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市場調查報告書
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1806626

2025 年至 2030 年全球航空人工智慧市場預測（按組件、技術、應用、部署模式、最終用途和組織規模分類）

Artificial Intelligence in Aviation Market by Component, Technology, Application, Deployment Mode, End Use, Organization Size - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 183 Pages | 商品交期: 最快1-2個工作天內

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預計2024年航空業人工智慧市場價值將達15.2億美元，2025年將成長至17.5億美元，複合年成長率為15.24%，到2030年將達到35.7億美元。

主要市場統計數據
基準年2024年 15.2億美元
預計2025年 17.5億美元
預測年份 2030 35.7億美元
複合年成長率（%） 15.24%

探索人工智慧的興起，它透過前所未有的營運效率和創新塑造航空業的未來

航空業正處於人工智慧驅動的變革時代的開端，開啟了營運效率、安全和乘客體驗的全新典範。隨著航空公司、機場和空中導航服務提供者努力滿足日益成長的需求，人工智慧技術已成為實現關鍵流程自動化、增強人類決策能力和最佳化資源配置的重要工具。利用先進的數據分析、電腦視覺和機器學習，相關人員可以預測維護需求、簡化航班營運並增強即時空中交通管制，最終為整個價值鏈提供靈活、經濟高效的解決方案。

確定由人工智慧創新推動的變革性模式轉移，這些轉變將徹底改變航空安全、效率和卓越營運

隨著人工智慧重塑傳統營運框架，航空業正經歷重大轉型。近年來，安全管理系統已從人工報告轉向人工智慧驅動的事件檢測，利用電腦視覺和預測分析在異常情況惡化之前識別它們。此外，航空公司正在採用深度學習演算法即時最佳化航線，將天氣模式、空域擁塞和燃油消費量納入考量，顯著降低營運成本並排放。

分析2025年美國關稅對航空業人工智慧整合與供應鏈動態的累積影響

美國將於2025年對關鍵航空零件徵收新關稅，此舉將波及全球供應鏈，影響人工智慧部署的籌資策略和成本結構。對處理器、感測器和儲存設備徵收關稅導致硬體成本上升，迫使相關人員探索其他採購模式，並深化與國內供應商的關係。因此，企業正在加大力度，實現供應商組合多元化，並加速近岸外包，以降低跨境貿易不確定性帶來的風險。

市場區隔的主要亮點，按組件、按技術、按應用、按部署模式、按最終用途和按組織觀點

全面了解市場區隔有助於明確如何客製化 AI 解決方案以滿足多樣化的航空需求。基於組件分析，生態系統涵蓋硬體、服務和軟體。硬體解決方案包括驅動即時分析的高效能處理器、用於精確資料擷取的先進感測器以及專為大規模資料保存設計的儲存設備。服務範圍從為 AI藍圖提供建議的策略諮詢，到確保平台可靠性的支援和維護，再到整合不同技術的系統整合計劃。同時，軟體平台範圍從用於跑道監控的電腦視覺應用程式，到增強需求預測的機器學習環境，再到促進直覺乘客互動的自然語言處理工具。

了解推動美洲、歐洲、中東、非洲和亞太地區航空市場成長和創新的區域動態

區域動態在塑造整個航空業的人工智慧投資方面發揮關鍵作用，反映了監管環境、基礎設施成熟度和戰略重點的差異。在美洲，強大的數位基礎設施和先進的政策框架正在加速預測性維護解決方案和人工智慧主導的空中交通管理系統的採用。北美的航空公司和機場正在與領先的技術供應商合作，試行自動巡檢無人機和智慧終端服務，並正在培育一個融合學術界、新興企業和成熟航太公司的創新生態系統。

推動航空生態系統人工智慧進步和策略夥伴關係的主要企業簡介

領先的航空公司正將自己定位為將人工智慧融入核心營運的先鋒，建立策略聯盟並投入研發以保持競爭優勢。產業主要企業正與技術供應商攜手合作，共同開發客製化的人工智慧平台，以應對獨特的營運挑戰，從飛機外部的自主檢測解決方案到空中交通管制員的即時決策支援儀錶板。同時，專注於預測物流和語音乘客助理等利基應用的創新新興企業正在與航空公司和機場合作，以加速其產品上市並擴大其成熟解決方案的規模。

