Primary Care Physicians to Drive Growth in Handheld Ultrasound Market
By MedImaging International staff writers Posted on 08 May 2019 |

Image: The Vscan portable handheld ultrasound (Photo courtesy of GE Healthcare).
The global market for handheld ultrasound is projected to surpass USD 400 million by 2023. In 2018, sales of handheld ultrasound accounted for less than 2% of the USD 6.9 billion global ultrasound equipment market, with the relatively high cost and limited performance of early generation handhelds limiting growth. However, over the years, there has been a consistent improvement in products, accompanied by innovations by new market entrants, thereby unlocking the full value of handheld ultrasound for experienced as well as new users. An expanding customer base, coupled with increased availability of affordable handheld scanners, is expected to boost the global sales of handheld ultrasound by over 50% in 2019.
These are the latest findings of Signify Research (Cranfield, UK), an independent supplier of market intelligence and consultancy to the global healthcare technology industry.
Handheld ultrasound has gained some acceptance in procedural ultrasound, including vascular access and anesthesia, and more recently among MSK specialists who have begun using it for in-office exams, intra-operative imaging and in-field medicine. In 2018, emergency medicine was the largest market for handheld ultrasound and was worth around USD 15 million, but represented only 10% of the total ultrasound system sales, with compact and cart-based systems accounting for a majority of the market share. Over the coming years, handhelds are expected to gain market share while compact systems and, to a lesser extent, cart-based systems are likely to remain the preferred form factors.
The increasing use of handheld ultrasound in traditional point-of-care ultrasound (POCUS) markets is being further boosted by office-based physicians in various medical specialities, such as urology, gastroenterology and vascular. In-office specialists are using handheld ultrasound for quick exams and initial screening, usually as an adjunct to the more powerful cart-based systems in their hospital departments.
Primary care remains a largely untapped market for handheld ultrasound and is potentially the largest opportunity. Currently, the use of handheld ultrasound in primary care is limited mainly to rural areas, initially in the developed countries and more recently in low- and middle-income countries. Handheld ultrasound is playing an essential role in low- and middle-income countries in expanding patient access to medical imaging, with cardiac screening, pregnancy screening and diagnosis of respiratory and abdominal complaints being some of the main uses. Moreover, over the last couple of years, the price of handheld scanners has declined significantly, making them a cost-effective option for most primary care physicians. Going forward, the uptake of handheld ultrasound in urban primary care is expected to increase, initially in the developed markets such as the U.S, Japan and Western Europe.
However, most primary care physicians lack formal ultrasound training and reimbursement is not widely available. General practitioners in several European countries are required to be certified to receive reimbursement for performing ultrasound scans. In order to address the lack of skills, vendors of handheld scanners are making efforts to simplify ease-of-use in terms of the device as well as through integrated tele-ultrasound services that connect novice users with experts at separate locations over two-way audio and video calls. The latest generation of handheld scanners features several presets for common exam types, and also applies artificial intelligence (AI) to enable physicians without any prior scanning experience to capture high quality images. AI-guided ultrasound helps users to identify body parts and correctly position the transducer for maximizing the image quality during exams.
Presently, the use of AI in ultrasound is at an early stage and AI solutions with broader functionality that can support the detection and diagnosis of multiple conditions for a body area are expected in the near future. Similarly, the first handheld scanners with AI for providing support during the image acquisition process are expected to launch over the next year or two. The advent of smart devices with AI for both image acquisition and interpretation will drive the widespread use of handheld ultrasound in primary as well as multiple other care settings. Going forward, AI is expected to play an increasingly important role in image interpretation by providing physicians with automated measurements, anomaly detection and diagnostic decision support.
However, the global market for handheld ultrasound faces some key challenges, such as limited reimbursement in most countries, credentialing, data security and quality assurance (both for image capture and interpretation). Additionally, although handheld ultrasound devices are ready for mainstream adoption, several institutions lack the IT infrastructure required to provide seamless patient care between office and hospital settings. These challenges need to be properly addressed and overcome in order for handheld ultrasound to realize its full potential.
Related Links:
Signify Research
These are the latest findings of Signify Research (Cranfield, UK), an independent supplier of market intelligence and consultancy to the global healthcare technology industry.
Handheld ultrasound has gained some acceptance in procedural ultrasound, including vascular access and anesthesia, and more recently among MSK specialists who have begun using it for in-office exams, intra-operative imaging and in-field medicine. In 2018, emergency medicine was the largest market for handheld ultrasound and was worth around USD 15 million, but represented only 10% of the total ultrasound system sales, with compact and cart-based systems accounting for a majority of the market share. Over the coming years, handhelds are expected to gain market share while compact systems and, to a lesser extent, cart-based systems are likely to remain the preferred form factors.
