Global Artificial Intelligence in Healthcare Market Trends, Applications, Analysis, Growth, and Forecast: 2018 to 2027

MarketResearch.biz delivers in-depth insights on the global artificial intelligence in healthcare market in its upcoming report titled, “Global Artificial Intelligence in Healthcare Market Trends, Applications, Analysis, Growth, and Forecast: 2018 to 2027”. The global artificial intelligence in healthcare market is estimated to register a CAGR of XX% in terms of value during forecast period 2018–2027. The report offers in-depth insights, revenue details, and other vital information regarding the target market, and the various trends, drivers, restraints, opportunities, and threats till 2027. The report offers insightful and detailed information regarding the various key players operating in the market, their financials, supply chain trends, technological innovations, key developments, apart from future strategies, acquisitions & mergers, and market footprint. The global artificial intelligence in healthcare market report has been segmented on the basis of solution, application, technology and region.

Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the humans think. AI is skilled by studying how human brain thinks, and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems. Artificial intelligence (AI) aims to mimic human cognitive functions. AI in healthcare industry is outcome of pattern shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques.

Healthcare is one of the largest and most rapidly growing segments of AI, driven by innovation in clinical research, robotic personal assistants, coupling of medical knowledge with IT and big data analytics. In addition, adoption of AI in research areas, reduced workload and increased quality of care, growing demand for precision medicine, growing number of cross-industry partnerships, aging population, healthcare, the growing usage of smart devices, and the presence of major AI software providers such as IBM Corporation (US), Google Inc. (US) are the factors boosting the demand for artificial intelligence in healthcare globally. High initial capital requirement, difficulty in deployment, concerns regarding privacy and security and state and federal regulations are the factors hindering the growth of global artificial intelligence in healthcare.

The AI technology is leading towards innovation of efficient and inexpensive healthcare solutions. The major technologies involved are natural language processing, machine learning, biometric security, speech recognition and disaster recovery. The companies are collaborating and developing innovative products and solutions for end-users.

The global artificial intelligence in healthcare is segmented on the basis of solution, application, technology and region. On the basis of region, market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. North America AI in healthcare market currently dominates the global market due to increasing focus on precision medicine, strong presence of leading companies engaged in developing AI solutions for healthcare, cross-industry collaborations in this region, growing investments in the field of healthcare AI in this region are driving the growth of the AI in healthcare market in this region.

Global Artificial Intelligence in Healthcare Market Segmentation:

Segmentation on the basis of solution:

• Hardware
• Software
• Service

Segmentation on the basis of application:

• Robot-assisted Surgery
• Virtual Nursing Assistant
• Administrative Workflow Assistance
• Fraud Detection
• Dosage Error Reduction
• Clinical Trial Participant Identifier
• Preliminary Diagnosis
• Others (including drug discovery, medical diagnosis etc.)

Segmentation on the basis of technology:

• Deep Learning
• Querying Method
• Natural Language Processing
• Context Aware Processing

 Segmentation on the basis of region:

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa