Research Summary
Image-based FFR (Fractional Flow Reserve) diagnosis is a non-invasive technique used to assess the severity of coronary artery disease (CAD) by measuring blood flow in the coronary arteries using medical imaging technologies. FFR is a physiological index that helps determine whether a coronary artery stenosis (narrowing) is causing significant restriction of blood flow, potentially leading to ischemia or reduced oxygen supply to the heart muscle. In image-based FFR, coronary angiography images are combined with computational fluid dynamics (CFD) or other advanced algorithms to simulate blood flow and calculate FFR without the need for invasive pressure wire measurements. This method allows physicians to evaluate coronary lesions with high accuracy and guide treatment decisions, such as determining whether angioplasty or stent placement is necessary, while reducing the need for invasive procedures. It is increasingly used in conjunction with modern imaging modalities like CT angiography or intravascular ultrasound for more precise, patient-specific cardiovascular care.
According to DIResearch's in-depth investigation and research, the global Image-based FFR Diagnosis market size was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.
The major global manufacturers of Image-based FFR Diagnosis include HeartFlow, Medis QFR, Beijing Heart Century, Raysight, Keya Medical, ArteryFlow Technology, Pulse Medical Imaging, Fosun Aitrox, Beijing GuanShengYun, Shukun, ShengShi etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Image-based FFR Diagnosis. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Image-based FFR Diagnosis market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Image-based FFR Diagnosis market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Image-based FFR Diagnosis industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of Image-based FFR Diagnosis Include:
HeartFlow
Medis QFR
Beijing Heart Century
Raysight
Keya Medical
ArteryFlow Technology
Pulse Medical Imaging
Fosun Aitrox
Beijing GuanShengYun
Shukun
ShengShi
Image-based FFR Diagnosis Product Segment Include:
CT-FFR
QFR
Others
Image-based FFR Diagnosis Product Application Include:
Hospital
Imaging Center
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends
Chapter 2: Global Image-based FFR Diagnosis Industry PESTEL Analysis
Chapter 3: Global Image-based FFR Diagnosis Industry Porter’s Five Forces Analysis
Chapter 4: Global Image-based FFR Diagnosis Major Regional Market Size and Forecast Analysis
Chapter 5: Global Image-based FFR Diagnosis Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Passenger Image-based FFR Diagnosis Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Image-based FFR Diagnosis Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Image-based FFR Diagnosis Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Image-based FFR Diagnosis Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Image-based FFR Diagnosis Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Image-based FFR Diagnosis Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Image-based FFR Diagnosis Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
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