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예측 정비 시장 시장 규모, 점유율, 동향 분석 보고서 : 컴포넌트별, 솔루션별, 서비스별, 전개별, 기업 규모별, 감시수법별, 최종용도별, 지역별, 부문 동향(2023년-2030년)

Predictive Maintenance Market Size, Share & Trends Analysis Report By Component, By Solution, By Service, By Deployment, By Enterprise Size, By Monitoring Technique, By End-use, By Region, And Segment Forecasts, 2023 - 2030
발행일: | 리서치사: Grand View Research | 페이지 정보: 영문 150 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




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

예측 정비시장의 성장과 동향 :

Grand View Research, Inc.의 최신 조사에 따르면 세계 예측 유지보수 시장 규모는 2023년부터 2030년까지 29.5%의 복합 연간 성장률(CAGR)로 성장하여 2030년에는 601억 3,000만 달러에 달할 것으로 예측됩니다.

AI와 ML과 같은 기술의 진보가 예측 기간 동안 예측 정비 시장의 성장을 가속하는 주요 요인이되었습니다. AI 및 ML 기술은 과거 데이터를 분석하고 패턴을 파악하고 정확한 기계 고장 및 유지 보수 예측을 제공할 수 있습니다. AI 기술은 보다 많은 데이터를 수신함으로써 예측 정비 솔루션의 정확성과 신뢰성을 향상시키고, 기업이 기계 고장 및 생산 정지를 줄이고 업무 효율성과 생산성을 향상시키는 데 도움이 되므로, 시간이 지남에 따라 계속 개선될 것으로 보입니다.

많은 기업들이 예측 정비 솔루션의 도입으로 인한 잠재적인 이점을 인식하기 시작했기 때문에 헬스케어, 에너지, 운송 등 업계에서의 예측 정비 솔루션의 응용도 시장 성장을 가속하는 큰 요인이 되고 있습니다. 기업은 운영의 우수성을 보장하기 위해 디지털 변환을 선택합니다. 이 동향은 IoT, AI, ML 등의 기술과 통합된 예측 정비 솔루션의 채용을 더욱 가속화할 것으로 보입니다. 그러나 이 한계에는 데이터 가격, 복잡한 대화 프로세스, 기술 격차 등에 대한 우려가 포함됩니다.

예측 정비 솔루션 제공업체는 제공하는 기능을 지속적으로 개선하고 있으며 시장에서 견인력이 되고 있습니다. 예측 정비시스템과 자산관리, 기업자원계획, 상태감시 등 스마트 기술의 조합 등의 통합 플랫폼은 소비자 채용률이 증가하고 있습니다. 이러한 솔루션을 사용할 수 있게 되면 기업은 데이터 중심의 의사 결정을 촉진하고, 효율성과 생산성을 향상시키고, 자원을 최적화할 수 있습니다.

클라우드 컴퓨팅 기술의 발전은 예측 메인 라인 시장에 긍정적인 영향을 미칩니다. 클라우드 기반 솔루션은 인프라를 관리하고 기계에 통합된 센서에 의해 생성된 대량의 데이터를 처리하는 데 확장성과 유연성을 제공하기 때문입니다. 클라우드 기반의 예측 정비 솔루션을 제공함으로써 IT 인프라에 필요한 비용이 필요하지 않으므로 보다 광범위한 계층, 특히 중소기업이 쉽게 액세스할 수 있습니다. 예측 정비 시장의 또 다른 큰 동향은 AR이나 VR과 같은 기술의 통합이며, 이를 통해 기술자는 기기의 건전성 데이터와 따라야 할 수리 및 정비 절차를 시각화할 수 있습니다. AR 및 VR 도구는 또한 오류의 가능성을 줄임으로써 수리 작업의 효율성과 효과를 향상시키는 데 도움이 됩니다.

