LONDON, Dec. 9, 2015 /PRNewswire/ -- US demand to grow 5.8% annually through 2019
The Freedonia Group projects that US demand for medical imaging products will rise 5.8 percent yearly to $32 billion in 2019. Gains will reflect advancing technologies, aging demographic trends, epidemiological patterns, and changing patient care strategies. New equipment, consumables, and data systems with enhanced and expanded performance capabilities will build sales among hospitals and outpatient facilities pursuing improvements in the accuracy, quality, and efficiency of diagnostic procedures. Trends promoting value-based patient care approaches will impact favorably on the market for medical imaging products that yield fast and accurate testing results and enable the long-term monitoring of therapeutic outcomes.
CT scanners to be fastest growing imaging equipment
Demand for medical imaging equipment is expected to grow 6.2 percent per year to more than $20 billion in 2019. CT scanners will generate the fastest revenue growth as an increasing number of currently installed systems reach the end of their product life cycles and are replaced with higher value-added new generation models. High-slice CT models will fare particularly well in the marketplace based on the higher resolution of images, broader disease detection capabilities, and faster testing times. These scanners are able to detect the smallest of tumors or plaque deposits rapidly, making them well-suited to the diagnosis of various cancer and heart disease markers.
Among other medical imaging equipment, MRI, combination PET/CT, digital radiology systems, and handheld ultrasound devices will account for the fastest unit and revenue growth. High-field scanners will dominate new MRI installations due to their ability to visualize exceptionally fine anatomical detail and to provide images of physiological processes. Combination PET/CT systems will expand applications in nuclear medicine based on dual anatomical and metabolic screening capabilities and advantages in blood flow analysis
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