Research Expert: Sarah Overall
  • Published: Jul 2025
  • Pages: 150
  • SKU: IRTNTR80655

  • Latest News- AI Hardware For Edge Devices Market: Smartphones is expected to lead the Device segment during 2025-2029

    The AI Hardware For Edge Devices Market is being driven by Critical imperative for low latency and real time processing

    The AI Hardware For Edge Devices Market is expected to grow at a CAGR of 20% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 32019.9 million. The global AI hardware for edge devices market is experiencing a significant shift as generative AI capabilities move from cloud data centers to on-device execution. This transition marks a pivotal moment, expanding the scope of edge computing beyond traditional use cases of inferencing for classification and prediction. Instead, it enables content creation and intricate, conversational reasoning on personal and enterprise devices. This transformation is not just an incremental improvement; it's a game-changer, redefining the essence of edge computing and fueling a renewed wave of hardware innovation. Key drivers for this trend include heightened privacy concerns, the need for zero latency interaction, and the pursuit of true personalization. 

    Get more information on AI Hardware For Edge Devices Market by requesting a sample report

    Which Factors Are Causing a Surge in Market Growth?

    The market is segmented based on

    • Device
      • Smartphones
      • Surveillance cameras
      • Wearables
      • Smart speakers
      • Edge servers
    • Processor Type
      • NPU
      • GPU
      • ASIC
      • CPU
      • FPGA
    • Power Rating
      • 1 to 3W
      • Less than 1W
      • 3 to 5W
      • More than 5W
    • Industry Application
      • Consumer devices
      • Automotive
      • Healthcare
      • Manufacturing
      • Retail
    • Geography
      • APAC
        • China
        • India
        • Japan
        • South Korea
      • North America
        • Canada
        • US
      • Europe
        • Germany
        • UK
        • France
      • Middle East and Africa
        • South America

        According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows: 

        • Critical imperative for low latency and real time processing
        • Escalating concerns for data privacy, security, and operational resilience
        • Symbiotic proliferation of IOT and advent of on-device generative AI

        However, the market also witnesses some limitations, which are as follows:

        • Overcoming stringent power consumption and thermal management constraints
        • Prohibitive development costs and complex system integration
        • Pervasive fragmentation of software ecosystems and AI models

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        Market Scope in AI Hardware For Edge Devices Market Research Report

        Market Scope

        Report Coverage

        Details

        Page number

        278

        Base year

        2024

        Historic period

        2019-2023

        Forecast period

        2025-2029

        Growth momentum & CAGR

        Accelerate at a CAGR of 20%

        Market growth 2025-2029

        USD 32019.9 million

        Market structure

        fragmentation

        YoY growth 2024-2025(%)

        17.5

        Key countries

        US, China, Japan, South Korea, Germany, UK, India, Canada, France, and Israel

        Competitive landscape

        Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks

        Find out which segment is leading the market by accessing the free PDF report

        Research Analysis Overview

        The AI Hardware For Edge Devices market encompasses technologies such as on-device inference, model compression techniques, edge AI frameworks, IOT device integration, data privacy protocols, network bandwidth management, latency optimization strategies, hardware acceleration methods, AI model deployment, robustness testing, fault tolerance mechanisms, power consumption optimization, security threat mitigation, system-level integration, performance benchmarking, hardware reliability, firmware development, software updates, system architecture, AI algorithm optimization, hardware design choices, custom ASICs, integrated sensors, embedded operating systems, platform-specific drivers, real-time analytics, edge application development, application programming interfaces, and development tools. These technologies enable the deployment of AI models on edge devices, ensuring data privacy, reducing latency, optimizing power consumption, and enhancing system reliability.

        Market Research Overview

        The Edge Computing Hardware market encompasses businesses specializing in edge computing solutions, featuring AI accelerator chips and low-power processors for real-time processing. This segment falls under the broader IT software industry, which includes application, system, and database management software providers. According to Technavio, the IT software market size is determined by the consolidated revenue of companies engaged in IT software production, including cloud-based services. The Application Software sector focuses on creating software for specific business or consumer applications, excluding interactive home entertainment and systems software providers.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.


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        Email: media@technavio.com
        Website: www.technavio.com/

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