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市场调查报告书

工业4.0及智慧制造业的引进

Industry 4.0 & Smart Manufacturing Adoption

出版商 IoT Analytics GmbH 商品编码 924082
出版日期 内容资讯 英文 286 Pages
商品交期: 最快1-2个工作天内
价格
工业4.0及智慧制造业的引进 Industry 4.0 & Smart Manufacturing Adoption
出版日期: 2020年01月31日内容资讯: 英文 286 Pages
简介

本报告涵括工业4.0及智慧制造业,提供全球制造企业的技术引进现状,制造企业的需求,课题,及工业4.0的其他方面等相关分析。

第1章 概要·主要调查结果

第2章 调查手法·定义

第3章 工业4.0的简介

  • IoT及工业4.0
  • 定义
  • 工业4.0及智慧制造业的8个Lens
  • Lens1:技术
  • Lens2:利用案例
  • Lens3:供应商
  • Lens4:配接器
  • Lens5:成功因素
  • Lens6:架构
  • Lens7:地区
  • Lens8:产业

第4章 全球工业4.0引进情形

  • 要点
  • 概要
  • 引进率:各地区
  • 引进率:各技术
  • 引进率:各利用案例
  • 引进率:预算
  • 引进率:各技术的预算
  • 引进率:预算支出
  • 引进率:各技术的预算支出
  • 引进率:预算的充实
  • 引进率:技术渗透率
  • 优点/ROI
  • 优点/ROI:各技术
  • 优点/ROI:法规遵守
  • 课题
  • 课题:各技术
  • 课题:各教育
  • 课题:人才招聘
  • 课题:资料隐私

第5章 最受欢迎的技术供应商

  • 要点
  • 前3名供应商
  • 前20名供应商
  • 主要供应商:各技术

第6章 主要技术引进企业

  • 要点
  • 前3名供应商
  • 前十大供应商、其他

第7章 主要成功因素

  • 要点
  • 概要
  • 成功因素、其他

第8章 主要IT/OT/IoT架构 & 通讯协定

  • 要点
  • 连接资产:概要,企业明细,需要的时间
  • 硬体设备 & 通讯协定类型
  • 工作负载:概要,各轨占有率,没有变化,评论
  • 公共云端
  • 私有云端
  • 内部部署资料中心
  • 工业用电脑/闸道器
  • 控制器
  • 设备
  • 感测器
  • 主要的IT通讯协定
  • 主要的OT/IO通讯协定
  • 主要的数据格式通讯协定
  • 开放原始码工具

第9章 引进:各地区

  • 要点
  • 地区性的差异
  • 北美
  • 欧洲
  • 亚太地区
  • 中国
  • 地区性的差异:各技术
  • 地区性的差异:各技术ROI
  • 地区性的差异:技术预算
  • 地区性的差异:各引进案例
  • 地区性的差异:主要课题
  • 地区性的差异:其他调查结果

第10章 引进:各产业

  • 要点
  • 产业的差异
  • 产业的差异:各引进技术
  • 产业的差异:各技术ROI
  • 产业的差异:技术预算
  • 产业的差异:各引进案例
  • 产业的差异:主要课题
  • 产业的差异:其他调查结果

第11章 引进:各技术

  • 概要
  • 3D印刷
  • 5G
  • 人工智能
  • 扩增实境
  • 自动导引运输车 (AGV)
  • 区块链
  • 云端
  • 聊天机器人
  • 网路安全
  • 数位双胞胎
  • 无人机
  • 边缘运算
  • IoT
  • IoT平台
  • 机械视觉
  • 量子运算
  • 虚拟实境

第12章 引进:利用案例

  • 概要
  • 条件监测
  • 数位服务
  • 用例深入探讨:设备仿真
  • 用例深入探讨:设备即服务
  • 制造业·即服务
  • OTA更新
  • 预知保全
  • 遥控/智慧服务

第13章 附录

目录

The ‘Industry 4.0 & Smart Manufacturing Adoption Report 2020’ is part of IoT Analytics' ongoing coverage of Industrial IoT and Industry 4.0 (Industrial IoT Research Workstream). The information presented in this report is based on an extensive survey with leading manufacturers conducted between July 2019 and October 2019. The purpose is to inform other market participants about the current state of technology adoption with manufacturers across the world, their needs, challenges and many other aspects of their Industry 4.0 initiatives.

