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플랜트 자산 관리(PAM) 시장 : 성장, 동향, COVID-19의 영향, 예측(2021-2026년)

Plant Asset Management Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

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플랜트 자산 관리(PAM) 시장 : 성장, 동향, COVID-19의 영향, 예측(2021-2026년) Plant Asset Management Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)
발행일 : 2022년 01월 페이지 정보 : 영문

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

플랜트 자산 관리(PAM) 시장 규모는 2021-2026년간 11.2%의 연평균 복합 성장률(CAGR)로 확대될 것으로 예상됩니다. 기업 성공에 있어서 물적 자산관리의 중요성은 최근 수십년 동안 높아졌습니다. 자동화는 아러한 추세의 한 가지 이유입니다. 업계가 더 많은 작업을 기계에 맡기게 되어 유지관리를 더욱 중요하게 만들기 때문입니다. 기업은 프로세스 효율을 개선하고, 유지보수 비용을 절감하며, 투자/자산 수익률을 높이기 위한 최적화 전략으로서 플랜트 자산 관리에 더욱 더 주목하고 있습니다. 기업들은 강력한 플랜트 자산관리 전략에 의해 유지관리 예산이 약 30% 감소하고, 생산 다운타임이 최대 20% 감소한 것으로 알려져 있습니다. 제어 및 자동화는 거의 모든 장소에서 이용되고, 복잡한 실시간 데이터를 조합하여, 향후의 플랜트 실적 향상을 위한 행동을 자동화할 것입니다.

  • 실시간 데이터 분석 채용이 시장을 주도하고 있습니다. 대부분의 경우 설비 자산 또는 프로세스 모델은 현재 데이터를 바탕으로 산출물의 가치를 예측하는 소프트웨어 프로그램에서 생성됩니다. 큰 차이가 있는 경우에는 경보나 경고가 발생합니다. 데이터 소스에는 장비 센서 판독값, 공정 기기 판독값, 분산 제어 시스템 데이터, 장비 제어 시스템 데이터 및 컴퓨터화 된 유지보수 관리 시스템 데이터가 포함됩니다.
  • 사용되는 데이터는 기기 또는 제어 시스템 데이터에 따라 '실시간'이 아닌 '근실시간'이라고 불리며, 예측 분석 사이트 기반 방법 및 클라우드 기반 방법에서 주로 사용됩니다. 이것은 기업이 중요한 자산을 모니터링하는 데에 도움이 됩니다.
  • 린(Lean) 생산 관행 채택이 시장 성장을 촉진하고 있습니다. 린 생산 방식을 구현하는 기업은 폭넓은 설비 자산 클래스에서 유지보수와 운영 비용을 최적화함과 동시에, 신뢰성 향상에 도움이 되는 자산관리 솔루션을 검토할 필요가 있습니다.
  • 예를 들어, IBM의 Tivoli 소프트웨어 포트폴리오인 IBM Maximo Asset Management는 ERP 및 플랜트 정보 시스템으로부터 자산관리 소프트웨어로 정보를 가져옴으로써 성공적인 린 생산 방식 을 지원하거나 시행합니다. Maximo Asset Management는 기업 목표 달성에 직접적이고 중요 영향을 미치는 고정 자산, 물리적 자산, 또는 기타 설비 자산의 성능을 극대화하고, 최소의 총소유비용으로 성능을 극대화하도록 합니다.
  • 그러나 숙련된 인재 부족은 시장 성장을 방해하는 요인입니다. 'The Future of Jobs 2018'이라는 제목의 보고서에서 세계경제포럼(WEF)은 가상 세계를 낳는 파괴적인 디지털 기술로 일하려면 세계 노동력의 약 54%가 기술을 다시 습득하거나 새로 습득할 필요가 있다고 말했습니다. 기술적인 지식이 부족하기 때문에 오퍼레이터의 도입률이 낮아지고 있습니다.

세계의 플랜트 자산 관리(PAM: Plant Asset Management) 시장을 조사했으며, 시장 개요, 시장 성장요인 및 저해요인 분석, 시장 기회, 제공 제품·전개·최종사용자·지역별 시장 규모 추이와 예측, 경쟁 구도, 주요 기업 개요 등의 정보를 제공합니다.

