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시장보고서
상품코드
1266822
스마트 팩토리 시장 규모 : 컴포넌트별(하드웨어[센서, 산업용 로봇, 머신 비전, 통신 기술 디바이스], 소프트웨어[HMI, PLM, SCADA, DCS], PLC, ERP, 서비스), 용도별 및 세계 예측(2023-2032년)Smart Factory Market Size By Component (Hardware [Sensors, Industrial Robots, Machine Vision, Communication Technology Devices], Software [HMI, PLM, SCADA, DCS], PLC, ERP, Service), By Application & Global Forecast, 2023 - 2032 |
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세계 스마트 팩토리 시장 규모는 Industry 4.0 개념에 대한 투자 증가로 2032년까지 크게 성장할 것으로 예상됩니다.
2023년 2월, 아이오와 주지사와 아이오와 주 경제개발국은 동주의 제조 능력을 강화하기 위해 Manufacturing 4.0 기술 투자 프로그램에 200만 달러를 추가 투자할 것이라고 발표했습니다.
인도와 같은 신흥 경제 국가들도 Make in India 구상을 통해 Industry 4.0 컨셉에 대한 투자를 적극적으로 실시하고 있으며 시장 성능을 밀어 올리고 있습니다. 한편, 이 분야에서 사업을 전개하는 많은 기업들이 제품 혁신에 투자하고 있으며, 이는 업계 상황에 긍정적인 영향을 미치고 있습니다. 예를 들어, 2022년 10월 다국적 컨그로머리트 기업인 하니웰 인터내셔널 잉크는 엔드 투 엔드 생산 시각화 플랫폼을 여러 사용자에게 제공하는 제조 우수 플랫폼 출시를 발표했습니다. 이런 런치는 생명과학 산업의 디지털화를 촉진하면서 상호운용성과 투명성을 확보하고 효율성을 극대화합니다.
스마트 팩토리 시장 전체는 컴포넌트, 최종 사용, 지역에 따라 분할됩니다.
컴포넌트를 기반으로 하드웨어 부문의 스마트 팩토리 산업 규모는 2032년까지 크게 성장할 것으로 예상됩니다. 하드웨어 부문에서의 제품 혁신의 증가는 부문 확대에 기여합니다. 예를 들어, 2022년 9월, 주요 전자 제조사인 Mitsubishi Electric India는 인도에서 스마트 제조를 가속화하기 위해 M80V 및 M800V 시리즈 컴퓨터화 수치 제어 장치를 출시했습니다. 이것은 효율적인 워크플로우를 실현하기 위해 무선 LAN이 내장된 최초의 컴퓨터화된 수치 제어 장치입니다.
최종사용자별로는 헬스케어 분야의 스마트 팩토리 시장 점유율이 2032년까지 300억 달러 이상이 될 것으로 예상됩니다. 스마트 제조 솔루션은 자산의 효과적인 활용을 촉진하고 의료기기의 가치를 높이는 시간을 단축할 수 있습니다. 또한 의료기기 분야의 디지털화를 통해 제품의 무결성을 확보하고 규제 기준에 맞출 수 있습니다. 의료기기 분야에서의 급속한 디지털화는 2032년까지 스마트 팩토리 구상의 채용을 촉진할 것입니다.
지역별로 아시아태평양의 스마트 팩토리 시장 규모는 2032년까지 상당한 성장을 보일 것으로 예상됩니다. 이 지역의 의료기기 산업의 성장으로 스마트 팩토리 솔루션에 대한 수요가 높아지고 있습니다. IBEF에 따르면 인도의 의료기기 부문은 2025년까지 500억 달러의 평가 금액을 달성할 수 있다고 밝혔다. Make in China와 Make in India와 같은 정부의 노력은 이 지역의 신흥국 제조 능력을 향상시키고 이 지역의 시장 점유율을 확대시킬 것입니다.
