세계의 변압기 모니터링 소프트웨어 시장 : 용도별, 지역별 - 규모, 산업 동향, 기회 분석, 예측(2025-2033년)

The transformer monitoring software market is experiencing robust growth, with its valuation reaching approximately US$ 2,877.6 million in 2024. This upward trajectory is expected to continue strongly over the coming years, with projections indicating that the market will surpass a valuation of US$ 6,317.3 million by 2033. This growth corresponds to a compound annual growth rate (CAGR) of 9.13% between 2025 and 2033, reflecting increasing demand and widespread adoption of advanced monitoring solutions across the power sector.

Several key factors are driving this expansion. One of the primary catalysts is the substantial investment being directed toward smart grid infrastructure worldwide. As utilities modernize their electrical grids to improve efficiency, reliability, and resilience, transformer monitoring software has become an essential component for real-time asset management and fault detection. Additionally, the pressing need to manage and maintain aging electrical grids, many of which contain transformers that have been in service for decades, is fueling the demand for sophisticated monitoring technologies.

Noteworthy Market Developments

In the transformer monitoring software market, large, well-established electrical equipment manufacturers compete with specialized digital solution providers. These companies compete vigorously through continuous innovation, strategic partnerships, and targeted expansion efforts to secure and grow their market share. Leading players such as Siemens Energy, GE Vernova, Schneider Electric, and ABB Ltd. are at the forefront of this competition, consistently introducing new features that enhance their offerings.

In 2024, Siemens Energy demonstrated its commitment to advancing monitoring technology by releasing two significant updates to its Dissolved Gas Analysis (DGA) monitoring suite. These updates improved fault detection accuracy and user experience, reinforcing Siemens' position as a market leader. Meanwhile, GE Vernova is focusing heavily on improving usability, with a 2025 product roadmap that includes six new interface enhancements for its Kelman software.

Schneider Electric is also actively competing by expanding functionality and user control within its EcoStruxure platform. In 2024, the company introduced 14 new reporting features designed to provide users with more detailed and customizable insights into transformer performance. Beyond product innovation, Schneider Electric has strengthened its market presence by expanding its ecosystem, onboarding 30 new certified system integrators in 2024 to enhance deployment and support capabilities.

Core Growth Drivers

The demand for transformer monitoring software is rapidly increasing, driven by a convergence of significant pressures affecting the global power grid. Much of the world's electrical infrastructure is aging, with many transformers-often considered the core components of the system-growing older and becoming more susceptible to unexpected failures. These aging assets face heightened risks of breakdown, which can lead to costly outages and disruptions. At the same time, the energy landscape is undergoing a dramatic transformation with the swift integration of intermittent renewable energy sources such as wind and solar power. These resources introduce a new level of variability and unpredictability into the grid, challenges that traditional, legacy systems were never designed to manage effectively.

Emerging Opportunity Trends

There is a significant opportunity emerging in the integration of transformer monitoring software with Distributed Energy Resource Management Systems (DERMS). As electrical grids become more decentralized, incorporating millions of solar panels, battery storage units, and electric vehicle (EV) chargers, transformers are increasingly tasked with managing complex, bidirectional power flows. This shift from traditional one-way power distribution to dynamic two-way flows introduces new challenges in maintaining grid stability and reliability. A study conducted by the U.S. Department of Energy highlights that effectively managing these distributed energy resources is among the most pressing challenges facing modern grid operators today.

Barriers to Optimization

The growth of the transformer monitoring software market faces challenges related to ensuring the cybersecurity of interconnected monitoring devices and platforms. As these systems become increasingly integrated into smart grids and rely more heavily on digital communication networks, they become more vulnerable to cyber threats. Potential security breaches, such as hacking, data manipulation, or ransomware attacks, can compromise the integrity of monitoring data, disrupt operations, and even cause physical damage to critical transformer assets. This heightened risk necessitates robust cybersecurity measures, including advanced encryption, secure authentication protocols, and continuous monitoring for suspicious activity.

Detailed Market Segmentation

By Product Type, Dissolved Gas Analysis (DGA) software holds a prominent position in the transformer monitoring software market, accounting for a substantial 38.30% of the total market revenue. This dominance can be attributed to the software's critical role in ensuring the safety and reliability of power transformers by detecting early signs of faults before they escalate into catastrophic failures. DGA technology works by analyzing gases dissolved in transformer oil, which are released when internal components begin to degrade or malfunction.

