Artificial Intelligence (AI) in Travel and Tourism – Thematic Intelligence

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Explore trends and insights from the following data in our Artificial Intelligence (AI) in Travel and Tourism’ thematic report:

  • This report provides an overview of the AI theme.
  • It provides a detailed value chain analysis, which comprises four segments: human AI interaction, decision-making AI, motion, and creation. Leading and challenging vendors are identified across both segments.
  • The report identifies travel and tourism challenges, such as ESG, operational efficiency, and the COVID-19 hangover, and an impact assessment of AI on the travel and tourism industry, addressing these challenges.
  • It offers insights into several case studies to analyze the multiple ways countries and companies have responded to the impact of this theme’s growth and what they are doing to grow with this theme.

How is the ‘Artificial Intelligence in Travel and Tourism’ thematic report different from other reports in the market?

  • This report will help you to understand AI and its potential impact on the travel and tourism sector.
  • Benchmark your company against your competitors and assess how travel and tourism companies are utilizing AI to drive revenues.
  • Identify attractive investment targets by understanding which companies are most advanced in the themes that will determine future success in the travel and tourism industry.
  • Develop relevant and credible sales and marketing messages for travel and tourism companies by understanding key industry challenges and where AI use cases are most useful.
  • Develop and design your corporate strategies through an in-house expert analysis of artificial intelligence by understanding the primary ways in which this theme is impacting the travel and tourism industry.
  • Position yourself for future success by investing in the right AI technologies.

We recommend this valuable source of information to anyone involved in:

  • Tour Operators/Hotel Groups
  • Technology Leaders and Startups
  • Business Development and Market Intelligence
  • Investment Analysts and Portfolio Managers
  • Professional Services – Investment Banks, PE/VC firms
  • M&A/Investment, Management Consultants, and Consulting Firms

To get a snapshot of the artificial intelligence in travel and tourism thematic report, download a free report sample

AI in Travel and Tourism Thematic Report Overview

AI-driven technologies are disrupting the travel and tourism sector. AI can analyze huge amounts of data, generating valuable insights that enhance the customer experience and boost operational efficiency. With AI, making travel arrangements become easier as it offers automated and customized services. AI automates repetitive and time-consuming tasks, reducing waiting times and costs while freeing up employees to focus on more critical responsibilities and addressing chronic staff shortages.

The Artificial Intelligence (AI) in Travel and Tourism thematic intelligence report assesses how AI, combined with other emerging technologies, can be used across the travel and tourism value chain. It provides an overview of the current landscape, as well as key players, while also highlighting opportunities for the use of AIs in the future. The report provides an industry-specific analysis based on GlobalData databases and surveys.

Report Pages 69
Regions Covered Global
Market Size (2022) $81.3 billion
CAGR (2022-2030) >35%
Historical Period 2010-2022
Forecast Period 2023-2030
Value Chain ·       Hardware

·       Data Management

·       Foundational AI

·       Advanced AI Capabilities

·       Delivery

Leading Adopters ·       Airbnb

·       Delta Air Lines

·       Dubai Airports Company (DAC)

Leading AI Vendors ·       Alibaba

·       Alphabet

·       Amazon

Specialist AI Vendors ·       Aiir Innovations

·       BagsID

·       Hopper

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AI in Travel and Tourism – Industry Analysis

The AI market was valued at $81.3 billion in 2022. The market is expected to achieve a CAGR of more than 35% between 2022 and 2030. AI has been incorporated into devices, business applications, and productivity tools for some time. The advent of ChatGPT, the language model launched in November 2022 by OpenAI, paved the way for the current hype surrounding this technology. Companies are keen to take advantage of these new capabilities, particularly in areas such as sales, marketing, and customer support.

Global AI Revenue by Product 2022-2030 ($ Billion)

Global AI Revenue by Product 2022-2030 ($ Billion)

For more insights into the AI in travel and tourism market forecast, download a free report sample

AI in Travel and Tourism - Value Chain Analysis

The AI value chain is split into five segments which are hardware, data management, foundational AI, advanced AI capabilities, and delivery.

Hardware: The hardware value chain can be further divided into semiconductors, cameras, sensors and lasers, and servers, among others. The AI hardware stack is not too dissimilar from any IT system, although parts such as semiconductors, cameras, sensors, and edge equipment are very AI-specific. On the other hand, servers, storage, and networking equipment are standard and not designed specifically for AI use cases.

AI Value Chain Analysis

AI Value Chain Analysis

For more insights into the AI value chain, download a free report sample

Leading AI Adopters

Some of the leading travel and tourism companies currently deploying AI are:

  • Airbnb
  • Delta Air Lines
  • Dubai Airports Company (DAC)

Leading AI Vendors

Some of the leading players within the AI theme are:

  • Alibaba
  • Alphabet (parent company of Google, Waymo, and DeepMind)
  • Amazon

Specialist AI Vendors in Travel and Tourism

Some of the specialist AI vendors in the travel and tourism sector are:

  • Aiir Innovations
  • BagsID
  • Hopper

To know more about the leading AI adopters, vendors, and specialist vendors, download a free report sample

Travel Intermediaries Sector Scorecard

At GlobalData, we use a scorecard approach to predict tomorrow’s leading companies within each sector. Our sector scorecard has three screens: a thematic screen, a valuation screen, and a risk screen.

