The average revenue per paying cruise passenger (ARPU) in the Netherlands was forecast to increase between 2024 and 2029 by in total 5.4 U.S. dollars (+0.48 percent). This overall increase does not happen continuously, notably not in 2026 and 2027. The arpu is estimated to amount to 1,120.98 U.S. dollars in 2029. Notably, the arpu of the 'Cruises' segment of the travel & tourism market was continuously increasing over the past years.Find other key market indicators concerning the revenue and revenue growth. The Statista Market Insights cover a broad range of additional markets.
Booking Holdings' revenue increased by 11 percent in 2024 over the previous year. In 2024, the company's total revenue, based on merchant, agency, advertising, and other types of earnings, amounted to roughly 23.7 billion U.S. dollars. That year, Booking Holdings' net income reached almost six billion U.S. dollars. A major player in the online travel market Booking Holdings is one of the key players in the global online travel industry. In 2025, booking.com, the site of Booking Holdings' flagship brand, was the most visited travel and tourism website worldwide. As the company's earnings reached a peak in 2024, other online travel agencies (OTAs) reported a similar trend. That year, Expedia Group's revenue, one of Booking Holdings' biggest competitors, also reached the highest figure reported by the company to date. What is Booking Holdings' leading business segment? Most bookings made through Booking Holdings are for room nights. In 2024, reservations of this type exceeded one billion. Meanwhile, Booking Holdings also offers transportation bookings, with over 80 million rental car days and almost 50 million airline tickets being booked through the company's websites that year.
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Booking.com Statistics: Booking.com, a subsidiary of Booking Holdings, is a leading global online travel agency headquartered in Amsterdam. As of 2024, it offers lodging reservations for approximately 3.4 million properties, including 475,000 hotels, motels, and resorts, and 2.9 million homes and apartments across over 220 countries and territories. The platform supports over 40 languages and provides flight bookings in 55 markets, along with tours and activities in more than 1,300 cities.​
In 2024, Booking.com reported a revenue of $23.7 billion, a 14% increase from the previous year. The company achieved gross bookings of $165.6 billion and facilitated 1.1 billion room nights, marking a 9% growth year-over-year. Additionally, net income per diluted share rose by 47% to $172.69, while adjusted net income per diluted share increased by 23% to $187.10.​ This article explains some of the major Booking.com statistics and events that define platform performance in 2024.
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Forecast: Turnover in Travel Agency, Tour Operator, Reservation Service and Related Activities Sector in Italy 2022 - 2026 Discover more data with ReportLinker!
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According to Cognitive Market Research, the global mobile travel booking market size will be USD 230146.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 11.50% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 92058.64 million in 2024 and will grow at a compound annual growth rate (CAGR) of 9.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 69043.98 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 52933.72 million in 2024 and will grow at a compound annual growth rate (CAGR) of 13.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 11507.33 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 4602.93 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.2% from 2024 to 2031.
The debit/credit card held the highest mobile travel booking market revenue share in 2024.
Market Dynamics of Mobile Travel Booking Market
Key Drivers for Mobile Travel Booking Market
Increased smartphone penetration to increase the demand globally
Increased smartphone penetration is significantly driving global demand for mobile travel booking. As smartphones become more affordable and accessible, a larger segment of the population can engage in mobile transactions. This surge in smartphone usage provides travelers with convenient, on-the-go access to booking platforms, enabling them to search, compare, and book travel services anytime, anywhere. Enhanced mobile technology and apps facilitate seamless travel planning and real-time updates, making travel arrangements more efficient. As smartphones become integral to daily life, their widespread adoption is expected to further fuel the growth of mobile travel booking globally, catering to an increasingly tech-savvy consumer base.
Rising demand for digital payment solutions to propel market growth
Rising demand for digital payment solutions is a key driver propelling the growth of the mobile travel booking market. Consumers increasingly prefer digital payment methods for their convenience, security, and speed. Innovations such as e-wallets, UPI, and mobile banking have made transactions more seamless and accessible, encouraging users to complete travel bookings via mobile platforms. These digital payment solutions enhance the overall user experience by offering multiple payment options and reducing transaction times. As digital payment adoption continues to rise globally, it is expected to further stimulate the mobile travel booking market, catering to the growing preference for efficient and secure payment methods.
