Graph and download economic data for Producer Price Index by Industry: Hotels and Motels, Except Casino Hotels (PCU721110721110) from Dec 2003 to Sep 2025 about casino, hotel, PPI, industry, inflation, price index, indexes, price, and USA.

In 2024, the Hotel Price Index (HPI) in Spain reached a peak in May at over *** points, which was the highest HPI recorded since at least January 2020 and was above by *** percent versus the same month of the previous year.

Hotel Price Index: Hotel Price Index (HPI): Coefficient of variation of the national overall index. Monthly. National.

Hotel Price Index: 2001=100: Weekend data was reported at 110.200 2001=100 in Dec 2007. This records a decrease from the previous number of 111.800 2001=100 for Nov 2007. Hotel Price Index: 2001=100: Weekend data is updated monthly, averaging 107.900 2001=100 from Jan 2000 (Median) to Dec 2007, with 96 observations. The data reached an all-time high of 121.000 2001=100 in Aug 2001 and a record low of 90.170 2001=100 in Apr 2000. Hotel Price Index: 2001=100: Weekend data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Spain – Table ES.Q026: Hotel Price Index.

The average daily rate of hotels in India was over 8,000 Indian rupees in fiscal year 2024. This was an increase compared to the previous year. The average daily rate for luxury hotels was the highest at 15,655 Indian rupees that same year. Community rest houses In India, community sleeping places have been present for centuries. These rest houses are called Dharamshalas, literally meaning “a spiritual dwelling”, that provide shelter for pilgrims and travelers during their journey. Most religious establishments have dedicated areas to provide free food and a place to rest within their premises. Established brands still popular The hospitality industry is changing at a fast pace with the rise of entrepreneurs and their new and innovative ideas for hotel spaces. Even with tough competition from OYO and Airbnb providing unique accommodations, some traditional hotels have retained their hold on the hotel market in India. Among the various hotel companies across India, The Indian Hotels Company, a subsidiary of the Tata Group conglomerate, was the most successful hotel company based on net sales in 2019. Some successful hotel brands owned by this company are Taj, Ginger, and Vivanta.

Hotel Price Intelligence Market Outlook

According to our latest research, the global Hotel Price Intelligence market size reached USD 1.42 billion in 2024, with a robust CAGR of 12.8% projected from 2025 to 2033. This growth trajectory is expected to drive the market to USD 4.22 billion by 2033. The primary growth factor for the hotel price intelligence market is the increasing demand for dynamic pricing strategies and real-time data analytics to optimize room rates and maximize revenues in an intensely competitive hospitality sector worldwide.

The hotel price intelligence market is witnessing significant expansion, propelled by the rapid adoption of advanced technologies such as artificial intelligence, machine learning, and big data analytics. These technologies empower hoteliers to analyze vast volumes of market data, competitor pricing, and consumer behavior in real-time, enabling them to make informed pricing decisions. As the hospitality industry becomes more digitized, the need for automated solutions that can efficiently monitor and adjust prices based on market trends and demand fluctuations becomes critical. This digital transformation is further fueled by the proliferation of online travel agencies (OTAs) and meta-search engines, which have intensified price transparency and competition, making price intelligence tools indispensable for hotels aiming to maintain profitability and market share.

Another key growth driver is the shift in consumer booking behavior, with travelers increasingly relying on online platforms to compare hotel prices and seek the best deals. This heightened price sensitivity among consumers compels hotels to adopt sophisticated price intelligence solutions that provide actionable insights for competitive benchmarking and price optimization. The integration of hotel price intelligence systems with property management and revenue management systems streamlines decision-making processes, enhances operational efficiency, and ensures that hotels can respond swiftly to market changes. Furthermore, the rise of personalized guest experiences and loyalty programs necessitates granular pricing strategies, which are made possible through advanced price intelligence platforms.

