Hospitality Revenue Management & Pricing Analytics Market Size - By Component, By Platform, By Organization Size, By Deployment, By Ownership, By Application, By End Use, Growth Forecast 2025 - 2034

Hospitality Revenue Management & Pricing Analytics Market Size

The global hospitality revenue management & pricing analytics market size was valued at USD 4.1 billion in 2024. The market is expected to grow from USD 4.5 billion in 2025 to USD 13.1 billion in 2034, at a CAGR of 12.6%.

• The market for hospitality revenue management and pricing analysis continues to grow at a consistent pace due to the increasing demand for real-time pricing strategies based on data. Competition has intensified and guest behavior is rapidly evolving to the point that hotels no longer rely on standard pricing strategies and require them to adopt more dynamic pricing strategies that are driven by artificial intelligence (AI), machine learning (ML) and cloud-based revenue management systems (RMS).
   
• These types of tools help hotels forecast their demand going forward, look at their competitors’ pricing, and make pricing decisions that increase occupancy and improve RevPAR. For example, in April 2025, FLYR, the technology company that unlocks freedom to innovate for the travel industry, today announced that Ennismore, the fastest-growing lifestyle and leisure hospitality company, is working with FLYR Hospitality to continue to uplevel its commercial operations. With more than 180 hotels and 500 restaurants and bars across 17 brands, Ennismore is leveraging FLYR’s platform for revenue management, sales, distribution and marketing across its global operations.
   
• The hotels that are already collaborating with their RMS with mobile apps for guest assessment of membership and engagement in loyalty programs also benefit from the new energy management systems because they leverage an app to remind the guest about the hotel, make reservations for restaurants nearby and, in the process, maximize revenue while also providing a better experience for their guests.
   
• For instance, in February 2024, Accor entered an exclusive partnership with IDeaS to deploy advanced revenue management solutions to their 5,600+ hotels in 110+ countries. The objective of the partnership is to ultimately optimize pricing performance, increase RevPAR and improve competitive positioning through automation and dynamic data analysis, thereby reinforcing Accor's global commercial strategy.
   
• The hospitality sector has witnessed a robust recovery and expansion from the COVID-19 pandemic, including in Italy where lodging revenue increased, on average, by 27.7%, comparing 2023 to 2019. The traditional hospitality sector has been able to adapt to post-COVID-19 and new realities with additional emphasis on cleanliness, hygiene protocols, and guest safety/responsibility. Similarly, the longer trends for recovery from the pandemic that drive the sector forward are all inclusive of additional digitalization, sustainability, and the continued demand for authentic, personalized experiences from guests.
   
• North America holds the largest market share in the global hospitality revenue management & pricing analytics market due to hanging traveler behaviors, including guests taking slightly fewer trips-now down to an average of 9 trips from 10 annually, but extending their average stay to 3.43 days from 3.36 in 2023. It is indicating an increasing imperative relative to length-of-stay optimization and a responsive and dynamic pricing model to realize as much revenue as possible per guest.
   
• Similarly, in the Asia-Pacific, they are experiencing a fast movement toward localized and data-driven revenue options, for example considering the recent surge of domestic and leisure travel, where dynamic pricing tools work well for longer stays and mobile-first bookings.
   

Hospitality Revenue Management & Pricing Analytics Market Trends

• In 2024, Hospitality revenue management is impacted by the implementation of Artificial Intelligence (AI) and machine learning (ML) for dynamic pricing strategies. AI and machine learning analyze the macro and micro-level data trends that allow hotels to accurately adjust room rates using real-time data from a variety of factors such as pricing changes from competitors, events occurring nearby, weather forecasts, and shifts in demand.
   
• Similarly, rising operational costs and fluctuating occupancy rates are driving hotels to explore ancillary revenue streams to enhance overall profitability. Ancillary revenue is anything other than room accommodation, which includes leisure-based services such as the spa, food and beverage, parking, airport transfers, and early check-in/late check-out options.
   
