AI in Travel
AI in Hospitality and Tourism Market Adoption Surges with
InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the “Global AI in Hospitality and Tourism Market- (By Type (Natural Language Processing Applications, Machine Learning Algorithms, Computer Vision and Image Recognition, Chatbots and Virtual Assistants, Recommendation Systems, Sentiment Analysis) By Application; By End-User, By Region, Trends, Industry Competition Analysis, Revenue and Forecast To 2034.”
According to the latest research by InsightAce Analytic, the Global AI in Hospitality and Tourism Market is valued at USD 2.9 Bn in 2024, and it is expected to reach USD 36.5 Bn by 2034, with a CAGR of 28.9% during the forecast period of 2025-2034.
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Artificial intelligence (AI) is increasingly reshaping the hospitality industry by enhancing guest satisfaction, optimizing operational performance, and streamlining processes across hotels, restaurants, and travel services. The adoption of advanced technologies-such as computer vision, machine learning (ML), data analytics, and natural language processing (NLP)-is driving a broad spectrum of innovative applications throughout the sector.
AI-powered chatbots and virtual assistants play a key role in facilitating personalized customer engagement and improving reservation systems by offering real-time assistance and tailored recommendations. Recommendation engines leverage historical guest data and behavioral insights to deliver customized services and amenities, thereby increasing guest satisfaction and promoting brand loyalty. Furthermore, the use of computer vision for facial recognition strengthens security protocols and expedites check-in and check-out procedures, resulting in a more seamless and efficient guest experience.
In addition, predictive analytics contributes to operational excellence by supporting accurate inventory control, reliable demand forecasting, and dynamic pricing strategies. As AI-driven technologies continue to be adopted, the hospitality industry is well-positioned to enhance service quality, expand its offerings, and maintain a competitive edge in the global marketplace.
List of Prominent Players in the AI in Hospitality and Tourism Market:
• IBM Corporation
• Google LLC
• Amazon Web Services (AWS)
• Microsoft Corporation
• Oracle Corporation
• Salesforce.com, Inc.
• SAP SE
• Intel Corporation
• NVIDIA Corporation
• Alibaba Group Holding Limited
• Huawei Technologies Co., Ltd.
• Cisco Systems, Inc.
• Travelport Worldwide Limited
• Amadeus IT Group S.A.
• Expedia Group, Inc.
• Airbnb, Inc.
• Tripadvisor, Inc.
• Booking Holdings Inc.
• Agoda Company Pte. Ltd.
• Ctrip.com International, Ltd.
• MakeMyTrip Limited
• TripAdvisor, Inc.
• Kayak Software Corporation
• Trivago N.V.
• Others
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Market Dynamics
Drivers:
The widespread adoption of AI-powered chatbots is significantly enhancing guest engagement by delivering 24/7 customer support, efficiently addressing inquiries, resolving issues promptly, and streamlining the booking process. Additionally, the integration of voice-activated technologies in hotel environments increases guest convenience by enabling intuitive control over room functions, service requests, and access to information through verbal commands.
AI is also playing a crucial role in advancing sustainability initiatives by improving resource efficiency, minimizing waste, and promoting environmentally conscious practices. Moreover, the use of AI to enhance augmented reality (AR) and virtual reality (VR) applications allows prospective travelers to experience virtual tours of accommodations and destinations, thereby positively influencing booking decisions and accelerating market expansion.
Challenges:
While AI offers numerous advantages, it is not without limitations. Errors or biases in AI-generated outputs, often stemming from flawed or unrepresentative training data, can compromise decision-making accuracy-especially in critical scenarios where human intervention remains vital. The hospitality and tourism sectors also face significant technical hurdles in AI implementation, as many enterprises continue to rely on outdated legacy systems that are incompatible with newer AI technologies. The integration of AI solutions into existing infrastructures involves both complex technological adjustments and considerable financial investment.
Regional Trends:
North America is expected to dominate the AI market in the hospitality and tourism sector, exhibiting a robust compound annual growth rate (CAGR) during the forecast period. This growth is driven by the presence of major industry stakeholders, evolving consumer preferences, ongoing innovation, and favorable regulatory conditions. Europe also represents a key regional market, benefitting from its technologically advanced economies and increasing adoption of AI-driven solutions. Renowned travel destinations such as France, Italy, Spain, and the United Kingdom continue to attract high volumes of international visitors, further fueling demand for AI technologies aimed at enhancing the overall tourist experience.
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Recent Developments:
• In June 2024, the travel IT company Amadeus added a chatbot to its Agency360 Plus data tool as the first step toward integrating Generative AI into its portfolio of business intelligence solutions. The chatbot will be able to respond to queries and requests for data in “natural language” and give hotel companies access to agency and corporate booking data via Microsoft’s Azure OpenAI Service.
