Hotel Central Reservation System Market Overview (2022 to 2032)

[250 Pages Report] The Hotel Central Reservation System market is estimated to reach US$ 400 Million in 2022. The sales from this region are forecast to increase by 8 % CAGR, with market valuation to reach US$ 800.84 Million in 2032.

Attribute Details
The Hotel Central Reservation SystemMarket Estimated Size (2022) US$ 400 Million
The Hotel Central Reservation SystemMarket Projected Size (2032) US$ 800.84 Million
The Hotel Central Reservation SystemMarket Value-based CAGR (2022 to 2032) 8 %

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2017 to 2021 Hotel Central Reservation System Market Outlook Compared to 2022 to 2032 Forecast

The Central Reservation System is software that is related to inventory management and hotel reservation. This software helps in managing reservations and related processes more efficiently. In this world full of competition, one has to maximize its functionality and exposure to customers. Along with GDS, traveling agencies and tour agents, search engines, and OTAs, the use of CRS is on the rise as there is an increase in the use of the internet. There is a number of such CRS software, with different features for the different needs of hotel owners.

These CRS software kept evolving from time to time and multiple service providers are using CRS for the proper management of their businesses. During 2019-20, there was a decline in the number of such software users, as the tourism sector was closed because of COVID-19. But as the pandemic is almost over, there is a surge in CRS users again.

The freedom of choice is encouraging tourists to travel more, and CRS is helping them to do it seamlessly.

With the help of the internet and websites, people from all around the world are connected to each other. People around the have freedom for choosing on their own what to do with the help of these facilities. The positive factor of the internet for tourism is that people are searching for tours on their own. Many tourists can plan their big tour at their homes. They even have a choice to talk with tour agents and agencies and book a trip with them or offered them. This freedom is giving tourists confidence and ultimately encourages them to travel more.

The CRS is one big help for this self-dependent movement of tourists. Using the CRS, multiple hotel and transportation-providing companies are open for tourists. Tourists can check the websites and choose between options, according to their needs. Because of CRS, tourists are not depending upon anyone for their tickets and accommodation. Also, there are no last-minute problems at the front desk, as tourists have documents as proof, saving money and hassle for checking reservation books and records on the spot.

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CRS saves time and resources for both customers and service providers, making the booking process more efficient.

Tour operators, travel providers, and hotel owners are using CRS as it makes their work really easy. The CRS gathers all the required data of the guests, including their booking time and arrival time, what they have specified for accommodation, and the type of transportation they are preferring. As the endpoint services have all this information, they can plan everything up and ensure the tour goes smoothly. As there is data saved in the system, service providers can refer to earlier data and offer similar services to tourists.

The data saved on the system is in one place and always ready for utilization. There is accuracy in such systems, making minimum mistakes in bookings, giving tourists a seamless and hassle-free tour they can enjoy without worrying about tickets and accommodation.

Country Insight

Regional Organisations are using CRS for efficient booking processes.

Hotel and resort chains in India are using Central Reservation Systems to tackle booking problems.

Leigia solutions are providing a Central Reservation System to hotel owners in Goa. This system is helpful for managers to keep track of new reservations and bookings in resorts during rush hours. The hotel staff cannot handle the reservation data from OTA and third parties. This leads to problems and conflicts and issues regarding service. The use of a CRS system facilitates the immediate organization of guest reservations and bookings, enabling personnel to deliver essential services quickly and without interruption.

The Verda group of Hotels is one of many users of CRS by Leigia Solutions. There is a number of hotels and resorts under this name, located in Goa, Jharkhand, and Karnataka.

Hotels around the globe are relying on Central Reservation Systems to attract guests with a seamless booking experience.

Controlling reservations at popular tourist destinations is made easier by reservation systems.

Many hotels from famous tourist countries are using CRS systems for simplifying the booking of hotel rooms and resort reservations. Some guests want modifications in their stays or have unique requirements than other customers. If there are reservations with requirements specified with them, hotel managers can issue orders to get requirements done before guests’ arrival.

Many popular hotels from tourist destinations like the Philippines, France, Sweden, Romania, and America are using these CRS systems. eZee Absolutes, Cendyn, and GuestCentric are some of the commonly used central reservation systems, that work along with OTA and third-party software for hotel bookings. These providers also help in marketing and management to customers around the globe.

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Category-wise Insights

Which is the most preferred Central Reservation System Type?

