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航空業界における人工知能（AI）の世界市場

Artificial Intelligence (AI) in Aviation

出版日
ページ情報
英文 372 Pages
納期
即日から翌営業日
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=148.47円
航空業界における人工知能（AI）の世界市場
出版日: 2025年07月11日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 372 Pages
納期: 即日から翌営業日
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概要

航空業界における人工知能（AI）の世界市場、2030年までに324億米ドルに到達へ

2024年に46億米ドルと推定される航空業界における人工知能（AI）の世界市場は、2024年から2030年にかけてCAGR 38.6%で成長し、2030年には324億米ドルに達すると予測されます。本レポートで分析しているセグメントの1つであるソフトウェアは、CAGR 36.5%を記録し、分析期間終了時には122億米ドルに達すると予測されています。ハードウェア分野の成長率は、分析期間のCAGRで38.8％と推定されます。

米国市場は14億米ドルと推定、中国はCAGR 35.9％で成長予測

米国の航空業界における人工知能市場は、2024年に14億米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに44億米ドルの市場規模に達すると予測され、分析期間2024-2030年のCAGRは35.9%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ34.1%と32.2%と予測されています。欧州では、ドイツがCAGR 25.6%で成長すると予測されています。

世界の航空業界における人工知能（AI）市場- 主要動向と促進要因まとめ

AIは航空業務をどのように変革するか？

人工知能は航空業界に変革をもたらし、航空会社や空港のあらゆるレベルの機能において、これまでにない効率性、安全性、運用の回復力を導入しています。AIを航空交通管理、メンテナンス、燃料最適化、ロジスティクスに統合することで、航空業界はコストを削減し精度を向上させる合理化されたプロセスを実現しています。例えば、AIアルゴリズムは、航空機の軌道を予測し、潜在的な衝突を特定し、フライトスケジュールをリアルタイムで最適化することで航空管制官をサポートし、遅延を軽減して安全性を高めるのに役立っています。航空会社はまた、AIを活用した予知保全モデルを使用して航空機のセンサーからのデータを分析し、潜在的な機械的問題が高額な修理や飛行中断に拡大する前に検出しています。メンテナンスの必要性を正確に予測することで、AIを活用したシステムにより、航空会社はプロアクティブに修理スケジュールを立てることができ、ダウンタイムを最小限に抑え、より多くの航空機の運航を維持することができます。燃料管理では、AIがリアルタイムのデータを活用して最適な飛行ルート、高度調整、速度制御を分析し、排出を最小限に抑えながら燃料消費量と関連コストの削減を目指します。これらのデータ駆動型アプリケーションは、人的ミスを減らし、リソースを最適化し、運航効率の新たな基準を設定する、シームレスで弾力性のある航空ネットワークを構築します。これらの分野にわたるAIの統合は、デジタルに最適化された航空業界へのシフトを反映しており、そこではスマートオートメーションが日常業務の基礎的要素となります。

AIは航空業界においてどのように旅客体験を向上させているのか？

AIは、今日のデジタルに接続された旅行者のニーズに応え、搭乗前から機内でのやり取りまで、パーソナライズされた効率的でシームレスなサービスを提供することで、旅客体験に革命をもたらしています。空港では、AIを活用した顔認証や生体認証システムにより、乗客はセキュリティチェックや搭乗手続きを迅速に行うことができ、待ち時間を大幅に短縮し、よりスムーズで便利な旅行体験を提供しています。航空会社では、AIを搭載したバーチャルアシスタントやチャットボットの採用が進んでおり、24時間365日体制で質問に答えたり、予約をサポートしたり、フライト状況やゲートの変更、遅延に関する最新情報をリアルタイムで提供したりしています。これらのバーチャルアシスタントは乗客のニーズに適応し、航空会社が迅速なオンデマンドサービスで顧客満足度を維持するのに役立っています。機内では、AIを活用したパーソナライズド・エンターテインメント・システムが乗客の視聴履歴から学習し、個人の好みに合わせた映画、番組、音楽を推薦することで、カスタマイズされた旅行体験を実現します。さらに、AIシステムは予測分析を活用し、乗客の過去の行動に基づいて、カスタマイズされた旅程やアメニティ（カスタマイズされた食事オプションや座席の好みなど）を提供します。また、スケジューリングやリソース管理にAIを応用することで、遅延を最小限に抑え、旅客の満足度を維持するために不可欠な到着・出発予測の精度を高めることができます。このようなAIの進歩により、現代の旅行者の高い期待に応える、オーダーメイドの効率的で手間のかからない旅が実現し、空の旅の体験が大きく変わりつつあります。

航空機の安全性向上においてAIが果たす役割とは？

AIは航空安全の強化において重要な役割を果たしており、状況認識を向上させ、リスクを予測し、重大な状況での迅速な意思決定をサポートするツールやソリューションを提供しています。AIを搭載した監視システムは、膨大な量のリアルタイムの飛行データを分析し、機械的な故障や環境上の危険など、潜在的な問題を示す可能性のある異常を追跡することで、問題が深刻化する前に事前対応を可能にします。機内では、AIを活用した安全管理システムが、気象予測、航空交通、フライトダイナミクスのデータに基づく予測アラートをパイロットに提供し、複雑なシナリオをナビゲートしてリスクを軽減するのに役立つ洞察を提供します。AIアルゴリズムが可能にする予知保全は、機械的な問題が飛行中ではなく、定期的なメンテナンス中に特定され解決されることを保証し、空中故障の可能性を低減します。AIはまた、機械学習を活用して複雑な実世界のシナリオを再現するシミュレーション・ベースのプログラムを使ってパイロット訓練を強化し、パイロットが困難な状況下で意思決定スキルを身につけるのを助けています。自律飛行の領域では、AIはパイロットを支援したり、半自動的に動作したりする技術の開発をサポートしており、緊急時に人間が直接介入する必要性を減らす可能性があります。こうした多面的な応用を通じて、AIは日々の航空安全を向上させるだけでなく、世界の業界アナリストが航空旅行における安全性と人間の監視をどのように認識しているかを一変させる、次世代の自律型機能への道も開いています。

航空AI市場の成長の原動力は？

航空AI市場の成長はいくつかの要因によって牽引されており、それぞれが技術の進歩、業務効率の推進、旅客の期待の高まりを反映しています。主な促進要因の1つは、業務効率の向上に対する業界全体の需要であり、航空会社が反復作業を自動化し、スケジューリングを合理化し、リソースを効率的に管理するAIソリューションを統合する動機となっています。例えば予知保全は、AIを使って機械的な故障を事前に予測することで、ダウンタイムを減らし、予期せぬフライト遅延を回避することを目指す航空会社の優先事項となっています。さらに、燃料の最適化と環境への責任に対するニーズの高まりが、AIの採用を加速させています。AIを搭載したアルゴリズムは、航空会社が最も燃料効率の高いルートを見つけ、動的に高度を調整し、排出量を削減するのを助け、消費者と規制当局の両方にとってますます重要になっている持続可能性の目標に合致します。旅行者は現在、チェックイン、搭乗、機内サービスのプロセスを迅速化するバーチャルアシスタントや生体認証のようなAI駆動技術を求めています。最後に、AIを活用した安全システムや自律型航空技術は、リアルタイムの意思決定を強化し、ヒューマンエラーを減らすことが期待されるため、勢いを増しています。これらの要素（運用、環境、消費者主導）が組み合わさることで、航空業界の継続的な進化におけるAIの重要な役割が浮き彫りになり、近代的で効率的、かつ顧客重視の航空業界の複雑な要求に対応する極めて重要な技術として位置づけられます。

セグメント

コンポーネント（ソフトウェア、ハードウェア、サービス）、テクノロジー（機械学習、自然言語処理、コンテキスト認識コンピューティング、コンピュータビジョン）、アプリケーション（バーチャルアシスタント、スマートメンテナンス、製造、トレーニング、その他のアプリケーション）

調査対象企業の例

  • Airbus
  • Amazon
  • Boeing
  • Cognitive Code
  • Garmin
  • GE
  • IBM
  • Innovative Binaries
  • Intel
  • IRIS Automation
  • Kittyhawk
  • Lockheed Martin
  • Micron
  • Microsoft
  • Neurala
  • Northrop Grumman
  • Nvidia
  • Paladin：Paradigm Knowledge Solutions
  • Pilot AI Labs
  • Samsung Electronics
  • Searidge Technologies
  • Thales
  • Xilinx

AIインテグレーション

Global Industry Analystsは、有効な専門家コンテンツとAIツールによって、市場と競合情報を変革しています。

Global Industry Analystsは、LLMや業界固有のSLMを照会する一般的な規範に従う代わりに、ビデオ記録、ブログ、検索エンジン調査、膨大な量の企業、製品/サービス、市場データなど、世界中の専門家から収集したコンテンツのリポジトリを構築しました。

関税影響係数

Global Industry Analystsは、本社の国、製造拠点、輸出入（完成品とOEM）に基づく企業の競争力の変化を予測しています。この複雑で多面的な市場力学は、売上原価（COGS）の増加、収益性の低下、サプライチェーンの再構築など、ミクロおよびマクロの市場力学の中でも特に競合他社に影響を与える見込みです。

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
Product Code: MCP21173

Global Artificial Intelligence (AI) in Aviation Market to Reach US$32.4 Billion by 2030

The global market for Artificial Intelligence (AI) in Aviation estimated at US$4.6 Billion in the year 2024, is expected to reach US$32.4 Billion by 2030, growing at a CAGR of 38.6% over the analysis period 2024-2030. Software, one of the segments analyzed in the report, is expected to record a 36.5% CAGR and reach US$12.2 Billion by the end of the analysis period. Growth in the Hardware segment is estimated at 38.8% CAGR over the analysis period.

The U.S. Market is Estimated at US$1.4 Billion While China is Forecast to Grow at 35.9% CAGR

The Artificial Intelligence (AI) in Aviation market in the U.S. is estimated at US$1.4 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$4.4 Billion by the year 2030 trailing a CAGR of 35.9% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 34.1% and 32.2% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 25.6% CAGR.

Global Artificial Intelligence (AI) in Aviation Market - Key Trends and Drivers Summarized

How Is AI Transforming Aviation Operations?

Artificial intelligence is transforming aviation, introducing unprecedented efficiency, safety, and operational resilience across all levels of airline and airport functions. By integrating AI into air traffic management, maintenance, fuel optimization, and logistics, the industry is achieving streamlined processes that reduce costs and improve accuracy. For instance, AI algorithms support air traffic controllers by predicting aircraft trajectories, identifying potential conflicts, and optimizing flight schedules in real-time, helping to mitigate delays and enhance safety. Airlines are also using predictive maintenance models powered by AI to analyze data from aircraft sensors, detecting potential mechanical issues before they escalate into costly repairs or flight disruptions. By accurately predicting maintenance needs, AI-driven systems enable airlines to schedule repairs proactively, thus minimizing downtime and keeping more aircraft operational. In fuel management, AI leverages real-time data to analyze optimal flight routes, altitude adjustments, and speed control, all aimed at reducing fuel consumption and associated costs while minimizing emissions. These data-driven applications create a seamless, resilient aviation network that reduces human error, optimizes resources, and sets new standards for operational efficiency. AI’s integration across these areas reflects a shift toward a digitally optimized aviation industry, where smart automation becomes a foundational element of daily operations.

How Is AI Improving Passenger Experience in Aviation?

AI is revolutionizing the passenger experience by offering personalized, efficient, and seamless services from pre-boarding through to in-flight interactions, catering to the needs of today’s digitally connected travelers. In airports, AI-driven facial recognition and biometric systems allow passengers to move quickly through security and boarding, drastically reducing wait times and providing a smoother, more convenient travel experience. Airlines are increasingly employing AI-powered virtual assistants and chatbots that are available 24/7 to answer questions, assist with bookings, and provide real-time updates on flight status, gate changes, and delays. These virtual assistants adapt to passenger needs, helping airlines maintain customer satisfaction with responsive, on-demand service. In-flight, AI-driven personalized entertainment systems learn from passengers' viewing histories to recommend movies, shows, and music tailored to individual preferences, creating a customized travel experience. Furthermore, AI systems leverage predictive analytics to offer personalized travel itineraries and amenities, like customized meal options and seat preferences, based on historical passenger behavior. AI’s application in scheduling and resource management also minimizes delays and enhances the accuracy of arrival and departure predictions, which is essential for maintaining passenger satisfaction. Together, these advancements in AI are transforming the air travel experience by creating tailored, efficient, and hassle-free journeys that meet the high expectations of modern travelers.

What Role Does AI Play in Enhancing Aviation Safety?

AI is playing a critical role in enhancing aviation safety, offering tools and solutions that improve situational awareness, anticipate risks, and support quick decision-making in high-stakes situations. AI-powered monitoring systems analyze vast amounts of real-time flight data, tracking anomalies that may indicate potential issues, such as mechanical faults or environmental hazards, enabling proactive responses before problems escalate. In-flight, AI-driven safety management systems provide pilots with predictive alerts based on data from weather forecasts, air traffic, and flight dynamics, offering insights that help them navigate complex scenarios and mitigate risks. Predictive maintenance, enabled by AI algorithms, ensures that mechanical issues are identified and resolved during scheduled maintenance rather than mid-flight, reducing the likelihood of in-air malfunctions. AI is also enhancing pilot training through the use of simulation-based programs that leverage machine learning to recreate complex, real-world scenarios, helping pilots build decision-making skills under challenging conditions. In the realm of autonomous aviation, AI is supporting the development of technologies that assist pilots or operate semi-autonomously, potentially reducing the need for direct human intervention in emergencies. Through these multifaceted applications, AI is not only improving day-to-day aviation safety but also paving the way for next-generation autonomous capabilities that will transform how we perceive safety and human oversight in air travel.

What Is Driving the Growth of the AI in Aviation Market?

The growth in the AI in aviation market is driven by several factors, each reflecting advancements in technology, the push for operational efficiency, and rising passenger expectations. One of the primary drivers is the industry-wide demand for enhanced operational efficiency, motivating airlines to integrate AI solutions that automate repetitive tasks, streamline scheduling, and manage resources effectively. Predictive maintenance, for example, has become a priority as airlines aim to reduce downtime and avoid unexpected flight delays by using AI to anticipate mechanical failures before they occur. Additionally, the increasing need for fuel optimization and environmental responsibility has accelerated AI adoption; AI-powered algorithms help airlines find the most fuel-efficient routes, adjust altitude dynamically, and reduce emissions, aligning with sustainability goals that are increasingly important to both consumers and regulators. The growing expectation for personalized and digitally enhanced passenger experiences is another key driver, as travelers now look for AI-driven technologies, like virtual assistants and biometric identification, that expedite check-in, boarding, and in-flight service processes. Finally, AI-driven safety systems and autonomous aviation technologies are gaining momentum, as these innovations promise to enhance real-time decision-making and reduce human error. The combination of these factors-operational, environmental, and consumer-driven-highlights the vital role of AI in aviation’s ongoing evolution, positioning it as a pivotal technology that addresses the complex demands of a modern, efficient, and customer-focused aviation industry.

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence (AI) in Aviation market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Software, Hardware, Services); Technology (Machine Learning, Natural Language Processing, Context Awareness Computing, Computer Vision); Application (Virtual Assistants, Smart Maintenance, Manufacturing, Training, Other Applications)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 251 Featured) -

  • Airbus
  • Amazon
  • Boeing
  • Cognitive Code
  • Garmin
  • GE
  • IBM
  • Innovative Binaries
  • Intel
  • IRIS Automation
  • Kittyhawk
  • Lockheed Martin
  • Micron
  • Microsoft
  • Neurala
  • Northrop Grumman
  • Nvidia
  • Paladin: Paradigm Knowledge Solutions
  • Pilot AI Labs
  • Samsung Electronics
  • Searidge Technologies
  • Thales
  • Xilinx

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • Tariff Impact on Global Supply Chain Patterns
    • Global Economic Update
    • Artificial Intelligence (AI) in Aviation - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Rising Demand for Automation and Efficiency Propels Growth of AI in Aviation
    • Increasing Focus on Enhancing Passenger Experience Drives Adoption of AI Solutions in Aviation
    • Here's How AI-Powered Predictive Maintenance Reduces Downtime and Boosts Operational Efficiency
    • Advancements in Machine Learning and Big Data Analytics Enhance Decision-Making in Aviation
    • Growing Use of AI in Flight Operations and Route Optimization Spurs Demand for AI in Aviation
    • Here's How AI-Driven Customer Service Solutions Improve Passenger Engagement and Satisfaction
    • Expansion of Smart Airports Drives the Integration of AI for Streamlined Airport Operations
    • Focus on Reducing Fuel Consumption and Carbon Emissions Expands Use of AI in Sustainable Aviation
    • Growing Application of Computer Vision and Biometrics Boosts AI in Security and Boarding Processes
    • Here's How Real-Time Data Analytics in AI Enhances Air Traffic Management
    • Increasing Investment in Autonomous Aircraft and UAV Technologies Expands Scope of AI in Aviation
    • Advances in Natural Language Processing Fuel Innovation in AI for Pilot and Crew Assistance
    • Growing Use of AI for Predicting Passenger Demand and Revenue Management Optimizes Airline Operations
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 2: World 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 3: World Recent Past, Current & Future Analysis for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 4: World 6-Year Perspective for Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 5: World Recent Past, Current & Future Analysis for Hardware by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 6: World 6-Year Perspective for Hardware by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 7: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 8: World 6-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 9: World Recent Past, Current & Future Analysis for Manufacturing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 10: World 6-Year Perspective for Manufacturing by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 11: World Recent Past, Current & Future Analysis for Training by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 12: World 6-Year Perspective for Training by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 13: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 14: World 6-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 15: World Recent Past, Current & Future Analysis for Virtual Assistants by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 16: World 6-Year Perspective for Virtual Assistants by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 17: World Recent Past, Current & Future Analysis for Smart Maintenance by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 18: World 6-Year Perspective for Smart Maintenance by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 19: World Recent Past, Current & Future Analysis for Machine Learning by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 20: World 6-Year Perspective for Machine Learning by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 21: World Recent Past, Current & Future Analysis for Natural Language Processing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 22: World 6-Year Perspective for Natural Language Processing by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 23: World Recent Past, Current & Future Analysis for Context Awareness Computing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 24: World 6-Year Perspective for Context Awareness Computing by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 25: World Recent Past, Current & Future Analysis for Computer Vision by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 26: World 6-Year Perspective for Computer Vision by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 27: World Artificial Intelligence (AI) in Aviation Market Analysis of Annual Sales in US$ Thousand for Years 2015 through 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Artificial Intelligence (AI) in Aviation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 28: USA Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Component - Software, Hardware and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 29: USA 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Component - Percentage Breakdown of Value Sales for Software, Hardware and Services for the Years 2025 & 2030
    • TABLE 30: USA Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Application - Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 31: USA 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Application - Percentage Breakdown of Value Sales for Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance for the Years 2025 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Technology - Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision for the Years 2025 & 2030
  • CANADA
    • TABLE 34: Canada Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Component - Software, Hardware and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 35: Canada 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Component - Percentage Breakdown of Value Sales for Software, Hardware and Services for the Years 2025 & 2030
    • TABLE 36: Canada Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Application - Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 37: Canada 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Application - Percentage Breakdown of Value Sales for Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance for the Years 2025 & 2030
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Technology - Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision for the Years 2025 & 2030
  • JAPAN
    • Artificial Intelligence (AI) in Aviation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 40: Japan Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Component - Software, Hardware and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Japan 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Component - Percentage Breakdown of Value Sales for Software, Hardware and Services for the Years 2025 & 2030
    • TABLE 42: Japan Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Application - Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Japan 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Application - Percentage Breakdown of Value Sales for Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance for the Years 2025 & 2030
    • TABLE 44: Japan Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Technology - Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Japan 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision for the Years 2025 & 2030
  • CHINA
    • Artificial Intelligence (AI) in Aviation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 46: China Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Component - Software, Hardware and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 47: China 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Component - Percentage Breakdown of Value Sales for Software, Hardware and Services for the Years 2025 & 2030
    • TABLE 48: China Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Application - Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 49: China 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Application - Percentage Breakdown of Value Sales for Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance for the Years 2025 & 2030
    • TABLE 50: China Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Technology - Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 51: China 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision for the Years 2025 & 2030
  • EUROPE
    • Artificial Intelligence (AI) in Aviation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 52: Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 53: Europe 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 54: Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Component - Software, Hardware and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 55: Europe 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Component - Percentage Breakdown of Value Sales for Software, Hardware and Services for the Years 2025 & 2030
    • TABLE 56: Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Application - Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 57: Europe 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Application - Percentage Breakdown of Value Sales for Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance for the Years 2025 & 2030
    • TABLE 58: Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Technology - Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Europe 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision for the Years 2025 & 2030
  • FRANCE
    • Artificial Intelligence (AI) in Aviation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 60: France Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Component - Software, Hardware and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 61: France 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Component - Percentage Breakdown of Value Sales for Software, Hardware and Services for the Years 2025 & 2030
    • TABLE 62: France Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Application - Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 63: France 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Application - Percentage Breakdown of Value Sales for Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance for the Years 2025 & 2030
    • TABLE 64: France Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Technology - Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 65: France 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision for the Years 2025 & 2030
  • GERMANY
    • Artificial Intelligence (AI) in Aviation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 66: Germany Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Component - Software, Hardware and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 67: Germany 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Component - Percentage Breakdown of Value Sales for Software, Hardware and Services for the Years 2025 & 2030
    • TABLE 68: Germany Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Application - Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Germany 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Application - Percentage Breakdown of Value Sales for Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance for the Years 2025 & 2030
    • TABLE 70: Germany Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Technology - Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 71: Germany 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision for the Years 2025 & 2030
  • ITALY
    • TABLE 72: Italy Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Component - Software, Hardware and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 73: Italy 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Component - Percentage Breakdown of Value Sales for Software, Hardware and Services for the Years 2025 & 2030
    • TABLE 74: Italy Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Application - Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 75: Italy 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Application - Percentage Breakdown of Value Sales for Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance for the Years 2025 & 2030
    • TABLE 76: Italy Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Technology - Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 77: Italy 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision for the Years 2025 & 2030
  • UNITED KINGDOM
    • Artificial Intelligence (AI) in Aviation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 78: UK Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Component - Software, Hardware and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 79: UK 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Component - Percentage Breakdown of Value Sales for Software, Hardware and Services for the Years 2025 & 2030
    • TABLE 80: UK Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Application - Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 81: UK 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Application - Percentage Breakdown of Value Sales for Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance for the Years 2025 & 2030
    • TABLE 82: UK Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Technology - Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 83: UK 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 84: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Component - Software, Hardware and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 85: Rest of Europe 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Component - Percentage Breakdown of Value Sales for Software, Hardware and Services for the Years 2025 & 2030
    • TABLE 86: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Application - Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Rest of Europe 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Application - Percentage Breakdown of Value Sales for Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance for the Years 2025 & 2030
    • TABLE 88: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Technology - Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Rest of Europe 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Artificial Intelligence (AI) in Aviation Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 90: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Component - Software, Hardware and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Asia-Pacific 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Component - Percentage Breakdown of Value Sales for Software, Hardware and Services for the Years 2025 & 2030
    • TABLE 92: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Application - Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Asia-Pacific 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Application - Percentage Breakdown of Value Sales for Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance for the Years 2025 & 2030
    • TABLE 94: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Technology - Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 95: Asia-Pacific 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 96: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Component - Software, Hardware and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 97: Rest of World 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Component - Percentage Breakdown of Value Sales for Software, Hardware and Services for the Years 2025 & 2030
    • TABLE 98: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Application - Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 99: Rest of World 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Application - Percentage Breakdown of Value Sales for Manufacturing, Training, Other Applications, Virtual Assistants and Smart Maintenance for the Years 2025 & 2030
    • TABLE 100: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence (AI) in Aviation by Technology - Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 101: Rest of World 6-Year Perspective for Artificial Intelligence (AI) in Aviation by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing, Context Awareness Computing and Computer Vision for the Years 2025 & 2030

IV. COMPETITION