The ongoing recovery of the global tourism and travel sector post-pandemic is another influential factor driving the hotel price intelligence market forward. As travel restrictions ease and international mobility resumes, hotels are experiencing fluctuating demand patterns that require agile pricing strategies. Price intelligence solutions help hoteliers navigate these uncertainties by providing accurate demand forecasting and competitor analysis, allowing them to capitalize on peak periods and mitigate losses during low seasons. Additionally, the increasing penetration of cloud-based price intelligence platforms has lowered the barrier to entry for small and medium-sized hotels, democratizing access to cutting-edge pricing technologies and expanding the market’s user base.

Regionally, North America and Europe remain at the forefront of market adoption, thanks to their mature hospitality sectors and strong presence of global hotel chains. However, the Asia Pacific region is emerging as a lucrative market, driven by rapid urbanization, growing tourism, and increasing investments in hospitality infrastructure. The Middle East & Africa and Latin America are also showing promising growth, supported by rising international arrivals and expanding hotel portfolios. The competitive landscape is marked by the presence of both established technology vendors and innovative startups, each contributing to the market’s dynamic evolution through continuous product development and strategic partnerships.

Component Analysis

The component segment of the hotel price intelligence market is broadly categorized into software and services. The software segment dominates the market, driven primarily by the growing adoption of advanced analytics platforms that offer real-time pricing insights, competitor benchmarking, and automated pricing recommendations. These software solutions are increasingly leveraging artificial intelligence and machine learning algorithms to deliver predictive analytics, enabling hoteliers to anticipate market trends and optimize their pricing strategies accordingly. The high degree of customization and integration capabilities offered by these platforms further enha

Dataset

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Contents

Hotel Price Intelligence Market Outlook

According to our latest research, the global Hotel Price Intelligence market size reached USD 1.84 billion in 2024, reflecting robust industry growth supported by the increasing adoption of dynamic pricing strategies and advanced analytics within the hospitality sector. The market is projected to grow at a CAGR of 10.7% from 2025 to 2033, ultimately reaching a forecasted value of USD 4.16 billion by 2033. This remarkable expansion is primarily driven by the escalating demand for data-driven decision-making tools, the proliferation of online travel agencies, and the intensifying competition among hotels to optimize occupancy and maximize revenue.

A significant growth factor for the Hotel Price Intelligence market is the surging reliance on sophisticated pricing analytics to enhance revenue management strategies. As hotels face increasing pressure to remain competitive in a rapidly evolving digital landscape, the integration of real-time price intelligence solutions enables them to monitor competitor pricing, analyze market trends, and dynamically adjust their own rates. The growing complexity of distribution channels, coupled with fluctuating demand patterns, has made it essential for hoteliers to leverage advanced software and services that provide actionable insights. This trend is further amplified by the proliferation of online booking platforms and meta-search engines, which have heightened price transparency and intensified the need for competitive benchmarking.

Another key driver propelling the Hotel Price Intelligence market is the widespread adoption of cloud-based deployment models. Cloud technology offers unparalleled scalability, flexibility, and cost-effectiveness, enabling hotels of all sizes to access powerful price intelligence tools without significant upfront investment in IT infrastructure. The shift towards cloud-based solutions has democratized access to advanced analytics, allowing even small and boutique hotels to implement sophisticated revenue management strategies. Moreover, cloud platforms facilitate seamless integration with property management systems, channel managers, and other hospitality software, streamlining operations and enhancing the accuracy of pricing decisions.

Additionally, the growing focus on personalized guest experiences and the need for granular demand forecasting have spurred innovation within the Hotel Price Intelligence market. Hoteliers are increasingly utilizing artificial intelligence (AI) and machine learning algorithms to anticipate booking patterns, segment customer profiles, and optimize rates in real time. These technologies enable hotels to respond swiftly to market shifts, capture incremental revenue opportunities, and build more resilient pricing strategies. The emergence of new data sources, such as social media sentiment and online reviews, is further enriching the analytics landscape, empowering hotels to make more informed pricing decisions and deliver greater value to guests.

