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Artificial Intelligence (AI) in Aviation Market by Solution (Infrastructure, Software, Services), Business Function (Flight Operations, Maintenance & Safety, Airport Operation, R&D), End User (Airlines, Airports, OEM, MRO), Technology and Region – Global Forecast to 2030

出版商 MarketsandMarkets產業別 Aerospace & Defense出版日期 2025-07-10頁數 310報告編號 AS9429

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報告摘要

The AI in aviation market is expected to reach USD 4.86 billion by 2030, from USD 1.75 billion in 2025, with a CAGR of 22.6%. As the aviation industry shifts toward smarter, more connected ecosystems, AI plays a critical role in enabling predictive analytics, real-time decision-making, and autonomous operations. Airlines and airport operators are increasingly adopting AI to optimize flight routes, enhance passenger experience, and improve aircraft maintenance efficiency. Additionally, as governments and regulatory bodies promote net-zero emissions and digital air traffic management, AI is becoming a strategic enabler of next-generation aviation infrastructure. This adoption trend is expected to accelerate as AI technologies mature and integrate more seamlessly with avionics, air traffic systems, and ground operations. "Based on infrastructure, computer hardware is estimated to hold the largest share in 2025." The computer hardware segment is expected to lead the AI in aviation market for infrastructure due to its fundamental role in enabling real-time processing, high-performance computing, and system integration across flight and ground operations. AI applications in aviation, such as predictive maintenance, autonomous navigation, flight data analysis, and air traffic management, require robust and reliable hardware infrastructure to function effectively. This includes GPUs, CPUs, edge computing devices, sensors, and onboard AI processors that can support intensive workloads in dynamic environments. With modern aircraft increasingly becoming "flying data centers," the demand for advanced hardware that can process large volumes of sensor, telemetry, and operational data in real time is surging. Moreover, hardware is a prerequisite for deploying AI at the edge, especially in safety-critical applications like in-flight decision support, collision avoidance, and UAV operations. Airports are also investing in AI-enabled infrastructure, such as facial recognition systems, baggage scanners, and biometric gates, which rely on specialized hardware components for performance and speed. As airlines and OEMs prioritize AI-driven digital transformation, the need for scalable, aviation-grade computing platforms continues to rise. "Based on software, AI development tools are expected to exhibit the fastest growth during the forecast period" AI development tools are expected to be the fastest-growing segment in the AI in aviation market for software due to their critical role in enabling customized, scalable, and domain-specific AI applications. These tools, including machine learning frameworks, data labeling platforms, simulation environments, and model training libraries, enable aviation stakeholders to build, test, and deploy AI solutions tailored to unique operational needs. As the aviation industry moves toward deeper digitalization, the need for adaptable tools to develop AI for predictive maintenance, flight optimization, air traffic control, and passenger analytics is increasing rapidly. Compared to pre-built AI systems, development tools offer flexibility, allowing airlines, OEMs, and airport operators to innovate at their own pace while ensuring regulatory compliance and data security. With a growing emphasis on explainable AI, model testing, and edge deployment, development tools are essential for training AI systems that are not only intelligent but also auditable and certifiable, especially in safety-critical aviation environments. "Asia Pacific is expected to be the fastest-growing market for AI in aviation during the forecast period." Asia Pacific is expected to witness rapid growth in the AI in aviation market due to a rise in air traffic, large-scale infrastructure development, and strong government support for digitalization. The region is witnessing a surge in passenger demand, particularly in countries like China, India, Indonesia, and Vietnam, where aviation markets are increasingly expanding to meet domestic and international travel needs. This growth propels the need for smarter, AI-enabled systems to manage congestion, optimize operations, and enhance safety. Governments across Asia Pacific are actively investing in smart airport projects, urban air mobility, and autonomous aviation technologies, creating fertile ground for AI integration. Countries such as China, Japan, and South Korea are leading in AI R&D, while India and Southeast Asia are rapidly adopting AI for air traffic management, predictive maintenance, and biometric security systems. Many regional carriers are also adopting AI to improve fuel efficiency, optimize crew scheduling, and deliver personalized passenger services. The break-up of the profile of primary participants in the AI in aviation market: • By Company Type: Tier 1 – 49%, Tier 2 – 37%, and Tier 3 – 14% • By Designation: C-Level – 55%, D-Level – 27%, and Others – 18% • By Region: North America – 32%, Europe – 22%, Asia Pacific – 16%, Middle East – 10%, Africa – 10%, and Latin America – 10% Major companies profiled in the report include Amadeus IT Group S.A. (Spain), Honeywell International Inc. (US), Microsoft (US), Amazon Web Services, Inc. (US), and General Electric Company (US), among others. Research Coverage: This market study covers the AI in aviation market across various segments and subsegments. It aims to estimate this market's size and growth potential across different parts based on region. This study also includes an in-depth competitive analysis of the key players in the market, their company profiles, key observations related to their product and business offerings, recent developments, and key market strategies they adopted. Reasons to buy this report: The report will provide both market leaders and new entrants with accurate revenue estimates for the overall AI in aviation market. It aims to help stakeholders understand the competitive landscape, enabling them to position their