Technology is crucial to the tourism and travel industry, helping businesses with day-to-day operations while improving the customer experience. For this reason, hotels, airlines, restaurants, and other companies must keep up with the latest technology trends within the travel industry.

In this article, you can learn about the 23 travel tech trends that matter in 2027, how ready each one is for your business, and what to watch beyond 2027.

Key Takeaways:

  • AI is moving from answering to acting. Travel AI can now help search, compare, book, rebook, and manage parts of a trip.
  • Clean, connected data matters more than ever. APIs, structured information, and system interoperability help AI tools access live rates, availability, policies, and inventory.
  • AI search is becoming a new discovery channel. Travel businesses should optimize for both traditional search and GEO so AI platforms can understand, mention, and recommend them.
  • Security and governance must grow with automation. Businesses need strong cybersecurity, clear AI permissions, human approval rules, and compliance processes.
  • Not every technology needs immediate investment. Prioritize proven tools such as AI, payments, data, and cybersecurity first, while testing or monitoring robotics, autonomous mobility, and other emerging technologies.

Table of Contents:

What Is Travel Technology?

Travel technology is the software, data, connected devices, and infrastructure that travel, tourism, and hospitality businesses use to sell, deliver, and run trips. It works in three layers:

  1. Guest-facing tools such as booking engines, apps, and chatbots
  2. Operational systems such as the PMS, revenue management, and housekeeping tools
  3. The distribution layer that connects you to OTAs, metasearch, and AI assistants.

These layers matter because value now comes from how well they connect. A strong booking engine adds little if the PMS behind it holds the wrong rates.

According to IATA’s Global Passenger Survey, 71% of travelers now prefer booking their trips online or through mobile apps. About 53% choose to book directly through airline websites or apps. This shows a clear shift toward technology-driven travel experiences.

The biggest change for 2027 is connection. Instead of separate tools for research, booking, payment, and servicing, AI and mobile technology are starting to link these stages into one continuous journey, while the same systems help businesses forecast demand, set prices, and automate routine work behind the scenes.

Why Is Travel Technology Important for Businesses in the Tourism & Travel Industry?

Travel technology increasingly determines how easily a customer can find, buy, use, and manage a travel product.

A hotel may lose a booking because its rates are missing from an AI platform. An airline may lose ancillary revenue because a payment fails. An airport may create unnecessary queues because identity and passenger-flow systems do not communicate effectively.

Technology therefore affects more than efficiency. It influences distribution, conversion, operating cost, service quality, and resilience.

WTTC reports that Travel & Tourism contributed $12 trillion and 376 million jobs, with the sector growing 3.2% against 2.4% for the world economy. At that scale, even small improvements in pricing, automation, energy use, payments, or customer servicing can have significant commercial impact.

For 2027, the priority is not simply adding more technology. Businesses need systems that exchange reliable data, connect securely, and solve measurable customer or operational problems.

Table: Role & Impact of Travel Technology in Tourism & Travel Industry

Role of Travel Technology Impact on the Industry Business Benefit
Operational automation Reduces repetitive manual processes Lower costs and more productive teams
Data and analytics Improves forecasting and decision-making Better pricing, planning, and resource allocation
Customer experience Speeds up service, booking, and communication Greater convenience and satisfaction
AI-driven distribution Allows AI platforms to find, compare, and transact with travel products Visibility in emerging booking channels
Connected systems Links inventory, payments, identity, and servicing Fewer data gaps and smoother journeys
Security and governance Protects increasingly connected digital operations Lower fraud, compliance, and reputational risk

Why Should You Keep Up With the Latest Tourism & Travel Technology Trends?

Businesses should always keep up with the latest travel technology trends because new tools quickly change what customers and employees consider normal.

Digital wallets, biometric checkpoints, instant messaging, live trip updates, and AI-assisted search all reduce friction. Once travelers experience these services elsewhere, slower processes become more noticeable.

However, following trends does not mean investing in every new technology.

The better approach is to ask three questions:

  • Does it solve an important customer, revenue, or operational problem?
  • Can it work with your existing systems and data?
  • Is the technology mature enough to justify the cost and risk?

