Before we talk about the spatial correlation, we will have a glimpse of the spatial distribution of different type of neighborhood or census attributes as well as the businesses or Point of Interests in Hong Kong, we will first use the map visualization tool BizMap to illustrate.

Link: https://bizmap.propertyai.com/

e.g. Following is the spatial distribution of the younger population in Hong Kong.

compare to following distribution of population of age > 65

Another example, following is distribution of less educated population

Following is distribution of more educated population

About the businesses, for example, following is the distribution of fast food restaurant

And we want to find out the correction between them, if any.

There is a Spatial Correlation Analysis tool to let users explore the relationship between spatial distribution of businesses against the neighborhood demographics. This tool might help users to get insights on retail site selection.

Link:　https://shopportunity.propertyai.com/chart.php

In the left panel you can choose a theme in Census data against a business type. e.g. If you choose Age against Restaurant, you will see the following chart

For example to explore the fast food data, you will find that it is relatively higher correlated with aged population, while with very low correlation with mid age population 25-44.

On the other hand, for Bar, it is high correlated with mid age population, while lower in other age groups.

If zoom into the aged population (>65), it is strange to find Pacific Coffee has higher correlation with this age group. Also in general the following type of restaurants are higher correlated to aged population.

• Big pai dong
• Fast food
• Takeaway
• Tea restaurant

While the following type of restaurants are of lower correlation to this age group.

• Bar
• Sugar soup
• Taiwanese drink
• Steak house

For another example, when we look into Household composition vs. Shops

We found that cafe (both Starbucks and Pacific coffee) has lower correlation to neighborhood with family with unmarried children.

In another chart about Education attainment vs. shop, we observe that the cafe is more correlated to place with more educated population, and relative low correlation with population with lower education.

Other type of census data set are available for you to further explore.

Thanks.

In the Asia Safety Management Summit held recently, some sensors technologies for predictive maintenance were discussed by the speakers. Here we grab few of them to discuss.

Traditionally for high-rise building facade condition inspection, technicians on scaffolding or aerial lifts need to use a hammer to tap on the facade and identify different issues from the hollow sounds it produce based on their own experience. A pilot project by CUHK attempts to use robots and AI analytics (Artificial Neural Network) to perform this task, and they succeed to convert the technician's experiential knowledge into an AI model.

The project is called RoboTapper

Another product discussed is from Groundup.ai, which is a vibration sensor (i.e. how to get the data) + analytics engine (i.e. how to use the data), after the sensor is attached to the asset like a pump, the vibration it detects from the asset will predict if any potential failure would happen.

The startup behind this collects a global database of different errors of specific assets, and used it to train model to assist identifying new issues. They call this Asset Library.

Following is the architecture.

A similar local startup is called Xtra Sensing, following is their introduction video, they also use vibration analytics to predict failure of assets. They describe that as the Chinese medicine concept of predictive treatment, and they have extended their business to Taiwan, Singapore, UK and Canada.

Following diagram explains their prediction logic.

On the other hand some package Asset Management software like IBM Maximo, which also has the predictive maintenance capability. They has a relatively generic way to handle this. e.g. in Maximo, user can use their own historical data to train up the prediction model, it will in return do the analytics and predict failure, user owns the data as well as the model, yet the entry barrier is relatively high, compare to the plug and play sensors like what Groundup.ai and Xtra Sensing offer.

Because of the generic platform approach, it can works for wider range of assets with relatively lower marginal cost. And health scores can be calculated and compared among all kind of assets, which provides the whole picture and help the facility managers to identify critical assets to put more maintenance resources on.

IBM Maximo Application Suite Overview

Learn about Maximo Application Suite, with an overview of each of its applications (MAS 8.11)

Maximo Secrets

Following is the prediction logic of such package solution.

Thanks.

3D Basecamp Hong Kong is a half day event on 13 Sep 2024 organized by Trimble SketchUp and Condata. It showcases a lot of innovative applications from the SketchUp product line. Mission of the company: to connect the digital and physical worlds.

Unlike other BIM products, Sketchup is traditionally more focus on the rapid geometry creation, now, is extending to more context of the physical object representation and solving the real world problems. E.g. using AI to classify room and space inventory and automatically identify objects such as windows, doors, walls, slabs, etc in the model, which enables a lot of BIM applications.

Applications such as 6D (Operations) and 7D BIM (Sustainability analysis).