Restraint Factor for the Mobile Travel Booking Market
Limited access to certain services to limit the sales
Limited access to certain services can constrain sales in the mobile travel booking market. While mobile platforms offer convenience, not all travel services are available or fully integrated, which can frustrate users seeking comprehensive solutions. For instance, some niche travel options or specific regional services may be excluded from mobile booking apps. This lack of coverage can drive potential customers to alternative booking methods or platforms with broader offerings. Additionally, incomplete service integration may hinder the ability to compare and book travel packages comprehensively. Consequently, these limitations can restrict market growth and affect overall user satisfaction and sales.
Impact of Covid-19 on the Mobile Travel Booking Market
The COVID-19 pandemic had a significant negative impact on the mobile travel booking market. Travel restrictions, lockdowns, and health concerns led to a sharp decline in global travel demand, resulting in decreased bookings and revenue for mobile travel platforms. Many consumers postponed or canceled travel plans, and uncertainty around travel safety further dampened market growth. Additionally, the pandemic exposed vulnerabilities in the travel industry, such as reliance on volatile global conditions and a lack of flexibility in booking policies. As a result, mobile travel booking services faced...
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Forecast: Turnover in Travel Agency, Tour Operator, Reservation Service and Related Activities Sector in Germany 2022 - 2026 Discover more data with ReportLinker!
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Forecast: Turnover in Travel Agency, Tour Operator, Reservation Service and Related Activities Sector in France 2022 - 2026 Discover more data with ReportLinker!
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Forecast: Turnover in Travel Agency, Tour Operator, Reservation Service and Related Activities Sector in the UK 2023 - 2027 Discover more data with ReportLinker!
The global average revenue per download in the 'Travel' segment of the app market was forecast to continuously increase between 2023 and 2027 by in total 0.1 U.S. dollars (+21.28 percent). According to this forecast, in 2027, the indicator will have increased for the fifth consecutive year to 0.55 U.S. dollars. Find more in-depth information regarding the number of downloads concerning the books & reference segment of the app market worldwide and the revenue concerning the books & reference segment of the app market worldwide. The Statista Market Insights cover a broad range of additional markets.
--- DATASET OVERVIEW --- Our Vacation Rental Area KPIs from Direct PM Reservation Data Integrations provides comprehensive market performance metrics for professionally managed vacation rentals sourced directly from property management systems. This dataset delivers authoritative insights into market performance based on actual reservation data rather than listing information, offering an accurate view of booking patterns, revenue generation, and operational metrics across different markets.
The data is sourced directly from property management system integrations, capturing actual reservation details rather than OTA listing information. This direct access to booking data ensures that the performance metrics reflect true market activity rather than just advertised availability or pricing. Our coverage is particularly strong in North America, Europe and Australia, with growing global representation.
--- KEY DATA ELEMENTS --- Our dataset includes the following market-level performance indicators for professionally managed vacation rentals: - Geographic Identifiers: Multiple geographic levels (vacation area, vacation region, county, etc) - Temporal Dimensions: Daily, weekly, monthly, and quarterly performance metrics - Occupancy Metrics: Actual occupancy rates based on confirmed reservations - Revenue Metrics: Total revenue, average daily rate (ADR), and revenue per available rental night (RevPAR) - Booking Patterns: Lead time distribution, length of stay patterns, and booking frequency - Reservation Channel Mix: Distribution of bookings across different reservation channels - Seasonality Indicators: Performance variations across seasons, months, and days of week - Performance Segmentation: Metrics broken down by property type, size, and price tier - Historical Pacing: Snapshots into how stay date ranges developed for tracking pacing trends - Forward Looking Trends: Area KPIs 180-365 days into the future
--- USE CASES --- Performance Benchmarking for Professional Managers: Property management companies can benchmark their portfolio performance against market-wide metrics for professionally managed properties. By comparing company-specific occupancy rates, ADR, and RevPAR against market averages for similar property types, managers can assess relative performance and identify areas for improvement. These benchmarks provide crucial context for performance evaluation and goal setting specific to professional management operations.