• New revenue management systems integrate peripheral hotel offerings into their pricing frameworks, which allows hotels to market additional revenue generating items through upselling and cross-selling, specifically as they work by providing guests with personalized offers and bundled deals. The trend is further continuing its adoption by 2026.
   
• For instance, in July 2024, Guestline introduced a new AI-orgs framework in the GuestStay self-service portal, so hotels better utilize ancillary revenue opportunities. The portal allows guests to change their bookings and pre-order services, such as breakfast, parking, spa treatments, and others. And when integrated with the resDiary system up to 25% of a hotel's restaurant reservations are processed through a feature in GuestStay.
   
• The hotels are gathering data analytics and behavioral segmentation to use to personalize pricing. Instead of pricing the same rate for any guest, the systems will analyze not just loyalty status, but also booking history, with the intent to stay, stay patters and in some cases, browsing behaviors online to personalize offers and discounts.
   
• For instance, in June 2024, Duetto and SHR officially partnered to allow real-time personalized pricing, and comp offers for casino hotels-based guest loyalty information and lifetime value data. Hotel casinos with a new API integration will use the combined functionality of each platform to quickly provide offers and rates based on the hotel casino guests’ history in SHR's booking engine, increasing revenue, guest engagement and operational efficiencies.
   

Hospitality Revenue Management & Pricing Analytics Market Analysis

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• The solution segment is experiencing significant growth given the acceleration of the adoption of AI sourced pricing optimization, demand forecasting, plus automation of continuous pricing. Hotels and resorts are placing emphasis on solving revenue with dynamic real-time pricing tools, providing the means to optimize revenue regardless of wildly fluctuating demand patterns.
   
• For instance, in June 2023, a strategic partnership was initiated between IDeaS a SAS company, and berner+becker has demonstrated the industry shift towards the complete integration of finally outsourced revenue management services, particularly when the consulting firm leverages their clients' one advanced RMS platform approach to create a compelling pricing strategy.
   
• Similarly, personalized pricing algorithms, AI-based competitive benchmarking, and automated rate-changing will drive adoption. Furthermore, inflation and labor shortages are forcing hotel operators to re-evaluate costs, which pursues tech-enabled, efficient revenue management systems and adoption. This factor drives the segment growth at CAGR 11% from 2025-2034.
   

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• The dominance is attributed due to its functionality, processing capabilities, and strong user familiarity with hotel revenue managers. The desktop platforms have fully functional dashboards, multi-window formats and high visibility of data needed for complex revenue optimization activities such as forecasting, dynamic pricing, market segments and group pricing analytics.
   
• Desktop-based platforms are also the preferred systems amongst large hotel chains, and multi-properties level corporate offices with the volume and detail of data requiring a need to visualize and process detail being high. Similarly, cloud-based desktop UI options offering connection to property management systems (PMS) and a powerful feature set for revenue teams.
   
• With many hotels moving towards centralized cloud-based platforms, the demand for revenue management systems (RMS) with AI-controlled automation and desktop-based similar designs is also increasing. Revenue managers still want to retain control of their system and the ability to leverage a cloud platform.
   
• For instance, in June 2025, TakeUp's RMS will integrate with Oracle Cloud Marketplace and OPERA Cloud via OHIP, which will enable independent hotels to deploy its AI RMS on Oracle Cloud Infrastructure (OCI) while keeping similar desktop workflows to interact with the system.
   

Based on deployment mode, the hospitality revenue management & pricing analytics market is divided into cloud-based solutions, on-premises deployments, and hybrid deployments. The cloud-based segment dominated the market accounting for USD 2.4 billion in 2024. 
 

• Cloud-based systems allow hotel owners to analyze pricing configurations in real-time and enhance their revenue strategies automatically and make data-driven decisions in various locations. Cloud-based solutions are essential considering the needs of the hotelier/revenue management world, from multi-product groups to large hotel chains.
   
• Cloud systems provide better pricing flexibility to hotel executives, but they offer integration with other systems such as property management systems (PMS), central reservation systems (CRS), and channel managers, forming a connected ecosystem for hotel managers.
   
• The hospitality revenue management & pricing analytics market is rapidly embracing cloud-native revenue with seamless PMS integration and allowing the removal of infrastructure limitations in all profit centers. This is impacted particularly for channel management, wherein operators require real-time connectivity, fully automated rate distribution, and scalable cloud architecture and consistent functionality.
   
• In November 2024, STAAH's Max Channel Manager connected with the Oracle Cloud Marketplace, so hotels deploy the solution on OCI with full OPERA Cloud synchronization via OHIP. Moreover, this announcement highlights how Oracle's growing partner ecosystem is a primary driver of the next generation, API-first hospitality commerce platforms.
   

Based on end use segment, the hospitality revenue management & pricing analytics market is categorized into hotels & resorts, restaurants & food services, cruise lines & casinos, short term rentals, and extended stay & apartment hotels. The hotels & resorts segment dominated the market accounting for USD 1.8 billion in 2024.
 

• With the competitive, high volume, and aggressive space where the goal is maximizing revenue per room and occupancy, hotels & resorts dominated the hospitality revenue management & pricing analytics market. The hotels & resorts run hundreds of rooms and multiple additional revenue generating departments including the spa, event space, restaurants and concierge, requiring coordinated pricing and demand forecasting to optimize profit across all departments.
   
• Major hotel and resort brands like Marriott, Hilton, and Hyatt utilize centralized data-driven revenue management systems which allow them to keep similar rates across different regions and sales channels. They also are managing fluctuating demand over tourism seasons, corporate travel cycles, and global events while managing a dynamic price.
   
• Hotels & resorts have bigger budgets and dedicated revenue management teams which gives them more opportunities to implement and use high end technologies, such as AI price tools, cloud-based RMS, and business intelligence tools prior to smaller operators.  
   

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• The US industry developed its market leadership by embracing technological processes, advancing their market development, and having a foundational belief in analytics to ultimately support decision-making. The largest hotel chains in the U.S. have invested in advanced revenue management systems (RMS) and were early users of dynamic pricing, demand forecasting, and AI-based decision making. Hotels utilize RMS technology to set real-time pricing based on variables and parameters that include market conditions, booking behavior, occupancy rates, and competitor pricing.
   
• The hospitality revenue management & pricing analytics market is transforming based on labor shortages and inflation impacting rapid adoption of AI-powered pricing tools. Since 2020, wages of hotel employees increased 18% according to Bureau of Labor Statistics and overall property operating costs are up 23% annually, leading hotels to automated RMS tools to preserve profit levels.
   
• Canada grows moderately at a CAGR Of 13% during 2025 and 2034. Canada’s hospitality sector is prioritizing mid-tier and select-service hotels, driven by demand from domestic road-trippers and cost-conscious international travelers. With average daily rates (ADRs) rising significantly, revenue managers are adopting cloud-based RMS tools to balance occupancy and profitability.
   

Predictions suggest that from 2025-2034, the UK hospitality revenue management and pricing analytics market will grow tremendously.
 

• Europe’s hospitality revenue management & pricing analytics market is projected to grow at a CAGR of 10% from 2025 to 2034, driven by digital transformation and rising demand for dynamic pricing tools. Mid-tier economies such as Spain, Italy, and the Netherlands are catching up, leveraging cloud-based RMS to compete with larger chains.
   
• UK’s role as a global travel leader, particularly with cities like London, Edinburgh, and Manchester creates ongoing opportunities for advanced pricing solutions to make sense of changing demand across leisure, business and event-driven travel. The recovery from the pandemic has sped up the pace in which hotel groups and independent properties are deploying cloud-based revenue management systems, dynamic pricing capabilities, and AI-enhanced forecasting.
   
• With support from government to digitize and embrace sustainability within tourism, hotels are ready to rollout smarter pricing models that maximize revenue with a view to customer expectations of personalization and transparency. For instance, in November 2024, London-based hotel IT company Lighthouse became a unicorn after raising an additional USD 80 million. More than 60,000 hotels worldwide, including the UK hotel chains Radisson and IHG, have used their revenue management platform to enable real-time dynamic pricing in response to demand, market shifts, and competitive performance.
   
• Germany led in AI-powered revenue management, with significant hotels adopting predictive pricing tools by 2025. Similarly, France and Italy focus on luxury and boutique segments, integrating RMS with CRM for personalized guest experiences. Also, Spain and Belgium show the fastest growth, driven by tourism recovery and OTA competition. Sweden and the Netherlands prioritize sustainability-linked pricing, with magnificent of hotels using green rate premiums.
   

The hospitality revenue management and pricing analytics market in China will experience prosperous growth during 2025 to 2034.

• China's domestic tourism growth is driven by a rising middle class and increasing discretionary income is driving demand across the product spectrum of hotels, from budget and independent lodging to luxury hotels. This has resulted in extreme competition, forcing hotels to be smarter than ever with pricing strategies to protect profitability and hospitality revenue management & pricing analytics market share. The focus of China's digital future continues to accelerate the pace of new technologies being utilized in the hospitality industry.
   
• Government initiatives supporting "Digital China" and "Smart Tourism" activities are pushing hoteliers to use AI-based revenue management system (RMS), using automated systems to parse through large amounts of information to establish room rates and adjust in real-time. The prevalence of mobile-first channels such as Ctrip, Fliggy, Meituan gives hotels more detailed information on consumer preferences, behavior, and booking patterns, providing vital information segmentation for personalized pricing and offer profiling.
   
• In India, OTA dominance is forcing hotels to invest in direct channel optimization and loyalty-linked dynamic pricing. Similarly, in Japan labor shortages are accelerating AI adoption for fully automated revenue management. Also, the surge in “workation” demand is driving leisure-focused pricing models, with extended-stay premiums up in Australia.
   
• The tech adapted throughout the APAC hospitality revenue management & pricing analytics market is sporadic, with luxury chains in Singapore using Oracle OPERA Cloud and independent hotels in Bali using their local RMS providers. The metaverse hotel experiences in South Korea are a new level of price tiering for guests. A critical RMS feature in India is their GST billing compliance, billing integration is key a factor.
   

The hospitality revenue management and pricing analytics market in Brazil will experience prosperous growth during the prediction period from 2025 to 2034.
 

• Brazil is preferred for vacation due to its varied and plentiful tourism attractions ranging from Amazon ecotourism to cultural festivals to beach destinations. The country's rich tourism offerings are leading to an increasing presence of sophisticated pricing tools to orchestrate rooms more efficiently in response to seasonality, demand spikes and aspects like Carnival and international sporting events. With the anticipated investment in hospitality infrastructure prior to global tourism events, such as COP30 in 2025 in Belém, Brazil, and around Brazil, hotels and resorts are being pushed to adopt dynamic pricing and revenue management systems.
   
• For instance, in April 2024, Hidden Pousadas Brazil, a Rio de Janeiro based marketing agency for boutique lodges, has used AI powered revenue and pricing tools to change its approach. The new system dynamically adjusts room pricing and inventory, accordingly, giving the company the real time management it needs to evaluate the proper room price based on past bookings, competitor pricing and seasonally affected demand. The new system even tracks revenue potential for ancillary revenue streams like tours and spas for the lodges.
   
• In Mexico majority of the hotels now integrated with OTAs, revenue managers are prioritizing direct booking strategies and loyalty program incentives to reduce dependency on third-party platforms. Similarly, inflation and currency instability are pushing hotels to adopt real-time pricing adjustments, with tools like Duetto and Atomize RMS gaining traction for their hyperlocal market adaptability in Argentina.
   

The UAE hospitality revenue management and pricing analysis market is expected to experience magnificent growth between 2025 and 2034.
 

• With the UAE working to become a global travel and commercial hub, with massive infrastructure added through initiatives like Expo City Dubai, the launching interest in the 2030 Tourism Strategy, and commitment to Vision 2040, there is an increasing need for pricing tools that keep pace with shifting international demand, significant seasonality, and differences in the traveler profile. In the UAE's luxury hospitality environment, pricing strategies depend on data-driven decision-making requiring constant updates to preserve premium selling prices while providing predictably high occupancy.
   
• The continuing government support for smart city initiatives, combined with the UAE's high mobile and internet penetration rates, has accelerated the adoption of integrated, cloud-based RMS systems. For instance, in December 2024, Al Habtoor Palace in Dubai's work with IDeaS to allowing them to implement the G3 Revenue Management System. The G3 RMS provided real-time, room level forecasting for demand and dynamic pricing optimization. The AI-enabled RMS reduced rate decision-making time, helped organize overbookings, and rushed in various pricing scenarios for future proofing.
   
• Similarly, Saudi Arabia’s Vision 2030 is accelerating demand for Sharia-compliant revenue tools and event-based pricing strategies, especially around mega-projects like NEOM. South Africa, while facing economic challenges, is seeing growth in eco-tourism revenue optimization, with safari lodges and boutique hotels adopting cloud-based pricing platforms. By 2034 the MEA holds 9.55% market share with CAGR 14.9% for the period 2025-2034.
   

Hospitality Revenue Management & Pricing Analytics Market Share

The top 7 companies in the market are Atomize RMS, BEONx, FLYR Hospitality, Huawei, Lybra, Oracle, and SAP SE. These companies hold around 16% of the market share in 2024.
 

• Atomize is a cloud-based revenue management system specifically for hotels and is suitable for mid-size and independent hotels. Atomize uses real-time (automatic) pricing automation that applies artificial intelligence to set rates according to demand, competition, and booking patterns by being fast and easy to deploy and having an intuitive user interface. Atomize has grown in popularity among small hotel operators that want to ensure they are using the latest technology, but do not want additional complexity, or operations constraints related to hotel software.
   
• BEONx (formerly Beonprice) is a revenue optimization platform that leverages artificial intelligence and that aims to support hotels' revenue optimization for both pricing and guest value. BEONx combines demand forecasting with personalized guest experience data to grow total revenue performance and further their sustainable customer profitability by using ESG metrics (environmental, social, and governance) in pricing decisions to appeal to sustainable hotel brands.
   
• FLYR purchased Pace Revenue in 2022. The acquisition is part of FLYR's goal to grow its transport-based AI technology into the hospitality industry. FLYR has a predictive AI platform that automates pricing decisions and allows hotels to optimize pricing in connection with availability and distribution. FLYR Hospitality concentrates on real-time decision intelligence throughout the guest journey.
   
• Although primarily known for telecommunications, Huawei sells cloud-based hotel systems aimed at providing hotel management and revenue systems as part of its enterprise service. With its digital infrastructure and AI, Huawei provides large hotel properties in optimizing and pricing hotel operations as well as guest specialization, with a focus of supporting hotel and restaurant enterprises in the Asia-Pacific region.
   
• Lybra Tech (a provider in the Zucchetti Group) has created Lybra Assistant RMS, a machine learning RMS which assesses pricing against market demand, changes in competitor prices, and flight search data, all with the aim of optimizing RevPAR for hotels by creating easy to understand automated recommendations for independent hotels and chains.
   
• Oracle is a global leader in enterprise technology and their OPERA Cloud RMS is widely recognized as the most frequently used hotel revenue system in existence. OPERA Cloud provides full-service pricing, forecasting, and inventory management in one RMS solution, as it integrates with other Oracle software (PMS and CRS systems) without any additional configuration. Because of their scalability, reliability, and integration, Oracle solutions are frequently chosen by large chains and resorts.
   
• SAP provides business intelligence and analytics platforms for hospitality brands looking to optimize revenue and performance for hotels. Using products like SAP BusinessObjects and SAP Analytics Cloud, hotels discover insights around occupancy trends and consequently pricing and profitability across various departments. SAP's strengths are enterprise integration and cross-functional analysis of data.
   