businesses more effectively and develop appropriate go-to-market strategies. Additionally, the report offers insights into market trends and includes information on key drivers, challenges, constraints, and opportunities within the market. The AI in aviation market experiences growth and evolution driven by various factors. The report provides insights on the following pointers: • Market Drivers (Surge in global air traffic, Shift in passenger expectations, Rapid adoption of AI-powered predictive maintenance in aviation), Restraints (Costly implementation and maintenance, Complex regulatory landscape), Opportunities (AI in predictive and prescriptive analytics, AI in traffic management and urban air mobility, Rise of AI-powered air cargo) Challenges (Cybersecurity and data integrity risks, Regulatory fragmentation and ethical uncertainity) that could contribute to an increase in the AI in aviation market • Market Penetration: Comprehensive information on AI in aviation offered by the top players in the market • Product Development/Innovation: Detailed insights on upcoming technologies, R&D activities, and product launches in the AI in aviation market • Market Development: Comprehensive information about lucrative markets; the report analyses the AI in aviation market across varied regions • Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the AI in aviation market • Competitive Assessment: In-depth assessment of market shares, growth strategies, products, and manufacturing capabilities of leading players in the AI in aviation market
目錄 Table of Contents
1 INTRODUCTION 28 1.1 STUDY OBJECTIVES 28 1.2 MARKET DEFINITION 28 1.3 STUDY SCOPE 29 1.3.1 MARKETS COVERED AND REGIONAL SCOPE 29 1.3.2 INCLUSIONS AND EXCLUSIONS 30 1.3.3 YEARS CONSIDERED 30 1.4 CURRENCY CONSIDERED 31 1.5 STAKEHOLDERS 31 1.6 SUMMARY OF CHANGES 31 2 RESEARCH METHODOLOGY 33 2.1 RESEARCH DATA 33 2.1.1 SECONDARY DATA 34 2.1.1.1 Key data from secondary sources 35 2.1.2 PRIMARY DATA 35 2.1.2.1 Key data from primary sources 36 2.1.2.2 Breakdown of primary interviews 36 2.2 MARKET SIZE ESTIMATION 37 2.2.1 BOTTOM-UP APPROACH 37 2.2.1.1 Demand-side methodology 37 2.2.1.2 Supply-side methodology 37 2.2.1.3 Forecasting techniques 38 2.2.2 TOP-DOWN APPROACH 38 2.3 DATA TRIANGULATION 39 2.4 RESEARCH ASSUMPTIONS 40 2.5 RESEARCH LIMITATIONS 40 2.6 RISK ASSESSMENT 41 3 EXECUTIVE SUMMARY 42 4 PREMIUM INSIGHTS 45 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN AVIATION MARKET 45 4.2 AI IN AVIATION MARKET, BY SOLUTION 46 4.3 AI IN AVIATION MARKET, BY TECHNOLOGY 46 4.4 AI IN AVIATION MARKET, BY END USER 47   5 MARKET OVERVIEW 48 5.1 INTRODUCTION 48 5.2 MARKET DYNAMICS 48 5.2.1 DRIVERS 49 5.2.1.1 Surge in global air traffic 49 5.2.1.2 Shift in passenger expectations 49 5.2.1.3 Rapid adoption of AI-powered predictive maintenance in aviation 50 5.2.2 RESTRAINTS 50 5.2.2.1 Costly implementation and maintenance 50 5.2.2.2 Complex regulatory landscape 50 5.2.3 OPPORTUNITIES 51 5.2.3.1 AI in predictive and prescriptive analytics 51 5.2.3.2 AI in air traffic management and urban air mobility 52 5.2.3.3 Rise of AI-powered air cargo 52 5.2.4 CHALLENGES 53 5.2.4.1 Cybersecurity and data integrity risks 53 5.2.4.2 Regulatory fragmentation and ethical uncertainty 53 5.3 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS 54 5.4 PRICING ANALYSIS 54 5.4.1 AVERAGE SELLING PRICE OF AI IN AVIATION SOLUTIONS OFFERED BY KEY PLAYERS 55 5.4.2 AVERAGE SELLING PRICE, BY REGION 56 5.5 ECOSYSTEM ANALYSIS 56 5.5.1 AI SOLUTION PROVIDERS 56 5.5.2 SYSTEM INTEGRATORS 57 5.5.3 END USERS 57 5.6 VALUE CHAIN ANALYSIS 58 5.7 KEY STAKEHOLDERS AND BUYING CRITERIA 60 5.7.1 KEY STAKEHOLDERS IN BUYING PROCESS 60 5.7.2 BUYING CRITERIA 61 5.8 KEY CONFERENCES AND EVENTS, 2025–2026 62 5.9 REGULATORY LANDSCAPE 62 5.10 INVESTMENT AND FUNDING SCENARIO 66 5.11 TECHNOLOGY ANALYSIS 67 5.11.1 KEY TECHNOLOGIES 67 5.11.1.1 Flight data analytics 67 5.11.1.2 Computer vision 67 5.11.2 COMPLEMENTARY TECHNOLOGIES 67 5.11.2.1 Edge AI Hardware 67 5.11.2.2 Real-time connectivity 68 5.11.3 ADJACENT TECHNOLOGIES 68 5.11.3.1 Electric propulsion 68 5.11.3.2 More electric aircraft 68 5.12 CASE STUDY ANALYSIS 69 5.12.1 HEATHROW AIRPORT: AI FOR PASSENGER FLOW OPTIMIZATION 69 5.12.2 AIRBUS: AI IN SKYWISE FOR PREDICTIVE MAINTENANCE 69 5.12.3 FAA: AI FOR AIR TRAFFIC FLOW MANAGEMENT 70 5.12.4 DELTA AIR LINES: AI FOR BAGGAGE AND IRREGULAR OPERATIONS 70 5.13 TECHNOLOGY ROADMAP 71 5.14 PATENT ANALYSIS 72 5.15 MACROECONOMIC OUTLOOK 76 5.15.1 NORTH AMERICA 76 5.15.2 EUROPE 76 5.15.3 ASIA PACIFIC 77 5.15.4 MIDDLE EAST 77 5.15.5 LATIN AMERICA 77 5.15.6 AFRICA 78 5.16 IMPACT OF MEGATRENDS 78 5.16.1 DIGITAL TRANSFORMATION AND INDUSTRY 4.0 78 5.16.2 SUSTAINABILITY AND GREEN AVIATION 79 5.16.3 AUTONOMOUS AND URBAN AIR MOBILITY 79 5.17 BUSINESS MODELS 80 6 AI IN AVIATION MARKET, BY BUSINESS FUNCTION 83 6.1 INTRODUCTION 84 6.2 FLIGHT OPERATIONS 85 6.2.1 FOCUS ON STREAMLINING DECISION-MAKING AND ENHANCING SITUATIONAL AWARENESS 85 6.2.1.1 Use case: Etihad Airways uses Google Cloud AI to enhance route planning 85 6.2.1.2 Use case: British Airways applies AI to predict congestion delays 86 6.2.1.3 Use case: Singapore Airlines employs AI to monitor and mitigate in-flight track deviations 86 6.2.2 CREW SCHEDULING & DUTY TIME OPTIMIZATION 87 6.2.3 ROUTE PLANNING & AIRSPACE OPTIMIZATION 87 6.2.4 FUEL EFFICIENCY MODELING 87 6.2.5 WEATHER DISRUPTION REROUTING 88 6.2.6 ON-TIME PERFORMANCE MONITORING 88 6.3 MAINTENANCE & SAFETY 88 6.3.1 NEED TO ENSURE OPERATIONAL CONTINUITY AND REGULATORY COMPLIANCE 88 6.3.1.1 Use case: Lufthansa Technik offers AVIATAR platform for operational efficiency 89 6.3.1.2 Use case: Air New Zealand implements AI-powered computer vision to automate aircraft inspections 89 6.3.1.3 Use case: Rolls-Royce employs AI in engine health monitoring 89 6.3.2 PREDICTIVE MAINTENANCE 90 6.3.3 VISUAL INSPECTION & DEFECT DETECTION 91 6.3.4 FAULT ISOLATION & DIAGNOSTICS 91 6.3.5 SPARE PARTS DEMAND FORECASTING 91 6.3.6 WARRANTY CLAIM OPTIMIZATION 91 6.3.7 REAL-TIME AIRCRAFT HEALTH MONITORING 92 6.3.8 AUTOMATED TROUBLESHOOTING & DIGITAL WORKFLOWS 92 6.4 AIRPORT OPERATIONS & GROUND HANDLING 92 6.4.1 INCREASE IN GLOBAL AIR TRAVEL AND CONGESTION 92 6.4.1.1 Use case: Changi Airport uses AI to optimize passenger flow management 92 6.4.1.2 Use case: Heathrow Airport deploys AI for baggage tracking and rerouting 93 6.4.1.3 Use case: Zurich Airport implements computer vision AI for tarmac safety 93 6.4.2 PASSENGER FLOW PREDICTION & CHECK-IN ALLOCATION 94 6.4.3 BAGGAGE TRACKING & REROUTING 95 6.4.4 TARMAC SAFETY REROUTING 95 6.4.5 GATE & GSE ASSIGNMENT OPTIMIZATION 95 6.4.6 AIRSIDE CONGESTION FORECASTING 95 6.5 PASSENGER EXPERIENCE & SERVICE 96 6.5.1 PASSENGER DEMAND FOR CONVENIENCE AND TRANSPARENCY 96 6.5.1.1 Use case: All Nippon Airways employs NLP-driven chatbots to handle passenger inquiries 96 6.5.1.2 Use case: KLM deploys AI-based real-time feedback analytics to enhance service recovery 96 6.5.1.3 Use case: Air France uses AI video analytics for risk monitoring 96 6.5.2 NLP-BASED VIRTUAL ASSISTANTS 97 6.5.3 EMOTION RECOGNITION & SENTIMENT ANALYSIS 98 6.5.4 REAL-TIME FEEDBACK ANALYTICS 98 6.5.5 PERSONALIZED IN-FLIGHT EXPERIENCE 98 6.5.6 PASSENGER SAFETY & RISK MONITORING 98 6.6 REVENUE MANAGEMENT 99 6.6.1 IMPLEMENTATION OF REAL-TIME FORECASTING AND DYNAMIC PRICING STRATEGIES 99 6.6.1.1 Use case: Lufthansa Group deploys AI-based fare optimization engines to adjust ticket pricing 99 6.6.1.2 Use case: American Airlines uses predictive AI models for route-level demand 99 6.6.1.3 Use case: Ryanair integrates AI to upsell baggage and ancillary products 99 6.6.2 DYNAMIC FARE OPTIMIZATION 100 6.6.3 ROUTE-LEVEL DEMAND FORECASTING 100 6.6.4 ANCILLARY REVENUE OPTIMIZATION 100 6.6.5 REVENUE LEAKAGE DETECTION 100 6.7 TRAINING & HUMAN CAPITAL 101 6.7.1 COMPLIANCE WITH EVOLVING AVIATION REGULATIONS 101 6.7.1.1 Use case: CAE integrates AI into full-flight simulators to enhance pilot training 101 6.7.1.2 Use case: Singapore Airlines adopts AI-based speech analysis to improve communication training 101 6.7.1.3 Use case: JetBlue uses predictive fatigue management tools to support crew wellness 102 6.7.2 AI-ENHANCED FLIGHT SIMULATION TRAINING 102 6.7.3 CABIN CREW CRM & LANGUAGE TRAINING AI 102 6.7.4 FATIGUE & WELLNESS PREDICTION 102 6.8 R&D & PRODUCT DEVELOPMENT 103 6.8.1 ESCALATING DEMAND FOR LIGHTER, GREENER, AND MORE EFFICIENT AIRCRAFT 103 6.8.1.1 Use case: Airbus incorporates AI into simulation frameworks to accelerate aircraft prototyping 103 6.8.1.2 Use case: Boeing leverages AI to reduce aircraft structural weight 103 6.8.1.3 Use case: Textron employs AI for component testing 104 6.8.2 DIGITAL TWIN MODELING FOR PROTOTYPING 104 6.8.3 AI FOR STRUCTURAL DESIGN & PERFORMANCE SIMULATION 104 6.8.4 AI-POWERED COMPONENT TESTING & QUALIFICATION 104 6.9 SUSTAINABILITY & EMISSION MANAGEMENT 105 6.9.1 REGULATORY PUSH FOR DECARBONIZATION 105 6.9.1.1 Use case: Heathrow Airport employs AI to optimize taxi time 105 6.9.1.2 Use case: Air France employs AI-based tools to monitor emissions 105 6.9.1.3 Use case: Lufthansa Group implements AI for taxi optimization and green routing 106 6.9.2 TAXI OPTIMIZATION & GREEN ROUTING 106 6.9.3 CARBON MONITORING & ESG REPORTING 106 7 AI IN AVIATION MARKET, BY SOLUTION 107 7.1 INTRODUCTION 108 7.2 INFRASTRUCTURE 109 7.2.1 SURGE IN INVESTMENTS DUE TO INCREASED COMPLEXITY OF AI 109 7.2.2 COMPUTER HARDWARE 109 7.2.3 MEMORY & STORAGE 110 7.2.4 NETWORKING 110 7.3 SOFTWARE 110 7.3.1 EMPHASIS ON SAFETY, EXPLAINABILITY, AND REAL-TIME RESPONSIVENESS 110 7.3.2 AI DEVELOPMENT TOOLS 111 7.3.3 AI APPLICATION PLATFORMS 111 7.4 SERVICES 112 7.4.1 SHIFT TOWARD OUTCOME-BASED DEPLOYMENTS IN AVIATION INDUSTRY 112 7.4.2 CORE DATA SERVICES 112 7.4.3 INTEGRATED SERVICES 113 8 AI IN AVIATION MARKET, BY TECHNOLOGY 114 8.1 INTRODUCTION 115 8.2 MACHINE LEARNING 116 8.2.1 EXTENSIVE USE IN FLIGHT DELAY PREDICTION AND ANOMALY DETECTION 116 8.2.2 SUPERVISED LEARNING 116 8.2.3 UNSUPERVISED LEARNING 117 8.2.4 REINFORCEMENT LEARNING 117 8.3 NATURAL LANGUAGE PROCESSING 117 8.3.1 IMPROVED OPERATIONS DUE TO VOICE-ENABLED INTERFACES AND TEXT AUTOMATION 117 8.4 COMPUTER VISION 117 8.4.1 ABILITY TO INTERPRET AND ACT ON VISUAL INPUTS FROM AIR AND GROUND SYSTEMS 117 8.4.2 OBJECT DETECTION 118 8.4.3 FACIAL RECOGNITION 118 8.4.4 OTHERS 118 8.5 GENERATIVE AI 119 8.5.1 CRITICAL ROLE IN TRAINING AND AUTOMATION 119 8.6 SENSOR FUSION AI 119 8.6.1 MULTI-SENSOR INTEGRATION TO ENHANCE SITUATIONAL AWARENESS 119 9 AI IN AVIATION MARKET, BY END USER 120 9.1 INTRODUCTION 121 9.2 AIRLINES & OPERATORS 122 9.2.1 SIGNIFICANT IMPACT OF AI ON COST SAVINGS AND OPERATIONAL EFFICIENCY 122 9.3 AIRPORT AUTHORITIES 122 9.3.1 REGULATORY PUSH FOR SECURITY AND EMPHASIS ON PASSENGER SATISFACTION 122 9.4 AIRCRAFT MANUFACTURERS & SYSTEM INTEGRATORS 123 9.4.1 INCLINATION TOWARD REAL-TIME DECISION-MAKING AND AUTOMATED FLIGHT OPERATIONS 123 9.5 MRO PROVIDERS 123 9.5.1 REDUCED AIRCRAFT-ON-GROUND TIME AND SPARE INVENTORY COSTS 123 10 AI IN AVIATION MARKET, BY REGION 124 10.1 INTRODUCTION 125 10.2 NORTH AMERICA 126 10.2.1 PESTLE ANALYSIS 126 10.2.2 US 131 10.2.2.1 Focus on operational efficiency and cost savings to drive market 131   10.2.3 CANADA 133 10.2.3.1 Rapid adoption of AI to promote sustainability to drive market 133 10.3 EUROPE 136 10.3.1 PESTLE ANALYSIS 136 10.3.2 UK 141 10.3.2.1 Strong regulatory framework and advanced aviation infrastructure to drive market 141 10.3.3 FRANCE 143 10.3.3.1 Targeted investments from government and industry leaders to drive market 143 10.3.4 GERMANY 145 10.3.4.1 Increased adoption of AI to enhance automation across airports and airlines to drive market 145 10.3.5 ITALY 148 10.3.5.1 Compliance with European Union’s digital and environmental goals to drive market 148 10.3.6 SPAIN 150 10.3.6.1 Need to manage high passenger volumes to drive market 150 10.3.7 REST OF EUROPE 152 10.4 ASIA PACIFIC 154 10.4.1 PESTLE ANALYSIS 155 10.4.2 CHINA 160 10.4.2.1 Favorable government policies to drive market 160 10.4.3 INDIA 162 10.4.3.1 Rise in passenger traffic and rapid digitalization to drive market 162 10.4.4 JAPAN 165 10.4.4.1 Domestic push for safety and enhanced passenger experience to drive market 165 10.4.5 SOUTH KOREA 167 10.4.5.1 Focus on smart airport infrastructure and traffic management to drive market 167 10.4.6 NEW ZEALAND 169 10.4.6.1 Rising government investments to drive market 169 10.4.7 AUSTRALIA 172 10.4.7.1 Robust infrastructure and strong government backing to drive market 172 10.4.8 REST OF ASIA PACIFIC 174 10.5 MIDDLE EAST 177 10.5.1 PESTLE ANALYSIS 177 10.5.2 SAUDI ARABIA 182 10.5.2.1 Aviation modernization initiatives under Vision 2030 to drive market 182 10.5.3 UAE 184 10.5.3.1 Substantial investments in AI to elevate airport efficiency to drive market 184   10.5.4 TURKEY 186 10.5.4.1 Rapid integration of AI across aerospace operations to drive market 186 10.5.5 REST OF MIDDLE EAST 189 10.6 LATIN AMERICA 191 10.6.1 PESTLE ANALYSIS 191 10.6.2 BRAZIL 196 10.6.2.1 Presence of major aircraft manufacturers and airports to drive market 196 10.6.3 MEXICO 198 10.6.3.1 Ongoing modernization of airspace infrastructure to drive market 198 10.6.4 CHILE 201 10.6.4.1 Rapid integration of AI for dynamic positioning and demand forecasting to drive market 201 10.6.5 ARGENTINA 203 10.6.5.1 Advancements in predictive maintenance to drive market 203 10.6.6 REST OF LATIN AMERICA 205 10.7 AFRICA 208 10.7.1 PESTLE ANALYSIS 208 10.7.2 SOUTH AFRICA 213 10.7.2.1 Emphasis on strengthening national airspace capacity to drive market 213 10.7.3 EGYPT 215 10.7.3.1 Integration of AI across airport operations and airline management to drive market 215 10.7.4 REST OF AFRICA 217 11 COMPETITIVE LANDSCAPE 220 11.1 INTRODUCTION 220 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024 220 11.3 REVENUE ANALYSIS, 2021–2024 222 11.4 MARKET SHARE ANALYSIS, 2024 223 11.5 BRAND/PRODUCT COMPARISON 225 11.6 COMPANY VALUATION AND FINANCIAL METRICS 227 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024 228 11.7.1 STARS 228 11.7.2 EMERGING LEADERS 228 11.7.3 PERVASIVE PLAYERS 228 11.7.4 PARTICIPANTS 228 11.7.5 COMPANY FOOTPRINT 230 11.7.5.1 Company footprint 230 11.7.5.2 Region footprint 231 11.7.5.3 Solution footprint 232 11.7.5.4 Technology footprint 233 11.7.5.5 Business function footprint 234 11.8 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2024 235 11.8.1 PROGRESSIVE COMPANIES 235 11.8.2 RESPONSIVE COMPANIES 235 11.8.3 DYNAMIC COMPANIES 235 11.8.4 STARTING BLOCKS 235 11.8.5 COMPETITIVE BENCHMARKING 237 11.8.5.1 List of start-ups/SMEs 237 11.8.5.2 Competitive benchmarking of start-ups/SMEs 238 11.9 COMPETITIVE SCENARIO 239 11.9.1 PRODUCT LAUNCHES 239 11.9.2 DEALS 240 11.9.3 OTHERS 247 12 COMPANY PROFILES 248 12.1 KEY PLAYERS 248 12.1.1 AMADEUS IT GROUP S.A. 248 12.1.1.1 Business overview 248 12.1.1.2 Products offered 249 12.1.1.3 Recent developments 251 12.1.1.3.1 Deals 251 12.1.1.4 MnM view 252 12.1.1.4.1 Right to win 252 12.1.1.4.2 Strategic choices 252 12.1.1.4.3 Weaknesses and competitive threats 252 12.1.2 HONEYWELL INTERNATIONAL INC. 253 12.1.2.1 Business overview 253 12.1.2.2 Products offered 254 12.1.2.3 Recent developments 255 12.1.2.3.1 Product launches 255 12.1.2.3.2 Deals 255 12.1.2.3.3 Others 256 12.1.2.4 MnM view 256 12.1.2.4.1 Right to win 256 12.1.2.4.2 Strategic choices 256 12.1.2.4.3 Weaknesses and competitive threats 256 12.1.3 MICROSOFT 257 12.1.3.1 Business overview 257 12.1.3.2 Products offered 258 12.1.3.3 Recent developments 259 12.1.3.3.1 Deals 259 12.1.3.3.2 Others 260 12.1.3.4 MnM view 260 12.1.3.4.1 Right to win 260 12.1.3.4.2 Strategic choices 260 12.1.3.4.3 Weaknesses and competitive threats 260 12.1.4 AMAZON WEB SERVICES, INC. (AWS) 261 12.1.4.1 Business overview 261 12.1.4.2 Products offered 262 12.1.4.3 Recent developments 263 12.1.4.3.1 Deals 263 12.1.4.4 MnM view 263 12.1.4.4.1 Right to win 263 12.1.4.4.2 Strategic choices 264 12.1.4.4.3 Weaknesses and competitive threats 264 12.1.5 GENERAL ELECTRIC COMPANY 265 12.1.5.1 Business overview 265 12.1.5.2 Products offered 266 12.1.5.3 Recent developments 266 12.1.5.3.1 Deals 266 12.1.5.4 MnM view 267 12.1.5.4.1 Right to win 267 12.1.5.4.2 Strategic choices 267 12.1.5.4.3 Weaknesses and competitive threats 267 12.1.6 COLLINS AEROSPACE 268 12.1.6.1 Business overview 268 12.1.6.2 Products offered 268 12.1.7 SITA 270 12.1.7.1 Business overview 270 12.1.7.2 Products offered 270 12.1.7.3 Recent developments 272 12.1.7.3.1 Product launches 272 12.1.7.3.2 Deals 273 12.1.8 PALANTIR TECHNOLOGIES INC. 274 12.1.8.1 Business overview 274 12.1.8.2 Products offered 275 12.1.8.3 Recent developments 275 12.1.8.3.1 Deals 275 12.1.9 LUFTHANSA TECHNIK 276 12.1.9.1 Business overview 276 12.1.9.2 Products offered 277 12.1.9.3 Recent developments 277 12.1.9.3.1 Deals 277   12.1.10 THALES 278 12.1.10.1 Business overview 278 12.1.10.2 Products offered 279 12.1.10.3 Recent developments 279 12.1.10.3.1 Deals 279 12.1.11 IBM CORPORATION 280 12.1.11.1 Business overview 280 12.1.11.2 Products offered 281 12.1.11.3 Recent developments 282 12.1.11.3.1 Deals 282 12.1.12 ACCENTURE 283 12.1.12.1 Business overview 283 12.1.12.2 Products offered 284 12.1.12.3 Recent developments 284 12.1.12.3.1 Deals 284 12.1.13 RAMCO SYSTEMS 285 12.1.13.1 Business overview 285 12.1.13.2 Products offered 286 12.1.13.3 Recent developments 286 12.1.13.3.1 Product launches 286 12.1.13.3.2 Others 286 12.1.14 TATA CONSULTANCY SERVICES LIMITED (TCS) 287 12.1.14.1 Business overview 287 12.1.14.2 Products offered 288 12.1.14.3 Recent developments 288 12.1.14.3.1 Deals 288 12.1.14.3.2 Others 289 12.1.15 WIPRO 290 12.1.15.1 Business overview 290 12.1.15.2 Products offered 291 12.1.15.3 Recent developments 291 12.1.15.3.1 Deals 291 12.1.15.3.2 Others 291 12.1.16 INFOSYS LIMITED 292 12.1.16.1 Business overview 292 12.1.16.2 Products offered 293 12.1.16.3 Recent developments 293 12.1.16.3.1 Deals 293 12.2 OTHER PLAYERS 294 12.2.1 AVATHON, INC. 294 12.2.2 ELENIUM AUTOMATION 295 12.2.3 ASSAIA INTERNATIONAL LTD. 296 12.2.4 OPTYM 296 12.2.5 EMBROSS 297 12.2.6 SYNAPTIC AVIATION 298 12.2.7 AEROCLOUD SYSTEMS LTD. 299 12.2.8 AIRNGURU S.A. 300 12.2.9 GRAYMATTER SOFTWARE SERVICES PVT LTD 301 12.2.10 DEDRONE 302 13 APPENDIX 303 13.1 DISCUSSION GUIDE 303 13.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 306 13.3 CUSTOMIZATION OPTIONS 308 13.4 RELATED REPORTS 308 13.5 AUTHOR DETAILS 309
圖表清單 List of Tables & Figures
TABLE 1 USD EXCHANGE RATE 31 TABLE 2 AVERAGE SELLING PRICE OF AI IN AVIATION SOLUTIONS OFFERED BY AMADEUS IT GROUP S.A., 2024 (USD MILLION) 55 TABLE 3 AVERAGE SELLING PRICE OF AI IN AVIATION SOLUTIONS OFFERED BY HONEYWELL INTERNATIONAL INC., 2024 (USD MILLION) 55 TABLE 4 AVERAGE SELLING PRICE OF AI IN AVIATION SOLUTIONS OFFERED BY MICROSOFT, 2024 (USD MILLION) 55 TABLE 5 AVERAGE SELLING PRICE OF AI IN AVIATION SOLUTIONS OFFERED BY AMAZON WEB SERVICES, INC., 2024 (USD MILLION) 55 TABLE 6 AVERAGE SELLING PRICE OF AI IN AVIATION SOLUTIONS OFFERED BY GENERAL ELECTRIC COMPANY, 2024 (USD MILLION) 56 TABLE 7 AVERAGE SELLING PRICE OF AI IN AVIATION SOLUTIONS, BY REGION, 2024 (USD MILLION) 56 TABLE 8 ROLE OF COMPANIES IN ECOSYSTEM 57 TABLE 9 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS (%) 60 TABLE 10 KEY BUYING CRITERIA FOR TOP THREE END USERS 61 TABLE 11 KEY CONFERENCES AND EVENTS, 2025–2026 62 TABLE 12 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 62 TABLE 13 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 63 TABLE 14 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 64 TABLE 15 MIDDLE EAST: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 65 TABLE 16 AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 65 TABLE 17 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 66 TABLE 18 PATENT ANALYSIS 73 TABLE 19 BUSINESS MODELS IN AI IN AVIATION MARKET 81 TABLE 20 AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 84 TABLE 21 AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 85 TABLE 22 AI IN AVIATION MARKET, BY FLIGHT OPERATION, 2021–2024 (USD MILLION) 86 TABLE 23 AI IN AVIATION MARKET, BY FLIGHT OPERATION, 2025–2030 (USD MILLION) 87 TABLE 24 AI IN AVIATION MARKET, BY MAINTENANCE & SAFETY, 2021–2024 (USD MILLION) 90 TABLE 25 AI IN AVIATION MARKET, BY MAINTENANCE & SAFETY, 2025–2030 (USD MILLION) 90 TABLE 26 AI IN AVIATION MARKET, BY AIRPORT OPERATIONS & GROUND HANDLING, 2021–2024 (USD MILLION) 94 TABLE 27 AI IN AVIATION MARKET, BY AIRPORT OPERATIONS & GROUND HANDLING, 2025–2030 (USD MILLION) 94 TABLE 28 AI IN AVIATION MARKET, BY PASSENGER EXPERIENCE & SERVICE, 2021–2024 (USD MILLION) 97 TABLE 29 AI IN AVIATION MARKET, BY PASSENGER EXPERIENCE & SERVICE, 2025–2030 (USD MILLION) 97 TABLE 30 AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 108 TABLE 31 AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 108 TABLE 32 AI IN AVIATION MARKET, BY INFRASTRUCTURE, 2021–2024 (USD MILLION) 109 TABLE 33 AI IN AVIATION MARKET, BY INFRASTRUCTURE, 2025–2030 (USD MILLION) 109 TABLE 34 AI IN AVIATION MARKET, BY SOFTWARE, 2021–2024 (USD MILLION) 110 TABLE 35 AI IN AVIATION MARKET, BY SOFTWARE, 2025–2030 (USD MILLION) 111 TABLE 36 AI IN AVIATION MARKET, BY SERVICE, 2021–2024 (USD MILLION) 112 TABLE 37 AI IN AVIATION MARKET, BY SERVICE, 2025–2030 (USD MILLION) 112 TABLE 38 AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 115 TABLE 39 AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 115 TABLE 40 AI IN AVIATION MARKET, BY MACHINE LEARNING, 2021–2024 (USD MILLION) 116 TABLE 41 AI IN AVIATION MARKET, BY MACHINE LEARNING, 2025–2030 (USD MILLION) 116 TABLE 42 AI IN AVIATION MARKET, BY COMPUTER VISION, 2021–2024 (USD MILLION) 118 TABLE 43 AI IN AVIATION MARKET, BY COMPUTER VISION, 2025–2030 (USD MILLION) 118 TABLE 44 AI IN AVIATION MARKET, BY END USER, 2021–2024 (USD MILLION) 121 TABLE 45 AI IN AVIATION MARKET, BY END USER, 2025–2030 (USD MILLION) 122 TABLE 46 AI IN AVIATION MARKET, BY REGION, 2021–2024 (USD MILLION) 125 TABLE 47 AI IN AVIATION MARKET, BY REGION, 2025–2030 (USD MILLION) 126 TABLE 48 NORTH AMERICA: AI IN AVIATION MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 128 TABLE 49 NORTH AMERICA: AI IN AVIATION MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 129 TABLE 50 NORTH AMERICA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 129 TABLE 51 NORTH AMERICA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 129 TABLE 52 NORTH AMERICA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 130 TABLE 53 NORTH AMERICA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 130 TABLE 54 NORTH AMERICA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 130 TABLE 55 NORTH AMERICA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 130 TABLE 56 US: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 131 TABLE 57 US: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 132 TABLE 58 US: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 132 TABLE 59 US: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 132 TABLE 60 US: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 133 TABLE 61 US: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 133 TABLE 62 CANADA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 134 TABLE 63 CANADA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 134 TABLE 64 CANADA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 134 TABLE 65 CANADA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 135 TABLE 66 CANADA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 135 TABLE 67 CANADA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 135 TABLE 68 EUROPE: AI IN AVIATION MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 138 TABLE 69 EUROPE: AI IN AVIATION MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 139 TABLE 70 EUROPE: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 139 TABLE 71 EUROPE: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 139 TABLE 72 EUROPE: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 140 TABLE 73 EUROPE: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 140 TABLE 74 EUROPE: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 140 TABLE 75 EUROPE: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 140 TABLE 76 UK: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 141 TABLE 77 UK: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 142 TABLE 78 UK: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 142 TABLE 79 UK: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 142 TABLE 80 UK: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 143 TABLE 81 UK: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 143 TABLE 82 FRANCE: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 144 TABLE 83 FRANCE: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 144 TABLE 84 FRANCE: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 144 TABLE 85 FRANCE: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 145 TABLE 86 FRANCE: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 145 TABLE 87 FRANCE: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 145 TABLE 88 GERMANY: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 146 TABLE 89 GERMANY: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 146 TABLE 90 GERMANY: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 147 TABLE 91 GERMANY: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 147 TABLE 92 GERMANY: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 147 TABLE 93 GERMANY: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 147 TABLE 94 ITALY: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 148 TABLE 95 ITALY: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 149 TABLE 96 ITALY: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 149 TABLE 97 ITALY: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 149 TABLE 98 ITALY: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 150 TABLE 99 ITALY: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 150 TABLE 100 SPAIN: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 151 TABLE 101 SPAIN: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 151 TABLE 102 SPAIN: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 151 TABLE 103 SPAIN: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 152 TABLE 104 SPAIN: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 152 TABLE 105 SPAIN: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 152 TABLE 106 REST OF EUROPE: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 153 TABLE 107 REST OF EUROPE: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 153 TABLE 108 REST OF EUROPE: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 153 TABLE 109 REST OF EUROPE: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 154 TABLE 110 REST OF EUROPE: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 154 TABLE 111 REST OF EUROPE: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 154 TABLE 112 ASIA PACIFIC: AI IN AVIATION MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 157 TABLE 113 ASIA PACIFIC: AI IN AVIATION MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 158 TABLE 114 ASIA PACIFIC: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 158 TABLE 115 ASIA PACIFIC: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 159 TABLE 116 ASIA PACIFIC: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 159 TABLE 117 ASIA PACIFIC: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 159 TABLE 118 ASIA PACIFIC: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 160 TABLE 119 ASIA PACIFIC: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 160 TABLE 120 CHINA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 161 TABLE 121 CHINA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 161 TABLE 122 CHINA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 161 TABLE 123 CHINA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 162 TABLE 124 CHINA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 162 TABLE 125 CHINA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 162 TABLE 126 INDIA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 163 TABLE 127 INDIA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 163 TABLE 128 INDIA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 164 TABLE 129 INDIA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 164 TABLE 130 INDIA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 164 TABLE 131 INDIA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 164 TABLE 132 JAPAN: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 165 TABLE 133 JAPAN: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 166 TABLE 134 JAPAN: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 166 TABLE 135 JAPAN: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 166 TABLE 136 JAPAN: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 167 TABLE 137 JAPAN: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 167 TABLE 138 SOUTH KOREA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 168 TABLE 139 SOUTH KOREA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 168 TABLE 140 SOUTH KOREA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 168 TABLE 141 SOUTH KOREA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 169 TABLE 142 SOUTH KOREA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 169 TABLE 143 SOUTH KOREA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 169 TABLE 144 NEW ZEALAND: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 170 TABLE 145 NEW ZEALAND: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 170 TABLE 146 NEW ZEALAND: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 171 TABLE 147 NEW ZEALAND: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 171 TABLE 148 NEW ZEALAND: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 171 TABLE 149 NEW ZEALAND: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 171 TABLE 150 AUSTRALIA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 172 TABLE 151 AUSTRALIA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 173 TABLE 152 AUSTRALIA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 173 TABLE 153 AUSTRALIA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 173 TABLE 154 AUSTRALIA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 174 TABLE 155 AUSTRALIA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 174 TABLE 156 REST OF ASIA PACIFIC: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 175 TABLE 157 REST OF ASIA PACIFIC: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 175 TABLE 158 REST OF ASIA PACIFIC: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 176 TABLE 159 REST OF ASIA PACIFIC: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 176 TABLE 160 REST OF ASIA PACIFIC: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 176 TABLE 161 REST OF ASIA PACIFIC: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 177 TABLE 162 MIDDLE EAST: AI IN AVIATION MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 179 TABLE 163 MIDDLE EAST: AI IN AVIATION MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 180 TABLE 164 MIDDLE EAST: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 180 TABLE 165 MIDDLE EAST: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 180 TABLE 166 MIDDLE EAST: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 181 TABLE 167 MIDDLE EAST: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 181 TABLE 168 MIDDLE EAST: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 181 TABLE 169 MIDDLE EAST: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 181 TABLE 170 SAUDI ARABIA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 182 TABLE 171 SAUDI ARABIA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 183 TABLE 172 SAUDI ARABIA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 183 TABLE 173 SAUDI ARABIA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 183 TABLE 174 SAUDI ARABIA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 184 TABLE 175 SAUDI ARABIA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 184 TABLE 176 UAE: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 185 TABLE 177 UAE: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 185 TABLE 178 UAE: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 185 TABLE 179 UAE: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 186 TABLE 180 UAE: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 186 TABLE 181 UAE: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 186 TABLE 182 TURKEY: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 187 TABLE 183 TURKEY: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 187 TABLE 184 TURKEY: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 188 TABLE 185 TURKEY: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 188 TABLE 186 TURKEY: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 188 TABLE 187 TURKEY: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 188 TABLE 188 REST OF MIDDLE EAST: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 189 TABLE 189 REST OF MIDDLE EAST: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 189 TABLE 190 REST OF MIDDLE EAST: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 190 TABLE 191 REST OF MIDDLE EAST: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 190 TABLE 192 REST OF MIDDLE EAST: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 190 TABLE 193 REST OF MIDDLE EAST: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 191 TABLE 194 LATIN AMERICA: AI IN AVIATION MARKET, BY COUNTRY, 2021–2024 (USD MILLION) 194 TABLE 195 LATIN AMERICA: AI IN AVIATION MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 194 TABLE 196 LATIN AMERICA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 194 TABLE 197 LATIN AMERICA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 195 TABLE 198 LATIN AMERICA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 195 TABLE 199 LATIN AMERICA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 195 TABLE 200 LATIN AMERICA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 196 TABLE 201 LATIN AMERICA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 196 TABLE 202 BRAZIL: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 197 TABLE 203 BRAZIL: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 197 TABLE 204 BRAZIL: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 197 TABLE 205 BRAZIL: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 198 TABLE 206 BRAZIL: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 198 TABLE 207 BRAZIL: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 198 TABLE 208 MEXICO: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 199 TABLE 209 MEXICO: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 199 TABLE 210 MEXICO: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 200 TABLE 211 MEXICO: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 200 TABLE 212 MEXICO: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 200 TABLE 213 MEXICO: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 200 TABLE 214 CHILE: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 201 TABLE 215 CHILE: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 202 TABLE 216 CHILE: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 202 TABLE 217 CHILE: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 202 TABLE 218 CHILE AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 203 TABLE 219 CHILE: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 203 TABLE 220 ARGENTINA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 204 TABLE 221 ARGENTINA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 204 TABLE 222 ARGENTINA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 204 TABLE 223 ARGENTINA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 205 TABLE 224 ARGENTINA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 205 TABLE 225 ARGENTINA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 205 TABLE 226 REST OF LATIN AMERICA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 206 TABLE 227 REST OF LATIN AMERICA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 206 TABLE 228 REST OF LATIN AMERICA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 207 TABLE 229 REST OF LATIN AMERICA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 207 TABLE 230 REST OF LATIN AMERICA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 207 TABLE 231 REST OF LATIN AMERICA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 208 TABLE 232 AFRICA: AI IN AVIATION MARKET, BY COUNTRY 2021–2024 (USD MILLION) 210 TABLE 233 AFRICA: AI IN AVIATION MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 211 TABLE 234 AFRICA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 211 TABLE 235 AFRICA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 211 TABLE 236 AFRICA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 212 TABLE 237 AFRICA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 212 TABLE 238 AFRICA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 212 TABLE 239 AFRICA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 212 TABLE 240 SOUTH AFRICA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 213 TABLE 241 SOUTH AFRICA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 214 TABLE 242 SOUTH AFRICA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 214 TABLE 243 SOUTH AFRICA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 214 TABLE 244 SOUTH AFRICA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 215 TABLE 245 SOUTH AFRICA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 215 TABLE 246 EGYPT: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 216 TABLE 247 EGYPT: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 216 TABLE 248 EGYPT: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 216 TABLE 249 EGYPT: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 217 TABLE 250 EGYPT: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 217 TABLE 251 EGYPT: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 217 TABLE 252 REST OF AFRICA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2021–2024 (USD MILLION) 218 TABLE 253 REST OF AFRICA: AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 218 TABLE 254 REST OF AFRICA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2021–2024 (USD MILLION) 218 TABLE 255 REST OF AFRICA: AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 219 TABLE 256 REST OF AFRICA: AI IN AVIATION MARKET, BY SOLUTION, 2021–2024 (USD MILLION) 219 TABLE 257 REST OF AFRICA: AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 219 TABLE 258 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020–2024 220 TABLE 259 AI IN AVIATION MARKET: DEGREE OF COMPETITION 223 TABLE 260 REGION FOOTPRINT 231 TABLE 261 SOLUTION FOOTPRINT 232 TABLE 262 TECHNOLOGY FOOTPRINT 233 TABLE 263 BUSINESS FUNCTION FOOTPRINT 234 TABLE 264 LIST OF START-UPS/SMES 237 TABLE 265 COMPETITIVE BENCHMARKING OF START-UPS/SMES 238 TABLE 266 AI IN AVIATION MARKET: PRODUCT LAUNCHES, 2021–2025 239 TABLE 267 AI IN AVIATION MARKET: DEALS, 2021–2025 240 TABLE 268 AI IN AVIATION MARKET: OTHERS, 2021–2025 247 TABLE 269 AMADEUS IT GROUP S.A.: COMPANY OVERVIEW 248 TABLE 270 AMADEUS IT GROUP S.A.: PRODUCTS OFFERED 249 TABLE 271 AMADEUS IT GROUP S.A.: DEALS 251 TABLE 272 HONEYWELL INTERNATIONAL INC.: COMPANY OVERVIEW 253 TABLE 273 HONEYWELL INTERNATIONAL INC.: PRODUCTS OFFERED 254 TABLE 274 HONEYWELL INTERNATIONAL INC.: PRODUCT LAUNCHES 255 TABLE 275 HONEYWELL INTERNATIONAL INC.: DEALS 255 TABLE 276 HONEYWELL INTERNATIONAL INC.: OTHERS 256 TABLE 277 MICROSOFT: COMPANY OVERVIEW 257 TABLE 278 MICROSOFT: PRODUCTS OFFERED 258 TABLE 279 MICROSOFT: DEALS 259 TABLE 280 MICROSOFT: OTHERS 260 TABLE 281 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW 261 TABLE 282 AMAZON WEB SERVICES, INC.: PRODUCTS OFFERED 262 TABLE 283 AMAZON WEB SERVICES, INC.: DEALS 263 TABLE 284 GENERAL ELECTRIC COMPANY: COMPANY OVERVIEW 265 TABLE 285 GENERAL ELECTRIC COMPANY: PRODUCTS OFFERED 266 TABLE 286 GENERAL ELECTRIC COMPANY: DEALS 266 TABLE 287 COLLINS AEROSPACE: COMPANY OVERVIEW 268 TABLE 288 COLLINS AEROSPACE: PRODUCTS OFFERED 268 TABLE 289 SITA: COMPANY OVERVIEW 270 TABLE 290 SITA: PRODUCTS OFFERED 270 TABLE 291 SITA: PRODUCT LAUNCHES 272 TABLE 292 SITA: DEALS 273 TABLE 293 PALANTIR TECHNOLOGIES INC.: COMPANY OVERVIEW 274 TABLE 294 PALANTIR TECHNOLOGIES INC.: PRODUCTS OFFERED 275 TABLE 295 PALANTIR TECHNOLOGIES INC.: DEALS 275 TABLE 296 LUFTHANSA TECHNIK: COMPANY OVERVIEW 276 TABLE 297 LUFTHANSA TECHNIK: PRODUCTS OFFERED 277 TABLE 298 LUFTHANSA TECHNIK: DEALS 277 TABLE 299 THALES: COMPANY OVERVIEW 278 TABLE 300 THALES: PRODUCTS OFFERED 279 TABLE 301 THALES: DEALS 279 TABLE 302 IBM CORPORATION: COMPANY OVERVIEW 280 TABLE 303 IBM CORPORATION: PRODUCTS OFFERED 281 TABLE 304 IBM CORPORATION: DEALS 282 TABLE 305 ACCENTURE: COMPANY OVERVIEW 283 TABLE 306 ACCENTURE: PRODUCTS OFFERED 284 TABLE 307 ACCENTURE: DEALS 284 TABLE 308 RAMCO SYSTEMS: COMPANY OVERVIEW 285 TABLE 309 RAMCO SYSTEMS: PRODUCTS OFFERED 286 TABLE 310 RAMCO SYSTEMS: PRODUCT LAUNCHES 286 TABLE 311 RAMCO SYSTEMS: OTHERS 286 TABLE 312 TATA CONSULTANCY SERVICES LIMITED: COMPANY OVERVIEW 287 TABLE 313 TATA CONSULTANCY SERVICES LIMITED: PRODUCTS OFFERED 288 TABLE 314 TATA CONSULTANCY SERVICES LIMITED: DEALS 288 TABLE 315 TATA CONSULTANCY SERVICES LIMITED: OTHERS 289 TABLE 316 WIPRO: COMPANY OVERVIEW 290 TABLE 317 WIPRO: PRODUCTS OFFERED 291 TABLE 318 WIPRO: DEALS 291 TABLE 319 WIPRO: OTHERS 291 TABLE 320 INFOSYS LIMITED: COMPANY OVERVIEW 292 TABLE 321 INFOSYS LIMITED: PRODUCTS OFFERED 293 TABLE 322 INFOSYS LIMITED: DEALS 293 FIGURE 1 AI IN AVIATION MARKET SNAPSHOT 29 FIGURE 2 RESEARCH DESIGN MODEL 33 FIGURE 3 RESEARCH DESIGN 34 FIGURE 4 BOTTOM-UP APPROACH 38 FIGURE 5 TOP-DOWN APPROACH 38 FIGURE 6 DATA TRIANGULATION 39 FIGURE 7 SOFTWARE SEGMENT TO BE DOMINANT DURING FORECAST PERIOD 42 FIGURE 8 AIRLINES & OPERATORS TO SURPASS OTHER SEGMENTS DURING FORECAST PERIOD 43 FIGURE 9 GENERATIVE AI TO BE FASTEST-GROWING SEGMENT DURING FORECAST PERIOD 43 FIGURE 10 ASIA PACIFIC TO EXHIBIT FASTEST GROWTH DURING FORECAST PERIOD 44 FIGURE 11 NEED FOR PREDICTIVE MAINTENANCE AND COST OPTIMIZATION IN AVIATION TO DRIVE MARKET 45 FIGURE 12 SOFTWARE TO SECURE LEADING POSITION DURING FORECAST PERIOD 46 FIGURE 13 GENERATIVE AI TO BE LARGEST SEGMENT DURING FORECAST PERIOD 46 FIGURE 14 AIRLINES & OPERATORS TO ACQUIRE MAXIMUM SHARE IN 2030 47 FIGURE 15 AI IN AVIATION MARKET DYNAMICS 48 FIGURE 16 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS 54 FIGURE 17 ECOSYSTEM ANALYSIS 57 FIGURE 18 VALUE CHAIN ANALYSIS 58 FIGURE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS 60 FIGURE 20 KEY BUYING CRITERIA FOR TOP THREE END USERS 61 FIGURE 21 INVESTMENT AND FUNDING SCENARIO, 2020–2024 66 FIGURE 22 EVOLUTION OF TECHNOLOGY 71 FIGURE 23 TECHNOLOGY ROADMAP 71 FIGURE 24 PATENT ANALYSIS 72 FIGURE 25 BUSINESS MODELS IN AI IN AVIATION MARKET 80 FIGURE 26 AI IN AVIATION MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION) 84 FIGURE 27 AI IN AVIATION MARKET, BY SOLUTION, 2025–2030 (USD MILLION) 108 FIGURE 28 AI IN AVIATION MARKET, BY TECHNOLOGY, 2025–2030 (USD MILLION) 115 FIGURE 29 AI IN AVIATION MARKET, BY END USER, 2025–2030 (USD MILLION) 121 FIGURE 30 AI IN AVIATION MARKET, BY REGION, 2025–2030 125 FIGURE 31 NORTH AMERICA: AI IN AVIATION MARKET SNAPSHOT 128 FIGURE 32 EUROPE: AI IN AVIATION MARKET SNAPSHOT 138 FIGURE 33 ASIA PACIFIC: AI IN AVIATION MARKET SNAPSHOT 157 FIGURE 34 MIDDLE EAST: AI IN AVIATION MARKET SNAPSHOT 179 FIGURE 35 LATIN AMERICA: AI IN AVIATION MARKET SNAPSHOT 193 FIGURE 36 AFRICA: AI IN AVIATION MARKET SNAPSHOT 210 FIGURE 37 REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2021–2024 222 FIGURE 38 MARKET SHARE ANALYSIS OF KEY PLAYERS, 2024 223 FIGURE 39 BRAND/PRODUCT COMPARISON 226 FIGURE 40 FINANCIAL METRICS OF PROMINENT PLAYERS 227 FIGURE 41 VALUATION OF PROMINENT PLAYERS 228 FIGURE 42 COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024 229 FIGURE 43 COMPANY FOOTPRINT 230 FIGURE 44 COMPANY EVALUATION MATRIX (START-UPS/SMES), 2024 236 FIGURE 45 AMADEUS IT GROUP S.A.: COMPANY SNAPSHOT 249 FIGURE 46 HONEYWELL INTERNATIONAL INC.: COMPANY SNAPSHOT 254 FIGURE 47 MICROSOFT: COMPANY SNAPSHOT 258 FIGURE 48 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT 261 FIGURE 49 GENERAL ELECTRIC COMPANY: COMPANY SNAPSHOT 265 FIGURE 50 PALANTIR TECHNOLOGIES INC.: COMPANY SNAPSHOT 274 FIGURE 51 LUFTHANSA TECHNIK: COMPANY SNAPSHOT 276 FIGURE 52 THALES: COMPANY SNAPSHOT 278 FIGURE 53 IBM CORPORATION: COMPANY SNAPSHOT 280 FIGURE 54 ACCENTURE: COMPANY SNAPSHOT 283 FIGURE 55 RAMCO SYSTEMS: COMPANY SNAPSHOT 285 FIGURE 56 TATA CONSULTANCY SERVICES LIMITED: COMPANY SNAPSHOT 287 FIGURE 57 WIPRO: COMPANY SNAPSHOT 290 FIGURE 58 INFOSYS LIMITED: COMPANY SNAPSHOT 292

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