為行業領導者提供可行的策略建議，以加速人工智慧的採用並最佳化航空營運

為了充分發揮人工智慧的潛力，產業領導者應採取多管齊下的策略，將技術創新與組織準備結合。首先，投資人才發展專案將培養應用人工智慧所需的專業技能，並使資料科學家、工程師和營運團隊能夠有效地協同工作。同時，建立專門的卓越中心可以集中最佳實踐，簡化先導計畫，並促進整個企業的知識轉移。

了解我們強大的調查方法，結合定性和定量技術，確保對航空市場的人工智慧進行強大的分析。

我們的調查方法嚴謹，結合定性和定量分析，旨在為航空業提供切實可行的人工智慧情報。研究流程首先深入訪談航空公司、機場、原始設備製造商 (OEM) 和服務整合商的高階主管、技術專家和營運經理，以獲得關於應用促進因素、挑戰和策略重點的第一手資料。除了這些初步訪談之外，我們還廣泛查閱了技術白皮書、行業標準文件和會議紀要，以檢驗新興使用案例和技術藍圖。

結論強調了人工智慧整合對於推動未來航空營運成長的策略要務

摘要，人工智慧將智慧融入生態系統的各個方面，從跑道監控和交通管理到維護調度和乘客處理，從而重新定義航空運作。先進硬體、專業軟體和專家服務的整合，為創新創造了肥沃的環境，使相關人員能夠超越傳統的成本削減措施，轉向主動的數據主導策略。

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章 市場概述

第5章市場動態

  • 航空公司與Start-Ups公司合作開發人工智慧驅動的永續性監測和報告平台
  • 整合電腦視覺和人工智慧，實現地面處理和行李處理工作流程自動化
  • 強化學習在不同環境條件下自適應飛行控制的應用
  • 探索人工智慧驅動的自主貨運無人機，以實現最後一英里的物流和配送最佳化
  • 航空公司實施人工智慧驅動的乘客體驗個人化和動態定價策略
  • 利用深度學習演算法實現航空領域的高階天氣預報和湍流預測
  • 部署基於人工智慧的網路安全通訊協定來保護關鍵的航空電子設備和通訊網路
  • 開發利用機器學習的自動駕駛輔助系統以提高情境察覺
  • 透過引入人工智慧即時空中交通管理解決方案來提高飛行效率
  • 整合人工智慧驅動的預測性維護系統，最大限度地減少飛機意外停機時間

第6章 市場洞察

  • 波特五力分析
  • PESTEL分析

第7章 2025年美國關稅的累積影響

8. 航空人工智慧市場（按部件）

  • 硬體
    • 處理器
    • 感應器
    • 儲存裝置
  • 服務
    • 諮詢
    • 支援和維護
    • 系統整合
  • 軟體
    • 電腦視覺軟體
    • 機器學習平台
    • 自然語言處理軟體

9. 航空人工智慧市場（按技術）

  • 電腦視覺
  • 深度學習
  • 機器學習
  • 自然語言處理
  • 預測分析

第 10 章：航空人工智慧市場（按應用）

  • 空中交通管制
  • 貨運和物流
  • 最佳化航班營運
  • 乘客服務
  • 預測性維護
  • 安全管理

第 11 章：航空業人工智慧市場（按部署模式）

  • 雲
  • 本地

12. 航空人工智慧市場（依最終用途）

  • 空中導航服務供應商
  • 航空
  • 飛機場
  • MRO供應商
  • OEM

第 13 章：航空業人工智慧市場（按組織規模）

  • 主要企業
  • 小型企業

第 14 章：美洲航空人工智慧市場

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 阿根廷

15. 歐洲、中東和非洲航空人工智慧市場

  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 阿拉伯聯合大公國
  • 沙烏地阿拉伯
  • 南非
  • 丹麥
  • 荷蘭
  • 卡達
  • 芬蘭
  • 瑞典
  • 奈及利亞
  • 埃及
  • 土耳其
  • 以色列
  • 挪威
  • 波蘭
  • 瑞士

第 16 章：亞太航空人工智慧市場

  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國
  • 印尼
  • 泰國
  • 菲律賓
  • 馬來西亞
  • 新加坡
  • 越南
  • 台灣

第17章競爭格局

  • 2024年市場佔有率分析
  • 2024年FPNV定位矩陣
  • 競爭分析
    • Airbus SE
    • Amazon Web Services Inc.
    • AXISCADES Engineering Technologies Limited
    • Boeing Company
    • Dataiku Ltd.
    • Garmin Ltd.
    • GE Aerospace
    • International Business Machines Corporation
    • Iris Automation Inc.
    • Lockheed Martin Corporation
    • Micron Technology, Inc.
    • Honeywell International Inc.
    • Amadeus IT Group SA
    • Microsoft Corporation
    • Mindtitan OU
    • Neurala Inc.
    • Northrop Grumman Corporation
    • NVIDIA Corporation
    • Pilot AI Labs, Inc. by Syntiant Corp.
    • Samsung Electronics Co., Ltd.
    • Searidge Technologies Inc.
    • TAV Technologies
    • Thales SA
    • Tvarit GmbH
    • Xilinx, Inc. by AMD

