비교리스트

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1278997

스마트 빌딩 시장 규모 : 컴포넌트별(솔루션, 서비스), 용도별 및 예측(2023-2032년)

Smart Building Market Size By Component (Solution, Services), By Application & Forecast, 2023-2032
발행일: | 리서치사: Global Market Insights Inc. | 페이지 정보: 영문 164 Pages | 배송안내 : 2-3일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계 스마트 빌딩 시장 규모는 2023년부터 2032년까지 평가할 수 있는 이익을 얻을 것입니다.

건물에서 AI와 IoT의 통합이 진행되면서 산업 성장에 유리하게 작용하고 있습니다. 이러한 기술은 건물 성능에 대한 의미 있는 인사이트와 실시간 데이터를 제공하여 소유주가 건물 운영을 최적화하고 거주자의 안전과 편안함을 향상시키는 데 도움이 됩니다. 감시 카메라와 출입 통제 시스템과 같은 IoT 장치는 점점 더 많은 AI 기반 분석과 통합되어 건물의 보안 및 안전 측면을 개선하고 있습니다.

또한, 이 분야에서 사업을 전개하고 있는 많은 저명한 시장 관계자들은 업계의 지위를 유지하기 위해 지속적으로 제품 혁신에 투자하고 있습니다. 일례로 2022년 11월, Hitachi Elevator(Thailand) Co., Ltd는 태국 및 동남아시아에서 처음으로 본격적인 스마트 빌딩 솔루션 사업을 시작한다고 발표했으며, 디지털 서비스 및 물리적 보안 시스템으로 건물에 가치를 제공하는 것을 목표로 합니다. 제공하는 것을 목표로 하고 있습니다.

전체 스마트 빌딩 산업은 컴포넌트, 애플리케이션, 지역에 따라 구분됩니다.

컴포넌트에 따라 서비스 부문의 스마트 빌딩 산업 규모는 2022년 250억 달러 이상에 달할 것으로 예상됩니다. 전문 빌딩 서비스의 높은 가용성은 부문 성장을 위한 강력한 범위를 창출하고 있습니다. 또한, 빌딩 서비스 사업자들은 생산성, 정확성, 안전성을 높이기 위해 첨단 기술과 장비를 활용하는 데 주력하고 있습니다. 또한, 건물의 에너지 성능을 평가하기 위한 에너지 감사 및 평가도 중요시되고 있으며, 이는 장기적으로 이 부문의 이익을 증가시킬 것입니다.

용도별로는 주거용 애플리케이션의 시장 규모가 2022년 적정 평가액을 기록했습니다. 스마트 홈자동화의 발전이 이 부문의 전망을 형성하고 있습니다. 실제로 스마트 홈의 센서 기술은 엄청난 지지를 받고 있습니다. 모션 센서, 거주 센서, 광 센서 및 환경 센서는 이제 더 정확하고 반응이 빠르다. 특히 점유 센서는 조명, 난방, 환기 및 공조(HVAC) 시스템을 제어하는 데 사용할 수 있으며 점유율에 따라 설정을 자동으로 조정하여 에너지 효율성을 보장 할 수 있습니다.

지역별로 보면 유럽의 스마트 빌딩 시장 점유율은 2023년부터 2032년까지 상당한 CAGR로 확대될 것으로 예상됩니다. 이 지역에서는 에너지 위기가 진행됨에 따라 에너지 효율이 높은 시스템에 대한 관심이 높아지면서 스마트 빌딩 개념의 채택을 촉진하고 있습니다. 프랑스 정부는 경제 및 사회 회복 계획의 일환으로 공공 건물의 에너지 효율 개선을 위해 5,000만 유로(미화 5,300만 달러)를 투자할 것이라고 발표했습니다.

또한, ABB Limited와 같이 혁신을 우선시하는 주요 산업 기업의 존재는 이 지역의 시장 성장을 더욱 촉진하고 있습니다.

