Artificial Intelligence in Travel - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511244277

Publication Date:

November 26, 2024

Pages:

127

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Artificial Intelligence in Travel was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.6%, including software, hardware and services.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/20 of that of the United States.

Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Travel, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence in Travel by region & country, by Type, and by Application.
The Artificial Intelligence in Travel market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Travel.
麻豆原创 Segmentation
By Company
Amadeus
Expedia Group
Booking
Sabre
Airbnb
Skyscanner
Kayak
TripActions
Hopper
TravelPerk
Agoda
Google Travel
Cleartrip
MakeMyTrip
CWT
Segment by Type:
Hardware
Software
Service
Segment by Application
Personalized Recommendations
Virtual Assistants and Chatbots
Sentiment Analysis
Predictive Analytics
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence in Travel manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Artificial Intelligence in Travel in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence in Travel in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 麻豆原创 Overview
1.1 Artificial Intelligence in Travel Product Introduction
1.2 Global Artificial Intelligence in Travel 麻豆原创 Size Forecast
1.3 Artificial Intelligence in Travel 麻豆原创 Trends & Drivers
1.3.1 Artificial Intelligence in Travel Industry Trends
1.3.2 Artificial Intelligence in Travel 麻豆原创 Drivers & Opportunity
1.3.3 Artificial Intelligence in Travel 麻豆原创 Challenges
1.3.4 Artificial Intelligence in Travel 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence in Travel Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence in Travel Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence in Travel Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence in Travel Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence in Travel
2.6 Artificial Intelligence in Travel 麻豆原创 Competitive Analysis
2.6.1 Artificial Intelligence in Travel 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence in Travel Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence in Travel as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software
3.1.3 Service
3.2 Global Artificial Intelligence in Travel Sales Value by Type
3.2.1 Global Artificial Intelligence in Travel Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence in Travel Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence in Travel Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Personalized Recommendations
4.1.2 Virtual Assistants and Chatbots
4.1.3 Sentiment Analysis
4.1.4 Predictive Analytics
4.1.5 Others
4.2 Global Artificial Intelligence in Travel Sales Value by Application
4.2.1 Global Artificial Intelligence in Travel Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence in Travel Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence in Travel Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence in Travel Sales Value by Region
5.1.1 Global Artificial Intelligence in Travel Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence in Travel Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence in Travel Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence in Travel Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence in Travel Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence in Travel Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence in Travel Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence in Travel Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence in Travel Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence in Travel Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence in Travel Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence in Travel Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence in Travel Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence in Travel Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence in Travel Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence in Travel Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence in Travel Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence in Travel Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence in Travel Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence in Travel Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence in Travel Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence in Travel Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence in Travel Sales Value, 2019-2030
6.5.2 China Artificial Intelligence in Travel Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence in Travel Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence in Travel Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence in Travel Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence in Travel Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence in Travel Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence in Travel Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence in Travel Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence in Travel Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence in Travel Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence in Travel Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence in Travel Sales Value, 2019-2030
6.9.2 India Artificial Intelligence in Travel Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence in Travel Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Amadeus
7.1.1 Amadeus Profile
7.1.2 Amadeus Main Business
7.1.3 Amadeus Artificial Intelligence in Travel Products, Services and Solutions
7.1.4 Amadeus Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.1.5 Amadeus Recent Developments
7.2 Expedia Group
7.2.1 Expedia Group Profile
7.2.2 Expedia Group Main Business
7.2.3 Expedia Group Artificial Intelligence in Travel Products, Services and Solutions
7.2.4 Expedia Group Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.2.5 Expedia Group Recent Developments
7.3 Booking
7.3.1 Booking Profile
7.3.2 Booking Main Business
7.3.3 Booking Artificial Intelligence in Travel Products, Services and Solutions
7.3.4 Booking Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.3.5 Sabre Recent Developments
7.4 Sabre
7.4.1 Sabre Profile
7.4.2 Sabre Main Business
7.4.3 Sabre Artificial Intelligence in Travel Products, Services and Solutions
7.4.4 Sabre Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.4.5 Sabre Recent Developments
7.5 Airbnb
7.5.1 Airbnb Profile
7.5.2 Airbnb Main Business
7.5.3 Airbnb Artificial Intelligence in Travel Products, Services and Solutions
7.5.4 Airbnb Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.5.5 Airbnb Recent Developments
7.6 Skyscanner
7.6.1 Skyscanner Profile
7.6.2 Skyscanner Main Business
7.6.3 Skyscanner Artificial Intelligence in Travel Products, Services and Solutions
7.6.4 Skyscanner Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.6.5 Skyscanner Recent Developments
7.7 Kayak
7.7.1 Kayak Profile
7.7.2 Kayak Main Business
7.7.3 Kayak Artificial Intelligence in Travel Products, Services and Solutions
7.7.4 Kayak Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.7.5 Kayak Recent Developments
7.8 TripActions
7.8.1 TripActions Profile
7.8.2 TripActions Main Business
7.8.3 TripActions Artificial Intelligence in Travel Products, Services and Solutions
7.8.4 TripActions Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.8.5 TripActions Recent Developments
7.9 Hopper
7.9.1 Hopper Profile
7.9.2 Hopper Main Business
7.9.3 Hopper Artificial Intelligence in Travel Products, Services and Solutions
7.9.4 Hopper Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.9.5 Hopper Recent Developments
7.10 TravelPerk
7.10.1 TravelPerk Profile
7.10.2 TravelPerk Main Business
7.10.3 TravelPerk Artificial Intelligence in Travel Products, Services and Solutions
7.10.4 TravelPerk Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.10.5 TravelPerk Recent Developments
7.11 Agoda
7.11.1 Agoda Profile
7.11.2 Agoda Main Business
7.11.3 Agoda Artificial Intelligence in Travel Products, Services and Solutions
7.11.4 Agoda Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.11.5 Agoda Recent Developments
7.12 Google Travel
7.12.1 Google Travel Profile
7.12.2 Google Travel Main Business
7.12.3 Google Travel Artificial Intelligence in Travel Products, Services and Solutions
7.12.4 Google Travel Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.12.5 Google Travel Recent Developments
7.13 Cleartrip
7.13.1 Cleartrip Profile
7.13.2 Cleartrip Main Business
7.13.3 Cleartrip Artificial Intelligence in Travel Products, Services and Solutions
7.13.4 Cleartrip Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.13.5 Cleartrip Recent Developments
7.14 MakeMyTrip
7.14.1 MakeMyTrip Profile
7.14.2 MakeMyTrip Main Business
7.14.3 MakeMyTrip Artificial Intelligence in Travel Products, Services and Solutions
7.14.4 MakeMyTrip Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.14.5 MakeMyTrip Recent Developments
7.15 CWT
7.15.1 CWT Profile
7.15.2 CWT Main Business
7.15.3 CWT Artificial Intelligence in Travel Products, Services and Solutions
7.15.4 CWT Artificial Intelligence in Travel Revenue (US$ Million) & (2019-2024)
7.15.5 CWT Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence in Travel Industrial Chain
8.2 Artificial Intelligence in Travel Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence in Travel Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence in Travel Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Amadeus
Expedia Group
Booking
Sabre
Airbnb
Skyscanner
Kayak
TripActions
Hopper
TravelPerk
Agoda
Google Travel
Cleartrip
MakeMyTrip
CWT

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