第18章 研究人工智慧

第19章 研究統計

第20章 研究聯絡人

第21章 研究報導

第22章 附錄

Product Code: MRR-031BF22F954E

The Artificial Intelligence in Aviation Market was valued at USD 1.52 billion in 2024 and is projected to grow to USD 1.75 billion in 2025, with a CAGR of 15.24%, reaching USD 3.57 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 1.52 billion
Estimated Year [2025] USD 1.75 billion
Forecast Year [2030] USD 3.57 billion
CAGR (%) 15.24%

Exploring the Emergence of Artificial Intelligence Shaping the Future of Aviation Through Unprecedented Operational Efficiency and Innovation

The aviation industry stands at the threshold of a transformative era driven by artificial intelligence, ushering in a new paradigm of operational efficiency, safety, and passenger experience. As airlines, airports, and air navigation service providers strive to navigate increasing demands, AI technologies have emerged as indispensable tools for automating critical processes, augmenting human decision making, and optimizing resource allocation. By harnessing advanced data analytics, computer vision, and machine learning, stakeholders can anticipate maintenance requirements, streamline flight operations, and enhance real-time air traffic control, ultimately delivering agile, cost-effective solutions across the value chain.

In tandem, the convergence of hardware, software, and specialized services has accelerated AI adoption across multiple segments of the aviation ecosystem. From high-precision sensors and edge computing devices to sophisticated natural language processing platforms, the landscape of AI-powered solutions continues to broaden. These innovations enable predictive maintenance strategies that minimize unplanned downtime, bolster safety management frameworks that reduce incident rates, and personalize passenger services that elevate customer satisfaction. Consequently, the industry is witnessing a shift toward proactive rather than reactive operational models, fostering resilience in the face of evolving regulatory requirements and fluctuating market dynamics.

Looking ahead, collaboration among OEMs, airlines, airports, and service integrators will be paramount for unlocking the full potential of artificial intelligence. By forging strategic partnerships, investing in talent development, and embracing interoperable system architectures, aviation stakeholders can accelerate digital transformation at scale. This report provides an in-depth exploration of the critical drivers, emerging use cases, and strategic imperatives shaping the integration of AI in aviation, equipping leaders with the insights needed to chart a course toward sustainable growth and competitive differentiation.

Identifying Transformative Paradigm Shifts Driven by Artificial Intelligence Innovations Revolutionizing Aviation Safety, Efficiency, and Operational Excellence

The aviation landscape is undergoing a profound metamorphosis as artificial intelligence reshapes traditional operational frameworks. In recent years, safety management systems have transitioned from manual reporting to AI-driven incident detection, leveraging computer vision and predictive analytics to identify anomalies before they escalate. Moreover, airlines are deploying deep learning algorithms to optimize flight routes in real time, accounting for weather patterns, airspace congestion, and fuel consumption, thereby driving significant reductions in operating expenses and carbon emissions.

Concurrently, predictive maintenance has evolved from scheduled inspections to continuous monitoring regimes, underpinned by sensor-based analytics that forecast component wear and potential failures. This shift enables maintenance teams to preemptively address issues, reducing both turnaround times and the risk of costly unplanned groundings. In addition, passenger services are being revolutionized by natural language processing platforms that facilitate intelligent chatbots and voice assistants, streamlining check-in, baggage inquiries, and onboard support with unprecedented responsiveness.

Furthermore, cargo and logistics operations are experiencing transformative gains through AI-enabled warehouse automation and predictive load planning, ensuring timely delivery and enhanced asset utilization. Together, these innovations herald a new era of operational excellence, where data-driven decision making and adaptive systems converge to elevate both performance and safety benchmarks across the aviation ecosystem.

Analyzing the Cumulative Implications of United States Tariff Measures in 2025 on Artificial Intelligence Integration and Supply Chain Dynamics in Aviation

In 2025, the introduction of new United States tariffs on critical aviation components has reverberated across global supply chains, influencing procurement strategies and cost structures for artificial intelligence deployments. The imposition of levies on processors, sensors, and storage devices has elevated hardware costs, prompting stakeholders to explore alternative sourcing models and cultivate relationships with domestic suppliers. As a result, organizations have intensified efforts to diversify supplier portfolios and accelerate nearshoring initiatives that mitigate exposure to cross-border trade uncertainties.

Consequently, software and services providers are adapting pricing frameworks to absorb incremental tariff pressures, offering bundled consulting and system-integration solutions that deliver greater value to end users. This trend has spurred collaborative ventures between technology firms and maintenance, repair, and overhaul specialists, who co-develop innovative AI-powered toolkits tailored to localized regulatory environments. Moreover, airlines and airports are reassessing total cost of ownership models, placing greater emphasis on scalable cloud-based architectures that can dynamically allocate resources in response to shifting tariff regimes.

Looking forward, sustained tariffs have catalyzed an industry-wide pivot toward resilience and strategic agility. By leveraging in-country data centers, investing in workforce upskilling, and establishing robust risk-management frameworks, aviation stakeholders are positioning themselves to navigate evolving trade policies while capitalizing on the long-term benefits of artificial intelligence integration.

Delivering Key Market Segmentation Insights Highlighting Component Technology Application Deployment Mode End Use and Organization Size Perspectives

A comprehensive understanding of market segmentation offers clarity on how artificial intelligence solutions are tailored to meet diverse aviation requirements. Based on component analyses, the ecosystem unfolds across hardware, services, and software domains. Hardware solutions encompass high-performance processors that drive real-time analytics, advanced sensors for precise data capture, and storage devices designed for large-scale data retention. Services extend from strategic consulting engagements advising on AI roadmaps to support and maintenance offerings that ensure platform reliability and system integration projects that unify disparate technologies. Meanwhile, software platforms range from computer vision applications for runway monitoring to machine learning environments that enhance demand forecasting, and natural language processing tools that facilitate intuitive passenger interactions.

From a technology standpoint, the landscape includes computer vision systems that interpret visual data streams, deep learning models that uncover complex patterns, general machine learning frameworks adaptable to multiple use cases, natural language processing engines that parse human speech and text, and predictive analytics engines that anticipate maintenance needs or operational bottlenecks. Application-wise, AI powers air traffic control solutions that optimize flight sequencing, cargo and logistics platforms that streamline load management, flight operations optimization tools that reduce fuel burn, passenger services enhancements that personalize travel experiences, predictive maintenance programs that preempt equipment failures, and safety management modules that flag compliance risks.

Deployment strategies vary between cloud architectures that offer scalability and on-premises installations favored for data sovereignty. End users range from air navigation service providers orchestrating national airspace to airlines seeking competitive differentiation, airports aiming to improve throughput, maintenance, repair, and overhaul providers enhancing service offerings, and original equipment manufacturers embedding intelligence into next-generation platforms. Finally, organization size influences adoption patterns, with large enterprises driving extensive digital transformation programs, while small and medium enterprises focus on niche applications that deliver rapid return on investment.

Uncovering Regional Dynamics That Drive Growth and Innovation in the Americas Europe Middle East and Africa and Asia-Pacific Aviation Markets

Regional dynamics are instrumental in shaping artificial intelligence investments across the aviation sector, reflecting variations in regulatory landscapes, infrastructure maturity, and strategic priorities. In the Americas, robust digital infrastructures and progressive policy frameworks have accelerated the adoption of predictive maintenance solutions and AI-driven air traffic management systems. Carriers and airports in North America are partnering with leading technology vendors to pilot autonomous inspection drones and intelligent terminal services, fostering an innovation ecosystem that converges academia, startups, and established aerospace corporations.

Europe, the Middle East, and Africa present a multifaceted environment where legacy networks coexist with rapid expansion dynamics. European nations emphasize interoperability and data privacy, driving demand for on-premises AI solutions that align with stringent regulations. Meanwhile, airlines and airports in the Middle East are investing heavily in smart airport initiatives, integrating computer vision and biometrics to streamline passenger journeys. In Africa, the focus centers on leapfrogging outdated infrastructure by embracing cloud-native AI platforms that enhance connectivity and airspace surveillance across vast territories.

Asia-Pacific emerges as a hotbed of growth, where high passenger volumes and government-backed research programs stimulate widespread AI implementation. Key markets are witnessing extensive deployment of machine learning platforms for flight optimization, natural language interfaces for multilingual customer service, and predictive analytics for supply chain resilience. Across all regions, stakeholders are aligning AI strategies with sustainability goals, leveraging intelligent systems to reduce carbon footprints, optimize resource utilization, and promote greener aviation practices.

Profiling Leading Companies Driving Artificial Intelligence Advancements and Strategic Partnerships in the Aviation Ecosystem

Leading organizations in the aviation sector have established themselves as pioneers in integrating artificial intelligence into core operations, forging strategic collaborations and investing in research and development to maintain competitive advantage. Industry stalwarts have partnered with technology providers to co-create bespoke AI platforms that address unique operational challenges, ranging from autonomous inspection solutions for aircraft exteriors to real-time decision-support dashboards for air traffic controllers. Concurrently, innovative startups specializing in niche applications, such as predictive logistics or voice-enabled passenger assistants, are forming alliances with carriers and airports to accelerate market entry and scale proven solutions.

Moreover, collaborations between OEMs and software vendors have yielded integrated AI toolchains designed to optimize supply chain management, enhance component traceability, and improve safety management protocols. These joint ventures exemplify a shift toward ecosystem-wide integration, where data sharing across partners enhances predictive accuracy and drives collective value creation. Additionally, alliances with academic institutions and research labs have fueled pilot programs in deep learning for runway condition monitoring and advanced sensor fusion for condition-based maintenance.

As competitive landscapes intensify, key companies are differentiating through intellectual property development, talent acquisition, and ecosystem orchestration. By participating in industry consortia and standardization bodies, these organizations are shaping the contours of AI governance, ensuring that technological advancements align with regulatory requirements and ethical guidelines. Ultimately, such partnerships and collaborations are central to delivering scalable, resilient, and compliant AI solutions that redefine the future of aviation.

Presenting Actionable Strategic Recommendations for Industry Leaders to Accelerate Artificial Intelligence Adoption and Optimize Aviation Operations

To harness the full potential of artificial intelligence, industry leaders should adopt a multi-faceted strategy that bridges technological innovation with organizational readiness. First, investing in talent development programs will cultivate the specialized skill sets necessary for AI implementation, ensuring that data scientists, engineers, and operational teams collaborate effectively. Simultaneously, establishing dedicated centers of excellence can centralize best practices, streamline pilot projects, and facilitate knowledge transfer across the enterprise.

Next, forging strategic alliances with technology vendors, research institutions, and regulatory bodies will expedite solution validation and foster interoperability. In doing so, organizations can leverage shared infrastructure, co-develop standardized protocols, and accelerate time to deployment. Moreover, embracing hybrid deployment architectures that combine edge computing with cloud-native platforms will provide the flexibility to process critical insights on-site while scaling analytics workloads in centralized data centers.

Finally, implementing robust governance frameworks will safeguard data integrity, ensure compliance with evolving regulations, and embed ethical considerations into AI lifecycle management. By prioritizing transparency, security, and accountability, aviation stakeholders can build trust among passengers, regulators, and partners, laying the groundwork for sustained innovation and value creation.

Detailing the Robust Research Methodology Combining Qualitative and Quantitative Techniques to Ensure Artificial Intelligence Aviation Market Analysis

This research employs a rigorous methodology that integrates qualitative and quantitative approaches to deliver actionable intelligence on artificial intelligence in aviation. The process began with in-depth interviews featuring senior executives, technical experts, and operational managers across airlines, airports, OEMs, and service integrators to capture firsthand insights on adoption drivers, challenges, and strategic priorities. These primary interactions were complemented by a thorough review of technical white papers, industry standards documents, and conference proceedings to validate emerging use cases and technology roadmaps.

Quantitative data collection involved aggregating secondary sources, including regulatory filings, corporate disclosures, and trade association reports, to construct a comprehensive database of AI initiatives and partnerships. Data triangulation techniques were applied to reconcile discrepancies and enhance reliability, while scenario modeling assessed the potential impact of variables such as tariff changes or infrastructure investments. Finally, findings were synthesized into thematic frameworks that highlight market dynamics, segmentation nuances, and regional differentiators, ensuring a coherent narrative and strategic relevance.

Concluding Insights Emphasizing the Strategic Imperatives of Artificial Intelligence Integration to Propel Future Growth in Aviation Operations

In summary, artificial intelligence stands poised to redefine aviation operations by embedding intelligence into every facet of the ecosystem- from runway surveillance and traffic management to maintenance scheduling and passenger engagement. The convergence of advanced hardware, specialized software, and expert services has created a fertile environment for innovation, enabling stakeholders to move beyond traditional cost-cutting measures toward proactive, data-driven strategies.

As the industry navigates evolving trade policies, regulatory frameworks, and competitive pressures, AI will serve as a catalyst for resilience and strategic differentiation. Organizations that prioritize ecosystem collaboration, invest in scalable architectures, and uphold governance standards will unlock new efficiencies and elevate safety benchmarks. Ultimately, the strategic integration of artificial intelligence will determine which aviation players lead the transformation, setting the stage for a more agile, sustainable, and passenger-centric future.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

  • 4.1. Introduction
  • 4.2. Market Sizing & Forecasting

5. Market Dynamics

  • 5.1. Collaboration between airlines and startups to develop AI-driven sustainability monitoring and reporting platforms
  • 5.2. Integration of computer vision and AI to automate ground operations and baggage handling workflows
  • 5.3. Application of reinforcement learning for adaptive flight control under diverse environmental conditions
  • 5.4. Research into autonomous cargo drones leveraging AI for last-mile logistics and delivery optimization
  • 5.5. Implementation of AI-enabled passenger experience personalization and dynamic pricing strategies on airlines
  • 5.6. Utilization of deep learning algorithms for advanced weather forecasting and turbulence prediction in aviation
  • 5.7. Deployment of AI-based cybersecurity protocols to secure critical avionics and communication networks
  • 5.8. Development of automated pilot assistance systems using machine learning for enhanced situational awareness
  • 5.9. Adoption of AI-powered real-time air traffic management solutions for improved flight efficiency
  • 5.10. Integration of AI-driven predictive maintenance systems to minimize unexpected aircraft downtime

6. Market Insights

  • 6.1. Porter's Five Forces Analysis
  • 6.2. PESTLE Analysis

7. Cumulative Impact of United States Tariffs 2025

8. Artificial Intelligence in Aviation Market, by Component

  • 8.1. Introduction
  • 8.2. Hardware
    • 8.2.1. Processors
    • 8.2.2. Sensors
    • 8.2.3. Storage Devices
  • 8.3. Services
    • 8.3.1. Consulting
    • 8.3.2. Support And Maintenance
    • 8.3.3. System Integration
  • 8.4. Software
    • 8.4.1. Computer Vision Software
    • 8.4.2. Machine Learning Platforms
    • 8.4.3. Natural Language Processing Software

9. Artificial Intelligence in Aviation Market, by Technology

  • 9.1. Introduction
  • 9.2. Computer Vision
  • 9.3. Deep Learning
  • 9.4. Machine Learning
  • 9.5. Natural Language Processing
  • 9.6. Predictive Analytics

10. Artificial Intelligence in Aviation Market, by Application

  • 10.1. Introduction
  • 10.2. Air Traffic Control
  • 10.3. Cargo And Logistics
  • 10.4. Flight Operations Optimization
  • 10.5. Passenger Services
  • 10.6. Predictive Maintenance
  • 10.7. Safety Management

11. Artificial Intelligence in Aviation Market, by Deployment Mode

  • 11.1. Introduction
  • 11.2. Cloud
  • 11.3. On Premises

12. Artificial Intelligence in Aviation Market, by End Use

  • 12.1. Introduction
  • 12.2. Air Navigation Services Providers
  • 12.3. Airlines
  • 12.4. Airports
  • 12.5. Mro Providers
  • 12.6. Oems

13. Artificial Intelligence in Aviation Market, by Organization Size

  • 13.1. Introduction
  • 13.2. Large Enterprises
  • 13.3. Small And Medium Enterprises

14. Americas Artificial Intelligence in Aviation Market

  • 14.1. Introduction
  • 14.2. United States
  • 14.3. Canada
  • 14.4. Mexico
  • 14.5. Brazil
  • 14.6. Argentina

15. Europe, Middle East & Africa Artificial Intelligence in Aviation Market

  • 15.1. Introduction
  • 15.2. United Kingdom
  • 15.3. Germany
  • 15.4. France
  • 15.5. Russia
  • 15.6. Italy
  • 15.7. Spain
  • 15.8. United Arab Emirates
  • 15.9. Saudi Arabia
  • 15.10. South Africa
  • 15.11. Denmark
  • 15.12. Netherlands
  • 15.13. Qatar
  • 15.14. Finland
  • 15.15. Sweden
  • 15.16. Nigeria
  • 15.17. Egypt
  • 15.18. Turkey
  • 15.19. Israel
  • 15.20. Norway
  • 15.21. Poland
  • 15.22. Switzerland

16. Asia-Pacific Artificial Intelligence in Aviation Market

  • 16.1. Introduction
  • 16.2. China
  • 16.3. India
  • 16.4. Japan
  • 16.5. Australia
  • 16.6. South Korea
  • 16.7. Indonesia
  • 16.8. Thailand
  • 16.9. Philippines
  • 16.10. Malaysia
  • 16.11. Singapore
  • 16.12. Vietnam
  • 16.13. Taiwan

17. Competitive Landscape

  • 17.1. Market Share Analysis, 2024
  • 17.2. FPNV Positioning Matrix, 2024
  • 17.3. Competitive Analysis
    • 17.3.1. Airbus SE
    • 17.3.2. Amazon Web Services Inc.
    • 17.3.3. AXISCADES Engineering Technologies Limited
    • 17.3.4. Boeing Company
    • 17.3.5. Dataiku Ltd.
    • 17.3.6. Garmin Ltd.
    • 17.3.7. GE Aerospace
    • 17.3.8. International Business Machines Corporation
    • 17.3.9. Iris Automation Inc.
    • 17.3.10. Lockheed Martin Corporation
    • 17.3.11. Micron Technology, Inc.
    • 17.3.12. Honeywell International Inc.
    • 17.3.13. Amadeus IT Group S.A.
    • 17.3.14. Microsoft Corporation
    • 17.3.15. Mindtitan OU
    • 17.3.16. Neurala Inc.
    • 17.3.17. Northrop Grumman Corporation
    • 17.3.18. NVIDIA Corporation
    • 17.3.19. Pilot AI Labs, Inc. by Syntiant Corp.
    • 17.3.20. Samsung Electronics Co., Ltd.
    • 17.3.21. Searidge Technologies Inc.
    • 17.3.22. TAV Technologies
    • 17.3.23. Thales S.A.
    • 17.3.24. Tvarit GmbH
    • 17.3.25. Xilinx, Inc. by AMD

18. ResearchAI

19. ResearchStatistics

20. ResearchContacts

21. ResearchArticles

22. Appendix

LIST OF FIGURES

  • FIGURE 1. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET RESEARCH PROCESS
  • FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2024 VS 2030 (%)
  • FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2030 (%)
  • FIGURE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 17. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 18. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 19. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 20. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 23. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 24. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 25. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 26. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET, FPNV POSITIONING MATRIX, 2024
  • FIGURE 27. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET: RESEARCHAI
  • FIGURE 28. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET: RESEARCHSTATISTICS
  • FIGURE 29. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET: RESEARCHCONTACTS
  • FIGURE 30. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET: RESEARCHARTICLES

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, 2018-2024 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, 2025-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY PROCESSORS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY PROCESSORS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SENSORS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SENSORS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY STORAGE DEVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY STORAGE DEVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY CONSULTING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY CONSULTING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SUPPORT AND MAINTENANCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SUPPORT AND MAINTENANCE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SYSTEM INTEGRATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SYSTEM INTEGRATION, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPUTER VISION SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPUTER VISION SOFTWARE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY MACHINE LEARNING PLATFORMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY MACHINE LEARNING PLATFORMS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING SOFTWARE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2025-2030 (USD MILLION)
  • TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPUTER VISION, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEEP LEARNING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY AIR TRAFFIC CONTROL, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY AIR TRAFFIC CONTROL, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY CARGO AND LOGISTICS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY CARGO AND LOGISTICS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY FLIGHT OPERATIONS OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY FLIGHT OPERATIONS OPTIMIZATION, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY PASSENGER SERVICES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY PASSENGER SERVICES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SAFETY MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SAFETY MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY CLOUD, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY CLOUD, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ON PREMISES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ON PREMISES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2018-2024 (USD MILLION)
  • TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2025-2030 (USD MILLION)
  • TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY AIR NAVIGATION SERVICES PROVIDERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY AIR NAVIGATION SERVICES PROVIDERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY AIRLINES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY AIRLINES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY AIRPORTS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY AIRPORTS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY MRO PROVIDERS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY MRO PROVIDERS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY OEMS, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY OEMS, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SMALL AND MEDIUM ENTERPRISES, BY REGION, 2018-2024 (USD MILLION)
  • TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SMALL AND MEDIUM ENTERPRISES, BY REGION, 2025-2030 (USD MILLION)
  • TABLE 91. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 92. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 93. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 94. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 95. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 96. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 97. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 98. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 99. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 100. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2025-2030 (USD MILLION)
  • TABLE 101. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 102. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 103. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 104. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 105. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2018-2024 (USD MILLION)
  • TABLE 106. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2025-2030 (USD MILLION)
  • TABLE 107. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 108. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 109. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 110. AMERICAS ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 111. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 112. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 113. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 114. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 115. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 116. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 117. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 118. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 119. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 120. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2025-2030 (USD MILLION)
  • TABLE 121. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 122. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 123. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 124. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 125. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2018-2024 (USD MILLION)
  • TABLE 126. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2025-2030 (USD MILLION)
  • TABLE 127. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 128. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 129. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY STATE, 2018-2024 (USD MILLION)
  • TABLE 130. UNITED STATES ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY STATE, 2025-2030 (USD MILLION)
  • TABLE 131. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 132. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 133. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 134. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 135. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 136. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 137. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 138. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 139. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 140. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2025-2030 (USD MILLION)
  • TABLE 141. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 142. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 143. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 144. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 145. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2018-2024 (USD MILLION)
  • TABLE 146. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2025-2030 (USD MILLION)
  • TABLE 147. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 148. CANADA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 149. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 150. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 151. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 152. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 153. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 154. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 155. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 156. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 157. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 158. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2025-2030 (USD MILLION)
  • TABLE 159. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 160. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 161. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 162. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 163. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2018-2024 (USD MILLION)
  • TABLE 164. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2025-2030 (USD MILLION)
  • TABLE 165. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 166. MEXICO ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 167. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 168. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 169. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 170. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 171. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 172. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 173. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 174. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 175. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 176. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2025-2030 (USD MILLION)
  • TABLE 177. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 178. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 179. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 180. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 181. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2018-2024 (USD MILLION)
  • TABLE 182. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2025-2030 (USD MILLION)
  • TABLE 183. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 184. BRAZIL ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 185. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 186. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 187. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 188. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 189. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 190. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 191. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 192. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 193. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 194. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2025-2030 (USD MILLION)
  • TABLE 195. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 196. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 197. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 198. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 199. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2018-2024 (USD MILLION)
  • TABLE 200. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2025-2030 (USD MILLION)
  • TABLE 201. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 202. ARGENTINA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 203. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 204. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 205. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 206. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 207. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 208. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 209. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 210. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 211. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 212. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2025-2030 (USD MILLION)
  • TABLE 213. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 214. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 215. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 216. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 217. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2018-2024 (USD MILLION)
  • TABLE 218. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2025-2030 (USD MILLION)
  • TABLE 219. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 220. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 221. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
  • TABLE 222. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
  • TABLE 223. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 224. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 225. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 226. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 227. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 228. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 229. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 230. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 231. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 232. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2025-2030 (USD MILLION)
  • TABLE 233. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 234. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 235. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 236. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 237. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2018-2024 (USD MILLION)
  • TABLE 238. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2025-2030 (USD MILLION)
  • TABLE 239. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 240. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 241. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 242. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 243. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 244. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 245. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 246. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 247. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 248. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 249. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 250. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2025-2030 (USD MILLION)
  • TABLE 251. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 252. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 253. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 254. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 255. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2018-2024 (USD MILLION)
  • TABLE 256. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2025-2030 (USD MILLION)
  • TABLE 257. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 258. GERMANY ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 259. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 260. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 261. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 262. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 263. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 264. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 265. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 266. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 267. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 268. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2025-2030 (USD MILLION)
  • TABLE 269. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 270. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 271. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 272. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 273. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2018-2024 (USD MILLION)
  • TABLE 274. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2025-2030 (USD MILLION)
  • TABLE 275. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2018-2024 (USD MILLION)
  • TABLE 276. FRANCE ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY ORGANIZATION SIZE, 2025-2030 (USD MILLION)
  • TABLE 277. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2018-2024 (USD MILLION)
  • TABLE 278. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY COMPONENT, 2025-2030 (USD MILLION)
  • TABLE 279. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
  • TABLE 280. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
  • TABLE 281. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
  • TABLE 282. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
  • TABLE 283. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
  • TABLE 284. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
  • TABLE 285. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
  • TABLE 286. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY TECHNOLOGY, 2025-2030 (USD MILLION)
  • TABLE 287. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
  • TABLE 288. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
  • TABLE 289. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
  • TABLE 290. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
  • TABLE 291. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2018-2024 (USD MILLION)
  • TABLE 292. RUSSIA ARTIFICIAL INTELLIGENCE IN AVIATION MARKET SIZE, BY END USE, 2025-2030 (USD MILLION)
  • TABLE 293. RUSSIA ARTIFICIAL INTEL