IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i3p682-d1581980.html
   My bibliography  Save this article

Comparative Analysis of Smart Building Solutions in Europe: Technological Advancements and Market Strategies

Author

Listed:
  • Negar Mohtashami

    (Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany)

  • Nils Sauer

    (Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany)

  • Rita Streblow

    (Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany)

  • Dirk Müller

    (Institute for Energy Efficient Buildings and Indoor Climate, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany)

Abstract

This paper provides a comprehensive comparative analysis of smart building solution providers within Europe, emphasizing the technological advancements and market strategies employed by companies selected for the study. As energy efficiency becomes a critical focus due to rising global energy demands and climate change concerns, smart building technologies have emerged as pivotal in optimizing energy use and enhancing occupant comfort. This study examines 19 products from 15 prominent manufacturers, categorized into six product categories: smart thermostats, smart valves, HVAC control, data acquisition and energy management software, smart home ecosystems, and home energy management systems. Using a comparative assessment matrix and SWOT analysis, the paper evaluates these products across five key areas: service impacts, market penetration, investment topics, business models, and value propositions. Findings highlight a strong focus of manufacturers in energy efficiency and comfort services, while identifying opportunities for improvement in energy flexibility and health integration. This analysis aims to guide stakeholders in strategic planning and decision-making, offering insights into the current and future landscape of the smart building solutions market.

Suggested Citation

  • Negar Mohtashami & Nils Sauer & Rita Streblow & Dirk Müller, 2025. "Comparative Analysis of Smart Building Solutions in Europe: Technological Advancements and Market Strategies," Energies, MDPI, vol. 18(3), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:682-:d:1581980
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/3/682/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/3/682/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ahmad, Ashfaq & Khan, Jamil Yusuf, 2020. "Real-Time Load Scheduling, Energy Storage Control and Comfort Management for Grid-Connected Solar Integrated Smart Buildings," Applied Energy, Elsevier, vol. 259(C).
    2. Karam M. Al-Obaidi & Mohataz Hossain & Nayef A. M. Alduais & Husam S. Al-Duais & Hossein Omrany & Amirhosein Ghaffarianhoseini, 2022. "A Review of Using IoT for Energy Efficient Buildings and Cities: A Built Environment Perspective," Energies, MDPI, vol. 15(16), pages 1-32, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Deng, Xiangtian & Zhang, Yi & Jiang, Yi & Zhang, Yi & Qi, He, 2024. "A novel operation method for renewable building by combining distributed DC energy system and deep reinforcement learning," Applied Energy, Elsevier, vol. 353(PB).
    2. Luna, José Diogo Forte de Oliveira & Naspolini, Amir & Reis, Guilherme Nascimento Gouvêa dos & Mendes, Paulo Renato da Costa & Normey-Rico, Julio Elias, 2024. "A novel joint energy and demand management system for smart houses based on model predictive control, hybrid storage system and quality of experience concepts," Applied Energy, Elsevier, vol. 369(C).
    3. Hossein Omrany & Karam M. Al-Obaidi & Amreen Husain & Amirhosein Ghaffarianhoseini, 2023. "Digital Twins in the Construction Industry: A Comprehensive Review of Current Implementations, Enabling Technologies, and Future Directions," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    4. Haider, Haider Tarish & Muhsen, Dhiaa Halboot & Al-Nidawi, Yaarob Mahjoob & Khatib, Tamer & See, Ong Hang, 2022. "A novel approach for multi-objective cost-peak optimization for demand response of a residential area in smart grids," Energy, Elsevier, vol. 254(PB).
    5. Dongsu Kim & Jongman Lee & Sunglok Do & Pedro J. Mago & Kwang Ho Lee & Heejin Cho, 2022. "Energy Modeling and Model Predictive Control for HVAC in Buildings: A Review of Current Research Trends," Energies, MDPI, vol. 15(19), pages 1-30, October.
    6. João Monteiro & Nuno Sousa & João Coutinho-Rodrigues & Eduardo Natividade-Jesus, 2024. "Challenges Ahead for Sustainable Cities: An Urban Form and Transport System Review," Energies, MDPI, vol. 17(2), pages 1-26, January.
    7. Fiorotti, Rodrigo & Fardin, Jussara F. & Rocha, Helder R.O. & Rua, David & Lopes, João Abel Peças, 2024. "Day-ahead optimal scheduling considering thermal and electrical energy management in smart homes with photovoltaic–thermal systems," Applied Energy, Elsevier, vol. 374(C).
    8. Fedorczak-Cisak, Małgorzata & Radziszewska-Zielina, Elżbieta & Nowak-Ocłoń, Marzena & Biskupski, Jacek & Jastrzębski, Paweł & Kotowicz, Anna & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2023. "A concept to maximise energy self-sufficiency of the housing stock in central Europe based on renewable resources and efficiency improvement," Energy, Elsevier, vol. 278(C).
    9. Alzahrani, Ahmad & Sajjad, Khizar & Hafeez, Ghulam & Murawwat, Sadia & Khan, Sheraz & Khan, Farrukh Aslam, 2023. "Real-time energy optimization and scheduling of buildings integrated with renewable microgrid," Applied Energy, Elsevier, vol. 335(C).
    10. Xin, Xin & Liu, Yanfeng & Zhang, Zhihao & Zheng, Huifan & Zhou, Yong, 2025. "A day-ahead operational regulation method for solar district heating systems based on model predictive control," Applied Energy, Elsevier, vol. 377(PC).
    11. Danuta Szpilko & Xavier Fernando & Elvira Nica & Klaudia Budna & Agnieszka Rzepka & George Lăzăroiu, 2024. "Energy in Smart Cities: Technological Trends and Prospects," Energies, MDPI, vol. 17(24), pages 1-35, December.
    12. Saman Nikkhah & Adib Allahham & Janusz W. Bialek & Sara L. Walker & Damian Giaouris & Simira Papadopoulou, 2021. "Active Participation of Buildings in the Energy Networks: Dynamic/Operational Models and Control Challenges," Energies, MDPI, vol. 14(21), pages 1-28, November.
    13. Zeb, Aurang & Ahmad, Waseem & Asif, Muhammad & Simic, Vladimir & Senapati, Tapan & Hou, Muzhou, 2024. "Optimizing decision-making in electric power system selection: A generalized approach based on Hamacher aggregation operators for q-rung orthopair fuzzy soft sets," Applied Energy, Elsevier, vol. 367(C).
    14. Rokonuzzaman, Md. & Rahman, Saifur & Hannan, M.A. & Mishu, Mahmuda Khatun & Tan, Wen-Shan & Rahman, Kazi Sajedur & Pasupuleti, Jagadeesh & Amin, Nowshad, 2025. "Levenberg-Marquardt algorithm-based solar PV energy integrated internet of home energy management system," Applied Energy, Elsevier, vol. 378(PA).
    15. Jakub Hyla & Wojciech Sułek, 2023. "Energy-Efficient Raptor-like LDPC Coding Scheme Design and Implementation for IoT Communication Systems," Energies, MDPI, vol. 16(12), pages 1-21, June.
    16. Ahmad, Ashfaq & Khan, Jamil Yusuf, 2022. "Optimal Sizing and Management of Distributed Energy Resources in Smart Buildings," Energy, Elsevier, vol. 244(PB).
    17. Fateme Dinmohammadi & Anaah M. Farook & Mahmood Shafiee, 2025. "Improving Energy Efficiency in Buildings with an IoT-Based Smart Monitoring System," Energies, MDPI, vol. 18(5), pages 1-29, March.
    18. Daniela Cristina Momete, 2023. "Salient Insights on the Performance of EU Member States on the Road towards an Energy-Efficient Future," Energies, MDPI, vol. 16(2), pages 1-17, January.
    19. Yang, Yuyan & Xu, Xiao & Luo, Yichen & Xu, Lixiong & Liu, Junyong & Hu, Weihao, 2024. "Human-safe and economic operation of renewable hydrogen-based microgrids under plateau conditions," Renewable Energy, Elsevier, vol. 231(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:682-:d:1581980. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.