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改變工業生產的智能自動化技術

Intelligent Automation Technologies Transforming Industrial Manufacturing

出版商 Frost & Sullivan 商品編碼 913141
出版日期 內容資訊 英文 43 Pages
商品交期: 最快1-2個工作天內
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改變工業生產的智能自動化技術 Intelligent Automation Technologies Transforming Industrial Manufacturing
出版日期: 2019年09月24日內容資訊: 英文 43 Pages
簡介

本報告研究工業生產的智能自動化技術,討論工業自動化迫在眉睫的智能技術主要進步,聚焦機器人技術應用的主要市場投入企業、併購、合作、融資,提供智能自動化相關產品和案例研討,分析製造業導入智能自動化的主要課題、和主要成長機會等情報。

第1章 摘要整理

第2章 工業生產智能自動化的實現技術

  • 工業生產中機器學習的角色
  • 製造業自動化市場中擴增實境 (AR) 和混合實境 (MR) 的角色
  • 工業自動化領域的自動物料搬運系統角色

第3章 整體製造市場的智能自動化技術展望

  • 推動智能自動化技術導入的主要因素
  • 產業投入企業關注開發用於智能自動化的自動化平台
  • 自動化平台實現有效培訓,改善顧客關係管理
  • AI平台及機器人技術在推動製造業智能自動化技術方面發揮關鍵作用
  • 智能自動化技術對各市場的影響
  • 智能自動化技術對各市場的影響相關見解
  • 智能自動化技術區域分析

第4章 說明製造業中智能自動化技術作用的案例研討

  • 使用RPA平台管理複雜供應鏈
  • 使用AR平台提升生產設施產能
  • 開發AR平台以提升產能、縮短時間

第5章 創新生態系統

  • 機器人流程自動化 (RPA) 目的在解決工業自動化所面臨的課題
  • IoT在智能平台技術方面正取得進步
  • 製造業為了提升產能採用自主型機器人

第6章 全球創新指標

  • 推動智能自動化技術開發的融資創製
  • 工業應用的機器學習相關專利增加
  • 推動工業、倉庫機器人等工業自動化的其他研究領域
  • 合作及併購是推動技術開發的關鍵策略創製
  • 製造業中實施智能自動化的主要課題

第7章 成長機會和策略分析

  • 人工智能在工業環境中進入認知運算時代(Cognitive Era)
  • 連網及聚合的實現技術為製造產業鋪路
  • 自動化智能技術的技術ROADMAP
  • 策略見解

第8章 產業聯絡資訊

目錄
Product Code: D8E0

Opportunities for Robotic Process Automation and Artificial Intelligence in Industrial Operations

Intelligent automation is driven by artificial intelligence (AI) technologies. In industrial operations, AI acts as the catalyst to increase the productivity in the operations. Three types of artificial technology are identified as a game-changer in industrial operations in which these technologies are digitalizing and streamlining the value chain process in the operations, and becoming crucial applications in all levels and in departments of companies. Robotics process automation (RPA), automated storage and retrieval (ASR), augmented reality (AR), and mixed reality (MR) have begun to be widely employed by companies and organizations in industrial operations.

Noteworthy AI platforms that are capable of automating and digitizing industrial operations with impact intensity are also discussed thoroughly. Funding analysis, partnerships, and M&A of AI technologies are highlighted in the report. Key participants in the funding analysis and partnerships are also disclosed. Mega trends, patents trends and direction, and regional trends are also analyzed in the report.

Key topics covered in the study:

  • The key advances in the intelligent technologies that are imminent in industrial automation
  • The key participants, mergers and acquisitions, partnerships, and funding that are focused in leveraging the imminent technologies for robotics
  • Related products in intelligent automation and recent case studies of intelligent automations in industrial operations
  • The key challenges in the employment of intelligent automation in the manufacturing sector
  • Global Innovation Indicators encouraging development of intelligent automation technologies
  • Growth Opportunities and Strategic Insights.

Table of Contents

1.0 Executive Summary

  • 1.1 Research Scope
  • 1.2 TechVision - Research Process and Methodology
  • 1.3 Key Findings
  • 1.3 Key Findings (continued)

2.0 Technologies Enabling Intelligent Automation in Industrial Manufacturing

  • 2.1 Role of Machine Learning in Industrial Manufacturing
  • 2.2 Role of Augmented Reality (AR) and Mixed Reality (MR) in Automating Manufacturing Sector
  • 2.3 Role of Automated Material Handling Systems in Industrial Automation

3.0 Outlook of Intelligent Automation Technologies across Manufacturing Sector

  • 3.1 Key Drivers Encouraging Adoption of Intelligent Automation Technologies
  • 3.2 Industry Participants Focus on Developing Automation Platforms for Intelligent Automation
  • 3.3 Automation Platforms are Enabling Efficient Training and Improved Customer Relationship Management
  • 3.4 AI platform and Robotics to Play a Key Role in Encouraging Intelligent Automation Technologies in Manufacturing
  • 3.5 Impact of Intelligent Automation on Various Sectors (2019-2023)
  • 3.6 Viewpoints on Impact of Intelligent Automation Technologies in Various Sectors (2019-2023)
  • 3.7 Regional Analysis on Intelligent Automation Technologies

4.0 Case Studies illustrating the Role of Intelligent Automation Technologies in the Manufacturing Industry

  • 4.1 Management of Complex Supply Chain using RPA platform
  • 4.2 Increasing Productivity in the Manufacturing Facility using AR Platform
  • 4.3 Development of AR Platform for Increase in Productivity and Reduced Downtime

5.0 Innovation Ecosystem

  • 5.1 Robotic Process Automation (RPA) Aims to Solve Challenges Faced in Industrial Automation
  • 5.2 IoT is Garnering Advancements in Intelligent Platform Technologies
  • 5.3 Autonomous Robots are Being Deployed in Manufacturing to Improve Productivity

6.0 Global Innovation Indicators

  • 6.1 Funding Initiatives Encouraging Development of Intelligent Automation Technologies
  • 6.2 Increased Patents Published in Machine Learning for Industrial Applications
  • 6.3 Other Research Areas Encouraging Industrial Automation Include Industrial and Warehouse Robots
  • 6.4 Partnerships and Mergers & Acquisitions are Key Strategic Initiatives Encouraging Technology Development
  • 6.5 Key Challenges in Implementing Intelligent Automation in Manufacturing

7.0 Growth Opportunities and Strategic Insights

  • 7.1 Artificial Intelligence to Enter into Cognitive Era in the Industrial Environment
  • 7.2 Technologies Enabling Connectivity and Convergence to Pave the Way in the Manufacturing Sector
  • 7.3 Technology Roadmap for Automation Intelligent Technologies (2019-2027)
  • 7.4 Strategic Insights

8.0 Industry Contacts

  • 8.1 Industry Contacts
  • Legal Disclaimer
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