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Global Polyisocyanurate Insulation Market to reach USD XX billion by 2028.

Global Polyisocyanurate Insulation Market to reach USD XX billion by 2028.

Product Code: CMCC-30276979
Publish Date: 27-03-2022
Page: 200

Global Polyisocyanurate Insulation Market is valued approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX % over the forecast period 2022-2028. Polyisocyanurate insulation refers to a rigid, closed cell foam board-based insulation. Closed cell foam is consist of uniform cells that are closed together to form required shape. These closed cells are pressed together, to block air and moisture from getting inside the foam. It is most widely used as a continuous insulation for roofs and walls, and as a protective roof cover board. Growing construction industry and high R-value (Resistivity to heat) offered by polyisocyanurate are key drivers for the growth of Polyisocyanurate Insulation Market. For instance, according to Oxford economics’ A global Forecast for Construction to 2030 September 2021 report- Global construction output in 2020 was valued at USD 10.7 trillion and as per estimations this output would grow by 42% or USD 4.5 trillion between 2020 and 2030 and would reach to USD 15.2 trillion. Also, Asia Pacific will account for USD 2.5 trillion of growth in construction output between the year 2020 and 2030, witnessing an increase of over 50% and would reach to USD 7.4 trillion Market by the year 2030.Also, in March 2021 Kingspan Insulation LLC, a subsidiary of the Ireland-based Kingspan Group plc has acquired Dyplast Products LLC. Dyplast Products will join the North American region of Kingspan’s Insulation Division. Also, with growing transportation industry and rising infrastructure development in emerging economies, the adoption & demand for Polyisocyanurate Insulation is likely to increase the Market growth during the forecast period. However, availability of other alternatives of Polyisocyanurate Insulation impedes the growth of the Market over the forecast period of 2022-2028.

The key regions considered for the global Polyisocyanurate Insulation Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. Asia-Pacific is the leading region across the world in terms of Market share owing to increasing demand for the end-use applications and presence of leading manufacturers in the region. Whereas, Asia-Pacific is anticipated to exhibit highest growth rate over the forecast period 2022-2028. Factors such as growing non- residential infrastructure development in the region and increasing government spending on infrastructure development in the region would create lucrative growth prospects for the Polyisocyanurate Insulation Market across Asia-Pacific region.

Major Market player included in this report are:
DowDuPont Inc.,
Owens Corning Insulating Systems, LLC,
Kingspan Group plc.,
Honeywell International Inc.,
Johns Manville Corporation,
Stepan Company,
IKO Industries Ltd.,
Soprema Group,
Knauf Insulation
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 Product Type:
Rigid Foam
By Application:
By End Use Industries:
Building & Construction
Consumer Appliances
By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Polyisocyanurate Insulation 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

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Billion)
1.2.1. Polyisocyanurate Insulation Market, by Region, 2020-2028 (USD Billion)
1.2.2. Polyisocyanurate Insulation Market, by Product Type, 2020-2028 (USD Billion)
1.2.3. Polyisocyanurate Insulation Market, by Application, 2020-2028 (USD Billion)
1.2.4. Polyisocyanurate Insulation Market, by End Use Industries, 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Polyisocyanurate Insulation 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 Polyisocyanurate Insulation Market Dynamics
3.1. Polyisocyanurate Insulation Market Impact Analysis (2020-2028)
3.1.1. Market Drivers Growing Construction industry. High resistance to heat value per inch of Polyisocyanurate.
3.1.2. Market Challenges Availability of other alternatives.
3.1.3. Market Opportunities Rising infrastructure development in emerging economies. Growing transportation industry
Chapter 4. Global Polyisocyanurate Insulation 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 (2019-2028)
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
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Polyisocyanurate Insulation Market, by Product Type
6.1. Market Snapshot
6.2. Global Polyisocyanurate Insulation Market by Product Type, Performance – Potential Analysis
6.3. Global Polyisocyanurate Insulation Market Estimates & Forecasts by Product Type 2019-2028 (USD Billion)
6.4. Polyisocyanurate Insulation Market, Sub Segment Analysis
6.4.1. Liquid
6.4.2. Spray
6.4.3. Rigid Foam
Chapter 7. Global Polyisocyanurate Insulation Market, by Application
7.1. Market Snapshot
7.2. Global Polyisocyanurate Insulation Market by Application, Performance – Potential Analysis
7.3. Global Polyisocyanurate Insulation Market Estimates & Forecasts by Application 2019-2028 (USD Billion)
7.4. Polyisocyanurate Insulation Market, Sub Segment Analysis
7.4.1. Acoustic
7.4.2. Thermal
7.4.3. Hybrid

Chapter 8. Global Polyisocyanurate Insulation Market, by End Use Industries
8.1. Market Snapshot
8.2. Global Polyisocyanurate Insulation Market by End Use Industries, Performance – Potential Analysis
8.3. Global Polyisocyanurate Insulation Market Estimates & Forecasts by End Use Industries 2019-2028 (USD Billion)
8.4. Polyisocyanurate Insulation Market, Sub Segment Analysis
8.4.1. Building & Construction
8.4.2. Transport
8.4.3. Consumer appliances
8.4.4. Others

Chapter 9. Global Polyisocyanurate Insulation Market, Regional Analysis
9.1. Polyisocyanurate Insulation Market, Regional Market Snapshot
9.2. North America Polyisocyanurate Insulation Market
9.2.1. U.S. Polyisocyanurate Insulation Market Product Type breakdown estimates & forecasts, 2019-2028 Application breakdown estimates & forecasts, 2019-2028 End Use Industries breakdown estimates & forecasts, 2019-2028
9.2.2. Canada Polyisocyanurate Insulation Market
9.3. Europe Polyisocyanurate Insulation Market Snapshot
9.3.1. U.K. Polyisocyanurate Insulation Market
9.3.2. Germany Polyisocyanurate Insulation Market
9.3.3. France Polyisocyanurate Insulation Market
9.3.4. Spain Polyisocyanurate Insulation Market
9.3.5. Italy Polyisocyanurate Insulation Market
9.3.6. Rest of Europe Polyisocyanurate Insulation Market
9.4. Asia-Pacific Polyisocyanurate Insulation Market Snapshot
9.4.1. China Polyisocyanurate Insulation Market
9.4.2. India Polyisocyanurate Insulation Market
9.4.3. Japan Polyisocyanurate Insulation Market
9.4.4. Australia Polyisocyanurate Insulation Market
9.4.5. South Korea Polyisocyanurate Insulation Market
9.4.6. Rest of Asia Pacific Polyisocyanurate Insulation Market
9.5. Latin America Polyisocyanurate Insulation Market Snapshot
9.5.1. Brazil Polyisocyanurate Insulation Market
9.5.2. Mexico Polyisocyanurate Insulation Market
9.6. Rest of The World Polyisocyanurate Insulation Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. DowDuPont Inc., Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.2.2. Owens Corning Insulating Systems, LLC,
10.2.3. Saint-Gobain,
10.2.4. Kingspan Group plc.,
10.2.5. Honeywell International Inc.,
10.2.6. Johns Manville Corporation,
10.2.7. Stepan Company,
10.2.8. IKO Industries Ltd.,
10.2.9. Soprema Group,
10.2.10. Knauf Insulation
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. 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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