Segmentation of AI in Hospitality and Tourism Market
AI in Hospitality and Tourism Market- By Type
• Natural Language Processing
• Machine Learning Algorithms
• Computer Vision and Image Recognition
• Chatbots and Virtual Assistants
• Recommendation Systems
• Sentiment Analysis
AI in Hospitality and Tourism Market- By Application
• Customer Service and Support
• Personalized Marketing and Advertising
• Hotel and Room Booking Systems
• Virtual Concierge Services
• Smart Guest Room Automation
• Data Analytics and Business Intelligence
• Revenue Management and Pricing Optimization
AI in Hospitality and Tourism Market- By End User
• Hotels and Resorts
• Airlines and Airports
• Travel Agencies and Tour Operators
• Restaurants and Food Service Providers
• Cruise Lines and Maritime Tourism
• Online Travel Platforms and Booking Websites
AI in Hospitality and Tourism Market- By Region
North America-
• The US
• Canada
• Mexico
Europe-
• Germany
• The UK
• France
• Italy
• Spain
• Rest of Europe
Asia-Pacific-
• China
• Japan
• India
• South Korea
• South East Asia
• Rest of Asia Pacific
Latin America-
• Brazil
• Argentina
• Rest of Latin America
Middle East & Africa-
• GCC Countries
• South Africa
• Rest of Middle East and Africa
Read Overview Report- https://www.insightaceanalytic.com/report/ai-in-hospitality-and-tourism-market/2754
About Us:
InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.
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This release was published on openPR.
Saturday, August 2, 2025
The Revival of Ansett Australia has taken a surprising turn, formerly one of the leading airlines in Australia has made an incredible comeback – albeit not as a full-service airline. The reintroduction of the airline was conceived by Melbourne entrepreneur, Constantine Frantzekos who saw an opportunity to reinvigorate the Ansett name and offer a more tailored and cost-effective means of flying, Through the platform, known as Ansett. Travel, powered by cutting-edge artificial intelligence, Frantzekos aims to transform how Australians plan and experience travel, bringing back the legacy of Ansett in a modern, digital form.
From Airline to AI Travel Platform
Launched many decades ago Ansett quickly became a household name and was most noted for its innovative flight experience coupled with world-leading customer service. But after it folded in 2001, the brand appeared to never fly again. But Frantzekos spied an opportunity in the moldering trademark, which had expired. Rather than siphoning the defunct airline’s DNA, he rebuilt the brand as an ultra-modern travel tech platform that prides itself on deep personalization and machine learning to serve 21st-century travelers’ changing needs.
AI-Driven Personalization for Modern Travelers
Ansett. Travel, Australia’s first travel agency wholly powered by A.I. The platform seeks to provide a more intelligent and personalized experience by mining users’ preferences using algorithms and machine learning. The AI makes personalized travel recommendations for trips, activities and experiences over time — it’s like your own personal travel concierge in the cloud. Users enter information about their travel experience — like the location, dates and interests at play—and an AI powered program conjures up bespoke itineraries, activities and amenities for them.
For instance, a user could plan for having their mate from Melbourne visit them to watch a major sports event such as the Ashes. The AI would then suggest things to do in the area and local accommodations/restaurants that suit their tastes. Private Charter Members also get the benefit of buying these services at very close to wholesale on Ansett VIP.
An Affordable Business Model Focused on Savings
The business model behind Ansett. Travel is based on two pillars, deep personalization and affordability. Users can enroll in a VIP membership for $99 per year, which entails discounts on flights, hotels and cultural experiences. The platform is planned to provide dramatic savings when compared against old fashioned travel agencies that are expensive in terms of overheads and staff. Instead, Ansett leverages technology to automate all of its operations and invests capital into building a platform while keeping a tiny support team.
Ansett is not a traditional travel agency, which can take the bulk of a dollar when it sells and then enjoys large profit margins. The website intentionally makes their pricing more competitive for travelers and leaves the difference in savings right up on company’s frontpage.
Combining AI with Human Support
Frantzekos draws parallels between Ansett. Travel and companies like Uber, which have bet on personalized service without traditional overhead. The service features a Chrome and Firefox extension (with Safari support coming) that lets consumers compare real-time prices on travel products while visiting other sites.
Despite being AI-driven, Ansett. Travel also reminds you how essential human contact is. With AI responsible for the majority of routine personalization duties, customer support agents can be on hand to help users when there are specific problems or they need assistance urgently. It is this melding of AI efficiency and human hospitality that makes for a smoother travel experience.
What Next, The Future of Ansett
While Ansett. Travel isn’t an airline, but Frantzekos says he wouldn’t rule out possibly branching the brand into air travel in some way down the line. For now he wants to give every Australian access to a next-level travel concierge that aspires on the nostalgia of Ansett with modern AI power. Ansett Australia is reborn in the Digital world, not flying but at the forefront of a new era, transforming travel using blockchain technology.
Steve Singh spent two decades building Concur into the dominant travel-and-expense management platform before selling it to SAP for $8.3 billion in 2014. A year ago he became CEO of Spotnana, a startup that aims to solve the industry’s lingering problems.
The travel technology sector has struggled for years with fragmented systems that force companies to cobble together bookings from multiple sources while maintaining adequate customer service.
These back-end issues have delayed the arrival of what Singh called “The Perfect Trip” in an interview with Skift in 2014.
