The revenue per available room (RevPAR) of the United States hotel industry was ***** U.S. dollars in 2022. This figure reflects an increase over the RevPAR of the previous two years which were impacted by the coronavirus (COVID-19) pandemic. What is RevPAR? Revenue per available room (RevPAR) is a key metric in the hospitality industry. RevPAR is calculated by multiplying the average daily rate (ADR) and the occupancy rate of a hotel. Calculating RevPAR can help hotels with things such as comparing their performance to their competitors and measuring their revenue generating performance to accurately price rooms. Impact of COVID-19 on the tourism industry The coronavirus (COVID-19) pandemic massively impacted in the tourism industry across the globe. Governments imposed travel restrictions, including border closures, in an attempt to reduce the spread of the virus. As a result, the projected number of domestic leisure trips that Americans took in 2020 reflected a **** percent decrease compared to the previous year. Furthermore, domestic business trips also plummeted in that year.

The revenue in the 'Hotels' segment of the travel & tourism market worldwide was modeled to be ************** U.S. dollars in 2024. Between 2017 and 2024, the revenue rose by ************* U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend. The revenue will steadily rise by ************** U.S. dollars over the period from 2024 to 2030, 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 Hotels.

his dataset provides comprehensive insights into the operational and revenue performance of a hotel throughout the year 2024. It includes detailed records of daily operations, revenue figures, guest demographics, booking sources, economic indicators, and more. Key features encompass:

Date: The date of the recorded data. Month: Numeric representation of the month. Day of the Week: Numeric representation of the day in a week. Season: Categorical representation of the season (e.g., Winter, Spring, Summer, Fall). Public Holiday: Binary indicator (0 or 1) denoting whether it's a public holiday. Previous Month Revenue: Revenue generated in the previous month. Year-over-Year Revenue: Revenue compared to the same month the previous year. Monthly Trend: Trend in revenue or occupancy for the month. Occupancy Rate: Percentage of rooms occupied. Average Daily Rate (ADR): Average rate charged per occupied room. Revenue per Available Room (RevPAR): Revenue generated per available room. Booking Lead Time: Average lead time between booking and stay. Booking Cancellations: Percentage of bookings cancelled. Booking Source: Source of the booking (e.g., Direct, OTA). Guest Type: Type of guest (e.g., Leisure, Business). Repeat Guests: Percentage of guests who are repeat visitors. Nationality: Nationality of guests. Group Bookings: Binary indicator denoting group bookings. Discounts and Promotions: Use of discounts or promotions. Room Rate: Average rate charged for rooms. Local Events: Presence of local events influencing occupancy. Hotel Events: Events hosted by the hotel affecting operations. Competitor Rates: Rates offered by competitors. Weather Conditions: Local weather conditions influencing guest behavior. Economic Indicators: Economic factors influencing hotel performance. Staff Levels: Staffing levels affecting service quality. Guest Satisfaction: Guest satisfaction ratings. Maintenance Issues: Issues related to maintenance affecting operations. Marketing Spend: Expenditure on marketing activities. Online Reviews: Ratings and reviews provided online. Social Media Engagement: Engagement metrics on social media platforms. Seasonal Adjustments: Adjustments made for seasonal variations. Trend Adjustments: Adjustments made for trending factors. Room Revenue: Total revenue from room bookings. Food and Beverage Revenue: Revenue from food and beverage services. Other Services Revenue: Revenue from other hotel services. Total Revenue for the Month: Overall revenue generated for the month.

This statistic shows the revenue of the United States hotel industry from 2001 to 2018. In 2018, the revenue of the hotel industry in the U.S. reached *** billion U.S. dollars.

U.S. hotel industry key performance indicators

To measure the performance of the hotel industry sector three basic benchmark figures are commonly used:

• Occupancy rate

• Average daily rate (ADR)

• Revenue per available room (RevPAR)

The occupancy rate denotes the percentage of hotel rooms that are rented out at a given time of all the hotel rooms that are available. In 2018, the average occupancy rate of the U.S. hospitality industry was at **** percent, this was the highest seen since 2001.