목차

제1장 서론

제2장 조사 방법

제3장 개요

제4장 시장 역학

  • 시장 개요
  • 시장 추진력
    • 실시간 데이터 분석 채택
    • 린 생산 방식 채택
  • 시장 억제요인
    • 숙련자 부족
  • 업계 밸류체인 분석
  • Porter의 산업 분석

제5장 시장 세분화

  • 제공 제품별
    • 소프트웨어
    • 서비스
  • 전개 형태별
    • 온프레미스
    • 클라우드
  • 최종사용자별
    • 에너지 및 전력
    • 석유 및 가스
    • 석유화학제품
    • 광업 및 금속
    • 항공우주 및 방위
    • 자동차
    • 기타
  • 지역별
    • 북미
    • 유럽
    • 아시아태평양
    • 라틴아메리카
    • 중동 및 아프리카

제6장 경쟁 구도

  • 기업 개요
    • ABB Group
    • Emerson Electric Co.
    • Honeywell International Inc.
    • Rockwell Automation, Inc.
    • Siemens AG
    • SFK Group
    • Ramco Systems
    • General Electric Co.
    • Endress+Hauser AG
    • Schneider Electric SE
  • Investment Analysis

제7장 시장 기회와 동향

LSH 21.03.02

The plant asset management market is expected to grow at a CAGR of 11.2% during the forecast period (2021 - 2026). The importance of physical asset management to a company's success has increased over recent decades. Automation is one reason for this trend, as it has forced industries to delegate more tasks to machines, thereby making maintenance more crucial. Companies are increasingly turning to plant asset management as an optimization strategy to improve their process efficiencies, reduce maintenance costs, thus enhancing their return on investments/assets. Companies are known to have reported almost a 30 percent reduction in maintenance budgets and up to a 20 percent reduction in production, downtime owing to a robust plant asset management strategy. Controls and Automation will be harnessed almost everywhere to collate complex real-time data and automate actions for plant performance enhancements in the coming time.

Key Highlights

  • The adoption of real-time data analytics is driving the market. For the most part, a model of an asset or a process is created in the software program that predicts what the value of output should be based on the current data. If there is a significant difference (anomaly), an alarm or warning is raised. The data sources include equipment sensor readings, process instrument readings, distributed control system data, equipment control systems data, and computerized maintenance management system data.
  • The data used is not "Real-Time" as per an instrument or control system data, but called "Near Real-Time" and are mostly used by site based method and cloud-based method in the predictive analytics. This helps the company to monitor critical assets.
  • Further, the adoption of lean manufacturing practices is driving the market. Companies that implement lean manufacturing principles should consider an asset management solution to help improve reliability while optimizing the cost of maintenance and operations across a wide range of asset classes.
  • For instance, IBM Tivoli software portfolio, IBM Maximo Asset Management supports and executes successful lean manufacturing principles by pulling information from ERP and plant information systems into asset management software. Maximo Asset Management helps to maximize the performance of fixed, physical, or other capital assets that have a direct and significant impact on achieving corporate objectives and strives to maximize performance for the lowest total cost of ownership.
  • However, the lack of skilled personnel is the factor hindering the market growth. In a report titled 'The Future of Jobs 2018', the World Economic Forum (WEF) said that around 54% of the global workforce had to be re-skilled or up-skilled to work in disruptive and digital technologies spawning the virtual world. There is less acceptance from operators due to a lack of technical knowledge.

Key Market Trends

Oil and Gas Accounts For Significant Market Growth

  • In the oil and gas industry, the process plants are quite complex and consist of expensive and production critical equipment. As the plant's condition and performance degrade over time due to wear from several factors, this harms the production and the costs associated with it. Asset management strategies aim to counter this impact by systematic condition monitoring of equipment, avoid unplanned production downtime, and to reduce operational expenses by optimizing maintenance planning.
  • According to OPEC, the world refinery capacity expanded by 876,000 barrels/calendar day (b/cd) to stand at 99.51m b/cd during 2018. The Asia and Pacific region, as well as the Middle East, contributed the most in terms of refining capacity additions. Further, with increasing capacity, the demand for asset management is highly required.
  • Based on the US Department of Energy, predictive maintenance is up to 40% more cost-efficient than unplanned maintenance and up to 12% more cost-efficient than planned maintenance. To put these into perspective, cost savings can be achieved from the increased lifetime of the equipment, which in turn has savings from the reduced spare parts inventory.
  • Further as systems across facilities are upgraded over time, the intelligent devices that make-up those systems are now capable of capturing data and forwarding it to the cloud at an affordable price. Operators just need to determine the best ways of consolidating, analyzing, and managing that asset information. The goal is to convert the asset management data into actionable plans and increase the lifespan of equipment.
  • Companies like Emerson announced its new DataManager v8.2 analysis software solution for refineries. Notably, the software solution helps in minimizing the risk of potential acid leaks by tracking corrosion of hydrofluoric acid alkylation units, which allows refinery operators to prevent accidental shutdowns and better estimate the lifespan of equipment, thus securing the safety of their workers.
  • Moreover, with increasing refinery throughput of crude oil in India year to year, according to the Ministry of Petroleum and Natural Gas (India), the market for plant asset management increases. Players such as SGS SA provide support with distribution and retail, including calibration services, facility audits, leak detection, and maintenance to the oil and gas sector for the downstream sector.

