Cover Image
市場調查報告書

全球智慧製造業市場:市場規模·預測·趨勢

Global Smart Manufacturing Market - Segmented by Technology (PLC, SCADA, ERP, DCS, HMI, PLM, MES), Components (Control Device, Robotics, Communication Segment, Sensor), End-user, and Region - Growth, Trends, and Forecast (2018 - 2023)

出版商 Mordor Intelligence LLP 商品編碼 393900
出版日期 內容資訊 英文 114 Pages
商品交期: 最快1-2個工作天內
價格
Back to Top
全球智慧製造業市場:市場規模·預測·趨勢 Global Smart Manufacturing Market - Segmented by Technology (PLC, SCADA, ERP, DCS, HMI, PLM, MES), Components (Control Device, Robotics, Communication Segment, Sensor), End-user, and Region - Growth, Trends, and Forecast (2018 - 2023)
出版日期: 2018年03月07日 內容資訊: 英文 114 Pages
簡介

本報告提供全球智慧製造業市場相關調查,提供您市場主要促進要素·抑制因素分析,各利用技術·零組件·最終用途產業·地區的市場分析,投資機會分析,以及主要企業簡介等資訊。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 市場概要

  • 市場動態
  • 市場推動成長因素
  • 市場成長的抑制因素
  • 產業的魅力:波特的五力分析
  • 市場趨勢,發展及機會

第5章 智慧製造業市場區隔:各利用技術

  • PLC (可編程邏輯控制器)
  • SCADA (Supervisory Control And Data Acquisition)
  • ERP (企業資源規劃)
  • 分散控制系統
  • HMI (人機介面)
  • 產品生命週期管理
  • 製造執行系統

第6章 智慧製造業市場區隔:各零件

  • 控制設備
  • 機器人工學
  • 通訊市場區隔
  • 感測器
  • 其他

第7章 智慧製造業市場區隔:各終端用戶產業

  • 工業生產
    • 商務用·建設用重機
    • 耐用消費品
    • 電力系統
    • 運輸系統
    • 加熱·冷卻系統
  • 製造過程
    • 石油與天然氣
    • 化學品
    • 醫藥品
    • 食品和飲料
    • 石油化學品 & 肥料
    • 其他

第8章 全球智慧製造業市場區隔:各地區

  • 北美
  • 歐洲
  • 亞太地區
  • 中東·非洲
  • 南美

第9章 主要供應商簡介

第10章 投資分析

第11章 投資機會的未來預測

本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

目錄
Product Code: 33675

Description

The Global Smart Manufacturing market was valued at USD 211.97 billion in 2017, and is expected to reach a value of USD 595.29 billion by 2023 at a CAGR of 18.78%, during the forecast period (2018-2023). The scope of the report is limited to products offered by major players for smart manufacturing including Programmable Logic Controller, Supervisory Controller and Data Acquisition, Enterprise Resource and Planning, Distributed Control System. While the end users considered in the scope of the report include Automotive, Semi-Conductor, Oil & Gas, Chemical & Petrochemical, Pharmaceutical, Aerospace & Defense, Food & Beverage, and Mining. The study also emphasizes on various attack points on materials used for smart manufacturing and various regions considered globally.

The continuous growth in the adoption of analytical solutions, and the growing concentration on cost reduction and business process proficiency, is expected to boost the smart manufacturing market. The market also has lucrative prospects, as leading players are offering a technologically advanced solution to small and medium-sized businesses (SMB's). The new solutions are garnering a positive image, as they are specifically designed to overcome the modern-day production challenges.

The ability to ensure maximum efficiency, and efficient utilization of resources, is the major differentiator of smart manufacturing technologies. Consequently, increasing number of manufacturers are using these technologies for setting standards, for effective trade-off decisions, maintenance, operation, risk assessment, control, logistic, business, and operation.

