Precise Medicine Is Turning Out To Be The Game-Changer For The Artificial Intelligence In Healthcare Sector

Press Release : February 08, 2018
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According to Goldstein Research, adoption of artificial intelligence in the field of drug discovery, medical imaging and genomics providing important insights related to patient data monitoring, research and risk analysis. The huge healthcare data generation resulted in growing demand for AI technology in healthcare sector. Global Artificial Intelligence in Healthcare Sector market segmentation includes technologies such as natural language processing, machine learning, virtual personal assistant, querying method and context aware processing. Artificial intelligence can strongly manipulate the manufacturing process by collecting real time data by using advanced technology like actuators, sensors and by collecting data over the internet connection. Global Artificial Intelligence in Healthcare Sector market is majorly growing in emerging economies which are considerably more willing to connect with the new technologies such as artificial intelligence.
Market Segmentation
On the basis of our in-depth analysis, Global Big Data Market can be segmented as follows:
• Based on Technology
o Natural Language Processing
o Machine Learning
o Virtual Personal Assistant
o Robotics
o Querying Method
o Context Aware Processing
• Based on Applications
o Patient Data and Risk Analysis
o Lifestyle Management and Monitoring
o Precision Medicine
o Robot Assisted surgery
o In-Patient Care and Hospital Management
o Medical Imaging and Diagnosis
o Drug Discovery
o Apps and Wearables
o Virtual Assistant
o Research & Development
• Based on Products
o Hardware
o Software
• Based on Services
o Installation
o Training
o Support and Maintenance
• On the basis of region
o North America (US, Canada) {Market Share (%), Market Size (USD Billion, Adoption Rate (%)}
o Europe (UK, France, Italy, Germany, Spain, Hungary, Sweden, Russia, Poland and Rest of Europe) {Market Share (%), Market Size (USD Billion), Adoption Rate (%)}
o Middle East and Africa (GCC Countries, North Africa, South Africa and Rest of Middle East & Africa) {Market Share (%), Market Size (USD Billion), Adoption Rate (%)}
o Latin America (Brazil, Mexico and Rest of Latin America) {Market Share (%), Market Size (USD Billion), Adoption Rate (%)}
o Asia Pacific (China, Japan, India, Singapore, South Korea, Australia, New Zealand and Rest of Asia-Pacific) {Market Share (%), Market Size (USD Billion), Adoption Rate (%)}
o Rest of the World {Market Share (%), Market Size (USD Billion), Adoption Rate (%)}

“Global Artificial Intelligence in Healthcare Sector Market Outlook 2024” contains detailed overview of the global artificial intelligence in healthcare sector market. On the basis of our in-depth analysis, market can be segmented in terms of market segmentation by technology type, by application type, by product type and by services.
Further, for the in-depth analysis, Global Artificial Intelligence in Healthcare Sector Market Report encompasses the industry growth drivers, market challenges, risk analysis, market attractiveness, BPS (Base Point Scale) analysis, Porter’s five force model and SWOT analysis. This market report also includes competitive outlook of some of the major players profiling of companies such as IBM Corp., Zephyr Health, Butterfly Network, Jvion, Google, Careskore, Atomwise Inc. and Baby Labs Inc, etc. The company profiles include business strategy, geographical revenue distribution, major information of the companies which encompasses business outlook, products, services and industries catered, financial analysis of the company and recent developments. Overall, the report represents the global artificial intelligence in healthcare sector market trends along with market forecast that will help industry consultants, technology providers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.
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