Cloud-based reservations systems are connecting hotels and customers can book hotels without actually visiting Hotels.

The CRS software is provided in many forms. Some can be used on computers without internet connectivity and some require connectivity. Online and cloud-based CRS work along with OTA’s and third-party booking websites and applications, collecting information from them and updating the inventory in hotels. This online CRS helps access customers via multiple channels. They are also accurate and prevent mistakes like double bookings. As the cloud-based reservation is working in real-time, they keep track of guest reservations and last-minute cancellations, preventing further problems.

Who Uses the Central Reservation Systems commonly?

Big Enterprises with chains and franchises of hotels and resorts use CRS for maintaining reservations and Inventories.

The Hotel Reservation systems are paid services and software. These are provided to anyone who is working in the Hospitality sector. Mainly CRS is used by big enterprises, with multiple hotels in the same or different regions. These systems help in keeping the bookings under control and make handling multiple hotels at the same time possible. The owners can keep track of requirements and take necessary actions accordingly.

Competitive Landscape

Hotel Central Reservation Systems are essential tools for getting attraction tourists traveling around the globe. The CRS help in getting bookings from websites, mobile applications, and OTAs.

Around the world, there are numerous service providers who offer a wide range of services and tailored reservation methods that cater to their client's requirements. Numerous companies create and offer CRS services with the understanding that every hotel has unique requirements, traits, and budgets.

For instance:

  • The Cendyn is a cloud-based reservation system with a number of management tools inbuilt. The application interface is easy and robust, making it flexible according to the use of management. The platform used for this system is serverless and cloud-based, giving users lag-free and the fastest interaction while using the system. This system is available globally and connected through a number of channels.

Scope of Report

Attribute Details
Forecast Period 2022 to 2032
Historical Data Available for 2017 to 2021
Market Analysis US$ Million for Value
Key Region Covered North America, Latin America, Europe, East Asia, South Asia, Oceania & MEA
Key Countries Covered The united state, Canada, South Africa, Northern Africa, GCC Countries, China, Japan, South Korea, India, Thailand, Malaysia, Indonesia, Australia & New Zealand, Brazil, Mexico, Germany, UK, France, Spain, Italy, and Russia.
Key Segments Covered Tourism Type, Booking Channel, Tourist Type, Tour Type
Key Companies Profiled
  • OPERA Property Management System
  • eZee Front desk
  • Room Master
  • Hotelogix PMS
  • MSI CloudPM
  • Rezlynx PMS
  • CenDyn
  • Vertical booking
  • Amadeus
  • eRevMax
  • SHR
  • GuestCentric
  • Others
Report Coverage Market Forecast, Company Share Analysis, Competition Intelligence, Drivers, Restraints, Opportunities and Threats Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives
Customization & Pricing Available upon Request

Hotel Central Reservation System by Category

By Operation Type (% of Demand):

  • Offline
  • Cloud-Based

By Booking Channel (% of Demand):

  • Phone Booking
  • Online Booking
  • In Person Booking

By Sales Type (% of Demand):

  • Direct Sales
  • Distribution Sales

By User (% of Demand):

  • Big Enterprises
  • Small Enterprises
  • Individuals

Frequently Asked Questions

What is the current Hotel Central Reservation System market value?

The Hotel Central Reservation System market is expected to reach a valuation of US$ 400.06 Billion in 2022.

What are the key trends driving the Hotel Central Reservation System market?

There are number of VRS software developers and providers, which are giving options in the system tools, which are modified as per the requirements of the customer. Usually the central reservation systems are online and connected to various websites and mobile booking application servers, getting the booking data directly through these gateways and updating the information on the device used by hotels.

Who are the leading players in the Hotel Central Reservation System market?

Leading players developing and providing central Reservation softwares are OPERA Property Management System, eZee Front desk, Room Master, Hotelogix PMS, MSI CloudPM, Rezlynx PMS, Cendyn, Vertical Booking, AMADEUS, eRevMax, SHR, GuestCentric and among others.

