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市场调查报告书
商品编码
1751521

美国边缘人工智慧市场规模、份额和趋势分析报告：2025 年至 2030 年按组件、最终用途和细分市场预测

U.S. Edge AI Market Size, Share & Trends Analysis Report By Component (Hardware, Software, Edge Cloud Infrastructure, Service) By End User (Consumer Electronics, Smart Cities, Manufacturing), And Segment Forecasts, 2025 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10个工作天内

价格

美国边缘人工智慧市场规模与趋势：

预计到 2024 年，美国边缘 AI 市场规模将达到 68.988 亿美元，2025 年至 2030 年的复合年增长率为 16.9%。

这一显着增长得益于多种因素，包括政府鼓励采用人工智慧的倡议以及私营部门的大量投资。此外，该国的成长也受到网路边缘即时数据处理和分析需求日益增长的推动。医疗保健、製造业和通讯等行业希望在更靠近源头的地方处理数据，以提高业务效率并减少延迟，推动了快速成长。

此外，美国市场受益于高技能劳动力和先进的研究机构，这些因素推动了人工智慧技术的进步。人工智慧与汽车、医疗保健和零售等行业的整合将提高业务效率，并催生依赖边缘即时数据分析的全新服务模式。这一趋势凸显了边缘人工智慧对于满足日益增长的更快、更可靠数据处理需求的重要性。

随着美国各地企业持续投资边缘人工智慧技术，预计市场将迎来大量旨在改善使用者体验和业务成果的新应用和服务。专注于开发能够适应各行各业需求的可扩展解决方案，预计将进一步促进美国市场的蓬勃发展。

此外， Synaptics公司宣布与Google合作，于2025年1月推动物联网（IoT）边缘人工智慧的发展。此次合作旨在建立情境感知感知计算中多模态处理的最佳实践。透过此次合作，符合MLIR框架的Google机器学习核心将与开放原始码软体工具一起整合到Synaptics的Astra硬体中。

组件洞察

硬体部分将在 2024 年拥有最高的收入份额，达到 51.9%。这项成长主要得益于物联网设备、自动驾驶汽车和智慧城市等各种应用对即时数据处理能力日益增长的需求。越来越多的公司依靠本地数据处理来提高业务效率和减少延迟，这推动了对先进硬体解决方案的需求。市场主要企业正专注于开发专用处理器和 GPU，以满足这些需求并增加市场占有率。市场主要倡议。例如，2025 年 4 月，NVIDIA 将与 NVIDIA Blackwell 晶片以及在亚利桑那州和德克萨斯州构建和测试 AI 系统的领先製造商合作，推出首台美国製造的 AI超级电脑。该倡议旨在美国生产价值高达 5 兆美元的 AI 基础设施，创造数十万个就业机会并加强国内 AI 供应链。

2025 年至 2030 年，软体产业的复合年增长率为 19.7%。这归因于对促进边缘即时分析和机器学习的软体解决方案的需求不断增长。随着企业寻求在不过度依赖集中式云端系统的情况下利用人工智慧主导的洞察力，他们越来越重视开发针对边缘环境的复杂软体应用程式。该国的主要倡议例如，2025 年 5 月，高通技术公司和阿美数位公司结成战略合作伙伴关係，以开发、部署和商业化先进的边缘人工智慧和工业IoT解决方案，利用阿美数位公司的 450 MHz 5G 工业网络，根据沙乌地阿拉伯 2030 愿景提高整个工业的效率、安全性和永续性。该伙伴关係关係旨在透过尖端人工智慧和 5G 技术加速沙乌地阿拉伯工业领域的数位转型和创新。

目录

第一章调查方法与范围

第二章执行摘要

第三章美国边缘人工智慧市场变数、趋势与范围

  • 市场展望
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 产业挑战
  • 美国边缘人工智慧市场分析工具
    • 产业分析-波特五力分析
    • PESTEL分析
  • 痛点分析

