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市场调查报告书

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1654717

全球预测腐蚀管理市场 - 2025 至 2032 年

Global Predictive Corrosion Management Market - 2025-2032

出版日期: 2025年02月13日 | 出版商:

DataM Intelligence | 英文 204 Pages | 商品交期: 最快1-2个工作天内

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简介目录

2024 年全球预测性腐蚀管理市场规模达到 12.4411 亿美元，预计到 2032 年将达到 23.1988 亿美元，在 2025-2032 年预测期内的复合年增长率为 8.1%。

全球预测性腐蚀管理市场正在经历大幅成长，这得益于维护基础设施完整性和尽量减少腐蚀造成的经济损失的需求不断增长。航太、石油天然气和运输等行业越来越多地采用预测分析来主动管理腐蚀，从而提高安全性并降低维护成本。

腐蚀监测系统中物联网 (IoT) 设备和人工智慧 (AI) 演算法的采用正在彻底改变预测性维护策略。这些技术可实现即时资料收集和分析，可提前发现腐蚀并及时干预，减少停机时间和维护成本。各行各业越来越注重永续实践并遵守严格的环境法规。

受工业化和基础设施建设加速推动，亚太地区的预测性腐蚀管理市场正在快速成长。中国和印度等国家正大力投资基础建设项目，对有效的腐蚀管理解决方案的需求也随之增加。预测性腐蚀管理有助于防止因腐蚀引起的洩漏和溢出，从而减轻环境危害并确保符合监管标准。製造业和建筑业采用先进技术进一步推动了该地区市场的发展。

动力学

腐蚀带来的经济影响日益增加

腐蚀给全球带来了沉重的经济负担，影响着各个产业和基础设施系统。仅在美国，每年因腐蚀造成的损失估计就超过 2,760 亿美元，约占该国国内生产毛额 (GDP) 的 3.1%。这一巨大的财务影响凸显了有效腐蚀管理策略的迫切必要性。交通运输、公用事业和基础设施等行业尤其容易受到腐蚀，腐蚀会导致维护成本增加、营运停机，严重的情况下还会导致灾难性的故障。

预测性腐蚀管理提供了一种主动的方法来减轻这些经济损失。透过利用先进的监测技术和资料分析，组织可以预测腐蚀相关问题，从而及时进行维护和维修。这不仅延长了资产的使用寿命，而且还降低了与腐蚀损坏相关的整体成本。例如，在交通运输领域，金属结构的腐蚀对经济（包括基础设施和公用事业）产生严重影响。

腐蚀监测技术的进步

腐蚀监测领域取得了重大的技术进步，增强了预测和有效管理腐蚀的能力。感测器技术、资料分析和材料科学的创新共同促进了更准确、更可靠的预测腐蚀管理系统的开发。一个显着的进步是将物联网 (IoT) 设备整合到腐蚀监测框架中。支援物联网的感测器可以持续收集有关环境条件、材料降解和结构完整性的即时资料。

行业标准和指南进一步支持了这些先进技术的采用。美国国家腐蚀工程师协会 (NACE) 等组织提供了将腐蚀管理元素整合到组织系统中的框架和最佳实践，促进了先进监测和预测技术的使用。总之，腐蚀监测技术的进步是预测腐蚀管理领域发展的重要动力。

高能耗和环境问题

预测腐蚀管理市场面临一些可能阻碍其成长轨迹的限制。一个重大挑战是人工智慧和机器学习等先进技术的实施成本高。许多组织，尤其是较小的公司，可能难以为这些复杂的系统分配足够的预算，这可能会限制市场渗透率和采用率。此外，对于预算紧张的公司来说，硬体和软体解决方案的初始投资可能是一个障碍。

另一个限制因素是预测性维护和腐蚀管理领域的熟练劳动力短缺。复杂技术的整合需要精通资料分析和腐蚀科学的劳动力。由于公司难以找到合格的人才，他们可能会在实施有效的预测策略时遇到延迟，最终影响营运效率并增加成本。

The global predictive corrosion management market is witnessing substantial growth, propelled by the increasing need to maintain infrastructure integrity and minimize economic losses due to corrosion. Industries such as aerospace, oil and gas and transportation are increasingly adopting predictive analytics to proactively manage corrosion, thereby enhancing safety and reducing maintenance costs.

