관광 분야 인공지능(AI) 시장 : 제공 제품별, 유형별, 최종사용자별, 지역별 - 예측(-2030년)

The AI in tourism market is estimated at USD 2.95 billion in 2024 and USD 13.38 billion in 2030 at a Compound Annual Growth Rate (CAGR) of 28.7%. AI has largely improved mobility solutions in the tourism sector, primarily through ridesharing and shuttles. Data analytics and machine learning algorithms optimize the choice of route based on real-time analysis of the traffic data and historical data on vehicles following the most efficient routes to reduce travel time and costs. It can improve operational efficiency, all the while offering the ability for better customer experiences by reducing waiting time and correct arrival estimates.

"By end user, travel industry segment to hold the largest market size during the forecast period."

Algorithms used by travel booking sites lead to more customized recommendations, dynamic pricing, and easier-to-use user interfaces that ease users' comparisons and allow them to make relatively well-informed decisions. It utilizes AI-driven solutions for providing real-time availability and predictive maintenance for its vehicles. In the maritime industries, cruise lines and ferry services use AI to enhance route planning, onboard experiences, and even the possibilities of a safety scenario through analytics. Airlines utilize AI through automated service to customers in the form of chatbots. Optimization of flights, tracking baggage, and other related things all contribute to a better-quality experience. Others include rail and road travel, using AI for scheduling, communicating with passengers, and implementing robust safety measures. AI plays a role in the deep transformation of businesses and how they interact with customers, innovation, and growth in the tourism sector.

"The car rental & mobility providers segment to register the fastest growth rate during the forecast period."

In the tourism sector, end users like car rental and mobility providers have increasingly used AI to improve experience and efficiency in customer services. Fleet management through demand prediction, vehicle availability management, and automation of pricing strategies depending on market conditions is achievable through AI technologies. Some of the other advantages of AI-based applications include providing users with tailored car picks, routes, and real-time traffic updates to make travel smooth and efficient. With AI chatbots and virtual assistants, automobile rental companies can be able to instantaneously provide customer care support, answer all possible questions, and be able to make a booking at reduced operating costs. With increased demand for a seamless mobility solution, AI integration into the car rental service will help companies satisfy their customers but also be ahead of the curve in such fast-moving markets.

"Asia Pacific to hold the highest market growth during the forecast period."

Singapore Changi Airport now has an AI system scanning its runways for debris and wildlife, called iFerret. The cameras come with high definition for the spotting of objects of as small a size of 4 cm. It will be fully functional by end 2024. The Seoul Metropolitan Government launched two services for the foreign visitors who began flocking to the city on the May Day holiday in December 2023. It includes taxi-hailing application, especially used by foreigners, called Tabo, and the real-time translation services at subway stations. The Tabe app is intended for easy ordering of taxis by foreigners, while the translation service will cater to real-time conversations among non-Korean-speaking people through application of AI and voice-to-text technology at major tourist information center. The Japanese government approved a funding of about USD 470 million to be granted to five companies, among them the KDDI Corporation is developing AI technology intended to further enlighten the country on how to leverage tourism sectors in developing visitor experiences and sustainable practices by April 2024. These developments contribute to the promising future growth of Asia Pacific region in the coming years.

In-depth interviews have been conducted with chief executive officers (CEOs), Directors, and other executives from various key organizations operating in the AI in tourism market.

• By Company Type: Tier 1 - 20%, Tier 2 - 50%, and Tier 3 - 30%
• By Designation: C-level -73%, D-level - 18%, and Others - 9%
• By Region: North America - 55%, Europe - 9%, Asia Pacific - 36%

The major players in the AI in tourism market include Snowflake (US), IBM (US), NVIDIA (US), Microsoft (US), AWS (US), Salesforce (US), Appier (Taiwan), Huawei (China), Sabre Corporation (US), SAS Institute (US), [24]7.ai (US), Virtusa Corporation (US), Travelport (UK), Amadeus (Spain), Devox Software (Poland) , AltexSoft (US), Jio Haptik Technologies Limited (India), SHR Group (US), Duve (US), Nexscient (US), Persado (US), Canary Technologies (US), Mize (US), FLYR (US), Geovea (US), Layla AI (Germany). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their AI in tourism market footprint.