목차
제1장 조사 방법과 범위
제2장 주요 요약
제3장 스마트 팩토리 시장 업계 인사이트
- COVID-19 팬데믹의 영향도 분석
- 러시아·우크라이나 전쟁의 영향
- 중국과 미국의 무역전쟁의 영향
- 산업 생태계 분석
- 제조업체
- 컴포넌트 제공자
- 기술 공급자
- 시스템 통합자
- 유통 채널 분석
- 최종사용자
- 벤더 매트릭스
- 이익률 분석
- 특허 분석
- 주요 뉴스 & 대처
- 기술 상황
- 인공지능(AI)
- 머신러닝(ML)
- 가상현실(VR), 증강현실(AR)
- 빅데이터
- 산업용 사물 인터넷(IIoT)
- 자동화 및 로보틱스
- 적층 인쇄
- 클라우드 커넥티비티
- 5G
- 규제 상황에 대해
- 국제규격
- ISO/DIS 37173
- 인텔리전트 빌딩·인터내셔널, 제14권 제6호(2022년)
- 북미
- 미국 에너지 효율화 경제 협의회
- HR2044- 스마트 빌딩 추진법
- 유럽
- 건축물 에너지법(GEG)
- ISO 16739:2013
- 아시아태평양
- 주택·도시·농촌 개발성
- 제42조의2
- 라틴아메리카
- IEEE PES
- LGEEPA
- MEA
- REIPPP 프로그램 - 남아프리카공화국
- 국제규격
- 업계에 미치는 영향요인
- 촉진요인
- 스마트 팩토리에 5G 네트워크 통합이 급증 중
- 산업용 로봇의 도입이 진행되는
- Industry 4.0에 대한 투자 확대
- 에너지 효율의 중시의 증가
- 스마트 팩토리 기술에서 IoT나 AI의 도입이 진행된다
- 업계의 잠재적 위험 및 과제
- 기술적인 전문지식과 숙련된 노동력이 부족하다
- 사이버 공격이나 정보 유출의 우려가 높아진다
- 촉진요인
- 성장성 분석
- Porter's 분석
- PESTEL 분석
제4장 경쟁 상황, 2022년
- 소개
- 각사의 시장 점유율, 2022년
- 주요 시장 기업, 2022년
- ABB Limited
- Cisco
- Fujitsu
- General Electric
- Honeywell International
- Mitsubishi Electric
- Emerson Electric Co.
- 경쟁의 포지셔닝 매트릭스
- 전략적 전망 매트릭스
제5장 스마트 팩토리 시장 : 컴포넌트별
- 스마트 팩토리 시장, 컴포넌트별, 2022년·2032년
- 하드웨어
- 소프트웨어
- 서비스
제6장 스마트 팩토리 시장 : 최종 용도별
- 스마트 팩토리 시장 : 최종 용도별 2022년·2032년
- 자동차
- 항공우주·방위
- 에너지·전력
- 음식
- 헬스케어
- 전기·전자
- 석유 및 가스 분야
- 기타
제7장 스마트 팩토리 시장 : 지역별 내역
- 주요 동향 : 지역별
- 북미
- 미국
- 캐나다
- 유럽
- 영국
- 독일
- 프랑스
- 이탈리아
- 러시아
- 아시아태평양
- 중국
- 인도
- 일본
- 한국
- 싱가포르
- 라틴아메리카
- 브라질
- 멕시코
- MEA
- 사우디아라비아
- UAE
- 남아프리카공화국
제8장 기업 개요
- ABB Ltd.
- Cisco Systems, Inc.
- Cognex Corporation
- Emerson Electric Co.
- FANUC
- Fujitsu
- General Electric
- Hewlett Packard Enterprise
- Honeywell International Inc.
- IBM Corporation
- KUKA AG
- Mitsubishi Electric Corporation
- National Instruments Corporation
- Omron Corporation
- Robert Bosch GmbH
- Rockwell Automation Inc.
