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PUBLISHER: VDC Research Group, Inc. | PRODUCT CODE: 1397874

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PUBLISHER: VDC Research Group, Inc. | PRODUCT CODE: 1397874

Embedded & Edge AI Hardware: Unrelenting Demand to Add Solution Value

PUBLISHED:
PAGES: 39 Pages/13 Exhibits; plus 375 Exhibits/Excel
DELIVERY TIME: 1-2 business days
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Demand for embedded and edge AI is intensifying across operational environments to unlock new untapped value for providers and end users. This report examines the global market for merchant embedded and edge AI hardware, including processors, boards, modules, and integrated systems, offering extensive market sizing, competitive landscape analysis, and demand-side findings from our extensive survey of developers and engineers.

Table of Contents

Executive Summary

  • Key Findings

Global Market Overview

  • Recent Developments
  • Competitive Landscape

Regional Forecasts

  • Geopolitical Disputes Limit AI Technology
  • Sharing (but Stir Domestic Innovation)

Comparative Forecast by Vertical Market

  • Automotive
  • Communications & Networking
  • Industrial Automation and Control
  • Emerging Markets

End User Insights

  • Industry Adaptation to Security Requirements
  • Implementation of Embedded Security Hardware, Software, & FOTA Software
  • The Future of Automotive Technology

Comparative Forecast by Embedded AI Accelerator

End-User Insights

  • Security Emerges as a Top Consideration for AI Vendor Selection
  • AI/ML/DL Processing Requirements are Ramping with Machine Vision
  • Inferencing in Current Projects is Far from One-Size-Fits-All

Competitive Landscape

  • Competitive Landscape Overview
  • Embedded & Edge AI Vendor Profiles

Scope & Methodology

  • Artificial Intelligence, Machine Learning, & Neural Networks
  • The IoT/Embedded Edge
  • Methodology

Report Definitions

About VDC Research

Report Exhibits

  • Exhibit 1: Forecasted Global Shipments of Embedded and Edge AI Hardware Segmented by Form Factor, 2022-2027 (Millions of Dollars)
  • Exhibit 2: Use of Machine Learning/Neural Networks on Current & Future Projects (Percentage of Respondents)
  • Exhibit 3: Recent Embedded & Edge AI Partnerships and Collaborations
  • Exhibit 4: Forecasted Global Shipments of Embedded and Edge AI Hardware Segmented by Region, 2022-2027 (Millions of Dollars)
  • Exhibit 5: Global Shipments of Embedded and Edge AI Processors Segmented by Vertical Market, 2022 (Percentage of Revenue)
  • Exhibit 6: Global Shipments of Embedded and Edge AI Boards and Modules Segmented by Vertical Market, 2022 (Percentage of Revenue)
  • Exhibit 7: Global Shipments of Embedded and Edge AI Systems and Servers Segmented by Vertical Market, 2022 (Percentage of Revenue)
  • Exhibit 8: Leading Embedded & Edge AI Applications Segmented by Vertical Market
  • Exhibit 9: Global Shipments of Embedded & Edge AI Hardware Segmented by Accelerator Type, 2022 (Percentage of Revenue)
  • Exhibit 10: Most Important Elements When Considering AI Vendors/Integrators (Percentage of Respondents)
  • Exhibit 11: AI/ML/Deep Learning Processing Requirements on Current Project with Machine Vision Segmented by Bit Width (Percentage of Respondents)
  • Exhibit 12: Target Architecture(s) Used for Inferencing In Current Project (Percentage of Respondents)
  • Exhibit 13: Global Shipments of Embedded and Edge AI Hardware Segmented by Leading Vendors, 2022 (Percentage of Revenue)

Table of Contents

Executive Summary

  • Key Findings

Global Market Overview

  • Recent Developments
  • Competitive Landscape

Regional Forecasts

  • Geopolitical Disputes Limit AI Technology
  • Sharing (but Stir Domestic Innovation)

Comparative Forecast by Vertical Market

  • Automotive
  • Communications & Networking
  • Industrial Automation and Control
  • Emerging Markets

End User Insights

  • Industry Adaptation to Security Requirements
  • Implementation of Embedded Security Hardware, Software, & FOTA Software
  • The Future of Automotive Technology

Comparative Forecast by Embedded AI Accelerator

End-User Insights

  • Security Emerges as a Top Consideration for AI Vendor Selection
  • AI/ML/DL Processing Requirements are Ramping with Machine Vision
  • Inferencing in Current Projects is Far from One-Size-Fits-All

Competitive Landscape

  • Competitive Landscape Overview
  • Embedded & Edge AI Vendor Profiles

Scope & Methodology

  • Artificial Intelligence, Machine Learning, & Neural Networks
  • The IoT/Embedded Edge
  • Methodology

Report Definitions

About VDC Research

Report Exhibits

  • Exhibit 1: Forecasted Global Shipments of Embedded and Edge AI Hardware Segmented by Form Factor, 2022-2027 (Millions of Dollars)
  • Exhibit 2: Use of Machine Learning/Neural Networks on Current & Future Projects (Percentage of Respondents)
  • Exhibit 3: Recent Embedded & Edge AI Partnerships and Collaborations
  • Exhibit 4: Forecasted Global Shipments of Embedded and Edge AI Hardware Segmented by Region, 2022-2027 (Millions of Dollars)
  • Exhibit 5: Global Shipments of Embedded and Edge AI Processors Segmented by Vertical Market, 2022 (Percentage of Revenue)
  • Exhibit 6: Global Shipments of Embedded and Edge AI Boards and Modules Segmented by Vertical Market, 2022 (Percentage of Revenue)
  • Exhibit 7: Global Shipments of Embedded and Edge AI Systems and Servers Segmented by Vertical Market, 2022 (Percentage of Revenue)
  • Exhibit 8: Leading Embedded & Edge AI Applications Segmented by Vertical Market
  • Exhibit 9: Global Shipments of Embedded & Edge AI Hardware Segmented by Accelerator Type, 2022 (Percentage of Revenue)
  • Exhibit 10: Most Important Elements When Considering AI Vendors/Integrators (Percentage of Respondents)
  • Exhibit 11: AI/ML/Deep Learning Processing Requirements on Current Project with Machine Vision Segmented by Bit Width (Percentage of Respondents)
  • Exhibit 12: Target Architecture(s) Used for Inferencing In Current Project (Percentage of Respondents)
  • Exhibit 13: Global Shipments of Embedded and Edge AI Hardware Segmented by Leading Vendors, 2022 (Percentage of Revenue)
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