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Market Research Report

Industrial Edge Computing Market Report

Published by IoT Analytics GmbH Product code 967756
Published Content info 248 Pages
Delivery time: 1-2 business days
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Industrial Edge Computing Market Report
Published: October 29, 2020 Content info: 248 Pages
Description

248-page market report with detailed insights including:

  • Market sizing and forecast from 2020 to 2025 (by segments [hardware, software or services], 7+ subsegments [intelligent sensors, intelligent controllers etc.], industries (automotive, chemicals, etc.) and regions [North America, Europe & Central Asia, etc.])
  • Vendor market share analysis (by 7+ subsegments [intelligent sensors, intelligent controllers, etc.])
  • 7 technical considerations for designing edge architectures
  • 9 industrial edge use cases (with deep-dives into 5 of the most popular)
  • Database of 425+ industrial edge computing vendors, organized by specific hardware, software and services offerings
  • Database of 140+ case studies, organized by end user industry, architecture type, use case and other dimensions
  • Top 20 industrial edge computer vendors, with deep-dives
  • End user adoption, based on survey of 150 industrial end users
  • And more

The ‘Industrial Edge Computing Market Report 2020-2025’ is part of IoT Analytics' ongoing coverage of Industrial IoT and Industry 4.0 topics (Industrial IoT Research Workstream). The information presented in this report is based on extensive primary and secondary research, including 30+ interviews with industrial edge computing experts and end users conducted between December 2019 and October 2020. The document includes a definition of industrial edge computing, market projections, adoption drivers, case study analysis, key trends & challenges, and insights from relevant surveys.

FIND OUT:

  • What is Industrial Edge Computing?
  • What are the different types of industrial edges?
  • What is the difference between traditional industrial hardware and intelligent edge hardware?
  • How big is the industrial edge computing market? Market segments include:
    • Hardware
      • Smart sensors
      • Intelligent controllers
      • Intelligent networking equipment
      • Industrial PCs
      • On-Prem Data Centers
    • Software
      • Edge applications (e.g. analytics, control, data ingestion, storage and visualization)
      • Edge platforms
    • Services
  • Which industrial edge computing use cases are gaining the most traction?
  • Who are the leading industrial edge computing vendors and what are their offerings?
  • What are the key trends and challenges associated with industrial edge computing?

AT A GLANCE:

‘Industrial edge computing’ describes intelligent edge computing resources deployed at industrial sites which run applications typically associated with layers 0-2 of the automation pyramid. This report includes detailed definitions of industrial edge computing (including types of architectures), technical considerations, market projections, top vendors / market shares in select segments, competitive landscape, key use cases, case studies and end user adoption.

In-depth definitions of the edge, industrial edge and the intelligent hardware are provided.

The edge is grouped into 3 types: thick, thin and micro.

The report provides an in-depth analysis of the 5 types of compute resources located at the industrial edge.

Chapter 3 explores the technical aspects of the industrial edge.

Market size analysis is provided with splits by software, hardware, services, industry and region.

Hardware and software segment data is further broken down into subsegments.

Leading vendors and market shares are provided for each subsegment.

Detailed profiles of the top 20 industrial edge computing vendors are provided.

The top use cases (based on case study analysis) are provided.

Deep-dives are provided for 5 of the leading use cases.

Edge computing adoption survey data (from our I4.0 adoption survey) is presented.

SELECTED COMPANIES MENTIONED IN THE REPORT

ABB, Advantech, Amazon, AspenTech, AVEVA, Basler, Beckhoff, Bosch Rexroth, Cisco, Cognex, Dell, Emerson, Google, Hewlett Packard Enterprise, Huawei, IBM, Keyence, Microsoft, National Instruments, Nexcom, PTC, Rockwell Automation, S&T AG, Schneider Electric, Sick, Siemens, Sierra Wireless, Stratus Technologies, and more.

Table of Contents

Table of Contents

Executive summary

2. Introduction

  • 2.1. Edge computing definition
  • 2.2. Industrial definition
  • 2.3. Intelligent definition
  • 2.4. Market definition

3. Technical overview

  • 3.1. Overview of industrial edge
  • 3.2. Edge compute hardware
  • 3.3. Components
  • 3.4. Applications
  • 3.5. Infrastructure software
  • 3.6. Edge platforms
  • 3.7. Technical requirements
  • 3.8. Edge architectures

4. Market size and outlook

  • 4.1. Market definition
  • 4.2. Overall market
  • 4.3. Overall market, by segment
  • 4.4. Hardware market, by subsegment
  • 4.5. Software market, by subsegment
  • 4.6. Services market, by subsegment
  • 4.7. Overall market, by region
  • 4.8. Overall market, by industry
  • 4.9. Hardware market, by industry
  • 4.10. Software market, by industry

5. Industrial edge hardware

  • 5.1. Sensors / devices
  • 5.2. Controllers
  • 5.3. Networking equipment
  • 5.4. Computers
  • 5.5. On-prem data centers

6. Industrial edge software

  • 6.1. Edge infrastructure software
  • 6.2. Edge application software
  • 6.3. Edge platform software

7. Industrial edge services

  • 7.1. Industrial edge services

8. Competitive landscape

  • 8.1. Company landscape
  • 8.2. Overview of top 20 industrial industrial edge computing vendors
  • 8.3. Vendor profiles

9. Use cases & case studies

  • 9.1. Case study analysis results
  • 9.2. Use case deep-dives
  • 9.3. Other promising use cases

10. End user view

  • 10.1. Industry 4.0 adoption survey results
  • 10.2. Standards bodies

11. Methodology & market definitions

  • 11.1. Market definitions
  • 11.2. Further definitions
  • 11.3. Sources, process and timeframe
  • 11.4. List of acronyms
  • 11.5. Additional back-up slides

12. About

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