Table of Content

1. Executive Summary | Hotel Central Reservation Systems

    1.1. Global Market Outlook

        1.1.1. Who Is Travelling?

        1.1.2. How Much Do They Spend?

        1.1.3. Direct Contribution of Tourism To GDP

        1.1.4. Direct Contribution of Tourism To Employment

    1.2. Tourism Evolution Analysis

    1.3. FMI Analysis and Recommendations

2. Market Introduction

    2.1. Total Spending (US$ Million) and Forecast (2022 to 2032)

    2.2. Number of Tourists (Million) and Forecast (2022 to 2032)

    2.3. Total Spending Y-o-Y Growth Projections (2022 to 2032)

    2.4. Number of based Tourists Y-o-Y Growth Projections

3. Global Tourism Industry Analysis

    3.1. Tourism Industry Overview

        3.1.1. Travel & Tourism Industry Contribution To Global GDP

            3.1.1.1. Business Spending v/s Leisure Spending

            3.1.1.2. Domestic v/s Foreign

            3.1.1.3. Direct, Indirect, and Induced

        3.1.2. Travel Sector Contribution To Global Overall Employment

        3.1.3. Travel & Tourism Growth Rate

        3.1.4. Foreign Visitor Exports As Percentage of Total Exports

        3.1.5. Capital Investment In Travel & Tourism Industry

        3.1.6. Different Components of Travel & Tourism

        3.1.7. Global Tourism Industry Outlook

            3.1.7.1. Cultural Tourism

            3.1.7.2. Culinary Tourism

            3.1.7.3. Eco/Sustainable Tourism

            3.1.7.4. Sports Tourism

            3.1.7.5. Spiritual Tourism

            3.1.7.6. Wellness Tourism

            3.1.7.7. Others

4. Global Market Dynamics

    4.1. Market Drivers & Opportunities

        4.1.1. Central Reservation Systems Are Connecting Hotels to Guests, Giving Them Freedom of Choice.

        4.1.2. Quick and Hassle-Free Bookings Via CRS Are Making Tiring Work Efficient.

        4.1.3. Big Enterprises Are Using CRS to Connect with Tourists All Around the World.

        4.1.4. CRS Providers Are Attracting Hospitality Industry Players, By Providing Best-in-Class Services.

5. Market Background

    5.1. Top 10 Market Companies

    5.2. Macro-Economic Factors

        5.2.1. Global GDP Growth Outlook

        5.2.2. Global Industry Value Added

        5.2.3. Global Consumer Spending Outlook

        5.2.4. Global Direct contribution of Travel & Tourism to GDP

        5.2.5. Global Visitor Exports and International Tourist Arrivals

        5.2.6. Capital Investment In Travel & Tourism

        5.2.7. Top Tourism Spending Countries

    5.3. Forecast Factors - Relevance & Impact

6. Categorizing of Global Sector 2021

    6.1. Introduction/ Key Findings

    6.2. Current Market Analysis By Operation Type (% of Demand)

        6.2.1. Offline

        6.2.2. Cloud Based

    6.3. Current Market Analysis By Booking Channel (% of Demand)

        6.3.1. Phone Booking

        6.3.2. Online Booking

        6.3.3. In-Person Booking

    6.4. Current Market Analysis By Sales Type (% of Demand)

        6.4.1. Direct Sales

        6.4.2. Distribution Sales

    6.5. Current Market Analysis By User (% of Demand)

        6.5.1. Big Enterprises

        6.5.2. Small Enterprises

        6.5.3. Individuals

    6.6. Current Market Analysis By Region (% of Demand)

        6.6.1. North America

        6.6.2. Latin America

        6.6.3. Europe

        6.6.4. East Asia

        6.6.5. South Asia

        6.6.6. Oceania

        6.6.7. Middle East and Africa (MEA)

    6.7. Key Findings, By Each Category

7. Categorizing of North America Sector 2021

    7.1. Introduction/ Key Findings

    7.2. Current Market Analysis By Operation Type (% of Demand)

        7.2.1. Offline

        7.2.2. Cloud Based

    7.3. Current Market Analysis By Booking Channel (% of Demand)

        7.3.1. Phone Booking

        7.3.2. Online Booking

        7.3.3. In-Person Booking

    7.4. Current Market Analysis By Sales Type (% of Demand)

        7.4.1. Direct Sales

        7.4.2. Distribution Sales

    7.5. Current Market Analysis By User (% of Demand)

        7.5.1. Big Enterprises

        7.5.2. Small Enterprises