By Application, Power transformers serve as the fundamental backbone of the electrical grid, making their condition and performance absolutely critical to the stability and efficiency of power distribution systems. This vital importance is reflected in the fact that monitoring applications specifically designed for power transformers generate over 66.50% of the total revenue in the transformer monitoring software market. Because power transformers are responsible for stepping voltage levels up or down to ensure power can be safely and efficiently transmitted across vast distances, any failure or inefficiency can lead to significant disruptions and costly downtime.

Segment Breakdown

By Type

• Dga Software
• Bushing Monitoring Software
• Partial Discharge (PD) Software
• Others

By Application

• Power Transformer
• Distribution Transformer

By Region

• North America
• The U.S.
• Canada
• Mexico
• Europe
• Western Europe
• The UK
• Germany
• France
• Italy
• Spain
• Rest of Western Europe
• Eastern Europe
• Poland
• Russia
• Rest of Eastern Europe
• Asia Pacific
• China
• India
• Japan
• Australia & New Zealand
• South Korea
• ASEAN
• Rest of Asia Pacific
• Middle East & Africa (MEA)
• Saudi Arabia
• South Africa
• UAE
• Rest of MEA
• South America
• Argentina
• Brazil
• Rest of South America

Geography Breakdown

• North America holds a leading position in the transformer monitoring software market, commanding a substantial 36.09% share. This leadership is primarily driven by an urgent need to modernize the region's aging electrical infrastructure. According to a 2024 report from the U.S. Department of Energy, a staggering 70% of transformers in the United States have been in service for more than 25 years.
• In response to this challenge, the Grid Resilience and Innovation Partnerships (GRIP) Program is playing a pivotal role by allocating over US$ 3.9 billion toward various modernization initiatives. These projects rely heavily on sophisticated transformer monitoring software to enhance grid resilience, optimize maintenance schedules, and prevent costly failures. Additionally, the industry grapples with long lead times for new large power transformers, often exceeding two years due to ongoing supply chain disruptions.

Leading Market Participants

• GE
• ABB
• Siemens
• Doble Engineering Company
• Eaton
• Weidmann
• Schneider Electric
• Mitsubishi
• Qualitrol
• Koncar
• Other Prominent Players

Table of Content

Chapter 1. Research Framework

• 1.1. Research Objective
• 1.2. Product Overview
• 1.3. Market Segmentation

Chapter 2. Research Methodology

• 2.1. Qualitative Research
  • 2.1.1. Primary & Secondary Sources
• 2.2. Quantitative Research
  • 2.2.1. Primary & Secondary Sources
• 2.3. Breakdown of Primary Research Respondents, By Region
• 2.4. Assumption for the Study
• 2.5. Market Size Estimation
• 2.6. Data Triangulation

Chapter 3. Executive Summary: Global Transformer Monitoring Software Market

Chapter 4. Global Transformer Monitoring Software Market Overview

• 4.1. Industry Value Chain Analysis
  • 4.1.1. Software Developers & Vendors
  • 4.1.2. Hardware / Sensor Providers
  • 4.1.3. Regulatory Bodies
  • 4.1.4. End Users
• 4.2. Industry Outlook
  • 4.2.1. Trade Performance of Electrical Transformers
  • 4.2.2. Major Buyers & Suppliers
  • 4.2.3. Overview of Share of Global Electricity Consumption
  • 4.2.4. Role of Transformer Monitoring Systems in Energy Management
• 4.3. PESTLE Analysis
• 4.4. Porter's Five Forces Analysis
  • 4.4.1. Bargaining Power of Suppliers
  • 4.4.2. Bargaining Power of Buyers
  • 4.4.3. Threat of Substitutes
  • 4.4.4. Threat of New Entrants
  • 4.4.5. Degree of Competition
• 4.5. Market Dynamics and Trends
  • 4.5.1. Growth Drivers
  • 4.5.2. Challenges
  • 4.5.3. Key Trends
• 4.6. Market Growth and Outlook
  • 4.6.1. Market Revenue Estimates and Forecast (US$ Mn), 2020-2033
  • 4.6.2. Price Trend Analysis
• 4.7. Competition Dashboard
  • 4.7.1. Market Concentration Rate
  • 4.7.2. Company Market Share Analysis (Value %), 2024
  • 4.7.3. Competitor Mapping
• 4.8. Actionable Insights (Analyst's Recommendations)