Operational Strategy Development: Property management operators can leverage this dataset to develop operational strategies based on industry benchmarks. The reservation patterns, lead time distributions, and cancellation metrics provide insights into optimal staffing levels, maintenance scheduling, and operational workflows. This information supports the development of efficient operational practices aligned with actual booking patterns.
Revenue Management Optimization: Revenue managers can use this dataset to develop sophisticated revenue optimization strategies based on actual booking patterns to benchmark broader, inferred information from OTAs. The detailed revenue metrics and booking patterns provide insights into rate elasticity, optimal minimum stay requirements, and the revenue impact of different pricing approaches. This information supports the development of data-driven revenue management strategies tailored to specific markets and property types.
Distribution Channel Strategy: Property managers can analyze reservation channel performance across different markets to optimize their distribution strategy. By understanding which channels deliver the highest value bookings in specific markets, managers can focus their efforts and investment on the most productive channels for their target areas and property types.
Investment Decision Support: Real estate investors focused on professionally managed vacation rentals can analyze market performance across different regions to identify investment opportunities. The dataset provides insights into revenue potential, seasonality impacts, and overall market health based on actual booking data, supporting data-driven acquisition and portfolio expansion decisions.
--- ADDITIONAL DATASET INFORMATION --- Delivery Details: • Delivery Frequency: daily | weekly | monthly | quarterly • Delivery Method: scheduled file loads • File Formats: csv | parquet • Large File Format: partitioned parquet • Delivery Channels: Google Cloud | Amazon S3 | Azure Blob • Data Refreshes: daily
Dataset Options: • Coverage: North America + Top Global Tourism Markets with Strong Coverage in Europe and Australia • Historic Data: Available (2019 for most areas) • Future Looking Data: Available (Current date + 180 days+) • Point-in-Time: Available (with weekly as of dates) • Aggregation and Filtering Options: • Area/Market (required) • Time Scales (daily, weekly, monthly) • Property Characteris...
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Forecast: Turnover in Travel Agency, Tour Operator, Reservation Service and Related Activities Sector in Brazil 2024 - 2028 Discover more data with ReportLinker!
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Since the original dataset was a real hotel dataset, of real customers, all the elements pertaining hotel or costumer identification were deleted.
All the values of the columns: 'name', 'email', 'phone number' and 'credit_card' have been artificially created using a python and filled into the dataset.
Column Descriptions for Hotel Booking Dataset
This dataset contains information on hotel bookings, encompassing details about guests, their reservations, and hotel attributes. It's a valuable resource for analysing and predicting trends in the hospitality industry.
hotel: The type of hotel, either "City Hotel" or "Resort Hotel."
is_canceled: Binary value indicating whether the booking was cancelled (1) or not (0).
lead_time: Number of days between booking and arrival.
arrival_date_year: Year of arrival date.
arrival_date_month: Month of arrival date.
arrival_date_week_number: Week number of arrival date.
arrival_date_day_of_month: Day of the month of arrival date.
stays_in_weekend_nights: Number of weekend nights (Saturday or Sunday) the guest stays.
stays_in_week_nights: Number of weekday nights (Monday to Friday) the guest stays.
adults: Number of adults.
children: Number of children.
babies: Number of babies.
meal: Type of meal booked.
country: Country of origin.
market_segment: Market segment designation.
distribution_channel: Booking distribution channel.
is_repeated_guest: Binary value indicating whether the guest is a repeated guest (1) or not (0).
previous_cancellations: Number of previous booking cancellations.
previous_bookings_not_canceled: Number of previous bookings not cancelled.
reserved_room_type: Code of room type reserved.
assigned_room_type: Code of room type assigned at check-in.
booking_changes: Number of changes/amendments made to the booking.
deposit_type: Type of deposit made.
agent: ID of the travel agency.
company: ID of the company.
days_in_waiting_list: Number of days in the waiting list before booking.
customer_type: Type of booking.
adr: Average daily rate.
required_car_parking_spaces: Number of car parking spaces required.
total_of_special_requests: Number of special requests made.
reservation_status: Reservation last status.
reservation_status_date: Date of the last status.
name: Guest's name. (Not Real)
email: Guest's email address.(Not Real)
phone-number: Guest's phone number. (Not Real)
credit_card: Guest's credit card details. (Not Real)
Explore this dataset to gain insights into booking trends, cancellations, and guest behaviour in the hotel industry.