The right choices depend on your type of business, its needs, and its resources.

technology trends travel industry - keeping up with trends

Which Developments Are Responsible for the Latest Travel Tech Trends?

A trend can be defined as a general development within a particular field or as a general shift in behavior. Within hospitality, several factors are responsible for changes in consumer behavior and, therefore, are responsible for many of the most relevant travel tech trends.

Six developments are shaping the travel tech trends for 2027:

  1. AI is moving from answering to acting. AI systems can now search live inventory, compare options, book, and help with changes after purchase
  2. Phones are carrying more of the journey. Booking, payment, identity, loyalty, and boarding passes are moving into connected mobile experiences.
  3. Systems must work together. An AI agent cannot sell a room if availability, pricing, policies, and payments sit in disconnected systems.
  4. Risk and regulation are rising. Connecting AI to reservations, payments, and identity data raises the stakes for cybersecurity, privacy, and governance.
  5. Labor shortages and cost pressure persist. Automation, predictive maintenance, and smarter buildings help teams do more with fewer people.
  6. AI platforms are becoming new distribution channels. Travel discovery is expanding beyond websites, search engines, metasearch, and OTAs into AI assistants that can recommend products and connect travelers to booking.

The speed of change is the new factor. Phocuswright research found that 56% of US travelers used AI for at least one trip in the past year, up from 43% in late 2025.

Discover The 23 Key Technology Trends in 2027 in the Tourism & Travel Industry

Below, you will find the latest and newest technology trends in tourism and travel. Each trend below covers what is changing, the evidence behind it, and what it means for you.

1. Agentic AI for Travel Planning, Booking and Servicing

Booking and travel planning are being revolutionized by AI and other key technology trends in the travel industry. In 2027, AI does not only recommend a hotel. It can complete the booking.

Google has launched hotel booking in AI Mode in the US, in English, with partners including Booking.com, Expedia Group, Marriott, Hilton, IHG, Wyndham, Trip.com, and Choice Hotels. Flight booking in AI Mode has not launched yet.

In Google AI Mode, the hotel or booking platform stays the merchant of record and handles customer service. Booking Holdings’ CEO said that part of the group’s traffic already runs through this agentic booking.

Servicing is next. Amadeus reports trials in which an airline AI agent identifies a booking, understands a spoken change request, proposes new options, explains the fare difference, and starts the payment.

For you, this means AI agents now read your rates, room types, policies, and photos directly. Incomplete or inconsistent data leaves you out of the shortlist. Learn how to prepare in “What Is Agentic Hotel Booking and How Should Hotels Prepare”.

Video: Planning a Quick Getaway? Just Ask Google

2. AI Search & Generative Engine Optimization (GEO)

AI platforms are becoming a front door for trip planning. According to Phocuswright research reported by ITIJ, 33% of US travelers now use generative AI platforms such as ChatGPT and Gemini for trip research, close to the 35% who use traditional search engines.

Travelers can describe complex needs conversationally and receive personalized recommendations instead of running multiple searches. Google also reported strong growth in interest for terms such as “AI travel assistant” and “AI concierge.”

This makes Generative Engine Optimization (GEO) increasingly important. Travel businesses need consistent information across websites, OTAs, and Google profiles, clear answers to traveler questions, structured data, and regularly updated content.

In 2027, businesses should track not only search rankings, but also whether AI platforms accurately mention, cite, and connect travelers to their booking paths. Learn more about this approach in our Hotel GEO guide.

3. AI Revenue Management & Dynamic Pricing

Revenue management was one of the earliest travel disciplines to use machine learning, and systems are now moving beyond forecasting toward faster recommendations and more automated pricing decisions.

Modern revenue management platforms can react to changes in demand, booking pace, competitor pricing, events, and inventory more frequently, while AI tools increasingly explain recommendations in plain language.

For 2027, three developments stand out: richer demand signals from new digital channels, conversational analytics that let managers question performance data naturally, and greater automation within predefined pricing guardrails. Hotels are leading many of these developments, but similar technology is used across airlines, car rental, attractions, and other travel sectors.