  • The thematic screen ranks companies based on overall leadership in the 10 themes that matter most to their industry, generating a leading indicator of future performance.
  • The valuation screen ranks our universe of companies within a sector based on selected valuation metrics.
  • The risk screen ranks companies within a particular sector based on overall investment risk.

Travel Intermediaries Sector Scorecard – Thematic Screen

Travel Intermediaries Sector Scorecard – Thematic Screen

To know more about the sector scorecards, download a free report sample

Segments Covered in the Report

AI Value Chain Outlook (Value, $ billion, 2010-2030)

  • Hardware
  • Data Management
  • Foundational AI
  • Advanced AI Capabilities
  • Delivery

Key Highlights

AI-driven technologies are disrupting the travel and tourism sector. AI can analyze huge amounts of data, generating valuable insights that enhance the customer experience and boost operational efficiency. With AI, making travel arrangements become easier as it offers automated and customized services. AI automates repetitive and time-consuming tasks, reducing waiting times and costs while freeing up employees to focus on more critical responsibilities and addressing chronic staff shortages.

AI provides effective resource management strategies and streamlines processes, increasing enterprise profitability. Its influence extends to marketing strategies, enabling personalized ad targeting and increasing marketing and sales content on social media platforms to enhance customer engagement.

Generative AI can analyze extensive customer data, such as travel history and preferences, to generate personalized recommendations for destinations, activities, and itineraries. Online travel agencies (OTAs) started investing in this technology to enhance customer service and offer unique and tailored travel experiences.

AI is a clear opportunity for the travel industry, but companies need to figure out how to use it in a targeted and strategic way rather than taking a scattergun approach. AI enhances the travel experience and complements it. However, it cannot replace the human touch, especially in situations where empathy is crucial. Therefore, travel companies must blend digital innovation with a personalized communication strategy to optimize customer satisfaction.

ABB
Aifnet (Deep Dream)
Aiva Technologies
Alibaba
Alpha MOS
Alphabet (Google Waymo)
Amadeus Code
Amazon
Apple
Aromyx
Artbreeder
Aryballe
Aurora
Baidu
Basler
Big Sleep
Boomy
Cognex
DeepAI
Ecrett Music
Generic Robotics
Festo
GM (Cruise)
Hugging Face (Bloom)
Hyundai (Boston Dynamics)
IBM
iFlytek
iRobot
Jasper Art
Kernel
Keyence
Lockheed Martin
Megvii (Face++)
Merative
Meta
Microsoft
Midea (KUKA)
Mobileye
Motional
NightCafe
Neuralink
Northop Grumman
Nvidia
Odometric
Omron
OpenAI (DALL-E 2
GPT-4
MuseNet)
Oracle
Output
Paradromics
Pony.ai
Robotiq
SAS
SenseTime
Shutterstock (Amper)
StarryAI
Synchron
Tangible Research
Tastewise
Tencent
Teradyne
Tesla
Thales Group
WOMBO (Dream).
Aiir Innovations
Aervio
BagsID
Cisco
Clarifai
Egencia
Hopper
Josh.ai
Pangiam
Persado
RapidMiner
Reltio
Saab
Sabre
SenseTime
SITA
Snowflake
SoundHound
SparkCognition
Winnow.
Accor
Airbnb
Booking Holdings
Comcast
Delta Air Lines
Didi Chuxing
Dubai Airports Company
easyJet
eDreams
Emirates
Expedia
Fraport
Hilton Worldwide Holdings
InterContinental Hotels Group
Los Angeles World Airports
Lyft
Melia
Qatar Airways
Royal Schiphol Group
Shanghai International Airport
Trip.com
Turkish Airlines
Uber
Walt Disney.

Table of Contents

  • 1. Executive Summary
  • 2. Players
  • 3. Travel and Tourism Challenges
  • 4. The Impact of AI on Travel and Tourism
  • 5. Case Studies
  • 6. AI Timeline
  • 7. Market Size and Growth Forecasts
  • 8. Signals

    • 8.1. Mergers and acquisitions
    • 8.2. Patent trends
    • 8.3. Company filings trends
    • 8.4. Hiring trends
    • 8.5. Social media trends

  • 9. AI Value Chain

    • 9.1. Hardware
    • 9.2. Data management
    • 9.3. Foundational AI
    • 9.4. Advanced AI capabilities
    • 9.5. Delivery

  • 10. Companies
  • 11. Sector Scorecards

    • 11.1. Travel intermediaries sector scorecard

  • 12. Glossary
  • 13. Further Reading
  • 14. Our Thematic Research Methodology
  • 15. About GlobalData
  • 16. Contact Us

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