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The Hotel Booking Engine System market, valued at $16,920 million in 2025, is projected to experience robust growth, driven by the increasing adoption of online booking platforms by hotels of all sizes and the escalating demand for seamless, user-friendly online booking experiences. The market's Compound Annual Growth Rate (CAGR) of 6.4% from 2025 to 2033 indicates a significant expansion opportunity. This growth is fueled by several key factors. The rise of mobile-first booking, the increasing preference for direct bookings to avoid commission fees, and the ongoing integration of advanced technologies like AI-powered personalization and revenue management tools are all contributing to market expansion. Segmentation within the market reveals a strong demand across various hotel types, with luxury, mid-range, and boutique hotels actively seeking sophisticated booking systems. The prevalence of cloud-based solutions over web-based ones reflects the industry's preference for scalability, flexibility, and cost-effectiveness. Competitive landscape analysis shows a diverse range of established players and innovative startups vying for market share, leading to continuous product innovation and improved functionalities. Regional variations are expected, with North America and Europe initially holding significant shares, followed by a steady increase in adoption across Asia Pacific and other emerging markets. The competitive landscape features both established players like Sabre (SynXis), Amadeus, and Oracle, along with several smaller, agile companies such as Cloudbeds, SiteMinder, and HotelRunner. This mix fosters innovation and competition, leading to improved features and pricing models. The market's future will likely be shaped by the integration of emerging technologies like blockchain for enhanced security and improved data analytics for better revenue management. Furthermore, the growing importance of personalized user experiences and the need for seamless integration with other hotel management systems will be crucial factors influencing system development and adoption. The forecast period will likely witness increased consolidation as larger companies acquire smaller players and further innovations in areas such as artificial intelligence and machine learning integrated into booking engines.
--- DATASET OVERVIEW --- This dataset provides critical insights into market pricing dynamics, availability patterns, and booking trends with AI-enhanced forecasting capabilities for vacation rental properties across global markets. With daily updates and extensive coverage, it provides a detailed view of pricing strategies, demand patterns, and market positioning for properties across different segments and regions.
The data is sourced directly from major OTA platforms using advanced collection methodologies that ensure high accuracy and comprehensive coverage. Our proprietary algorithms enhance the raw data with AI and machine learning driven booking probability predictions, enabling users to anticipate future booking patterns and occupancy levels with increased precision.
--- KEY DATA ELEMENTS --- Our dataset includes the following core performance metrics for each property: - Property Identifiers: Unique identifiers for each property with OTA-specific IDs - Geographic Information: Location data including neighborhood, city, region, and country - Property Characteristics: Property type, bedroom count, bathroom count, and capacity - Quoted Rates: Price points for each available date - Minimum Stay Requirements: Minimum night requirements for different booking periods - Availability Status: Available/unavailable including guest stay detection for each calendar date - Key Pricing Patterns: Price variations across different seasons and months as well as event driven and other high-demand periods. - Price Positioning: Relative price positioning compared to similar properties in the same area - Historical Price Trends: Price changes over time for the same property and dates
--- USE CASES --- Revenue Management Optimization: Property managers and revenue specialists can leverage this dataset to develop sophisticated dynamic pricing strategies. By analyzing how similar properties adjust pricing based on seasonality, day of week, and market demand, managers can optimize their own pricing to maximize revenue without sacrificing occupancy. The AI-detected guest bookings provide the best context for expected demand, allowing for more precise rate adjustments during different booking windows.
Demand Forecasting and Trend Analysis: Market analysts and tourism organizations can use this dataset to forecast demand patterns across different destinations. The comprehensive availability data, coupled with AI-detected guest bookings, enables accurate prediction of occupancy trends, booking pace, and seasonal fluctuations. These insights support capacity planning, marketing timing, and resource allocation decisions.
Competitive Benchmarking: Property owners and managers can benchmark their pricing and availability strategies against competitors in the same market. The dataset allows for detailed comparison of pricing strategies, minimum stay requirements, and booking pace across similar properties. This competitive intelligence helps identify opportunities for market positioning adjustments and pricing optimization.
Investment Decision Support Real estate investors focused on the vacation rental sector can analyze pricing and occupancy patterns across different markets to identify investment opportunities. The dataset provides insights into rate potential, seasonal demand variations, and overall market performance, supporting data-driven acquisition and portfolio expansion decisions.
Market Entry Analysis Companies considering entering new vacation rental markets can utilize this dataset to understand pricing dynamics, seasonality impacts, and demand patterns before committing resources. The comprehensive pricing and availability data reduces market entry risk by providing clear visibility into potential revenue opportunities and competitive positioning requirements.
Economic Impact Studies Researchers and economic development organizations can leverage this dataset to analyze the economic impact of vacation rentals on local communities. By tracking pricing trends, occupancy patterns, and overall inventory utilization, researchers can quantify the contribution of the vacation rental sector to local economies and tax bases.
--- ADDITIONAL DATASET INFORMATION --- Delivery Details: • Delivery Frequency: daily | weekly | monthly • Delivery Method: scheduled file deliveries • File Formats: csv | parquet • Large File Format: partitioned parquet • Delivery Channels: Google Cloud | Amazon S3 | Azure Blob • Data Refreshes: daily
Dataset Options: • Coverage: Global (most countries) • Historic Data: Available (2021 for most areas) • Future Looking Data: Available (Current date + 180 days+) • Point-in-Time: Not Available • Aggregation and Filtering Options: • Area/Market • Time Scales (daily, weekly) • Listing Source • Property Characteristics (property types, bedroom counts, amenities, etc.) • Management Practices (professionally managed, by o...
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European Air Transport; Accommodation; Travel Agency, Tour Operator Reservation Service Turnover Index by Country, 2022 Discover more data with ReportLinker!
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The global market for hotel direct booking software is experiencing robust growth, driven by the increasing need for hotels to reduce reliance on Online Travel Agencies (OTAs) and recapture direct bookings. The shift towards personalized guest experiences and the desire for greater control over pricing and branding are key factors fueling this expansion. While precise market sizing requires specific data, a reasonable estimate based on industry trends suggests a 2025 market value in the range of $500 million to $750 million, with a Compound Annual Growth Rate (CAGR) of 15-20% projected through 2033. This growth is fueled by several key drivers: the rising adoption of sophisticated revenue management systems integrated with direct booking platforms, the increasing popularity of personalized marketing and email automation tools, and the continuing development of user-friendly interfaces for both hotels and guests. The market is segmented by software features (e.g., booking engine, channel management, revenue management), hotel size (independent, chains), and geographical region. Competitive pressures remain high, with established players like TripAdvisor and emerging innovative companies constantly vying for market share. The competitive landscape is dynamic, with a range of solutions catering to diverse hotel needs. Established players such as TripAdvisor leverage their brand recognition and existing user base to maintain market dominance, while smaller, specialized companies focus on niche segments and innovative features. Challenges include the ongoing investment required for software development, integration complexities with existing hotel systems, and the need to continually adapt to evolving guest expectations and technological advancements. Furthermore, the market faces restraints such as the initial cost of implementation for smaller hotels and the ongoing need for technical support and training. However, the long-term benefits of increased direct bookings, higher revenue, and improved guest relationships significantly outweigh these challenges, ensuring the continued growth of the hotel direct booking software market.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 4.67(USD Billion) |
MARKET SIZE 2024 | 4.9(USD Billion) |
MARKET SIZE 2032 | 7.2(USD Billion) |
