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市场调查报告书
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1806626

2025 年至 2030 年全球航空人工智慧市场预测（按组件、技术、应用、部署模式、最终用途和组织规模划分）

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个工作天内

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预计2024年航空业人工智慧市场价值将达15.2亿美元，2025年将成长至17.5亿美元，复合年增长率为15.24%，到2030年将达到35.7亿美元。

主要市场统计数据
基准年2024年 15.2亿美元
预计2025年 17.5亿美元
预测年份 2030 35.7亿美元
复合年增长率（%） 15.24%

探索人工智慧的兴起，它透过前所未有的营运效率和创新塑造航空业的未来

航空业正处于人工智慧驱动的变革时代的开端，开启了营运效率、安全和乘客体验的全新典范。随着航空公司、机场和空中导航服务提供者努力满足日益增长的需求，人工智慧技术已成为实现关键流程自动化、增强人类决策能力和优化资源配置的重要工具。利用先进的数据分析、电脑视觉和机器学习，相关人员可以预测维护需求、简化航班运营并增强即时空中交通管制，最终为整个价值链提供灵活、经济高效的解决方案。

确定由人工智慧创新推动的变革性模式转移，这些转变将彻底改变航空安全、效率和卓越运营

随着人工智慧重塑传统营运框架，航空业正经历重大转型。近年来，安全管理系统已从人工报告转向人工智慧驱动的事件检测，利用电脑视觉和预测分析在异常情况恶化之前识别它们。此外，航空公司正在采用深度学习演算法即时优化航线，将天气模式、空域拥塞和燃油消费量纳入考量，显着降低营运成本并排放。

分析2025年美国关税对航空业人工智慧整合与供应链动态的累积影响

美国将于2025年对关键航空零件征收新关税，此举将波及全球供应链，影响人工智慧部署的筹资策略和成本结构。对处理器、感测器和储存设备征收关税导致硬体成本上升，迫使相关人员探索其他采购模式，并深化与国内供应商的关係。因此，企业正在加大力度，实现供应商组合多元化，并加速近岸外包，以降低跨境贸易不确定性带来的风险。

市场区隔的主要亮点，按组件、按技术、按应用、按部署模式、按最终用途和按组织观点

全面了解市场区隔有助于明确如何客製化 AI 解决方案以满足多样化的航空需求。基于组件分析，生态系统涵盖硬体、服务和软体。硬体解决方案包括驱动即时分析的高效能处理器、用于精确资料撷取的先进感测器以及专为大规模资料保存设计的储存设备。服务范围从为 AI蓝图提供建议的策略咨询，到确保平台可靠性的支援和维护，再到整合不同技术的系统整合计划。同时，软体平台范围从用于跑道监控的电脑视觉应用程序，到增强需求预测的机器学习环境，再到促进直觉乘客互动的自然语言处理工具。

了解推动美洲、欧洲、中东、非洲和亚太地区航空市场成长和创新的区域动态

区域动态在塑造整个航空业的人工智慧投资方面发挥关键作用，反映了监管环境、基础设施成熟度和战略重点的差异。在美洲，强大的数位基础设施和先进的政策框架正在加速预测性维护解决方案和人工智慧主导的空中交通管理系统的采用。北美的航空公司和机场正在与领先的技术供应商合作，试行自动巡检无人机和智慧终端服务，并正在培育一个融合学术界、新兴企业和成熟航太公司的创新生态系统。

推动航空生态系统人工智慧进步和策略伙伴关係的主要企业简介

领先的航空公司正将自己定位为将人工智慧融入核心营运的先锋，建立策略联盟并投入研发以保持竞争优势。产业主要企业正与技术供应商携手合作，共同开发客製化的人工智慧平台，以应对独特的营运挑战，从飞机外部的自主检测解决方案到空中交通管制员的即时决策支援仪錶板。同时，专注于预测物流和语音乘客助理等利基应用的创新新兴企业正在与航空公司和机场合作，以加速其产品上市并扩大其成熟解决方案的规模。

为行业领导者提供可行的策略建议，以加速人工智慧的采用并优化航空运营

为了充分发挥人工智慧的潜力，产业领导者应采取多管齐下的策略，将技术创新与组织准备结合。首先，投资人才发展专案将培养应用人工智慧所需的专业技能，并使资料科学家、工程师和营运团队能够有效地协同工作。同时，建立专门的卓越中心可以集中最佳实践，简化先导计画，并促进整个企业的知识转移。

了解我们强大的调查方法，结合定性和定量技术，确保对航空市场的人工智慧进行强大的分析。

我们的调查方法严谨，结合定性和定量分析，旨在为航空业提供切实可行的人工智慧情报。研究流程首先深入访谈航空公司、机场、原始设备製造商 (OEM) 和服务整合商的高阶主管、技术专家和营运经理，以获得关于应用驱动因素、挑战和策略重点的第一手资料。除了这些初步访谈之外，我们还广泛查阅了技术白皮书、行业标准文件和会议纪要，以检验新兴使用案例和技术蓝图。

结论强调了人工智慧整合对于推动未来航空营运成长的策略要务

摘要，人工智慧将智慧融入生态系统的各个方面，从跑道监控和交通管理到维护调度和乘客处理，从而重新定义航空运作。先进硬体、专业软体和专家服务的整合，为创新创造了肥沃的环境，使相关人员能够超越传统的成本削减措施，转向主动的数据主导策略。

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章 市场概述

第五章市场动态

  • 航空公司与Start-Ups公司合作开发人工智慧驱动的永续性监测和报告平台
  • 整合电脑视觉和人工智慧，实现地面处理和行李处理工作流程自动化
  • 强化学习在不同环境条件下自适应飞行控制的应用
  • 探索人工智慧驱动的自主货运无人机，以实现最后一英里的物流和配送优化
  • 航空公司实施人工智慧驱动的乘客体验个人化和动态定价策略
  • 利用深度学习演算法实现航空领域的高阶天气预报和湍流预测
  • 部署基于人工智慧的网路安全通讯协定来保护关键的航空电子设备和通讯网络
  • 开发利用机器学习的自动驾驶辅助系统以提高情境察觉
  • 透过引入人工智慧即时空中交通管理解决方案来提高飞行效率
  • 整合人工智慧驱动的预测性维护系统，最大限度地减少飞机意外停机时间

第六章 市场洞察

  • 波特五力分析
  • PESTEL分析

第七章 2025年美国关税的累积影响

8. 航空人工智慧市场（按部件）

  • 硬体
    • 处理器
    • 感应器
    • 储存装置
  • 服务
    • 咨询
    • 支援和维护
    • 系统整合
  • 软体
    • 电脑视觉软体
    • 机器学习平台
    • 自然语言处理软体

9. 航空人工智慧市场（按技术）

  • 电脑视觉
  • 深度学习
  • 机器学习
  • 自然语言处理
  • 预测分析

第 10 章：航空人工智慧市场（按应用）

  • 空中交通管制
  • 货运和物流
  • 优化航班运营
  • 乘客服务
  • 预测性维护
  • 安全管理

第 11 章：航空业人工智慧市场（按部署模式）

  • 云
  • 本地

12. 航空人工智慧市场（依最终用途）

  • 空中导航服务供应商
  • 航空
  • 飞机场
  • MRO供应商
  • OEM

第 13 章：航空业人工智慧市场（按组织规模）

  • 大公司
  • 小型企业

第 14 章：美洲航空人工智慧市场

  • 美国
  • 加拿大
  • 墨西哥
  • 巴西
  • 阿根廷

15. 欧洲、中东和非洲航空人工智慧市场

  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 义大利
  • 西班牙
  • 阿拉伯聯合大公国
  • 沙乌地阿拉伯
  • 南非
  • 丹麦
  • 荷兰
  • 卡达
  • 芬兰
  • 瑞典
  • 奈及利亚
  • 埃及
  • 土耳其
  • 以色列
  • 挪威
  • 波兰
  • 瑞士

第 16 章：亚太航空人工智慧市场

  • 中国
  • 印度
  • 日本
  • 澳洲
  • 韩国
  • 印尼
  • 泰国
  • 菲律宾
  • 马来西亚
  • 新加坡
  • 越南
  • 台湾

第十七章竞争格局

  • 2024年市场占有率分析
  • 2024年FPNV定位矩阵
  • 竞争分析
    • 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

第十八章 研究人工智慧

第十九章 研究统计

第二十章 研究联络人

第21章 研究报导

第22章 附录

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