The average daily rate (ADR) shows the average rate at which hotel rooms were paid. It is calculated by dividing total rooms revenue by the number of rooms that were occupied. In 2018, the average ADR of hotel rooms in the U.S. reached ****** U.S. dollars. In the Americas region, the average daily rate was relatively stable throughout the year.

Revenue per available room (RevPAR) is a measure of utilization in the hotel industry and can be calculated by multiplying the average daily rate of a property (market) by its occupancy rate. The average RevPAR of hotels in the United States was ***** U.S. dollars in 2018.

In 2019, Europe generated approximately ***** U.S. dollars of revenue per available room (RevPAR) in the hotel industry. This shows a drop when compared to previous year's total of over a hundred U.S. dollars. Europe produced the highest RevPAR worldwide that year.

Revenue in the United States

In the United States hotel industry, RevPAR stood at just under ** U.S. dollars in 2018. The United States lodging industry saw a revenue increase of almost three percent in 2018, compared to the previous year.

Monthly average revenue worldwide

The average revenue a hotel earns per available room varies significantly throughout the year. For hotels based in the United States, the RevPAR tends to be at its peak during the summer months. In July 2019, for instance, the average revenue per available room was just under one hundred U.S. dollars. Conversely, hotels based in the Middle East and Africa tend to generate more revenue during other times of the year. For example, these regions generated around ***** U.S. dollars in November 2019.

Hotel Revenue Management System Market Outlook

The global hotel revenue management system market size is projected to experience significant growth over the years, with estimations indicating a climb from USD 2.4 billion in 2023 to approximately USD 5.6 billion by 2032, reflecting a compound annual growth rate (CAGR) of 9.8%. This remarkable growth can be attributed to several factors, including the increasing adoption of technology-driven solutions in the hospitality industry, a growing emphasis on optimizing operational efficiency, and the rising need for data-driven decision-making processes. As the hospitality sector continues to evolve, the role of hotel revenue management systems becomes increasingly critical in ensuring competitive advantage and profitability.

One of the primary growth factors for the hotel revenue management system market is the continuous technological advancements in the hospitality sector. The adoption of artificial intelligence, machine learning algorithms, and big data analytics has revolutionized how hotels manage their revenue streams. These technologies enable hoteliers to predict demand patterns more accurately, optimize pricing strategies, and enhance guest experiences, thereby driving revenue growth. Moreover, the integration of these advanced technologies into revenue management systems allows hotels to tailor their services to meet the ever-changing needs of their guests, ensuring personalized experiences and higher customer satisfaction, which in turn enhances brand loyalty and repeat business.

Another critical driver for the market is the growing competition in the hospitality industry, which necessitates the adoption of sophisticated revenue management systems. With an increasing number of hotels entering the market, hoteliers are under pressure to maximize their revenue and maintain profitability. Revenue management systems provide a strategic approach to revenue optimization by analyzing various factors such as market demand, competitor pricing, and booking patterns. By leveraging these insights, hotels can implement dynamic pricing strategies, optimize room inventory, and improve their sales and marketing efforts. This results in increased occupancy rates, higher average daily rates, and ultimately, enhanced revenue performance.

Furthermore, the rising importance of data-driven decision-making processes in the hospitality sector is also propelling the growth of the hotel revenue management system market. In an era where data is considered the new oil, hotels are increasingly relying on data analytics to gain valuable insights into their operations and customer preferences. Revenue management systems equipped with powerful analytics tools enable hoteliers to make informed decisions based on real-time data, allowing them to identify trends, assess market conditions, and adjust their strategies accordingly. This data-driven approach not only helps hotels stay ahead of the competition but also ensures efficient resource allocation and improved financial performance.

From a regional perspective, North America currently dominates the hotel revenue management system market, owing to the high concentration of luxury and high-end hotel chains in the region. The increasing prevalence of advanced technologies and the presence of key market players contribute to the region's strong market position. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the rapid expansion of the hospitality sector in countries such as China, India, and Southeast Asian nations. This growth is further fueled by the rising disposable incomes of the middle-class population and the increasing demand for travel and tourism in the region.

Component Analysis

The hotel revenue management system market is primarily segmented by component into software and services. Within this segment, the software component is anticipated to hold a significant share, driven by the increasing demand for sophisticated and efficient management solutions that can optimize hotel operations and boost revenue. Advanced software solutions offer features such as dynamic pricing, demand forecasting, and real-time analytics, which are essential for the effective management of hotel revenues. These software solutions are continuously being enhanced with new capabilities, such as AI-driven insights and automation features, which are attracting more hotel operators to invest in such systems.

On the other hand, the services component within the hotel revenue management system market also plays a crucial role in supporting

Data includes occupancy rates, average daily rates, and revenue per available room.

Shows hotel economic information such as average daily rate (ADR), revenue per available room (RevPar) and total revenue. It also reports on the total jobs in open establishments and the total jobs by income, by overnight stays, by travelers staying and by places offered. All these indicators are differentiated according to categories of the tourist establishment and by islands and municipalities of the Canary Islands. Monthly and annual data since 2009.

Beijing: Star-Rated Hotel: Revenue: Food & Beverage data was reported at 4,664.861 RMB mn in 2023. This records an increase from the previous number of 2,504.950 RMB mn for 2022. Beijing: Star-Rated Hotel: Revenue: Food & Beverage data is updated yearly, averaging 6,078.468 RMB mn from Dec 2003 (Median) to 2023, with 21 observations. The data reached an all-time high of 10,003.548 RMB mn in 2012 and a record low of 2,350.684 RMB mn in 2020. Beijing: Star-Rated Hotel: Revenue: Food & Beverage data remains active status in CEIC and is reported by Beijing Municipal Commission of Tourism Development. The data is categorized under China Premium Database’s Hotel Sector – Table CN.QHRA: Star-Rated Hotel: Beijing.

In the fourth quarter of 2020, the average daily rate (ADR) in the U.S. lodging industry was ***** U.S. dollars per day. This was predicted to reach ****** U.S. dollars in the fourth quarter of 2022. Typically, ADRs tend to be higher during the warmer seasons.

The U.S. hotel industry

Average daily rates in the United States have steadily increased since 2011. In **************, the ADR was roughly *** U.S. dollars showing an increase of almost *** U.S. dollar compared to September of the previous year. The U.S. hotel industry had an occupancy rate of just over ** percent in 2019. However, due to the impact of the coronavirus pandemic, the hotel industry in the United States has taken a hit. In **************, the average daily rate of hotels in the U.S. reached ***** U.S. dollars, a decrease of around ** percent over the previous year.

Hotel revenue in the United States

In 2019, the United States hotel industry reached an average revenue per available room (RevPAR) of nearly ** U.S. dollars. The RevPAR in the United States was *** percent lower in 2019, compared to the previous year. When looking at seasonal changes in RevPAR, it reached its peak in the summer of 2019. In July of that year, the revenue per available room was just under *********** U.S. dollars.

China Hotel: Revenue data was reported at 332,974.300 RMB mn in 2020. This records a decrease from the previous number of 434,360.980 RMB mn for 2019. China Hotel: Revenue data is updated yearly, averaging 342,886.650 RMB mn from Dec 2005 (Median) to 2020, with 16 observations. The data reached an all-time high of 434,360.980 RMB mn in 2019 and a record low of 135,328.104 RMB mn in 2005. China Hotel: Revenue data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Hotel Sector – Table CN.QHA: Hotel Operation.

The extended stay hotels industry, due to trends spurred by remote work flexibility, has experienced minor growth over the past five years. With increased corporate profit and consumer expenditure, industry revenue rose at an estimated annualized 11.3%, reaching $19.6 billion over the five years to 2025. This includes a disruption in 2020 with a halt in international travel and a slump in consumer spending attributable to the pandemic. Nonetheless, a strong pre-pandemic recovery and an anticipated surge in leisure travel demand project a promising outlook for the industry, with projected revenue increase of 1.4% in 2025 alone. Over the past five years, the increasing presence of digital nomads who work remotely have fueled industry's growth. Simultaneously, leisure travel has also boded well with the industry as more corporate employees combine travel and work, extending their stay duration for vacations. Besides, extended stay hotels have continually attracted hotel proprietors and entrepreneurs due to their high occupancy rates and lower operational expenditure. As an outcome, there's been a sizable uptick in extended stay room availability, culminating in intensified competitive pricing. The industry's relatively lower operating expenses compared to typical hotels, stemming from factors like infrequent housekeeping service needs, afford a bolstered profit margin despite varying occupancy rates. Upscale extended stay hotels shall witness a potential boost in demand, courtesy of robust business travel and the anticipated resurgence of international travelers. Driven by these factors, industry revenue is projected to increase at a CAGR of 2.1%, hitting $21.7 billion by 2030.

Key Travel App StatisticsTop Travel AppsTravel App Market LandscapeTravel App RevenueTravel Revenue By AppTravel App UsersTravel App Market Share United StatesTravel App DownloadsThe online travel...

As a result of the coronavirus (COVID-19) pandemic the hotel industry taken a hit in 2020. In ********, the revenue per available room (RevPAR) in Europe saw the most dramatic effects of the virus, dropping to ***** U.S. dollars - compared to the previous year this figure dropped by ***** U.S. dollars.

RevPAR

Revenue per available room (RevPAR) is typically calculated by multiplying a hotel's average daily room rate (ADR) by its occupancy rate. The RevPAR generated by European hotels was about ***** U.S. dollars on average in 2019. In comparison, the Asia Pacific region generated the lowest RevPAR accounting for approximately ** U.S. dollars per available room.

The European hotel industry

In 2019, Southern and Western Europe had average daily rates (ADRs) of approximately ****** and ****** U.S. dollars, respectively, making them the most expensive regions on the continent that year. Eastern Europe has had the lowest ADRs since 2011. Southern Europe also generated the highest revenue per available room (RevPAR) in 2019. The region had a RevPAR of just over ** euros (around *** U.S. dollars) in 2018, which is an almost six percent increase compared to the previous year. Southern European countries are also home to the highest number of hotel brands on the continent. Countries, such as Italy, Spain and Greece, each accounted for over *********** hotel brands in 2019.

Shanghai: Star-Rated Hotel: Revenue data was reported at 13,145.000 RMB mn in 2023. This records an increase from the previous number of 7,708.000 RMB mn for 2022. Shanghai: Star-Rated Hotel: Revenue data is updated yearly, averaging 15,459.033 RMB mn from Dec 1999 (Median) to 2023, with 25 observations. The data reached an all-time high of 21,265.234 RMB mn in 2017 and a record low of 5,220.669 RMB mn in 1999. Shanghai: Star-Rated Hotel: Revenue data remains active status in CEIC and is reported by Shanghai Municipal Tourism Administration. The data is categorized under Global Database’s China – Table CN.QHRA: Star-Rated Hotel: Shanghai.

Zhejiang: Star-Rated Hotel: Revenue: Room data was reported at 4,725.000 RMB mn in 2023. This records an increase from the previous number of 4,081.350 RMB mn for 2022. Zhejiang: Star-Rated Hotel: Revenue: Room data is updated yearly, averaging 6,973.925 RMB mn from Dec 2003 (Median) to 2023, with 21 observations. The data reached an all-time high of 7,698.414 RMB mn in 2011 and a record low of 3,753.767 RMB mn in 2003. Zhejiang: Star-Rated Hotel: Revenue: Room data remains active status in CEIC and is reported by Zhejiang Provincial Tourism Bureau. The data is categorized under China Premium Database’s Hotel Sector – Table CN.QHRA: Star-Rated Hotel: Zhejiang.

India IHIS: Percentage of Revenue: 50 to 150 Rooms: Net Income data was reported at 26.900 % in 2017. This records an increase from the previous number of 25.900 % for 2016. India IHIS: Percentage of Revenue: 50 to 150 Rooms: Net Income data is updated yearly, averaging 27.900 % from Mar 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 38.500 % in 2008 and a record low of 19.400 % in 2002. India IHIS: Percentage of Revenue: 50 to 150 Rooms: Net Income data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHF003: Indian Hotel Industry Survey: Financial Performance: Revenue: by Number of Rooms.

The Survey on Tourist Establishments provides statistical information on the occupancy of hotel establishments: hotels and guesthouses as well as rural accommodation - rural tourism establishments and country houses - tourist apartments and tourist hostels located in the Basque Country. The main variables obtained are the number of visitors, number of overnight stays, average length of stay and occupancy rates, both for places and for beds.The information is offered in different formats and geographical desegregations according to the variables being studied. The data on hotel establishments is also offered via a new tool that easily and intuitively enables more detailed information to be visualised and obtained..cajaDESTACADOSHOME:hover {border: 3px solid #013161; border-radius: 10px;}/tourism_data_explorer_euskadi_hotels.html?utm_source=web&utm_medium=texto_intro&utm_campaign=etr_powerbi_i" style="margin-left:20%">

Hotel Upselling Software Market Outlook

According to our latest research, the global hotel upselling software market size reached USD 1.21 billion in 2024, fueled by the hospitality sectorÂ’s increasing focus on personalized guest experiences and revenue optimization. The market is exhibiting a robust CAGR of 13.8% and is projected to attain a value of USD 3.45 billion by 2033. This impressive growth trajectory is primarily driven by the widespread adoption of digital solutions in hotels, the rising demand for automation in guest services, and the continuous evolution of consumer expectations within the travel and hospitality industry.

One of the primary growth factors for the hotel upselling software market is the hospitality industry's rapid digital transformation. Hoteliers worldwide are increasingly leveraging technology to enhance operational efficiency and boost ancillary revenue streams. Upselling software enables hotels to offer targeted upgrades and personalized services to guests at optimal moments during their journey, significantly increasing the average revenue per booking. The integration of artificial intelligence and machine learning algorithms within these platforms further enhances their ability to deliver tailored recommendations, thereby improving guest satisfaction and maximizing hotel profitability. As hotels continue to recover from the impact of recent global disruptions, the adoption of upselling software is becoming a critical differentiator in a highly competitive marketplace.

Another significant driver is the shift in guest expectations, with modern travelers seeking more personalized and memorable experiences during their stays. Hotel upselling software empowers properties to anticipate guest needs and present relevant offers, such as room upgrades, spa treatments, or exclusive dining experiences, directly through digital channels. This not only enriches the guest experience but also creates new revenue opportunities for hotels. The growing popularity of contactless and mobile-first solutions, especially post-pandemic, has further accelerated the adoption of upselling platforms that seamlessly integrate with property management systems (PMS) and customer relationship management (CRM) tools. As a result, hotels are able to streamline their operations while delivering a higher level of service personalization.

Furthermore, the increasing emphasis on automation and data-driven decision-making in hotel management is propelling the market forward. Upselling software provides valuable insights into guest preferences, booking patterns, and spending behaviors, enabling hotels to design more effective marketing campaigns and upsell strategies. Real-time analytics and reporting tools embedded within these platforms allow hotel managers to monitor performance, optimize pricing, and adjust offerings to maximize revenue. The scalability and flexibility offered by cloud-based upselling solutions also make them attractive to both large hotel chains and independent boutique properties. As the hospitality sector continues to embrace digital innovation, the demand for sophisticated upselling software is expected to remain strong throughout the forecast period.

In the realm of maximizing hotel revenues, Group Sales Optimization Software has emerged as a pivotal tool. This software is designed to streamline the sales process for group bookings, which are a significant revenue source for many hotels. By automating and optimizing group sales, hotels can efficiently manage large bookings, ensuring that they are maximizing occupancy and revenue potential. The integration of this software with existing hotel management systems allows for seamless coordination and communication between sales teams and hotel operations, resulting in a more cohesive and profitable approach to group sales. As hotels continue to seek innovative ways to enhance their revenue streams, the adoption of group sales optimization solutions is becoming increasingly prevalent.

From a regional perspective, North America currently leads the hotel upselling software market, accounting for the largest share in 2024 due to the high concentration of luxury hotels, established technology infrastructure, and early adoption of digital guest engagement solutions. Europe follows closely, driven by a vibrant tourism industry and strong dema

Israel Accommodation Services: Annual: Hotel: Revenue in Current Prices data was reported at 11,110.900 ILS mn in 2017. This records an increase from the previous number of 10,148.600 ILS mn for 2016. Israel Accommodation Services: Annual: Hotel: Revenue in Current Prices data is updated yearly, averaging 6,525.900 ILS mn from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 11,110.900 ILS mn in 2017 and a record low of 3,478.800 ILS mn in 1995. Israel Accommodation Services: Annual: Hotel: Revenue in Current Prices data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.Q004: Accommodation Services.