市場調查報告書
商品編碼
1424844
CT 系統的全球市場 - 市場規模(按細分市場)、份額、監管、報銷、運行設備數量、預測(截至 2033 年)Computed Tomography (CT) Systems Market Size by Segments, Share, Regulatory, Reimbursement, Installed Base and Forecast to 2033 |
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由於技術創新、非侵入性診斷的提供、老年人口的增加、慢性病患病率的增加以及發達國家醫療保健支出的增加,全球 CT 系統市場多年來呈現顯著增長。我是。
本報告研究和分析了全球 CT 系統市場,並提供了有關每個細分市場的市場規模、市場趨勢、競爭狀況以及 COVID-19 影響的資訊。
市場模型的主要內容如下。
商用 CT 系統與不斷變化的競爭格局
全球、區域和國家層面的特定市場考量
透過對醫療保健系統的真實、全面的了解來促進市場了解。 市場進入部分還提供有關報銷政策和監管環境的信息,使您能夠更深入地研究市場動態。
目標公司
Computed Tomography (CT) Systems Market Size by Segments, Share, Regulatory, Reimbursement, Installed Base and Forecast to 2033 is built to visualize quantitative market trends within Diagnostic Imaging therapeutic area.
The model discusses in detail the impact of COVID-19 on Computed Tomography (CT) Systems market for the year 2020 and beyond.
Computed Tomography or Computerized X-ray imaging is a process which involves series of X-rays, taken from different angles around the body to get the cross - sectional images (slices). It uses a motorized X-ray source which rotates around a donut shaped structure called as gantry.
CT scans are medical tools used for diagnosing and detecting the body which includes chest(thorax), abdomen and pelvis, the spine, head and neck, and other extremities(arms and legs). CT scanners are categorized depending upon the number of slices (256-320, 126, 64, 20-40, 16), which varies according to the body part to be scanned. Slices in a CT helps in generating cross - sectional images, higher count of slices produces higher image resolution and reduces the scan time for the radiologists. It assist in monitoring the effectiveness of certain treatments, such as cancer treatments.
Over the years, CT systems market has seen a significant growth because of the technological innovations, provides non - invasive diagnosis, growing geriatric population, increase in the prevalence of chronic diseases and the rise in healthcare expenditure of the developed countries.
Each of the covered 39 country's color-coded and fully-sourced market models are equipped with epidemiology based indications with procedure volumes. To increase the data transparency, the interactive excel deliverable covers installed base, new sales volumes, product usage, average selling prices, market size and company share/rank analysis (wherever available). Moreover, analyst comments with qualitative insight offer context for quantitative data.
Key Inclusions of the market model are -
Currently marketed Computed Tomography (CT) Systems and evolving competitive landscape -
Global, Regional and Country level market specific insights -
Drive the understanding of the market by getting the veritable big picture including an overview of the healthcare system. In addition the Market Access segment allows you to delve deeper into market dynamics with information on reimbursement policies and the regulatory landscape.
Robust methodologies and sources enable the model to provide extensive and accurate overview of the market. Demand and supply-side primary sources are integrated within the syndicated models, including Key Opinion Leaders. In addition, real world data sources are leveraged to determine market trends; these include government procedure databases, hospital purchasing databases, and proprietary online databases.
Companies covered: Siemens Healthineers AG, GE Healthcare Technologies Inc, Canon Medical Systems Corp, Philips Healthcare, Neusoft Medical Systems Co Ltd, and Others
Countries covered: United States, United Kingdom, Germany, France, Italy, Spain, Brazil, China, India, Russia, Japan, Australia, Canada, Mexico, South Korea, Denmark, Ireland, Netherlands, New Zealand, South Africa, Sweden, Switzerland, Austria, Belgium, Finland, Israel, Norway, Poland, Portugal, Taiwan, Czech Republic, Greece, Hungary, Turkey, Egypt, Saudi Arabia, United Arab Emirates, Argentina, and Chile.
This Market Model gives important, expert insight you won't find in any other source. The model illustrates qualitative and quantitative trends within the specified market. This model is required reading for -
The model will enable you to -
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