The adoption of Internet of Things (IoT) devices and Artificial Intelligence (AI) algorithms in corrosion monitoring systems is revolutionizing predictive maintenance strategies. These technologies enable real-time data collection and analysis, allowing for early detection of corrosion and timely intervention, thereby reducing downtime and maintenance costs. Industries are increasingly focusing on sustainable practices and adhering to stringent environmental regulations.

Asia-Pacific is experiencing rapid growth in the predictive corrosion management market, driven by accelerated industrialization and infrastructure development. Countries such as China and India are investing heavily in infrastructure projects, leading to a heightened demand for effective corrosion management solutions. Predictive corrosion management aids in preventing leaks and spills caused by corrosion, thereby mitigating environmental hazards and ensuring compliance with regulatory standards. The adoption of advanced technologies in manufacturing and construction sectors further propels the market in this region.

Dynamics

Increasing Economic Impact of Corrosion

Corrosion poses a significant economic burden globally, affecting various industries and infrastructure systems. In US alone, the annual cost of corrosion is estimated to be over US$ 276 billion, accounting for approximately 3.1% of the nation's Gross Domestic Product (GDP). This substantial financial impact underscores the critical need for effective corrosion management strategies. Industries such as transportation, utilities and infrastructure are particularly vulnerable, with corrosion leading to increased maintenance costs, operational downtime and, in severe cases, catastrophic failures.

Predictive corrosion management offers a proactive approach to mitigate these economic losses. By utilizing advanced monitoring technologies and data analytics organizations can anticipate corrosion-related issues before they escalate, allowing for timely maintenance and repairs. This not only extends the lifespan of assets but also reduces the overall cost associated with corrosion damage. For instance, in the transportation sector, corrosion of metallic structures significantly impacts the economy, including infrastructure and utilities.

Advancements in Corrosion Monitoring Technologies

The field of corrosion monitoring has witnessed significant technological advancements, enhancing the ability to predict and manage corrosion effectively. Innovations in sensor technology, data analytics and materials science have collectively contributed to the development of more accurate and reliable predictive corrosion management systems. One notable advancement is the integration of Internet of Things (IoT) devices into corrosion monitoring frameworks. IoT-enabled sensors can continuously collect real-time data on environmental conditions, material degradation and structural integrity.

The adoption of these advanced technologies is further supported by industry standards and guidelines. Organizations such as the National Association of Corrosion Engineers (NACE) provide frameworks and best practices for integrating corrosion management elements into organizational systems, promoting the use of advanced monitoring and predictive techniques. In summary, advancements in corrosion monitoring technologies are a significant driver for the predictive corrosion management sector.

High Energy Consumption and Environmental Concerns

The Predictive Corrosion Management Market faces several restraints that could hinder its growth trajectory. One significant challenge is the high cost of implementation associated with advanced technologies such as artificial intelligence and machine learning. Many organizations, particularly smaller firms, may find it difficult to allocate sufficient budgets for these sophisticated systems, which can limit market penetration and adoption rates. Additionally, the initial investment in hardware and software solutions can be a barrier for companies operating on tight budgets.

Another restraint is the shortage of skilled labor in the field of predictive maintenance and corrosion management. The integration of complex technologies requires a workforce that is well-versed in data analytics and corrosion science. As companies struggle to find qualified personnel, they may experience delays in implementing effective predictive strategies, ultimately impacting operational efficiency and increasing costs.

Segment Analysis

The global predictive corrosion management market is segmented based on technology, deployment mode, application, end-user and region.

Critical Need to ensure the Safety, Reliability and Longevity of Aircraft Structures

Aircraft are exposed to various environmental factors that contribute to corrosion, including humidity, temperature fluctuations and exposure to saltwater in coastal regions. The use of lightweight materials, such as aluminum alloys, while beneficial for performance, also increases susceptibility to corrosion. The aerospace industry in North America, led by companies like Boeing and Lockheed Martin, is heavily investing in predictive corrosion monitoring to enhance aircraft longevity and safety.

The FAA's Aircraft Maintenance Manual specifies rigorous corrosion inspections and maintenance requirements. Predictive corrosion management helps reduce aircraft maintenance costs by 15-20%, as reported by the U.S. Department of Defense (DoD). The National Aeronautics and Space Administration (NASA) has been at the forefront of developing corrosion control strategies for aerospace applications. NASA's Corrosion Technology Laboratory focuses on understanding corrosion mechanisms and developing predictive models to enhance the durability of aerospace materials.

In commercial aviation, airlines are adopting predictive maintenance programs that incorporate corrosion monitoring to optimize maintenance schedules and reduce operational disruptions. For example, Delta Air Lines has implemented an advanced predictive maintenance system that monitors various aircraft systems, including structural components susceptible to corrosion. This system analyzes data from sensors and maintenance records to predict potential issues, allowing for proactive maintenance and reducing unscheduled downtime.

Geographical Penetration

Advanced Industrial Infrastructure of North America Drives the demand of Predictive Corrosion

North America dominates the predictive corrosion management market due to its advanced industrial infrastructure, high adoption of predictive maintenance technologies and stringent regulatory frameworks. The region is home to key industries such as aerospace, oil and gas and automotive, all of which are highly vulnerable to corrosion-related issues. According to the National Association of Corrosion Engineers (NACE), the annual cost of corrosion in the U.S. alone exceeds US$ 276 billion, representing 3.1% of the country's GDP. This substantial economic burden drives the widespread adoption of predictive corrosion management solutions.

Furthermore, North America is at the forefront of technological innovations in predictive maintenance. The integration of Artificial Intelligence (AI), Machine Learning (ML) and Internet of Things (IoT) into corrosion management systems allows industries to detect early signs of material degradation and take preventive actions. According to the National Institute of Standards and Technology (NIST), AI-powered predictive maintenance can reduce unexpected equipment failures by up to 75%, translating to billions of dollars in cost savings annually.

Competitive Landscape

The major global players in the market include Baker Hughes, WebCorr Corrosion Consulting Services, Microsoft, Honeywell International Inc., SMARTCORR, Cosasco, Alabama Specialty Products, SGS SA, ICORR Technologies and Permasense Emerson.

Sustainable Analysis

Predictive corrosion management plays a crucial role in promoting sustainability by reducing material waste, minimizing hazardous emissions and extending asset lifespans. Corrosion leads to premature degradation of infrastructure, resulting in massive amounts of metal waste. According to the U.S. Environmental Protection Agency (EPA), approximately 60 million tons of metal waste is generated annually due to corroded infrastructure. Predictive corrosion management extends the lifespan of industrial assets, reducing the need for frequent replacements and minimizing material consumption.

Traditional corrosion management practices involve frequent repairs, replacements and production of new materials, all of which contribute to increased carbon emissions. The World Resources Institute (WRI) highlights that steel production (a key material affected by corrosion) accounts for 7-9% of global CO2 emissions. By proactively preventing corrosion, industries can reduce the demand for new steel production, thereby lowering their carbon footprint.

Impact of Artificial Intelligence (AI) and Internet of Things (IoT)

Artificial Intelligence (AI) and the Internet of Things (IoT) are revolutionizing corrosion management by enabling real-time monitoring and predictive analytics. In Schleswig-Holstein, Germany, the CHAI research project is leveraging AI and IoT to enhance corrosion detection in ports and waterways. With a US$ 81378638.98 investment from the federal state and leadership from the Helmholtz Center Hereon, the project integrates sensor technology and machine learning algorithms to monitor environmental conditions such as temperature, water composition and solar radiation. This data allows AI to analyze and predict corrosion patterns more accurately, reducing the reliance on costly manual inspections and enabling proactive maintenance strategies.

By training AI models on collected sensor data, researchers predict the severity and speed of corrosion under various conditions, optimizing preventative measures for maritime infrastructure. The involvement of Christian Albrechts Universitat zu Kiel (CAU), the Port of Kiel and AC Korro-Service GmbH ensures that this technology transition benefits both scientific research and industrial applications. As the AI continues to learn from expanding datasets, its predictions will become increasingly precise, allowing organizations like the Port of Kiel to implement automated maintenance strategies.

Key Developments

In July 2024, Cambridge, UK-based Corrosion RADAR, a provider of predictive Corrosion Under Insulation (CUI) monitoring solutions, announced that it has secured a US$ 6.13 investment. This funding will support the company's efforts in advancing its innovative CUI monitoring technology, which helps industries detect and prevent corrosion-related failures.
In June 2024, Aramco, a global leader in integrated energy and chemicals, announced the deployment of Corrosion RADAR's advanced Corrosion Under Insulation (CUI) monitoring solution at the Ju'aymah NGL Fractionation Plant. This strategic installation at key locations within the plant aims to enhance safety, reliability and operational efficiency.
In May 2024, OLI Systems introduced its MSE (Mixed Solvent Electrolyte) corrosion model, marking a significant advancement in corrosion prediction technology. This model, developed through extensive research and validation, is the first of its kind designed to predict corrosion across a broader range of process compositions, effectively eliminating the traditional water-dependency barrier.

