According to our latest market study on “Multimodal Image Fusion Software Market Forecast to 2028 – COVID-19 Impact and Global Analysis – by Type and Application,” the market was valued at US$ 298.29 million in 2020 and it is projected to reach US$ 552.30 million by 2028; it is expected to grow at a CAGR of 8.1% from 2021 to 2028.

Medical image fusion is the method of combining different images from various imaging modalities to create a merged image with a vast amount of detail that can be used in clinical settings. Medical diagnosis relies heavily on imaging technology. Clinical diagnosis needs a significant amount of data. However, single-modal medical images provide insufficient information to meet the needs of clinical diagnosis; hence, medical image fusion research has become a hot topic. Single-mode fusion and multimodal fusion are two types of medical image fusion. Many researchers are studying multimodal fusion because single-modal fusion has limitations in terms of the information it can provide. Computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and single-photon emission computed tomography (SPECT) are a few of the imaging techniques that have provided clinicians with knowledge about the structural features, soft tissue, and other aspects of the human body. Thus, different imaging methods maintain different characteristics, and different sensors acquire different imaging data for the same component. The aim of the fusion is to improve contrast, fusion efficiency, and overall perception.

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Multimodal Image Fusion Software Market Segmentation:  

The multimodal image fusion software market is segmented on the basis of type, application, and geography. Geographically, North America held the largest share of the market in 2020, followed by Europe and Asia Pacific. Further, the market in Asia Pacific is projected to witness the highest growth rate during the forecast period. Based on type, the market is bifurcated into preclinical multimodal imaging and clinical multimodal imaging. The clinical multimodal imaging segment represented a larger share of the overall market in 2020. In terms of application, the multimodal image fusion software market is segmented into hospitals, diagnostic centers, and academic & research institutes. In 2020, the hospitals segment accounted for the largest market share.

 Impact of COVID-19 Pandemic on North America Multimodal Image Fusion Software Market

North American countries are known for the highest acceptance for technologies, which boosts the pace of new technological developments in these countries. Rapid technological developments can be attributed to the favorable government policies to boost innovation and reinforce infrastructure capabilities. Thus, any hindrance on industries directly restrains the economic development in the region. The US is the world's worst-affected country due to the COVID-19 outbreak, thus leading to the sudden stands still across all the industries present in the region. However, the healthcare sector in many North American countries has remained unaffected during the pandemic. In addition, with the rising COVID-19 confirmed cases across the US, Canada, and Mexico, the high prevalence of diseases other than other COVID-19 propel the demand for all healthcare equipment and solutions. As of 2020, there were ~5.8 million Americans suffering from Alzheimer’s disease. Thus, the COVID-19 pandemic has a negligible impact on the demand for multimodal image fusion software in the region.

 Multimodal Image Fusion Software Market Key Players :

aycan Medical Systems, LLC; Brainlab AG; Bruker Corporation; FUJIFILM VisualSonics, Inc.; INFINITT North America Inc.; Mediso Ltd; PerkinElmer, Inc.; Carl Zeiss Meditec; MR Solutions Ltd.; and Intrasense SA are among the major companies operating in the multimodal image fusion software market.

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