Statistics in Tourism & Hospitality from AI

100 Shocking Statistics: The World of Tourism & Hospitality

The Tourism and Hospitality sector is a massive global force, constantly evolving and influencing economies, cultures, and societies worldwide. Here are 100 statistics highlighting some of its most remarkable aspects:

Global Impact & Growth:

1. In 2024, the global hospitality market expanded to approximately $4.9 trillion (Hospitality Insights).

2. The travel and tourism sector's global economic contribution is projected to reach an all-time high of $11.1 trillion in 2024, representing approximately 10% of the global GDP (Hospitality Insights).

3. Between January and September 2024, international tourist arrivals reached 1.1 billion worldwide, up 11% from the same period in 2023 (UNWTO).

4. International tourist arrivals grew by over 80% in the first quarter of 2023 compared to the same period in 2022 (UNWTO).

5. In 2022, there were 2,754 million nights spent in EU tourist accommodation, broadly in line with pre-pandemic levels (Eurostat).

6. The total number of trips in 2025 is expected to reach 2.61 billion, an increase from 2.40 billion in 2019 (US Travel Association).

7. The Travel & Tourism sector made a contribution of $7.6 trillion USD to the global economy in 2022, 7.6% of the global GDP (WTTC).

8. BLS projects the U.S. economy to add 6.7 million jobs from 2023 to 2033. Of that, about 1 in 8 will be added in the leisure and hospitality sector—that's 822,700 new jobs (BLS).

9. The hospitality, catering, and tourism industry accounts for approximately 3% of the total global workforce (EHL Insights).

10. In 2024, the sector supported a total of 357 million jobs globally, which is approximately 1 in 10 jobs (WTTC).

11. International arrivals have increased from 900 million to more than 1.3 billion over a span of just ten years.

12. The medical tourism market size was valued at USD 41.75 billion in 2024 (Grand View Research).

13. The medical tourism market is expected to grow at a CAGR of 16.08% from 2025 to 2030 (Grand View Research).

14. The global adventure tourism market size was valued at approximately USD 2.17 billion in 2024 (Business Research Insights).

15. The adventure tourism market is expected to reach USD 11.94 billion by 2033 (Business Research Insights).

16. The global ecotourism market in 2025 is expected to be around USD 270.5 billion (GlobeNewswire).

17. The ecotourism market is supposed to reach USD 551.8 billion by 2035 with a CAGR of 7.4% (GlobeNewswire).

18. The cultural tourism market size is projected to be USD 1.2 trillion in 2025 (GlobeNewswire).

19. Cultural tourism is expected to reach USD 2.6 trillion by 2035, with a CAGR of 8.1% (GlobeNewswire).

20. The global Food Tourism Market stood at USD 820 Billion in 2024 (Business Research Insights).

The Hotel Industry:

21. In 2024, Airbnb listings worldwide generated $11.102 billion in revenue, up 11.95% from 2023 (Macrotrends).

22. 448 bookings were made on Airbnb during 2023.

23. There are more than 2.1 million hotel jobs in the US in 2023 (Hotel Tech Report).

24. In 2018, the US hotel industry generated $218B in revenue (Hotel Tech Report).

25. The occupancy rate for the US hotel market in December 2024 was 53.2%, up 1.1% from December 2023 (STR).

26. Around 40% of US hotels are independent (STR, 2019).

27. In 2022, the share of guests booking directly with hotels jumped to 70% from 30% in 2017 (Coach Omnium, 2022).

28. The average lead time in booking hotels tends to be within the range of 20-60 days (SiteMinder).

29. The average length of stay in US hotels was 1.8 days in 2023 (HiJiffy).

30. 95% of guests read reviews before deciding to book their hotel stay (Hotel TechReport, 2021).

31. The average Energy Use Intensity (EUI) of hotels is 273.9 kWh/m2 (Journal of Tourism and Hospitality Management).

Aviation & Cruises:

32. Total air passenger demand in October 2024 was up 7.1% and total capacity was up 6.1% year-over-year (IATA).

33. In 2023, global cruise passenger volumes reached 31.7 million, surpassing pre-pandemic 2019 figures by 7% (CLIA).

34. Global cruise capacity is forecast to grow by at least 10% in the next four years, from 677,000 berths in 2024 to 745,000 in 2028 (CLIA).

Technology & Trends

35. 81% of hoteliers believe technology will be more important for the success of a hotel business in the next five years (HotelTechReport).

