边缘人工智慧硬体：市场占有率分析、产业趋势/统计、成长预测，2024-2029

上一年边缘AI硬体市场规模为26.2亿美元，预计未来五年将以19.85%的复合年增长率成长，达到75.2亿美元。

边缘运算产品和服务的快速成长以及边缘设备即时延迟的降低是推动边缘AI硬体市场成长的主要因素。值得注意的是，物联网中对边缘运算的需求以及用于设备上影像分析的专用人工智慧处理器是边缘人工智慧设备市场发展的有前景的领域。

主要亮点

• Edge Al 设备是处理和驱动基于人工智慧的机器人和设备的先进系统。透过将人工智慧融入该设备来实现资料处理，以提高其效能。边缘人工智慧硬体市场的重大机会包括对基于物联网的边缘运算解决方案不断增长的需求、越来越多地采用 5G 网路来统一 IT 和通讯，以及用于设备上影像分析的专用人工智慧处理器。
• 随着工业4.0在各行各业的广泛部署，对边缘人工智慧的需求不断增加。据估计，人工智慧、物联网和5G技术在BFSI、政府、饭店、零售和消费品等各行业的快速渗透正在支撑边缘AI硬体产业的成长。在不传输资料的情况下执行人工智慧推理的可能性正在为边缘人工智慧硬体市场创造巨大的需求。随着边缘人工智慧设备数量的不断增加，企业可以在准确性和延迟至关重要的关键情况下降低营运成本。
• 作为边缘人工智慧硬体市场的趋势，智慧家庭和智慧城市的需求正在不断增加。现在人们可以使用智慧型设备从世界任何地方控制他们的家。智慧城市是利用人工智慧、机器学习、巨量资料和区块链等最尖端科技建造的。这些技术在各行各业中普及广泛，并且越来越多地在世界各地的智慧城市中被采用。这种模式正在推动边缘人工智慧硬体市场的发展。
• 与边缘人工智慧设备相关的安全问题是阻碍市场成长的抑制因素。风险发生在边缘人工智慧主要运作的地方层级。作为针对坚决个人的任何线上违规行为的开放原始码，本地层面的人为错误很容易导致资料遗失。与边缘人工智慧程式设计相容的机器类型也存在很大差异，有些则不相容。不幸的是，不相容的机器一起工作很容易出现故障和故障，这阻碍了市场的发展。
• COVID-19 对边缘人工智慧 (AI) 硬体产业产生了重大影响，因为几乎所有国家都选择关闭所有製造设施。政府采取了多项严格措施来遏制病毒的传播，包括暂停非必需品的生产和销售以及扰乱国际贸易。但目前情势下，各行各业都已重启，边缘AI公司正在生产最好的人工智慧解决方案，预计未来将积极带动市场。

边缘人工智慧 (AI) 硬体市场趋势

智慧家庭和智慧城市需求的增加预计将推动市场成长

• 智慧城市是复杂的结构，包含支持人类生命週期的各种系统。智慧医疗、智慧交通、智慧製造、智慧建筑、智慧型能源和智慧农业只是其中的一些系统。根据《经济学人》报道，哥本哈根在 2022 年指数排名中以 80.3 分领先全球数位城市。首尔、北京、阿姆斯特丹和新加坡进入最佳数位城市前五名。
• 随着这些人工智慧技术在各行业的普及，世界各地的智慧城市也逐渐采用人工智慧技术。随着智慧城市的普及，越来越多的人对智慧家居的概念感兴趣。随着越来越多的人迁移到城市，人们日常生活中对自动化服务的需求预计将会增加。智慧家居正从奢侈品演变为必需品。由于智慧家庭和智慧城市的需求不断增加，边缘人工智慧硬体市场预计将在未来五年内扩大。
• 在世界各地，各国政府正在利用最尖端科技来解决人口安全和保护的关键问题。为了利用都市化带来的机会，许多国家正在製定计划，将其城市转变为智慧城市。智慧城市可以提高营运效率、环境永续性以及为居民创造新的服务。例如，阿拉伯联合大公国（UAE）启动了一项将其城市转变为智慧城市的计划。阿联酋政府还制定了总体区块链战略，以提高安全性、不变性、弹性和透明度。无人机和监视录影机是政府组织为此目的部署的两种尖端人工智慧硬体。
• 由于边缘运算能力的增强以及深度学习和机器学习的大量使用，边缘设备变得越来越创新。边缘人工智慧使设备能够提供即时洞察和预测分析，而无需将资料传送到远端云端伺服器。许多公司现在正在利用这一点，在製造中实施智慧型解决方案。借助现代工厂中安装的许多工业IoT设备、边缘人工智慧硬体增加的市场需求，製造商可以了解供应链中的问题，并主动避免计划外停机。