Chapter 5. Global Transformer Monitoring Software Market Analysis, By Type

• 5.1. Key Insights
• 5.2. Market Size and Forecast, 2020 - 2033 (US$ Mn)
  • 5.2.1. Dga Software
  • 5.2.2. Bushing Monitoring Software
  • 5.2.3. Partial Discharge (pd) Software
  • 5.2.4. Others

Chapter 6. Global Transformer Monitoring Software Market Analysis, By Application

• 6.1. Key Insights
• 6.2. Market Size and Forecast, 2020 - 2033 (US$ Mn)
  • 6.2.1. Power Transformers
  • 6.2.2. Distribution Transformers

Chapter 7. Global Transformer Monitoring Software Market Analysis, By Region

• 7.1. Key Insights
• 7.2. Market Size and Forecast, 2020-2033 (US$ Mn)
  • 7.2.1. North America
    • 7.2.1.1. The U.S.
    • 7.2.1.2. Canada
    • 7.2.1.3. Mexico
  • 7.2.2. Europe
    • 7.2.2.1. Western Europe
      • 7.2.2.1.1. The UK
      • 7.2.2.1.2. Germany
      • 7.2.2.1.3. France
      • 7.2.2.1.4. Italy
      • 7.2.2.1.5. Spain
      • 7.2.2.1.6. Rest of Western Europe
    • 7.2.2.2. Eastern Europe
      • 7.2.2.2.1. Poland
      • 7.2.2.2.2. Russia
      • 7.2.2.2.3. Rest of Eastern Europe
  • 7.2.3. Asia Pacific
    • 7.2.3.1. China
    • 7.2.3.2. India
    • 7.2.3.3. Japan
    • 7.2.3.4. South Korea
    • 7.2.3.5. Australia & New Zealand
    • 7.2.3.6. ASEAN
    • 7.2.3.7. Rest of Asia Pacific
  • 7.2.4. Middle East & Africa
    • 7.2.4.1. UAE
    • 7.2.4.2. Saudi Arabia
    • 7.2.4.3. South Africa
    • 7.2.4.4. Rest of MEA
  • 7.2.5. South America
    • 7.2.5.1. Argentina
    • 7.2.5.2. Brazil
    • 7.2.5.3. Rest of South America

Chapter 8. North America Transformer Monitoring Software Market Analysis

• 8.1. Key Insights
• 8.2. Market Size and Forecast, 2020-2033 (US$ Mn)
  • 8.2.1. By Type
  • 8.2.2. By Application
  • 8.2.3. By Country

Chapter 9. Europe Transformer Monitoring Software Market Analysis

• 9.1. Key Insights
• 9.2. Market Size and Forecast, 2020-2033 (US$ Mn)
  • 9.2.1. By Type
  • 9.2.2. By Application
  • 9.2.3. By Country

Chapter 10. Asia Pacific Transformer Monitoring Software Market Analysis

• 10.1. Key Insights
• 10.2. Market Size and Forecast, 2020-2033 (US$ Mn)
  • 10.2.1. By Type
  • 10.2.2. By Application
  • 10.2.3. By Country

Chapter 11. Middle East and Africa Transformer Monitoring Software Market Analysis

• 11.1. Key Insights
• 11.2. Market Size and Forecast, 2020-2033 (US$ Mn)
  • 11.2.1. By Type
  • 11.2.2. By Application
  • 11.2.3. By Country

Chapter 12. South America Transformer Monitoring Software Market Analysis

• 12.1. Key Insights
• 12.2. Market Size and Forecast, 2020-2033 (US$ Mn)
  • 12.2.1. By Type
  • 12.2.2. By Application
  • 12.2.3. By Country

Chapter 13. Company Profile (Company Overview, Financial Matrix, Key Product landscape, Key Personnel, Key Competitors, Contact Address, and Business Strategy Outlook)

• 13.1. GE
• 13.2. ABB
• 13.3. Siemens
• 13.4. Doble Engineering Company
• 13.5. Eaton
• 13.6. Weidmann
• 13.7. Schneider Electric
• 13.8. Mitsubishi
• 13.9. Qualitrol
• 13.10. Koncar
• 13.11. Other Prominent Players

Chapter 14. Annexure

• 14.1. List of Secondary Sources
• 14.2. Key Country Markets - Macro Economic Outlook/ Indicators