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The Edge AIoT Hardware Playbook: Navigating the Shift from Basic IoT to Embedded Intelligence

Price: Starting at USD 1,950
Publish Date: 17 Aug 2026
Code: PT-4055
Research Type: Presentation
Pages: 19
Actionable Benefits

Actionable Benefits

  • Determine the most suitable edge Artificial Intelligence of Things (AIoT) migration approach for enterprises based on their deployment environments.
  • Identify the core operational needs of the verticals to help them capture the full Return on Investment (ROI) of edge AIoT.
  • Unlock the price premium opportunities by addressing the key human-centric operational bottlenecks.
Research Highlights

Research Highlights

  • Enterprises’ edge AIoT adoption framework, covering their goals, needs, deployment environments, and key deciding factors.
  • Five core operational needs of the verticals, which are crucial in maximizing edge AIoT value.
  • The approaches to address three key human frictions that hinder edge AIoT adoption.
Critical Questions Answered

Critical Questions Answered

  • What is the Total Addressable Market (TAM) size in the long term and which edge AIoT hardware will be the primary driver?
  • What are the key deciding factors when enterprises deploy edge AIoT architecture?
  • How do edge AIoT vendors shape their value propositions from the hardware perspective?
Who Should Read This?

Who Should Read This?

  • Market intelligence leaders seeking to refine go-to-market strategies and value propositions.
  • Product marketing directors aiming to sharpen customer messaging tailored to enterprise needs.
  • Product development leaders looking to align hardware roadmaps with market demand and ensure product-market fit.

Companies Mentioned

Table of Contents

Key Findings

Key Forecasts

Key Companies & Ecosystems

Edge AIoT Definition

Edge AIoT Tier Mapping

Basic IoT Versus Cloud AIoT Versus Edge AIoT

Hardware Migration Approaches

Key Market Drivers

Key Market Restraints

Key Operational Needs by Vertical

Customer Adoption Framework

Go-to-Market Through Human-Element Integration

Conclusions

Companies Mentioned

  • Avnet Silica
  • BrainChip
  • Lenovo
  • NXP Semiconductors
  • Siemens
  • Silicon Labs
  • STMicroelectronics
  • Supermicro