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市場調査レポート
商品コード
1755561
虹彩認証市場規模、シェア、成長分析、コンポーネント別、製品別、用途別、業界別、地域別-2025年~2032年の産業予測Iris Recognition Market Size, Share, and Growth Analysis, By Component (Hardware, Software), By Product (Smartphones, Wearables), By Application, By Vertical, By Region - Industry Forecast 2025-2032 |
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虹彩認証市場規模、シェア、成長分析、コンポーネント別、製品別、用途別、業界別、地域別-2025年~2032年の産業予測 |
出版日: 2025年06月13日
発行: SkyQuest
ページ情報: 英文 193 Pages
納期: 3~5営業日
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虹彩認証の世界市場規模は、2023年に37億米ドルと評価され、2024年の43億5,000万米ドルから2032年には158億米ドルに成長し、予測期間(2025年~2032年)のCAGRは17.5%で成長する見通しです。
虹彩認証市場は、技術の進歩とヘルスケア、航空、金融、政府などの分野における安全な本人確認のニーズの高まりに後押しされ、大きな成長を遂げようとしています。ディープラーニング・アルゴリズムやマルチモーダル生体認証システムなどの2024年の技術革新は、特にコンシューマーグレードのデバイスを使用するモバイル虹彩認証の実世界でのアプリケーションを強化し、アクセシビリティとユーザー採用を後押ししています。特に、NECが虹彩認証と顔認証のハイブリッド・システムを発表したことで、交通量の多い環境における本人確認のスピードが向上しています。しかし、課題も依然として残っており、特にデータ取り扱いに関する規制の分断、特にEUの厳しいGDPRと、より緩やかな米国の規制が対立しています。この緊張は、バイオメトリック・コンプライアンスにおける調和された世界標準の必要性を強調しています。
Global Iris Recognition Market size was valued at USD 3.7 billion in 2023 and is poised to grow from USD 4.35 billion in 2024 to USD 15.8 billion by 2032, growing at a CAGR of 17.5% during the forecast period (2025-2032).
The Iris Recognition market is set for significant growth, fueled by technological advancements and an increasing need for secure identity verification across sectors like healthcare, aviation, finance, and government. Innovations in 2024, such as deep learning algorithms and multimodal biometric systems, have enhanced real-world applications, particularly with mobile iris recognition using consumer-grade devices, boosting accessibility and user adoption. Notably, NEC Corporation's launch of a hybrid iris and facial recognition system is improving identity verification speeds in high-traffic environments. However, challenges persist, particularly regulatory fragmentation regarding data handling, especially with the stringent GDPR in the EU conflicting with more relaxed U.S. regulations. This tension underscores the need for harmonized global standards in biometric compliance.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Iris Recognition 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 Iris Recognition Market Segments Analysis
Global Iris Recognition Market is segmented by Component, Product, Application, Vertical and region. Based on Component, the market is segmented into Hardware and Software. Based on Product, the market is segmented into Smartphones, Wearables, Tablets & Notebooks, Personal Computers/Laptops and Scanners. Based on Application, the market is segmented into Identity Management and Access Control, Time Monitoring and E-Payment. Based on Vertical, the market is segmented into Government, Military & Defense, Healthcare, Banking & Finance, Consumer Electronics, Travel & Immigration, Automotive and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Iris Recognition Market
As cybersecurity threats and data breaches continue to rise, the Global Iris Recognition market is gaining momentum, driven by the demand for a secure and reliable identity verification method. Sectors such as banking, healthcare, and defense are increasingly integrating iris recognition systems to protect sensitive information, maintain compliance with regulations, and mitigate fraud risks. The appeal of iris recognition lies in its non-invasive application and exceptionally low false match rate, making it a compelling option compared to conventional access control methods. Consequently, businesses and institutions are adopting this advanced technology to enhance security and streamline authentication processes.
Restraints in the Global Iris Recognition Market
The Global Iris Recognition market faces several challenges that hinder its growth. One significant obstacle is the integration of iris recognition systems with current IT frameworks, such as ERP, CRM, and older security platforms, which presents a technical challenge. Additionally, fluctuations in image quality arising from various factors like lighting conditions, user mobility, or physical barriers such as glasses and contact lenses can reduce recognition accuracy. Moreover, for effective real-time operation in high-volume environments, it is crucial to optimize the requirements for bandwidth, processing capabilities, and storage, complicating the implementation process further.
Market Trends of the Global Iris Recognition Market
In the short term, the Global Iris Recognition market is witnessing a significant shift driven by automation and artificial intelligence (AI). The integration of AI technologies is enhancing the precision and efficiency of iris recognition systems, which are increasingly being adopted across various sectors such as security, banking, and access control. Organizations are leveraging AI to automate manual processes and increase productivity while reducing operational costs. Additionally, cloud-based platforms equipped with sophisticated analytics are enabling businesses to swiftly adapt to the demands for personalized solutions and regulatory compliance. This trend towards enhanced efficiency and sustainability is solidifying iris recognition as a pivotal technology in the biometric landscape.