Human oversight remains important. AI can identify patterns and recommend actions, but revenue teams still need to define commercial strategy, pricing limits, and exceptions.

4. Agent-Ready Data, APIs & Interoperability

AI agents cannot book travel from marketing copy. They need structured, current data on prices, availability, restrictions, and policies, plus reliable connections to your PMS, booking engine, and payment systems. That makes open, well-documented technology a revenue issue, not only an IT one.

An important development is the rise of standardized interfaces such as Model Context Protocol (MCP). MCP can give AI applications a consistent way to connect with external tools and systems instead of requiring a completely custom integration for every use case.

Hospitality technology company Apaleo, for example, launched an MCP server that lets AI agents read data and perform tasks across PMS, CRM, housekeeping, and payment systems. Other providers are pushing hotels’ live availability, rates, and inventory into AI assistants such as ChatGPT, Claude, and Gemini.

However, MCP itself should not be the goal. The more important questions are whether your systems expose reliable APIs, whether external applications can access the information they genuinely need, and whether read, write, approval, and audit permissions are clearly separated.

Learn more in “What Makes a Hotel PMS Ready for AI Agents?”

5. Cybersecurity & AI-Enabled Fraud Prevention

Travel businesses hold payment information, identity documents, loyalty accounts, reservation details, and large volumes of personal data that make the industry an attractive target for cybercriminals. The risk is increasing as systems become more connected.

Generative AI has made phishing far harder to spot. Check Point Research recorded an average of 2,291 weekly cyberattacks per organization in hospitality, travel, and recreation in May 2026, up 24% year on year. Hotels across Europe have also reported phishing sent through OTA extranet messaging to guests who are about to arrive.

AI agents add a new layer of risk, because some will be able to read guest data or start transactions in your systems. Fake agents and bots will try the same, which is why payment networks are building ways to verify legitimate AI agents.

Priorities include multi-factor authentication, tightly controlled permissions, secure APIs, regular access reviews, employee training, payment tokenization, system monitoring, and clear processes for approving higher-risk AI actions.

In 2027, an AI system is not operationally ready simply because it works. It must also be controllable, auditable, and secure.

Video: What Can a Cyberattack Do to an Airline? 5 Major Risks Explained

6. AI Chatbots & Guest Messaging

AI chatbots are shifting from FAQ tools into connected service channels. Older hotel chatbots mainly followed predefined scripts. Newer systems can understand open-ended questions, work across languages, retrieve information from connected systems, and continue a conversation across several requests.

The biggest change for 2027 is what happens after the answer. When connected securely to a PMS, booking engine, or CRM, an assistant may be able to check availability, retrieve reservation details, suggest an upgrade, or start a booking change. At that point, the line between chatbot and AI agent begins to narrow.

This makes data quality and escalation more important. Incorrect policies or outdated room information can produce wrong answers at scale, while unusual complaints, payment problems, or safety issues still need human judgment.

For travel businesses, the goal should not be to automate every conversation. Focus first on repetitive requests where AI can reduce response time while giving staff a clear handover point for higher-risk cases.

Check out the article “AI Chatbot: What Are the Advantages for the Travel Industry?” to learn much more.

Example: Friendly Travel-Intelligent Chatbot

7. Generative AI Copilots for Staff

Artificial intelligence now sits behind almost every technology trend. Within the travel and tourism industry, it can sort through data continuously, draw conclusions about business performance or trends in customer satisfaction, and even manage inventories.

The fastest-growing use in 2027 is behind the desk. In mid-2026, Oracle launched OPERA Cloud Assistant, which adds AI-assisted room assignments, AI-generated rate descriptions, multilingual translation, and a conversational assistant for staff questions inside the PMS.

Embedding AI inside systems employees already use can be more useful than asking teams to move data into separate general-purpose AI tools. Travel businesses should focus on specific tasks where an AI copilot reduces time or errors, and measure the result.

Human review remains important for decisions involving money, customer commitments, safety, employment, or unusual situations.