亚太地区预计将占据主要市场占有率

• 由于5G的出现和该地区物联网整合设备的增加，预计亚太地区将创下全球边缘人工智慧硬体市场的最高成长率。中国、日本、印度和韩国的智慧型手机普及不断提高，人工智慧硬体市场的采用预计也会增加。
• 中国是该地区最大的市场，其次是日本。多家大型汽车、电子和半导体供应商大力投资人工智慧技术，正在推动该地区边缘人工智慧硬体市场的成长。从去年提交的专利申请数量来看，中国边缘人工智慧产业在边缘运算和硬体解决方案方面的创新呈爆炸式增长，显示中国产业正在快速创新。
• 6月至7月一个月内，北京经济资讯化委员会统计，中国人工智慧企业约4,040家。此外，许多製造业的存在使该地区成为采用人工智慧技术的工业机器人的有吸引力的市场。这些趋势正在推动边缘人工智慧硬体市场的需求。
• 穿戴式装置在与视觉处理单元整合以加速人工智慧任务的需求不断增长方面也发挥着关键作用。Cisco预测，到年终，连网穿戴装置数量将达到11.05亿台。製造业、通讯和汽车等终端用户产业在该地区拥有巨大潜力，很快将为人工智慧硬体市场创造巨大需求。

边缘人工智慧（AI）硬体产业概览

边缘人工智慧硬体市场高度分散，主要参与者包括英特尔公司、华为科技公司、英伟达公司、超微半导体公司和三星集团。市场参与企业正在采取联盟和收购等策略来加强其产品供应并获得永续的竞争优势。

其他福利：

• Excel 格式的市场预测 (ME) 表
• 3 个月分析师支持

目录

第一章简介

• 研究假设和市场定义
• 调查范围

第二章调查方法

第三章执行摘要

第四章市场动态

• 市场概况
• 市场驱动因素
  • 人工智慧在边缘设备中的普及
  • 智慧家庭和智慧城市的需求增加
• 市场抑制因素
  • 有关边缘人工智慧设备的安全问题
• 产业价值链分析
• 产业吸引力－波特五力分析
  • 新进入者的威胁
  • 买家/消费者的议价能力
  • 供应商的议价能力
  • 替代品的威胁
  • 竞争公司之间敌对关係的强度
• COVID-19 对市场的影响

第五章市场区隔

• 按处理器
  • CPU
  • GPU
  • FPGA
  • ASIC
• 按设备
  • 智慧型手机
  • 相机
  • 机器人
  • 穿戴式的
  • 智慧音箱
  • 其他的
• 按最终用户产业
  • 政府
  • 房地产
  • 消费性电子产品
  • 车
  • 运输
  • 卫生保健
  • 製造业
• 按地区
  • 北美洲
  • 欧洲
  • 亚太地区
  • 其他地区

第六章竞争形势

• 公司简介
  • Intel Corporation
  • Huawei Technologies Co. Ltd
  • Nvidia Corporation
  • Advanced Micro Devices Inc.
  • Baidu Inc.
  • Alphabet Inc.
  • Qualcomm Incorporated
  • Samsung Group
  • Apple Inc.
  • Amazon.com Inc.
  • Alibaba Group Holding Limited
  • Continental AG
  • Denso Corporation
  • Robert Bosch GmbH
  • KALRAY Corporation
  • MediaTek Inc.
  • Xilinx Inc.

第七章 投资分析

第八章 市场机会及未来趋势

The Edge AI Hardware Market was valued at USD 2.62 billion the previous year and is expected to grow at a CAGR of 19.85%, reaching USD 7.52 billion by the next five years. Rapid growth in edge computing products and services and increasing real-time low latency on edge devices are significant factors for the edge AI hardware market growth. Notably, the need for edge computing in IoT and dedicated AI processors for on-device image analytics are promising areas of market advancement in edge AI devices.