예측 정비 시장 보고서 하이라이트

  • 서비스 분야는 2023년부터 2030년까지 31.0%의 최고 복합 연간 성장률(CAGR)을 기록할 것으로 예측됩니다. 서비스 분야의 성장은 서비스 제공업체가 수치 평가를 사용하여 장비 고장 및 수리의 필요성을 예측하는 예측 모델을 만드는 데 기인합니다.
  • 통합 부문은 2023년부터 2030년까지의 복합 연간 성장률(CAGR)이 29.5%로 가장 높을 것으로 예측됩니다. 통합 부문의 성장은 효율성과 생산성을 향상시킬 수 있는 ERP와 CRM의 통합 솔루션에 기인합니다.
  • 교육 및 컨설팅 분야는 2023년부터 2030년까지 복합 연간 성장률(CAGR)이 31.5%로 가장 높을 것으로 예측됩니다. 교육 및 컨설팅 분야의 성장은 사용되는 기계, 유지보수 정보, 워크플로우 등의 요소를 고려하여 광범위한 비즈니스 대응을 가능하게 하는 맞춤형 예측 정비 전략에 기인합니다.
  • 클라우드 분야는 2023년부터 2030년까지의 복합 연간 성장률(CAGR)이 37.9%로 가장 높을 것으로 예측됩니다. 클라우드 부문의 성장은 특히 많은 양의 데이터를 분석하고 예상되는 기계의 고장 유지 보수/ 수리 일정에 대한 정확한 정보를 제공하는 능력에 기인합니다.
  • 중소기업은 2023년부터 2030년까지의 복합 연간 성장률(CAGR)이 31.6%로 가장 높을 것으로 예측됩니다. 중소기업의 성장은 클라우드 기반의 예측 정비 솔루션 비용이 낮고 중소기업이 IT 인프라에 대한 선행 투자를 피할 수 있기 때문입니다.
  • 오일 분석 부문은 2023년부터 2030년까지 31.5%의 복합 연간 성장률(CAGR)을 나타낼 것으로 예측됩니다. 오일 분석 부문의 성장은 오일 교환, 오염 및 기타 화학적 특성 변화와 같은 예측 처벌 솔루션에서 제공하는 정보로 인한 것입니다.
  • 항공우주 및 방위 부문은 2023년부터 2030년까지 30.6%의 최고의 복합 연간 성장률(CAGR)로 성장할 것으로 예측됩니다. 항공우주 및 방위분야의 성장은 AI와 ML을 통합한 예측 정비 솔루션이 자산의 건전성을 사전 능동적으로 감시하고, 잠재적인 고장을 예측하고, 수리 및 보수의 스케줄을 세울 수 있는 능력 등에 기인 하고 있습니다.
  • 아시아태평양은 2023년부터 2030년까지의 복합 연간 성장률(CAGR)이 31.8%로 가장 높을 것으로 예측됩니다. 아시아태평양의 성장은 구매력 증가, 디지털 인프라 개선, 원재료의 용이한 입수를 통한 저렴한 예측 정비 솔루션의 가용성, 5G 기술의 발전 등에 기인합니다.
  • 예측 정비시장의 각사는 시장에서의 견인력 획득을 목표로 제휴 및 합병 등 전략적 이니셔티브를 내세우고 있습니다. 예를 들어, 2023년 2월, AI 기반 솔루션 검출기 공급업체인 Boon Logic은 후자 회사의 PartnerConnect 파트너 프로그램의 프리미어 멤버로서 소프트웨어 AG와 제휴하여 모든 복잡한 자산에 대한 AI 대응 고속 예측 서비스 조건을 제공합니다. 이 제휴를 통해 양사는 장비의 건강 상태와 상태에 대한 귀중한 인사이트을 제공하고 고장을 피하기 위해 노력했습니다.

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 예측 정비 시장의 변수, 동향, 범위

  • 시장 계통 전망
    • 상위 시장 전망
  • 업계의 밸류체인 분석
  • 시장 역학
    • 시장 성장 촉진요인 분석
    • 시장 성장 억제요인/과제 분석
    • 시장 기회 분석
  • 비즈니스 환경 분석 도구
    • Porter's Five Forces 분석
    • PEST 분석
  • COVID-19의 영향 분석

제4장 예측 정비 시장의 컴퍼넌트의 전망

  • 예측 정비 시장 점유율, 컴포넌트별(2022년-2030년)
  • 솔루션
  • 서비스

제5장 예측 정비 시장 솔루션의 전망

  • 예측 정비시장 점유율, 솔루션별(2022년-2030년)
  • 통합형
  • 독립형

제6장 예측 정비시장의 서비스 전망

  • 예측 정비시장 점유율, 서비스별(2022년-2030년)
  • 통합 및 배포
  • 지원 및 유지 보수
  • 교육 및 컨설팅

제7장 예측 정비시장의 온프레미스 전망

  • 예측 정비시장 점유율, 온프레미스별(2022년-2030년)
  • 클라우드
  • 온프레미스

제8장 예측 정비시장의 기업규모 전망

  • 예측 정비시장 점유율, 기업규모별(2022년-2030년)
  • 중소기업
  • 대기업

제9장 예측 정비 시장의 감시 수법의 전망

  • 예측 정비시장 점유율, 감시수법별(2022년-2030년)
  • 토크 감시
  • 진동 감시
  • 오일 분석
  • 서모그래피
  • 부식 감시
  • 기타

제10장 예측 정비 시장의 최종 용도의 전망

  • 예측 정비 시장 점유율, 최종 용도별(2022년-2030년)
  • 항공우주 및 방위
  • 자동차 및 운송
  • 에너지와 공공사업
  • 헬스케어
  • IT 및 통신
  • 제조업
  • 석유 및 가스
  • 기타

제11장 예측 정비시장 : 지역별 전망

  • 예측 정비시장 점유율, 지역별(2022년-2030년)
  • 북미
    • 시장 추계 및 예측(2018년-2030년)
    • 컴포넌트별(2018년-2030년)
    • 솔루션별(2018년-2030년)
    • 서비스별(2018년-2030년)
    • 전개별(2018년-2030년)
    • 기업 규모별(2018년-2030년)
    • 감시 수법별, 2018년-2030년
    • 최종 용도별(2018년-2030년)
    • 미국
    • 캐나다
  • 유럽
    • 시장 추계 및 예측(2018년-2030년)
    • 컴포넌트별(2018년-2030년)
    • 솔루션별(2018년-2030년)
    • 서비스별(2018년-2030년)
    • 전개별(2018년-2030년)
    • 기업 규모별(2018년-2030년)
    • 감시 수법별, 2018년-2030년
    • 최종 용도별(2018년-2030년)
    • 영국
    • 독일
    • 프랑스
    • 이탈리아
    • 스페인
  • 아시아태평양
    • 시장 추계 및 예측(2018년-2030년)
    • 컴포넌트별(2018년-2030년)
    • 솔루션별(2018년-2030년)
    • 서비스별(2018년-2030년)
    • 전개별(2018년-2030년)
    • 기업 규모별(2018년-2030년)
    • 감시 수법별, 2018년-2030년
    • 최종 용도별(2018년-2030년)
    • 중국
    • 인도
    • 일본
    • 호주
    • 한국
  • 라틴아메리카
    • 시장 추계 및 예측(2018년-2030년)
    • 컴포넌트별(2018년-2030년)
    • 솔루션별(2018년-2030년)
    • 서비스별(2018년-2030년)
    • 전개별(2018년-2030년)
    • 기업 규모별(2018년-2030년)
    • 감시 수법별, 2018년-2030년
    • 최종 용도별(2018년-2030년)
    • 브라질
    • 멕시코
    • 아르헨티나
  • 중동 및 아프리카
    • 시장 추계 및 예측(2018년-2030년)
    • 컴포넌트별(2018년-2030년)
    • 솔루션별(2018년-2030년)
    • 서비스별(2018년-2030년)
    • 전개별(2018년-2030년)
    • 기업 규모별(2018년-2030년)
    • 감시 수법별, 2018년-2030년
    • 최종 용도별(2018년-2030년)
    • 아랍에미리트(UAE)
    • 사우디아라비아
    • 남아프리카

제12장 경쟁 구도

  • 기업의 분류(성숙기업, 신흥기업)
  • 기업 점유율 분석, 2022년
  • 히트맵 분석, 2022년
  • 전략 매핑
  • 기업 프로파일(기업 개요, 실적, 제품 개요, 전략적 이니셔티브)
    • Accenture plc
    • Cisco Systems, Inc.
    • General Electric
    • Honeywell International Inc.
    • Hitachi, Ltd.
    • IBM Corporation
    • Microsoft
    • PTC
    • Robert Bosch GmbH
    • Rockwell Automation
    • SAP SE
    • SAS Institute
    • Schneider Electric SE
    • Siemens
    • Software AG
BJH 23.10.30

Predictive Maintenance Market Growth & Trends:

The global predictive maintenance market size is projected to reach USD 60.13 billion by 2030, registering a CAGR of 29.5% from 2023 to 2030, according to a new study by Grand View Research, Inc.. The advancement in technologies such as AI and ML has been a major factor in driving the growth of the predictive maintenance market over the forecast period. AI and ML technologies enable analysing historical data, identifying patterns, and offering accurate machine failure and maintenance predictions. AI technology will continue to improve over time as it receives more data, thereby helping improve the accuracy and reliability of predictive maintenance solutions, which would help companies reduce machinery breakdown and halt production, which helps improve operational efficiency and productivity.

The application of predictive maintenance solutions in industries such as healthcare, energy, transportation, and others has been another major factor driving the market's growth, as many companies started recognizing the potential benefits of installing predictive maintenance solutions. Companies are opting for digital transformation to ensure operational excellence; this trend will further accelerate the adoption of the predictive eminence solution, which is integrated with technologies such as IoT, AI, and ML. However, this limitation includes concerns regarding data price, complex interaction processes, and skill gaps, among others.

The predictive maintenance solution providers have been constantly improving the functionalities of the offering, which has been gaining traction in the market. Integrated platforms, such as a combination of predictive maintenance systems and smart technologies such as asset management, enterprise resource planning, and condition monitoring, are witnessing increased consumer adoption rates. The availability of such solutions would enable businesses to facilitate data-driven decision-making, improve efficiency; productivity, and optimize resources, among others.

The advancement in cloud computing technologies has positively impacted the predictive mainline market, as cloud-based solutions offer scalability and flexibility in managing infrastructure and processing a large amount of data generated by the sensors integrated into the machinery. The delivery of cloud-based predictive maintenance solutions has made them more accessible to a wider range of audiences, especially SMEs, owing to eliminating the cost of IT infrastructure requirements. Another major trend in the predictive maintenance market is the integration of technologies such as AR and VR, which enable technicians to visualize the health data of the equipment and repair & maintenance procedures to be followed. AR and VR tools further help improve the efficiency and effectiveness of the repair works by reducing the chances of error.

Predictive Maintenance Market Report Highlights:

  • The service segment is projected to witness the highest CAGR of 31.0% from 2023 to 2030. The growth of the service segment can be attributed to service providers using numerical evaluation to create predictive models that predict equipment breakdowns and servicing needs.
  • The integrated segment is projected to witness the highest CAGR of 29.5% from 2023 to 2030. The growth of the integrated segment can be attributed to ERP and CRM integrated solutions enabling improved efficiency and productivity.
  • The training & consulting segment is projected to witness the highest CAGR of 31.5% from 2023 to 2030. The growth of the training & consulting segment can be attributed to a customized predictive maintenance strategy to enable catering to a wide range of businesses considering factors such as the machinery being used, maintenance information, and workflow, among others.
  • The cloud segment is projected to witness the highest CAGR of 37.9% from 2023 to 2030. The growth of the cloud segment can be attributed to the ability to analyse large volumes and data and offer accurate information on the expected machinery failure maintenance/repair schedule, among others.
  • Small and medium enterprises are projected to witness the highest CAGR of 31.6% from 2023 to 2030. The small and medium enterprises' growth can be attributed to the lower cost of cloud-based predictive maintenance solutions, enabling small and medium enterprises to avoid upfront investment into IT infrastructure.
  • The oil analysis segment is projected to witness the highest CAGR of 31.5% from 2023 to 2030. The growth of the oil analysis segment can be attributed to information provided by the predictive penitence solution, including oil change, contamination, and changes in other chemical properties, among others.
  • The aerospace & defense segment is projected to witness the highest CAGR of 30.6% from 2023 to 2030. The growth of the aerospace & defense segment can be attributed to AI and ML integrated predictive maintenance solution ability to proactively monitor the health of the asset, predict potential failure, and schedule repair & maintenance, among others.
  • The Asia Pacific region is projected to witness the highest CAGR of 31.8% from 2023 to 2030. The growth of the Asia Pacific region can be attributed to increasing purchasing power, improving digital infrastructure, availability of cheaper predictive mainline solutions owing to the easy availability of raw materials, and advancement in 5G technology, among others.
  • The companies in the predictive maintenance market have been coming up with strategic initiatives such as partnerships and mergers, among others, aimed at gaining traction in the market. For instance, in February 2023, Boon Logic, a provider of AI-based solution detectors, partnered with Software AG as a Premier member of the latter company's PartnerConnect partner program to provide AI-enabled high-speed prediction service conditions for all complex assets. Through this partnership, the firms aimed to provide valuable insights related to the health and status of equipment to avoid failures.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Methodology Segmentation & Scope
  • 1.2. Information procurement
    • 1.2.1. Purchased database
    • 1.2.2. GVR's internal database
    • 1.2.3. Secondary sources & third-party perspectives
    • 1.2.4. Primary research
  • 1.3. Information analysis
    • 1.3.1. Data analysis models
  • 1.4. Market formulation & data visualization
  • 1.5. Data validation & publishing

Chapter 2. Executive Summary

  • 2.1. Predictive Maintenance Market - Market Snapshot, 2018-2030
  • 2.2. Predictive Maintenance Market - Component Snapshot, 2018-2030
  • 2.3. Predictive Maintenance Market - Solution Snapshot, 2018-2030
  • 2.4. Predictive Maintenance Market - Service Snapshot, 2018-2030
  • 2.5. Predictive Maintenance Market - Deployment Snapshot, 2018-2030
  • 2.6. Predictive Maintenance Market - Enterprise Size Snapshot, 2018-2030
  • 2.7. Predictive Maintenance Market - Monitoring Technique Snapshot, 2018-2030
  • 2.8. Predictive Maintenance Market - End Use Snapshot, 2018-2030
  • 2.9. Predictive Maintenance Market - Competitive Snapshot

Chapter 3. Predictive Maintenance Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
    • 3.1.1. Parent Market Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint/Challenge Analysis
    • 3.3.3. Market Opportunity Analysis
  • 3.4. Business Environment Analysis Tools
    • 3.4.1. Porter's Five Forces Analysis
    • 3.4.2. PEST Analysis
  • 3.5. COVID-19 Impact Analysis

Chapter 4. Predictive Maintenance Market Component Outlook

  • 4.1. Predictive Maintenance Market Share by Component, 2022 & 2030 (USD Billion)
  • 4.2. Solution
    • 4.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Billion)
  • 4.3. Service
    • 4.3.1. Market estimates and forecast, 2018 - 2030 (USD Billion)

Chapter 5. Predictive Maintenance Market Solution Outlook

  • 5.1. Predictive Maintenance Market Share by Solution, 2022 & 2030 (USD Billion)
  • 5.2. Integrated
    • 5.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Billion)
  • 5.3. Standalone
    • 5.3.1. Market estimates and forecast, 2018 - 2030 (USD Billion)

Chapter 6. Predictive Maintenance Market Service Outlook

  • 6.1. Predictive Maintenance Market Share by Service, 2022 & 2030 (USD Billion)
  • 6.2. Integration and Deployment
    • 6.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Billion)
  • 6.3. Support & Maintenance
    • 6.3.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
  • 6.4. Training & Consulting
    • 6.4.1. Market estimates and forecast, 2018 - 2030 (USD Billion)

