The Malaysia Real Estate Market Report is Segmented by Business Model (Sales and Rental), by Property Type (Residential and Commercial), by End-User (Individuals/Households, Corporates & SMEs and Others), and by Key Cities (Kuala Lumpur, Penang, Johor Bahru, Petaling Jaya and the Rest of Malaysia). The Market Forecasts are Provided in Terms of Value (USD).

The value per residential real estate in the real estate market in Malaysia was modeled to stand at ****** U.S. dollars in 2024. Between 2017 and 2024, the value per residential real estate rose by ***** U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The value per residential real estate will steadily rise by ****** U.S. dollars over the period from 2024 to 2029, reflecting a clear upward trend.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on Real Estate.

The Malaysia Residential Real Estate Market Report is Segmented by Business Model (Sales and Rental), by Property Type (Apartments & Condominiums and Villas & Landed Houses), by Price Band (Affordable, Mid-Market and Luxury), by Mode of Sale (Primary (New-Build) and Secondary (Existing-Home Resale)), and by Key Cities (Kuala Lumpur, Penang, and More). The Market Forecasts are Provided in Terms of Value (USD).

This dataset contains 2,000 entries of house price data from all states in Malaysia, providing a comprehensive overview of the country’s real estate market for 2025. Sourced from Brickz, a trusted platform for property transaction insights, it includes detailed information such as property location, tenure, type, median prices, and transaction counts. This dataset is ideal for real estate market analysis, predictive modeling, and exploring trends across Malaysia’s diverse property market.

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Data Columns (Total 8 Columns):

1. Township: The specific township where the property is located (e.g., Cheras, Subang Jaya).
2. Area: The locality or broader area encompassing the township (e.g., Klang Valley, Penang Island).
3. State: The Malaysian state where the property is situated (e.g., Selangor, Johor, Penang).
4. Tenure: The property ownership type (e.g., Freehold, Leasehold).
5. Type: The category of property (e.g., Terrace, Condominium, Semi-Detached).
6. Median_Price: The median price (in MYR) for properties in the specified township or area.
7. Median_PSF: The median price per square foot (in MYR) for properties.
8. Transactions: The number of recorded property transactions.

Future Plans:

• Expanded Coverage: This dataset will be regularly updated with additional property data to make it even more versatile.
• Enhanced Features: Future updates may include rental prices, amenities, or property-specific details to offer deeper insights into Malaysia’s housing market.

Forecast: Real Estate Industry Contribution to GDP in Malaysia 2022 - 2026 Discover more data with ReportLinker!

The Malaysia Commercial Real Estate Market Report is Segmented by Property Type (Offices, Retail, Logistics and Others), by Business Model (Sales and Rental), by End-User (Individuals/Households, Corporates & SMEs and Others), and by Geography (Kuala Lumpur, Klang, Petaling Jaya, Johor Bahru, Penang and the Rest of Malaysia). The Market Forecasts are Provided in Terms of Value (USD).

In 2024, the gross domestic product (GDP) from real estate in Malaysia amounted to approximately **** billion Malaysian ringgit. This was an increase of more than *** billion Malaysian ringgit from the previous year. The GDP from real estate in the country suffered a decrease in 2020 and 2021, likely caused by the COVID-19 pandemic.

The size of the Malaysia Commercial Real Estate Industry market was valued at USD 8.88 Million in 2023 and is projected to reach USD 14.88 Million by 2032, with an expected CAGR of 7.65% during the forecast period. Recent developments include: July 2023: Skyworld Development Bhd plans to launch new commercial projects in Kuala Lumpur with total estimated gross development values exceeding RM 1 Billion in the current financial year ending March 31, 2024. Skyworld will explore new growth opportunities by expanding its presence from Kuala Lumpur to the state of Selangor., January 2023: Gamuda Bhd’s unit is acquiring eight parcels of freehold lands in Rawang, collectively spanning 532 acres for RM360 million. Gamuda Land (Botanic) Sdn Bhd purchased these lands from Kundang Properties Sdn Bhd for a mixed development with a gross development value of RM3.3 billion over ten years. The group said these new lands are targeted for a 2026 launch and will contribute to the group’s earnings over the following six years as Gamuda Land continues to focus on high-value opportunities both in Malaysia and overseas, where it has established its presence, namely Vietnam, Australia, Singapore and the UK.. Key drivers for this market are: Growth trajectory with a steady pipeline of distribution and warehouse projects, Increasing investment in Greater Kuala Lumpur for Office Space. Potential restraints include: Rising commodity prices. Notable trends are: Rise in growth in retail sector.

Discover the booming Malaysian residential property market! With a projected CAGR of 5.90% and a 2025 value of RM 22.41 billion, this in-depth analysis explores market drivers, trends, restraints, and key players. Learn about investment opportunities and future growth projections in this dynamic sector. Key drivers for this market are: 4., Increasing Residential Real Estate Demand by Young People4.; Increase in Average Housing Price in Mexico. Potential restraints include: 4., Lack of Affordable Housing Inhibiting the Growth of the Market4.; Economic Instability Affecting the Growth of the Market. Notable trends are: Increase in Urbanization Boosting Demand for Residential Real Estate.

Malaysia Real Estate Software Market size was valued at USD 359.14 Million in 2024 and is projected to reach USD 533.04 Million by 2031, growing at a CAGR of 5.06% during the forecast period 2024-2031.

Malaysia Real Estate Software Market Drivers

Digital Transformation in Real Estate: The increasing adoption of digital technologies and solutions by real estate companies to streamline operations, improve efficiency, and enhance customer experiences drives demand for real estate software.