It was mentioned an alternative to Boston Dynamics in Mainland which can carry the Trimble sensors for reality capture.

宇树科技—全球四足机器人行业开创者

宇树科技是全球最早公开零售高性能四足机器人和最早实现四足机器人行业落地的世界知名机器人公司，专注于消费级、行业级高性能四足机器人、灵巧机械臂自主研发、生产及销售，并且全球销量历年领先。曾经荣登《央视春晚》《北京冬奥会开幕式》《美国超级碗》等。

宇树科技—全球四足机器人行业开创者

A guru from Taiwan, Titan, introduce his journey in BIM.

BIM1.0 - around 2010

BIM2.0 - around 2019, add collaboration tool, openBIM movement

BIM3.0 - now, add 7D to 10D BIM, IoT, Digitral Twin, AI

A new tool called Diffusion will generate different styles that can be applied to the model base on user prompt.

A new tool called OpenAI Explorer can execute command base on user prompt. E.g. put a flower vase at the center on top of every table, then Ruby script will be generated and executed.

Model is also increasely used for manufacturing.

A new tool for SketchUp for Air can be used to generate inspiring models by AIGC. Following is an example using this.

Chaos also showcases the works by designers. Following is the photo realistic works done with V-Ray.

This Shenzhen company 天宫开物 develops series of products base on SketchUp, meeting the industrials workflow requirements of drawing generation at a reasonable cost.

Lucky draw

Booth

Thanks.

Design:

Tim Fu is a designer and founder of StudioTimFu, a high-tech architectural practice pioneering in computational design and AI, formerly from Zaha Hadid Architects. He collaborated with OpenAI's Sora to showcase Sora's potential for architecture. It renders realistic video walkthroughs of architectural spaces, with photorealistic interpretations of material expression, lighting and spatial quality.

Dami Lee, a Youtuber and Architect, discussed about if AI will replace human Architects in the future.

Vendors like Autodesk incorporate AI into their product to achieve something call Generative design or Parametric design, upon inputing some scoring criteria, the software can generate a number of design options for designer to further work on.

Building Department and Lands Department developed some AI plugin tool to automatically check building code compliance in the drawings and BIM models.

Construction:

DevB is promoting site safety software to be used in construction sites. They use AI in video analytics to track and monitor some safety metrics in the sites.

Robotics also help alot of work in construction site

Operations:

IBM has a product called Visual Inspection, users can train the system with their own images e.g. crack on the wall, and they will train the model to deploy to the robotics or drones for daily inspection and patrolling. When they sense any abnormality they can send alert and raise a service request in the backend facility management system.

HVAC/Chiller optimization using AI and IoT sensors to save 20-30% of eletricity cost.

Predictive maintenance using asset health data to predict asset failure and optimize maintenance resources.

Shopping mall operators also use AI analytics to track people flow and optimize the shop layout.

In summary, AI has been widely used in the building lifecycle spectrum, some are disruptive and evolving quickly, building professionals must adapt their existing skills to better utilize AI in their work.

Thanks.

Traditionally some organizations in Hong Kong such as Universities would use a kind of software called Computer Aided Facility Management (CAFM) now called Integrated Workspace Management System (IWMS), these software are built on top of CAD, and nowaday BIM. It is said that at that time CAFM was the only software which can help the organization to compile reports of the gloss floor area and usage by departments by deducting the columns area and considering wall thickness in the CAD drawings automatically. Today, it seems like a de facto standards for a BIM software to output the schedule of space inventory. As in BIM, every object has its own family and type, the software has a better understanding on the buildings' space context. Popular CAFM softwares being adopted in Hong Kong including IBM Tririga and Archibus. Linkey, a software developed by a local company, also gains some recognition.

In recent years, with the advancement in IoT technologies, indoor positioning becomes affordable, using beacons hardware or WIFI fingerprint technologies, or even video analytics of camera to track and locate objects like people and assets. Traditional big players such as Esri and Autodesk are entering the market of indoor mapping, bringing the technologies which is originally used for tracking vehicles in the road networks, to now tracking people in the building path networks, thus some call it IndoorGIS. In fact these tracking technologies have been widely adopted in construction Smart Site Safety System (SSSS),  with new policy from Development Bureau to mandate the adoption for capital works projects exceeding HK$30 million. But we think that the indoor map is equally important in Facility Management area, taking buildings maintenance works as an example, assumed the technicians positions are tracked, say if there are an emergency work request or asset breakdown, the system can dispatch the work to the technican which is closest to the incident location (with matching skillsets and availability), in order to minimize overall response time. Facility Manager can also use the indoor path network to perform a travelling salesman analysis to plan the upcoming inspection or patrolling routes, in order to save tranvelling cost and time (and planning time). For site selection, building owner can decide where to put their storerooms or some facilities in the building, in order to maximize the efficiency and accessibility of the people inside the buildings. Not to mention, Augmented Reality applications can also be developed based on the indoor map. Indoor map uses are really limited only by imagination.