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 스마트 빌딩 업계 인사이트

  • COVID-19의 발생에 의한 영향
  • 러시아·우크라이나 전쟁의 영향 분석
  • 중국과 미국의 무역 전쟁의 영향
  • 밸류체인에 대한 영향
  • 스마트 빌딩 업계 생태계 분석
    • 하드웨어 프로바이더
    • 자동화 및 테크놀러지 프로바이더
    • 클라우드 서비스 프로바이더
    • 유통 채널 분석
    • 최종사용자
    • 벤더 매트릭스
  • 테크놀러지와 혁신 전망
    • AI/머신러닝
    • IoT
    • BIM
    • 블록체인
    • 엣지 애널리틱스
    • 디지털 트윈
  • 스마트 빌딩 아키텍처
  • 스마트 빌딩 진화
  • 이익률 분석
  • 규제 상황
  • 특허 분석
  • 주요 대처와 뉴스
  • 업계에 대한 영향요인
    • 성장 촉진요인
      • 빌딩 솔루션의 IoT와 AI 통합 확대
      • 에너지 소비 절감을 위한 정부 이니셔티브
      • 스마트 시티 프로젝트에 대한 투자 증가
      • 거주자 쾌적성과 안전성에 대한 주목 상승
      • 지속가능한 목표 달성을 향한 관심 상승
    • 업계의 잠재적 위험과 과제
      • 고액의 투자 비용
      • 데이터 프라이버시에 관한 정부 방침
  • 성장성 분석
  • Porters 분석
  • PESTEL 분석

제4장 경쟁 상황, 2022년

  • 서론
  • 기업 시장 점유율, 2022년
  • 주요 스마트 빌딩 프로바이더 경쟁 분석, 2022년
    • Microsoft Corporation
    • Intel Corporation
    • ABB LTD
    • Huawei
    • Hitachi LTD
    • Johnson Control
  • 경쟁 포지셔닝 매트릭스
  • 전략적 전망 매트릭스

제5장 스마트 빌딩 시장 : 컴포넌트별

  • 주요 동향, 컴포넌트별
  • 솔루션
    • 에너지 관리
    • 인프라 관리
    • 안전·보안 관리
    • 네트워크 관리
    • 워크플레이스 관리
  • 서비스
    • 컨설팅
    • 디플로이먼트와 통합
    • 인프라 감시·관리

제6장 스마트 빌딩 시장 : 용도별

  • 주요 동향, 용도별
  • 상업시설
  • 주택용

제7장 스마트 빌딩 시장 : 지역별

  • 주요 동향, 지역별
  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 영국
    • 독일
    • 프랑스
    • 스웨덴
    • 네덜란드
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 한국
    • ANZ
  • 라틴아메리카
    • 브라질
    • 멕시코
  • MEA
    • 사우디아라비아
    • UAE
    • 남아프리카공화국

제8장 기업 개요

  • ABB Ltd
  • Cisco Systems Inc.
  • Honeywell International Inc
  • Huawei Technologies Co., Ltd
  • IBM Corporation
  • Trane Technologies
  • Johnsons Controls
  • Endeavor Business Media
  • Jabil
  • Rexel
  • Legrand
  • Microsoft Corporation
  • Siemens AG
  • Bosch
  • Azbil Corporation
  • Hitachi Ltd
  • Intel Corporation
  • Schneider Electric SE
  • Nexii Building Solutions Inc.
  • PTC
ksm 23.06.05

Global Smart Building Market size will garner appreciable gains over 2023-2032. Surging integration of AI and IoT in buildings is working in favor of industry growth. These technologies help provide meaningful insights and real-time data about the building's performance and help owners optimize building operations and enhance the safety and comfort of occupants. IoT devices, such as surveillance cameras and access control systems, are increasingly being integrated with AI-powered analytics to improve the security and safety aspects of buildings.

Moreover, many prominent market players operating in the field are constantly investing in product innovations to retain their industry standing. Citing an instance, in November 2022, Hitachi Elevator (Thailand) Co., Ltd unveiled the launch of a first-ever full-scale smart building solution business in Thailand and Southeast Asia, which aims to provide value to buildings with digital service and physical security systems.

The overall smart building industry is segmented based on component, application, and region.

Based on components, the smart building industry size from the services segment was worth more than USD 25 billion in 2022. High availability of professional building services is creating a strong scope for segment growth. Moreover, building service providers are focusing on utilizing advanced technology and equipment to enhance productivity, accuracy, and safety in their operations. They are also emphasizing conducting energy audits and assessments to evaluate the energy performance of buildings, which will bolster segmental gains in the long run.