        7.5.3. Individuals

    7.6. Current Market Analysis By Country (% of Demand)

        7.6.1. US

        7.6.2. Canada

    7.7. Key Findings, By Each Category

8. Categorizing of Latin America Sector 2021

    8.1. Introduction/ Key Findings

    8.2. Current Market Analysis By Operation Type (% of Demand)

        8.2.1. Offline

        8.2.2. Cloud Based

    8.3. Current Market Analysis By Booking Channel (% of Demand)

        8.3.1. Phone Booking

        8.3.2. Online Booking

        8.3.3. In-Person Booking

    8.4. Current Market Analysis By Sales Type (% of Demand)

        8.4.1. Direct Sales

        8.4.2. Distribution Sales

    8.5. Current Market Analysis By User (% of Demand)

        8.5.1. Big Enterprises

        8.5.2. Small Enterprises

        8.5.3. Individuals

    8.6. Current Market Analysis By Country (% of Demand)

        8.6.1. Brazil

        8.6.2. Mexico

        8.6.3. Argentina

        8.6.4. Colombia

        8.6.5. Rest of LA

    8.7. Key Findings, By Each Category

9. Categorizing of Europe Sector 2021

    9.1. Introduction/ Key Findings

    9.2. Current Market Analysis By Operation Type (% of Demand)

        9.2.1. Offline

        9.2.2. Cloud Based

    9.3. Current Market Analysis By Booking Channel (% of Demand)

        9.3.1. Phone Booking

        9.3.2. Online Booking

        9.3.3. In-Person Booking

    9.4. Current Market Analysis By Sales Type (% of Demand)

        9.4.1. Direct Sales

        9.4.2. Distribution Sales

    9.5. Current Market Analysis By User (% of Demand)

        9.5.1. Big Enterprises

        9.5.2. Small Enterprises

        9.5.3. Individuals

    9.6. Current Market Analysis By Country (% of Demand)

        9.6.1. Germany

        9.6.2. Russia

        9.6.3. France

        9.6.4. Italy

        9.6.5. UK

        9.6.6. Rest of Europe

    9.7. Key Findings, By Each Category

10. Categorizing of East Asia Sector 2021

    10.1. Introduction/ Key Findings

    10.2. Current Market Analysis By Operation Type (% of Demand)

        10.2.1. Offline

        10.2.2. Cloud Based

    10.3. Current Market Analysis By Booking Channel (% of Demand)

        10.3.1. Phone Booking

        10.3.2. Online Booking

        10.3.3. In-Person Booking

    10.4. Current Market Analysis By Sales Type (% of Demand)

        10.4.1. Direct Sales

        10.4.2. Distribution Sales

    10.5. Current Market Analysis By User (% of Demand)

        10.5.1. Big Enterprises

        10.5.2. Small Enterprises

        10.5.3. Individuals

    10.6. Current Market Analysis By Country (% of Demand)

        10.6.1. China

        10.6.2. Japan

        10.6.3. South Korea

    10.7. Key Findings, By Each Category

11. Categorizing of South Asia Sector 2021

    11.1. Introduction/ Key Findings

    11.2. Current Market Analysis By Operation Type (% of Demand)

        11.2.1. Offline

        11.2.2. Cloud Based

    11.3. Current Market Analysis By Booking Channel (% of Demand)

        11.3.1. Phone Booking

        11.3.2. Online Booking

        11.3.3. In-Person Booking

    11.4. Current Market Analysis By Sales Type (% of Demand)

        11.4.1. Direct Sales

        11.4.2. Distribution Sales

    11.5. Current Market Analysis By User (% of Demand)

        11.5.1. Big Enterprises

        11.5.2. Small Enterprises

        11.5.3. Individuals

    11.6. Current Market Analysis By Country (% of Demand)

        11.6.1. India

        11.6.2. Malaysia

        11.6.3. Indonesia

        11.6.4. Thailand

        11.6.5. Philippines

        11.6.6. Cambodia

        11.6.7. Vietnam

        11.6.8. Rest of SA

    11.7. Key Findings, By Each Category

12. Categorizing of Oceania Sector 2021

    12.1. Introduction/ Key Findings

    12.2. Current Market Analysis By Operation Type (% of Demand)

        12.2.1. Offline

        12.2.2. Cloud Based

    12.3. Current Market Analysis By Booking Channel (% of Demand)

        12.3.1. Phone Booking

        12.3.2. Online Booking

        12.3.3. In-Person Booking