第四章美国边缘AI市场：组成部分估算与趋势分析

  • 细分仪表板
  • 美国边缘人工智慧市场：2022 年和 2030 年组件变化分析
  • 硬体
  • 软体
  • 边缘云端基础设施
  • 服务

第五章美国边缘人工智慧市场：最终用途估计与趋势分析

  • 细分仪表板
  • 美国边缘人工智慧市场：2024 年和 2030 年最终用途变化分析
  • 家电
    • 美国家电边缘人工智慧市场：2018 年至 2030 年收益估计与预测
  • 智慧城市
    • 美国智慧城市边缘人工智慧市场：2018-2030 年收益估计与预测
  • 製造业
    • 美国製造业边缘人工智慧市场：2018-2030 年收益估计与预测
  • 车
    • 美国汽车边缘人工智慧市场：2018-2030 年收益估计与预测
  • 政府
    • 美国政府边缘人工智慧市场：2018 年至 2030 年收益估计与预测
  • 卫生保健
    • 美国医疗保健边缘人工智慧市场：2018 年至 2030 年收益估计与预测
  • 资讯科技/通讯
    • 美国IT 和通讯业领域边缘 AI 市场：2018 年至 2030 年收益估计和预测
  • 活力
    • 美国能源边缘人工智慧市场：2018-2030 年收益估计与预测
  • 零售
    • 美国零售市场边缘人工智慧：2018-2030 年收益估算与预测
  • 其他的
    • 美国边缘人工智慧市场：2018 年至 2030 年收益估计与预测

第六章 竞争态势

  • 公司分类
  • 公司市场定位
  • 参与企业概况
  • 财务表现
  • 产品基准
  • 公司热图分析
  • 战略地图
  • 公司简介/上市公司
    • NVIDIA Corporation
    • Qualcomm Technologies, Inc.
    • Intel Corporation
    • Advanced Micro Devices, Inc
    • Ambarella International LP.
    • Synaptics Incorporated.
    • Amazon Web Services, Inc.
    • Google
    • Nutanix
    • BrainChip, Inc.
Product Code: GVR-4-68040-584-9

U.S. Edge AI Market Size & Trends:

The U.S. edge AI market size was valued at USD 6898.8 million in 2024 and is expected to grow at a CAGR of 16.9% from 2025 to 2030. This substantial growth can be attributed to several factors, including government initiatives that promote AI adoption and significant investments from private enterprises. Moreover, the growth in this country is driven by the increasing demand for real-time data processing and analysis at the network's edge. This surge is propelled by industries such as healthcare, manufacturing, and telecommunications, which seek to enhance operational efficiency and reduce latency by processing data closer to its source.

Furthermore, the U.S. market benefits from a highly skilled workforce and advanced research institutions that drive technological advancements in AI. Integrating AI into sectors such as automotive, healthcare, and retail is enhancing operational efficiencies and enabling new service models that rely on real-time data analysis at the edge. This trend underscores the importance of edge AI in meeting the growing demand for faster and more reliable data processing.

As organizations across the U.S. continue to invest in edge AI technologies, the market is expected to witness an influx of new applications and services designed to improve user experience and operational outcomes. The focus on developing scalable solutions that can adapt to varying industry needs is likely to further contribute to the dynamic growth of the U.S. market.

Moreover, in January 2025, Synaptics Incorporated announced its partnership with Google to advance edge AI for the Internet of Things (IoT). This collaboration aims to establish the best practices for multimodal processing in context-aware computing. As per the collaboration, Google's machine learning core, which complies with the MLIR framework, will be integrated on Synaptics' Astra hardware with open-source software tools.

Component Insights

The hardware segment accounted for the highest revenue share of 51.9% in 2024. The rising need for real-time data processing capabilities in various applications such as IoT devices, autonomous vehicles, and smart cities primarily fuels this growth. With businesses increasingly relying on local data processing to enhance operational efficiency and reduce latency, the demand for advanced hardware solutions is increasing. Major players in the market are focusing on developing specialized processors and GPUs that cater to these needs, thereby expanding their market share. Major initiatives in the market. For instance, in April 2025, NVIDIA is launching the first-ever American-made AI supercomputers, partnering with leading manufacturers to build and test NVIDIA Blackwell chips and AI systems in Arizona and Texas. This initiative aims to produce up to half a trillion dollars of AI infrastructure in the U.S., creating hundreds of thousands of jobs and strengthening the domestic AI supply chain

