3D cameras are one of the most promising sectors for the healthcare industry. Third dimension is playing a progressively important role in image processing application. 3D Cameras offers great scope to healthcare industry and another milestone was reached by adding 3D technology to our camera portfolio. More detailed and realistic images are offered by 3D cameras as comparison to previous models. It also allows images to be routed in different aspects such as Digital Visual Interface (DVI) and High-Definition Serial Digital Interface (HD-SDI). 3D Cameras (HD) technologies benefits converted to wireless Communication as well. Results High-resolution and Minimal latency images, without restrictive cables.
This report handles the 3D cameras for healthcare market scene based on various parameters like, Type, field and application. 3D camera for healthcare market which provide three types such as time of flight, structured light and stereo vision. On the basis of field, 3D cameras for healthcare market were divided into different aspects such as dentistry, dermatology, gynecology, laparoscopy and others. Applications were considered in different aspects such as Deployment & Integration Services and Support & Maintenance Services. 3D Cameras for Healthcare market finds use in Imaging, Diagnosis, Surgery, Patient Monitoring, pores and texture measurement, pain management (facial expression recognition) and others. 3D Cameras for Healthcare market are forecasted to grow at a CAGR of xx% from 2016 to 2023.
The global market is also classified on the basis of different geographic regions. Americas is the biggest contributor to the global market revenue at xx%, while APAC is a close second at xx% on account of rapidly expanding applications in the developing economies in the region. Europe is third at xx% while RoW is the last at xx%.
Sample Companies profiled in this report are:
- miravex ltd,
- karl storz endoskope,
- intel corporation,
- stemmer imaging ltd
- fujifilm corporation
This was followed by market revenue of various types of automotive IoT market, by region tunneling into the process type present in those regions. Further by bottom up approach the market size was estimated and forecast was done for the required period. The data and supporting insights so mined were validated by primary research process by various manufacturers, distributors, suppliers, regulatory bodies and associations.