8. AI Regulation & Governance

As AI takes on more guest-facing work, regulation is catching up, and the EU sets the pace for any business that serves EU travelers. Travel companies need rules defining which information AI may access, which actions it can take, which decisions require human approval, and how every important action is recorded.

Under the EU AI Act, the Article 50 transparency obligations apply from 2 August 2026. In practice, people must be told when they are talking to an AI chatbot, and AI-generated content such as deepfakes must be labeled.

The EU has also established later application dates for high-risk AI requirements: December 2, 2027 for standalone high-risk systems and August 2, 2028 for high-risk AI embedded in regulated products.

Governance matters as much as compliance. Decide what each AI tool may read, what it may change, which actions need human approval, and how its actions are logged. Then check disclosure on chatbots and voice agents, and confirm the details with your legal advisor.

9. Metasearch Meets AI Mode

Metasearch engines such as Google Hotels, Trivago, Kayak, and Skyscanner compare prices from hotels, OTAs, and other sellers in one place. For hotels, they remain one of the few channels where your direct rate sits next to OTA prices at the moment of choice.

That comparison is moving into AI. Google now completes hotel bookings inside AI Mode with 10 large chains and OTAs (see trend 1), and Skift expects AI agents to pull more prices directly from suppliers through APIs.

Google is also tightening the rules. It ended third-party rates for hotel ads on 30 September 2026, so campaigns that relied on Google-sourced prices instead of a direct price feed stopped serving.

For you, this means a direct price feed through Hotel Center or your connectivity partner, regular rate parity checks, and complete content, because the same data now feeds AI answers. Track bookings from Google Hotels, not only your ranking.

10. Next-Generation Connectivity: 5G, Wi-Fi 7 & Satellite Internet

Reliable connectivity has become core travel infrastructure, but the technologies delivering it continue to improve.

5G provides faster mobile connections and supports large numbers of devices in busy locations. Wi-Fi 7 increases capacity and can reduce latency inside hotels, airports, convention facilities, and other high-demand environments.

Low-Earth-orbit satellite networks are also changing connectivity expectations aboard aircraft, ships, and in remote destinations. Virgin Atlantic expects about two-thirds of its fleet to have free Starlink Wi-Fi by the end of 2026, and Southwest plans more than 300 Starlink-equipped aircraft by year-end.

The important change is not simply faster internet for guests. The same network may need to support streaming, mobile check-in, staff applications, cloud-based hotel systems, digital signage, security devices, smart-room equipment, sensors, and automated systems simultaneously.

Businesses should therefore evaluate coverage, capacity, reliability, redundancy, and cybersecurity together.

11. Digital Wallets & Agentic Payments

Contactless payment is no longer an emerging travel technology. The larger shift is toward digital wallets, embedded payments, and payment infrastructure designed for AI-mediated transactions.

IATA’s Global Passenger Survey found that digital-wallet usage increased from 20% in 2024 to 28% in 2025. It also found that 78% of passengers want a single smartphone experience that combines a digital wallet, digital passport, and loyalty cards.

The next challenge is agentic payment. If an AI assistant is allowed to make a reservation on behalf of a traveler, merchants need ways to verify the agent, authenticate the customer, respect spending limits, protect payment credentials, and manage disputes.

Visa is already developing agent-verification and agentic-commerce infrastructure, and in October 2026 announced a live B2B pilot in which trusted AI agents can initiate approved payments across supplier portals.

Offering the major wallets and a fallback payment method is an immediate fix. Ask your payment provider how it will handle agent-initiated bookings and chargebacks.

Check out “Reasons why Contactless Payments are Becoming Popular Within the Travel Industry” for further insights.

Video: Contactless Payments – How Does it Work?

12. Hyper-Personalization & Dynamic Offers

Travel personalization is moving beyond recommending destinations or sending offers based only on previous purchases.

Modern systems can combine context such as trip purpose, loyalty status, party size, booking history, live demand, preferences, and available inventory to assemble a more relevant offer. In aviation, IATA’s Dynamic Offers program combines continuous pricing with dynamic bundling. IATA says airline Offers and Orders are moving from vision to implementation.