Chapter 7. Predictive Maintenance Market On-premise Outlook

  • 7.1. Predictive Maintenance Market Share by On-premise, 2022 & 2030 (USD Billion)
  • 7.2. Cloud
    • 7.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Billion)
  • 7.3. On-premise
    • 7.3.1. Market estimates and forecast, 2018 - 2030 (USD Billion)

Chapter 8. Predictive Maintenance Market Enterprise Size Outlook

  • 8.1. Predictive Maintenance Market Share by Enterprise Size, 2022 & 2030 (USD Billion)
  • 8.2. Small and Medium Enterprises
    • 8.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Billion)
  • 8.3. Large Enterprises
    • 8.3.1. Market estimates and forecast, 2018 - 2030 (USD Billion)

Chapter 9. Predictive Maintenance Market Monitoring Technique Outlook

  • 9.1. Predictive Maintenance Market Share by Monitoring Technique, 2022 & 2030 (USD Billion)
  • 9.2. Torque Monitoring
    • 9.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Billion)
  • 9.3. Vibration Monitoring
    • 9.3.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
  • 9.4. Oil Analysis
    • 9.4.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
  • 9.5. Thermography
    • 9.5.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
  • 9.6. Corrosion Monitoring
    • 9.6.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
  • 9.7. Others
    • 9.7.1. Market estimates and forecast, 2018 - 2030 (USD Billion)

Chapter 10. Predictive Maintenance Market End Use Outlook

  • 10.1. Predictive Maintenance Market Share by End Use, 2022 & 2030 (USD Billion)
  • 10.2. Aerospace & Defense
    • 10.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Billion)
  • 10.3. Automotive & Transportation
    • 10.3.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
  • 10.4. Energy & Utilities
    • 10.4.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
  • 10.5. Healthcare
    • 10.5.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
  • 10.6. IT & Telecommunication
    • 10.6.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
  • 10.7. Manufacturing
    • 10.7.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
  • 10.8. Oil & Gas
    • 10.8.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
  • 10.9. Others
    • 10.9.1. Market estimates and forecast, 2018 - 2030 (USD Billion)