By Technology

Electrochemical Techniques
Coating Technologies
Corrosion Inhibitors
Monitoring Systems
Others

By Deployment Mode

On-Premises
Cloud-Based
Hybrid

By Application

Manufacturers
Service Providers
Government Agencies
Research & Development
Others

By End-User

Aerospace
Automotive
Oil and Gas
Marine
Construction
Power Generation
Others

By Region

North America
- US
- Canada
- Mexico
Europe
- Germany
- UK
- France
- Italy
- Spain
- Rest of Europe
South America
- Brazil
- Argentina
- Rest of South America
Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific
Middle East and Africa

Why Purchase the Report?

To visualize the global predictive corrosion management market segmentation based on technology, deployment mode, application, end-user and region.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points at the predictive corrosion management market level for all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global predictive corrosion management market report would provide approximately 70 tables, 70 figures and 204 pages.

Target Audience 2024

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Technology
3.2. Snippet by Deployment Mode
3.3. Snippet by Application
3.4. Snippet by End-User
3.5. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Increasing Economic Impact of Corrosion
  - 4.1.1.2. Advancements in Corrosion Monitoring Technologies
- 4.1.2. Restraints
  - 4.1.2.1. High Energy Consumption and Environmental Concerns
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Sustainable Analysis
5.6. DMI Opinion

6. By Technology

6.1. Introduction
- 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 6.1.2. Market Attractiveness Index, By Technology
6.2. Electrochemical Techniques*
- 6.2.1. Introduction
- 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
6.3. Coating Technologies
6.4. Corrosion Inhibitors
6.5. Monitoring Systems
6.6. Others

7. By Deployment Mode

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 7.1.2. Market Attractiveness Index, By Deployment Mode
7.2. On-Premises*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Cloud-Based
7.4. Hybrid

8. By Application

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 8.1.2. Market Attractiveness Index, By Application
8.2. Manufacturers*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Service Providers
8.4. Government Agencies
8.5. Research & Development
8.6. Others

9. By End-User

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 9.1.2. Market Attractiveness Index, By End-User
9.2. Aerospace*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Automotive
9.4. Oil and Gas
9.5. Marine
9.6. Construction
9.7. Power Generation
9.8. Others

10. Sustainability Analysis

10.1. Environmental Analysis
10.2. Economic Analysis
10.3. Governance Analysis

11. By Region

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 11.1.2. Market Attractiveness Index, By Region
11.2. North America
- 11.2.1. Introduction
- 11.2.2. Key Region-Specific Dynamics
- 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.2.7.1. US
  - 11.2.7.2. Canada
  - 11.2.7.3. Mexico
11.3. Europe
- 11.3.1. Introduction
- 11.3.2. Key Region-Specific Dynamics
- 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Data Center Type
- 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.3.7.1. Germany
  - 11.3.7.2. UK
  - 11.3.7.3. France
  - 11.3.7.4. Italy
  - 11.3.7.5. Spain
  - 11.3.7.6. Rest of Europe
11.4. South America
- 11.4.1. Introduction
- 11.4.2. Key Region-Specific Dynamics
- 11.4.3. Key Region-Specific Dynamics
- 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.4.8.1. Brazil
  - 11.4.8.2. Argentina
  - 11.4.8.3. Rest of South America
11.5. Asia-Pacific
- 11.5.1. Introduction
- 11.5.2. Key Region-Specific Dynamics
- 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.5.7.1. China
  - 11.5.7.2. India
  - 11.5.7.3. Japan
  - 11.5.7.4. Australia
  - 11.5.7.5. Rest of Asia-Pacific
11.6. Middle East and Africa
- 11.6.1. Introduction
- 11.6.2. Key Region-Specific Dynamics
- 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12. Competitive Landscape

12.1. Competitive Scenario
12.2. Market Positioning/Share Analysis
12.3. Mergers and Acquisitions Analysis

13. Company Profiles

13.1. Baker Hughes*
- 13.1.1. Company Overview
- 13.1.2. Product Portfolio and Description
- 13.1.3. Financial Overview
- 13.1.4. Key Developments
13.2. WebCorr Corrosion Consulting Services
13.3. Microsoft
13.4. Honeywell International Inc.
13.5. SMARTCORR
13.6. Cosasco
13.7. Alabama Specialty Products
13.8. SGS SA
13.9. ICORR Technologies
13.10. Permasense Emerson

LIST NOT EXHAUSTIVE