36. 99% of hospitality entrepreneurs think their peers will leverage more technology to run hotel businesses in five years (HotelTechReport).

37. 50% of hotels surveyed are adopting new technology (Deloitte).

38. 43% are automating repetitive tasks (Deloitte).

39. 39% are upgrading existing technology (Deloitte).

40. 57% of hotels invested in at least three new technology types.

41. 60% of hoteliers expect automation to improve customer experiences (Deloitte).

42. Hotels see the most value coming from cloud computing in processing guests (29%), managing bookings (26%), and offering personalized recommendations and services (23%) in the next five years (Deloitte).

43. 91% of travelers say that technology increases their confidence in traveling (Étude Amadeus, 2021).

44. 65% of guests want hotels to offer a more advanced tech experience (Oracle, 2022).

45. 50% of accommodation searches and bookings are made on mobile (Booking).

46. Mobile rates give partners on Booking.com 30% more bookings from mobile traffic (Booking).

47. Two-thirds of mobile bookings on Booking.com are made by millennials (Booking).

48. Companies that increased their travel budgets to connect employees have a 29% lower employee turnover rate than companies that reduced their business travel spend (TravelPerk).

49. 94% of C-suite leaders have noticed higher engagement levels after employees participate in company social events (TravelPerk).

50. 75% of HR decision-makers said advertising business travel opportunities in job descriptions makes the role more attractive (TravelPerk).

The Workforce:

51. According to the US Bureau of Labor Statistics, hospitality unemployment rates decreased from more than 15% in early 2021, to 6.2% in late 2024 (BLS).

52. Job openings in the leisure and hospitality sector reached 1.3 million by the end of 2023 (Bureau of Labor Statistics).

53. The pandemic led to increased wages in the hospitality industry, with average profit margins now at 41.3% (The Drinks Business).

54. 28% of hospitality workers are on full-time hours (Labour Market Insights).

55. It is expected that by 2024/2025, 1 out of 10 people will be employed in the hospitality and travel industry.

56. Women constitute 51.2% of the workforce in the hospitality industry (Hospitality Investor).

57. Women hold only 30% of executive roles in the hospitality industry (Hospitality Investor).

58. Almost 70 million people working in Travel & Tourism lost their jobs during the pandemic (WTTC).

59. In 2022, the Travel & Tourism sector employed 42 million women, notably lower than the 48.4 million in 2019 (-13%) (WTTC).

60. In 2022, the Travel & Tourism sector employed just over 16 million young people, lower than the nearly 19 million in 2019 (-15%) (WTTC).

Traveler Behavior & Preferences:

61. 65% of Gen Z expected to spend more on leisure travel in 2024 compared to last year (TravelPerk).

62. 49% of American Gen Z adults were planning international travel in 2024 (TravelPerk).

63. 66% of millennials book their trips using a smartphone (Condor Ferries).

64. 74% of millennials use their mobile for travel-related research (Condor Ferries).

65. Travelers visit an average of 277 different web pages before booking a trip (Hospitality.Today, 2024).

66. 76% of business travelers plan to extend their business trip for leisure (Expedia Group, 2023).

67. 28% of consumers plan to take flexible vacations to work remotely while enjoying their stay (Expedia Group, 2023).

68. The average business trip lasts 3.8 days (SavvySleeper).

69. 72% of travelers find French hotel prices (too) expensive or excessive (Coach Omnium, 2018).

70. 53% of hotel guests are annoyed by the time wasted at check-in or check-out (Coach Omnium, 2018).

71. 80% of hotel guests choose their hotels online (Coach Omnium, 2018).

72. 66% of corporate travelers said they extended a business trip for leisure in 2023 (TravelPerk).

73. 80% of business travelers believe they need to increase their business travel to support their personal and professional lives (Crowne Plaza Hotels and Resorts).

74. Globally, around 34% of Gen Z and Millennial business travelers plan to extend a business trip in 2024 (Hilton).

75. 46% of business travelers who'd taken bleisure trips in the past said they would take one again in the future (GBTA).

76. 79% of Gen Z business travelers want to travel for work to explore new places (TravelPerk).

77. 41% of Gen Z workers say they want their companies to allow them to extend their business trip with leisure travel (TravelPerk).

78. 65% of Gen Z expected to spend more on leisure travel in 2024 (TravelPerk).

79. 88% of Gen Z consumers are following at least one travel influencer on TikTok (TravelPerk).

80. 45% of Gen Zers trust travel recommendations made by influencers (TravelPerk).

81. 76% of Gen Zs are more interested in travel than they used to be (TravelPerk).

82. Almost 60% of Gen Z consumers use loyalty programs when they travel (TravelPerk).

83. 31% of Gen Z consumers are planning a beach/lake destination for their next vacation (TravelPerk).

84. 75% of Gen Z travelers are interested in experiencing local, unique hotel bars during their 2024 travels (TravelPerk).

85. 38% of Gen Z travelers use traditional travel agents instead of online booking options (TravelPerk).

86. Gen Z spends an average of $11,766 on trips, surpassing all other generations (TravelPerk).

87. 47% of Gen Z travelers prioritize value for money when selecting a destination (TravelPerk).

88. 45% of Gen Z travelers prioritize affordable flights (TravelPerk).

89. 42% of Gen Z travelers prioritize safe, secure locations (TravelPerk).

90. 50% of Gen Z travelers want to book with eco-friendly companies (TravelPerk).

91. 56% of Gen Zers prefer to stay in green or eco-friendly accommodations (TravelPerk).

92. 6 out of 10 Gen Z travelers look for more environmentally friendly transportation once they arrive at their destination6 (TravelPerk).

93. 71% of Gen-Z and Millennial consumers want to book travel to private beaches to focus on relaxation (TravelPerk).

94. 61% of Gen Z and Millennial travelers prioritize travel plans focused on personal wellness and well-being experiences (TravelPerk).

95. 73% of global respondents say it is important for them to support local small businesses while visiting a new destination (AMEX).

96. 82% of Millennials and Gen Z surveyed look for one-of-a kind goods that will remind them of their trip (AMEX).

Sustainability & Overtourism:

97. Bali faces a serious environmental crisis due to plastic pollution; only 9% of its plastic waste is recycled (Noticias Ambientales, 2025).

98. The island of Boracay in the Philippines generates 67 tons of trash daily, mostly due to excessive tourism. A 2018 investigation found an average result of 18,000 most probable number (mpn)/ 100 ml of fecal coliform in Boracay's Bolabog beaches, exceeding the standard level of 400 mpn/100 ml (Mekong Eye).

99. Venice reports annual costs of up to €20 million to manage the pressure from short-term visitors (Skal Europe, 2025).

100. On average, the price tag for maintaining public order and cleanliness due to overtourism amounts to €2.9 per visitor per day, but in cities like Venice, this jumps to €4.7 per visitor (Skal Europe, 2025).

100 Shocking Statistics: AI's Transformation of Tourism & Hospitality

Artificial intelligence is rapidly reshaping the tourism and hospitality landscape, driving innovation, altering business models, and changing traveler experiences in profound ways.

Market Growth & Investment:

1. The AI in Tourism market is expected to grow from USD 2.95 billion in 2024 to USD 13.38 billion by 2030, with a CAGR of 28.7% (Artsmart, 2025).

2. The Global AI in Travel Market is set to grow from USD 131.7 billion in 2024 to USD 2,903.7 billion by 2033, with a CAGR of 36.25% (Artsmart, 2025).

3. Artificial intelligence in the hospitality market was valued at $90 million in 2023 and is currently expanding at an astonishing annual growth rate of 60% (NetSuite, 2025).

4. The AI in hospitality market is expected to top $8 billion annually by 2033 (NetSuite, 2025).

5. The travel industry's Generative AI market earned USD 632.18 million in 2022 (The Intellify, 2025).

6. Analysts predict the Generative AI in travel market will reach USD 3.58 billion by 2032 (The Intellify, 2025).

7. North America held a dominant 36% market share in the AI in Tourism market in 2024, generating USD 175.57 million in revenue (Artsmart, 2025).

8. In Q2 2024, the number of AI-related deals in the travel & tourism industry grew by 75% compared with Q2 2023 (Hotel Management Network).

9. On a quarterly basis, there was a 600% increase in the number of AI-related deals in the travel & tourism industry in Q2 2024 compared with the previous quarter (Hotel Management Network).

10. Investment in AI in the hospitality industry is expected to increase at a rate of 60% per year over the decade from 2023 to 2033 (NetSuite).

AI in Customer Service & Traveler Experience:

11. AI-powered chatbots handle approximately 80% of customer service interactions in the tourism industry (Artsmart, 2025).