The software segment registered a CAGR of 19.7% from 2025 to 2030. This can be attributed to the increasing demand for software solutions that facilitate real-time analytics and machine learning at the edge. As organizations seek to harness the power of AI-driven insights without relying heavily on centralized cloud systems, there is a growing emphasis on developing sophisticated software applications tailored for edge environments. Key initiatives in the country. For instance, in May 2025. Qualcomm Technologies and Aramco Digital have entered a strategic collaboration to develop, deploy, and commercialize advanced edge AI and industrial IoT solutions, leveraging Aramco Digital's 450 MHz 5G industrial network to enhance efficiency, safety, and sustainability across Saudi Arabia's industries in alignment with Vision 2030. This partnership aims to accelerate digital transformation and innovation in the Kingdom's industrial sectors through cutting-edge AI and 5G technologies

U.S. Edge AI Market Report Segmentation

This report forecasts revenue growth at U.S. and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the U.S. edge AI market report based on component and end use.

  • Component Outlook (Revenue, USD Million, 2018 - 2030)
  • Hardware
  • Software
  • Edge Cloud Infrastructure
  • Services
  • End Use Outlook (Revenue, USD Million, 2018 - 2030)
  • Consumer Electronics
  • Smart Cities
  • Manufacturing
  • Automotive
  • Government
  • Healthcare
  • IT & Telecom
  • Energy
  • Retail
  • Others

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Research Methodology
    • 1.2.1. Information Procurement
  • 1.3. Information or Data Analysis
  • 1.4. Methodology
  • 1.5. Research Scope and Assumptions
  • 1.6. Market Formulation & Validation
  • 1.7. Country Based Segment Share Calculation
  • 1.8. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. U.S. Edge AI Market Variables, Trends, & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
    • 3.2.2. Market Restraint Analysis
    • 3.2.3. Industry Challenge
  • 3.3. U.S. Edge AI market Analysis Tools
    • 3.3.1. Industry Analysis - Porter's
      • 3.3.1.1. Bargaining power of the suppliers
      • 3.3.1.2. Bargaining power of the buyers
      • 3.3.1.3. Threats of substitution
      • 3.3.1.4. Threats from new entrants
      • 3.3.1.5. Competitive rivalry
    • 3.3.2. PESTEL Analysis
      • 3.3.2.1. Political landscape
      • 3.3.2.2. Economic and Social Landscape
      • 3.3.2.3. Technological landscape
  • 3.4. Pain Point Analysis

Chapter 4. U.S. Edge AI Market: Component Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. U.S. Edge AI market: Component Movement Analysis, 2022 & 2030 (USD Million)
  • 4.3. Hardware
    • 4.3.1. Hardware Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.4. Software
    • 4.4.1. Software Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.5. Edge Cloud Infrastructure
    • 4.5.1. Edge Cloud Infrastructure Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.6. Services
    • 4.6.1. Services Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. U.S. Edge AI Market: End Use Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. U.S. Edge AI market: End Use Movement Analysis, USD Million, 2024 & 2030
  • 5.3. Consumer Electronics
    • 5.3.1. Consumer Electronics U.S. Edge AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.4. Smart Cities
    • 5.4.1. Smart Cities U.S. Edge AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.5. Manufacturing
    • 5.5.1. Manufacturing U.S. Edge AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.6. Automotive
    • 5.6.1. Automotive U.S. Edge AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.7. Government
    • 5.7.1. Government U.S. Edge AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.8. Healthcare
    • 5.8.1. Healthcare U.S. Edge AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.9. IT & Telecom
    • 5.9.1. IT & Telecom U.S. Edge AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.10. Energy
    • 5.10.1. Energy U.S. Edge AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.11. Retail
    • 5.11.1. Retail U.S. Edge AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.12. Others
    • 5.12.1. Others U.S. Edge AI market: Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 6. Competitive Landscape

