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Artificial Intelligence In Ultrasound Imaging Market Will Grow At Highest Pace



Ultrasound imaging uses high-frequency sound waves to examine internal body structures like tendons, muscles, joints, vessels and internal organs. With Advancements in machine learning and deep learning, artificial intelligence is being incorporated into ultrasound imaging to help radiologists and sonographers increase efficiency and accuracy. AI in ultrasound imaging helps in automated anatomical structure detection, classification and semantic segmentation. It also assists in automated measurement of organs and quantification of abnormalities to aid diagnosis. This reduces diagnostic time and workload on radiologists allowing them to focus on critical cases.

The Global Artificial Intelligence in Ultrasound Imaging Market is estimated to be valued at US$ 972.1 Mn in 2024 and is expected to exhibit a CAGR of 9.9% over the forecast period 2024 to 2031.

Key Takeaways

Key players operating in the Artificial Intelligence in Ultrasound Imaging are NVIDIA Corporation, Intel Corporation, IBM, EchoNous, Inc., Microsoft, General Vision Inc., GENERAL ELECTRIC COMPANY, Johnson & Johnson Services, Inc., Siemens Healthcare Private Limited, Medtronic, CloudMedx Inc., Agfa-Gevaert Group, Butterfly Network, Inc., Imagia Cybernetics Inc., Enlitic, Inc., Micron Technology, Inc., and SAMSUNG.

The rapidly Artificial Intelligence in Ultrasound Imaging Market Size geriatric population and rising prevalence of chronic diseases like cardiovascular diseases, cancer etc. where ultrasound imaging plays a vital role in diagnosis and treatment monitoring has been fueling the demand for AI-based ultrasound imaging systems. Almost all major ultrasound equipment manufacturers are actively working towards developing AI-powered systems with the aim to enhance workflow efficiency and clinical outcomes.

Technological advancements like adoption of deep learning algorithms, GPU computing, transfer learning etc. has enabled creation of large annotated ultrasound imaging datasets which is crucial for training AI models. AI models trained on large curated datasets are showing high degrees of accuracy in various ultrasound applications like fetal ultrasound, echocardiography, abdominal ultrasound etc. Startups are also emerging with disruptive solutions focused on democratizing AI ultrasound with affordable portable devices and cloud/app-based analysis.

Market Trends

1) Multi-vendor platform and cloud-based solutions: Major original equipment manufacturers are partnering with AI specialists to offer cloud-based platforms that can work with ultrasound machines from various brands for improved accessibility and scalability.

2) AI applications for non-experts: Startups are developing intuitive AI applications targeted at community healthcare workers and paramedics without advanced ultrasound training to enable rapid triage and detection of life-threatening conditions like pneumonia in remote populations.

Market Opportunities

1) Enhancing patient engagement with AI: AI can help develop innovative apps and technologies for patients to access ultrasound reports, participate in treatment management and make more informed health decisions.

2) Integrating ultrasound imaging with other modalities: AI allows combining ultrasound imaging data with information from CT, MRI scans to deliver multi-modality disease diagnosis with improved accuracy compared to individual modalities alone. This presents substantial growth opportunity

Impact of COVID-19 on Artificial Intelligence In Ultrasound Imaging Market Growth

The COVID-19 pandemic impacted the Artificial Intelligence In Ultrasound Imaging market in the initial months. Restrictions on non-emergency medical procedures led to decline in demand for ultrasound imaging devices. Supply chain disruptions and shutdowns further restricted production and availability of systems. However, with lifting of lockdowns, the demand is recovering steadily. Hospitals and clinics are now focusing on resuming regular healthcare services while implementing necessary safety protocols. Teleultrasound is seeing increased adoption to enable remote diagnosis and consultations during the pandemic. AI assisted imaging solutions help radiologists and sonographers enhance efficiency by automating routine tasks. This allows them to focus more on COVID-19 cases without compromising on other cases. Going forward, AI will play a crucial role in pandemic management by enabling remote patient monitoring and triaging. Healthcare providers are also realizing the importance of AI for better preparedness against future health crises.

The United States accounts for the largest share of the Artificial Intelligence In Ultrasound Imaging market globally. Advanced healthcare infrastructure, substantial investments in medical AI by tech giants, and presence of major market players have boosted adoption of AI imaging solutions in the country. Europe is the second largest regional market led by developed markets like Germany, France and United Kingdom. In Asia Pacific region, China dominates due to large patient pool and government initiatives to modernize healthcare through digital technologies. India and other Southeast Asian countries are also emerging as high potential markets. Middle East and Africa region is expected to offer lucrative opportunities for vendors over the coming years backed by increasing healthcare expenditure in Gulf countries. Latin America will witness steady demand driven by economic development in Brazil and Mexico.

North America is currently the fastest growing regional market for Artificial Intelligence in Ultrasound Imaging. Rapid technological advancements and innovation by American companies strongly position the region for continued leadership. Active funding from public and private bodies encourages research and development of next-gen AI imaging solutions. The strong presence of prominent market players and their increased investments in expanding capabilities further augment regional market growth. Meanwhile, Asia Pacific will witness the highest CAGR over the forecast period. This is attributed to rising healthcare investments, growing focus on quality care and improving access in major Asian countries like China and India.

The future success of Artificial Ultrasound Imaging market will rely on continued integration of AI technologies into clinical workflow. Development of platforms combining automated analysis, cloud connectivity, remote access and computer-aided diagnosis will drive assimilation. Vendors focusing on privacy and security of patient data will have an edge in gaining confidence of providers and patients. Personalization of diagnostic and treatment decisions based on AI insights will boost clinical effectiveness over the long term. Wider application of tele-ultrasound for virtual consultations indicates strong outlook.

  

About Author:

Alice Mutum is a seasoned senior content editor at Coherent Market Insights, leveraging extensive expertise gained from her previous role as a content writer. With seven years in content development, Alice masterfully employs SEO best practices and cutting-edge digital marketing strategies to craft high-ranking, impactful content. As an editor, she meticulously ensures flawless grammar and punctuation, precise data accuracy, and perfect alignment with audience needs in every research report. Alice's dedication to excellence and her strategic approach to content make her an invaluable asset in the world of market insights.

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