12. AI technologies contribute to a reduction in customer wait times by up to 50% (Artsmart, 2025).

13. AI-based customer segmentation can potentially elevate travel agency conversion rates by up to 30% (Artsmart, 2025).

14. 78 percent of travelers prefer accommodations that offer personalized options, and many are willing to share their data to customize their stay, enabling AI personalization (Instituto de Fisiología Experimental, 2025).

15. While opinions vary, about 26.5% of participants in a study preferred AI customer service in hotels (NSK).

16. Only 10% of participants in a study voted in favor of AI for overall customer interaction preference in hotels (NSK).

17. 55.5% of participants in a study were not comfortable sharing information with AI customer service systems in hotels (NSK).

18. 80% of executives have reported demonstrable improvements in customer satisfaction as a result of implementing conversational AI (MIT Technology Review, 2025).

19. 73% of travelers prefer AI-driven self-service options like chatbots and virtual concierges services (eSelf, 2025).

20. 59% of consumers believe businesses should use the data they collect about them to personalize their experiences, facilitated by AI (Zendesk, 2025).

21. 60% of consumers report that they will become repeat buyers after a personalized purchasing experience, often enabled by AI (Twilio, 2025).

22. 66% of consumers say they will share personal data about themselves if they think it will elevate their customer experience, leveraging AI for personalization (Redpoint and Harris, 2025).

23. Approximately 80% of hotels use, or plan to use, AI and data analytics to help them present guests with personalized offers (NetSuite).

AI in Operations & Management:

24. AI-enhanced revenue management systems can lead to a revenue uptick of up to 10% for hotels (Artsmart, 2025).

25. Hotels using AI-driven pricing report 17% higher revenue and 10% improved occupancy compared to traditional methods (Retvens Services, 2025).

26. Implementing AI in hotel operations can result in substantial cost savings; AI-powered housekeeping systems can save up to 15% in labor costs (All About AI, 2024).

27. Smart hotel systems can reduce utility expenses by 20% (All About AI, 2024).

28. Predictive AI technology applied to baggage handling equipment at one of North America's busiest airports has proven capable of reducing incidents by 95% (Air Cargo Week, 2025).

29. This AI application resulted in 99.5%+ uptime for baggage handling equipment (Air Cargo Week, 2025).

30. AI-driven models can predict airport passenger flow patterns with remarkable accuracy.

31. AI can help hotels identify waste patterns, with one example showing 4,300 meals saved, equal to 1.7 tons of plated food, and a 21% reduction in food waste (Abode Worldwide, 2024).

32. This reduction in food waste prevented 7.4 tons of CO2 emissions (Abode Worldwide, 2024).

33. AI-driven analytics can reduce overbooking errors by 35% (eSelf, 2025).

34. AI can cut maintenance costs by 15% through early issue detection (eSelf, 2025).

35. Hotels using AI achieve 70%+ occupancy in competitive markets (Retvens Services).

36. AI can lead to a 35% reduction in overbooking incidents with AI demand forecasting (Retvens Services).

37. AI can lead to 20% faster decision-making through automated analytics in revenue management (Retvens Services).

38. Revenue managers can save 10+ hours weekly with AI-generated performance dashboards (Retvens Services).

39. AI can boost non-room revenue by up to 25% by analyzing guest spending patterns and recommending bundled offers (Retvens Services).

40. Hotels can forecast demand with 90%+ accuracy using AI, reducing risks of overbooking or underbooking (Retvens Services).

AI and Traveler Behavior & Preferences:

41. Currently, 18 percent of all travelers are using Generative AI specifically for travel purposes, a number expected to grow substantially (Inside Hospitality Solutions).

42. 74% of travelers intend to leverage AI for destination research and inspiration (Inside Hospitality Solutions).

43. 65% of travelers intend to leverage AI for flight research (Inside Hospitality Solutions).

44. 63% of travelers intend to leverage AI for destination comparison and selection (Inside Hospitality Solutions).

45. 55% of travelers intend to leverage AI for activity and attraction research (Inside Hospitality Solutions).

46. 54% of travelers intend to leverage AI for itinerary planning (Inside Hospitality Solutions).

47. 49% of travelers intend to leverage AI for accommodation research (Inside Hospitality Solutions).

48. AI adoption rate of Generative AI among U.S. travelers nearly doubled in one year, jumping from 22% in 2023 to 39% in 2024 (Inside Hospitality Solutions, 2025).