- SAP SE
- Schneider Electric SE
- Siemens Energy AG
- Yokogawa Electric Corporation
Global Smart Factory Market size is expected to grow considerably through 2032, owing to rising investments in the Industry 4.0 concept. In February 2023, the governor of Iowa and the Iowa Economic Development Authority announced that the state would invest an additional USD 2 million in Manufacturing 4.0 Technology Investment Program to strengthen its manufacturing capability.
Developing economies such as India are also making heavy investments in the Industry 4.0 concept through Make in India Initiative, thus, boosting market performance. On the other hand, many players operating in the field are investing in product innovations, which is also positively impacting the industry landscape. For instance, in October 2022, Honeywell International Inc., a multinational conglomerate corporation, announced the launch of its manufacturing excellence platform, which provides end-to-end production visualization platforms to multiple users. This launch will ensure interoperability and transparency and maximize efficiency while promoting digitalization in the life sciences industry.
The overall smart factory market is divided on the basis of component, end-use, and region.
Based on components, the smart factory industry size from the hardware segment is anticipated to grow considerably through 2032. Growing product innovations in the hardware segment are contributing to segment expansion. For instance, in September 2022, Mitsubishi Electric India, a leading electronics manufacturer, announced the launch of its M80V and M800V series Computerized Numerical Controllers to accelerate smart manufacturing in India. It is the first-ever computerized numerical controller equipped with a built-in wireless LAN for efficient workflow.
In terms of end-use, the smart factory market share from the healthcare segment is expected to be worth over USD 30 billion by 2032. Smart manufacturing solutions enhance asset utilization and offer shorter time-to-value of medical devices. They also help the medical device sector digitalize its operations which helps ensure product integrity and comply with regulatory standards. Rapid digitalization in the medical device space will favor the adoption of the smart factory concept through 2032.
Regionally speaking, Asia Pacific smart factory industry size is anticipated to see considerable gains through 2032. Growing medical device industry in the region has increased the demand for smart factory solutions. As per IBEF, the medical device sector in India has the potential to attain a valuation of USD 50 billion by 2025. Favorable government initiatives, such as Make in China and Make in India, have advanced the manufacturing capabilities of emerging economies in the region, which will favor the expansion of regional market share.
Table of Contents
Chapter 1 Methodology & Scope
- 1.1 Market scope and definitions
- 1.2 Base estimates & calculations
- 1.3 Forecast calculations
- 1.4 Data Sources
- 1.4.1 Primary
- 1.4.2 Data mining sources
- 1.4.2.1 Paid
- 1.4.2.2 Public
Chapter 2 Executive Summary
- 2.1 Global smart factory industry 360 degree synopsis, 2018-2032