Now Singh argues that today’s cloud-native computing and machine learning can solve problems that proved intractable when he first tackled them at Concur more than 40 years ago.
“I haven’t been this excited about how tech can improve the corporate travel experience since mobile phones became widespread,” Singh said in an interview at Global Business Travel Association conference in Denver last month.
Automating Services
Spotnana’s approach centers on automating routine travel services like rebookings and refunds.
For corporate customers buying the travel, Spotnana will offer business intelligence tools and analytical services to let executives more clearly understand what their employees are spending on travel.
“Instead of a 15% cut across the board, which is indiscriminate, what if an AI agent could say, ‘I’ll get you the 15% savings by reducing travel spend by 40% for people that are not revenue producing while not reducing it at all for others, thanks to the intel I know on the clients they’re visiting and the productivity of those employees on the road,’” Singh said.
Singh claimed Spotnana could reduce travel management companies’ operational costs by roughly half. The tech vendor said it doesn’t accept global distribution system incentives and doesn’t hide or bias content to reach supplier volume targets.
Singh said Spotnana expects to deploy its AI agent capabilities within the next two to three years.
He described plans for “an AI agent that was trained on, say, your top 10% of your corporate travel agents” that could provide consistent, scalable service while understanding individual traveler preferences and company policies.
“Imagine an AI agent that not only knows me and my corporate policies and my personal preferences, but then it can also be an expert in every city I want to go for work or for leisure,” Singh said. “That starts to deliver a client experience that is no different than the world’s best executive assistant.”
Singh said that AI may also help with either predicting and responding in the moments when trips are disrupted by cancellations.
Automated reactions are key, he said: “If my flight is delayed, I shouldn’t have to pick up my phone and call somebody to change flights. Why can’t there be a recommendation pushed right into my app, saying here are the three options within your company’s travel policy, here are the three options outside your policy. Which one would you like?”
Frenemies
Spotnana, which has disclosed raising over $100 million in funding, faces established competitors with services that overlap.
While Spotnana is not a travel management company, its technology and full-content approach are similar to travel management companies like Navan (which has raised over $1.2 billion in funding) and TravelPerk (over $700 million).
Yet some industry observers remain skeptical about whether new technology can overcome the travel sector’s entrenched interests and complex commercial relationships. The American Airlines’ ill-fated effort to change how corporations and travel management companies book business travel suggests the challenges facing any attempt to change distribution.
But Singh said cloud computing costs are “one-tenth” of what they were 15 to 20 years ago. Key corporate travel systems are now cloud-native and use modern APIs, or data exchange methods.
More importantly, suppliers, buyers, and travel management companies have greater incentives to change the status quo, he said.
Spotnana offers its tech to Direct Travel, a company Singh also backs, and other travel management companies, such as Solutions Travel. It works with corporate buyers via connections with their preferred travel management companies.
Yet Spotnana is also a tool for the suppliers themselves.
“We think there’s multiple tiers of opportunity with our supplier partners,” Singh said. “One is the content distribution to travel management companies. But the other is that most of our supplier partners also want us to build other services for them.”
Spotnana’s effort to be all things to all people could get dicey if travel management companies come to fear it as potentially siphoning off their business by competing on fees and services to woo buyers.
Singh said he sees Spotnana’s opportunity with suppliers as being in providing services that travel management companies typically don’t, such as by giving suppliers deeper insights into their customers.
A case in point: Spotnana has partnered with Marriott to power the hotel chain’s small business portal, Business Access, handling both content distribution and booking management.
“We’re taking advantage of the biggest transformation I’ve seen in travel since we moved from paper based tickets to digital,” Singh said.
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Webuy Global ( (WBUY) ) has issued an update.
On August 1, 2025, Webuy Global Ltd successfully closed a securities purchase agreement initiated on July 30, 2024, raising approximately $3 million through the sale of Class A ordinary shares and pre-funded warrants. The proceeds are earmarked for developing an AI travel assistant platform, AI-integrated travel hardware, and general working capital. This strategic move is expected to enhance Webuy’s market position in the Southeast Asian e-commerce and travel sectors, potentially benefiting stakeholders by expanding the company’s technological capabilities and service offerings.
Spark’s Take on WBUY Stock
According to Spark, TipRanks’ AI Analyst, WBUY is a Underperform.
Webuy Global’s overall stock score is low due to significant financial challenges, including inconsistent revenue growth, high leverage, and negative cash flow. Technical analysis supports a bearish outlook, and the negative P/E ratio further underscores valuation concerns.
To see Spark’s full report on WBUY stock, click here.
More about Webuy Global
WEBUY GLOBAL LTD is a technology-driven company transforming community e-commerce and travel across Southeast Asia. The company utilizes predictive AI, personalized recommendations, and community-led engagement in its group-buy model, while its travel vertical offers curated itineraries and real-time support through its proprietary AI Travel Consultant.
Average Trading Volume: 2,001,681
Technical Sentiment Signal: Strong Buy
Current Market Cap: $4.32M
For an in-depth examination of WBUY stock, go to TipRanks’ Overview page.
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