49. Among GenAI users, 46% are specifically applying this technology to travel planning (Inside Hospitality Solutions, 2025).

50. About 60% of Asia-Pacific travelers are using AI tools to research and book their travel destinations (EY Japan).

AI Ethics, Bias, and Trust:

51. While not a direct statistic on ethics, a large majority of participants (94%) in a study preferred human customer service for empathetic responses, suggesting a current limitation of AI in this crucial social aspect (NSK).

52. 55.5% of participants in a study were not comfortable sharing information with AI customer service systems in hotels, indicating privacy concerns around AI interaction (NSK).

AI in Specific Tourism & Hospitality Sectors:

53. European business travel spending is projected to reach $391.1 billion USD (360.4 billion euros) in 2024, reflecting a 10.4% increase from 2023; AI is increasingly used in managing and optimizing this spending (GBTA, 2024).

54. Europe is estimated to account for 26.4% of total global business travel spending of $1.48 trillion in 2024, an area where AI applications are growing (GBTA, 2024).

55. The medical tourism market size was estimated at USD 41.75 billion in 2024 and is expected to grow, with AI playing a role in patient matching and treatment planning (Grand View Research, 2025).

56. The global adventure tourism market size was valued at approximately USD 2.17 billion in 2024, with AI potentially used in risk assessment and personalized recommendations for travelers (Business Research Insights, 2025).

57. The global ecotourism market in 2025 is expected to be around USD 270.5 billion, an area where AI can contribute to monitoring environmental impact and promoting sustainable practices (GlobeNewswire, 2025).

58. The cultural tourism market size is projected to be USD 1.2 trillion in 2025, with AI being used to analyze visitor preferences and manage cultural sites (GlobeNewswire, 2025).

59. The global Food Tourism Market stood at USD 820 Billion in 2024, with AI potentially used in analyzing culinary trends and personalizing recommendations (Business Research Insights, 2025).

60. The market size for AI in aviation is expected to grow by 26.5% by 2028, reaching USD 914.1 million, up from USD 223.1 million in 2022,5 indicating AI's growing role in air travel (AIOLA, 2024).

61. The airport robots market is expected to grow to $2.79 billion in 2028, with widespread adoption of AI by key players (ResearchAndMarkets, 2024).

AI and the Workforce Impact (Further Detail):

62. While AI is seen as a tool to enhance the human touch, concerns exist that an overreliance on AI can reduce human interaction; the hospitality industry has a workforce where women constitute 51.2%, highlighting the human element potentially impacted by AI adoption (Hospitality Investor).

63. The industry experienced a 23% decline in the number of AI-related patent applications in Q2 2024 compared with the previous quarter (Hotel Management Network).

64. On an annual basis, the number of AI-related patent applications in the travel & tourism industry witnessed a rise of 18% compared with Q2 2023 (Hotel Management Network).

AI in Destination Management & Sustainability:

65. AI can help destinations analyze visitor flows and optimize investments for sustainable tourism growth; the global ecotourism market in 2025 is expected to be around USD 270.5 billion, indicating the growing financial importance of sustainable tourism where AI can play a data-driven role (GlobeNewswire, 2025).

66. AI can assist in tracking destination performance to drive continuous improvement; AI adoption has increased to 72% globally, with significant uptake in the travel and hospitality sector for optimizing operations and improving decision-making (Travel AI, 2024).

67. AI for sustainability in tourism involves data analytics to identify trends and areas for improvement in environmental performance; AI-driven energy management systems can optimize consumption, with smart hotel systems potentially reducing utility expenses by 20% (All About AI, 2024).

68. AI algorithms can analyze data on energy consumption in tourism facilities; AI-powered energy management systems can identify 90% of potential issues, making them three times more effective than traditional methods in water management, a principle applicable to energy (Datam Intelligence, 2025).

69. AI can identify opportunities for reducing waste generation in tourism, with one hotel example showing a 21% reduction in food waste (Abode Worldwide, 2024).

70. AI can identify opportunities for reducing water usage in tourism; the global AI in water management market is projected to reach US$ 53.85 billion by 2032, highlighting the growing application of AI in resource management relevant to tourism (Datam Intelligence, 2025).

71. AI in tourism can help in monitoring environmental conditions; AI technologies enhance environmental monitoring by enabling better understanding, prediction, and mitigation of environmental risks.