In terms of application, the market size from the residential application segment recorded a decent valuation in 2022. Growing advancements in smart home automation are shaping the segment outlook. In fact, sensor technology in smart homes has gained immense traction. Motion sensors, occupancy sensors, light sensors, and environmental sensors are now more accurate and responsive. Especially, occupancy sensors can be used to control lighting, heating, ventilation, and air conditioning (HVAC) systems, ensuring energy efficiency by automatically adjusting settings based on occupancy.

From the regional perspective, Europe smart building market share will expand at a considerable CAGR from 2023 to 2032. Rising inclination towards energy-efficient systems owing to the ongoing energy crisis in the region has encouraged the adoption of the smart building concept. As part of its Economic and Social Resilience Plan, the government of France has announced to invest EUR 50 million (USD 53 million) to retrofit its public buildings to make them energy-efficient.

Moreover, the presence of key industry players such as ABB Limited and others prioritizing innovations is further streamlining regional market growth.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market definition
  • 1.2 Base estimates & forecast
  • 1.3 Forecast calculations
  • 1.4 Data Sources
    • 1.4.1 Secondary
    • 1.4.2 Primary

Chapter 2 Executive Summary

  • 2.1 Smart building industry 360 degree synopsis, 2018 - 2032
  • 2.2 Business trends
    • 2.2.1 Total addressable market (TAM) trends, 2023 - 2032
  • 2.3 Regional trends
  • 2.4 Component trends
  • 2.5 Application trends

Chapter 3 Smart Building Industry Insights

  • 3.1 Impact of COVID-19 outbreak
    • 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 analysis of Russia-Ukraine war
  • 3.3 Impact of China-US trade war
  • 3.4 Impact on value chain
  • 3.5 Smart building industry ecosystem analysis
    • 3.5.1 Hardware providers
    • 3.5.2 Automation and technology providers
    • 3.5.3 Clous services providers
    • 3.5.4 Distribution channel analysis
    • 3.5.5 End-users
    • 3.5.6 Vendor matrix
  • 3.6 Technology & innovation landscape
    • 3.6.1 AI/Machine learning
    • 3.6.2 IoT
    • 3.6.3 BIM
    • 3.6.4 Blockchain
    • 3.6.5 Edge analytics
    • 3.6.6 Digital twin
  • 3.7 Smart building architecture
  • 3.8 Evolution of smart building
  • 3.9 Profit margin analysis
  • 3.10 Regulatory landscape
    • 3.10.1 North America
    • 3.10.2 Europe
    • 3.10.3 Asia Pacific
    • 3.10.4 Latin America
    • 3.10.5 MEA
  • 3.11 Patent analysis
  • 3.12 Key initiatives & news
  • 3.13 Industry impact forces
    • 3.13.1 Growth drivers
      • 3.13.1.1 Growing IoT and AI integration in building solutions
      • 3.13.1.2 Government initiatives to reduce energy consumption
      • 3.13.1.3 Increasing investment in smart city projects
      • 3.13.1.4 Increasing focus on occupant comfort and safety
      • 3.13.1.5 Rising interest to achieve sustainable goals
    • 3.13.2 Industry pitfalls and challenges
      • 3.13.2.1 High cost of investment
      • 3.13.2.2 Government policies for data privacy
  • 3.14 Growth potential analysis
  • 3.15 Porter's analysis
  • 3.16 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

  • 4.1 Introduction
  • 4.2 Company market share, 2022
  • 4.3 Competitive analysis of major smart building providers, 2022
    • 4.3.1 Microsoft Corporation
    • 4.3.2 Intel Corporation
    • 4.3.3 ABB LTD
    • 4.3.4 Huawei
    • 4.3.5 Hitachi LTD
    • 4.3.6 Johnson Control
  • 4.4 Competitive positioning matrix
  • 4.5 Strategic outlook matrix

