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市場調査レポート
商品コード
1701421
近赤外線イメージングの市場規模、シェア、成長分析、タイプ別、適応症別、用途別、エンドユーザー別、地域別 - 産業予測 2025-2032年Near Infrared Imaging Market Size, Share, and Growth Analysis, By Type (Device, NIR Imaging Agents/Probes), By Indications (Cancer Surgeries, GIT Surgeries), By Application, By End Users, By Region - Industry Forecast 2025-2032 |
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近赤外線イメージングの市場規模、シェア、成長分析、タイプ別、適応症別、用途別、エンドユーザー別、地域別 - 産業予測 2025-2032年 |
出版日: 2025年04月04日
発行: SkyQuest
ページ情報: 英文 219 Pages
納期: 3~5営業日
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近赤外線イメージングの世界市場規模は2023年に17億米ドルと評価され、2024年の18億3,000万米ドルから2032年には32億6,000万米ドルに成長し、予測期間(2025-2032年)のCAGRは7.5%で成長する見通しです。
世界の近赤外線イメージング市場は、精密な診断ツールを必要とするがんや心血管疾患などの慢性疾患の罹患率の上昇に牽引され、大きな成長を遂げています。この技術は可視化と組織分化を強化し、早期診断と患者の予後改善につながります。低侵襲手術の動向は、近赤外線イメージングが手術ナビゲーションを向上させ、リスクを軽減することから、さらに需要を促進しています。しかし、高い装置コストと厳しい規制ハードルが市場成長を阻害する可能性があります。主な動向には、自動画像解析のためのAIの統合や、現場診断のためのポータブル画像診断装置の開発などがあります。さらに、個別化された医療用画像の需要やヘルスケア部門内の協力関係は、特に新興市場において革新と拡大の豊富な機会を提供しています。米国では、今後の予測期間において、近赤外線イメージング分野で持続的な成長が予測されています。
Global Near Infrared Imaging Market size was valued at USD 1.7 billion in 2023 and is poised to grow from USD 1.83 billion in 2024 to USD 3.26 billion by 2032, growing at a CAGR of 7.5% during the forecast period (2025-2032).
The global Near-Infrared Imaging Market is experiencing significant growth, driven by the rising incidence of chronic diseases such as cancer and cardiovascular conditions, which demand precise diagnostic tools. This technology enhances visualization and tissue differentiation, leading to earlier diagnoses and better patient outcomes. The increasing trend towards minimally invasive surgeries further propels demand, as near-infrared imaging improves surgical navigation and reduces risks. However, high equipment costs and stringent regulatory hurdles could impede market growth. Key trends include the integration of AI for automated image analysis and the development of portable imaging devices for on-site diagnostics. Additionally, the demand for personalized medical imaging and collaborations within the healthcare sector offer abundant opportunities for innovation and expansion, especially in emerging markets. In the US, sustainable growth is projected for the near-infrared imaging segment in the upcoming forecast period.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Near Infrared Imaging 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 Near Infrared Imaging Market Segments Analysis
Global Near Infrared Imaging Market is segmented by Type, Indications, Application, End Users and region. Based on Type, the market is segmented into Device, NIR Imaging Agents/Probes and NIR Dyes. Based on Indications, the market is segmented into Cancer Surgeries, GIT Surgeries, Cardiovascular Surgeries, Plastic/Reconstructive Surgeries, OB/GYN Surgeries and Others. Based on Application, the market is segmented into Preclinical, Clinical and Medical. Based on End Users, the market is segmented into Hospitals and Surgical Clinics, Pharmaceutical and Biotechnology Companies, Research Labs and Academic Institutes 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 Near Infrared Imaging Market
The growing preference for non-invasive diagnostic methods is a major catalyst for the global near-infrared imaging market. Both patients and healthcare providers favor imaging solutions that alleviate patient discomfort while minimizing the risk of complications. Near-infrared imaging stands out for its ability to deliver high-resolution images in real-time, facilitating early detection and precise diagnosis. For instance, in the context of breast cancer screening, techniques like diffuse optical tomography (DOT) and optical coherence tomography (OCT) present non-invasive options that serve as alternatives to conventional mammography, thereby reducing patient anxiety and improving diagnostic precision.
Restraints in the Global Near Infrared Imaging Market
The Global Near Infrared Imaging market faces a substantial obstacle due to the elevated costs associated with these imaging systems. The intricate technology and specialized equipment required, along with significant research and development expenditures, lead to high initial and ongoing maintenance costs. As a result, affordability and accessibility are often limited, especially in resource-limited areas and healthcare environments. Addressing these cost-related challenges and developing more economical solutions will be essential for driving market growth and facilitating the broader acceptance and utilization of near-infrared imaging technologies across diverse applications.
Market Trends of the Global Near Infrared Imaging Market
The Global Near Infrared Imaging market is witnessing a significant trend driven by the integration of Artificial Intelligence (AI) and machine learning into imaging systems. This technological advancement enhances the capability of near-infrared imaging by enabling the analysis of large datasets, which facilitates precise image interpretation and more efficient diagnoses. Notably, AI algorithms are employed to detect patterns and anomalies in near-infrared images, particularly in applications related to neurodegenerative diseases like Alzheimer's. As a result, the incorporation of AI not only improves diagnostic accuracy but also accelerates the development of innovative imaging solutions, positioning the market for robust growth in the coming years.