Research Coverage

The market study covers the AI in tourism market size across different segments. It aims at estimating the market size and the growth potential across various segments, including by offering (solutions and services) by type (Generative AI, other AI), by end user (travel industry, hospitality industry) and Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants with information on the closest approximations of the global AI in tourism market's revenue numbers and subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the market's pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

Analysis of key drivers (rising adoption of data automation tools to ease the decision-making process, rising demand for highly personalized services to enhance customer experience), restraints (high implementation costs), opportunities (incorporation of AI in areas of tourism revolutionizing customer interaction, emergence of AI-driven applications for flight forecasting), and challenges (concerns related to data privacy and security) influencing the growth of the AI in tourism market.

Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in tourism market.

Market Development: The report provides comprehensive information about lucrative markets and analyses the AI in tourism market across various regions.

Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI in tourism market.

Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading include Snowflake (US), IBM (US), NVIDIA (US), Microsoft (US), AWS (US), Salesforce (US), Huawei (China), Sabre Corporation (US), SAS Institute (US), Appier (Taiwan), [24]7.ai (US), Virtusa Corporation (US), Travelport (UK), Amadeus (Spain), Devox Software (Poland) , AltexSoft (US), Jio Haptik Technologies Limited (India), SHR Group (US), Duve (US), Nexscient (US), Persado (US), Canary Technologies (US), Mize (US), FLYR (US), Geovea (US), Layla AI (Germany).

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 STUDY SCOPE
  • 1.3.1 MARKET SEGMENTATION
  • 1.3.2 INCLUSIONS & EXCLUSIONS
• 1.4 YEARS CONSIDERED
• 1.5 CURRENCY CONSIDERED
• 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY DATA
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 Primary interviews with experts
    • 2.1.2.2 Breakdown of primary profiles
    • 2.1.2.3 Key insights from industry experts
• 2.2 MARKET SIZE ESTIMATION
  • 2.2.1 TOP-DOWN APPROACH
  • 2.2.2 BOTTOM-UP APPROACH
  • 2.2.3 AI IN TOURISM MARKET ESTIMATION: DEMAND-SIDE ANALYSIS
• 2.3 DATA TRIANGULATION
• 2.4 RISK ASSESSMENT
• 2.5 RESEARCH ASSUMPTIONS
• 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 OPPORTUNITIES FOR KEY PLAYERS IN AI IN TOURISM MARKET
• 4.2 AI IN TOURISM MARKET, BY OFFERING
• 4.3 AI IN TOURISM MARKET, BY SERVICE
• 4.4 AI IN TOURISM MARKET, BY PROFESSIONAL SERVICE
• 4.5 AI IN TOURISM MARKET, BY TRAVEL SOLUTION
• 4.6 AI IN TOURISM MARKET, BY HOSPITALITY SOLUTION
• 4.7 AI IN TOURISM MARKET, BY END USERS IN TRAVEL INDUSTRY
• 4.8 AI IN TOURISM MARKET, BY END USERS IN HOSPITALITY INDUSTRY
• 4.9 AI IN TOURISM MARKET, BY TYPE
• 4.10 NORTH AMERICA: AI IN TOURISM MARKET, BY OFFERING AND END USER