From a regional perspective, North America currently dominates the Hotel Price Intelligence market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The region's leadership can be attributed to the high concentration of international hotel chains, advanced technological infrastructure, and a mature online travel ecosystem. However, Asia Pacific is expected to witness the highest growth rate over the forecast period, driven by rapid urbanization, expanding tourism sectors, and increasing digitalization across emerging economies. The competitive landscape is also evolving, with local players and global technology providers vying for market share by offering innovative, region-specific solutions tailored to diverse hotel segments.

Component Analysis

The Component segment of the Hotel Price Intelligence market is bifurcated into Software and Services, each playing a pivotal role in shaping the industry’s growth trajectory. The software segment encompasses a wide arr

The graph depicts the average price of a hotel room in 2010 and 2011* around the world. In Europe, the average cost for a hotel room was 167.76 U.S. dollars.The Hotel Price Index (HPI) is based on bookings made on hotels.com. The prices shown are those actually paid by the customer. The sample set are about 110,000 properties in more than 18,000 global locations.

Average hotel room prices - additional information

In both 2010 and 2011, the Caribbean was the most expensive region in the world to for hotel stays, with an average hotel room price of 207.11 U.S. dollars in 2011. The Caribbean, located to the south east of North America and the Gulf of Mexico, includes many popular vacation destinations such as the Bahamas, Cuba, Barbados and the Dominican Republic. The region is well-known for its natural beauty and luxury resorts. In 2013, Soufriere, St. Lucia, was one of the most expensive destinations for U.S. travelers in terms of hotel costs, second only to Bora Bora in French Polynesia, where the average daily rate for a hotel was 770 U.S. dollars. Despite the cost, Caribbean cruises were the most popular vacations in the U.S. according to travel company Travel Leaders Group.

A close neighbour of the Caribbean, North America saw the lowest average hotel price in 2010 and 2011. While low in comparison to other regions, the average daily rate of hotels in the U.S. has risen year-on-year since the global recession of 2009 and, in 2013, the U.S. hotel industry generated 163 billion U.S. dollars in revenue. The United States also has some expensive destinations of its own: the most expensive U.S. city for hotel rates in 2013 was Honolulu, Hawaii, with an average daily rate of 230 U.S. dollars. New York ranked second at 211 U.S. dollars a night.

As well as being the region with the second highest average hotel price, hotels in Europe also charge the most for room service. Six out of ten of the most expensive cities in the world for hotel room service were located in Europe in 2014. Helsinki in Finland was the most expensive at just under 90 U.S. dollars.

Hotel Price Parity Monitoring Market Outlook

According to our latest research, the global hotel price parity monitoring market size is valued at USD 1.12 billion in 2024 and is expected to reach USD 3.17 billion by 2033, expanding at a robust CAGR of 12.3% over the forecast period. This growth trajectory is primarily driven by the escalating demand for real-time pricing intelligence, the proliferation of online travel agencies (OTAs), and the increasing focus by hotels on optimizing revenue management strategies. The market’s expansion is further fueled by the digital transformation of the hospitality sector and the growing complexity of distribution channels worldwide.

One of the central growth factors for the hotel price parity monitoring market is the intensifying competition among hotels and OTAs. As digital bookings become the norm, maintaining consistent pricing across various distribution platforms is critical for brand reputation and customer trust. Hotels are increasingly investing in advanced software and analytics tools to monitor and enforce price parity, preventing undercutting by third-party sellers. This trend is further accelerated by the rise of meta search engines and aggregators, which make price discrepancies instantly visible to consumers. As a result, the need for comprehensive price parity monitoring solutions has never been more pronounced, driving market growth across all regions.

