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市場調査レポート
商品コード
1261452
医用画像解析ソフトウェアの世界市場規模、シェア、産業動向分析レポートタイプ別、モダリティ別、エンドユーザー別、用途別、地域別展望と予測、2022年~2028年Global Medical Image Analysis Software Market Size, Share & Industry Trends Analysis Report By Type, By Modality, By End User, By Application, By Regional Outlook and Forecast, 2022 - 2028 |
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医用画像解析ソフトウェアの世界市場規模、シェア、産業動向分析レポートタイプ別、モダリティ別、エンドユーザー別、用途別、地域別展望と予測、2022年~2028年 |
出版日: 2023年03月31日
発行: KBV Research
ページ情報: 英文 291 Pages
納期: 即納可能
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医用画像解析ソフトウェア市場規模は、予測期間中にCAGR11.4%で成長し、2028年には66億米ドルに達すると予測されます。
さらに、医療用画像解析ソフトウェア市場のダイナミクスは、近年、人工知能(AI)の登場によって進化しており、これは近い将来も続くと予想されます。医療画像におけるAIベースのソリューションの用途には、画像解析、臨床判断支援、診断、検出などがあります。MRIやCT技術におけるAIの利用はまだ初期段階ですが、効率性、正確性、患者の安全性を求める需要は、予測期間を通じて拡大すると予測されます。
消費者の需要の高まりは、マルチモダリティイメージングプラットフォームや3Dイメージングなどの技術的に高度な商品の採用や、高解像度イメージング、使いやすさ、柔軟性といったこれらのシステムを使用する利点によって促進されます。今後数年間は、技術的に洗練された商品の発売や効果的な情報管理システムの開発によって、市場の拡大が促進されると予想されます。
COVID-19影響度分析
胸部スキャン写真の解析やCOVID-19感染者の診断など、臨床・医療用途で使用される医療用画像解析ソフトウェアの需要増が、市場に好影響を与えたと考えられます。また、世界的にテレヘルスの利用が急増しています。患者は医療従事者と遠隔でコミュニケーションをとり、X線、磁気共鳴画像(MRI)、超音波、その他の画像モダリティの画像を含む医療記録を共有することができます。このような要素が、医療用画像解析ソフトウェア市場の拡大を支えています。
市場成長要因
医用画像解析ソフトウェアへのAIの搭載
医療用画像は、深刻な病気や障害の診断やモニタリングに不可欠なツールであることが証明されています。人工知能(AI)は、医療用画像の処理と解析を向上させます。AIを搭載した医療用画像解析ソフトは、膨大な医療データを利用して、X線、磁気共鳴画像(MRI)、超音波画像などから取得した医療用画像中の特定の解剖学的マーカーを認識するアルゴリズムを訓練します。画像アルゴリズムと医用画像パターンの厳密な研究により、医用画像解析のためのAI対応ソフトウェアが指標と出力を導き出します。
医用画像処理システムの技術的な向上
MLは、放射線科医が写真の相関や他のデータとの統合を自動化することで、放射線画像における結果の発見や解釈、品質管理、そして発見、解釈、投与量推定を自動化できる可能性があります。また、データ駆動型の意思決定により、ポイントオブケア医用画像は、放射線科医、救急隊員、医師、患者をサポートし、診断や治療を早めることができます。このような革新的な技術の進歩は、今後数年間、医療用画像解析ソフトウェア市場の成長をサポートすると予想されます。
市場の抑制要因
ソフトウェアのコンプライアンスやセキュリティに関する懸念の高まり
医療用画像解析ソフトウェア市場では、ハッカーがシステム機器を容易に操作できるため、データ漏洩や患者の転帰に影響を及ぼすことが重要な課題となっています。また、ソフトウェアへの依存度の高まりは、バグや誤動作、サイバー脆弱性などの問題を悪化させます。不注意による誤動作やハッキングなどの悪影響があるため、ヘルスケア従事者は、画像解析ソフトウェアのようなITソリューションを医療行為に使用することに慎重になっています。医療機器に手を加えることで、医療効果の低下や患者への悪影響が生じる可能性があります。これは、今後数年間の市場拡大の障害となる可能性があります。
