CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO Perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.3. Porter’s five forces analysis
3.3.1. Low bargaining power of suppliers
3.3.2. Low threat of new entrants
3.3.3. Low threat of substitutes
3.3.4. Low intensity of rivalry
3.3.5. Low bargaining power of buyers
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Rise in prevalence of chronic diseases
3.4.1.2. Advancements in diagnostic imaging modalities
3.4.1.3. Growing application of multimodal imaging systems
3.4.2. Restraints
3.4.2.1. High cost of multimodal imaging systems
3.4.3. Opportunities
3.4.3.1. Growth opportunities in emerging markets
CHAPTER 4: MULTIMODAL IMAGING MARKET, BY TECHNOLOGY
4.1. Overview
4.1.1. Market size and forecast
4.2. PET/CT Systems
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market share analysis by country
4.3. PET/MR Systems
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market share analysis by country
4.4. SPECT/CT Systems
4.4.1. Key market trends, growth factors and opportunities
4.4.2. Market size and forecast, by region
4.4.3. Market share analysis by country
4.5. Others
4.5.1. Key market trends, growth factors and opportunities
4.5.2. Market size and forecast, by region
4.5.3. Market share analysis by country
CHAPTER 5: MULTIMODAL IMAGING MARKET, BY APPLICATION
5.1. Overview
5.1.1. Market size and forecast
5.2. Brain and Neurology
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market share analysis by country
5.3. Cardiology
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market share analysis by country
5.4. Oncology
5.4.1. Key market trends, growth factors and opportunities
5.4.2. Market size and forecast, by region
5.4.3. Market share analysis by country
5.5. Ophthalmology
5.5.1. Key market trends, growth factors and opportunities
5.5.2. Market size and forecast, by region
5.5.3. Market share analysis by country
5.6. Others
5.6.1. Key market trends, growth factors and opportunities
5.6.2. Market size and forecast, by region
5.6.3. Market share analysis by country
CHAPTER 6: MULTIMODAL IMAGING MARKET, BY END USER
6.1. Overview
6.1.1. Market size and forecast
6.2. Hospitals
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market share analysis by country
6.3. Diagnostic Imaging Centers
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market share analysis by country
6.4. Others
6.4.1. Key market trends, growth factors and opportunities
6.4.2. Market size and forecast, by region
6.4.3. Market share analysis by country
CHAPTER 7: MULTIMODAL IMAGING MARKET, BY REGION
7.1. Overview
7.1.1. Market size and forecast By Region
7.2. North America
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market size and forecast, by Technology
7.2.3. Market size and forecast, by Application
7.2.4. Market size and forecast, by End User
7.2.5. Market size and forecast, by country
7.2.5.1. U.S.
7.2.5.1.1. Market size and forecast, by Technology
7.2.5.1.2. Market size and forecast, by Application
7.2.5.1.3. Market size and forecast, by End User
7.2.5.2. Canada
7.2.5.2.1. Market size and forecast, by Technology
7.2.5.2.2. Market size and forecast, by Application
7.2.5.2.3. Market size and forecast, by End User
7.2.5.3. Mexico
7.2.5.3.1. Market size and forecast, by Technology
7.2.5.3.2. Market size and forecast, by Application
7.2.5.3.3. Market size and forecast, by End User
7.3. Europe
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market size and forecast, by Technology
7.3.3. Market size and forecast, by Application
7.3.4. Market size and forecast, by End User
7.3.5. Market size and forecast, by country
7.3.5.1. Germany
7.3.5.1.1. Market size and forecast, by Technology
7.3.5.1.2. Market size and forecast, by Application
7.3.5.1.3. Market size and forecast, by End User
7.3.5.2. France
7.3.5.2.1. Market size and forecast, by Technology
7.3.5.2.2. Market size and forecast, by Application
7.3.5.2.3. Market size and forecast, by End User
7.3.5.3. UK
7.3.5.3.1. Market size and forecast, by Technology
7.3.5.3.2. Market size and forecast, by Application
7.3.5.3.3. Market size and forecast, by End User
7.3.5.4. Italy
7.3.5.4.1. Market size and forecast, by Technology
7.3.5.4.2. Market size and forecast, by Application
7.3.5.4.3. Market size and forecast, by End User
7.3.5.5. Spain
7.3.5.5.1. Market size and forecast, by Technology
7.3.5.5.2. Market size and forecast, by Application
7.3.5.5.3. Market size and forecast, by End User
7.3.5.6. Rest of Europe
7.3.5.6.1. Market size and forecast, by Technology
7.3.5.6.2. Market size and forecast, by Application
7.3.5.6.3. Market size and forecast, by End User
7.4. Asia-Pacific
7.4.1. Key market trends, growth factors and opportunities
7.4.2. Market size and forecast, by Technology
7.4.3. Market size and forecast, by Application
7.4.4. Market size and forecast, by End User
7.4.5. Market size and forecast, by country
7.4.5.1. Japan
7.4.5.1.1. Market size and forecast, by Technology
7.4.5.1.2. Market size and forecast, by Application
7.4.5.1.3. Market size and forecast, by End User
7.4.5.2. China
7.4.5.2.1. Market size and forecast, by Technology
7.4.5.2.2. Market size and forecast, by Application
7.4.5.2.3. Market size and forecast, by End User
7.4.5.3. India
7.4.5.3.1. Market size and forecast, by Technology
7.4.5.3.2. Market size and forecast, by Application
7.4.5.3.3. Market size and forecast, by End User
7.4.5.4. Australia
7.4.5.4.1. Market size and forecast, by Technology
7.4.5.4.2. Market size and forecast, by Application
7.4.5.4.3. Market size and forecast, by End User
7.4.5.5. South Korea
7.4.5.5.1. Market size and forecast, by Technology
7.4.5.5.2. Market size and forecast, by Application
7.4.5.5.3. Market size and forecast, by End User
7.4.5.6. Rest of Asia-Pacific
7.4.5.6.1. Market size and forecast, by Technology
7.4.5.6.2. Market size and forecast, by Application
7.4.5.6.3. Market size and forecast, by End User
7.5. LAMEA
7.5.1. Key market trends, growth factors and opportunities
7.5.2. Market size and forecast, by Technology
7.5.3. Market size and forecast, by Application
7.5.4. Market size and forecast, by End User
7.5.5. Market size and forecast, by country
7.5.5.1. Brazil
7.5.5.1.1. Market size and forecast, by Technology
7.5.5.1.2. Market size and forecast, by Application
7.5.5.1.3. Market size and forecast, by End User
7.5.5.2. Saudi Arabia
7.5.5.2.1. Market size and forecast, by Technology
7.5.5.2.2. Market size and forecast, by Application
7.5.5.2.3. Market size and forecast, by End User
7.5.5.3. South Africa
7.5.5.3.1. Market size and forecast, by Technology
7.5.5.3.2. Market size and forecast, by Application
7.5.5.3.3. Market size and forecast, by End User
7.5.5.4. Rest of LAMEA
7.5.5.4.1. Market size and forecast, by Technology
7.5.5.4.2. Market size and forecast, by Application
7.5.5.4.3. Market size and forecast, by End User
CHAPTER 8: COMPETITIVE LANDSCAPE
8.1. Introduction
8.2. Top winning strategies
8.3. Product mapping of top 10 player
8.4. Competitive dashboard
8.5. Competitive heatmap
8.6. Top player positioning, 2022
CHAPTER 9: COMPANY PROFILES
9.1. GE Healthcare
9.1.1. Company overview
9.1.2. Key executives
9.1.3. Company snapshot
9.1.4. Operating business segments
9.1.5. Product portfolio
9.1.6. Business performance
9.2. Canon Inc.
9.2.1. Company overview
9.2.2. Key executives
9.2.3. Company snapshot
9.2.4. Operating business segments
9.2.5. Product portfolio
9.2.6. Business performance
9.3. Topcon Corporation
9.3.1. Company overview
9.3.2. Key executives
9.3.3. Company snapshot
9.3.4. Operating business segments
9.3.5. Product portfolio
9.3.6. Business performance
9.3.7. Key strategic moves and developments
9.4. Bruker Corporation
9.4.1. Company overview
9.4.2. Key executives
9.4.3. Company snapshot
9.4.4. Operating business segments
9.4.5. Product portfolio
9.4.6. Business performance
9.5. Spectrum Dynamics Medical, LLC
9.5.1. Company overview
9.5.2. Key executives
9.5.3. Company snapshot
9.5.4. Operating business segments
9.5.5. Product portfolio
9.5.6. Key strategic moves and developments
9.6. Mediso Ltd.
9.6.1. Company overview
9.6.2. Key executives
9.6.3. Company snapshot
9.6.4. Operating business segments
9.6.5. Product portfolio
9.6.6. Key strategic moves and developments
9.7. MR Solutions
9.7.1. Company overview
9.7.2. Key executives
9.7.3. Company snapshot
9.7.4. Operating business segments
9.7.5. Product portfolio
9.8. Neusoft Corporation
9.8.1. Company overview
9.8.2. Key executives
9.8.3. Company snapshot
9.8.4. Operating business segments
9.8.5. Product portfolio
9.8.6. Business performance
9.9. Koninklijke Philips N.V.
9.9.1. Company overview
9.9.2. Key executives
9.9.3. Company snapshot
9.9.4. Operating business segments
9.9.5. Product portfolio
9.9.6. Business performance
9.9.7. Key strategic moves and developments
9.10. Siemens
9.10.1. Company overview
9.10.2. Key executives
9.10.3. Company snapshot
9.10.4. Operating business segments
9.10.5. Product portfolio
9.10.6. Business performance
9.10.7. Key strategic moves and developments
| ※参考情報 マルチモーダルイメージングは、異なるイメージング技術を組み合わせて、対象物のより詳細な情報を取得する方法です。この技術は、医療、物理学、材料科学、環境学など幅広い分野で利用されています。マルチモーダルという用語は、異なるモダリティ、つまり異なる感覚や技術に基づく情報源を統合することを指します。このアプローチの主な利点は、単一のイメージング技術では得られない複雑な情報を得ることができる点です。 マルチモーダルイメージングの主要な種類には、光学イメージング、超音波イメージング、磁気共鳴イメージング（MRI）、コンピュータ断層撮影（CT）、核医学イメージングなどがあります。これらはそれぞれ異なる原理に基づいており、特定の分野や目的に応じて適切な技術が選ばれます。 光学イメージングは、可視光や近赤外線を用いて対象物を観察する技術で、蛍光イメージングや位相差顕微鏡など多様な派生技術があります。これにより、生物学的標本や組織の詳細な構造をリアルタイムで観察することができます。 超音波イメージングは、音波を利用して体内の構造をVisualizeする技術で、特に妊婦の胎児の健康診断などに広く使用されています。非侵襲的であり、放射線を使わないため、安全性の高い選択肢となっています。 MRIは、強い磁場とラジオ波を用いることで、全身の構造や機能を可視化する技術です。特に脳や神経系のイメージングにおいて、優れた解像度とコントラストを提供します。他方、CTスキャンは、X線を用いて体内の断面画像を取得する手法です。特に急性の病態や外傷に対して迅速な診断が可能です。 核医学イメージングは、放射性同位体を使用して体内の生理的な活動を評価する技術で、PET（ポジトロン断層撮影）やSPECT（単一光子放射断層撮影）が含まれます。これらは代謝や血流の評価において特に有用です。 マルチモーダルイメージングの主な用途は、医療における診断と治療計画の最適化です。例えば、MRIとCTを組み合わせることで、腫瘍の位置や大きさだけでなく、周囲の組織との関係性をより明確に把握することができます。このように、異なる技術を組み合わせることで、より包括的な情報が得られるのです。 科学研究においても、マルチモーダルイメージングは重要な役割を果たしています。例えば、細胞生物学の分野では、蛍光イメージングを用いて細胞の動態を観察しつつ、同時にMRIを用いて細胞が存在する組織の特性を理解することができます。このようなアプローチは、新たな治療法や病態の理解に貢献します。 また、環境学においてもマルチモーダルイメージングは注目されています。地球観測衛星からのデータなど、複数のセンサーからの情報を統合することで、気候変動や災害の影響をより正確に分析することが可能となります。 関連技術としては、データ融合技術や機械学習があります。データ融合技術は、異なるイメージング技術から得られたデータを統合し、より信頼性の高い情報を生成する方法です。機械学習は、マルチモーダルデータの解析をより効率的かつ効果的に行うための強力なツールとなっています。 これらの技術は、マルチモーダルイメージングの結果をさらに向上させ、新たなアプリケーションを生み出す可能性を秘めています。将来的には、個別化医療や精密医療においても、マルチモーダルイメージングは重要な役割を果たすでしょう。 以上のように、マルチモーダルイメージングは、様々なイメージング技術を駆使して、より詳細で包括的な情報を提供し、さまざまな分野で貢献しています。今後も技術の進化とともに、その応用範囲は広がり続けると考えられています。 |
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