  • 6.1. Company Categorization
  • 6.2. Company Market Positioning
  • 6.3. Participant's Overview
  • 6.4. Financial Performance
  • 6.5. Product Benchmarking
  • 6.6. Company Heat Map Analysis
  • 6.7. Strategy Mapping
  • 6.8. Company Profiles/Listing
    • 6.8.1. NVIDIA Corporation
      • 6.8.1.1. Participant's Overview
      • 6.8.1.2. Financial Performance
      • 6.8.1.3. Product Benchmarking
      • 6.8.1.4. Recent Developments
    • 6.8.2. Qualcomm Technologies, Inc.
      • 6.8.2.1. Participant's Overview
      • 6.8.2.2. Financial Performance
      • 6.8.2.3. Product Benchmarking
      • 6.8.2.4. Recent Developments
    • 6.8.3. Intel Corporation
      • 6.8.3.1. Participant's Overview
      • 6.8.3.2. Financial Performance
      • 6.8.3.3. Product Benchmarking
      • 6.8.3.4. Recent Developments
    • 6.8.4. Advanced Micro Devices, Inc
      • 6.8.4.1. Participant's Overview
      • 6.8.4.2. Financial Performance
      • 6.8.4.3. Product Benchmarking
      • 6.8.4.4. Recent Developments
    • 6.8.5. Ambarella International LP.
      • 6.8.5.1. Participant's Overview
      • 6.8.5.2. Financial Performance
      • 6.8.5.3. Product Benchmarking
      • 6.8.5.4. Recent Developments
    • 6.8.6. Synaptics Incorporated.
      • 6.8.6.1. Participant's Overview
      • 6.8.6.2. Financial Performance
      • 6.8.6.3. Product Benchmarking
      • 6.8.6.4. Recent Developments
    • 6.8.7. Amazon Web Services, Inc.
      • 6.8.7.1. Participant's Overview
      • 6.8.7.2. Financial Performance
      • 6.8.7.3. Product Benchmarking
      • 6.8.7.4. Recent Developments
    • 6.8.8. Google
      • 6.8.8.1. Participant's Overview
      • 6.8.8.2. Financial Performance
      • 6.8.8.3. Product Benchmarking
      • 6.8.8.4. Recent Developments
    • 6.8.9. Nutanix
      • 6.8.9.1. Participant's Overview
      • 6.8.9.2. Financial Performance
      • 6.8.9.3. Product Benchmarking
      • 6.8.9.4. Recent Developments
    • 6.8.10. BrainChip, Inc.
      • 6.8.10.1. Participant's Overview
      • 6.8.10.2. Financial Performance
      • 6.8.10.3. Product Benchmarking
      • 6.8.10.4. Recent Developments

List of Tables

  • Table 1 U.S. edge AI market by Component, 2018 - 2030 (USD Million)
  • Table 2 U.S. edge AI market by End-Use, 2018 - 2030 (USD Million)
  • Table 3 Key companies are launching new products/services.
  • Table 4 Key companies engaged in mergers & acquisition.
  • Table 5 Key companies engaged in Research & development.
  • Table 6 Key Companies engaged in expansion.

List of Figures

  • Fig. 1 U.S. Edge AI market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Market formulation & validation
  • Fig. 7 Healthcare chatbot market snapshot
  • Fig. 8 Healthcare chatbot market segment snapshot
  • Fig. 9 Healthcare chatbot market competitive landscape snapshot
  • Fig. 10 Market driver impact analysis
  • Fig. 11 Market restraint impact analysis
  • Fig. 12 Healthcare chatbot market: Component outlook key takeaways (USD Million)
  • Fig. 13 Healthcare chatbot market: Component movement analysis 2024 & 2030 (USD Million)
  • Fig. 14 Hardware edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 15 Software edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 16 Edge Cloud Infrastructure edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 17 Services edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 18 Healthcare chatbot market: End use outlook key takeaways (USD Million)
  • Fig. 19 Healthcare chatbot market: End use movement analysis 2024 & 2030 (USD Million)
  • Fig. 20 Consumer Electronics edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 21 Smart Cities edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 22 Manufacturing edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 23 Automotive edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 24 Government edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 25 Healthcare edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 26 IT & Telecom edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 27 Energy edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 28 Retail edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 29 Others edge AI market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 30 Company Categorization
  • Fig. 31 Company Market Positioning
  • Fig. 32 Strategy framework