Hospitality Revenue Management & Pricing Analytics Market Companies

Major players operating in the hospitality revenue management & pricing analytics industry include:

• Aiosell
• Atomize RMS
• BEONx
• Cloudbeds
• Duetto
• FLYR Hospitality
• Huawei
• Lybra
• Oracle
• SAP
   
• Atomize is known for real-time room price adjustment using market changes and internal data to optimize revenue opportunities, and it is focused on integration with Property Management Systems to seamlessly transfer data and improve hotel workflows.
   
• FLYR Hospitality offers an AI revenue management and pricing analytics platform Built for speed and efficiency with the Goal of getting the platform integrated with existing property management systems (PMS) and central reservation systems (CRS), imploring minimally disruptive and quickly deployable revenue management analysis.
   
• The system analyzes a variety of data points, and machine learning algorithm that provides real-time pricing recommendations. Lybra's Assistant-RMS was designed to eliminate unnecessary complexity in revenue management strategies and automate routine revenue management actions. Lybra gives hotels the time to focus on strategy by better managing occupancy, ADR, and RevPAR.
   
• Oracle has a comprehensive solutions portfolio around revenue management and pricing analytics in the hospitality industry, most notably monitored through its OPERA Cloud platform. The software solutions drive to help hotels maximize their revenue, real-time recommendations help manage pricing and inventory control across channels and link hotels to distribution channels, so rates, restrictions, and inventory managed systemically.
   

Hospitality Revenue Management & Pricing Analytics Industry News

• In July 2025, Revenue Analytics announced the acquisition of Climber to extend its operations in key international markets, especially in Europe and Latin America. Climber has cutting-edge regional knowledge and connections with local clients as well as being the market leader in Brazil and top-tier performer in local boutique hotels. Revenue Analytics tap into this with its AI powered pricing platform.
   
• In July 2025, Duetto introduces GameTime to fill a critical gap in the hospitality revenue management & pricing analytics market. GameTime will provide select-service and limited-service hotels with a scalable solution that manages revenue management in an efficient manner. GameTime has a purpose-built, mobile-friendly interface, and the unique aspect of auto generated pricing for properties with limited resources.
   
• In April 2025, FLYR has formally formed a strategic partnership with Ennismore, the rapidly expanding lifestyle hospitality group, to further develop its commercial operations with complex revenue-management and distribution capabilities. Ennismore has a diverse portfolio of 180 hotels, 500 restaurants and bars, across 17 brands around the globe and will use FLYR's integrated platform to optimize pricing, selling, and marketing.
   
• In November 2024, Mewe's recent acquisition of Atomize make strategic intellect to solidify Mewe's market presence in the AI revenue management sector. By integrating Atomize advanced, next-generation pricing optimization technology will offer hoteliers a more sophisticated way of conducting a rate change in real-time, as well as forecasting demand.
   

The hospitality revenue management & pricing analytics market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($ Mn/Bn) from 2021 to 2034, for the following segments:

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Market, By Component

• Solution
  • Revenue Management System (RMS)
  • Forecasting & demand modeling
  • Billing and payment
  • Business intelligence and reporting
  • Pricing analytics platforms
  • Channel management
  • Others
• Services
  • Professional services
    • Consulting & strategy
    • Deployment & integration
    • Support & maintenance
  • Managed services

Market, By Platform

• Desktop-based UI
• Mobile/Tablet RMS Apps

Market, By Deployment Model

• Cloud-based
• On-premises
• Hybrid

Market, By Ownership

• Independent
• Chain and franchises
• Leased and managed

Market, By Application

• Room revenue management
• Food and beverage revenue management
• Spa and wellness revenue management
• Event and meeting revenue management
• Ancillary revenue management

• Total revenue management

Market, By End Use

• Hotels & resorts
• Restaurants & food services
• Cruise lines & casinos
• Short-term rentals
• Extended stay and apartment hotels

The above information is provided for the following regions and countries:

• North America
  • U.S.
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Belgium
  • Netherlands
  • Sweden
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • Singapore
  • South Korea
  • Vietnam
  • Thailand
  • Philippines
  • Indonesia 
• Latin America
  • Brazil
  • Mexico
  • Argentina
• MEA
  • South Africa
  • Saudi Arabia
  • UAE