How many Serviced accommodations are in Thailand?
There are 3,588 Serviced accommodations in 77 states and territories of the Thailand. The highest number of Serviced accommodations of Thailand are in Bangkok and Chiang Mai with 310 businesses and 294 businesses, respectively. Bangkok makes up approximately 8.6% of all Serviced accommodations in the Thailand.
Data last updated: July, 2025
Total Businesses
3,588
With Phone
3,032
With Website
1,076
With Hours
0
How can I download a list of Serviced accommodations in Thailand into Excel?
You can download the complete list of 3,588 Serviced accommodations data as an Excel file, along with geo-coded addresses, phone numbers and open hours by contacting our sales team.
Sample Data
Preview of Serviced accommodation businesses in Thailand
Business Name | City | Rating | Reviews | Phone | Website |
---|---|---|---|---|---|
Oakwood Hotel & Residence Sri Racha
|
Chonburi
|
★
4.0
|
2,080
|
*3* 3*7 *9* | discoverasr.com |
Legendha Sukhothai Historical Park Resor...
|
Sukhothai
|
★
4.0
|
1,253
|
*5* 6*7 *1* | legendhasukhothai.co... |
Prana Resort Nandana
|
Ko Samui District
|
★
4.0
|
1,044
|
*7* 2*6 *6* | pranaresortsamui.com |
Akira Lipe Resort
|
เมือง
|
★
4.0
|
1,041
|
*9* 3*1 *0*0 | akiralipe.com |
Citadines Sukhumvit 8 Bangkok
|
Khlong Toei
|
★
4.0
|
934
|
*2 *5* 2*7* | discoverasr.com |
Siam Oriental Hotel Hatyai
|
Hat Yai District
|
★
4.0
|
850
|
*7* 3*0 *2* | facebook.com |
Cape House Hotel
|
Pathum Wan
|
★
4.0
|
786
|
*2 *5* 7*4* | capehouse.com |
Centre Point Serviced Apartment Thong Lo
|
Watthana
|
★
4.0
|
722
|
*2 *6* 8*0* | centrepoint.com |
Magic Mountains Cafe
|
Pong District
|
★
4.0
|
654
|
*9* 4*4 *9*1 | m.facebook.com |
Patong Bay Residence
|
Kathu District
|
★
4.0
|
653
|
*7* 3*6 *7* | patongbayresidence.c... |
Get access to all 3,578 remaining Serviced accommodations with complete contact information, addresses, and business details.
Get Complete Dataset (3,588 Businesses)Top States
Highest concentration of Serviced accommodations
State | Business Count | Percentage |
---|---|---|
Bangkok |
310
|
8.6%
|
Chiang Mai |
294
|
8.2%
|
Chon Buri |
276
|
7.7%
|
Nakhon Ratchasima |
155
|
4.3%
|
Phuket |
134
|
3.7%
|
Surat Thani |
114
|
3.2%
|
Phetchabun |
93
|
2.6%
|
Chiang Rai |
93
|
2.6%
|
Rayong |
89
|
2.5%
|
Nan |
86
|
2.4%
|
Top Cities
Cities with most Serviced accommodations
City | Business Count | Percentage |
---|---|---|
Bang Lamung District
|
104
|
2.9%
|
Mueang Chiang Mai District
|
60
|
1.7%
|
Pak Chong District
|
58
|
1.6%
|
Si Racha District
|
54
|
1.5%
|
Khao Kho District
|
49
|
1.4%
|
Ko Samui District
|
47
|
1.3%
|
Sattahip District
|
45
|
1.3%
|
Cha-am District
|
37
|
1%
|
Mueang Phuket District
|
37
|
1%
|
Thalang District
|
37
|
1%
|
What Data Do We Provide?
Our dataset for Serviced accommodations in Thailand is one of the most comprehensive in the industry. As of August, 2025, we have compiled data on 3,588 verified listings.
Essential Business Details
Complete business name, full address, and operational hours for all 3,588 Serviced accommodations
Contact Information
Direct phone numbers, email addresses, and website URLs for Serviced accommodations across Thailand
Customer Engagement Metrics
Average ratings, total review counts, and customer feedback data from Serviced accommodations in Thailand
Precise Geolocation Data
Exact latitude/longitude coordinates and regional distribution across 10 states in Thailand
Complete Data Fields for Serviced accommodations in Thailand:
Each of the 3,588 Serviced accommodations records includes:
Business Attributes
Common features and services (10+ businesses)
payment methods
services
amenities
accessibility
business type
other
How You Can Use Serviced accommodations Data from Thailand
Our comprehensive dataset of 3,588 Serviced accommodations in Thailand empowers you to reach the right audience through multiple channels. Here are key ways this data can give you a competitive edge in the Serviced accommodations industry.
Market Research & Competitive Analysis
Analyze trends, saturation, and competitor presence across 10 states in Thailand to uncover underserved areas and high-potential markets for Serviced accommodations.
Lead Generation & Sales Prospecting
Find and reach Serviced accommodations in Thailand using verified phone numbers, websites, and category filters for smarter, targeted prospecting.
Location Intelligence & Expansion Planning
Plan new Serviced accommodations openings or rollouts using density maps and insights from our 3,588 listings to target low-competition, high-demand zones in Thailand.
AI & NLP Model Training
Train machine learning models with structured data and real user reviews from 3,588 Serviced accommodations for improved sentiment analysis and recommendation systems.
Real Estate & Investment Insights
Evaluate commercial potential in Thailand by analyzing the distribution of Serviced accommodations across 10 cities and their activity trends.
Email Marketing Campaigns
Run targeted email campaigns to Serviced accommodations in Thailand using verified email addresses for personalized outreach and improved conversion rates.
Cold Calling & Telemarketing
Use up-to-date phone numbers from our 3,588 Serviced accommodations database to initiate effective conversations and improve call conversion rates.
Direct Mail Marketing
Send promotional materials to Serviced accommodations across Thailand using accurate mailing addresses for targeted delivery and higher response rates.
Social Media Outreach
Engage Serviced accommodations in Thailand via Instagram, LinkedIn, or Facebook using curated profile data for multi-channel marketing.
Footfall & Demand Estimation
Estimate local foot traffic and demand by analyzing the concentration of Serviced accommodations in specific regions of Thailand and their popularity metrics.
Local SEO & Digital Services
Optimize marketing strategies for Serviced accommodations by studying GMB listings, ratings, and categories used by top-performing competitors in Thailand.
Mapping & Navigation Integration
Add Serviced accommodations POI data to your apps for delivery, logistics, or travel using accurate coordinates from 3,588 verified locations in Thailand.
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