For a hotel, this could mean combining a specific room with breakfast, a view, late checkout, or a spa service. For an airline, it could include a personalized combination of fare conditions, baggage, seating, or other services.

The better use of personalization is to reduce irrelevant choices and present the products most likely to fit the customer. This requires connected customer profiles, accurate inventory, clear consent, and reliable data governance.

Find more detailed information and examples of big data in the travel industry in the article “Ways Big Data Can Benefit the Travel Industry.”

Example: Big Data and Predictive Analysis

13. AI Disruption Management & Automatic Rebooking

Technology often creates the most value when a trip goes wrong. Cancellations, missed connections, and weather events create thousands of requests at once. AI optimization can weigh capacity, crew rules, and passenger needs far faster than manual teams.

In June 2026, SITA acquired Big Blue Analytics, whose AI platform builds a single recovery plan for aircraft, crew, and passenger itineraries in minutes. Amadeus is trialing AI agents that handle change requests directly with travelers.

The next step connects prediction with action, such as spotting likely disruption early, offering alternatives, and letting travelers rebook instantly. Hotels can also benefit from better disruption data. Flight delays can signal late arrivals, no-shows, transfer problems, or sudden accommodation demand. The opportunity is to move from reactive service recovery to proactive recovery.

14. Digital Identity & Biometrics

Digital identity can remove repeated document checks from the travel journey. Instead of repeatedly presenting passports, boarding passes, and other credentials, travelers can increasingly store verified information digitally and choose when to share it.

IATA’s One ID program shows where travel is headed. More than 50 airlines and 40 airports are involved in proofs of concept, pilots, or implementations, while more than 25 government entities are engaged.

Traveler adoption is also increasing. Half of respondents in IATA’s survey had already used biometrics during an airport journey, while 74% said they would be willing to share biometric information if it allowed them to avoid repeatedly showing documents.

The opportunity extends beyond airports. Hotels may eventually use digital credentials to simplify guest registration and identity checks where regulations allow. However, privacy, consent, data minimization, and local legal requirements must be built into every implementation.

In the article “Ways Facial Recognition Can Be Used in the Travel Industry“, find more detailed information and examples of facial recognition use cases in the travel industry.

Example: Facial Recognition Check-in in Marriott China

15. Voice & Multimodal AI Interfaces

Voice search is evolving into something broader: multimodal travel interaction. Modern AI systems can process combinations of text, voice, images, files, camera input, and other forms of information.

A traveler may show an assistant a picture of a beach and ask for similar destinations, speak a complex trip request instead of typing it, or use a camera to translate signs while traveling.

Google’s latest AI Search experience is explicitly designed to work across text, images, files, video, and other inputs. Voice is also becoming more valuable in customer service. AI voice agents can answer reservation calls, retrieve information, handle common questions, and route complex cases to staff.

For travel companies, this means optimizing information for conversation rather than treating every interaction as a traditional web form. Visual interfaces will remain important because travel decisions still depend heavily on maps, calendars, photos, room layouts, and price comparisons.

Take a look at “How Can Voice Control Benefit the Travel Industry?” to learn more about controlling devices by voice.

Video: Book Your Travel Trip With Voice Search

16. ChatGPT Apps & AI Assistant Marketplaces

AI assistants are becoming booking and distribution channels in their own right. ChatGPT is now also a booking surface. Inside ChatGPT, travel brands now run their own apps, so the assistant increasingly shapes which brands and rates a traveler considers.

OpenAI opened ChatGPT apps, with Booking.com and Expedia among the first partners and a user base of around 800 million. IHG and Wyndham opened their own apps on ChatGPT in spring 2026.

In the “ChatGPT Travel Guide: How the Travel Industry Can Benefit!“ article, you will have the opportunity to learn about how ChatGPT is being used throughout the industry to improve customer satisfaction, reduce costs, improve booking experiences, assist with personalization, aid with data analytics, and much more.