North America to Hold Significant Market Share

  • Plant Asset Management is becoming easier due to advancements in the cloud in this region. It exhibits a tremendous potential to add value and help companies reduce the cost and improve operational efficiency.
  • Companies are introducing new cloud solutions exhibiting to improve productivity. Recently Honeywell introduces New Enterprise Performance Management Software that will transform business operations. Its cloud-based Honeywell Forge allows users to optimize their enterprise on a single screen using advanced data analytics and converts massive quantities of data from equipment, processes, and people into intuitive, actionable insights that enable monitoring of operations from a single screen.
  • Companies in North America are also focusing on purpose-built asset management software that is ready to scale and is required for transformation within the organization. For instance, in March 2020, Emersion unveiled its latest data visualization software solution for flow measurement known as Micro Motion ProcessViz. Notably, the software solution facilitates quick identification of a problem in the flow process for plants belonging to various industries, including chemical, oil & gas, and food & beverage.
  • Further, North America has one of the oldest midstream infrastructures, with many oil and gas pipelines older than 40 years. The upstream infrastructure in the country is also aging. Most of the active platforms in the Gulf of Mexico are older than 25 years. This enhances the demand for plant asset management in this sector, contributing to the growth of the market.

Competitive Landscape

The plant asset management market is fragmented with many global players, and every industry is embracing its control and administration of plant assets to another vendor to optimize productivity. Further, players are continuously offering new innovative solutions that maximize market rivalry. Key players are ABB Group, Emerson Electric Co., etc. Recent developments in the market are -

  • November 2019 - Yokogawa delivers a new plant asset management solution known as Plant Resource Manager (PRM) that enables digital transformation in IIoT-era applications. PRM will effectively digitalize and analyze big data from all remote assets, support predictive maintenance, and optimize process operations.
  • September 2019 - Emerson introduced the AMS Asset Monitor edge analytics device, which digitalizes essential asset data and analytics for better operations performance and improved decision making. AMS Asset Monitor provides actionable insights into essential assets that were previously monitored only with infrequent assessments. The new edge analytics device will connect with Emerson's Plantweb Optics asset performance platform to provide key operations personnel with instant asset health details for operations and maintenance decision making.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Adoption Of Real-Time Data Analytics
    • 4.2.2 Adoption of Lean Manufacturing Practices
  • 4.3 Market Restraints
    • 4.3.1 Lack of Skilled Personnel
  • 4.4 Industry Value Chain Analysis
  • 4.5 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 Offerings
    • 5.1.1 Software
    • 5.1.2 Services
  • 5.2 Deployment
    • 5.2.1 On-Premise
    • 5.2.2 Cloud
  • 5.3 End-User
    • 5.3.1 Energy and Power
    • 5.3.2 Oil & Gas
    • 5.3.3 Petrochemical
    • 5.3.4 Mining and Metal
    • 5.3.5 Aerospace and Defense
    • 5.3.6 Automotive
    • 5.3.7 Other End-Users
  • 5.4 Geography
    • 5.4.1 North America
    • 5.4.2 Europe
    • 5.4.3 Asia-Pacific
    • 5.4.4 Latin America
    • 5.4.5 Middle-East and Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 ABB Group
    • 6.1.2 Emerson Electric Co.
    • 6.1.3 Honeywell International Inc.
    • 6.1.4 Rockwell Automation, Inc.
    • 6.1.5 Siemens AG
    • 6.1.6 SFK Group
    • 6.1.7 Ramco Systems
    • 6.1.8 General Electric Co.
    • 6.1.9 Endress+Hauser AG
    • 6.1.10 Schneider Electric SE
  • 6.2 Investment Analysis

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

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