タイプ別展望
タイプに基づき、医用画像解析ソフトウェア市場は統合型とスタンドアロン型に区分されます。2021年、医療用画像解析ソフトウェア市場では、統合型が最も高い収益シェアを占めています。この大きな割合は、これらのソリューションを使用することによる利点に起因しています。さまざまな放射線学アプリケーションは、統合型ツールキットのワークフロー改善の恩恵を受けることができます。手頃な価格、データの集中保存、さまざまなユーザーが処理できるリアルタイムのデータへのアクセスといった利点から、統合システムの受け入れが増加し、このセグメントの収益シェアはさらに拡大すると予測されます。
モダリティの展望
モダリティ別に見ると、医用画像解析ソフトウェア市場は、コンピュータ断層撮影、磁気共鳴画像、超音波、複合モダリティ、その他に細分化されます。2021年、医用画像解析ソフトウェア市場では、超音波分野が顕著な収益シェアを記録しました。超音波は、臓器や軟部組織の画像化に用いられる主要な技術の1つです。超音波画像は、非侵襲的で放射線を使用しない画像技術です。さらに、リアルタイムでイメージングを行うことができます。超音波は、他の医療用画像処理方法と比較すると、低コストの手順です。医用画像解析とコンピュータ支援介入の領域は、デジタル画像量の削減に関係しています。
アプリケーションの展望
用途別では、医用画像解析ソフトウェア市場は、整形外科、歯科、神経学、心臓病学、腫瘍学、その他に分けられます。2021年、医療用画像処理市場では、神経学分野の収益シェアが突出していると予測されました。これは、脳腫瘍、腫瘍、その他の脳関連疾患の有病率の上昇により、CTやMRIの使用量が増加し、予測期間中にソフトウェア市場を押し上げるためです。また、医療業界における最新の技術的ブレークスルーを重視する傾向が強まっていることも、市場の拡大に大きな影響を与えています。
エンドユーザーの展望
エンドユーザーに基づき、医用画像解析ソフトウェア市場は、病院、診断センター、その他に二分されます。2021年、病院セグメントは医用画像解析ソフトウェア市場で最大の収益シェアを記録しました。医用画像解析ソフトウェアを用いた外科手術の実施に不可欠な支援インフラは、このセグメントの成長に寄与する最も重要な側面の1つです。診断用画像機器やソリューションのインストールベースは、研究・診断施設と比較して病院で多くなっています。また、患者の流入も著しく多いです。したがって、エンドユーザー市場は引き続き優位性を維持しています。
地域別展望
地域別に見ると、医療用画像解析ソフトウェア市場は、北米、欧州、アジア太平洋、LAMEAで分析されています。2021年、北米地域は最も高い収益シェアを獲得し、医用画像解析ソフトウェア市場をリードしました。その上昇は、洗練された診断機器を備えた老舗の医療施設があることや、この地域のヘルスケア情報技術の導入を促進する有利な政府施策に起因しています。さらに、研究開発費の増加や市場参入企業の存在も、この地域の市場拡大に寄与しています。
市場参入企業がとる主な戦略は、パートナーシップです。カーディナルマトリックスに記載された分析によると、GEヘルスケアテクノロジーズ社、シーメンス・ヘルティニアス社(Siemens AG)、キヤノン株式会社(Canon Medical Systems Corporation)が医療画像解析ソフトウェア市場の先行者となっています。Koninklijke Philips N.V.、MIM Software, Inc.、Spacelabs Healthcare(OSI Systems, Inc.)などの企業は、医療用画像解析ソフトウェア市場における主要なイノベーターであると言えます。
医療用画像解析ソフトウェア市場で展開されている最近の戦略
パートナーシップ、コラボレーション、および契約:
製品発売と製品拡大:製品発売と製品拡大
買収と合併(Acquisitions and Mergers)
承認と臨床試験
List of Figures
The Global Medical Image Analysis Software Market size is expected to reach $6.6 billion by 2028, rising at a market growth of 11.4% CAGR during the forecast period.
Medical personnel can track, archive, organize, and manipulate patient images using medical image analysis software. In addition, diagnostic equipment must have medical image analysis software since it enhances the qualities of an image, improving the effectiveness or efficiency of medical therapy. The purpose of this software is to save, view, train, and share medical data.
Growing demand for diagnostic imaging software in disciplines, including dental, orthopedics, neurology, urology, and oncology, is projected to expand the market. Furthermore, the need is anticipated to increase as ultrasonic imaging devices are used more frequently for quicker diagnosis, particularly chronic disorders. Additionally, it is projected that ongoing advancements in imaging technologies, like computer-aided diagnosis (CAD), would increase demand for these systems.
Furthermore, medical image analysis software market dynamics have evolved in recent years as a result of the advent of artificial intelligence (AI), and this is expected to continue in the near future. Applications for AI-based solutions in medical imaging include image analysis, clinical decision support, diagnosis, and detection. Although the use of AI in MRI and CT technologies is still in its infancy, it is projected that demand for efficiency, accuracy and patient safety will grow throughout the forecast period.
Growing consumer demand is fueled by the adoption of technologically advanced goods such as multimodality imaging platforms and 3D imaging, as well as the advantages of using these systems, like high-resolution imaging, easy use, and flexibility. In the upcoming years, the market expansion is anticipated to be fueled by the release of technologically sophisticated products and the development of effective information management systems.
COVID-19 Impact Analysis
The market was positively impacted by the rise in demand for medical image analysis software used in clinical or medical applications to analyze chest scan pictures and diagnose COVID-19-infected patients. Also, there was a huge surge in the usage of telehealth globally. Patients might communicate with medical professionals remotely and share their medical records, including X-ray, magnetic resonance imaging (MRI), ultrasound, and other imaging modalities' images. These elements supported the expansion of the market for medical image analysis software.
Market Growth Factors
Incorporation of AI in medical image analysis software
Medical imaging has proven to be an indispensable diagnostic and monitoring tool for serious diseases and disorders. Artificial intelligence (AI) improves picture processing and analysis in medical imaging. AI-enabled medical image analysis software utilizes enormous quantities of medical data to train its algorithms to recognize certain anatomical markers in medical pictures acquired from X-rays, magnetic resonance imaging (MRI), ultrasound imaging, and other modalities. Using image algorithms and a rigorous study of medical picture patterns, AI-enabled software for medical image analysis derives metrics and outputs.
Technological enhances in medical imaging systems
ML will enable radiologists to discover and interpret results, control quality, and potentially automate findings, interpretations, and dosage estimation in radiological imaging by automating the correlation and integration of pictures with other data. Using data-driven decisions, point-of-care medical imaging also supports radiologists, emergency personnel, doctors, and patients in hastening diagnosis and treatment. These innovative technological advancements are anticipated to support the growth of the medical image analysis software market in the upcoming years.
Market Restraining Factors
Rising concern regarding the software's compliance & security
In the medical image analysis software market, hacking is a significant issue because hackers can readily manipulate system equipment, leading to data breaches or affecting patient outcomes. In addition, the growing reliance on software exacerbates problems such as bugs, malfunctions, and cyber vulnerability. Due to the detrimental effects of inadvertent malfunction and hacking, healthcare practitioners are cautious about using IT solutions, like image analysis software, in medical procedures. Loss of effectiveness & adverse consequences on patients may come from tampering with medical equipment. This may be an obstacle to the expansion of the market in the years to come.
Type Outlook
Based on type, the medical image analysis software market is segmented into integrated and standalone. In 2021, the integrated segment held the highest revenue share in the medical image analysis software market. This large proportion is attributed to the advantages of using these solutions. A variety of radiology applications can benefit from the integrated toolkit's improved workflow. Increased acceptance of integrated systems because of their advantages-affordability, centralized data storage, and access to real-time data for various users to process-is projected to further expand the segment's revenue share.
Modality Outlook
On the basis of modality, the medical image analysis software market is fragmented into computed tomography, magnetic resonance imaging, ultrasound, combined modalities and others. In 2021, the ultrasound segment recorded a remarkable revenue share in the medical image analysis software market. Ultrasound is among the primary techniques used for imaging organs and soft tissues. Ultrasonic imaging is a non-invasive, radiation-free imaging technology. Moreover, it offers imaging in real-time. Ultrasound is a low-cost procedure when compared to other medical imaging methods. The domains of medical image analysis and computer-assisted interventions are concerned with reducing digital picture volume.
Application Outlook
By application, the medical image analysis software market is divided into orthopedic, dental, neurology, cardiology, oncology and others. In 2021, the neurology segment projected a prominent revenue share in the medical imaging market. This is due to the rising prevalence of brain cancer, tumors, and other brain-related disorders, leading to the increased usage of CT and MRI, pushing the market for software over the forecast period. In addition, the increased emphasis on the most recent technological breakthroughs in the medical industry has a substantial impact on the expansion of the market.
End User Outlook
Based on end user, the medical image analysis software market is bifurcated into hospitals, diagnostic centers and others. In 2021, the hospital segment registered the maximum revenue share in the medical image analysis software market. Supportive infrastructure, which is essential for performing surgical procedures with medical imaging software, is one of the most important aspects contributing to the segment's growth. The installed base of diagnostic imaging equipment and solutions is greater in hospitals compared to research and diagnostic facilities. In addition, the influx of patients is significantly greater. Hence, the end-use market continues to maintain its advantage.
Regional Outlook
Region wise, the medical image analysis software market is analyzed across North America, Europe, Asia Pacific and LAMEA. In 2021, the North America region led the medical image analysis software market by generating the highest revenue share. Its rise is attributable to the availability of well-established medical facilities with sophisticated diagnostic equipment and favorable government measures that encourage the deployment of healthcare information technology in this region. In addition, increasing R&D expenditures and the presence of important market participants also contribute to expanding the regional market.
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; GE HealthCare Technologies, Inc., Siemens Healthineers AG (Siemens AG), Canon, Inc.(Canon Medical Systems Corporation) are the forerunners in the Medical Image Analysis Software Market. Companies such as Koninklijke Philips N.V., MIM Software, Inc. and Spacelabs Healthcare (OSI Systems, Inc.) are some of the key innovators in Medical Image Analysis Software Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Canon, Inc. (Canon Medical Systems Corporation), Koninklijke Philips N.V., GE HealthCare Technologies, Inc., Siemens Healthineers AG (Siemens AG), Spacelabs Healthcare (OSI Systems, Inc.), Agfa-Gevaert Group, MIM Software, Inc., Esaote SpA, Aquilab SAS (Coexya), and Merative L.P. (Francisco Partner)
Recent Strategies Deployed Medical Image Analysis Software Market
Partnerships, Collaborations and Agreements:
Feb-2023: Agfa joined hands with Lunit, a company engaged in the development of medical AI software. This collaboration would aim to provide clinicians with the latest critical findings notification workflow by combining the Lunit INSIGHT CXR software in the MUSICA Workstation. Additionally, Agfa would aim to deliver on its vision to transform digital radiography.
Nov-2022: GE Healthcare teamed up with MediView XR, an augmented reality med-tech company. Under this collaboration, Companies would develop the OmnifyXR Interventional Suite System for the combination of medical imaging into mixed-reality solutions. Additionally, the collaboration intends to develop precision care utilizing remote collaboration, intuitive visualization, and evidence-based insight.
Jul-2022: Siemens Healthineers partnered with Subtle Medical, a provider of artificial intelligence solutions for medical imaging. Following the partnership, Siemens Healthineers Open Recon, the company's reconstruction pipeline subtle Medical's SubtleMR™ image-enhancement software. Moreover, this partnership would deliver better time savings to existing Siemens customers.
Apr-2022: Philips entered into a partnership with Prisma, the industry's most complete Cloud Native Application Protection Platform. This partnership aimed to improve healthcare across the enterprise and unleash the power of patient data. Through the Philips HealthSuite safeguard cloud platform at its foundation, Philips would strengthen enterprise interoperability, standardize patient monitoring, and boost innovation in enterprise imaging solutions to improve patient care and enhance clinical performance.
Feb-2022: MIM Software, Inc. partnered with AMG Medtech Ltd., a provider of artificial intelligence, software solutions, and process improvement medical technologies throughout a variety of diagnostic and therapy care paths. This partnership would focus on advancing MIM software's prospective and existing customer base in the United Kingdom and Ireland.
Dec-2021: Canon Medical teamed up with Spectronic Medical, a research, and development company. This collaboration aimed to provide integrated AI solutions for precise radiotherapy planning in MRI.
Jul-2021: Canon came into a partnership with Cleerly, a digital healthcare company. Under this partnership, the companies would facilitate simple and streamlined adoption of cardiac CT and introduce new standards of heart disease care.
Apr-2021: Siemens Healthineers came into a partnership with Radlink, a leading medical device manufacturer. This partnership aimed to introduce Radlink HIP and Radlink TRAUMA Software Apps, which would offer a fully integrated, app-based solution for orthopedic surgeons to simplify intraoperative imaging guidance, verify component positioning and enhance efficiency during surgery.
Mar-2021: Siemens Healthineers announced a partnership with Epsilon Imaging, a provider of visualization and analysis software. Through this partnership, Siemens Healthineers would broaden precision medicine into routine care by combining a vendor-neutral tool for training imaging into cardiovascular clinical practice.
Mar-2021: Royal Philips partnered with DiA Imaging Analysis, a leader in providing AI-powered applications for ultrasound. Following this partnership, the companies would offer automated solutions to clinicians at the point of care. Additionally, Philips's high image quality in combination with the AI library of automated solutions of DiA Imaging Analysis would help increase operational efficiency, diagnostic confidence, and access to care for Point-of-Care customers everywhere.
Product Launches and Product Expansions:
Nov-2022: Philips announced the launch of The Advanced Visualization Workspace, the new version of Philips' diagnostic imaging platform. The platform is created to connect a hospital's neurology, radiology, cardiology, and oncology departments in one virtual space, enabling them to ease the process of sharing patient data and communicating with each other regarding the result and diagnosis.
Apr-2021: Royal Philips expanded its product line by introducing improved digital diagnostic and interventional neurovascular imaging solutions in the new Central Acute Services Building at Westmead Hospital in Sydney, Australia. This latest technology would offer up-to-date MR information at any time while surgical procedures that would assist clinicians to develop real-time adjustments to treatment in such procedures.
Acquisitions and Mergers:
Feb-2023: GE Healthcare signed an agreement to acquire Caption Health, an AI healthcare company. With this acquisition, Caption Health's AI application would help allow consistent, reliable ultrasound examinations to provide more precise diagnoses, improved treatment decision-making, and further better patient outcomes.
Feb-2023: Spacelabs Healthcare completed the acquisition of PeraHealth, a predictive analytics company. Through this acquisition, PeraHealth's powerful analytics would be combined with Spacelabs' digital health offering. Also, the acquisition would further help healthcare businesses provide better outcomes and decrease costs with a better picture of their patient's health.
Jan-2023: GE HealthCare took over IMACTIS, a France-based company that created CT-Navigation. CT-Navigation is a unique interventional radiological innovation for the advantage of patients and caregivers. Following this acquisition, companies would offer substantial expansion opportunities for the IMACTIS CT-Navigation system with the help of GE Healthcare's global presence and infrastructure.
Approvals and Trials:
Sep-2022: GE Healthcare got FDA approval for AIR Recon DL software, a MRI software. The product produces better image quality and offers patients a quick trip inside the scanner.
Apr-2021: Philips received FDA approval for SmartCT 3D imaging software, an image acquisition, visualization, and measurement software. The Product would be able to improve streamline workflows, and clinical confidence, and accelerate productivity by bringing the intuitive touchscreen controls of advanced 3D image acquisition, visualization, quantitative measurements, and vessel/organ segmentation inside the uncontaminated zone of the intervention lab and the table-side.
Market Segments covered in the Report:
By Type
By Modality
By End User
By Application
By Geography
Companies Profiled
Unique Offerings from KBV Research