Increasing Deployment of IoT Systems in Manufacturing Leads to Growth of Smart Manufacturing

The next industrial evolution is Industrial Internet of Things, which connects everything within the industrial environment, and provides complete operational visibility, besides allowing real-time decisions. The world leaders are fuelling the connected enterprise strategies, as the industry is moving toward increased usage of IoT applications. The deployment of smarter manufacturing infrastructure, which is based on IoT techniques, helps the companies establish and maintain a wealth of knowledge across control methods, manufacturing, and business processes. The IoT in industry helps connect various sensors & devices through networking, which enable analytics of events and issues. It will provide an overall status of the devices, which in turn will lead to reduced costs, reduced waste, and elimination of loss. The strategic move to Industrial 4.0, which is referred to as the highly industrialized economy moving through IoT and M2M, is greatly helping in increasing efficiency through analytical insight, reducing system failures through predictive analytics, and optimizing the costs by cutting on wastage. For instance, Lido Stone Works, a premium supplier of stone materials, which leveraged IoT and M2M solutions for their industrial automation, experienced a revenue growth by almost 70%, and increased productivity by almost 30%.

PLC Systems Contribute to Reduce Down Time in Manufacturing Scenario

Machine downtime is one of the major factors that affect the manufacturing efficiency. Downtime is defined, as a halt in the manufacturing, or any other industrial process, due to the unavailability of a machine. Machine downtime also results in additional costs for manufacturers, which increases the production cost, thus, resulting in production losses, or decreased profit margin. The additional costs include Idle labor pay, repair of machinery, additional power costs, additional resources, and over time running costs. It is estimated that downtime is responsible for 20% of the total manufacturing losses.

Deployment of PLC systems can help reduce the machine downtime drastically. Since these systems are automated, they can identify and rectify an error without human intervention. The systems are designed to monitor the machine, working continuously to detect any error or malfunctioning of the machinery, and initiate a rapid response. Downtime of machines can be reduced from 20% to 4%, by the use of automated PLC systems. Increased need for reducing the system downtime is boosting the market.

High Growth in Canada Market and Factors for the Growth

Canadian manufacturers rely on innovation and investment in technologies, in order to be competitive. In an environment of increasing input, labor costs and competition from the large global manufacturers, it is necessary to invest in technologies, to remain competitive and maintain the operating margins. With over five heavy-duty assembly plants, over 540 OEM parts manufacturers, 400 dealerships, and many other automotive related industries, Canada is the 9th largest vehicle producer in the world, and this sector is the biggest contributor to the manufacturing industry of the country. The manufacturing industry is estimated to contribute approximately 11% to the Canadian GDP. The manufacturing sector is the largest investor in R&D and implementation of new technologies, in Canada. The government has also taken many initiatives, such as lowering taxes for new investments, various trade agreements with other countries (improved trade opportunities), investments in new technologies, and many skill-training programs, which have helped the manufacturing sector to boom in Canada.

Key Developments in the Market

November 2017 - Yokogawa Electric Corporation announced the release of an enhanced version of the STARDOM network-based control system, in the first quarter of fiscal year 2018. This new version of the STARDOM system is expected to include a new E2 bus interface module that has been developed for use in FCN-500 autonomous controller extension units

November 2017 - Schneider Electric launched a new service designed to help industrial manufacturers modernize their programmable logic control (PLC) systems safely. By reducing downtime and disruption to the operation, the service may provide an easier migration to the company's Modicon M580 programmable automation controllers

September 2017 - Siemens and Fair Friend Enterprise Co entered into a partnership. The aim of the extended partnership was to consolidate the integration of the Siemens Digital Enterprise Suite across the Taiwanese business, and to integrate innovative Siemens digitalization and automation technologies into FFG's machine tools and machine tool technologies

Major Players: ABB LTD., HONEYWELL INTERNATIONAL INC., FANUC CORPORATION, MITSUBISHI ELECTRIC, EMERSON ELECTRIC COMPANY, ROCKWELL AUTOMATION INC., SCHNEIDER ELECTRIC, GENERAL ELECTRIC COMPANY, ROBERT BOSCH GMBH, SIEMENS AG, and YOKOGAWA ELECTRIC CORPORATION, amongst others.

Reasons to Purchase this Report

Examining the effects of adoption of Global Smart Manufacturing in market scenario

Analyzing various perspectives of the market with the help of Porter's five forces analysis

Technology that is expected to dominate the market

Regions that are expected to witness fastest growth during the forecast period

Identifying the latest developments, market shares and strategies employed by the major market players

3 month analyst support, along with the Market Estimate sheet (in Excel)

Customization of the Report

This report can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs

Table of Contents

1. Introduction

  • 1.1 Key study deliverables
  • 1.2 Key study assumptions
  • 1.3 Market definition

2. Research methodology

3. Key Findings

4. Executive summary

5. Market insights

  • 5.1 Market Overview
  • 5.2 Current Market Trends
  • 5.3 Industry Attractiveness - Porter's Five Forces Analysis
    • 5.3.1 Bargaining Power of Suppliers
    • 5.3.2 Bargaining Power of Consumers
    • 5.3.3 Threat of New Entrants
    • 5.3.4 Threat of Substitute Product Types
    • 5.3.5 Competitive Rivalry within the Industry
  • 5.4 Industry Value-Chain Analysis - Upstream, Midstream and Downstream Participants

6. Market Dynamics

  • 6.1 Drivers
    • 6.1.1 Proliferation of Internet of Things
    • 6.1.2 Increasing demand for automation to achieve efficiency and quality
    • 6.1.3 Need for compliance and government support for digitization
  • 6.2 Restraints
    • 6.2.1 Concerns regarding data security

7. Global Smart Manufacturing Market Segmentation, and Forecast

  • 7.1 By Technology
    • 7.1.1 Programmable Logic Controller
    • 7.1.2 Supervisory Controller and Data Acquisition
    • 7.1.3 Enterprise Resource and Planning
    • 7.1.4 Distributed Control System
    • 7.1.5 Human Machine Interface
    • 7.1.6 Product Lifecycle Management
    • 7.1.7 Manufacturing Execution System
    • 7.1.8 Others
  • 7.2 By Components
    • 7.2.1 Control Device
    • 7.2.2 Robotics
    • 7.2.3 Communication Segment
    • 7.2.4 Sensor
    • 7.2.5 Others
  • 7.3 By End-users
    • 7.3.1 Automotive
    • 7.3.2 Semiconductor
    • 7.3.3 Oil & Gas
    • 7.3.4 Chemical & Petrochemical
    • 7.3.5 Pharmaceutical
    • 7.3.6 Aerospace & Defense
    • 7.3.7 Food & Beverage
    • 7.3.8 Mining
    • 7.3.9 Others
  • 7.4 By Region
    • 7.4.1 North America
      • 7.4.1.1 United States
      • 7.4.1.2 Canada
    • 7.4.2 Europe
      • 7.4.2.1 United Kingdom
      • 7.4.2.2 Germany
      • 7.4.2.3 Others
    • 7.4.3 Asia-Pacific
      • 7.4.3.1 China
      • 7.4.3.2 India
      • 7.4.3.3 Japan
      • 7.4.3.4 Others
    • 7.4.4 Latin America
      • 7.4.4.1 Brazil
      • 7.4.4.2 Mexico
      • 7.4.4.3 Others
    • 7.4.5 Middle East & Africa

8. Competitive Intelligence - Company Profiles

  • 8.1 ABB Ltd.
  • 8.2 John Deere
  • 8.3 Honeywell International Inc.
  • 8.4 Fanuc Corp
  • 8.5 Mitsubishi Electric
  • 8.6 Emerson Electric Company
  • 8.7 Rockwell Automation Inc.
  • 8.8 Schneider Electric
  • 8.9 General Electric Company
  • 8.10 Robert Bosch GmbH
  • 8.11 Siemens AG List not exhaustive
  • 8.12 Yokogawa Electric Corporation *List not exhaustive

9. Investment analysis

  • 9.1 Recent mergers and acquisitions
  • 9.2 Investment scenario and opportunities

10. Future of Smart Manufacturing Market

Back to Top