Analyst Insights and Signify Premium Insights

This series of Insights focuses on the applications of general AI solutions. This is a precursor to a more in-depth analysis of Signify Research’s Generative AI Market Intelligence Service and this is our third instalment of the series. As you may remember from the first Insight, the care network concept was introduced with three stakeholders: the patient, provider and payer.

Philips started the year with a bang with its shock announcement that it was withdrawing from the US market several of its sleep and respiratory solutions (notably from its Philips Respironics branded portfolio).

The global fetal monitoring market reached $190 million in 2023 and is forecast to rise to $230 million in 2028. This article provides a brief snapshot of some of these major trends.

Explore the landscape of Generative AI in Healthcare through an engaging interview between Alan Stoddart, Signify Premium Insights Generative AI Editor, and Vlad Kozynchenko, Senior Market Analyst and report author at Signify Research. This conversation covers crucial aspects of the Market.

Signify Research explores the drivers and barriers related to deploying ‘Digital Twin’ software in healthcare environments, as well as the market dynamics and projected growth for different approaches that can be taken.

Most commercially successful vendors within the medical imaging AI market have targeted the image analysis component of the radiology chain (see figure below). This is unsurprising, as image analysis represents the proportion of the chain where most clinical impact can be asserted, opening the doors to impacting clinical guidelines, gaining reimbursement and improving patient outcomes.

Growth forecasts for DBT and 2D mammography systems, competitive market information, breast AI market sizing and forecasts, breast AI and mammography product trends.

To keep you informed of what lies ahead for 2024, the Medical Imaging team has put together their top ten predictions for the year into an infographic. These predictions are the basis of a more in-depth insight available through our SPI Medical Imaging service. You would usually require a subscription (or be on a trial) to access the Signify Premium Insights, but we will be offering this as a complimentary download article. 

 The Clinical Care market has seen a plethora of market trends in recent years with the COVID-19 pandemic having the pinnacle effect on growth dynamics and opportunities in most markets. Component and supply issues subsided, and product demand started to rebalance in 2023, as the market adjusted to the newer way in which healthcare is provided. As we head into 2024, many Clinical Care vendors will be seeking opportunities to maximise on the healthcare reset in many regions. This insight discusses the top five trends Signify Research predicts for the Clinical Care market in 2024.

Since the pandemic, the teleradiology market has experienced re-vitalised growth amid a strained global economic recovery.  The total teleradiology market (reading services and IT revenue) grew over 21% YOY in 2022 to $2.1bn. As significant influences, such as radiologist shortages, continued reimbursement cuts, innovation, and technology adoption propel the market forward, the future seems bright. By 2027, Signify Research forecasts the total teleradiology market will hit over $4.3bn and is expected to perform over 173k reads.  

Our new video content provides our expert insights through ever more accessible forms. As usual these market insights will highlight our Analysts takes on the developments within the healthcare tech arena as they conduct their market intelligence research.

While the spotlight in 2023 shone on developments around Generative Artificial Intelligence (AI), away from the limelight a quiet revolution in AI was taking place, which promises to transform the way we diagnose, manage, and treat cardiovascular diseases, the world’s leading cause of death. Signify Research has just released a deep-dive qualitative analysis of developments around the use of AI to analyse and interpret electrocardiograms (ECGs), one of the world’s most ubiquitous diagnostic tests for cardiac disease.