5 MARKET OVERVIEW AND INDUSTRY TRENDS

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Rising adoption of data automation tools to ease decision-making process
    • 5.2.1.2 Increasing demand for highly personalized services to enhance customer experience
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 High initial costs
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Incorporation of AI in areas of tourism revolutionizing customer interaction
    • 5.2.3.2 Emergence of AI-driven applications for flight forecasting
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Concerns related to data privacy and security
• 5.3 BRIEF HISTORY OF AI IN TOURISM
• 5.4 ECOSYSTEM ANALYSIS
• 5.5 CASE STUDY ANALYSIS
  • 5.5.1 BOOKING.COM HELPS CUSTOMERS EXPERIENCE NEW WORLD OF TRAVEL USING AWS AND GENERATIVE AI
  • 5.5.2 TRAVELPASS' JOURNEY TO DELIVER MORE CURATED TRAVELER EXPERIENCES - AT HALF COST
  • 5.5.3 A1 INTELIGENCIA EM VIAGENS BOOSTS TEAM EFFICIENCY AND CUSTOMER EXPERIENCE WITH POWER AUTOMATE AND COPILOT STUDIO
  • 5.5.4 HOMARIS ACHIEVED HIGHER GUEST SATISFACTION RATES WITH SMARTPRIORITY BY DUVEAI
• 5.6 SUPPLY CHAIN ANALYSIS
• 5.7 TARIFF AND REGULATORY LANDSCAPE
  • 5.7.1 TARIFF RELATED TO PROCESSORS AND CONTROLLERS (HSN: 854231)
  • 5.7.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.7.3 KEY REGULATIONS: AI IN TOURISM
    • 5.7.3.1 North America
      • 5.7.3.1.1 SCR 17: Artificial Intelligence Bill
      • 5.7.3.1.2 S1103: Artificial Intelligence Automated Decision Bill
      • 5.7.3.1.3 National Artificial Intelligence Initiative Act (NAIIA)
      • 5.7.3.1.4 The Artificial Intelligence and Data Act (AIDA)
    • 5.7.3.2 Europe
      • 5.7.3.2.1 The European Union (EU) - Artificial Intelligence Act (AIA)
      • 5.7.3.2.2 General Data Protection Regulation
    • 5.7.3.3 Asia Pacific
      • 5.7.3.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services
      • 5.7.3.3.2 The National AI Strategy
      • 5.7.3.3.3 The Hiroshima AI Process Comprehensive Policy Framework
    • 5.7.3.4 Middle East & Africa
      • 5.7.3.4.1 The National Strategy for Artificial Intelligence
      • 5.7.3.4.2 The National Artificial Intelligence Strategy
      • 5.7.3.4.3 The AI Ethics Principles and Guidelines
    • 5.7.3.5 Latin America
      • 5.7.3.5.1 The Santiago Declaration
      • 5.7.3.5.2 The Brazilian Artificial Intelligence Strategy (EBIA)
• 5.8 PRICING ANALYSIS
  • 5.8.1 AVERAGE SELLING PRICE TREND AMONG KEY PLAYERS, BY SOLUTION
  • 5.8.2 INDICATIVE PRICING ANALYSIS, BY OFFERING
• 5.9 TECHNOLOGY ANALYSIS
  • 5.9.1 KEY TECHNOLOGIES
    • 5.9.1.1 Conversational AI
    • 5.9.1.2 Autonomous AI & autonomous agent
    • 5.9.1.3 AutoML
    • 5.9.1.4 Causal AI
    • 5.9.1.5 MLOps
  • 5.9.2 COMPLEMENTARY TECHNOLOGIES
    • 5.9.2.1 Blockchain
    • 5.9.2.2 Edge computing
    • 5.9.2.3 Sensors and robotics
    • 5.9.2.4 Cybersecurity
  • 5.9.3 ADJACENT TECHNOLOGIES
    • 5.9.3.1 Big Data
    • 5.9.3.2 IoT
    • 5.9.3.3 Augmented Reality (AR)/Virtual Reality (VR)
• 5.10 PATENT ANALYSIS
  • 5.10.1 LIST OF MAJOR PATENTS
• 5.11 PORTER'S FIVE FORCES ANALYSIS
  • 5.11.1 THREAT OF NEW ENTRANTS
  • 5.11.2 THREAT OF SUBSTITUTES
  • 5.11.3 BARGAINING POWER OF BUYERS
  • 5.11.4 BARGAINING POWER OF SUPPLIERS
  • 5.11.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.13.1.1 Buying criteria
• 5.14 KEY CONFERENCES AND EVENTS, 2025
• 5.15 TECHNOLOGY ROADMAP FOR AI IN TOURISM MARKET
  • 5.15.1 SHORT-TERM ROADMAP (2024-2025)
  • 5.15.2 MID-TERM ROADMAP (2026-2028)
  • 5.15.3 LONG-TERM ROADMAP (2029-2030)
• 5.16 BEST PRACTICES IN AI IN TOURISM MARKET
  • 5.16.1 PERSONALIZATION AND CUSTOMER-CENTRIC APPROACH
  • 5.16.2 SEAMLESS AI INTEGRATION WITH EXISTING SYSTEMS
  • 5.16.3 REAL-TIME DATA UTILIZATION
  • 5.16.4 ENHANCING OPERATIONAL EFFICIENCY
  • 5.16.5 DATA PRIVACY AND SECURITY COMPLIANCE
  • 5.16.6 AI FOR SUSTAINABILITY
  • 5.16.7 CONTINUOUS LEARNING AND IMPROVEMENT
  • 5.16.8 HUMAN-AI COLLABORATION
  • 5.16.9 TRANSPARENCY AND TRUST
  • 5.16.10 MONITORING AND MAINTENANCE
• 5.17 CURRENT AND EMERGING BUSINESS MODELS
  • 5.17.1 SUBSCRIPTION SERVICES
  • 5.17.2 DYNAMIC PRICING
  • 5.17.3 SERVICE FEES
  • 5.17.4 DATA MONETIZATION
  • 5.17.5 AI-ENHANCED LOYALTY PROGRAMS
  • 5.17.6 CUSTOMIZED TRAVEL PACKAGES
  • 5.17.7 ANCILLARY REVENUE STREAMS
  • 5.17.8 AI-POWERED TRAVEL ANALYTICS
• 5.18 AI IN TOURISM MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES
• 5.19 TRADE ANALYSIS (8542)
  • 5.19.1 EXPORT SCENARIO OF PROCESSORS AND CONTROLLERS
  • 5.19.2 IMPORT SCENARIO OF PROCESSORS AND CONTROLLERS
• 5.20 INVESTMENT AND FUNDING SCENARIO
• 5.21 IMPACT OF ARTIFICIAL INTELLIGENCE (AI)/GENERATIVE AI ON TOURISM
  • 5.21.1 IMPACT OF AI/GENERATIVE AI ON TOURISM
  • 5.21.2 USE CASES OF GENERATIVE AI IN TOURISM