Another significant driver is the adoption of cloud-based solutions, which offer scalability, real-time data processing, and seamless integration with existing property management systems (PMS) and revenue management systems (RMS). Cloud deployment not only reduces infrastructure costs but also enables hotels to access critical pricing data from any location, thereby enhancing operational efficiency. Furthermore, the integration of artificial intelligence and machine learning into price parity monitoring platforms is enabling predictive analytics and dynamic pricing strategies, allowing hoteliers to respond swiftly to market changes and optimize their revenue streams. These technological advancements are expected to further propel the market in the coming years.

The increasing globalization of the hospitality industry is also contributing to market expansion. As hotel chains and independent properties strive to attract international travelers, the complexity of managing pricing across multiple currencies, languages, and regional regulations becomes a formidable challenge. Price parity monitoring tools help hotels navigate these complexities by providing centralized dashboards, automated alerts, and comprehensive reporting features. This, in turn, ensures compliance with contractual agreements with OTAs and maintains a level playing field in diverse markets. The growing awareness among hoteliers regarding the financial implications of price disparities is expected to sustain the demand for these solutions throughout the forecast period.

Regionally, North America leads the hotel price parity monitoring market, driven by the high penetration of digital booking platforms and the presence of major hotel chains. Europe follows closely, benefiting from a mature hospitality sector and stringent regulatory frameworks governing online pricing. The Asia Pacific region, meanwhile, is witnessing the fastest growth, fueled by rapid urbanization, increasing internet penetration, and the burgeoning travel and tourism industry. Latin America and the Middle East & Africa are also emerging as promising markets, supported by rising investments in hospitality infrastructure and the growing adoption of technology-driven revenue management practices.

Component Analysis

The component segment of the hotel price parity monitoring market is bifurcated into software and services. The software segment dominates the market, accounting for a significant share in 2024, owing to the widespread adoption of automated solutions that streamline the process of tracking, analyzing, and enforcing price parity across multiple distribution channels. These software tools are equipped with advanced features such as real-time rate comparison, customizable reporting, and integration with existing hotel management systems. The increasing complexity of online distribution networks has made manual monitoring impractical, further driving the demand for robust software solutions. As hotels and OTAs continue to expand their digital presence, the need

Hotel Rate Shopping Market Outlook

According to our latest research, the global hotel rate shopping market size reached USD 1.43 billion in 2024, reflecting robust growth driven by the hospitality sector’s increasing reliance on dynamic pricing strategies and advanced analytics. The market is expected to expand at a CAGR of 8.7% from 2025 to 2033, reaching a projected value of USD 2.99 billion by 2033. This upward trajectory is propelled by the growing adoption of cloud-based solutions, the integration of AI-powered rate intelligence, and the escalating competition among hotels and online travel agencies (OTAs) to optimize pricing and maximize revenue.

One of the primary growth factors for the hotel rate shopping market is the hospitality industry’s accelerated digital transformation. As hotels seek to stay competitive in a rapidly evolving landscape, they are increasingly investing in sophisticated rate shopping tools that provide real-time insights into competitor pricing, market demand, and consumer trends. The proliferation of metasearch engines and OTAs has made pricing transparency a critical success factor, prompting hotels to leverage advanced software solutions for continuous price monitoring and optimization. Furthermore, the integration of machine learning and AI technologies within rate shopping platforms enables hotels to predict demand fluctuations more accurately, automate pricing decisions, and respond swiftly to market changes, thereby driving higher occupancy rates and revenue per available room (RevPAR).

Another significant driver is the rising importance of revenue management in the post-pandemic era. The hospitality sector has witnessed a paradigm shift, with hoteliers placing greater emphasis on data-driven decision-making to recover from revenue losses and adapt to changing guest preferences. Rate shopping tools have become indispensable for revenue managers, enabling them to benchmark their rates against competitors, identify pricing gaps, and implement dynamic pricing strategies. Additionally, the growing trend of personalized guest experiences and tailored pricing models is fueling the demand for granular market intelligence, further boosting the adoption of hotel rate shopping solutions. The evolution of cloud-based platforms has also democratized access to these tools, making them affordable and scalable for both independent hotels and large chains.

