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Global Power quality Equipment Market to reach USD 49.5 billion by 2027.

Global Power Quality Equipment Market by Equipment (UPS, Harmonic Filters, Surge Protection Devices, Voltage Regulators, Static VAR compensators, Power Quality Meters), Phase (Single and Three Phase), End User (Residential, Commercial, Industrial and manufacturing, Utilities and Transportation), Regional Forecasts 2021-2027

Product Code: EPPGS-10545250
Publish Date: 6-05-2021
Page: 200

Global Power quality Equipment Market is valued approximately at USD 30.2 billion in 2020 and is anticipated to grow with a healthy growth rate of more than 7.3% over the forecast period 2021-2027. Power quality is usually handled by many parameters. The power quality measuring device handles the common characteristics of the flicker, current, harmonics, stress dips, power, voltage and transients. These devices can address a variety of disorders. The fact that instruments that can manage measurements of several disturbances is the principal reason of their use in measurements of power quality, as such disturbances tend to become possible faults. It is hard to forecast in advance what sort of disturbances could lead to possible failure; hence devices with different disturbance detecting capabilities are used. The market is driven by enhancing power quality to reduce overall carbon footprint, maximizing cost and energy savings and increase in the trends for digitization in the telecommunication industry. Power quality equipment for stable power flows is utilized in power grids. The voltage and frequency limitations in grids should be mentioned. It must have a clean wave shape. Good energy efficiency saves money and energy. Power quality equipment helps prevent damages and premature ageing, production losses, data and work losses, abrupt equipment failures, poor performance and unexpected shutdowns and bank failures in a condenser system that saves money and energy as a result. For instance, according to the World Economic Forum 2017, there are new possibilities and topics emerging from the current development in telecommunications industries in the fourth industrial revolution, the Digital Transformation Initiative (DTI) initiative announced by the World Economic Forum. Continuous upgrading of the ageing grid infrastructure and quick urbanization and industrialization will provide the global power quality equipment market with development possibilities. However, high costs of high-end power quality equipment may impede market growth over the forecast period of 2021-2027.

Asia Pacific is predicted to display the highest CAGR over the forecast period. In Asia-Pacific, China and India dominate the market for power quality equipment. Electricity consumption is rising, and renewable power capacity building is increasing. These nations’ utilities are encouraging investments in transmission and distribution infrastructure.

Major market player included in this report are:
Schneider Electric
Toshiba
General Electric
Eaton
Siemens
Ametek Powervar
Piller Power Systems
Leviton Manufacturing
Acumentrics
Infinite Electronics

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Equipment:
Surge arresters
Surge protection devices
Harmonic filters
Power conditioning units
By Phase:
Single Phase
Three Phase
By End use:
Residential
Commercial
Industrial and manufacturing
Utilities
Transportation
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019
Base year – 2020
Forecast period – 2021 to 2027.

Target Audience of the Global Power quality Equipment Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Power Quality Equipment Market, by Region, 2019-2027 (USD Billion)
1.2.2. Power Quality Equipment Market, by Equipment, 2019-2027 (USD Billion)
1.2.3. Power Quality Equipment Market, by Phase, 2019-2027 (USD Billion)
1.2.4. Power Quality Equipment Market, by End use, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Power Quality Equipment Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Power Quality Equipment Market Dynamics
3.1. Power Quality Equipment Market Impact Analysis (2019-2027)
3.1.1. Market Drivers
3.1.1.1. Increasing digitization in the telecommunication industry
3.1.1.2. Enhancing power quality to reduce overall carbon footprint
3.1.1.3. Maximizing cost and energy savings
3.1.2. Market Restraint
3.1.2.1. High costs of high-end power quality equipment
3.1.2.2. Frequent switching of heavy loads connected to power networks
3.1.3. Market Opportunities
3.1.3.1. Integrating variable renewable energy with power grids
3.1.3.2. Increasing adoption of smart grid technologies worldwide
Chapter 4. Global Power Quality Equipment Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Power Quality Equipment Market, by Equipment
5.1. Market Snapshot
5.2. Global Power Quality Equipment Market by Equipment, Performance – Potential Analysis
5.3. Global Power Quality Equipment Market Estimates & Forecasts by Equipment 2018-2027 (USD Billion)
5.4. Power Quality Equipment Market , Sub Segment Analysis
5.4.1. Surge arresters
5.4.2. Surge protection devices
5.4.3. Harmonic filters
5.4.4. Power conditioning units
5.4.5. Other
Chapter 6. Global Power Quality Equipment Market, by Phase
6.1. Market Snapshot
6.2. Global Power Quality Equipment Market by Phase, Performance – Potential Analysis
6.3. Global Power Quality Equipment Market Estimates & Forecasts by Phase 2018-2027 (USD Billion)
6.4. Power Quality Equipment Market , Sub Segment Analysis
6.4.1. Single Phase
6.4.2. Three Phase
Chapter 7. Global Power Quality Equipment Market, by End use
7.1. Market Snapshot
7.2. Global Power Quality Equipment Market by End Use, Performance – Potential Analysis
7.3. Global Power Quality Equipment Market Estimates & Forecasts by End Use 2018-2027 (USD Billion)
7.4. Power Quality Equipment Market , Sub Segment Analysis
7.4.1. Residential
7.4.2. Commercial
7.4.3. Industrial and manufacturing
7.4.4. Utilities
7.4.5. Transportation
Chapter 8. Global Power Quality Equipment Market, Regional Analysis
8.1. Power Quality Equipment Market , Regional Market Snapshot
8.2. North America Power Quality Equipment Market
8.2.1. U.S. Power Quality Equipment Market
8.2.1.1. Equipment breakdown estimates & forecasts, 2018-2027
8.2.1.2. Phase breakdown estimates & forecasts, 2018-2027
8.2.1.3. End use breakdown estimates & forecasts, 2018-2027
8.2.2. Canada Power Quality Equipment Market
8.3. Europe Power Quality Equipment Market Snapshot
8.3.1. U.K. Power Quality Equipment Market
8.3.2. Germany Power Quality Equipment Market
8.3.3. France Power Quality Equipment Market
8.3.4. Spain Power Quality Equipment Market
8.3.5. Italy Power Quality Equipment Market
8.3.6. Rest of Europe Power Quality Equipment Market
8.4. Asia-Pacific Power Quality Equipment Market Snapshot
8.4.1. China Power Quality Equipment Market
8.4.2. India Power Quality Equipment Market
8.4.3. Japan Power Quality Equipment Market
8.4.4. Australia Power Quality Equipment Market
8.4.5. South Korea Power Quality Equipment Market
8.4.6. Rest of Asia Pacific Power Quality Equipment Market
8.5. Latin America Power Quality Equipment Market Snapshot
8.5.1. Brazil Power Quality Equipment Market
8.5.2. Mexico Power Quality Equipment Market
8.6. Rest of The World Power Quality Equipment Market
Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Schneider Electric
9.2.1.1. Key Information
9.2.1.2. Overview
9.2.1.3. Financial (Subject to Data Availability)
9.2.1.4. Product Summary
9.2.1.5. Recent Developments
9.2.2. Toshiba
9.2.3. General Electric
9.2.4. Eaton
9.2.5. Siemens
9.2.6. Ametek Powervar
9.2.7. Piller Power Systems
9.2.8. Leviton Manufacturing
9.2.9. Acumentrics
9.2.10. Infinite Electronics
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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