Chapter 11. Predictive Maintenance Market: Regional Outlook

  • 11.1. Predictive Maintenance Market Share by Region, 2022 & 2030 (USD Billion)
  • 11.2. North America
    • 11.2.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
    • 11.2.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
    • 11.2.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
    • 11.2.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
    • 11.2.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
    • 11.2.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
    • 11.2.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
    • 11.2.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.2.9. U.S.
      • 11.2.9.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.2.9.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.2.9.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.2.9.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.2.9.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.2.9.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.2.9.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.2.9.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.2.10. Canada
      • 11.2.10.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.2.10.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.2.10.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.2.10.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.2.10.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.2.10.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.2.10.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.2.10.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
  • 11.3. Europe
    • 11.3.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
    • 11.3.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
    • 11.3.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
    • 11.3.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
    • 11.3.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
    • 11.3.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
    • 11.3.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
    • 11.3.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.3.9. U.K.
      • 11.3.9.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.3.9.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.3.9.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.3.9.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.3.9.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.3.9.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.3.9.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.3.9.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.3.10. Germany
      • 11.3.10.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.3.10.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.3.10.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.3.10.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.3.10.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.3.10.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.3.10.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.3.10.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.3.11. France
      • 11.3.11.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.3.11.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.3.11.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.3.11.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.3.11.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.3.11.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.3.11.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.3.11.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.3.12. Italy
      • 11.3.12.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.3.12.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.3.12.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.3.12.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.3.12.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.3.12.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.3.12.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.3.12.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.3.13. Spain
      • 11.3.13.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.3.13.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.3.13.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.3.13.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.3.13.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.3.13.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.3.13.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.3.13.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
  • 11.4. Asia Pacific
    • 11.4.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
    • 11.4.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
    • 11.4.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
    • 11.4.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
    • 11.4.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
    • 11.4.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
    • 11.4.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
    • 11.4.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.4.9. China
      • 11.4.9.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.4.9.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.4.9.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.4.9.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.4.9.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.4.9.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.4.9.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.4.9.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.4.10. India
      • 11.4.10.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.4.10.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.4.10.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.4.10.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.4.10.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.4.10.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.4.10.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.4.10.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.4.11. Japan
      • 11.4.11.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.4.11.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.4.11.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.4.11.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.4.11.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.4.11.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.4.11.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.4.11.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.4.12. Australia
      • 11.4.12.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.4.12.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.4.12.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.4.12.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.4.12.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.4.12.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.4.12.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.4.12.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.4.13. South Korea
      • 11.4.13.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.4.13.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.4.13.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.4.13.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.4.13.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.4.13.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.4.13.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.4.13.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
  • 11.5. Latin America
    • 11.5.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
    • 11.5.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
    • 11.5.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
    • 11.5.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
    • 11.5.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
    • 11.5.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
    • 11.5.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
    • 11.5.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.5.9. Brazil
      • 11.5.9.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.5.9.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.5.9.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.5.9.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.5.9.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.5.9.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.5.9.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.5.9.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.5.10. Mexico
      • 11.5.10.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.5.10.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.5.10.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.5.10.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.5.10.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.5.10.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.5.10.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.5.10.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.5.11. Argentina
      • 11.5.11.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.5.11.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.5.11.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.5.11.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.5.11.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.5.11.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.5.11.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.5.11.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
  • 11.6. Middle East & Africa
    • 11.6.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
    • 11.6.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
    • 11.6.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
    • 11.6.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
    • 11.6.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
    • 11.6.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
    • 11.6.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
    • 11.6.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.6.9. UAE
      • 11.6.9.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.6.9.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.6.9.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.6.9.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.6.9.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.6.9.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.6.9.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.6.9.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.6.10. Saudi Arabia
      • 11.6.10.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.6.10.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.6.10.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.6.10.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.6.10.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.6.10.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.6.10.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.6.10.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)
    • 11.6.11. South Africa
      • 11.6.11.1. Market estimates and forecast, 2018 - 2030 (USD Billion)
      • 11.6.11.2. Market estimates and forecast by component, 2018 - 2030 (USD Billion)
      • 11.6.11.3. Market estimates and forecast by solution, 2018 - 2030 (USD Billion)
      • 11.6.11.4. Market estimates and forecast by service, 2018 - 2030 (USD Billion)
      • 11.6.11.5. Market estimates and forecast by deployment, 2018 - 2030 (USD Billion)
      • 11.6.11.6. Market estimates and forecast by enterprise size, 2018 - 2030 (USD Billion)
      • 11.6.11.7. Market estimates and forecast by monitoring technique, 2018 - 2030 (USD Billion)
      • 11.6.11.8. Market estimates and forecast by end use, 2018 - 2030 (USD Billion)

Chapter 12. Competitive Landscape

  • 12.1. Company Categorization (Mature Players, Emerging Players)
  • 12.2. Company Share Analysis, 2022
  • 12.3. Heat Map Analysis, 2022
  • 12.4. Strategy Mapping
  • 12.5. Company Profiles (Overview, Financial Performance, Product Overview, Strategic Initiatives)
    • 12.5.1. Accenture plc
    • 12.5.2. Cisco Systems, Inc.
    • 12.5.3. General Electric
    • 12.5.4. Honeywell International Inc.
    • 12.5.5. Hitachi, Ltd.
    • 12.5.6. IBM Corporation
    • 12.5.7. Microsoft
    • 12.5.8. PTC
    • 12.5.9. Robert Bosch GmbH
    • 12.5.10. Rockwell Automation
    • 12.5.11. SAP SE
    • 12.5.12. SAS Institute
    • 12.5.13. Schneider Electric SE
    • 12.5.14. Siemens
    • 12.5.15. Software AG
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