Chapter 5 Smart Building Market, By Component

  • 5.1 Key trends, by component
  • 5.2 Solutions
    • 5.2.1 Market estimates and forecast, 2018 - 2032
    • 5.2.2 Energy management
      • 5.2.2.1 Market estimates and forecast, 2018 - 2032
    • 5.2.3 Infrastructure management
      • 5.2.3.1 Market estimates and forecast, 2018 - 2032
    • 5.2.4 Safety and security management
      • 5.2.4.1 Market estimates and forecast, 2018 - 2032
    • 5.2.5 Network management
      • 5.2.5.1 Market estimates and forecast, 2018 - 2032
    • 5.2.6 Workplace management
      • 5.2.6.1 Market estimates and forecast, 2018 - 2032
  • 5.3 Services
    • 5.3.1 Market estimates and forecast, 2018 - 2032
    • 5.3.2 Consulting
      • 5.3.2.1 Market estimates and forecast, 2018 - 2032
    • 5.3.3 Deployment and Integration
      • 5.3.3.1 Market estimates and forecast, 2018 - 2032
    • 5.3.4 Infrastructure Monitoring and Management
      • 5.3.4.1 Market estimates and forecast, 2018 - 2032

Chapter 6 Smart Building Market, By Application

  • 6.1 Key trends, by application
  • 6.2 Commercial
    • 6.2.1 Market estimates and forecast, 2018 - 2032
    • 6.2.2 Market estimates and forecast, by component, 2018 - 2032
      • 6.2.2.1 Market estimates and forecast, by solution, 2018 - 2032
  • 6.3 Residential
    • 6.3.1 Market estimates and forecast, 2018 - 2032
    • 6.3.2 Market estimates and forecast, by component, 2018 - 2032
      • 6.3.2.1 Market estimates and forecast, by solution, 2018 - 2032

Chapter 7 Smart Building 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 application, 2018 - 2032
      • 7.2.3.1 Market estimates and forecast, by component, 2018 - 2032
      • 7.2.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.2.4.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.2.4.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.2.5.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.2.5.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
      • 7.3.3.1 Market estimates and forecast, by component, 2018 - 2032
      • 7.3.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.3.4.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.3.4.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.3.5.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.3.5.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.3.6.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.3.6.3.2 Market estimates and forecast, by solution, 2018-2032
    • 7.3.7 Sweden
      • 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 application, 2018 - 2032
        • 7.3.7.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.3.7.3.2 Market estimates and forecast, by solution, 2018-2032
    • 7.3.8 Netherlands
      • 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 application, 2018 - 2032
        • 7.3.8.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.3.8.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
      • 7.4.3.1 Market estimates and forecast, by component, 2018 - 2032
      • 7.4.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.4.4.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.4.4.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.4.5.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.4.5.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.4.6.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.4.6.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.4.7.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.4.7.3.2 Market estimates and forecast, by solution, 2018-2032
    • 7.4.8 ANZ
      • 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 application, 2018 - 2032
        • 7.4.8.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.4.8.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
      • 7.5.3.1 Market estimates and forecast, by component, 2018 - 2032
      • 7.5.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.5.4.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.5.4.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.5.5.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.5.5.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
      • 7.6.3.1 Market estimates and forecast, by component, 2018 - 2032
      • 7.6.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.6.4.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.6.4.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.6.5.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.6.5.3.2 Market estimates and forecast, by solution, 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 application, 2018 - 2032
        • 7.6.6.3.1 Market estimates and forecast, by component, 2018-2032
        • 7.6.6.3.2 Market estimates and forecast, by solution, 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 Honeywell International Inc
    • 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 Huawei Technologies Co., Ltd
    • 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 IBM Corporation
    • 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 Trane Technologies
    • 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 Johnsons Controls
    • 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 Endeavor Business Media
    • 8.8.1 Business overview
    • 8.8.2 Financial data
    • 8.8.3 Product landscape
    • 8.8.4 Strategic outlook
    • 8.8.5 SWOT analysis
  • 8.9 Jabil
    • 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 Rexel
    • 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 Legrand
    • 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 Microsoft 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 Siemens AG
    • 8.13.1 Business overview
    • 8.13.2 Financial data
    • 8.13.3 Product landscape
    • 8.13.4 Strategic outlook
    • 8.13.5 SWOT analysis
  • 8.14 Bosch
    • 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 Azbil Corporation
    • 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 Hitachi Ltd
    • 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 Intel Corporation
    • 8.17.1 Business overview
    • 8.17.2 Financial data
    • 8.17.3 Product landscape
    • 8.17.4 Strategic outlook
    • 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 Nexii Building Solutions Inc.
    • 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 PTC
    • 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
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