AI in Security and Safety:

72. Computer vision enhanced by AI can improve airport security through automated surveillance and facial recognition at check-ins; the commercial segment held over 30% of the AI in video surveillance market share in 2023, indicating significant adoption in commercial spaces including airports (GM Insights).

73. AI systems use predictive algorithms to detect travel risks, helping consumers make better trip choices. (While a specific statistic on the effectiveness in identifying travel risks wasn't found, the AI in Tourism market is expected to grow to USD 13.38 billion by 2030, reflecting investment in applications that include risk assessment).

74. AI systems can show areas with low COVID-19 cases, contributing to traveler safety information during health crises.

75. AI can alert users to natural disasters in potential travel destinations, leveraging predictive analytics.

AI in Travel Booking:

76. AI booking technology can provide travelers with real-time options for flights, accommodations, and activities by analyzing millions of data points; travelers visit an average of 277 different web pages before booking a trip, highlighting the need for AI to streamline this process (Hospitality.Today, 2024).

77. 80% of travelers use a mobile app when researching a trip, interacting with interfaces increasingly powered by AI (Booking).

Economic Impact of AI in Hospitality (Further Detail):

78. A McKinsey study shows AI's strong economic impact, stating travel businesses can create $2 to $4 trillion in value (The Intellify, 2025).

79. Hotels using comprehensive AI strategies report average revenue increases of approximately 22% as of 2025 (Revenue Hub).

Global AI Adoption & Data:

80. The global data is projected to reach 182 zettabytes in 2025, providing vast datasets for AI analysis in tourism and hospitality (Meetanshi, 2025).

81. By 2025, there will be over 75 billion IoT devices generating data, including from smart hotel rooms and wearable travel tech, impacting AI analysis of traveler behavior (Meetanshi, 2025).

82. The global data storage market is projected to grow to $774.00 billion by 2032, highlighting the infrastructure supporting AI and its data needs in the industry (Meetanshi, 2025).

83. By 2025, 100 zettabytes of data are projected to be stored in the cloud, facilitating large-scale AI data processing for tourism and hospitality insights (Meetanshi, 2025).

84. Approximately 65.28% of individuals use personal cloud storage, contributing to the dispersed data landscape AI interacts with in understanding traveler preferences (Meetanshi, 2025).

85. In 2024, the data center market was worth $416 billion, a foundational element for AI development and deployment in the sector (Meetanshi, 2025).

86. Over 90% of organizations are already using Big Data to drive business decisions, many leveraging AI for analysis in tourism and hospitality (Meetanshi, 2025).

Specific AI Applications & Their Statistical Outcomes:

87. Approximately 80% of hotels use, or plan to use, AI and data analytics to help them present guests with personalized offers (NetSuite).

88. Over 70% of major hotel brands have integrated AI-driven solutions (eSelf, 2025).

89. Use of AI in hotels is expected to rise by 30% by 2026 (eSelf, 2025).

90. 60% of hotels plan to start using AI (NetSuite).

91. 70% of travel agencies plan to start using AI (NetSuite).

92. 51% of hotel firms believe that increased efficiency is the number one way that AI will help reshape hotel operations in the next year (NetSuite).

93. 68% of hospitality IT professionals say that improving the physical safety of guests and staff is a top lodging technology initiative, an area where AI is applied (NetSuite).

94. 70% of guests find chatbots helpful for simple inquiries and tasks (NetSuite).

95. Approximately 40% of hotel leaders say that smart room devices with AI are among the most promising innovative technologies for their business in 2024 (NetSuite).

96. Companies excelling in AI integration combined with human talent achieve a 650% higher performance than the average, a metric applicable to tourism and hospitality businesses adopting AI effectively (VASS Company).

97. Strategic lowering of rates for select room categories using AI can be a successful tactic in revenue management. (While no specific statistic on this impact was found, it's a statistically driven pricing strategy).

98. Dynamic packaging with local attractions and services using AI can increase revenue. (Refer back to point 39 for a related statistic on increasing non-room revenue by up to 25%).

99. Targeted marketing to price-sensitive segments using AI is a key strategy in tourism and hospitality, aiming to increase conversion rates (Refer back to point 13 for a related statistic of up to 30% increase in conversion rates).

100. Real-time adjustments based on competitor pricing and demand fluctuations are enabled by AI in revenue management, leading to improved financial outcomes (Refer back to points 24 and 25 for revenue increases of up to 17% and 22% respectively).