- 2.2 Business trends
- 2.3 Regional trends
- 2.4 Component trends
- 2.5 End-use trends
Chapter 3 Smart Factory Market Industry Insights
- 3.1 Impact analysis of COVID-19 pandemic
- 3.1.1 North America
- 3.1.2 Europe
- 3.1.3 Asia Pacific
- 3.1.4 Latin America
- 3.1.5 MEA
- 3.2 Impact of the Russia-Ukraine war
- 3.3 Impact of China-U.S. trade war
- 3.4 Industry ecosystem analysis
- 3.4.1 Manufacturer
- 3.4.2 Component provider
- 3.4.3 Technology provider
- 3.4.4 System integrator
- 3.4.5 Distribution channel analysis
- 3.4.6 End users
- 3.4.7 Vendor matrix
- 3.5 Profit margin analysis
- 3.6 Patent analysis
- 3.7 Key news & initiatives
- 3.8 Technology landscape
- 3.8.1 Artificial Intelligence (AI)
- 3.8.2 Machine Learning (ML)
- 3.8.3 Virtual Reality (VR) and Augmented Reality (AR)
- 3.8.4 Big data
- 3.8.5 Industrial Internet of Things (IIoT)
- 3.8.6 Automation & robotics
- 3.8.7 Additive printing
- 3.8.8 Cloud connectivity
- 3.8.9 5G
- 3.9 Regulatory landscape
- 3.9.1 International standards
- 3.9.1.1 ISO/DIS 37173
- 3.9.1.2 Intelligent Buildings International, Volume 14, Issue 6 (2022)
- 3.9.2 North America
- 3.9.2.1 American Council for Energy-Efficient Economy
- 3.9.2.2 H.R.2044-Smart Building Acceleration Act
- 3.9.3 Europe
- 3.9.3.1 Buildings Energy Act (GEG)
- 3.9.3.2 ISO 16739:2013
- 3.9.4 Asia Pacific
- 3.9.4.1 Ministry of Housing and Urban-Rural Development
- 3.9.4.2 Article 42-2
- 3.9.5 Latin America
- 3.9.5.1 IEEE PES
- 3.9.5.2 LGEEPA
- 3.9.6 MEA
- 3.9.6.1 REIPPP Programme-South Africa
- 3.9.1 International standards
- 3.10 Industry impact forces
- 3.10.1 Growth drivers
- 3.10.1.1 Surge in the integration of 5G networks into smart factory
- 3.10.1.2 Rising adoption of industrial robots
- 3.10.1.3 Growing investments in industry 4.0
- 3.10.1.4 Increasing emphasis on energy efficiency
- 3.10.1.5 Growing adoption of IoT and AI in smart factory technologies
- 3.10.2 Industry pitfalls & challenges
- 3.10.2.1 Lack of technical expertise and skilled labor
- 3.10.2.2 Growing concerns of cyber-attack and data breach
- 3.10.1 Growth drivers
- 3.11 Growth potential analysis
- 3.12 Porter's analysis
- 3.13 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
- 4.1 Introduction
- 4.2 Company market share, 2022
- 4.3 Major market players, 2022
- 4.3.1 ABB Limited
- 4.3.2 Cisco
- 4.3.3 Fujitsu
- 4.3.4 General Electric
- 4.3.5 Honeywell International
- 4.3.6 Mitsubishi Electric
- 4.3.7 Emerson Electric Co.
- 4.4 Competitive positioning matrix
- 4.5 Strategic outlook matrix
Chapter 5 Smart Factory Market, By Component
- 5.1 Smart factory market, by component, 2022 & 2032
- 5.2 Hardware
- 5.3 Software
- 5.4 Services
Chapter 6 Smart Factory Market, By End-Use
- 6.1 Smart factory market, by end-use 2022 & 2032
- 6.2 Automotive
- 6.3 Aerospace & defense
- 6.4 Energy & power
- 6.5 Food & beverages
- 6.6 Healthcare
- 6.7 Electrical & electronics
- 6.8 Oil & gas
- 6.9 Others
Chapter 7 Smart Factory Market, By Region
- 7.1 Key trends, by region
- 7.2 North America
- 7.2.1 Market estimates and forecast, 2018 - 2032
- 7.2.2 Market estimates and forecast, by component, 2018 - 2032
- 7.2.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.2.4 U.S.
- 7.2.4.1 Market estimates and forecast, 2018 - 2032
- 7.2.4.2 Market estimates and forecast, by component, 2018 - 2032
- 7.2.4.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.2.5 Canada
- 7.2.5.1 Market estimates and forecast, 2018 - 2032
- 7.2.5.2 Market estimates and forecast, by component, 2018 - 2032
- 7.2.5.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.3 Europe
- 7.3.1 Market estimates and forecast, 2018 - 2032
- 7.3.2 Market estimates and forecast, by component, 2018 - 2032
- 7.3.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.3.4 UK
- 7.3.4.1 Market estimates and forecast, 2018 - 2032
- 7.3.4.2 Market estimates and forecast, by component, 2018 - 2032
- 7.3.4.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.3.5 Germany
- 7.3.5.1 Market estimates and forecast, 2018 - 2032
- 7.3.5.2 Market estimates and forecast, by component, 2018 - 2032
- 7.3.5.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.3.6 France
- 7.3.6.1 Market estimates and forecast, 2018 - 2032
- 7.3.6.2 Market estimates and forecast, by component, 2018 - 2032
- 7.3.6.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.3.7 Italy
- 7.3.7.1 Market estimates and forecast, 2018 - 2032
- 7.3.7.2 Market estimates and forecast, by component, 2018 - 2032
- 7.3.7.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.3.8 Russia
- 7.3.8.1 Market estimates and forecast, 2018 - 2032
- 7.3.8.2 Market estimates and forecast, by component, 2018 - 2032
- 7.3.8.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.4 Asia Pacific
- 7.4.1 Market estimates and forecast, 2018 - 2032
- 7.4.2 Market estimates and forecast, by component, 2018 - 2032
- 7.4.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.4.4 China
- 7.4.4.1 Market estimates and forecast, 2018 - 2032
- 7.4.4.2 Market estimates and forecast, by component, 2018 - 2032
- 7.4.4.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.4.5 India
- 7.4.5.1 Market estimates and forecast, 2018 - 2032
- 7.4.5.2 Market estimates and forecast, by component, 2018 - 2032
- 7.4.5.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.4.6 Japan
- 7.4.6.1 Market estimates and forecast, 2018 - 2032
- 7.4.6.2 Market estimates and forecast, by component, 2018 - 2032
- 7.4.6.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.4.7 South Korea
- 7.4.7.1 Market estimates and forecast, 2018 - 2032
- 7.4.7.2 Market estimates and forecast, by component, 2018 - 2032
- 7.4.7.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.4.8 Singapore
- 7.4.8.1 Market estimates and forecast, 2018 - 2032
- 7.4.8.2 Market estimates and forecast, by component, 2018 - 2032
- 7.4.8.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.5 Latin America
- 7.5.1 Market estimates and forecast, 2018 - 2032
- 7.5.2 Market estimates and forecast, by component, 2018 - 2032
- 7.5.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.5.4 Brazil
- 7.5.4.1 Market estimates and forecast, 2018 - 2032
- 7.5.4.2 Market estimates and forecast, by component, 2018 - 2032
- 7.5.4.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.5.5 Mexico
- 7.5.5.1 Market estimates and forecast, 2018 - 2032
- 7.5.5.2 Market estimates and forecast, by component, 2018 - 2032
- 7.5.5.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.6 MEA
- 7.6.1 Market estimates and forecast, 2018 - 2032
- 7.6.2 Market estimates and forecast, by component, 2018 - 2032
- 7.6.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.6.4 Saudi Arabia
- 7.6.4.1 Market estimates and forecast, 2018 - 2032
- 7.6.4.2 Market estimates and forecast, by component, 2018 - 2032
- 7.6.4.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.6.5 UAE
- 7.6.5.1 Market estimates and forecast, 2018 - 2032
- 7.6.5.2 Market estimates and forecast, by component, 2018 - 2032
- 7.6.5.3 Market estimates and forecast, by end-use, 2018 - 2032
- 7.6.6 South Africa
- 7.6.6.1 Market estimates and forecast, 2018 - 2032
- 7.6.6.2 Market estimates and forecast, by component, 2018 - 2032
- 7.6.6.3 Market estimates and forecast, by end-use, 2018 - 2032
Chapter 8 Company Profiles
- 8.1 ABB Ltd.
- 8.1.1 Business Overview
- 8.1.2 Financial Data
- 8.1.3 Product Landscape
- 8.1.4 Strategic Outlook
- 8.1.5 SWOT Analysis
- 8.2 Cisco Systems, Inc.
- 8.2.1 Business Overview
- 8.2.2 Financial Data
- 8.2.3 Product Landscape
- 8.2.4 Strategic Outlook
- 8.2.5 SWOT Analysis
- 8.3 Cognex Corporation
- 8.3.1 Business Overview
- 8.3.2 Financial Data
- 8.3.3 Product Landscape
- 8.3.4 Strategic Outlook
- 8.3.5 SWOT Analysis
- 8.4 Emerson Electric Co.
- 8.4.1 Business Overview
- 8.4.2 Financial Data
- 8.4.3 Product Landscape
- 8.4.4 Strategic Outlook
- 8.4.5 SWOT Analysis
- 8.5 FANUC
- 8.5.1 Business Overview
- 8.5.2 Financial Data
- 8.5.3 Product Landscape
- 8.5.4 Strategic Outlook
- 8.5.5 SWOT Analysis
- 8.6 Fujitsu
- 8.6.1 Business Overview
- 8.6.2 Financial Data
- 8.6.3 Product Landscape
- 8.6.4 Strategic Outlook
- 8.6.5 SWOT Analysis
- 8.7 General Electric
- 8.7.1 Business Overview
- 8.7.2 Financial Data
- 8.7.3 Product Landscape
- 8.7.4 Strategic Outlook
- 8.7.5 SWOT Analysis
- 8.8 Hewlett Packard Enterprise
- 8.8.1 Business overview
- 8.8.2 Financial data
- 8.8.3 Product Landscape
- 8.8.4 SWOT analysis
- 8.9 Honeywell International Inc.
- 8.9.1 Business Overview
- 8.9.2 Financial Data
- 8.9.3 Product Landscape
- 8.9.4 Strategic Outlook
- 8.9.5 SWOT Analysis
- 8.10 IBM Corporation
- 8.10.1 Business Overview
- 8.10.2 Financial Data
- 8.10.3 Product Landscape
- 8.10.4 Strategic Outlook
- 8.10.5 SWOT Analysis
- 8.11 KUKA AG
- 8.11.1 Business Overview
- 8.11.2 Financial Data
- 8.11.3 Product Landscape
- 8.11.4 Strategic Outlook
- 8.11.5 SWOT Analysis
- 8.12 Mitsubishi Electric Corporation
- 8.12.1 Business Overview
- 8.12.2 Financial Data
- 8.12.3 Product Landscape
- 8.12.4 Strategic Outlook
- 8.12.5 SWOT Analysis
- 8.13 National Instruments Corporation
- 8.13.1 Business Overview
- 8.13.2 Financial Data
- 8.13.3 Product Landscape
- 8.13.4 SWOT Analysis
- 8.14 Omron Corporation
- 8.14.1 Business Overview
- 8.14.2 Financial Data
- 8.14.3 Product Landscape
- 8.14.4 Strategic Outlook
- 8.14.5 SWOT Analysis
- 8.15 Robert Bosch GmbH
- 8.15.1 Business Overview
- 8.15.2 Financial Data
- 8.15.3 Product Landscape
- 8.15.4 Strategic Outlook
- 8.15.5 SWOT Analysis
- 8.16 Rockwell Automation Inc.
- 8.16.1 Business Overview
- 8.16.2 Financial Data
- 8.16.3 Product Landscape
- 8.16.4 Strategic Outlook
- 8.16.5 SWOT Analysis
- 8.17 SAP SE
- 8.17.1 Business overview
- 8.17.2 Financial Data
- 8.17.3 Product Landscape-
- 8.17.5 SWOT Analysis
- 8.18 Schneider Electric SE
- 8.18.1 Business Overview
- 8.18.2 Financial Data
- 8.18.3 Product Landscape
- 8.18.4 Strategic Outlook
- 8.18.5 SWOT Analysis
- 8.19 Siemens Energy AG
- 8.19.1 Business Overview
- 8.19.2 Financial Data
- 8.19.3 Product Landscape
- 8.19.4 Strategic Outlook
- 8.19.5 SWOT Analysis
- 8.20 Yokogawa Electric Corporation
- 8.20.1 Business Overview
- 8.20.2 Financial Data
- 8.20.3 Product Landscape
- 8.20.4 Strategic Outlook
- 8.20.5 SWOT Analysis