    12.4. Current Market Analysis By Sales Type (% of Demand)

        12.4.1. Direct Sales

        12.4.2. Distribution Sales

    12.5. Current Market Analysis By User (% of Demand)

        12.5.1. Big Enterprises

        12.5.2. Small Enterprises

        12.5.3. Individuals

    12.6. Current Market Analysis By Country (% of Demand)

        12.6.1. Australia

        12.6.2. New Zealand

    12.7. Key Findings, By Each Category

13. Categorizing of Middle East and Africa Sector 2021

    13.1. Introduction/ Key Findings

    13.2. Current Market Analysis By Operation Type (% of Demand)

        13.2.1. Offline

        13.2.2. Cloud Based

    13.3. Current Market Analysis By Booking Channel (% of Demand)

        13.3.1. Phone Booking

        13.3.2. Online Booking

        13.3.3. In-Person Booking

    13.4. Current Market Analysis By Sales Type (% of Demand)

        13.4.1. Direct Sales

        13.4.2. Distribution Sales

    13.5. Current Market Analysis By User (% of Demand)

        13.5.1. Big Enterprises

        13.5.2. Small Enterprises

        13.5.3. Individuals

    13.6. Current Market Analysis By Country (% of Demand)

        13.6.1. Turkey

        13.6.2. South Africa

        13.6.3. UAE

        13.6.4. Egypt

        13.6.5. Jordan

        13.6.6. Rest of MEA

    13.7. Key Findings, By Each Category

14. Competition Analysis

    14.1. Competition Dashboard

    14.2. Competition Benchmarking

    14.3. Competition Deep Dive

        14.3.1. OPERA Property Management System

            14.3.1.1. Overview

            14.3.1.2. Service Portfolio

            14.3.1.3. Strategy Overview/campaigns

        14.3.2. eZee Front Desk

            14.3.2.1. Overview

            14.3.2.2. Service Portfolio

            14.3.2.3. Strategy Overview/campaigns

        14.3.3. Room Master

            14.3.3.1. Overview

            14.3.3.2. Service Portfolio

            14.3.3.3. Strategy Overview/campaigns

        14.3.4. Hotelogix PMS

            14.3.4.1. Overview

            14.3.4.2. Service Portfolio

            14.3.4.3. Strategy Overview/campaigns

        14.3.5. MSI CloudPM

            14.3.5.1. Overview

            14.3.5.2. Service Portfolio

            14.3.5.3. Strategy Overview/campaigns

        14.3.6. Rezlynx PMS

            14.3.6.1. Overview

            14.3.6.2. Service Portfolio

            14.3.6.3. Strategy Overview/campaigns

        14.3.7. CenDyn

            14.3.7.1. Overview

            14.3.7.2. Service Portfolio

            14.3.7.3. Strategy Overview/campaigns

        14.3.8. Vertical Booking

            14.3.8.1. Overview

            14.3.8.2. Service Portfolio

            14.3.8.3. Strategy Overview/campaigns

        14.3.9. Amadeus

            14.3.9.1. Overview

            14.3.9.2. Service Portfolio

            14.3.9.3. Strategy Overview/campaigns

        14.3.10. eRevMax

            14.3.10.1. Overview

            14.3.10.2. Service Portfolio

            14.3.10.3. Strategy Overview/campaigns

        14.3.11. SHR

            14.3.11.1. Overview

            14.3.11.2. Service Portfolio

            14.3.11.3. Strategy Overview/campaigns

        14.3.12. GuestCentric

            14.3.12.1. Overview

            14.3.12.2. Service Portfolio

            14.3.12.3. Strategy Overview/campaigns

        14.3.13. Others (As Per Request)

15. Social Media Sentimental Analysis

    15.1. Social Media Platforms Preferred

        15.1.1. Facebook

        15.1.2. YouTube

        15.1.3. Instagram

        15.1.4. Twitter

        15.1.5. LinkedIn

        15.1.6. Pinterest

        15.1.7. Google+

        15.1.8. Others

    15.2. Perceptions on the Proposed Sector

    15.3. Consumer Perception for Destinations On Social Media Platforms-Positive and Negative Mentions

    15.4. Trending #Hashtags

    15.5. Social Media Platform Mentions (% of Total Mentions)

    15.6. Region-Wise Social Media Mentions (% of Total Mentions)

    15.7. Trending Subject Titles

16. Assumptions and Acronyms Used

17. Research Methodology

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