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.

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.

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.

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.

The average daily rate (ADR) of hotels in the United States was ***** U.S. dollars as of November 2020. Due to the impact of the coronavirus pandemic in the hotel industry, this figure dropped to about **** percent when compared to last year's figure.

What is average daily rate?

Average daily rate is a key performance indicator of the hospitality industry. It shows the average room rental price per day in either a specific hotel (independent/chain), or in this case the average room rental price per day of many hotels within the U.S. Other useful KPI’s in the lodging industry are the  occupancy rate and revenue per available room (RevPAR).

Monthly ADR trends

Patterns are quite easy to discern in the monthly ADR of U.S. hotels. It often peaks annually in October and shows a dip in January. This dip could be due to lower spending from consumers after the expensive winter holiday season. Additionally, U.S. hotel ADR rates have shown annual growth month-to-month since 2011.

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.

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.

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.

Hotels and Resorts in Australia have undergone a dramatic rebound since the pandemic, when border closures drove occupancy rates and revenue to historic lows. The industry’s recovery began in 2022, spurred by pent-up leisure demand and the return of corporate and international travel. Major operators could lift average daily rates (ADR) as demand returned, particularly in the luxury segment, where international travellers preferred premium accommodation. This pricing power has underpinned revenue gains despite occupancy rates tracking below their pre-COVID peak. Stronger profitability has followed, with many operators stabilising operations through higher room yields and leaner cost structures. Domestic tourism has faced more difficulty, as rising living costs have reduced household discretionary spending on leisure travel. However, luxury tourism from inbound markets has surged, supporting growth in gateway cities like Sydney, Melbourne and Brisbane. Industry revenue is expected to rise at an annualised 12.0% over the five years through 2025–26, to reach $14.8 billion. This includes a more modest 1.6% increase in 2025-26, as strong growth in average daily rates offsets only slight gains in visitor nights. Profitability has improved significantly compared with pandemic lows, but margin expansion is now being tested by heavier competition and rising operating costs. Looking ahead, international arrivals are projected to surpass pre-pandemic benchmarks by 2026–27, supporting stable demand for luxury and midscale hotels. Domestic travel is forecast to recover more gradually as easing interest rates and stronger household sentiment lift discretionary spending. In contrast, corporate travel demand is expected to normalise in line with broader economic trends. Industry revenue is forecast to expand at an annualised 2.9% through the end of 2030–31, to reach $17.1 billion. Despite this growth outlook, operators face challenges. Slowing construction after years of heavy investment will temper new supply, but increased establishment numbers will intensify internal price competition. At the same time, emerging state-based restrictions on short-stay platforms like Airbnb could ease external pressures and give hotels a competitive edge. Profitability is expected to remain healthy, though margin expansion will depend on balancing room pricing, service quality and competitive pressures in a more stabilised operating environment.

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.

The average hotel revenue per overnight stay in Tunisia stood at ***** Tunisian dinars (roughly **** U.S. dollars) in 2019. This was an increase compared to the previous year. In the period under review, the average revenue in the country was at its lowest in 2017 at *** Tunisian dinars (**** U.S. dollars).

According to Cognitive Market Research, the global mid range hotel market size is USD XX billion in 2023 and will grow at a compound annual growth rate (CAGR) of 6.00% from 2023 to 2030

The demand for mid range hotel market is rising due to therise of online booking platforms and travel websites has greatly enhanced the prominence of mid-range hotels.
Demand for one double bed remains higher in the mid-range hotel market.
The online booking category held the highest mid-range hotel market revenue share in 2023.
North America will continue to lead, whereas the Asia Pacific mid-range hotel market will experience the strongest growth until 2030.

Market Dynamics of MID Range Hotel Market

Key Drivers of MID Range Hotel Market

Enhanced Guest Experience and Amenities to Provide Viable Market Output

The mid-range hotel market is the constant focus on enhancing the guest experience. Mid-range hotels are increasingly investing in amenities and services that appeal to a wide range of travelers, including families, business professionals, and tourists. These hotels are incorporating modern technology, such as mobile check-in services and high-speed Wi-Fi, to cater to the needs of tech-savvy guests.

In January 2023, Marriott revealed the inauguration of the first-ever Westin Hotels and Resorts establishment in Uttarakhand, India. The Westin Resort and Spa, Himalayas, is now open for business.

Additionally, they are expanding their offerings to include on-site restaurants, fitness centers, conference facilities, and recreational activities. By providing a diverse array of services, mid-range hotels create a compelling value proposition for guests, ensuring customer satisfaction and loyalty. This focus on guest experience drives positive reviews, repeat business, and positive word-of-mouth referrals, contributing significantly to the growth of the mid-range hotel sector.

Strategic Location and Accessibility to Propel Market Growth

The strategic location of mid-range hotels plays a pivotal role in driving their success. These hotels are often situated in prime areas, offering easy accessibility to popular tourist attractions, business districts, transportation hubs, and entertainment venues. Their convenient locations make them an attractive choice for travelers seeking both comfort and accessibility. Mid-range hotels frequently capitalize on their proximity to key points of interest, allowing guests to explore the local culture and attractions effortlessly. Moreover, their accessibility to public transportation options and major highways makes them convenient choices for travelers, ensuring a steady flow of guests throughout the year.

Restraint Factors of Mid Range Hotel Market

Rising Economic Fluctuations to Hinder Market Growth

The mid-range hotel market is its sensitivity to economic fluctuations. During periods of economic uncertainty, consumers tend to reduce their travel budgets, opting for more budget-friendly accommodation options or cutting down on travel altogether. Mid-range hotels often find themselves in a precarious position, as they need to balance providing quality services with competitive pricing. Economic downturns can lead to reduced occupancy rates and lower average room prices, impacting the overall revenue of mid-range hotels. Additionally, these hotels face pressure from both ends: the need to maintain a certain level of service quality to attract guests and the necessity to keep prices affordable.

Pressure from Alternative Accommodation Platforms

One of the key restraints impacting the mid-range hotel market is the growing competition from alternative accommodation providers, such as Airbnb, Vrbo, and other short-term rental platforms. These alternatives often offer larger spaces, home-like amenities, and flexible pricing, which can be more appealing to families, groups, and long-stay travelers. Many travelers now prefer the personalized, local experience that these platforms promote something mid-range hotels may struggle to replicate within their standardized service models. As consumer preferences shift toward more authentic and cost-effective lodging options, mid-range hotels face the challenge of redefining their value proposition to retain market share, especially in leisure-driven travel segments.

Opportunity for mid range hotel market

Rising Demand for Affordable Yet Comfortable Travel Options is C...

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.

AI Revenue Management for Hotels Market Outlook

As per our latest research, the AI Revenue Management for Hotels market size reached USD 1.44 billion in 2024, underscoring robust adoption across the hospitality sector. The market is expected to grow at a CAGR of 17.2% from 2025 to 2033, reaching a forecasted value of USD 6.04 billion by 2033. This remarkable growth trajectory is driven by the increasing demand for automation, data-driven decision-making, and the need for dynamic pricing strategies to optimize hotel revenues in an ever-competitive environment.

One of the central growth factors for the AI Revenue Management for Hotels market is the rising complexity of consumer behavior and the proliferation of booking channels. Hotels are increasingly relying on sophisticated AI-powered tools to analyze vast datasets, forecast demand, and implement dynamic pricing in real time. With the hospitality industry becoming more digitized, hotels are seeking ways to maximize occupancy rates and average daily rates (ADR) while minimizing operational inefficiencies. The integration of AI in revenue management allows for granular segmentation, personalized pricing, and more accurate forecasting, which are critical for maintaining competitiveness in a volatile market landscape.

Another significant driver is the shift towards cloud-based solutions, which offer scalability, flexibility, and cost-effectiveness. Cloud deployment has made advanced revenue management accessible to a broader range of hotels, including small and mid-scale properties that previously lacked the resources for such technology. These solutions enable seamless integration with property management systems (PMS), customer relationship management (CRM), and other third-party platforms, facilitating a holistic approach to revenue optimization. Furthermore, the ability to leverage AI for real-time inventory management and distribution channel optimization has become a cornerstone for hotels aiming to capture incremental revenue and reduce overbookings or underutilization.

Additionally, the post-pandemic recovery of the travel and tourism industry is fueling renewed investments in technological innovation. Hotels are under increasing pressure to adapt to fluctuating demand patterns, changing guest preferences, and heightened competition from alternative accommodation providers. AI-driven revenue management systems empower hoteliers to respond dynamically to market shifts, enhance guest experiences through personalized offers, and drive profitability. The growing recognition of AI’s role in elevating operational efficiency and strategic decision-making is expected to sustain the market’s momentum over the forecast period.

Regionally, North America and Europe are leading the adoption of AI revenue management solutions, driven by the presence of large hotel chains, high digital literacy, and a mature hospitality ecosystem. However, the Asia Pacific region is emerging as a high-growth market, propelled by rapid tourism expansion, rising investments in hotel infrastructure, and increasing awareness of the benefits of AI in hospitality management. Latin America and the Middle East & Africa are also witnessing gradual uptake, supported by growing tourism sectors and digital transformation initiatives. The global landscape is characterized by a mix of established players and innovative startups, fostering a competitive and dynamic environment.

Component Analysis

The Component segment of the AI Revenue Management for Hotels market is bifurcated into software and services, each playing a pivotal role in the overall ecosystem. The software component comprises advanced AI algorithms, machine learning models, and analytics platforms that drive the core functionalities of revenue management systems. These solutions are designed to automate complex processes such as pricing optimization, demand forecasting, and inventory management, providing hotels with actionable insights in real time. The continuous evolution of AI

This dataset provides a comprehensive analysis of the tourism and hospitality industry, covering key metrics such as visitor trends, hotel occupancy rates, average spending per tourist, seasonal demand patterns, and revenue insights. It is useful for travel analysts, hospitality businesses, researchers, and policymakers to understand industry dynamics, predict trends, and optimize business strategies.

Potential Use Cases:

📊 Market Analysis: Identify travel trends and popular destinations.
📈 Revenue Forecasting: Predict hotel occupancy rates and revenue patterns.
🏨 Hospitality Business Insights: Analyze customer preferences and spending habits.
🌍 Tourism Policy Evaluation: Support government tourism strategies.
🧠 Machine Learning Applications: Build predictive models for visitor demand and pricing optimization.

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%">

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.

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.