a term used for artificial intelligence (AI) based robotics and gadgets that are processed and powered by a collection of tools and machinery. Companies are progressively using enabling edge AI hardware's in their devices to manage the efficiency and enables customers to deploy solutions quickly with high processing capability and low-power consumption. Numerous innovations carried out in artificial intelligence, and machine learning technologies are expected to enhance the features of Edge AI Hardware. This, in turn, is expected to drive market growth during the forecast period.
The Edge AI Hardware market has witnessed significant growth in the last few years as the demand for adoption of edge AI in end-use industries such as telecommunication, aerospace & defense, information & technology and automobiles is increasing. Additionally, Edge AI hardware is offering the advantages of increasing accuracy and reduces latency by processing data locally, improving efficiency, real-time analytics and reducing the operational cost by integrating to the Edge AI Hardware system. The growth in consumer demand for self-service operations has led to increase in product demand. This can be attributed to the growing preference of individuals for computational speed and reduced latency in the organization and business as the number of smart devices has grown higher in the recent years. Moreover, growing collaboration between the advanced technology-based enterprises are also expected to witness significant demand in the future. Furthermore, edge AI hardware are gaining popularity as increase in usage of smartphones, surveillance cameras and smart speakers by the consumers are showing a lucrative growth in the global market, it also provides dependability and durability in challenging situations. The use of Edge AI Hardware enables organizations to deliver timely services at reduced costs.
Increasing Demand for Smart Homes and Smart Cities
Market Overview | |
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Forecast Period | 2024-2028 |
Market Size 2022 | USD 3.08 Billion |
Market Size 2028 | USD 11.94 Billion |
CAGR 2023-2028 | 25.39% |
Fastest Growing Segment | Healthcare |
Largest Market | North America |
The increasing demand for smart homes and smart cities is driving the growth of global edge AI hardware market during the forecast period. Many industrialists and builders across the countries are adopting advanced technologies to make their homes and the cities infrastructure smarter with the integration of artificial intelligence (AI). Smart cities all around the world are progressively using these AI technologies as they become increasingly widespread across several sectors. As smart cities spread, more individuals are getting interested in the concept of a smart house. As more people choose to live in cities, there will likely be a greater need for automated services in everyday life. The demand for smart homes is turning them from a luxury to an essential need. Edgehardware devices on behalf of Artificial Intelligence (AI) is helping the smart devices with additional benefits such as adaptation to user behavior using machine learning algorithms, low latency with real-time responses. Moreover, many developing nations have started implementing smart cities initiatives as a definition of future with the growth in urbanization. Incorporating AI into smart home products and smart cities can make devices more efficient, convenient, and personalised, leading to a better overall user experience. For instance, countries such as Singapore, Finland, Switzerland, and Norway and many more are among the top smart cities in the world in 2022. Furthermore, the government all around the world are leveraging cutting-edge technology to address the fundamental issues involved in assuring the security and safety of individuals. Thus, the increasing demand for smart homes and smart cities are driving the growth of global edge AI hardware market during the forecast period.
Requirement for Low Latency and Real-Time Data Transmission Processing on Edge Devices
The inference process for data-intensive deep learning on edge devices is accelerated by specialized hardware called AI accelerators. Specialized edge AI hardware enables the quick deep learning on-device that has become more and more significant due to the increasing need for real-time deep learning workloads. To get beyond the issues of high latency and security gaps, edge AI processes IoT-generated data at close range. The cloud receives a significant amount of data from an IoT device, which is then processed by machine learning (ML) models before being sent back to the IoT device. This procedure may cause a response time delay. Yet on-device AI limits data exchange, enabling a quicker reaction. The ability to store a significant amount of data on the cloud may also not be possible. Sending this data to the cloud is not necessary with edge AI since the devices themselves have the processing capability. Therefore, increasing Edge AI Hardware demands for low latency and real-time data transmission processing on edge devices are expected to grow the adoption of Edge AI Hardware in the global market.
Digitalization and Increasing Adoption of Advanced Technologies Driving the Market Growth
The rising adoption of advanced technologies such as edge computing and artificial intelligence (AI) and growing digitalization are driving the growth of Edge AI Hardware market globally. As the technology is in developing stage with explicit future growth, more and more enterprises are integrating and adopting edge, AI enabled devices and solutions into their manufacturing and operation services. Edge AI hardware is helping businesses that are consistently using robots and other consumer electronics to process data in real-time and provide a seamless user experience. Moreover, artificial intelligence (AI) is becoming a key enabler to help automate and speed up the process by increasing efficiency and optimizing the performance and improving decision making. Therefore, increasing adoption of advanced technologies and growing digitalization is driving the demand of global edge AI hardware market.
Increase Usage of Smartphones to Propel Growth of Market
The increase in usage of smartphones in driving the demand of global edge AI hardware market. The lives of everyone are governed by smartphones and mobile gadgets. According to data on smartphone usage, two-thirds of the globe is now linked via smartphones and more than 7.33 billion people own mobile devices by 2023. Children begin receiving mobile devices at the age of 10. Nearly all children of generation Z owns a smartphone. The number of individuals utilizing the internet has increased as a result. The demand for cloud-based services and smart device users rises as a result. The edge AI hardware sector has greater options because of the usage of cloud-based services, which also leads to quicker installation times, easy and secure data transfers, rapid scaling demand increases, and cheaper infrastructure, energy, and facility costs.
Market Segmentation:
Based on device, the market is segmented into smartphones, robots, surveillance cameras, wearables, smart speakers, automotive, smart mirrors, and others. Based on power consumption, the market is segmented into less than 1W, 1-3W, 3-5W, 3-5W and more than 10W. Based on function, the market is segmented into training and inference. Based on processor, the market is segmented into CPU, GPU, ASIC, and others. On the basis of vertical, the market is further split into healthcare & life science, retail & consumer electronics, automotive & transportation, aerospace & defense, government, construction, and others. The market analysis also studies the regional segmentation to devise regional market segmentation, divided among North America, Europe, Asia-Pacific, South America, and Middle East & Africa.
Company Profiles
Qualcomm Technologies, Inc., Huawei Technologies Co. Ltd., Samsung Electronics Co. Ltd., MediaTek Inc., International Business Machines Corporation (IBM), Microsoft Corporation, NVIDIA Corporation, Google LLC (Alphabet Inc.), Apple Inc., Intel Corporation are among the major players that are driving the growth of the Global Edge AI Hardware Market.
Report Scope:
In this report, the global Edge AI Hardware market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Smartphones
Robots
Surveillance Cameras
Wearables
Smart Speakers
Automotive
Smart Mirrors
Others
Less Than 1W
1-3W
3-5W
5-10W
More Than 10W
Training
Inference
CPU
GPU
ASIC
Others
Healthcare & Life Science
Retail & Consumer Electronics
Automotive & Transportation
Aerospace & Defense
Government
Construction
Others
Asia-Pacific
North America
Europe
Middle East & Africa
South America
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in the global Edge AI Hardware market.
Available Customizations:
With the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
(Note: The companies list can be customized based on the client requirements.)