Unitary Trends Report

Stay ahead in the HVAC industry with our 2023 Unitary Trends CLEAReport, offering key insights into brand familiarity, satisfaction, and market trends to help you make informed decisions and stay competitive.

Why Download this Report?

  • Stay ahead in the HVAC industry with our comprehensive 2023 Unitary Trends CLEAReport. This invaluable resource provides detailed insights into brand familiarity, satisfaction, and the likelihood of switching brands among industry professionals. The report is based on data collected from a diverse group of HVAC professionals, including those involved in residential, commercial, and industrial sectors. It highlights key trends, challenges, and opportunities in the unitary HVAC market, helping you make informed decisions and stay competitive. Gain a deeper understanding of which brands are leading the market, what drives brand loyalty, and the factors influencing brand purchasing decisions.

Who Should Read this Report?

  • Vice Presidents, Directors, and Managers: In Engineering, Planning, Sales, Business Development, Human Resources, and Operations who oversee or influence brand selection and strategic planning in the HVAC market.

  • HVAC Contractors and Installers: To refine brand offerings and align with industry trends and best practices.

  • Product Managers and Developers: Designing HVAC products that meet current market needs and emerging trends in brand preferences.

  • Dealers and Distributors: To understand contractor preferences and develop targeted inventory and sales strategies.

  • Business Development and Marketing Professionals: To better understand industry demands and develop targeted marketing strategies based on brand loyalty and contractor preferences.

  • Manufacturers and Suppliers: Aligning product offerings with the latest contractor demands and trends in the HVAC market.

  • Industry Consultants, Advisors, and Business Strategists: Identifying growth opportunities and aligning business strategies with market trends in unitary HVAC systems.

Study Objectives

  • Identify Brand Familiarity: Determine which unitary HVAC brands industry professionals are most familiar with.

  • Analyze Market Leaders: Understand which brands are perceived as the current industry leaders in the unitary HVAC sector.

  • Measure Brand Satisfaction: Evaluate the level of satisfaction industry professionals have with various unitary HVAC brands.

  • Assess Brand Loyalty: Identify which brands professionals consider as their primary, secondary, and tertiary choices.

  • Explore Brand Switching Tendencies: Examine how likely professionals are to switch brands and the reasons behind potential switches.

  • Understand Purchasing Drivers: Identify the most important factors driving unitary HVAC brand purchasing decisions.

Methodology

  • The data for this report was collected through online surveys completed by active, qualified subscribers to The NEWS, Plumbing & Mechanical, PM Engineer, Engineered Systems, and SNIPS, as well as members of myCLEARopinion Panel, who are responsible for or influence decisions on which residential and light commercial HVAC brands their company purchases. Data was collected from September 25 – October 6, 2023.

  • This report also was published in 2021, 2019, 2017, 2015. If you have questions or wish to purchase past published reports, please contact us using our contact us form at: https://www.myclearopinioninsightshub.com/contact.

Data Analysis

  • We use SPSS, a statistical software package, to tabulate all closed-ended numerical data, while open-ended questions are either summarized, coded, or included as written by respondents. Data is presented in graphic and tabular formats, detailing the number of respondents for each question. Sample sizes may vary throughout the report due to skip logic, data cleaning, or missing responses, and some totals may not equal 100% due to rounding. Key metrics include the mean (arithmetic average) and median (middle value of responses). Net values, such as top 2 box scores, may not match individual percentages due to rounding. Sample sizes are indicated as 'n=xx,' with sizes of 30 or more considered statistically reliable, while those below 15 are interpreted directionally. Statistical significance is highlighted at a 95% confidence level, showing results that are likely not due to chance. Significant differences between response options are clearly indicated in the report.

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