The increasing use of handheld ultrasound in traditional point-of-care ultrasound (POCUS) markets is being further boosted by office-based physicians in various medical specialities, such as urology, gastroenterology and vascular. In-office specialists are using handheld ultrasound for quick exams and initial screening, usually as an adjunct to the more powerful cart-based systems in their hospital departments.
Primary care remains a largely untapped market for handheld ultrasound and is potentially the largest opportunity. Currently, the use of handheld ultrasound in primary care is limited mainly to rural areas, initially in the developed countries and more recently in low- and middle-income countries. Handheld ultrasound is playing an essential role in low- and middle-income countries in expanding patient access to medical imaging, with cardiac screening, pregnancy screening and diagnosis of respiratory and abdominal complaints being some of the main uses. Moreover, over the last couple of years, the price of handheld scanners has declined significantly, making them a cost-effective option for most primary care physicians. Going forward, the uptake of handheld ultrasound in urban primary care is expected to increase, initially in the developed markets such as the U.S, Japan and Western Europe.
However, most primary care physicians lack formal ultrasound training and reimbursement is not widely available. General practitioners in several European countries are required to be certified to receive reimbursement for performing ultrasound scans. In order to address the lack of skills, vendors of handheld scanners are making efforts to simplify ease-of-use in terms of the device as well as through integrated tele-ultrasound services that connect novice users with experts at separate locations over two-way audio and video calls. The latest generation of handheld scanners features several presets for common exam types, and also applies artificial intelligence (AI) to enable physicians without any prior scanning experience to capture high quality images. AI-guided ultrasound helps users to identify body parts and correctly position the transducer for maximizing the image quality during exams.
Presently, the use of AI in ultrasound is at an early stage and AI solutions with broader functionality that can support the detection and diagnosis of multiple conditions for a body area are expected in the near future. Similarly, the first handheld scanners with AI for providing support during the image acquisition process are expected to launch over the next year or two. The advent of smart devices with AI for both image acquisition and interpretation will drive the widespread use of handheld ultrasound in primary as well as multiple other care settings. Going forward, AI is expected to play an increasingly important role in image interpretation by providing physicians with automated measurements, anomaly detection and diagnostic decision support.
However, the global market for handheld ultrasound faces some key challenges, such as limited reimbursement in most countries, credentialing, data security and quality assurance (both for image capture and interpretation). Additionally, although handheld ultrasound devices are ready for mainstream adoption, several institutions lack the IT infrastructure required to provide seamless patient care between office and hospital settings. These challenges need to be properly addressed and overcome in order for handheld ultrasound to realize its full potential.
Related Links:
Signify Research
Latest Industry News News
- GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
- Patient-Specific 3D-Printed Phantoms Transform CT Imaging
- Siemens and Sectra Collaborate on Enhancing Radiology Workflows
- Bracco Diagnostics and ColoWatch Partner to Expand Availability CRC Screening Tests Using Virtual Colonoscopy
- Mindray Partners with TeleRay to Streamline Ultrasound Delivery
- Philips and Medtronic Partner on Stroke Care
- Siemens and Medtronic Enter into Global Partnership for Advancing Spine Care Imaging Technologies
- RSNA 2024 Technical Exhibits to Showcase Latest Advances in Radiology
- Bracco Collaborates with Arrayus on Microbubble-Assisted Focused Ultrasound Therapy for Pancreatic Cancer
- Innovative Collaboration to Enhance Ischemic Stroke Detection and Elevate Standards in Diagnostic Imaging
- RSNA 2024 Registration Opens
- Microsoft collaborates with Leading Academic Medical Systems to Advance AI in Medical Imaging
- GE HealthCare Acquires Intelligent Ultrasound Group’s Clinical Artificial Intelligence Business
- Bayer and Rad AI Collaborate on Expanding Use of Cutting Edge AI Radiology Operational Solutions
- Polish Med-Tech Company BrainScan to Expand Extensively into Foreign Markets
- Hologic Acquires UK-Based Breast Surgical Guidance Company Endomagnetics Ltd.
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreMRI
view channel
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read moreUltrasound
view channel
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read more
Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
Type 2 diabetes is recognized as an autoimmune inflammatory disease, where chronic inflammation leads to alterations in pancreatic islet microvasculature, a key factor in β-cell dysfunction.... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more