The expansion of online travel agencies and the increasing complexity of distribution channels represent another pivotal growth factor. OTAs and metasearch platforms have transformed the way consumers compare hotel prices, compelling hotels to maintain rate parity and competitive pricing across multiple channels. This has created a pressing need for automated rate shopping solutions that can track rates across hundreds of websites in real time, providing actionable insights for both hotels and OTAs. The growing collaboration between technology providers and hospitality brands is also fostering innovation, with new features such as predictive analytics, competitor benchmarking, and market segmentation analysis becoming standard offerings in modern rate shopping platforms.

From a regional perspective, North America continues to lead the global hotel rate shopping market, accounting for the largest revenue share in 2024. The region’s dominance is attributed to the high concentration of international hotel chains, advanced IT infrastructure, and early adoption of cloud-based revenue management systems. Europe follows closely, with a strong focus on digitalization in the hospitality sector and stringent regulatory requirements for pricing transparency. The Asia Pacific region is emerging as the fastest-growing market, driven by rapid urbanization, a booming travel industry, and increasing investments in hospitality technology. Latin America and the Middle East & Africa are also witnessing steady growth, supported by the rise of tourism and government initiatives to modernize the hospitality sector.

Component Analysis

The hotel rate shopping market is

As of the fourth quarter of 2024, the hotel price index in Denpasar in Bali province, Indonesia stood at ******. This indicated a significant increase compared to the first quarter of the same year. As the tourism industry in Bali has recovered strongly post-pandemic, hotel prices in Denpasar have shown a steady upward trend.

Switzerland Restaurants and Hotels Price Index jumped by 2.2% in 2019, compared to the previous year.

India Consumer Price Index (CPI): Miscellaneous: Hotel Lodging Charges data was reported at 125.300 2012=100 in Oct 2018. This records an increase from the previous number of 123.000 2012=100 for Sep 2018. India Consumer Price Index (CPI): Miscellaneous: Hotel Lodging Charges data is updated monthly, averaging 116.700 2012=100 from Jan 2014 (Median) to Oct 2018, with 58 observations. The data reached an all-time high of 140.700 2012=100 in Aug 2017 and a record low of 108.000 2012=100 in Feb 2014. India Consumer Price Index (CPI): Miscellaneous: Hotel Lodging Charges data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s Inflation – Table IN.IA017: Consumer Price Index: 2012=100: Miscellaneous.

The USA Hotels Dataset from Booking.com is a rich collection of data related to hotels across the United States, extracted from Booking.com. This dataset includes essential information about hotel listings, such as hotel names, locations, prices, star ratings, customer reviews, and amenities offered. It's an ideal resource for researchers, data analysts, and businesses looking to explore the hospitality industry, analyze customer preferences, and understand pricing patterns in the U.S. hotel market.

Access 3 million+ US hotel reviews — submit your request today.

Key Features:

• Hotel Information: Includes hotel names, addresses, star ratings, and descriptions.
• Pricing Data: Nightly rates, discounts, and price variations by room type and season.
• Customer Reviews: Aggregated ratings and detailed user feedback from verified guests.
• Amenities: Detailed list of amenities provided by each hotel (e.g., Wi-Fi, parking, spa, swimming pool).
• Geographical Information: Hotel locations including city, state, and proximity to major landmarks.

Use Cases:

• Sentiment Analysis: Analyze customer reviews to gauge hotel service quality and guest satisfaction.
• Price Analysis: Compare pricing across different hotels, locations, and time periods to identify trends.
• Recommendation Systems: Build recommendation engines based on customer ratings, reviews, and preferences.
• Tourism and Hospitality Research: Understand patterns in hotel demand and services across various U.S. cities.

Traveller accommodation services price index (TASPI) by client group. Monthly data are available from December 2000. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2013=100).

