NEW YORK, June 28, 2023 (Globe Newswire) — Reportlinker.com Releases “Market Rating of Artificial Intelligence in Healthcare Markets by Component, Technology, Application, End User and Region” report announced – https://www.reportlinker.com/p06470962/?utm_source=GNW
The global artificial intelligence (AI) market in healthcare is valued at USD 16.47 billion in 2022 and is expected to reach USD 198.32 billion in 2030, growing at It will grow at a CAGR of 36.48%. The market is towing. Increased adoption of AI technology, generation of massive amounts of patient health-related data, increased demand for personalized precision medicine, expanded application of AI in medical imaging and diagnostics, and increased potential for AI-based tools for medicine Due to factors such as the aging population. Recent advances in AI have accelerated due to the impact of the new coronavirus infection, and AI has become an indispensable element in medical care.
With the growing popularity of AI technology in healthcare applications, key market players expanded their product range and focused on product innovation and technology partnerships to meet the growing demand. For example, in 2022 Amazon Web Services will launch Amazon Omics for precision medicine. Amazon Omics uses AI, ML, and deep learning-based algorithms to help healthcare professionals understand patients better during their care. This service is designed to help you identify the most effective treatment or prevention options by efficiently managing complex bioinformatics tasks.
Expanding Applications in Medical Imaging and Medical Diagnosis
Researchers are increasingly looking for new ways to incorporate artificial intelligence into medical imaging. Recently, research institutes and universities are actively working to expand the use of AI in cancer treatment. Due to the COVID-19 pandemic, the diagnosis and screening of diseases such as regular medical examinations and cancer screenings were delayed, leading to the detection of more advanced stages of cancer. Deep learning algorithms have emerged as the preferred approach to analyze radiological images such as CT, MRI, PET and ultrasound, and to address various tasks such as tumor detection, segmentation and disease detection. Multiple studies have demonstrated significant performance improvements for deep learning-based models compared to traditional machine learning algorithms.
Adopting Machine Learning in Medicine
Over the past five years, AI, ML, and data science have come a long way and brought many technological breakthroughs. The combination of high-speed computing, extensive data repositories, and a robust pool of AI experts has fueled the rapid growth of AI tools and technologies in healthcare. As a result, there is a huge demand for AI technologies to become ubiquitous and to revolutionize society by having a large impact. In healthcare, AI is widely used in dermatology, electronic health records (EHR), surgical robotics, pharmaceutical manufacturing, psychiatry, and more. An innovative pre-diagnostic app, her AI dermatologist can identify one of her most dangerous ailments: her skin. cancer. Worldwide, more than 2 people die from this disease every hour.
Government initiatives and regulations
In June 2023, the U.S. government announced an initiative to ensure the secure advancement and implementation of artificial intelligence. In addition, we invite members of the public to actively contribute to the formulation of the government’s AI strategy. Medical professionals are increasingly recognizing the need for the healthcare industry to adopt a proactive approach to AI safety. They stress the importance of developing and implementing measures to ensure transparent adoption of AI in clinical settings. For example, on October 27, 2021, the Food and Drug Administration (FDA) provided specific guidance on the use of AI in medical devices. The FDA, in collaboration with Health Canada and the UK’s Medicines and Healthcare Products Regulatory Agency, has issued guidance outlining the appropriate use of AI and machine learning (ML) in medical devices.
North America dominates
In 2022, AI in the healthcare market was largely dominated by the North America region. This is largely due to the growing use of AI/ML technologies, advances in healthcare IT infrastructure, government initiatives, and the presence of numerous technology giants. The United States is making significant investments in AI/ML, and as a result, these technologies are having a significant impact. The country stands out as a prime destination for many investment deals in AI startups.
US funding levels experienced significant increases in 2020 and 2021. For example, Insitro, a company focused on leveraging machine learning for drug discovery and development, secured his US$400 million in Series C funding in March 2021. The Canadian Pension Plan Investments Board of Directors (CPP Investments) led the funding round, with existing investors including Andreessen Horowitz, T. Rowe Price Associates, Inc., funds and accounts advised by Casdin Capital, and BlackRock. was accompanied by notable contributions from funds and accounts managed by
The United States remains the world leader in AI integration readiness in the public sector with an average score of 85.48 out of 100. The country excels in key areas such as AI vision, AI governance and ethics.
Robotic Assisted Surgery Contributes Significantly to Market Share
The robotic-assisted surgery segment will dominate the market in 2022, accounting for the largest market share during the forecast period. Robotic surgery has integrated AI relatively recently, primarily in imaging and navigation applications. Initially, the focus was on detecting features and assisting surgeons through computer-guided interventions for preoperative planning and intraoperative guidance. This gradual change in surgical practice can be attributed to technological advances in AI-facilitated imaging, navigation, and robotic interventions. Incorporating AI into surgical robotics has several benefits, including AI’s ability to learn from large datasets, identify new trends, and reduce physical stress for surgeons. For example, the da Vinci Surgical System with AI capabilities enables surgeons to perform precise and minimally invasive prostatectomy procedures. AI algorithms aid preoperative planning, identify the optimal approach, and help surgeons navigate complex anatomy during surgery.
Impact of the novel coronavirus disease (COVID-19)
The COVID-19 pandemic has accelerated the acceptance of artificial intelligence in the medical field. AI-powered solutions and tools have the ability to operate quickly, deploy at scale, and adapt to rapidly changing technological environments. Various market players, including start-ups, incumbents, and universities, are actively contributing their skills and services in the AI space. For example, companies like UK-based remote monitoring startup Current Health have helped high-profile institutions such as the Mayo Clinic and Baptist Health during COVID-19. These start-ups are playing a key role in the rapid adoption of digital solutions in the industry, rapidly expanding their operations to meet the growing demand. Technology giants such as Microsoft, Google, Apple, Amazon, and Facebook are working on various initiatives for remote communication between patients and healthcare providers, contact tracing, drug development, and many other capabilities.
Effects of the Russo-Ukrainian War
The war between Russia and Ukraine has shut down many tech and medical organizations. Organizations such as Siemens Healthcare GmbH, IBM Corporation, Nvidia Corporation and Microsoft Corporation have closed their offices and business operations in Russia. More than 30 countries, including Australia, Canada, Norway, Japan and the United States, have imposed sanctions. Siemens AG withdrew from the Russian market due to the Russo-Ukrainian War. The company initiated the process of terminating its industrial business and in May 2022 ceased all industrial business activities, including healthcare.
Status and prospects of major companies
The global AI market in healthcare market is highly competitive, with several established players and new entrants vying for market share. Trends happening in the market include advances in natural language processing and conversational AI, and the integration of electronic health records (EHRs) and wearables. To gain a competitive edge in the market, businesses are automating repetitive tasks, enhancing customer service with chatbots, optimizing supply chain management, and forecasting to make more informed decisions. Emphasis on adoption of analytics.
For example, in 2023 Epic Systems Corporation announced a partnership with Microsoft Corporation, primarily to integrate Azure OpenAI services into Epic’s electronic health record (EHR) software. The partnership aims to increase efficiency for both physicians and back office professionals. Initially, Epic will utilize his GPT-4 AI language model in his OpenAI to help healthcare professionals create message responses to patients and analyze medical records to identify trends. Emphasis on
Read the full report: https://www.reportlinker.com/p06470962/?utm_source=GNW
About Report Linker
ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you can instantly get all the market research you need in one place.
__________________________
