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市場調査レポート
商品コード
1743343
自動国境管理の市場規模、シェア、成長分析、コンポーネント別、ソリューションタイプ別、用途別、エンドユーザー別、地域別-2025年~2032年産業予測Automated Border Control Market Size, Share, and Growth Analysis, By Component (Hardware, Software), By Solution Type (ABC E-gates, ABC Kiosks), By Application, By End-User, By Region - Industry Forecast 2025-2032 |
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自動国境管理の市場規模、シェア、成長分析、コンポーネント別、ソリューションタイプ別、用途別、エンドユーザー別、地域別-2025年~2032年産業予測 |
出版日: 2025年06月04日
発行: SkyQuest
ページ情報: 英文 194 Pages
納期: 3~5営業日
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自動国境管理の世界市場規模は2023年に21億米ドルと評価され、2024年の23億8,000万米ドルから2032年には64億6,000万米ドルに成長し、予測期間(2025年~2032年)のCAGRは13.3%で成長する見通しです。
世界の自動国境管理市場は、安全で効率的な非接触型国境通過ソリューションの需要に牽引され、大きな成長を遂げています。国際旅行の急増、出入国セキュリティ対策の強化、旅客体験の向上がこの動向の主な要因です。各国政府は、国境業務を合理化するために、AIを活用した本人確認と並んで、顔認証、指紋スキャン、虹彩認証などの生体認証技術の採用を増やしています。この技術革新により、待ち時間が短縮され、旅行者の手続きが簡素化されます。自動化されたシステムへの移行は、従来の手続きを最小限に抑え、旅客がパスポートを素早くスキャンし、必要なチェックを数分で完了できるようにします。さらに、空港の利用者数の増加、違法な国境活動に対する懸念の高まり、効率的なセキュリティ・プロセスの必要性が、市場の成長をさらに後押ししています。
Global Automated Border Control Market size was valued at USD 2.1 billion in 2023 and is poised to grow from USD 2.38 billion in 2024 to USD 6.46 billion by 2032, growing at a CAGR of 13.3% during the forecast period (2025-2032).
The global automated border control market is experiencing significant growth driven by the demand for secure, efficient, and contactless border crossing solutions. The surge in international travel, enhanced immigration security measures, and the emphasis on improving passenger experiences are key contributors to this trend. Governments are increasingly adopting biometric technologies, including facial recognition, fingerprint scans, and iris recognition, alongside AI-driven identity verification to streamline border operations. This innovation helps reduce wait times and simplifies the processing for travelers. The transition to automated systems minimizes traditional procedures, enabling passengers to quickly scan their passports and complete necessary checks in minutes. Additionally, rising airport traffic, heightened concerns over illegal border activities, and the need for efficient security processes further propel market growth.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Automated Border Control 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 Automated Border Control Market Segments Analysis
Global Automated Border Control Market is segmented by Component, Solution Type, Application, End-User and region. Based on Component, the market is segmented into Hardware, Software and Services. Based on Solution Type, the market is segmented into ABC E-gates and ABC Kiosks. Based on Application, the market is segmented into Airport, Land Port and Seaport. Based on End-User, the market is segmented into Government and Private Sector. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Automated Border Control Market
The increasing volume of international travel for both business and leisure purposes has put significant pressure on border management agencies to manage and process large numbers of travelers efficiently. Automated Border Control (ABC) systems play a crucial role in this by facilitating rapid identity verification through the use of biometric eGates and kiosks, which help minimize long lines and wait times. Countries such as the UAE and Singapore have implemented facial recognition-based ABC systems at their major airports, significantly enhancing the efficiency of entry and exit processes and improving overall traveler experience.
Restraints in the Global Automated Border Control Market
The Global Automated Border Control market faces significant restraints, primarily due to the substantial capital investments required for advanced biometric technologies, cameras, sensors, and AI software. In addition to the initial hardware costs, countries must also enhance their backend systems, invest in staff training, and uphold security protocols, creating a financial burden that particularly affects developing nations. This high upfront expenditure serves as a considerable obstacle to the adoption of automated systems. Furthermore, the technical challenges associated with integrating new technologies with existing immigration databases and international travel data can be resource-intensive and complex, leading to delays in deployment.
Market Trends of the Global Automated Border Control Market
The Global Automated Border Control (ABC) market is witnessing a significant trend towards the integration of AI-powered risk assessment and decision-making capabilities. This innovation extends beyond traditional identity verification, as ABC systems increasingly utilize real-time AI analytics for evaluating traveler behavior, detecting forged documents, and identifying high-risk profiles. Countries like Germany are implementing AI algorithms that generate risk scores based on historical immigration data, allowing for more efficient border management by minimizing delays for low-risk travelers while enhancing the effectiveness of targeted enforcement measures. As these technologies become more sophisticated, they are set to redefine border security, fostering a more seamless and secure travel experience globally.