FIND OUT:

  • What technologies are manufacturers adopting and to which degree?
  • Which technologies have the highest budget allocation and yield the highest ROI?
  • Which are some of the common vendors of these technologies and how well-perceived are they?
  • What use cases are manufacturers trying to solve and to what degree?
  • Which companies are perceived to be ahead when adopting these technologies and why?
  • What are the dominant success factors when rolling out Industry 4.0 and Smart Manufacturing initiatives?
  • Which architectures and protocols are in use for connected assets and how is this expected to change?
  • How is Industry 4.0 different in China than elsewhere?
  • How do all of the above vary by region (NA, EU, APAC), by size of company (SME, Mid-sized, MNC) and by industry (e.g., Auto, Machinery, Process)?

AT A GLANCE:

Industry 4.0 technology adoption is not ubiquitous. Since being unveiled at Hannover Messe in 2011, Industry 4.0 has become a global term to describe the 4th industrial revolution. This report builds on the work done in 2018 around defining and sizing the Industry 4.0 and Smart Manufacturing Market, and looks at the current state of Industry 4.0 adoption from the end users' perspectives. IoT Analytics surveyed 150 OT and IT decision makers from manufacturing companies across the globe in order to understand Industry 4.0 adoption trends. North America emerged as leader in overall Industry 4.0 adoption (36%) and is home to some of the most popular suppliers of these technologies in Microsoft, IBM and Amazon. Europe and Asia trailed in Industry 4.0 adoption (27% and 20%, respectively) for a variety of reasons, which are explored in-depth in the report.

The report takes a deep dive into the technologies (17 in total), use cases (8 in total), challenges (8 in total), most popular vendors (top 20) and leading adopters (top 30) related to Industry 4.0 adoption.

Adoption rates for each of the 17 Industry 4.0 technologies are provided, including breakdowns by region, industry and company size (breakdowns not pictured below).

Each of the 17 Industry 4.0 technologies is explored in-depth, including analysis of ROI, budget, challenges, key vendors and focus areas by industry (challenges, vendors and focus areas by industry not pictured below)

Adoption rates for each of the 8 Industry 4.0 use cases are provided, including breakdowns by region, industry and company size (breakdowns not pictured below).

The top challenges associated with deploying Industry 4.0 technologies are explored in-depth, including breakdowns by region, industry and specific technology (breakdowns not pictured below).

The most popular vendors are ranked by number of mentions and organized by the types of technologies they offer.

30 leading adopters of Industry 4.0 technologies are identified, and profiles of the top 12 are provided.

39 success factors are identified , and deep-dives are provided on the top 9 (deep-dives not pictured below)

METHODOLOGY

DEFINITION OF INDUSTRY 4.0

“The use of contemporary IoT building blocks and/or specific supporting technologies that enable manufacturers to integrate various data sources, achieve higher OEE, reduce costs, or improve other KPIs relevant to the production setup; mostly in conjunction with rolling out new or improved use cases”

SELECTED COMPANIES FROM THE REPORT:

3D Systems, ABB , Accenture, Alibaba, AT&T, Autodesk, AWS, Baidu, Boeing, Bosch, BMW, Cisco, Cognex, COMAU, Daifuku, Dassault Systèms, DJI, Droneup, Ericsson, FANUC, Foxconn, General Electric, Google, HP, HTC, Huawei, IBM, Intel, KUKA, Microsoft, Nokia, Oculus, Oracle, Palo Alto Networks, PTC, Rockwell Automation, SAP, Schneider Electric, Siemens, Stratasys, Swisslog, Symantec, TCS, Tesla, Toyota, Universal Robotics, Verizon, VMware and 300+ more.