Rising Urbanization and Development: Rapid urbanization and development projects in Malaysia lead to increased construction activities. Real estate software helps manage these projects more effectively, from planning to sales and management.

Demand for Enhanced Property Management: Growing complexity in property management, including handling multiple properties, tenant management, and maintenance, drives the adoption of specialized software solutions to simplify these tasks.

Growing Real Estate Investments: Increased investments in the Malaysian real estate sector, both from domestic and international investors, necessitate advanced software solutions for better investment management, property analysis, and market forecasting.

Government Initiatives and Smart Cities: Government initiatives promoting smart city projects and the development of digital infrastructure boost the adoption of real estate software that supports smart property management and urban planning.

Increased Focus on Data Analytics: Real estate companies are increasingly relying on data analytics to make informed decisions. Real estate software with advanced data analytics capabilities helps in market analysis, property valuation, and trend forecasting.

Rise of PropTech Startups: The emergence of PropTech startups in Malaysia offers innovative real estate software solutions, driving competition and innovation in the market. These startups often provide niche solutions that cater to specific needs of the real estate sector.

Cloud-Based Solutions: The shift towards cloud-based real estate software solutions provides greater flexibility, scalability, and cost-effectiveness. This trend is particularly appealing to small and medium-sized real estate enterprises.

Enhanced Customer Experience: Real estate software that improves customer experience through features like virtual property tours, online booking, and customer relationship management (CRM) tools is increasingly in demand.

Integration with Other Technologies: Integration of real estate software with other technologies such as IoT (Internet of Things), AI (Artificial Intelligence), and blockchain enhances functionality, security, and transparency in real estate transactions and management.

Real estate dataset contains property for sale/invest in Malaysia. Dataset in csv format, which contains 7 variables: Location, list price, unit price, number of bedroom, number of bathroom, size (in square meter) and type.

Malaysia Commercial Real Estate Market size was valued at USD 8.88 Billion in 2023 and is projected to reach USD 12.83 Billion by 2031, growing at a CAGR of 7.65% from 2024 to 2031.

Malaysia Commercial Real Estate Market Dynamics

The key market dynamics that are shaping the Malaysia Commercial Real Estate Market include:

Key Market Drivers Economic Growth and Urbanization: Malaysia's commercial real estate industry is heavily influenced by the country's consistent economic expansion and growing urbanization. The trend toward urban life and growth in places such as Kuala Lumpur, Penang, and Johor Bahru has raised demand for commercial buildings, particularly mixed-use developments that incorporate office, retail, and residential areas.

In 2023, the revenue of the real estate services in Malaysia reached approximately ** billion Malaysian ringgit, an increase compared to the previous year. Real estate services covers the activities of real estate developers and real estate agents.

Malaysia Real Estate Software Market is expected to grow during 2025-2031

Discover the booming Malaysian residential property market! Our in-depth analysis reveals a $22.41B market with a 5.90% CAGR, driven by urbanization and strong demand in Kuala Lumpur, Johor Bahru, and other key cities. Explore market trends, key players (SP Setia, IOI Properties, etc.), and future growth projections until 2033. Recent developments include: December 2022: The south-east Asian real estate technology company, The PropertyGuru Group, has finalized the acquisition of iProperty Malaysia. Given that two brands (PropertyGuru and iProperty) are merging, they currently have a huge duty. The acquisition enables them to concentrate on what they believe is necessary to support their clients, and they aim to provide them with even more value., April 2022: Global real estate firm Knight Frank Malaysia expands its presence in the residential property market in Malaysia with the acquisition of Property Hub Sdn Bhd.. Notable trends are: Increase in Urbanization Boosting Demand for Residential Real Estate.

The Malaysia Residential Real Estate report features an extensive regional analysis, identifying market penetration levels across major geographic areas. It highlights regional growth trends and opportunities, allowing businesses to tailor their market entry strategies and maximize growth in specific regions.

Malaysia Loans Approved: BS: Sector: Real Estate data was reported at 2,604.526 MYR mn in Aug 2018. This records an increase from the previous number of 1,453.009 MYR mn for Jul 2018. Malaysia Loans Approved: BS: Sector: Real Estate data is updated monthly, averaging 1,896.331 MYR mn from Jan 2006 (Median) to Aug 2018, with 152 observations. The data reached an all-time high of 6,211.909 MYR mn in May 2012 and a record low of 258.039 MYR mn in Feb 2006. Malaysia Loans Approved: BS: Sector: Real Estate data remains active status in CEIC and is reported by Bank Negara Malaysia. The data is categorized under Global Database’s Malaysia – Table MY.KB028: Loans: Approved: By Sector and Purpose.

Housing Index in Malaysia decreased to 224.20 Index in the fourth quarter of 2024 from 228.30 Index in the third quarter of 2024. This dataset provides - Malaysia House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Malaysia BTS: Current: Real Estate: Volume of Demand data was reported at -75.000 % in Mar 2018. This records a decrease from the previous number of 0.000 % for Dec 2017. Malaysia BTS: Current: Real Estate: Volume of Demand data is updated quarterly, averaging -30.000 % from Mar 2012 (Median) to Mar 2018, with 25 observations. The data reached an all-time high of 25.000 % in Jun 2017 and a record low of -75.000 % in Mar 2018. Malaysia BTS: Current: Real Estate: Volume of Demand data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Malaysia – Table MY.S007: Business Tendency Survey: Actual: By Industry.

Introduction

This Malay Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Malay -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 30 hours of dual-channel call center recordings between native Malay speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for Malay real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector: