International Peer-Reviewed JournalOpen AccessISSN 2456-8880
irejournals@gmail.com+91-7433024337

Home / Current Issue / Paper 1719762

1719762 Vol 10 · Issue 1 Download Paper

Optimising Real Estate Investment Through Technology

Olatunde Badmus Dayo Jegede Yusuf Babatunde Adejumo Njoku Francis Kelechi

Subject area: Science,Engineering and Technology  ·  Area of research: Real Estate Investment

DOI: https://doi.org/10.64388/IREV10I1-1719762

Abstract

This study will review the impact of technology on optimizing real estate investment and explain the emergence of new digital technology and solutions that are transforming real estate investment decision-making, asset management, transaction processes and real estate portfolio performance. The study highlights the influence of artificial intelligence (AI), machine learning, big data analytics, blockchain technology, PropTech platforms, smart buildings, Internet of Things (IoT) systems and digital twin technologies on the current real estate investment landscape, based on current industry developments, examples and technological trends. The study shows that AI tools for valuation analysis, predictive data analysis, and automated due diligence procedures boost the accuracy, speed, and efficiency of investment decisions. By processing large volumes of data, big data analytics facilitates market intelligence, allowing investors to make more accurate and precise decisions on investment opportunities. Moreover, blockchain technology and tokenization open up new avenues for transparency, liquidity, and fractional ownership, making real estate investment assets more accessible to investors. Moreover, the research underscores the increasing significance of digital investment platforms in promoting the democratization of property markets and streamlining transactions. Smart building technologies and digital twins also help improve the operations of the building, its sustainability, and long-term asset value creation. Despite these advantages, there are still concerns about the limitations with the data quality, potential security breaches, regulatory uncertainty, algorithmic bias, and relying too heavily on automated systems. The study has found that technology has become a strategic need for real estate investment and not just a supportive tool. The ability of investors who successfully combine technological innovation with expertise is poised to help them create better risk-adjusted returns, efficiency, and sustainable long-term growth in a digital real estate landscape.

Keywords

Real Estate Investment, PropTech, Artificial Intelligence, Big Data Analytics, Blockchain Technology, Smart Buildings, Digital Twins, Asset Management.

How to cite this paper

Olatunde Badmus, Dayo Jegede, Yusuf Babatunde Adejumo, Njoku Francis Kelechi "Optimising Real Estate Investment Through Technology" Iconic Research And Engineering Journals, vol. 10, no. 1, Jul. 2026, doi: https://doi.org/10.64388/IREV10I1-1719762
Olatunde Badmus, Dayo Jegede, Yusuf Babatunde Adejumo, Njoku Francis Kelechi (2026). Optimising Real Estate Investment Through Technology. Iconic Research And Engineering Journals, 10(1). doi: https://doi.org/10.64388/IREV10I1-1719762
Olatunde Badmus, Dayo Jegede, Yusuf Babatunde Adejumo, Njoku Francis Kelechi "Optimising Real Estate Investment Through Technology" Iconic Research And Engineering Journals, vol. 10, no. 1, Jul. 2026. Crossref, https://doi.org/10.64388/IREV10I1-1719762
@article{1719762,
      author = {Olatunde Badmus, Dayo Jegede, Yusuf Babatunde Adejumo, Njoku Francis Kelechi},
      title = {Optimising Real Estate Investment Through Technology},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {1},
      pages = {1372-1386},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1719762.pdf},
      abstract = {This study will review the impact of technology on optimizing real estate investment and explain the emergence of new digital technology and solutions that are transforming real estate investment decision-making, asset management, transaction processes and real estate portfolio performance. The study highlights the influence of artificial intelligence (AI), machine learning, big data analytics, blockchain technology, PropTech platforms, smart buildings, Internet of Things (IoT) systems and digital twin technologies on the current real estate investment landscape, based on current industry developments, examples and technological trends. The study shows that AI tools for valuation analysis, predictive data analysis, and automated due diligence procedures boost the accuracy, speed, and efficiency of investment decisions. By processing large volumes of data, big data analytics facilitates market intelligence, allowing investors to make more accurate and precise decisions on investment opportunities. Moreover, blockchain technology and tokenization open up new avenues for transparency, liquidity, and fractional ownership, making real estate investment assets more accessible to investors. Moreover, the research underscores the increasing significance of digital investment platforms in promoting the democratization of property markets and streamlining transactions. Smart building technologies and digital twins also help improve the operations of the building, its sustainability, and long-term asset value creation. Despite these advantages, there are still concerns about the limitations with the data quality, potential security breaches, regulatory uncertainty, algorithmic bias, and relying too heavily on automated systems. The study has found that technology has become a strategic need for real estate investment and not just a supportive tool. The ability of investors who successfully combine technological innovation with expertise is poised to help them create better risk-adjusted returns, efficiency, and sustainable long-term growth in a digital real estate landscape.},
      keywords = {Real Estate Investment, PropTech, Artificial Intelligence, Big Data Analytics, Blockchain Technology, Smart Buildings, Digital Twins, Asset Management.},
      month = {July},
      doi = {https://doi.org/10.64388/IREV10I1-1719762}
  }