查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1751521

美國邊緣人工智慧市場規模、佔有率和趨勢分析報告：2025 年至 2030 年按組件、最終用途和細分市場預測

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個工作天內

價格

美國邊緣人工智慧市場規模與趨勢：

預計到 2024 年，美國邊緣 AI 市場規模將達到 68.988 億美元，2025 年至 2030 年的複合年成長率為 16.9%。

這一顯著成長得益於多種因素，包括政府鼓勵採用人工智慧的舉措以及私營部門的大量投資。此外，該國的成長也受到網路邊緣即時數據處理和分析需求日益成長的推動。醫療保健、製造業和通訊等行業希望在更靠近源頭的地方處理數據，以提高業務效率並減少延遲，推動了快速成長。

此外，美國市場受益於高技能勞動力和先進的研究機構，這些因素推動了人工智慧技術的進步。人工智慧與汽車、醫療保健和零售等行業的整合將提高業務效率，並催生依賴邊緣即時數據分析的全新服務模式。這一趨勢凸顯了邊緣人工智慧對於滿足日益成長的更快、更可靠數據處理需求的重要性。

隨著美國各地企業持續投資邊緣人工智慧技術，預計市場將迎來大量旨在改善使用者體驗和業務成果的新應用和服務。專注於開發能夠適應各行各業需求的可擴展解決方案，預計將進一步促進美國市場的蓬勃發展。

此外， Synaptics公司宣布與Google合作，於2025年1月推動物聯網（IoT）邊緣人工智慧的發展。此次合作旨在建立情境感知感知計算中多模態處理的最佳實踐。透過此次合作，符合MLIR框架的Google機器學習核心將與開放原始碼軟體工具一起整合到Synaptics的Astra硬體中。

組件洞察

硬體部分將在 2024 年擁有最高的收入佔有率，達到 51.9%。這項成長主要得益於物聯網設備、自動駕駛汽車和智慧城市等各種應用對即時數據處理能力日益成長的需求。越來越多的公司依靠本地數據處理來提高業務效率和減少延遲，這推動了對先進硬體解決方案的需求。市場主要企業正專注於開發專用處理器和 GPU，以滿足這些需求並增加市場佔有率。市場主要舉措。例如，2025 年 4 月，NVIDIA 將與 NVIDIA Blackwell 晶片以及在亞利桑那州和德克薩斯州構建和測試 AI 系統的領先製造商合作，推出首台美國製造的 AI超級電腦。該舉措旨在美國生產價值高達 5 兆美元的 AI 基礎設施，創造數十萬個就業機會並加強國內 AI 供應鏈。

2025 年至 2030 年，軟體產業的複合年成長率為 19.7%。這歸因於對促進邊緣即時分析和機器學習的軟體解決方案的需求不斷成長。隨著企業尋求在不過度依賴集中式雲端系統的情況下利用人工智慧主導的洞察力，他們越來越重視開發針對邊緣環境的複雜軟體應用程式。該國的主要舉措例如，2025 年 5 月，高通技術公司和阿美數位公司結成戰略合作夥伴關係，以開發、部署和商業化先進的邊緣人工智慧和工業IoT解決方案，利用阿美數位公司的 450 MHz 5G 工業網路，根據沙烏地阿拉伯 2030 願景提高整個工業的效率、安全性和永續性。該夥伴關係關係旨在透過尖端人工智慧和 5G 技術加速沙烏地阿拉伯工業領域的數位轉型和創新。

目錄

第1章調查方法與範圍

第2章執行摘要

第3章美國邊緣人工智慧市場變數、趨勢與範圍

  • 市場展望
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 產業挑戰
  • 美國邊緣人工智慧市場分析工具
    • 產業分析-波特五力分析
    • PESTEL分析
  • 痛點分析

第4章美國邊緣AI市場：組成部分估算與趨勢分析

  • 細分儀表板
  • 美國邊緣人工智慧市場：2022 年和 2030 年組件變化分析
  • 硬體
  • 軟體
  • 邊緣雲端基礎設施
  • 服務

第5章美國邊緣人工智慧市場：最終用途估計與趨勢分析

  • 細分儀表板
  • 美國邊緣人工智慧市場：2024 年和 2030 年最終用途變化分析
  • 家電
    • 美國家電邊緣人工智慧市場：2018 年至 2030 年收益估計與預測
  • 智慧城市
    • 美國智慧城市邊緣人工智慧市場：2018-2030 年收益估計與預測
  • 製造業
    • 美國製造業邊緣人工智慧市場：2018-2030 年收益估計與預測
  • 車
    • 美國汽車邊緣人工智慧市場：2018-2030 年收益估計與預測
  • 政府
    • 美國政府邊緣人工智慧市場：2018 年至 2030 年收益估計與預測
  • 衛生保健
    • 美國醫療保健邊緣人工智慧市場：2018 年至 2030 年收益估計與預測
  • 資訊科技/通訊
    • 美國IT 和通訊業領域邊緣 AI 市場：2018 年至 2030 年收益估計和預測
  • 能源
    • 美國能源邊緣人工智慧市場：2018-2030 年收益估計與預測
  • 零售
    • 美國零售市場邊緣人工智慧：2018-2030 年收益估算與預測
  • 其他
    • 美國邊緣人工智慧市場：2018 年至 2030 年收益估計與預測

第6章 競爭態勢

  • 公司分類
  • 公司市場定位
  • 參與企業概況
  • 財務表現
  • 產品基準
  • 公司熱圖分析
  • 戰略地圖
  • 公司簡介/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