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/PRNewswire/ The "Global Molecular Imaging Procedures Growth Opportunities" report has been added to ResearchAndMarkets.com s offering. This research. ....
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Global femtech market estimated to hit $1.15 billion by 2025, finds Frost & Sullivan SANTA CLARA, Calif., June 2, 2021 /PRNewswire/ Frost & Sullivan's recent analysis on the global femtech ....
Share this article Share this article ResearchAndMarkets.com s offering. This research study analyses the impact of the COVID-19 pandemic on women s healthcare and focuses on the different segments in women s health. It identifies new untapped avenues of growth. With the menstrual, fertility, and pregnancy care segments being saturated with apps, software, devices, and services, the industry is currently shifting focus towards the unaddressed segments of fibroids, thyroid issues, PCOS, endometriosis, pelvic health, pre-menopause, and menopausal care. In an era of precision medicine and precision health, women deserve to receive gender-specific healthcare. The side-effects of the pandemic, like prolonged homestay induced by lockdowns, have disproportionately impacted women who have experienced a higher burden of household chores, increased anxiety and depression, etc., leading to a dramatic increase in women s mental health issues. ....
Share this article Share this article OYSTER BAY, N.Y., May 13, 2021 /PRNewswire/ Between 2021 and 2026, the number of IoT connections will nearly triple to 23.6 billion. Each new connection represents an opportunity to leverage Artificial Intelligence (AI) and Machine Learning (ML), and TinyML technology will be pivotal in seizing that opportunity. In its new whitepaper, TinyML: The Next Big Opportunity in Tech, global tech market advisory firm ABI Research identifies the six key benefits of TinyML, offers strategic recommendations to vendors and end users, and explains why the TinyML market will grow from 15.2 million shipments in 2020 to 2.5 billion in 2030. The proliferation and democratization of AI has fueled the growth of Internet of Things (IoT) analytics. Data collected from IoT devices are used to train Machine Learning (ML) models, generating valuable new insights into the IoT overall. These applications require powerful and expensive solutions tha ....