Hotel Rate Shopping Market Outlook

According to our latest research, the global hotel rate shopping market size in 2024 stands at USD 1.62 billion, with a robust CAGR of 10.7% projected during the forecast period from 2025 to 2033. By 2033, the market is forecasted to reach USD 4.06 billion. This impressive growth is primarily driven by the hospitality industry's increasing reliance on advanced pricing intelligence and dynamic rate management to stay competitive in a rapidly evolving digital landscape. The adoption of AI-powered solutions, real-time analytics, and seamless integration with property management systems are pivotal factors propelling this market forward, as per our comprehensive market analysis.

One of the key growth drivers in the hotel rate shopping market is the intensifying competition among hotels, resorts, and online travel agencies (OTAs) to capture price-sensitive customers. The proliferation of digital booking platforms and meta-search engines has made rate transparency a necessity, compelling hoteliers to monitor and adjust their pricing strategies in real-time. Hotels and travel companies are leveraging rate shopping tools to gain actionable insights into competitors’ pricing, promotional tactics, and inventory availability. This enables them to optimize their own rates, enhance occupancy levels, and maximize revenue per available room (RevPAR). The adoption of sophisticated rate shopping software is further fueled by the growing demand for personalized guest experiences, which require agile and data-driven pricing mechanisms.

Another significant factor contributing to the expansion of the hotel rate shopping market is the integration of cloud-based solutions and artificial intelligence. Cloud deployment offers unparalleled scalability, real-time data access, and cost-effectiveness, making it the preferred choice for both large hotel chains and independent properties. AI-powered rate intelligence platforms can process vast volumes of market data, identify pricing trends, and recommend optimal rate adjustments instantaneously. This automation reduces manual effort, minimizes pricing errors, and enables hoteliers to respond swiftly to market fluctuations. Additionally, the rise of mobile bookings and the need for omnichannel rate consistency are pushing the adoption of advanced rate shopping tools across the hospitality sector.

The growing emphasis on revenue management and competitive benchmarking is also fueling market growth. Revenue managers are increasingly relying on comprehensive rate intelligence to make informed decisions about pricing, distribution channels, and promotional strategies. By benchmarking their rates against competitors and monitoring market demand, hotels can identify opportunities to increase direct bookings and reduce dependency on OTAs, thereby improving profitability. The integration of rate shopping solutions with channel management systems further streamlines the distribution process, reduces the risk of rate parity issues, and enhances overall operational efficiency.

Regionally, North America continues to dominate the hotel rate shopping market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The high concentration of global hotel chains, tech-savvy consumers, and advanced digital infrastructure in North America has accelerated the adoption of rate shopping solutions. Asia Pacific is expected to witness the highest CAGR of 12.4% during the forecast period, driven by the rapid growth of the travel and tourism industry, increasing internet penetration, and the emergence of new hospitality players in countries like China, India, and Southeast Asia. Europe, with its mature hospitality sector and focus on digital transformation, also represents a significant growth opportunity for market players.

Component Analysis

The hotel rate shopping market is segmented by component into software and services, each playing a critical role in the overall value proposition for hoteliers. The software segment comprises advanced rate intelligence platforms, dynamic pricing engines, and integrated analytics dashboards that provide real-time competitor pricing data, market trends, and actionable insights. These platforms are increasingly leveraging artificial intelligence and machine learning to automate data collection, analysis, and rate recommendations, enabling hotels to respond proactively to market changes. The software seg

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.

The average daily rate (ADR) of the United States hotel industry was ****** U.S. dollars in 2022, reflecting an increase over the previous year. The decline in ADR in both 2020 and 2021 can be attributed to the disruptions in travel and stay-at-home restrictions implemented due to the coronavirus (COVID-19) pandemic. What is average daily rate (ADR)? 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 that are used in the lodging industry are the occupancy rate and revenue per available room (RevPAR).

View monthly updates and historical trends for UK Consumer Price Index: Hotels, Cafes and Restaurants. from United Kingdom. Source: Office for National St…