This report provides a comprehensive analysis of the global AI in tourism market, examining its rapid expansion driven by demand for personalized customer experiences and operational efficiency. The study covers key segments including generative AI, travel industry applications, and mobility providers, noting that the car rental segment is poised for the fastest growth. While the travel industry remains the largest end-user, the Asia Pacific region is expected to witness the highest growth rate. Furthermore, the report evaluates competitive strategies and technological innovations among major global players.

Market Overview

The global AI in tourism market is valued at USD 2.95 billion in 2024 and is projected to reach USD 13.38 billion by 2030, growing at a Compound Annual Growth Rate (CAGR) of 28.7%.

AI is driving a deep transformation in the tourism sector, influencing business innovation, growth, and customer interaction. Key technological impacts include:

• Mobility Solutions: Significant improvements in ridesharing and shuttles through data analytics and machine learning. Algorithms optimize routes via real-time and historical traffic analysis, reducing travel time and costs while enhancing operational efficiency and customer experience through better arrival estimates and reduced waiting times.
• Travel Booking: Algorithms enable customized recommendations, dynamic pricing, and intuitive user interfaces that facilitate informed decision-making.
• Maritime Industry: Cruise lines and ferry services utilize AI for enhanced route planning, onboard experiences, and safety scenario analytics.
• Airlines: Implementation of automated customer service via chatbots, flight optimization, and baggage tracking to improve service quality.
• Rail and Road Travel: Use of AI for scheduling, passenger communication, and the implementation of robust safety measures.

Market Segmentation

By Offering

• Solutions
• Services

By Type

• Generative AI
• Other AI

By End User

• Travel Industry: Expected to hold the largest market size during the forecast period.
• Hospitality Industry
• Car Rental & Mobility Providers: Expected to register the fastest growth rate during the forecast period. This segment utilizes AI for:
• Fleet management (demand prediction, vehicle availability, and automated pricing strategies).
• Tailored user experiences (personalized car selections, routes, and real-time traffic updates).
• Customer support (AI chatbots and virtual assistants for instantaneous service and reduced operating costs).

By Region

• North America
• Europe
• Asia Pacific: Projected to hold the highest market growth during the forecast period.
• Middle East & Africa
• Latin America

Regional Spotlight: Asia Pacific

Significant developments in the Asia Pacific region contribute to its promising growth:

• Singapore: Changi Airport is implementing 'iFerret,' an AI system using high-definition cameras to scan runways for debris and wildlife (capable of spotting objects as small as 4 cm), with full functionality expected by the end of 2024.
• South Korea: The Seoul Metropolitan Government launched services for foreign visitors in December 2023, including 'Tabo' (a taxi-hailing app for foreigners) and real-time AI-driven voice-to-text translation services at major tourist information centers and subway stations.
• Japan: The government approved approximately USD 470 million in funding for five companies (including KDDI Corporation) to develop AI technologies aimed at leveraging the tourism sector for enhanced visitor experiences and sustainable practices by April 2024.

Competitive Landscape

Key Players

The following companies are major participants in the market, employing strategies such as partnerships, collaborations, agreements, new product launches, enhancements, and acquisitions:

• AltexSoft (US)
• Amadeus (Spain)
• Appier (Taiwan)
• AWS (US)
• [24]7.ai (US)
• Canary Technologies (US)
• Devox Software (Poland)
• Duve (US)
• FLYR (US)
• Geovea (US)
• Huawei (China)
• IBM (US)
• Jio Haptik Technologies Limited (India)
• Layla AI (Germany)
• Microsoft (US)
• Mize (US)
• Nexscient (US)
• NVIDIA (US)
• Persado (US)
• Sabre Corporation (US)
• Salesforce (US)
• SAS Institute (US)
• SHR Group (US)
• Snowflake (US)
• Travelport (UK)
• Virtusa Corporation (US)

Interview Methodology & Demographics

In-depth interviews were conducted with CEOs, Directors, and other executives from key organizations. The respondent profile is as follows:

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

Research Coverage & Insights

Scope of Study

The report provides an estimation of market size and growth potential across all segments, including an in-depth competitive analysis of leading players, company profiles, product/business offerings, recent developments, and market strategies.

Market Dynamics

• Drivers: Rising adoption of data automation tools for decision-making; rising demand for highly personalized customer services.
• Restraints: High implementation costs.
• Opportunities: Incorporation of AI to revolutionize customer interaction in tourism; emergence of AI-driven applications for flight forecasting.
• Challenges: Concerns regarding data privacy and security.

Strategic Analysis Pillars

• Product Development/Innovation: Insights into upcoming technologies, R&D activities, and new product/service launches.
• Market Development: Comprehensive analysis of lucrative markets across various regions.
• Market Diversification: Information regarding untapped geographies, new products/services, recent developments, and investments.
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading market players.

Key Benefits of the Report

• For Market Leaders & New Entrants: Provides closest approximations of global revenue numbers and subsegments to assist in positioning and go-to-market strategies.
• For Stakeholders: Offers a deep understanding of the competitive landscape, market pulse, drivers, restraints, challenges, and opportunities.

• 1 INTRODUCTION 31

  • 1.1 STUDY OBJECTIVES 31

  • 1.2 MARKET DEFINITION 31

  • 1.3 STUDY SCOPE 32

    • 1.3.1 MARKET SEGMENTATION 32

    • 1.3.2 INCLUSIONS & EXCLUSIONS 33

  • 1.4 YEARS CONSIDERED 34

  • 1.5 CURRENCY CONSIDERED 34

  • 1.6 STAKEHOLDERS 35

• 2 RESEARCH METHODOLOGY 36

  • 2.1 RESEARCH DATA 36

    • 2.1.1 SECONDARY DATA 37

    • 2.1.2 PRIMARY DATA 37

      • 2.1.2.1 Primary interviews with experts 37
      • 2.1.2.2 Breakdown of primary profiles 38
      • 2.1.2.3 Key insights from industry experts 38

  • 2.2 MARKET SIZE ESTIMATION 39

    • 2.2.1 TOP-DOWN APPROACH 40

    • 2.2.2 BOTTOM-UP APPROACH 41

    • 2.2.3 AI IN TOURISM MARKET ESTIMATION: DEMAND-SIDE ANALYSIS 42

  • 2.3 DATA TRIANGULATION 43

  • 2.4 RISK ASSESSMENT 44

  • 2.5 RESEARCH ASSUMPTIONS 44

  • 2.6 RESEARCH LIMITATIONS 44

• 3 EXECUTIVE SUMMARY 45

• 4 PREMIUM INSIGHTS 47

  • 4.1 OPPORTUNITIES FOR KEY PLAYERS IN AI IN TOURISM MARKET 47

  • 4.2 AI IN TOURISM MARKET, BY OFFERING 47

  • 4.3 AI IN TOURISM MARKET, BY SERVICE 48

  • 4.4 AI IN TOURISM MARKET, BY PROFESSIONAL SERVICE 48

  • 4.5 AI IN TOURISM MARKET, BY TRAVEL SOLUTION 48

  • 4.6 AI IN TOURISM MARKET, BY HOSPITALITY SOLUTION 49

  • 4.7 AI IN TOURISM MARKET, BY END USERS IN TRAVEL INDUSTRY 49

  • 4.8 AI IN TOURISM MARKET, BY END USERS IN HOSPITALITY INDUSTRY 50

  • 4.9 AI IN TOURISM MARKET, BY TYPE 50

  • 4.10 NORTH AMERICA: AI IN TOURISM MARKET, OFFERINGS AND END USERS 51

• 5 MARKET OVERVIEW AND INDUSTRY TRENDS 52

  • 5.1 INTRODUCTION 52

  • 5.2 MARKET DYNAMICS 52

    • 5.2.1 DRIVERS 53

      • 5.2.1.1 Rising adoption of data automation tools to ease decision-making process 53
      • 5.2.1.2 Increasing demand for highly personalized services to enhance customer experience 53