Table of Contents

1. Overview & Main Findings

  • Main Research Findings

2. Report Methodology & Definitions

  • Methodology overview
  • Survey sample details
  • Industry mapping
  • Survey questions

3. Introduction to Industry 4.0

  • IoT and Industry 4.0
  • Definition

8. lenses of Industry 4.0 & Smart Manufacturing

  • Lens 1: Technologies
  • Lens 2: Use Cases
  • Lens 3: Vendors
  • Lens 4: Adopters
  • Lens 5: Success factors
  • Lens 6: Architectures
  • Lens 7: Regions
  • Lens 8: Industries

4. State of global Industry 4.0 Adoption

  • Key takeaways
  • Overview
  • Adoption rates - by region
  • Adoption rates - by technology
  • Adoption rates - by use case
  • Adoption rates - budget
  • Adoption rates - budget by technology
  • Adoption rates - budget spending
  • Adoption rates - budget spending by tech
  • Adoption rates - budget sufficiency
  • Adoption rates - technology penetration
  • Benefits/ROI
  • Benefits /ROI - by technology
  • Benefits/ROI - regulation compliance
  • Challenges
  • Challenges - by technology
  • Challenges - by education
  • Challenges - talent acquisition
  • Challenges - data privacy

5. Most popular technology vendors

  • Key takeaways
  • Top 3 vendors
  • Top 20 vendors
  • Top vendor by technology

6. Leading technology adopters

  • Key takeaways
  • Top 3 adopters
  • Top 10 adopters
  • Next top 20 adopters
  • Vendor X
  • Vendor X
  • Vendor X
  • Vendor X
  • Vendor X
  • Vendor X, Vendor X, Vendor X
  • Vendor X, Vendor X, Vendor X, Vendor X

7. Key implementation success factors

  • Key takeaways
  • Overview
  • Success factors - quotes
  • Deep-dive #1: Factor X
  • Deep-dive #2: Factor X
  • Deep-dive #3: Factor X
  • Deep-dive #4: Factor X
  • Deep-dive #5: Factor X
  • Deep-dive #6 & #7: Factor X & Factor X
  • Deep-dive #8 & #9: Factor X & Factor X
  • Success factors - further quotes

8. Leading IT/OT/IoT architectures & protocols

  • Key takeaways
  • Connecting assets - overview
  • Connecting assets - enterprise breakdown
  • Connecting assets - time requirements
  • Hardware & protocol types
  • Workloads - overview
  • Workloads - share by track
  • Workloads - no change
  • Workloads - comments
  • Public cloud
  • Private cloud
  • On-premise data centers
  • Industrial PCs/Gateways
  • Controllers
  • Devices
  • Sensors
  • Leading IT protocols
  • Leading OT/IO protocols
  • Leading data format protocols
  • Open source tools

9. Adoption by region

  • Key takeaways
  • Regional differences
  • North America
  • Europe
  • APAC
  • China
  • Regional differences by technology
  • Regional differences by technology ROI
  • Regional differences by technology budget
  • Regional differences by use case adoption
  • Regional differences by top challenges
  • Regional differences - other findings

10. Adoption by industry

  • Key takeaways
  • Industry differences
  • Industry differences by technology adoption
  • Industry differences by technology ROI
  • Industry differences by technology budget
  • Industry differences by use case adoption
  • Industry differences by top challenges
  • Industry differences - other findings

11. Adoption by technology

  • Overview
  • Technology deep-dive: 3D printing
  • Technology deep-dive: 5G
  • Technology deep-dive: Artificial Intelligence
  • Technology deep-dive: Augmented Reality
  • Technology deep-dive: Automated Guided Vehicles (AGVs)
  • Technology deep-dive: Blockchain
  • Technology deep-dive: Cloud
  • Technology deep-dive: Cobots
  • Technology deep-dive: Cybersecurity
  • Technology deep-dive: Digital Twin
  • Technology deep-dive: Drones
  • Technology deep-dive: Edge Computing
  • Technology deep-dive: IoT
  • Technology deep-dive: IoT Platforms
  • Technology deep-dive: Machine Vision
  • Technology deep-dive: Quantum Computing
  • Technology deep-dive: Virtual Reality

12. Adoption by use cases

  • Overview
  • Use case deep-dive: Condition Monitoring
  • Use case deep-dive: Digital Services
  • Use case deep-dive: Equipment simulation
  • Use case deep-dive: Equipment-as-a-service
  • Use case deep-dive: Manufacturing-as-a-service
  • Use case deep-dive: Over-the-air (OTA) updates
  • Use case deep-dive: Predictive Maintenance
  • Use case deep-dive: Remote / Smart service

13. Appendix

  • Industry 4.0 technology usage
  • Positioning on controversial statements
  • About IoT Analytics
  • Other reports by IoT Analytics
  • Information and contact