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GLOBAL PRECLINICAL IMAGING MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2024-2031)

Global Preclinical Imaging Market, By Product (CT Imaging, MRI Imaging, PET/SPECT Imaging, Multi-modal Imaging, Optical Imaging, Ultrasound Imaging, Photoacoustic Imaging, Reagents, Services), By Application (Research and Development, Drug Discovery), By End User (Pharma and Biotech Companies, Research Institutes, Others), By Geography (North America, Europe, Asia Pacific, Latin America, Middle East and Africa)

  • Published In : Feb 2024
  • Code : CMI6634
  • Pages :172
  • Formats :
      Excel and PDF
  • Industry : Medical Devices

Global Preclinical Imaging Market Size and Trends

Global preclinical imaging market was valued at US$ 4.25 Bn in 2023 and is expected to reach US$ 6.39 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031.

Global Preclinical Imaging Market- Trends

  • Increasing popularity of positron emission tomography (PET) imaging: Increasing popularity of PET imaging is significantly impacting the global preclinical imaging market. Positron emission tomography or PET imaging has been gaining widespread acceptance over the forecast period for its high sensitivity and ability to provide functional or metabolic information at the molecular and cellular levels. PET imaging allows researchers to uncover biological processes in living subjects and gain valuable insights into the onset and progression of diseases. With the rising number of drug discovery and development activities globally, preclinical PET imaging is being extensively used in evaluating drug distribution and pharmacokinetics as well as detecting drug targets in small living subjects like mice and rats during various preclinical research phases.
  • Adoption of artificial intelligence (AI) and cloud technologies: Adoption of artificial intelligence and cloud technologies is having a significant impact on the global preclinical imaging market. These advanced technologies are enabling more sophisticated and powerful preclinical imaging systems that can generate high quality images and perform complex analyses. AI and machine learning algorithms are being integrated into preclinical imaging devices. This allows for automated image capture, enhanced image reconstruction, more accurate segmentation of anatomical structures, and enhanced detection of abnormalities or differences in preclinical studies over time.
  • Miniaturization of imaging systems: The rapid advancement in miniaturization of imaging systems has significantly influenced the preclinical imaging market over the forecast period. The development of highly miniaturized and portable imaging devices for preclinical applications has opened up many new opportunities for life sciences research. Devices such as micro-CT, micro-MRI and micro-PET scanners that can fit on a laboratory bench top have greatly boosted the adoption of advanced imaging modalities among small labs and research institutes. The availability of compact yet powerful tabletop preclinical imaging systems with high resolution capabilities have made it possible to conduct complex small animal experiments involving molecular imaging and longitudinal studies even at institutes with limited infrastructure for larger whole body imaging devices. This has led to wider dissemination of imaging technologies among research communities.

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