Diego Fernández Pérez De Ponga

Diego Fernández Pérez De Ponga, Director of Revenue Management, Palladium Hotel Group

“The use of ChatGPT and other advanced language models looks set to have a big and valuable impact. They should focus on making repetitive tasks automatic or adding more value than what a usual user can give.

A big improvement will be seen in the booking process, where many steps now needing human help can be made automatically. Better strategies for additional sales (upselling) and cross-selling before the customer’s stay are also expected. These technologies might remove language barriers and greatly reduce the need for information contact points, like calling a hotel to check gym hours.

Another big plus is in making reports. With ChatGPT, we can start to move away from manually making basic reports about the hotel’s performance, as these can be put together automatically.

However, I’m not sure if this technology can do better than existing tools in areas like improving forecast quality or complex math calculations. Tools like Business Intelligence (BI) and AI processes have been effectively helping in these areas for some time now. Let’s see how they could improve the RMS technology, for example.”

Click here to read more about the impact of ChatGPT and LLMs from our Expert Panel.

17. Internet of Things (IoT) & Predictive Operations

The Internet of Things is becoming less about novelty and more about operational intelligence.

For instance, IoT technology can be used in hotel rooms to provide customers with a device that connects to everything from the lights to the heaters and air conditioning, allowing all to be controlled from one place. In airports, luggage can carry sensors, and IATA announced its Baggage Community System in May 2026 to support real-time, structured baggage data exchange between airlines, airports, and ground handlers.

AI makes these systems more useful by identifying patterns and predicting problems from continuous streams of sensor data. The downside is security.

Every additional connected device creates another potential entry point into the wider network. Travel businesses therefore need an inventory of connected devices, secure configuration, regular updates, network segmentation, and clear rules about which systems can communicate with each other.

In 2027, the important IoT question is not how many devices can you connect? It is what operational decision improves because those devices are connected.

Find more detailed information about the ‘Internet of Things’ in the travel industry in the article “How the Internet of Things (IoT) Can Benefit the Travel Industry.”

Example: Smart Technology Smarter Airports

18. Smart Energy Management & Sustainability Data

The most useful sustainability technologies in 2027 focus on measurement and operational control. Hotels and other travel facilities can use connected building systems to monitor electricity, water, heating, cooling, occupancy, and equipment performance.

AI can then help identify unusual consumption or adjust systems when demand changes. For example, heating or cooling can be reduced automatically when a room is vacant without requiring employees to make constant manual adjustments.

Better data also improves sustainability reporting. Corporate buyers, regulators, investors, and travelers increasingly expect environmental claims to be supported by measurable information rather than broad statements.

For asset-heavy travel businesses, smart energy technology can therefore create two benefits at the same time, including lower resource consumption and stronger reporting.

This makes it a much more immediate investment area for hotels and resorts than more speculative sustainability technologies.

19. Robotics & Autonomous Operations

Travel robotics is gradually shifting from attention-grabbing concierge robots toward repetitive operational work.

Hotels are testing robots for room deliveries, cleaning, logistics, and luggage movement. In China, a hotel run almost entirely by robots, developed with Pudu Robotics, is planned to open in 2027.

Restaurants use automation in food preparation and service, while airports are exploring autonomous vehicles and robotic equipment for baggage and cargo operations. At Amsterdam Schiphol, autonomous electric baggage and cargo vehicles with robotic arms have reached the proof-of-concept stage.

The strongest business case appears where work is repetitive, physically demanding, difficult to staff, or predictable enough to automate safely. This does not mean replacing all human service. Hospitality and travel still depend heavily on empathy, judgment, problem-solving, and personal interaction.

Businesses considering robotics should calculate the total cost carefully, including maintenance, integration, charging, physical layout changes, employee training, and what happens when the robot stops working.

Find more detailed information and examples of robot use cases in the travel industry in the article “Robots in the Travel Industry: 8 Real-World Examples.”

Example: Autonomous Security Robots for Airports

20. AR, Spatial Computing & AI Wearables

Augmented reality adds digital information to the physical environment rather than replacing it completely. Travelers can use AR for navigation, translation, attraction information, wayfinding, and interpretation.

The next development is moving some of these functions from smartphones into wearable devices. AI-enabled glasses can potentially translate conversations, recognize surroundings, display navigation instructions, or answer questions about what the traveler is seeing.

Meta sold more than 7 million AI glasses in 2025 and launched prescription models in March 2026 that offer live translation without a phone, while its Ray-Ban Display model shows captions and directions inside the lens.

For travel businesses, this creates interesting possibilities for museums, attractions, airports, destination experiences, multilingual service, and accessibility.

Find more detailed information and examples about how augmented reality can benefit your business in the article “How Augmented Reality is Revolutionizing the Travel Industry.”

Example: Augmented Reality Within the Travel Industry

21. Sustainable Fuels, Electric & Hydrogen Transport

Many of the technology trends travel industry leaders need to be aware of are influenced by sustainability, and some of the most important are developing inside the vehicles travelers use. For most hotels and travel sellers, these are trends to track rather than buy.

Sustainable Fuel for Cruise Ships

Renewable biofuels are already in use. Lines such as Royal Caribbean and Carnival operate LNG-powered ships, and partially battery-powered hybrid ships are expected to grow in the years to come.

On top of this, there is substantial interest in green hydrogen, ammonia, and green methanol fuels. All of these options provide the potential for the cruise industry to reduce its carbon footprint, which will appeal to environmentally-conscious travelers.

Regulation is the swing factor. In October 2025, the IMO voted to delay its decision on the Net-Zero Framework by 12 months, while the EU ETS and FuelEU Maritime already impose decarbonization rules on ships calling in Europe.

Video: Alternative Fuels in Shipping

Sustainability Technology in the Airline Industry

Airlines are facing growing customer apprehension about the environmental sustainability of their services.

Sustainable aviation fuel (SAF) is the main lever, while hydrogen and electric engines are still in the testing phase for shorter routes. Supply is the bottleneck. IATA estimates global SAF production at around 2.4 million tonnes in 2026, just 0.8% of aviation fuel use, at a cost to airlines of $4.3 billion.

Outside aviation, electrification is already practical through electric rental cars, buses, and ferries. For hotels, EV charging is the action you can take in 2027, while SAF surcharges and travel emissions reporting are likely to keep rising.

Video: Electric Plane Example

22. Autonomous Mobility: Robotaxis & Air Taxis

Autonomous or self-driving vehicles are able to travel from one location to another without a human driver, using a combination of AI, sensors, and GPS. They have the potential to transform airport transfers, taxi services, bus services, and tours.

This is no longer only a pilot. Waymo opened its robotaxi service to the public in Miami in January 2026 and serves Phoenix Sky Harbor and San José airports. It aims to offer 1 million trips per week by the end of 2026.

Air taxis are next. Uber says riders in Dubai will be able to book Joby’s electric air taxis through the Uber app before the end of 2026, connecting Dubai International Airport with a mall, a Palm Jumeirah hotel, and a university.

Regulation, infrastructure, and public acceptance still limit scale, so early gains will come in specific cities and controlled settings such as airports and resorts. If you operate in a launch city, plan safe pickup zones and include these options in your transfer information.

23. Digital Twins & Operational Simulation

A digital twin is a virtual model of a building, site, or process that is updated with real-world data, so you can test changes before making them. An airport can simulate baggage flows, a hotel can model energy use or building systems, and a destination can study visitor flows before changing infrastructure.

Schiphol is using a digital twin built with Aurrigo’s simulation software to plan how autonomous baggage vehicles fit into its operation before scaling up.

As IoT sensors spread, digital twins will become more useful for maintenance and capacity planning. For most hotels, it matters mainly for new builds and major renovations.

technology trends travel industry - travel trends

Which Travel Technologies Should Businesses Prioritize in 2027?

Not every travel company needs to invest in all 23 technologies.

The strongest 2027 technology strategy begins with the systems that allow other innovations to work. Start with accurate data, reliable APIs, cybersecurity, payments, and clear digital processes. These foundations make it easier to adopt AI agents, personalization, and automation later.

Businesses should then examine where friction or operating cost is highest. For a hotel, this may mean AI-assisted operations, smart energy management, or automated guest servicing. For an airline, it may mean Offers and Orders, digital identity, or disruption management. Airports may gain more value from biometrics, baggage automation and robotics.

Experimental technologies such as autonomous mobility should generally come after the core digital infrastructure is working reliably.

The key question is therefore not: Which technology looks most innovative? It is: Which technology removes a real traveler or operational problem, and can your existing systems support it safely?

What Are the Latest Trends in Travel Marketing?

Aside from staying up to date with the latest travel technology trends, you should also keep pace with the latest trends in travel marketing. There is a significant crossover between travel and tourism technology, with examples including virtual reality marketing and voice search marketing, but there are also specific marketing trends.

Check out “The Latest Travel Marketing Tips to Optimize Your Results” if you are interested in exploring the topic of travel marketing in greater detail and learning about some of the major travel marketing trends right now.

What Are the Latest Trends in Tourism?

Much of the popular travel technology has been influenced by wider tourism and travel trends. For instance, the trend of environmentally conscious travel has influenced the rise of electric vehicle hire, while the trend for greater personalization has influenced the increased use of IoT devices within hotel rooms.

Read the “Tourism Trends: The Latest Opportunities for the Tourism Industry” article if you would like to learn a lot more about emerging tourism trends and the opportunities linked to them.

Technology Trends Travel Industry FAQs

Technology is transforming the travel industry through AI, digital, and mobile offerings that enhance the travel experience. Examples include the use of AI chatbots, mobile check-ins, virtual tours, and booking engines that offer personalized recommendations. AI is also assisting operations through improved automation and faster data analytics.

Some of the biggest technological innovation trends in tourism include agentic AI, AI search, digital identity and biometrics, digital wallets, the Internet of Things (IoT), satellite connectivity, and autonomous mobility. These innovations help to provide faster responses, more seamless journeys, better security, and a greater degree of personalization.

Personalization, sustainability, and security are at the heart of future travel experiences, so technology related to these concepts is expected to grow. AI technology is helping to improve personalization with intelligent recommendations and automated travel plan creation. Sustainability can be improved through innovations in transportation and energy. Security is being enhanced via biometric technology, like facial recognition.

Social media, booking platforms, AI assistants, and mobile apps can have a huge influence on travel decisions, making it faster and easier than ever to explore options, read customer reviews, and make a booking online. Other technologies that influence how people travel include biometrics, satellite Wi-Fi, and virtual reality.

Tech-empowered travel is travel that utilizes technology to enhance the experience and empower travelers. Examples include the use of AI for real-time translation and personalized recommendations, or the use of smart luggage tracking and mobile boarding passes, cutting waiting times and reducing stress at the airport.

Travel technology in 2027 is moving from assistance to action, such as AI that books, identity that travels with the guest, and systems that respond when plans change. For companies operating in the travel industry, keeping up with the latest travel technology trends is essential. To gain the most, build first on clean data, connected systems, and strong security, then adopt tools that solve your real guest and operational problems.

Want to Learn More About Technology in Related Industries?

It is essential to be aware of all the upcoming technological trends in the hospitality & tourism-related industries. While some trends can affect multiple industries, some are very specific to the industry. In the following articles, you can learn more about technology trends in related industries.

More Tips to Grow Your Business

Revfine.com is the leading knowledge platform for the hospitality and travel industry. Professionals use our insights, strategies, and actionable tips to get inspired, optimize revenue, innovate processes, and improve customer experience.

Explore expert advice on management, marketing, revenue management, operations, software, and technology in our dedicated Hotel, Hospitality, and Travel & Tourism categories.

This article is written by:

Martijn Barten

Hi, I am Martijn Barten, founder of Revfine.com. With 20 years of experience in the hospitality industry, I specialize in optimizing revenue by combining revenue management with marketing strategies. I have successfully developed, implemented, and managed revenue management and marketing strategies for individual properties and multi-property portfolios.