工业 4.0 实施分析（2022 年）

在本报告中，我们分析了全球製造业中工业 4.0 的实施情况，并根据对 500 名製造商高级管理人员的采访，调查了以下项目。

• 智能工厂战略的介绍现状和工业4.0相关的7个战略（按地区和行业）
• 受访者 KPI（关键绩效指标）和改进计划的重要性（基于 27 个 KPI 列表项）
• 业务决策者和一致性：按框架/按联盟
• 投资执行/计划状态：15 家智能製造公司和 16 种互联产品的用例（按地区/行业）
• 参与智能工厂项目的供应商
• 最大的技术挑战：受访者面临的问题
• 其他

本报告中回答的问题

• 对于製造商而言，最重要的智能工厂 KPI 是什么？
• 在运营和产品中采用最多的工业 4.0 用例有哪些？
• 谁是工业 4.0 项目的决策者？
• 哪些技能差距阻碍了製造商从概念验证 (PoC) 转向商业部署？
• 製造商如何采购他们的软件以及他们在哪里托管？
• 未来三年製造商计划如何购买软件？
• 公司在哪里运行其关键工作负载？
• 工业 4.0 项目中最常涉及哪些类型的供应商？
• 保护生产车间的最常用技术有哪些？
• 製造商如何保护他们的互联产品？

本报告从以下七个方面观察智能工厂技术的实施情况。

• 1. 策略
• 2. KPI（关键绩效指标）
• 3. 决策制定和框架
• 4. 用例采用
• 5. 部署到云端边缘
• 6. 供应商摘要
• 7. 任务

本报告中的主要公司

内容

第 1 章执行摘要

第 2 章工业 4.0 概述

第三章分析技术

第 4 章工业 4.0 战略

第 5 章智能工厂 KPI（关键绩效指标）

第 6 章决策和框架

第 7 章采用工业 4.0 用例

• a.概述
• b. 详细信息：智能製造的用例
• c. 详细信息：智能产品的用例/功能

第 8 章。部署方法（云和边缘）

第 9 章供应商

第 10 章：任务

第十一章附录

第12章 IoT Analytics

217-page report on the state of Industry 4.0 adoption based on the input from 500 senior executives in manufacturing companies including:

• Implementation state of smart factory strategy and 7 more strategies related to industry 4.0 across different regions and industries

• Importance and planned improvement of respondents' KPIs across a list of 27 different KPIs

• The decision makers and alignment of companies with different frameworks/consortia

• Adoption and planned investment for 15 smart manufacturing and 16 connected products use cases across regions and industries

• Vendors involved in smart factory projects

• Biggest technical challenges faced by respondents

• And more

The “Industry 4.0 Adoption Report 2022” is part of IoT Analytics' ongoing coverage of industrial IoT. The information presented in this report is based on extensive research and an extensive survey of 500 senior executives in manufacturing companies.

The purpose of this document is to inform interested parties of the current state of adoption of Industry 4.0 use cases across manufacturers through the IoT Analytics research lens.

Questions answered in this report:

• What smart factory KPIs are most important to manufacturers?

• What are the most adopted Industry 4.0 use cases for operations and products?

• Who are the decision makers in Industry 4.0 projects?

• What are some of the skill gaps that inhibit manufacturers from moving from proof of concept (PoC) to commercial deployment?

• How do manufacturers procure software and where do they host it?

• How do manufacturers plan to purchase software in the next three years?

• Where do companies run key workloads?

• What kind of vendors are most often involved in Industry 4.0 projects?

• What are the most common techniques to secure the shop floor?

• How do manufacturers secure connected products?

At a glance:

Definition (as per IoT Analytics)

"The use of modern I4.0 tech stack elements (1) or specific supporting technologies (2) that enable manufacturers to integrate various data sources, achieve higher OEE, reduce costs, or improve other KPIs relevant to a production setup (manufacturing of goods, mining, and oil and gas), mostly in conjunction with rolling out new or improved use cases."

The Industry 4.0 Adoption Report 2022 looks at the adoption of smart factories technologies through seven lenses.

• 1. Strategy
• 2. KPIs
• 3. Decision makind and frameworks
• 4. Use case adoption
• 5. Deployment in the cloud and on the edge
• 6. Vendors
• 7. Challenges

This report includes statistics on the progress in the implementation of 8 different strategies across regions, industries, and company sizes.

The results show the importance each KPI has for the smart factory strategy across a list of 27 KPIs.

This publication includes a detailed breakdown of the final decision makers by decision type.

This report includes extended statistics for smart manufacturing and connected products use cases, including adoption rate and planned investments across regions and industries.

IoT Analytics includes detailed deep dives into the adoption and planned investment for each of the:

• 15 smart manufacturing use cases

• 16 smart product use cases

Selected companies mentioned in the report:

Table of Contents

1. Executive summary

2. Introduction to Industry 4.0

3. Methodology

4. Industry 4.0 strategy

5. Smart factory KPIs

6. Decision making and frameworks

7. Adoption of Industry 4.0 use cases

• a. Overview
• b. Deep dive: Smart manufacturing use cases
• c. Deep dive: Smart product use cases/features

8. Deployment (cloud and edge)

9. Vendors

10. Challenges

11. Appendix

12. About IoT Analytics