There are also local startups such as Mapxus who work in this area. The Lands Department is promoting the use of 3d Indoor Map, and gradually opening the 3d indoor map data of buildings in Hong Kong, they have conducted a pilot project to generate 3d indoor map covering 1,250 buildings of Hong Kong which can be downloaded in the CSDI portal.

Thanks.

The ELEMENTAL studio is headed by artistic director Alejandro Aravena, winner of the Pritzker Prize in 2016.

The studio is based in the capital of Chile, Santiago. The agency's slogan "half of a good house" defines their strategy in a simplified manner. According to them, a middle-class family requires on average a house of 80 sqm to live adequately. However, the subsidies granted by the government only make it possible to build 40 sqm. Instead of building a home twice as small, ELEMENTAL builds “half houses” at the same cost and enables customers to build the other halves themselves. The combination of good design and the engagement of the owners creates more sustainable housing areas.

They completed a number of projects, including the Iquique project in Chile (2003) and the Monterrey project in Maxico (2010)

Also, the building owner can participate in designing their own buildings through some workshops.

Another interesting project is Sky House in Tokyo, by Architect Kiyonori Kikutake in 1958. Where building components can be plugged in to the main structure base on needs over time.

In Hong Kong, Legislative Council member Tse Wai-chuen proposed a similar concept in 2018 to increment the industrial buildings.

Reference:

【土地大辯論】謝偉銓倡舊公屋Lego式嵌組合屋　5年供兩萬單位

政府的土地大辯論展開後爭議不斷，立法會建築、測量、都市規劃及園境界議員謝偉銓聯同業界測量師成立小組，建議在部份早期落成公共屋邨的外牆及天台加建預製組合屋，以目前合資格的257幢屋邨計算， 五年可提供約兩萬個單位。

香港01李偉欣

With the increasing usage of MIC on buildings construction, some local academic project suggested a concept called Lego based facade system, where building owners can choose the component they want to plug onto the facade of their unit, then it is shipped from stores or manufactured in factory on demand, building owner can even design their own addon based on standard.

Thanks.

BIM (Building Information Modelling) was initially used for the Design and Construction of buildings, but more and more it is used in the building operations and other PropTech areas with the emerging digital twin and IoT technologies.

The International Conference on BIM Technology is one of the biggest annual BIM events in Mainland China. Building on the success of previous years, the 11^th International Conference on BIM Technology was the first time conducted in Hong Kong, held on 30-31 May 2024. With 2-day live presentations and technical visits in Hong Kong, it offered a unique platform to explore the latest advancements in the construction and PropTech industries.

Here are some snapshots...

Booths showing Construction and PropTech solutions from local HK institutions and Mainland companies.

Group photo

Dr. Dennis from U.S. introduced the OpenBIM concepts, and some terminologies such as BSDD (Data Dictionary) and IDS (Information Delivery Spec)

Chating with the BIM model of Villa Savoye, what a contradiction! NADIA is a AI project by team of Prof. Ghang LEE from Korea.

Prof. Jack CHENG from HKUST talked about Digital Twin Maturity.

Mr. David FUNG of ACID talked about the first BIM project he did back in 2002!

Mr. Simon NG talked about the collaboration between Mainland and Hong Kong.

This company has a very nice slogan, 見所未建. introducing BIM + AR tools. And their logo is the word見

The event was held in Marriott Hotel in Ocean Park, can you see the fish on the ceiling?

There were much much more speakers and sessions I didn't cover. For details please see https://minerals.hk/cgs.bimconf/

Lastly a snapshots video.

Thanks.