Key Highlights

• An edge Al device is an advanced system that processes and powers artificial intelligence-based robots and devices. Data processing is possible with this equipment by integrating artificial intelligence into it and improving its performance. The significant opportunities for the edge AI hardware market include the growing demand for IoT-based edge computing solutions, the rising adoption of 5G networks to bring IT and telecom together, and dedicated AI processors for on-device image analytics.
• The demand for edge AI is growing due to Industry 4.0's widespread deployment across all sectors. The burgeoning penetration of artificial intelligence, IoT & 5G technologies across varied industry verticals, including BFSI, government, hospitality, retail, and consumer goods, is speculated to support the growth of the edge AI Hardware industry. The possibility of performing AI inference without transferring data has generated huge demand for the edge AI Hardware market. Businesses can cut operating costs in critical situations when accuracy and latency are crucial due to the increase in edge AI devices.
• A trend in the edge AI hardware market anticipated to have a beneficial effect in the following years is the rise in demand for smart homes and smart cities. People can now control their homes from anywhere in the world using smart devices. Smart cities are being built using cutting-edge technology like AI, machine learning, big data, and blockchain. Because these technologies are becoming more prevalent across a wide range of industries, smart cities worldwide are increasingly adopting them. This pattern fuels the market for edge AI hardware.
• Security concerns related to edge AI devices are a restraining factor hindering the market's growth. The risk occurs at the local level, where edge AI functions primarily. Since it is open source to any online breaching from determined individuals, human error at the local level is prone to data loss. There is also a significant variation in machine types that are compatible with Edge AI programming, while some are incompatible. Unfortunately, it's likely for faults and failures to happen when incompatible machines work together, which restrains the market.
• COVID-19 significantly impacted the edge artificial intelligence (AI) hardware sector as nearly every nation chose to shut down all manufacturing facilities. The government has implemented several stringent measures to stop the virus from spreading, including halting the manufacturing and sale of non-essential commodities and obstructing international trade. However, with the current situation, all the industries are reopened, and Edge AI companies are producing some of the best artificial intelligence solutions, which are expected to drive the market positively in the future.

Edge Artificial Intelligence (AI) Hardware Market Trends

Increase Demand for Smart Homes and Smart Cities is Expected to Drive the Market Growth

• Smart cities are complex structures incorporating various systems to support a human life cycle. Smart healthcare, smart transportation, smart manufacturing, smart buildings, smart energy, and smart farming are just some of these systems. According to the Economist, In 2022, the leading global digital city on the index ranking was Copenhagen, with a score of 80.3. Seoul, Beijing, Amsterdam, and Singapore ranked in the top 5 for the best digital cities.
• As these AI technologies become more prevalent across various industries, smart cities are gradually adopting them worldwide. More people are becoming intrigued by the idea of a smart home as smart cities become more common. The need for automated services in people's daily lives is expected to rise as more people relocate to cities. Smart homes are evolving from a luxury to a need. Due to the increasing demand for smart homes and smart cities, the edge AI hardware market is anticipated to expand throughout the next five years.
• Globally, governments are utilizing cutting-edge technologies to handle the crucial issue of safeguarding the security and protection of residents. To take advantage of the opportunities presented by urbanization, many nations have developed programs to transform their cities into smart cities. Operational efficiencies, environmental sustainability, and the creation of new services for residents are all made possible by smart cities. For instance, the United Arab Emirates has started a program to make its cities smart cities. The UAE government has also developed a general blockchain strategy for improved security, immutability, resilience, and transparency. Drones and surveillance cameras are two leading-edge AI hardware deployed by government organizations for this purpose.
• Edge devices have become increasingly innovative because of increased edge computing power and the sparing use of deep learning and machine learning. Edge AI enables devices to deliver real-time insights and predictive analytics without sending data to distant cloud servers. Now, many companies are utilizing this by putting intelligent solutions in manufacturing. Manufacturers may be informed of problems in their supply chain and proactively avoid unplanned downtime with the help of the many industrial IoT devices installed in modern factories, which increases demand for the edge AI hardware market.

