Canada Cone-Beam Computed Tomography (CBCT) Systems Market is expected to reach USD 75.2 million by 2030

The government initiatives and increasing number of initiatives undertaken by market players are driving up demand for the Canada Cone-Beam Computed Tomography (CBCT) Systems market during the forecast period.

Canada Cone-Beam Computed Tomography (CBCT) Systems Market was valued at USD 33.9 million in 2022, and is predicted to reach USD 75.2 million by 2030, with a CAGR of 9.57% from 2023 to 2030, according to new research by Next Move Strategy Consulting.

Market expansion in Canada is being propelled by a growing number of initiatives undertaken by industry players to supply medical devices and broaden their international operations. An illustrative example is the partnership between Carestream Dental and Glidewell in May 2023, where they joined forces to distribute CBCT imaging systems in both the United States and Canada. This collaboration aims to improve patient access to advanced 3D imaging technology, enabling a broader spectrum of clinical procedures.

However, the substantial expense associated with acquiring Cone Beam Computed Tomography (CBCT) machines can serve as a notable hindrance to the expansion of the CBCT market. The initial investment required for obtaining CBCT machines can be a deterrent, particularly for healthcare facilities like smaller clinics or practices with constrained budgets. The high cost encompasses not only the machine's purchase but also considerations for installation, maintenance, and training expenses.

The financial burden associated with CBCT machines can limit their adoption, especially in regions with resource constraints or in healthcare settings where budget allocations are tight. This can restrict the availability and accessibility of CBCT technology, hindering its widespread implementation in various healthcare facilities.

On the other hand, the integration of Artificial Intelligence (AI) in CBCT software has the potential to revolutionize the field of imaging and significantly enhance the capabilities of CBCT technology. With AI algorithms, CBCT software can analyze and interpret images with greater precision and efficiency. These algorithms can be trained to automatically detect and segment anatomical structures, lesions, and abnormalities, providing valuable insights to clinicians. By automating these tasks, AI integration can save time and improve diagnostic accuracy, ultimately leading to more effective treatment planning.

Additionally, AI-powered CBCT software can simulate and visualize treatment outcomes, enabling clinicians to better plan and communicate treatment options with patients. Whether it's virtual implant placement, orthodontic treatment simulations, or surgical planning, the integration of AI in CBCT software offers new possibilities for personalized and optimized patient care. It holds the promise of streamlining workflows, reducing manual labor, and enhancing the overall efficiency and precision of CBCT imaging in various medical and dental applications.

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According to the report, leading players in the Canada Cone-Beam Computed Tomography (CBCT) Systems market include Dentsply Sirona, Koninklijke Philips N.V., Vatech Co., Ltd, Envista Holdings, Planmeca OY, J. Morita Mfg. Corp., Cefla S.C., Hefei Meyer Optoelectronic Technology INC, Xoran Technologies LLC, Acteon Group, Hitachi Ltd., Genoray Co Ltd, Asahi RoEntgen Ind. Co. Ltd., OSSTEM IMPLANT CO., LTD., Largev Instrument Corp. Ltd., Carestream Dental LLC, Curvebeam AI, and HDXWILL.

Key Insights from the Canada Cone-Beam Computed Tomography (CBCT) Systems Market Report:

  • The information related to key drivers, restraints, and opportunities and their impact on the Canada Cone-Beam Computed Tomography (CBCT) Systems market is provided in the report.

  • The value chain analysis in the market study provides a clear picture of the roles of each stakeholder.

  • The market share of players in the Canada Cone-Beam Computed Tomography (CBCT) Systems market is provided in the report along with their competitive analysis.

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