Some ideas on how IoT can be used in buildings and help property management. (will keep update the list if found interesting ideas)

People counting sensor + thermostats sensor can be used to finetune AC distribution / lighting
and thus reduce energy use

People counting sensor can also help track how space/room is utilized in a building

Asset Tracking (e.g. RFID)
track furniture, how many chairs are in the meeting room right now?
with indoor positioning, navigate frontline technicians to inspect or repair an asset.

For shopping mall
Video analytics (Camera or People Counting Sensor without camera with higher privacy)
conversion rate analysis - how many ppl pass by, how many enter the shop, how many pick up the goods, how many actually buy
Map hotspot inside the shop area, re-layout to optimize the sales

Door contact
Ppl in disabled toilet over 30 minutes
Fire door opened more than 1 minute
-> send sms to property management staffs

PM2.5 sensor
If every buildings in Hong Kong has a PM2.5 sensor, we can map a micro block level air quality map and people can choose the route to travel with the cleanest air
We can also detect is anywhere air quality become unhealth and alert the stakeholder, i.e. people who will be in that area

Predictive Maintenance
Putting sensors on critical assets such as elevators, HVAC, collecting meters readings and determine health of the asset, some software/cloud service such as IBM Maximo can even tell when will the next failure for the asset using AI and machine learning.

With over 300 exhibitors, latest technologies on IoT, robotics and application platforms were showcased, from software products to facilitate property management and facility management operations, to sensors and hardware for building automation, cleaning, security, parking etc.

As a property manager in Hong Kong looking to implement IoT (Internet of Things) technology, there are several factors to consider. Here are some key aspects to take into account:

1. Objectives and use cases: Start by identifying the specific goals you want to achieve through IoT implementation. Common use cases for property managers include energy management, security, predictive maintenance, and tenant comfort.
2. Budget and ROI: Determine your budget and expected return on investment (ROI). Consider both the initial investment for setting up the IoT infrastructure and the ongoing costs for maintenance and updates.
3. Regulations and compliance: Familiarize yourself with local regulations and compliance requirements related to IoT implementation, such as data protection, privacy, and building codes.
4. Connectivity and network infrastructure: Assess the existing network infrastructure in your property and determine the most suitable connectivity option for your IoT devices, such as Wi-Fi, LoRaWAN, or cellular networks.
5. Device selection and compatibility: Choose the appropriate IoT devices and sensors for your specific use cases. Make sure they are compatible with your chosen network infrastructure and can be easily integrated with your existing property management systems.
6. Data storage and security: Ensure the IoT system you implement has robust data storage and security features. Protect sensitive tenant data and comply with data protection regulations.
7. Integration and interoperability: Select an IoT platform that offers seamless integration with your existing property management software and systems. Look for an open, modular, and scalable platform that supports interoperability between different devices and applications.
8. Vendor selection and support: Carefully evaluate potential IoT vendors and partners, considering their experience, reputation, and support services. Look for vendors with a track record of successful IoT implementations in property management.
9. Training and change management: Train your staff on the new IoT systems, and ensure they understand how to use and maintain the devices. Implement a change management process to help your organization adapt to the new technology.
10. Monitoring and maintenance: Regularly monitor the performance of your IoT devices and infrastructure. Schedule routine maintenance, updates, and repairs to ensure the system remains reliable and secure.

Following elaborate more about the above concepts.

Objectives and use cases:

• Energy management: IoT devices such as smart thermostats, lighting controls, and energy consumption monitoring systems can help optimize energy usage, reduce costs, and lower the carbon footprint of your property.
• Security: IoT security solutions like smart locks, access control systems, and video surveillance can enhance the safety of your property and provide peace of mind for tenants.
• Predictive maintenance: IoT sensors can monitor the health of critical building systems (e.g., HVAC, plumbing, and electrical systems) and predict potential failures, allowing for proactive maintenance and reducing downtime. For example, some success cases in Hong Kong integrate IoT (and BIM) with Asset Management software such as IBM Maximo for property management to improve the assets life cycle and lower energy consumption.
• Tenant comfort: IoT technology can be used to create a personalized experience for tenants, such as adjusting temperature and lighting preferences, managing access to amenities, and offering smart home integration.

Connectivity and network infrastructure:

Different connectivity options have their own strengths and weaknesses. For example:

• Wi-Fi: Offers high bandwidth and is suitable for high-data-rate applications. However, it may have limited range and can be affected by interference.
• LoRaWAN: Provides long-range, low-power connectivity, making it suitable for battery-operated devices. It has lower data rates compared to Wi-Fi and may not be suitable for high-data-rate applications.
• Cellular networks (e.g., 4G, 5G): Offer wide coverage and high data rates but may have higher costs and power requirements. For older buildings in Hong Kong without LoRa and Wi-Fi infrastructure, cellular is an optimal solutions for IoT devices connectivity.

Data storage and security:

To ensure data security, consider the following measures:

• Data encryption: Encrypt data at rest and in transit to protect it from unauthorized access.
• Access control: Implement strict access control measures to limit who can access the IoT data and systems.
• Regular security audits: Conduct periodic security audits to identify vulnerabilities and address them promptly.
• Software updates: Regularly update the software and firmware of your IoT devices and systems to fix security vulnerabilities and improve performance.

Integration and interoperability:

To ensure seamless integration and interoperability of your IoT system, consider these factors:

• Open standards: Choose IoT devices and platforms that support open standards like MQTT, CoAP, and Zigbee to facilitate communication between different devices and systems.
• APIs: Make sure the IoT platform provides APIs (Application Programming Interfaces) that allow you to integrate it with your property management software and other systems.
• Scalability: Select an IoT platform that can scale as your property management needs grow, allowing you to add more devices and features over time.

Vendor selection and support:

When evaluating IoT vendors, consider the following:

• Experience: Look for vendors with experience in implementing IoT solutions in property management and a proven track record of success.
• Reputation: Research the vendor's reputation through customer reviews, case studies, and industry awards.
• Support services: Choose a vendor that offers comprehensive support services, including installation, training, and ongoing maintenance.

Pantheon Lab, a Hong Kong-based startup that specializes in creating AI-driven digital humans, has completed a seed round of funding, with New World Development's open innovation platform, Eureka Nova, among its investors, announced on 21 Mar 2023. This is the first time the company has received funding from a property developer. The two companies have also signed an agreement to explore the use of Generative Pre-training (GPT) technology to create AI digital humans for various projects, assisting the property developer in expanding its PropTech development.

Pantheon Lab will use the funds to expand its scale, boost technology research and product development, and strengthen business applications. Under the partnership agreement, Pantheon Lab will explore the use of bespoke AI digital humans for commercial applications based on the project nature and business needs of New World Development. The company's CEO and co-founder, Ivan Lau, said the team would explore the use of AI digital humans in various New World projects to assist PropTech development in different areas, improve service quality and efficiency, and contribute to sustainable development initiatives.

The funding will enable Pantheon Lab to advance its technology research and development, allowing AI digital humans to be better applied to the commercial level. It also provides New World Development with the technology to accelerate its PropTech development in the areas of applying AI digital human in property management and customer services.

Blockchain technology has the potential to revolutionize the real estate industry by streamlining transactions, reducing fraud, and increasing transparency. In Hong Kong, several startups and established companies are leveraging blockchain to offer innovative solutions that address some of the inefficiencies in the property market.

The Current State of Blockchain and PropTech in Hong Kong

Hong Kong's real estate industry is one of the most dynamic and vibrant in the world. With its high population density and limited land supply, the city faces unique challenges in managing its properties. However, blockchain technology offers a promising solution to these challenges by improving security, transparency, and efficiency in property transactions.

Several PropTech startups in Hong Kong are already leveraging blockchain technology to offer innovative solutions. For example, Qupital, a fintech startup, uses blockchain to enable investors to purchase invoices from small and medium-sized enterprises (SMEs) and receive payment in cryptocurrency. Another startup, Maicoin, allows users to purchase properties in Taiwan using cryptocurrency and blockchain technology.

In addition to startups, established companies in Hong Kong are also exploring the potential of blockchain in the property market. For instance, Midland Realty, one of Hong Kong's largest real estate agencies, has partnered with a blockchain startup to develop a platform that enables property transactions to be conducted entirely online, from property search to contract signing.

The Benefits of Blockchain in PropTech

Blockchain technology offers several benefits to the real estate industry in Hong Kong. One of the most significant benefits is increased transparency in property transactions. Blockchain allows for a secure, tamper-proof ledger of all transactions, making it more difficult for fraud to occur. Additionally, blockchain can reduce the time and costs associated with property transactions, as it eliminates the need for intermediaries such as lawyers and banks.

Another benefit of blockchain in PropTech is increased efficiency. Blockchain can automate several aspects of property transactions, such as title transfers and payment processing. This reduces the time and costs associated with these tasks, allowing for faster and smoother transactions.

The Future of Blockchain and PropTech in Hong Kong

The future of blockchain in PropTech in Hong Kong looks promising. The government has already expressed its support for blockchain technology and its potential to transform the real estate industry. The Hong Kong Monetary Authority has also launched a blockchain-based trade finance platform to support Hong Kong's SMEs.

As blockchain technology continues to evolve, it is likely that more PropTech startups and established companies in Hong Kong will adopt it to offer innovative solutions. With its high population density and limited land supply, Hong Kong is an ideal testing ground for blockchain in PropTech, and the city is well-positioned to lead the way in blockchain adoption for property transactions.

Conclusion

Blockchain technology has the potential to revolutionize the real estate industry in Hong Kong. With its ability to increase transparency, reduce fraud, and improve efficiency, blockchain is a promising solution to some of the challenges facing the property market in the city. With the government's support and the growing adoption of blockchain by PropTech startups and established companies in Hong Kong, the future of blockchain and PropTech in the city looks bright.

The PropTech industry in Hong Kong has seen a surge of innovation and creativity in recent years, with startups leading the way in developing new and innovative solutions to address the challenges facing the real estate industry. Here are five innovative PropTech startups in Hong Kong to watch:

1. Spacious - Spacious is a real estate platform that uses data-driven insights to help users find their ideal property. The platform uses machine learning algorithms to analyze property listings and match them with users' preferences and requirements, making it easier to find the perfect home.
2. Loftey - Loftey is a rental platform that uses AI to help users find affordable housing in Hong Kong. The platform uses algorithms to analyze the rental market and identify properties that are below market rate, helping renters save money and find a place to live.
3. Hubble - Hubble is a coworking platform that connects freelancers and startups with affordable office space in Hong Kong. The platform uses AI to match users with office space that meets their needs and budget, helping them find a workspace that's perfect for their business.
4. Homewise - Homewise is a property management platform that uses blockchain technology to streamline property transactions and make them more secure. The platform offers a range of services, from property valuation to title transfer, all of which are designed to make the property transaction process more efficient and transparent.
5. Qupital - Qupital is a trade finance platform that uses blockchain technology to help SMEs get financing for their businesses. The platform offers a range of services, including invoice financing and supply chain financing, and uses blockchain to secure transactions and reduce the risk of fraud.

These five innovative PropTech startups in Hong Kong are just a few examples of the exciting developments happening in the real estate industry. As the industry continues to evolve, it's likely that we'll see even more startups emerging to address the challenges facing the market.

The real estate industry in Hong Kong has been undergoing a transformation over the last few years, thanks to the rise of PropTech. PropTech, which stands for property technology, refers to the use of technology to innovate and improve the way we buy, sell, rent, and manage property. In Hong Kong, PropTech has become increasingly popular, with startups and established companies alike developing new solutions to address the challenges facing the industry.

Here are some of the top PropTech trends to watch in Hong Kong:

1. Virtual and Augmented Reality (VR/AR) - VR and AR technologies are increasingly being used in the real estate industry to create immersive property viewing experiences for buyers and renters. In Hong Kong, where space is at a premium and physical viewings can be time-consuming and costly, VR and AR offer a convenient and cost-effective alternative.
2. Blockchain - Blockchain technology is being used to streamline property transactions and reduce fraud in the real estate industry. In Hong Kong, where property prices are high and the process of buying and selling property can be complex, blockchain offers a secure and transparent way to manage transactions.
3. Big Data - Big data analytics is being used to help real estate agents and property managers make more informed decisions. In Hong Kong, where property prices can fluctuate rapidly and market trends can be difficult to predict, big data can help identify patterns and make predictions about future trends.
4. Artificial Intelligence (AI) - AI is being used to automate and streamline a range of tasks in the real estate industry, from property valuations to property management. In Hong Kong, where the property market is highly competitive and time is of the essence, AI can help save time and improve efficiency.
5. Smart Homes - Smart home technology, which refers to the use of connected devices to control and automate home appliances and systems, is becoming increasingly popular in Hong Kong. Smart homes offer a range of benefits, from increased energy efficiency to improved security and convenience.

These are just a few of the top PropTech trends to watch in Hong Kong. As the real estate industry continues to evolve, it's likely that we'll see even more innovative solutions emerging to address the challenges facing the market.