    • 5.2.2 RESTRAINTS 53

      • 5.2.2.1 High initial costs 53

    • 5.2.3 OPPORTUNITIES 54

      • 5.2.3.1 Incorporation of AI in areas of tourism revolutionizing customer interaction 54
      • 5.2.3.2 Emergence of AI-driven applications for flight forecasting 54

    • 5.2.4 CHALLENGES 54

      • 5.2.4.1 Concerns related to data privacy and security 54

  • 5.3 BRIEF HISTORY OF AI IN TOURISM 55

  • 5.4 ECOSYSTEM ANALYSIS 56

  • 5.5 CASE STUDY ANALYSIS 58

    • 5.5.1 BOOKING.COM HELPS CUSTOMERS EXPERIENCE NEW WORLD OF TRAVEL USING AWS AND GENERATIVE AI 58

    • 5.5.2 TRAVELPASS’ JOURNEY TO DELIVER MORE CURATED TRAVELER EXPERIENCES - AT HALF COST 59

    • 5.5.3 A1 INTELIGENCIA EM VIAGENS BOOSTS TEAM EFFICIENCY AND CUSTOMER EXPERIENCE WITH POWER AUTOMATE AND COPILOT STUDIO 60

    • 5.5.4 HOMARIS ACHIEVED HIGHER GUEST SATISFACTION RATES WITH SMARTPRIORITY BY DUVEAI 61

  • 5.6 SUPPLY CHAIN ANALYSIS 62

  • 5.7 TARIFF AND REGULATORY LANDSCAPE 63

    • 5.7.1 TARIFF RELATED TO PROCESSORS AND CONTROLLERS (HSN: 854231) 63

    • 5.7.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 65

    • 5.7.3 KEY REGULATIONS: AI IN TOURISM 68

      • 5.7.3.1 North America 68
        • 5.7.3.1.1 SCR 17: Artificial Intelligence Bill 68
        • 5.7.3.1.2 S1103: Artificial Intelligence Automated Decision Bill 68
        • 5.7.3.1.3 National Artificial Intelligence Initiative Act (NAIIA) 68
        • 5.7.3.1.4 The Artificial Intelligence and Data Act (AIDA) 69
      • 5.7.3.2 Europe 69
        • 5.7.3.2.1 The European Union (EU) - Artificial Intelligence Act (AIA) 69
        • 5.7.3.2.2 General Data Protection Regulation 70
      • 5.7.3.3 Asia Pacific 70
        • 5.7.3.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services 70
        • 5.7.3.3.2 The National AI Strategy 71
        • 5.7.3.3.3 The Hiroshima AI Process Comprehensive Policy Framework 71
      • 5.7.3.4 Middle East & Africa 72
        • 5.7.3.4.1 The National Strategy for Artificial Intelligence 72
        • 5.7.3.4.2 The National Artificial Intelligence Strategy 72
        • 5.7.3.4.3 The AI Ethics Principles and Guidelines 73
      • 5.7.3.5 Latin America 73
        • 5.7.3.5.1 The Santiago Declaration 73
        • 5.7.3.5.2 The Brazilian Artificial Intelligence Strategy (EBIA) 73

  • 5.8 PRICING ANALYSIS 74

    • 5.8.1 AVERAGE SELLING PRICE TREND AMONG KEY PLAYERS

    • 5.8.2 INDICATIVE PRICING ANALYSIS, BY OFFERING 74

  • 5.9 TECHNOLOGY ANALYSIS 75

    • 5.9.1 KEY TECHNOLOGIES 75

      • 5.9.1.1 Conversational AI 75
      • 5.9.1.2 Autonomous AI & autonomous agent 75
      • 5.9.1.3 AutoML 75
      • 5.9.1.4 Causal AI 75
      • 5.9.1.5 MLOps 76

    • 5.9.2 COMPLEMENTARY TECHNOLOGIES 76

      • 5.9.2.1 Blockchain 76
      • 5.9.2.2 Edge computing 76
      • 5.9.2.3 Sensors and robotics 76
      • 5.9.2.4 Cybersecurity 77

    • 5.9.3 ADJACENT TECHNOLOGIES 77

      • 5.9.3.1 Big Data 77
      • 5.9.3.2 IoT 77
      • 5.9.3.3 Augmented Reality (AR)/Virtual Reality (VR) 78

  • 5.10 PATENT ANALYSIS 78

    • 5.10.1 LIST OF MAJOR PATENTS 79

  • 5.11 PORTER’S FIVE FORCES ANALYSIS 80

    • 5.11.1 THREAT OF NEW ENTRANTS 81

    • 5.11.2 THREAT OF SUBSTITUTES 81

    • 5.11.3 BARGAINING POWER OF BUYERS 82

    • 5.11.4 BARGAINING POWER OF SUPPLIERS 82

    • 5.11.5 INTENSITY OF COMPETITIVE RIVALRY 82

  • 5.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 82

  • 5.13 KEY STAKEHOLDERS AND BUYING CRITERIA 83

    • 5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS 83

      • 5.13.1.1 Buying criteria 84

  • 5.14 KEY CONFERENCES AND EVENTS, 2024-2025 85

  • 5.15 TECHNOLOGY ROADMAP FOR AI IN TOURISM MARKET 85

    • 5.15.1 SHORT-TERM ROADMAP (2023-2025) 85

    • 5.15.2 MID-TERM ROADMAP (2026-2028) 86

    • 5.15.3 LONG-TERM ROADMAP (2029-2030) 86

  • 5.16 BEST PRACTICES IN AI IN TOURISM MARKET 86

    • 5.16.1 PERSONALIZATION AND CUSTOMER-CENTRIC APPROACH 86

    • 5.16.2 SEAMLESS AI INTEGRATION WITH EXISTING SYSTEMS 86

    • 5.16.3 REAL-TIME DATA UTILIZATION 86

    • 5.16.4 ENHANCING OPERATIONAL EFFICIENCY 86

    • 5.16.5 DATA PRIVACY AND SECURITY COMPLIANCE 87

    • 5.16.6 AI FOR SUSTAINABILITY 87

    • 5.16.7 CONTINUOUS LEARNING AND IMPROVEMENT 87

    • 5.16.8 HUMAN-AI COLLABORATION 87

    • 5.16.9 TRANSPARENCY AND TRUST 87

    • 5.16.10 MONITORING AND MAINTENANCE 87

  • 5.17 CURRENT AND EMERGING BUSINESS MODELS 87

    • 5.17.1 SUBSCRIPTION SERVICES 87

    • 5.17.2 DYNAMIC PRICING 87

    • 5.17.3 SERVICE FEES 87

    • 5.17.4 DATA MONETIZATION 88

    • 5.17.5 AI-ENHANCED LOYALTY PROGRAMS 88

    • 5.17.6 CUSTOMIZED TRAVEL PACKAGES 88

    • 5.17.7 ANCILLARY REVENUE STREAMS 88

    • 5.17.8 AI-POWERED TRAVEL ANALYTICS 88

  • 5.18 AI IN TOURISM MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES 88

  • 5.19 TRADE ANALYSIS (8542) 89

    • 5.19.1 EXPORT SCENARIO OF PROCESSORS AND CONTROLLERS 89

    • 5.19.2 IMPORT SCENARIO OF PROCESSORS AND CONTROLLERS 90

  • 5.20 INVESTMENT AND FUNDING SCENARIO 92

  • 5.21 IMPACT OF ARTIFICIAL INTELLIGENCE (AI)/GENERATIVE AI ON TOURISM 92

    • 5.21.1 IMPACT OF AI/GENERATIVE AI ON TOURISM 92

    • 5.21.2 USE CASES OF GENERATIVE AI IN TOURISM 93

• 6 AI IN TOURISM MARKET, BY OFFERING 94

  • 6.1 INTRODUCTION 95

    • 6.1.1 OFFERING: AI IN TOURISM DRIVERS 95

  • 6.2 SOLUTIONS 96

    • 6.2.1 TRAVEL 97

      • 6.2.1.1 Booking management system 98
        • 6.2.1.1.1 AI-powered automated booking to drive market growth 98
      • 6.2.1.2 Virtual assistants & chatbots 99
        • 6.2.1.2.1 AI-driven chatbots tailor suggestions to traveler preferences, enhancing satisfaction and market growth 99
      • 6.2.1.3 Pricing & revenue management 100
        • 6.2.1.3.1 AI-based solutions rapidly adapt to market shifts and demand changes, driving market growth 100
      • 6.2.1.4 Customer experience management 101
        • 6.2.1.4.1 AI automates inquiries and processes, enabling staff to focus on complex needs and enhance service quality, driving growth 101
      • 6.2.1.5 Security & surveillance systems 102
        • 6.2.1.5.1 AI helps in early threat detection and improves passenger experience, driving growth 102
      • 6.2.1.6 Other travel solutions 103

    • 6.2.2 HOSPITALITY 104

      • 6.2.2.1 Booking management system 105
        • 6.2.2.1.1 AI-driven systems streamline reservation process, reducing manual errors and increasing efficiency, driving growth 105
      • 6.2.2.2 Virtual assistant & chatbots 106
        • 6.2.2.2.1 Chatbots collect real-time guest feedback, delivering insights that enhance services and drive market growth 106
      • 6.2.2.3 Pricing & revenue management 107
        • 6.2.2.3.1 Automating pricing decisions and optimizing revenue enhances profit margins, driving market 107
      • 6.2.2.4 Customer experience management 108
        • 6.2.2.4.1 Automated sentiment analysis enhances guest satisfaction, driving market 108
      • 6.2.2.5 Security & surveillance system 109
        • 6.2.2.5.1 Improved facial recognition and behavior analysis by leveraging AI to drive market growth 109
      • 6.2.2.6 Operational efficiency and resource management 110
        • 6.2.2.6.1 AI-driven systems predicting equipment failures and maintenance needs driving market growth 110
      • 6.2.2.7 Other hospitality solutions 111

  • 6.3 SERVICES 112

    • 6.3.1 PROFESSIONAL SERVICES 113

      • 6.3.1.1 Personalized training programs and seamless integration of AI solutions in existing infrastructure to drive market growth 113
      • 6.3.1.2 Consulting 115
      • 6.3.1.3 System integration & implementation 116
      • 6.3.1.4 Support & maintenance 117

    • 6.3.2 MANAGED SERVICES 118

      • 6.3.2.1 Outsourcing AI management that reduces system failures and disruptions through experienced providers to drive market growth 118

• 7 AI IN TOURISM MARKET, BY TYPE 119

  • 7.1 INTRODUCTION 120

    • 7.1.1 TYPE: AI IN TOURISM DRIVERS 120

  • 7.2 OTHER AI 121

    • 7.2.1 TECHNOLOGIES SUCH AS ML AND NLP IMPROVE SERVICES BY IDENTIFYING CUSTOMER BEHAVIOR TRENDS TO DRIVE MARKET 121

    • 7.2.2 MACHINE LEARNING 122

    • 7.2.3 NATURAL LANGUAGE PROCESSING 122

    • 7.2.4 PREDICTIVE ANALYTICS 123

    • 7.2.5 COMPUTER VISION 123

  • 7.3 GENERATIVE AI 124

    • 7.3.1 AI-BASED VIRTUAL TOURS AND GENERATION OF PERSONALIZED CONTENT AND RECOMMENDATION TO DRIVE MARKET 124

• 8 AI IN TOURISM MARKET, BY END USER 125

  • 8.1 INTRODUCTION 126

    • 8.1.1 END USER: AI IN TOURISM DRIVERS 126

  • 8.2 TRAVEL INDUSTRY 127

    • 8.2.1 AVIATION 128

      • 8.2.1.1 AI optimizes operations and reduces delays 128

    • 8.2.2 CAR RENTAL AND MOBILITY PROVIDERS 129

      • 8.2.2.1 AI-powered chatbots and virtual assistants to drive growth 129

    • 8.2.3 MARITIME TRAVEL 130

      • 8.2.3.1 AI algorithms save time and fuel by analyzing weather

    • 8.2.4 OTHER END USERS 131

  • 8.3 HOSPITALITY INDUSTRY 132

    • 8.3.1 HOTELS 134

      • 8.3.1.1 AI analyzes occupancy patterns to optimize staff scheduling, reducing costs and driving market growth 134

    • 8.3.2 RESORTS & THEME PARKS 135

      • 8.3.2.1 AI apps offer real-time navigation, helping guests find attractions and services efficiently, driving market growth 135

    • 8.3.3 CRUISE LINE OPERATORS 136

      • 8.3.3.1 AI optimizes resource use, supporting sustainability and driving market growth 136

    • 8.3.4 OTHER END USERS 137

• 9 AI IN TOURISM MARKET, BY REGION 138

  • 9.1 INTRODUCTION 139

  • 9.2 NORTH AMERICA 140

    • 9.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK 140

    • 9.2.2 US 147

      • 9.2.2.1 Increased AI adoption in hospitality sector to drive market growth 147

    • 9.2.3 CANADA 153

      • 9.2.3.1 Government investments in AI technologies to boost market growth 153

  • 9.3 EUROPE 158

    • 9.3.1 EUROPE: MACROECONOMIC OUTLOOK 158

    • 9.3.2 UK 165

      • 9.3.2.1 Strong focus on improving customer experiences and passenger safety to drive market growth 165

    • 9.3.3 GERMANY 170

      • 9.3.3.1 Strong focus on Industry 4.0 and smart manufacturing to drive market growth 170

    • 9.3.4 FRANCE 170

      • 9.3.4.1 Increasing adoption of AI in aviation and investments by major players to drive growth 170

    • 9.3.5 ITALY 171

      • 9.3.5.1 Public investments and collaboration between private players to drive market growth 171

    • 9.3.6 SPAIN 171

      • 9.3.6.1 Rising integration of AI in popular tourist spots and AI-powered virtual guides to drive market growth 171

    • 9.3.7 NORDICS 172

      • 9.3.7.1 Increasing demand for AI in aviation and maritime sector to drive market growth 172

    • 9.3.8 REST OF EUROPE 172

  • 9.4 ASIA PACIFIC 173

    • 9.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK 173

    • 9.4.2 CHINA 180

      • 9.4.2.1 Rising security demands and surge in tourism to drive market growth 180

    • 9.4.3 JAPAN 186

      • 9.4.3.1 Japan leveraging AI to enhance visitor experiences to drive sustainable market growth 186

    • 9.4.4 INDIA 186

      • 9.4.4.1 Growing demand for smart infrastructure for enhancing travel experience to drive market growth 186

    • 9.4.5 AUSTRALIA & NEW ZEALAND 186

      • 9.4.5.1 Enhanced customer experience at airports through AI-based solution to drive growth 186

    • 9.4.6 SOUTH KOREA 187

      • 9.4.6.1 AI-based translation services to drive market growth 187

    • 9.4.7 ASEAN 187

      • 9.4.7.1 Government initiatives for increasing tourism to drive AI in tourism market growth 187

    • 9.4.8 REST OF ASIA PACIFIC 188

  • 9.5 MIDDLE EAST & AFRICA 188

    • 9.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 188

    • 9.5.2 KSA 195

      • 9.5.2.1 Need for digital transformation under Vision 2030 to propel AI in tourism market 195

    • 9.5.3 UAE 200

      • 9.5.3.1 Investments in AI and medical tourism to drive market growth 200

    • 9.5.4 KUWAIT 200

      • 9.5.4.1 Tourism city initiative to boost AI in tourism market growth 200

    • 9.5.5 QATAR 200

      • 9.5.5.1 Government-driven digitalization to drive growth 200

    • 9.5.6 SOUTH AFRICA 201

      • 9.5.6.1 Increasing AI adoption to transform customer experiences in airports to drive market 201

    • 9.5.7 REST OF MIDDLE EAST & AFRICA 201

  • 9.6 LATIN AMERICA 201

    • 9.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK 201

    • 9.6.2 BRAZIL 208

      • 9.6.2.1 Digital transformation in Brazilian tourism sector to drive market growth 208

    • 9.6.3 MEXICO 213

      • 9.6.3.1 Investments by major players and increasing utilization

    • 9.6.4 REST OF LATIN AMERICA 213

• 10 COMPETITIVE LANDSCAPE 214

  • 10.1 INTRODUCTION 214

  • 10.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 214

  • 10.3 MARKET SHARE ANALYSIS 216

    • 10.3.1 MARKET RANKING ANALYSIS 218

  • 10.4 REVENUE ANALYSIS 219

  • 10.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024 219

    • 10.5.1 STARS 219

    • 10.5.2 EMERGING LEADERS 219

    • 10.5.3 PERVASIVE PLAYERS 220

    • 10.5.4 PARTICIPANTS 220

    • 10.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024 221

      • 10.5.5.1 Offering footprint 222
      • 10.5.5.2 End user footprint 223
      • 10.5.5.3 Region footprint 224

  • 10.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024 224

    • 10.6.1 PROGRESSIVE COMPANIES 224

    • 10.6.2 RESPONSIVE COMPANIES 224

    • 10.6.3 DYNAMIC COMPANIES 225

    • 10.6.4 STARTING BLOCKS 225

    • 10.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024 226

      • 10.6.5.1 Detailed list of key startups/SMEs 226
      • 10.6.5.2 Competitive benchmarking of key startups/SMEs 227

  • 10.7 COMPETITIVE SCENARIO AND TRENDS 228

    • 10.7.1 PRODUCT LAUNCHES 228

    • 10.7.2 DEALS 229

  • 10.8 BRAND/PRODUCT COMPARISON 230

  • 10.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY AI IN TOURISM SOLUTION PROVIDERS 231

• 11 COMPANY PROFILES 232

  • 11.1 KEY PLAYERS 232

    • 11.1.1 SNOWFLAKE INC 232

      • 11.1.1.1 Business overview 232
      • 11.1.1.2 Products/Solutions/Services offered 233
      • 11.1.1.3 Recent developments 234
        • 11.1.1.3.1 Product launches and enhancements 234
        • 11.1.1.3.2 Deals 234
      • 11.1.1.4 MnM View 235
        • 11.1.1.4.1 Key strengths 235
        • 11.1.1.4.2 Strategic choices 235
        • 11.1.1.4.3 Weaknesses and competitive threats 235

    • 11.1.2 SALESFORCE, INC 236

      • 11.1.2.1 Business overview 236
      • 11.1.2.2 Products/Solutions/Services offered 237
      • 11.1.2.3 Recent developments 238
        • 11.1.2.3.1 Deals 238
      • 11.1.2.4 MnM View 238
        • 11.1.2.4.1 Key strengths 238
        • 11.1.2.4.2 Strategic choices 238
        • 11.1.2.4.3 Weaknesses and competitive threats 238

    • 11.1.3 AMAZON WEB SERVICES, INC 239

      • 11.1.3.1 Business overview 239
      • 11.1.3.2 Products/Solutions/Services offered 240
      • 11.1.3.3 Recent developments 240
        • 11.1.3.3.1 Deals 240
      • 11.1.3.4 MnM View 241
        • 11.1.3.4.1 Key strengths 241
        • 11.1.3.4.2 Strategic choices 241
        • 11.1.3.4.3 Weaknesses and competitive threats 241

    • 11.1.4 IBM 242

      • 11.1.4.1 Business overview 242
      • 11.1.4.2 Products/Solutions/Services offered 244
      • 11.1.4.3 Recent developments 245
        • 11.1.4.3.1 Deals 245
      • 11.1.4.4 MnM View 245
        • 11.1.4.4.1 Key strengths 245
        • 11.1.4.4.2 Strategic choices 245
        • 11.1.4.4.3 Weaknesses and competitive threats 245

    • 11.1.5 MICROSOFT CORPORATION, INC 246

      • 11.1.5.1 Business overview 246
      • 11.1.5.2 Products/Solutions/Services offered 247
      • 11.1.5.3 Recent developments 248
        • 11.1.5.3.1 Deals 248
      • 11.1.5.4 MnM View 248
        • 11.1.5.4.1 Key strengths 248
        • 11.1.5.4.2 Strategic choices 248
        • 11.1.5.4.3 Weaknesses and competitive threats 248

    • 11.1.6 NVIDIA CORPORATION 249

      • 11.1.6.1 Business overview 249
      • 11.1.6.2 Products/Solutions/Services offered 251
      • 11.1.6.3 Recent developments 251
        • 11.1.6.3.1 Deals 251

    • 11.1.7 SAS INSTITUTE 252

      • 11.1.7.1 Business overview 252
      • 11.1.7.2 Products/Solutions/Services offered 252
      • 11.1.7.3 Recent developments 252
        • 11.1.7.3.1 Deals 252

    • 11.1.8 SABRE CORPORATION 253

      • 11.1.8.1 Business overview 253
      • 11.1.8.2 Products/Solutions/Services offered 255
      • 11.1.8.3 Recent developments 256
        • 11.1.8.3.1 Product launches and enhancements 256

    • 11.1.9 HUAWEI 257

      • 11.1.9.1 Business overview 257
      • 11.1.9.2 Products/Solutions/Services offered 258
      • 11.1.9.3 Recent developments 259
        • 11.1.9.3.1 Deals 259

    • 11.1.10 [24]7.AI 260

    • 11.1.11 VIRTUSA CORPORATION 261

    • 11.1.12 APPIER INC 262

    • 11.1.13 TRAVELPORT WORLDWIDE LTD 263

    • 11.1.14 AMADEUS IT GROUP, S.A 263

    • 11.1.15 ZENDESK 264

  • 11.2 STARTUPS/SMES 265

    • 11.2.1 DEVOX SOFTWARE 265

    • 11.2.2 ALTEXSOFT 266

    • 11.2.3 JIO HAPTIK TECHNOLOGIES LIMITED 267

    • 11.2.4 SHR GROUP 268

    • 11.2.5 DUVE 269

    • 11.2.6 NEXSCIENT 270

    • 11.2.7 PERSADO 271

    • 11.2.8 CANARY TECHNOLOGIES 272

    • 11.2.9 MIZE 273

    • 11.2.10 FLYR 274

    • 11.2.11 GEOVEA 274

    • 11.2.12 LAYLA AI 275

• 12 ADJACENT/RELATED MARKETS 276

  • 12.1 INTRODUCTION 276

    • 12.1.1 MARKET DEFINITION 276

  • 12.2 CONVERSATIONAL AI MARKET 276

    • 12.2.1 MARKET OVERVIEW 276

    • 12.2.2 CONVERSATIONAL AI MARKET, BY OFFERING 277

  • 12.3 SERVICES 277

    • 12.3.1 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION 278

    • 12.3.2 CONVERSATIONAL AI MARKET, BY INTEGRATION MODE 279

    • 12.3.3 CONVERSATIONAL AI MARKET, BY VERTICAL 279

  • 12.4 CUSTOMER EXPERIENCE MANAGEMENT MARKET 281

    • 12.4.1 MARKET DEFINITION 281

    • 12.4.2 MARKET OVERVIEW 281

    • 12.4.3 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY OFFERING 281

    • 12.4.4 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY DEPLOYMENT TYPE 282

    • 12.4.5 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY ORGANIZATION SIZE 283

    • 12.4.6 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY VERTICAL 283

• 13 APPENDIX 285

  • 13.1 DISCUSSION GUIDE 285

  • 13.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 289

  • 13.3 CUSTOMIZATION OPTIONS 291

  • 13.4 RELATED REPORTS 291

  • 13.5 AUTHOR DETAILS 292