市場調査レポート
商品コード
1452784
民間航空機乗員管理システムの世界市場規模、シェア、成長分析、ソリューション別、用途別 - 産業予測(2024~2031年)Global Commercial Aviation Crew Management Systems Market Size, Share, Growth Analysis, By Solution(Hardware, Software), By Application(Planning, Training) - Industry Forecast 2024-2031 |
民間航空機乗員管理システムの世界市場規模、シェア、成長分析、ソリューション別、用途別 - 産業予測(2024~2031年) |
出版日: 2024年03月08日
発行: SkyQuest
ページ情報: 英文 202 Pages
納期: 3~5営業日
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民間航空機乗員管理システムの世界市場規模は、2022年に27億米ドルと評価され、2023年の29億3,000万米ドルから2031年には55億8,000万米ドルに成長し、予測期間中(2024年~2031年)のCAGRは8.4%で成長する見通しです。
航空会社は、乗務員のリソースを効果的に管理し最大化するために、世界の乗員管理システム市場に大きく依存しています。これらのシステムは、乗務員のスケジューリング、訓練、疲労、その他の運航業務を管理することを目的としたさまざまなソフトウェア・プログラムで構成されています。乗員管理手順の近代化と合理化を目指す航空業界の取り組みを支える多くの要因が、市場の拡大を後押ししています。効率的な乗員管理の必要性は、航空需要の増加と新規航空会社の台頭による航空セクターの急速な拡大により高まっています。これらの技術を活用することで、航空会社はバランスの取れたコンプライアンスを遵守した乗務員のスケジュールを設計することができ、運航効率を保証し、乗務員の勤務時間や休憩間隔に関する厳しい規制基準を満たすことができます。さらに、乗員管理は、機械学習や人工知能のような最先端技術を取り入れることによって革命を起こしつつあります。過去のデータ、現在の天候、その他の適切な変数を使用して人員配置を最適化することで、これらのツールは予測分析を可能にします。このような進歩により、意思決定が改善され、遅延が削減され、障害が軽減されます。ワークライフバランスと疲労は、乗員管理システムが考慮する乗務員のウェルビーイングの2つの側面です。これらのソリューションは、疲労リスク評価を自動化し、乗務員が自分の希望や可用性を伝えられ、仕事の満足度と幸福度の向上に役立ちます。
Global Commercial Aviation Crew Management Systems Market size was valued at USD 2.7 billion in 2022 and is poised to grow from USD 2.93 billion in 2023 to USD 5.58 billion by 2031, growing at a CAGR of 8.4% during the forecast period (2024-2031).
Airlines rely heavily on the global crew management systems market to effectively manage and maximize their crew resources. These systems consist of a variety of software programs intended to manage crew scheduling, training, fatigue, and other operational duties. A number of factors that together support the aviation industry's efforts to modernize and streamline crew management procedures are driving the market's expansion. The necessity for efficient crew management has increased due to the aviation sector's rapid expansion, which is being driven by rising air travel demand and the rise of new carriers. Utilizing these technologies, airlines are able to design crew schedules that are both balanced and compliant, guaranteeing operational effectiveness and meeting the strict regulatory criteria regarding crew duty hours and rest intervals. Additionally, crew management is being revolutionized by the incorporation of cutting-edge technology like machine learning and artificial intelligence. By using historical data, current weather, and other pertinent variables to optimize staff assignments, these tools allow for predictive analysis. These kinds of advances improve decision-making, cut down on delays, and lessen disturbances. Work-life balance and weariness are two more aspects of crew member wellbeing that crew management systems take into account. These solutions help to improve job satisfaction and well-being by automating fatigue risk assessment and allowing crew members to communicate their preferences and availability.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Commercial Aviation Crew Management Systems Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Commercial Aviation Crew Management Systems Market Segmental Analysis
Based on Solution, Application, and Region, the global market for crew management systems for commercial aviation is divided into segments. The market is divided into four segments based on solutions: hardware, software, on-cloud, server-based, and services. The market is divided into Planning, Training, Tracking, Crew Operation, and others, based on application. The market is divided into Latin America, Middle East and Africa, Asia Pacific, North America, and Europe.
Drivers of the Global Commercial Aviation Crew Management Systems Market
The market for commercial aviation crew management systems is significantly influenced by the rising demand for air travel worldwide. To manage intricate scheduling, worker rotations, and compliance with aviation laws, airlines require effective crew management solutions. Modern technologies that may maximize crew assignments, reduce disruptions, and guarantee appropriate staff rest and duty time constraints are necessary due to the increasing number of passengers and flights.
Restraints in the Global Commercial Aviation Crew Management Systems Market
There are substantial up-front expenses associated with software development, customisation, integration, and training when implementing complete crew management systems. It might be difficult for smaller, more affordable airlines to invest in these systems, which could restrict their uptake. Cost factors may impede market expansion, especially for low-cost and regional carriers.
Market Trends of the Global Commercial Aviation Crew Management Systems Market
Automation and artificial intelligence (AI) are being used more and more in the airline sector to streamline crew management procedures. Artificial intelligence (AI) algorithms are being integrated into crew management systems to better manage rosters, schedule, and forecast crew requirements. Airlines can plan flights more efficiently and assign staff and resources more efficiently when automation is involved. This trend reduces workload and minimizes scheduling conflicts, which not only increases staff happiness but also guarantees regulatory compliance and improves operational efficiency.