SEGMENTS COVERED | Deployment Type, Application, End Use, Component, Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | increased online booking demand, integration with property management systems, rising competition among hotels, focus on user experience, adoption of cloud-based solutions |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Hotelogix, Amadeus IT Group, Travelport, eZee Technosys, Sabre Corporation, Cloudbeds, Shiji Group, SiteMinder, Guestline, RoomRaccoon, Pegasus Solutions, Revinate, Mews Systems, Intelity, Oracle Hospitality |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Cloud-based solutions adoption, Mobile reservation technology integration, Enhanced data analytics capabilities, Personalization through AI tools, Expansion in emerging markets |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 4.93% (2025 - 2032) |
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The global travel agency software market is experiencing robust growth, driven by the increasing adoption of technology by travel agencies to enhance operational efficiency, customer experience, and revenue generation. The market's expansion is fueled by several key factors. The rising popularity of online travel bookings necessitates sophisticated software solutions capable of managing complex itineraries, integrating with various booking platforms, and providing real-time updates. Furthermore, the demand for personalized travel experiences is driving the development of advanced software with features like AI-powered recommendation engines and dynamic pricing capabilities. The market is segmented by deployment (cloud-based and on-premise), functionality (booking management, customer relationship management (CRM), and revenue management), and agency size (small, medium, and large). While initial investments in software can be a restraint for smaller agencies, the long-term benefits in terms of cost savings, increased bookings, and improved customer satisfaction are compelling drivers for adoption. The competitive landscape is characterized by a mix of established players and emerging startups, each offering specialized solutions catering to different market segments. Consolidation within the sector is also a discernible trend, with larger companies acquiring smaller ones to expand their product portfolios and market reach. The continued growth of the online travel market and the increasing sophistication of customer expectations will shape the future trajectory of the travel agency software market, resulting in ongoing innovation and competition. The forecast period of 2025-2033 is expected to witness significant market expansion. Assuming a conservative CAGR of 10% (a reasonable estimate considering the industry growth and technological advancements), a 2025 market size of $2 billion (a logical assumption based on market size trends of similar tech sectors), and a value unit of millions of US dollars, the market is poised for substantial growth. Key players are focusing on developing user-friendly interfaces, integrating with emerging technologies like blockchain for secure transactions, and leveraging data analytics to offer personalized services. Regions such as North America and Europe are expected to dominate the market share, but the Asia-Pacific region is witnessing rapid growth due to rising internet penetration and increasing demand for travel services. The focus on enhancing security measures to combat fraud and data breaches will further influence the market's growth trajectory. The evolution of software solutions towards AI-powered platforms, offering advanced analytics and predictive capabilities, will be crucial in driving market expansion in the years to come.
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Global Online Hotel Booking market size 2025 was XX Million. Online Hotel Booking Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.
According to 2023 estimates, Booking Holdings' global revenue was evenly split between mobile and desktop bookings. As estimated, the online travel agency (OTA) generated revenue of roughly **** billion U.S. dollars through mobile devices and **** billion U.S. dollars via desktop bookings. In contrast, it was estimated that most of the Expedia Group and Airbnb's revenue came from desktop users that year. What are the most visited travel and tourism websites? In January 2024, booking.com topped the ranking of the most visited travel and tourism websites worldwide, ahead of tripadvisor.com and airbnb.com. When breaking down the visits to booking.com by country that month, the United States emerged as the leading market, followed by the United Kingdom and Germany. What are the most popular online travel agency apps worldwide? In 2024, Airbnb, Booking.com, and Expedia were among the most downloaded online travel agency apps worldwide. Booking.com is one of the leading brands of Booking Holdings, along with Priceline, Agoda, and Kayak. Meanwhile, Expedia is among the most popular brands of the Expedia Group, together with Vrbo, Hotels.com, and Trivago.
The average revenue per paying cruise passenger (ARPU) in the Netherlands was forecast to increase between 2024 and 2029 by in total 5.4 U.S. dollars (+0.48 percent). This overall increase does not happen continuously, notably not in 2026 and 2027. The arpu is estimated to amount to 1,120.98 U.S. dollars in 2029. Notably, the arpu of the 'Cruises' segment of the travel & tourism market was continuously increasing over the past years.Find other key market indicators concerning the revenue and revenue growth. The Statista Market Insights cover a broad range of additional markets.