Asia Pacific is Expected to Hold Significant Market Share

• Asia Pacific region is expected to experience the highest growth rate in the global edge AI hardware market due to the advent of 5G in the region and the increasing number of IoT-incorporated devices. The growing penetration of smartphones in China, Japan, India, and South Korea is expected to increase the adoption of AI hardware market adoption.
• China is the largest market in the region, followed by Japan. The presence of several significant vendors in the automobile, electronics, and semiconductor companies, who are investing significantly in AI technology, is driving the growth of the edge AI hardware market in the region. China's edge AI industry has seen explosive growth in innovation in the last year for edge computing and hardware solutions through the number of patents filed, which shows that China's industries are innovating rapidly.
• During one month between June and July, the Beijing Municipal Commission of Economy and Information Technology counted around 4,040 AI companies in China. Besides, the presence of many manufacturing companies makes the region an attractive market for industrial robots that implement AI technology. Such trends strive for the demand for the edge AI hardware market.
• Wearable devices also play a significant role in the increasing demand for integration with vision processing units to accelerate AI tasks. Cisco Systems estimates that the number of connected wearable devices could reach 1,105 million units by the end of 2022. End-user industries like manufacturing, telecommunications, and automotive have huge potential in the region, creating a huge demand for the AI hardware market shortly.

Edge Artificial Intelligence (AI) Hardware Industry Overview

Edge AI Hardware Market is highly fragmented, with the presence of major players like Intel Corporation, Huawei Technologies Co. Ltd, Nvidia Corporation, Advanced Micro Devices Inc., and Samsung Group. Players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain sustainable competitive advantage.

• August 2023 - Intel and Synopsys announced their definitive agreement to expand the companies' long-standing IP (intellectual property) and EDA (electronic design automation) strategic partnership by developing a portfolio of IP on Intel 3 and Intel 18A for Intel's foundry customers. Synopsys would enable a range of its standardized interface IP portfolio on Intel's leading-edge process technologies as part of the transaction. As a result, Intel's foundry consumers would gain access to industry-leading IPs built on Intel's advanced process technologies and be able to accelerate design execution and project schedules for system-on-chips (SoCs).
• November 2022: Israeli AI solutions firm Run:ai has launched an MLOps Compute Platform (MCP) with support from NVIDIA's DGX systems. The platform is a full-stack AI tool for enterprises that would help them avoid issues associated with AI model deployment.

Additional Benefits:

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

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Increasing Penetration of AI in Edge Devices
  • 4.2.2 Increasing Demand for Smart Homes and Smart Cities
• 4.3 Market Restraints
  • 4.3.1 Security Concerns Related to Edge AI Devices
• 4.4 Industry Value Chain Analysis
• 4.5 Industry Attractiveness - Porter's Five Force Analysis
  • 4.5.1 Threat of New Entrants
  • 4.5.2 Bargaining Power of Buyers/Consumers
  • 4.5.3 Bargaining Power of Suppliers
  • 4.5.4 Threat of Substitute Products
  • 4.5.5 Intensity of Competitive Rivalry
• 4.6 Impact of COVID-19 on the Market

5 MARKET SEGMENTATION

• 5.1 By Processor
  • 5.1.1 CPU
  • 5.1.2 GPU
  • 5.1.3 FPGA
  • 5.1.4 ASICs
• 5.2 By Device
  • 5.2.1 Smartphones
  • 5.2.2 Cameras
  • 5.2.3 Robots
  • 5.2.4 Wearables
  • 5.2.5 Smart Speaker
  • 5.2.6 Other Devices
• 5.3 By End-User Industry
  • 5.3.1 Government
  • 5.3.2 Real Estate
  • 5.3.3 Consumer Electronics
  • 5.3.4 Automotive
  • 5.3.5 Transportation
  • 5.3.6 Healthcare
  • 5.3.7 Manufacturing
• 5.4 By Geography
  • 5.4.1 North America
  • 5.4.2 Europe
  • 5.4.3 Asia Pacific
  • 5.4.4 Rest of the World

6 COMPETITIVE LANDSCAPE

• 6.1 Company Profiles
  • 6.1.1 Intel Corporation
  • 6.1.2 Huawei Technologies Co. Ltd
  • 6.1.3 Nvidia Corporation
  • 6.1.4 Advanced Micro Devices Inc.
  • 6.1.5 Baidu Inc.
  • 6.1.6 Alphabet Inc.
  • 6.1.7 Qualcomm Incorporated
  • 6.1.8 Samsung Group
  • 6.1.9 Apple Inc.
  • 6.1.10 Amazon.com Inc.
  • 6.1.11 Alibaba Group Holding Limited
  • 6.1.12 Continental AG
  • 6.1.13 Denso Corporation
  • 6.1.14 Robert Bosch GmbH
  • 6.1.15 KALRAY Corporation
  • 6.1.16 MediaTek Inc.
  • 6.1.17 Xilinx Inc.

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS