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X-RAY MACHINE MANUFACTURING MARKET ANALYSIS

X-ray Machine Manufacturing Market, By Product Type (Stationary and Portable), By Technology (Analog and Digital)), By End User (Healthcare, Transportation and Logistics, Government, and Other End Users), and By Geography (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa)

  • Published In : Jul 2023
  • Code : CMI6028
  • Pages :150
  • Formats :
      Excel and PDF
  • Industry : Medical Devices

X-ray Machine Manufacturing MarketSize and Trends

The global X-ray machine manufacturing market was valued at US$ 15.23 Bn in 2022 and is forecast to reach a value of US$ 23.82 Bn by 2030 at a CAGR of 5.8% between 2023 and 2030. The global X-ray machine manufacturing market is experiencing strong growth due to the increasing prevalence of chronic and orthopedic diseases and increasing adoption of digital X-ray systems around the globe. Moreover, rise in deployment of highly efficient security solutions and increasing demand for portable X-ray devices is expected to propel the market growth. However, factors such as high cost of equipment and installation and rise in use of refurbished X-ray devices are expected to hamper the growth of the market.

Global X-ray Machine Manufacturing Market Trends:

Deployment of handheld devices is a recent trend

The trend of miniaturization of devices and ease to use have led to the development of handheld variants. The customs and border protection organizations are prominent end users of handheld X-ray devices. The occurrences of illicit trading of explosives, drugs, arms, currency, ammunition, and other materials, are increasing worldwide. Handheld devices play important role in identifying these materials to prevent these trades and improve the national security. This trend is expected to continue during the forecast period, driving the market growth.

Technological advancements is another trend

Over the past few years, digital x-ray devices have undergone significant advances focused on core and ancillary technologies to provide high-quality, high-resolution images without corresponding increase in radiation dose. These solutions integrate new technologies and algorithms along with, other improvements to take advantage of the optimization potential of digital image enhancement. Artificial intelligence (AI) is running rampant in radiology and imaging equipment, and is already being used in many ways in radiology and is the future.

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