Travel & Hospitality AI Market - Forecast(2021 - 2026)

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Travel and Hospitality AI Market Overview

The Travel and Hospitality AI Market is estimated to surpass $1.2 billion mark by 2026 growing at an estimated CAGR of more than 9.7% during the forecast period 2021 to 2026. Most hotels and resorts rely heavily on delivering excellent customer service to build their reputation and AI technology can assist with this in a wide variety of different ways ranging from improving personalisation, tailoring recommendations and guaranteeing fast response times, even in the absence of staff. The turmoil in Corona (COVID-19) has had a big influence on the hospitality and travel industry. (Partial) lockdowns and travel bans have been placed in effect by several nations. Many competitions have been postponed, including the UEFA EURO 2020, the Olympic Games and the ITB Berlin, the world's biggest travel trade show. A large amount of corporate activities and vacation outings have had to be delayed or cancelled due to work uncertainties and business limitations. Many travel firms are facing a dramatic drop in business. For instance, airlines slash their schedule by as much as 50 percent (or more) and restaurants and hotels worldwide face occupancy drops of up to 90 percent and are even ordered to close in some cases.

Report Coverage

The report: “Travel and Hospitality AI Market– Forecast (2021-2026)”, by IndustryARC covers an in-depth analysis of the following segments of the Travel and Hospitality AI Market.
By Type: Transportation (Airlines, Cruises, Road, Rail), Hospitality (Hotels, Rented Accommodations)
By Solution Type: Travel (Booking Solutions, Pricing and Forecasting, Travel Itinerary, Virtual Customer Service, Personalized Experiences and Others) and Hospitality (Customer Purchase Management, Booking Solution, Pricing and Forecasting, Journey Planning and Itinerary and Others)
By Deployment Model: Cloud, On-Premises
By Pricing Model: One Time Payment and Subscription
By Technology: AI, IoT, AR and VR, Big Data and Others
By End Users: Travel Agencies, Transportation Companies, Corporations and Hotels
By Geography - North America (U.S, Canada, Mexico), South America(Brazil, Argentina and others), Europe (Germany, UK, France, Italy, Spain, Russia and Others), APAC(China, Japan India, SK, Aus and Others), and RoW (Middle East and Africa).

Key Takeaways

  • As a direct result of Covid-19, enterprises are advancing their plans to digitize and automate parts of their business not just to achieve better operational efficiencies, but to protect themselves from disruptions. This has been particularly prevalent in the travel sector. 
  • Latest surveys estimate that "Smart Hospitality" is projected to rise by more than 25% by 2021. Robots delight consumers by offering unexpected services, keeping customers involved on an ongoing basis, generating a fresh and exciting environment in the minds of customers. 
  • This significant concern about the implementation of AI in some of the main fields, such as financial management and security apparatus, is a continuing problem

Travel and Hospitality AI Market Segment Analysis - By Type

Transportation segment held the highest market share in 2020 and it is anticipated to witness significant market growth during the forecast period 2021-2026 with a CAGR of 9.15%. The transportation industry is becoming leaner, quicker, tech-enabled, and data-driven. Leveraging AI in transportation helps the sector increase passenger safety, reduce traffic congestion and accidents, lessen carbon emissions, and also minimize the overall financial expenses. The capacity for artificial intelligence to perform tasks that have traditionally required human cognitive function has made it especially useful for those in the travel industry, because deploying AI can save businesses time and money, while potentially eliminating human error and allowing tasks to be performed quickly, at any time of the day.

Travel and Hospitality AI Market Segment Analysis - By Solution Type

Latest surveys estimate that "Smart Hospitality" is projected to rise by more than 25% by 2021.  Robots delight consumers by offering unexpected services, keeping customers involved on an ongoing basis, generating a fresh and exciting environment in the minds of customers. Robots in the hotels offer assistance to clients by leading them to their hotel rooms, delivering their baggage to their rooms, maintaining housekeeping facilities, serving food & snacks. Thus, Robotics continually improve Customer loyalty & Customer experience by delivering innovative services and offer assistance in hospitality facilities. With a growth in the number of travellers, it is important for service providers to distinguish themselves from overly customised offerings while keeping visitors' tastes in mind. The dynamic method of understanding guest expectations and monetizing guest data has progressed with the advent of data analytics. ML (Machine Learning) is the perfect medium for acting groups to grasp from background knowledge and increase operational performance in order to satisfy consumer needs cost-effectively. Deep understanding of specific consumer needs allows the customer agent or communications staff to recommend goods and services that are sure to be appealing to the customer. This in turn boosts the market growth.

Travel and Hospitality AI Market Segment Analysis - By Geography

Geographically, APAC region is anticipated to witness the most significant market growth during the forecast period 2021-2026 with a CAGR of 9.89%. This market growth is attributed to various factors including rapid infrastructure development across airports, seaports, railroads, hotels, highways, and others coupled with incorporation of advanced technologies such as Artificial Intelligence, Internet of things, Block-chain and others. 
Deployment of AI eases the process of booking tickets for flights, booking hotel rooms, overcoming difficult travel choices, shortening the purchase process and providing a more comfortable bid. In recent years, artificial intelligence in the hospitality field has been growing. Connie, an AI robot which is used in hotels and resorts, was introduced by IBM. These robots assist customers with basic tasks such as help desks, hotel room detail, restaurants and timings, hotel maps and other related tasks. These prospects for the growth of new AI start-ups in the travel & hospitality industry has been developed and have become a significant trend in recent years.

Travel and Hospitality AI Market Drivers

Facial Recognition regulating Travel Facilities

Technologies including facial recognition offer hassle-free check-ins at airports and all other stations without any review of documentation by the immigration service, customs department, and so on. This app for facial recognition not only offers hassle-free check-ins but also provides visitors with digital privacy and enforcement through the use of blockchain technology. The travel process for clients supported by these technology leverages a positive impact on market growth. Not only are airlines improving customer service with self-service capabilities. Hotels can even benefit from check-in for facial recognition. This technology helps travellers to skip queues and complete entry forms at the front desk. With these terminals, in less than one minute, a check-in that usually takes three minutes or more can be completed.  It is quick to use facial recognition checkouts. Travelers scan their ID, take a screenshot and include information about their contacts. The computer verifies their knowledge about identification and reservation and issues a room key. Marriott has so far been exploring self-serve kiosks at the Moxy brand that encourage guests to swipe their credit card, causing the kiosk to distribute the key to their room.

Virtual reality creating opportunities in travel, tourism & hospitality sectors

There is a substantial difference between the consumers' perceptions of the service and the current service offered by the service providers. Customers at a distance appear to be oblivious of the tourist locations and the travel experience of that destination. Customers would like to observe the journey & discovery of the tourist destinations before heading to the tourist spots. This is accomplished by looking for useful information on the Internet in the form of consumer feedback, among others. Technology of Virtual Reality (VR) produces a simulated world that gives a virtual reality experience. In the interactive realm of 3D, the client encounters the environment to a great degree. The key limitations between the client and the service provider are solved by this technology. Customers can enjoy the scenic beauty of natural resources, general infrastructure services, tourism infrastructure, and destination tourism infrastructure through watching of augmented reality videos. In order to assess the selection of the tourist attraction location, consumers can have detailed first-hand knowledge with the aid of VR technology. 

Travel and Hospitality AI Market Challenges

Data Safety and Security Issues

This significant concern about the implementation of AI in some of the main fields, such as financial management and security apparatus, is a continuing problem. For instance, the use of Blockchain technologies in facial recognition applications guarantees data protection and security.  Some countries are still hesitant to use facial recognition technology due to privacy and data security concerns. In case of  Chatbots, hotels store past purchasing records, travel history that challenges data protection and security concerns. A big issue with these machine-controlled services is that a minor ransomware intrusion will interrupt software programmes and service providers' activities, which can lead to anarchy. While AI technology is innovative and forward-looking, these innovations is not afforded to small service providers because it needs a massive investment. While Chatbots & Robots are capable of replacing the human workforce, customers still rely on the human workforce when it comes to queries that require difficulty in language processing. Machines like chatbots are limited to answering basic questions. This technologies use the keywords of the questions to have responses. When there is an incident & complicated situation that needs to be worked out, consumers still focus on the human workforce.

Travel and Hospitality AI Market Landscape

Product launches, acquisitions, and R&D activities are key strategies adopted by players in the Travel and Hospitality AI Market. Amadeus IT, mTrip, Lemax, CRS Technologies, Navitaire, Sabre Corp., Qtech Software, Tramada Systems, Travelport International and others are considered to be the key players of the Travel and Hospitality AI Market.

Acquisitions/Technology Launches/Partnerships

  • In July 2019, Ford Motor Company and Volkswagen AG revealed that through a strategic partnership with Argo AI, they are collaborating on autonomous vehicle technologies in the U.S. and Europe in a synergistic effort to stay successful in the evolving transportation environment.
  • In January 2018, credit card giant American Express acquired travel-oriented chatbot provider Mezi and folds it into its patented card-holders travel tool AskAmex.

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1. Travel& Hospitality AI Market Overview
2. Executive Summary
3. Travel & Hospitality AI Market Landscape
    3.1 Market Share Analysis
    3.2 Comparative Analysis 
        3.2.1 Product Benchmarking
        3.2.2 End User profiling
        3.2.3 Patent Analysis
        3.2.4 Top 5 Financials Analysis
4. Travel& Hospitality AI Market Forces
    4.1 Market Drivers
    4.2 Market Constraints
    4.3 Market Challenges
    4.4 Attractiveness of the Industry
        4.4.1 Power of Suppliers
        4.4.2 Power of Customers
        4.4.3 Threat of New entrants
        4.4.4 Threat of Substitution
        4.4.5 Degree of Competition
5. Travel& Hospitality AI Market – Strategic Analysis
   5.1 Value Chain Analysis
   5.2 Pricing Analysis
   5.3 Opportunities Analysis
   5.4 Product/Market Life Cycle Analysis
   5.5 Suppliers and Distributors
6. Travel & Hospitality AI Market - By Type
    6.1 Personal Travel
    6.2 Business or Professional Travel
    6.3 Hospitality Services
        6.3.1 Food & Beverage
        6.3.2 Lodging-Accommodation
        6.3.3 Travel & Tourism
        6.3.4 Others
7. Travel& Hospitality AI Market - By Technology
    7.1 Introduction
    7.2 Machine Learning
        7.2.1 Deep Learning
        7.2.2 Supervised
        7.2.3 Unsupervised
    7.3 Natural Language Processing
        7.3.1 Machine Translation
        7.3.2 Question  Answering
    7.4 Chatbots or Travel bots
        7.4.1 One Way AI Chatbot
        7.4.2 Two Way AI Chatbot
    7.5 Blockchain
        7.5.1 Public Blockchain
        7.5.2 Private Blockchain
        7.5.3 Consortium or Federated Blockchain
    7.6 Big Data 
    7.7 Virtual Assistants
    7.8 In Person Customer Service
    7.9 Data Analysis
    7.10 Others 
8. Travel &Hospitality AI Market- By Forms of Travel
    8.1 Air Travel
        8.1.1 Airplane
        8.1.2 Helicopter
    8.2 Marine Travel
        8.2.1 Ships
        8.2.2 Boats
        8.2.3 Hovercraft
        8.2.4 Submarine
    8.3 Rail Travel
        8.3.1 Commuter Rail
        8.3.2 Bullet Train
        8.3.3 Metro
        8.3.4 Monorail
    8.4 Road Travel
        8.4.1 Bus
        8.4.2 Car
        8.4.3 Bikes
9. Travel& Hospitality AI Market - By Applications
    9.1 Introduction
    9.2 Hospitality Applications
        9.2.1 Customer Purchases
        9.2.2 Travel Choices
        9.2.3 Restaurants
        9.2.4 Entertainment
        9.2.5 Journey Patterns & Itinerary
        9.2.6 Location Preferences
        9.2.7 Others (Hotel Rating Inquiries, Payment Methods, Smart Controls)
    9.3 Travel Applications
        9.3.1 Airline& Other Ticket Bookings
        9.3.2 Better Pricing & Forecasting
        9.3.3 Effectively Positioned Travel Plans
        9.3.4 Virtual Customer Service
        9.3.5 Ultra-Personalized Stay Experiences
10. Travel& Hospitality AI Market – By End-Users
    10.1 Tourism Industry
    10.2 Hospitality Industry
    10.3 Aviation Industry
    10.4 Shipping & Shipbuilding Industry
    10.5 Transportation& Logistics Industry
    10.6 Entertainment Industry
11. Travel& Hospitality AI Market - By Geography
    11.1 North America
        11.1.1 U.S.
        11.1.2 Canada
        11.1.3 Mexico
    11.2. Eastern Europe
        11.2.1 Russia
        11.2.2 Poland
        11.2.3 Romania
        11.2.4 Czech Republic
        11.2.5 Others
    11.3 Western Europe
        11.3.1 U.K.
        11.3.2 Germany
        11.3.3 France
        11.3.4 Italy
        11.3.5 Belgium
        11.3.6 Ireland
        11.3.7 The Netherlands
        11.3.8 Switzerland
        11.3.9 Spain
        11.3.10 Others
    11.4 Nordic Region
        11.4.1 Denmark
        11.4.2 Sweden
        11.4.3 Finland        
        11.4.4 Others
    11.5 South America
        11.5.1 Brazil
        11.5.2 Argentina
        11.5.3 Chile
        11.5.4 Colombia
        11.5.5 Others   
    11.6 APAC
        11.6.1 Japan
        11.6.2 China
        11.6.3 India
        11.6.4 South Korea
        11.6.5 Taiwan
        11.6.6 Australia
        11.6.7 New Zealand
        11.6.8 Hong Kong
        11.6.9 Others
    11.7 ROW
          11.7.1 Middle East
            11.7.1.1 Saudi Arabia
            11.7.1.2 Israel
            11.7.1.3 Others
        11.7.2. Africa
            11.7.2.1 Egypt
            11.7.2.2 South Africa
            11.7.2.3 Others
12. Market Entropy
    12.1 New Product Launches   
    12.2 M&As, Collaborations, JVs, Partnership
13. Company Profiles
    13.1 IBM (U.S.)
    13.2 KLM Airlines (Netherlands)
    13.3 Lola (U.S.)
    13.4 Altexsoft (U.S.)
    13.5 Hilton (U.S.)
    13.6 Company 6
    13.7 Company 7
    13.8 Company 8
    13.9 Company 9
*More than 10 Companies are profiled in this Research Report*
"*Financials would be provided on a best efforts basis for private companies"
14. Appendix
    14.1 Abbreviations
    14.2 Sources
    14.3 Research Methodology
    14.4 Bibliography
    14.5 Compilation of Expert Insights
    14.6 Disclaimer