6 AI IN TOURISM MARKET, BY OFFERING

• 6.1 INTRODUCTION
  • 6.1.1 OFFERING: AI IN TOURISM DRIVERS
• 6.2 SOLUTIONS
  • 6.2.1 TRAVEL
    • 6.2.1.1 Booking management system
      • 6.2.1.1.1 AI-powered automated booking to drive market growth
    • 6.2.1.2 Virtual assistants & chatbots
      • 6.2.1.2.1 AI-driven chatbots tailor suggestions to traveler preferences, enhancing satisfaction and market growth
    • 6.2.1.3 Pricing & revenue management
      • 6.2.1.3.1 AI-based solutions rapidly adapt to market shifts and demand changes, driving market growth
    • 6.2.1.4 Customer experience management
      • 6.2.1.4.1 AI automates inquiries and processes, enabling staff to focus on complex needs and enhance service quality, driving growth
    • 6.2.1.5 Security & surveillance systems
      • 6.2.1.5.1 AI helps in early threat detection and improves passenger experience, driving growth
    • 6.2.1.6 Other travel solutions
  • 6.2.2 HOSPITALITY
    • 6.2.2.1 Booking management system
      • 6.2.2.1.1 AI-driven systems streamline reservation process, reducing manual errors and increasing efficiency, driving growth
    • 6.2.2.2 Virtual assistant & chatbots
      • 6.2.2.2.1 Chatbots collect real-time guest feedback, delivering insights that enhance services and drive market growth
    • 6.2.2.3 Pricing & revenue management
      • 6.2.2.3.1 Automating pricing decisions and optimizing revenue enhances profit margins, driving market
    • 6.2.2.4 Customer experience management
      • 6.2.2.4.1 Automated sentiment analysis enhances guest satisfaction, driving market
    • 6.2.2.5 Security & surveillance system
      • 6.2.2.5.1 Improved facial recognition and behavior analysis by leveraging AI to drive market growth
    • 6.2.2.6 Operational efficiency and resource management
      • 6.2.2.6.1 AI-driven systems predicting equipment failures and maintenance needs driving market growth
    • 6.2.2.7 Other hospitality solutions
• 6.3 SERVICES
  • 6.3.1 PROFESSIONAL SERVICES
    • 6.3.1.1 Personalized training programs and seamless integration of AI solutions in existing infrastructure to drive market growth
    • 6.3.1.2 Consulting
    • 6.3.1.3 System integration & implementation
    • 6.3.1.4 Support & maintenance
  • 6.3.2 MANAGED SERVICES
    • 6.3.2.1 Outsourcing AI management that reduces system failures and disruptions through experienced providers to drive market growth

7 AI IN TOURISM MARKET, BY TYPE

• 7.1 INTRODUCTION
  • 7.1.1 TYPE: AI IN TOURISM DRIVERS
• 7.2 OTHER AI
  • 7.2.1 TECHNOLOGIES SUCH AS ML AND NLP IMPROVE SERVICES BY IDENTIFYING CUSTOMER BEHAVIOR TRENDS TO DRIVE MARKET
  • 7.2.2 MACHINE LEARNING
  • 7.2.3 NATURAL LANGUAGE PROCESSING
  • 7.2.4 PREDICTIVE ANALYTICS
  • 7.2.5 COMPUTER VISION
• 7.3 GENERATIVE AI
  • 7.3.1 AI-BASED VIRTUAL TOURS AND GENERATION OF PERSONALIZED CONTENT AND RECOMMENDATION TO DRIVE MARKET

8 AI IN TOURISM MARKET, BY END USER

• 8.1 INTRODUCTION
  • 8.1.1 END USER: AI IN TOURISM DRIVERS
• 8.2 TRAVEL INDUSTRY
  • 8.2.1 AVIATION
    • 8.2.1.1 AI optimizes operations and reduces delays
  • 8.2.2 CAR RENTAL AND MOBILITY PROVIDERS
    • 8.2.2.1 AI-powered chatbots and virtual assistants to drive growth
  • 8.2.3 MARITIME TRAVEL
    • 8.2.3.1 AI algorithms save time and fuel by analyzing weather and traffic patterns to recommend optimal routes
  • 8.2.4 OTHER END USERS
• 8.3 HOSPITALITY INDUSTRY
  • 8.3.1 HOTELS
    • 8.3.1.1 AI analyzes occupancy patterns to optimize staff scheduling, reducing costs and driving market growth
  • 8.3.2 RESORTS & THEME PARKS
    • 8.3.2.1 AI apps offer real-time navigation, helping guests find attractions and services efficiently, driving market growth
  • 8.3.3 CRUISE LINE OPERATORS
    • 8.3.3.1 AI optimizes resource use, supporting sustainability and driving market growth
  • 8.3.4 OTHER END USERS

9 AI IN TOURISM MARKET, BY REGION

• 9.1 INTRODUCTION
• 9.2 NORTH AMERICA
  • 9.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK
  • 9.2.2 US
    • 9.2.2.1 Increased AI adoption in hospitality sector to drive market growth
  • 9.2.3 CANADA
    • 9.2.3.1 Government investments in AI technologies to boost market growth
• 9.3 EUROPE
  • 9.3.1 EUROPE: MACROECONOMIC OUTLOOK
  • 9.3.2 UK
    • 9.3.2.1 Strong focus on improving customer experiences and passenger safety to drive market growth
  • 9.3.3 GERMANY
    • 9.3.3.1 Strong focus on Industry 4.0 and smart manufacturing to drive market growth
  • 9.3.4 FRANCE
    • 9.3.4.1 Increasing adoption of AI in aviation and investments by major players to drive growth
  • 9.3.5 ITALY
    • 9.3.5.1 Public investments and collaboration between private players to drive market growth
  • 9.3.6 SPAIN
    • 9.3.6.1 Rising integration of AI in popular tourist spots and AI-powered virtual guides to drive market growth
  • 9.3.7 NORDIC COUNTRIES
    • 9.3.7.1 Increasing demand for AI in aviation and maritime sector to drive market growth
  • 9.3.8 REST OF EUROPE
• 9.4 ASIA PACIFIC
  • 9.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK
  • 9.4.2 CHINA
    • 9.4.2.1 Rising security demands and surge in tourism to drive market growth
  • 9.4.3 JAPAN
    • 9.4.3.1 Japan leveraging AI to enhance visitor experiences to drive sustainable market growth
  • 9.4.4 INDIA
    • 9.4.4.1 Growing demand for smart infrastructure for enhancing travel experience to drive market growth
  • 9.4.5 AUSTRALIA & NEW ZEALAND
    • 9.4.5.1 Enhanced customer experience at airports through AI-based solution to drive growth
  • 9.4.6 SOUTH KOREA
    • 9.4.6.1 AI-based translation services to drive market growth
  • 9.4.7 ASEAN
    • 9.4.7.1 Government initiatives for increasing tourism to drive AI in tourism market growth
  • 9.4.8 REST OF ASIA PACIFIC
• 9.5 MIDDLE EAST & AFRICA
  • 9.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
  • 9.5.2 KSA
    • 9.5.2.1 Need for digital transformation under Vision 2030 to propel AI in tourism market
  • 9.5.3 UAE
    • 9.5.3.1 Investments in AI and medical tourism to drive market growth
  • 9.5.4 KUWAIT
    • 9.5.4.1 Tourism city initiative to boost AI in tourism market growth
  • 9.5.5 QATAR
    • 9.5.5.1 Government-driven digitalization to drive growth
  • 9.5.6 SOUTH AFRICA
    • 9.5.6.1 Increasing AI adoption to transform customer experiences in airports to drive market
  • 9.5.7 REST OF MIDDLE EAST & AFRICA
• 9.6 LATIN AMERICA
  • 9.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
  • 9.6.2 BRAZIL
    • 9.6.2.1 Digital transformation in Brazilian tourism sector to drive market growth
  • 9.6.3 MEXICO
    • 9.6.3.1 Investments by major players and increasing utilization of AI-based solutions in hospitality sector to drive market
  • 9.6.4 ARGENTINA
    • 9.6.4.1 Growing digital economy and increasing tech-savvy population contributing to the adoption
  • 9.6.5 REST OF LATIN AMERICA

10 COMPETITIVE LANDSCAPE

• 10.1 INTRODUCTION
• 10.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
• 10.3 MARKET SHARE ANALYSIS
  • 10.3.1 MARKET RANKING ANALYSIS
• 10.4 REVENUE ANALYSIS
• 10.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
  • 10.5.1 STARS
  • 10.5.2 EMERGING LEADERS
  • 10.5.3 PERVASIVE PLAYERS
  • 10.5.4 PARTICIPANTS
  • 10.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 10.5.5.1 Offering footprint
    • 10.5.5.2 End user footprint
    • 10.5.5.3 Region footprint
• 10.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
  • 10.6.1 PROGRESSIVE COMPANIES
  • 10.6.2 RESPONSIVE COMPANIES
  • 10.6.3 DYNAMIC COMPANIES
  • 10.6.4 STARTING BLOCKS
  • 10.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 10.6.5.1 Detailed list of key startups/SMEs
    • 10.6.5.2 Competitive benchmarking of key startups/SMEs
• 10.7 COMPETITIVE SCENARIO AND TRENDS
  • 10.7.1 PRODUCT LAUNCHES
  • 10.7.2 DEALS
• 10.8 BRAND/PRODUCT COMPARISON
• 10.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY AI IN TOURISM SOLUTION PROVIDERS

11 COMPANY PROFILES

• 11.1 KEY PLAYERS
  • 11.1.1 SNOWFLAKE INC.
    • 11.1.1.1 Business overview
    • 11.1.1.2 Products/Solutions/Services offered
    • 11.1.1.3 Recent developments
      • 11.1.1.3.1 Product launches and enhancements
      • 11.1.1.3.2 Deals
    • 11.1.1.4 MnM View
      • 11.1.1.4.1 Key strengths
      • 11.1.1.4.2 Strategic choices
      • 11.1.1.4.3 Weaknesses and competitive threats
  • 11.1.2 SALESFORCE, INC.
    • 11.1.2.1 Business overview
    • 11.1.2.2 Products/Solutions/Services offered
    • 11.1.2.3 Recent developments
      • 11.1.2.3.1 Deals
    • 11.1.2.4 MnM View
      • 11.1.2.4.1 Key strengths
      • 11.1.2.4.2 Strategic choices
      • 11.1.2.4.3 Weaknesses and competitive threats
  • 11.1.3 AMAZON WEB SERVICES, INC.
    • 11.1.3.1 Business overview
    • 11.1.3.2 Products/Solutions/Services offered
    • 11.1.3.3 Recent developments
      • 11.1.3.3.1 Deals
    • 11.1.3.4 MnM View
      • 11.1.3.4.1 Key strengths
      • 11.1.3.4.2 Strategic choices
      • 11.1.3.4.3 Weaknesses and competitive threats
  • 11.1.4 IBM
    • 11.1.4.1 Business overview
    • 11.1.4.2 Products/Solutions/Services offered
    • 11.1.4.3 Recent developments
      • 11.1.4.3.1 Deals
    • 11.1.4.4 MnM View
      • 11.1.4.4.1 Key strengths
      • 11.1.4.4.2 Strategic choices
      • 11.1.4.4.3 Weaknesses and competitive threats
  • 11.1.5 MICROSOFT CORPORATION, INC.
    • 11.1.5.1 Business overview
    • 11.1.5.2 Products/Solutions/Services offered
    • 11.1.5.3 Recent developments
      • 11.1.5.3.1 Deals
    • 11.1.5.4 MnM View
      • 11.1.5.4.1 Key strengths
      • 11.1.5.4.2 Strategic choices
      • 11.1.5.4.3 Weaknesses and competitive threats
  • 11.1.6 NVIDIA CORPORATION
    • 11.1.6.1 Business overview
    • 11.1.6.2 Products/Solutions/Services offered
    • 11.1.6.3 Recent developments
      • 11.1.6.3.1 Deals
  • 11.1.7 SAS INSTITUTE
    • 11.1.7.1 Business overview
    • 11.1.7.2 Products/Solutions/Services offered
    • 11.1.7.3 Recent developments
      • 11.1.7.3.1 Deals
  • 11.1.8 SABRE CORPORATION
    • 11.1.8.1 Business overview
    • 11.1.8.2 Products/Solutions/Services offered
    • 11.1.8.3 Recent developments
      • 11.1.8.3.1 Product launches and enhancements
  • 11.1.9 HUAWEI
    • 11.1.9.1 Business overview
    • 11.1.9.2 Products/Solutions/Services offered
    • 11.1.9.3 Recent developments
      • 11.1.9.3.1 Deals
  • 11.1.10 [24]7.AI
  • 11.1.11 VIRTUSA CORPORATION
  • 11.1.12 APPIER INC.
  • 11.1.13 TRAVELPORT WORLDWIDE LTD
  • 11.1.14 AMADEUS IT GROUP, S.A.
  • 11.1.15 ZENDESK
• 11.2 STARTUPS/SMES
  • 11.2.1 DEVOX SOFTWARE
  • 11.2.2 ALTEXSOFT
  • 11.2.3 JIO HAPTIK TECHNOLOGIES LIMITED
  • 11.2.4 SHR GROUP
  • 11.2.5 DUVE
  • 11.2.6 NEXSCIENT
  • 11.2.7 PERSADO
  • 11.2.8 CANARY TECHNOLOGIES
  • 11.2.9 MIZE
  • 11.2.10 FLYR
  • 11.2.11 GEOVEA
  • 11.2.12 LAYLA AI

12 ADJACENT/RELATED MARKETS

• 12.1 INTRODUCTION
  • 12.1.1 MARKET DEFINITION
• 12.2 CONVERSATIONAL AI MARKET
  • 12.2.1 MARKET OVERVIEW
  • 12.2.2 CONVERSATIONAL AI MARKET, BY OFFERING
• 12.3 SERVICES
  • 12.3.1 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION
  • 12.3.2 CONVERSATIONAL AI MARKET, BY INTEGRATION MODE
  • 12.3.3 CONVERSATIONAL AI MARKET, BY VERTICAL
• 12.4 CUSTOMER EXPERIENCE MANAGEMENT MARKET
  • 12.4.1 MARKET DEFINITION
  • 12.4.2 MARKET OVERVIEW
  • 12.4.3 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY OFFERING
  • 12.4.4 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY DEPLOYMENT TYPE
  • 12.4.5 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY ORGANIZATION SIZE
  • 12.4.6 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY VERTICAL

13 APPENDIX

• 13.1 DISCUSSION GUIDE
• 13.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 13.3 CUSTOMIZATION OPTIONS
• 13.4 RELATED REPORTS
• 13.5 AUTHOR DETAILS