NEW YORK, May 31, 2017 /PRNewswire/ --

Highlights

• Growing usage of big data in healthcare industry and imbalance between health workforce and patients is expected to drive the growth of the AI in healthcare market.
• The artificial intelligence (AI) in healthcare market was valued at USD 667.1 million in 2016 and is expected to reach USD 7,988.8 million by 2022, at a CAGR of 52.68% between 2017 and 2022.
• Faster calculations and lesser power consumption are the factors driving the growth of the hardware market for AI in healthcare
• Hardware—which includes GPUs, DSPs, FPGAs, and neuromorphic chips—is expected to grow at the highest rate in the offering segment of AI in healthcare.
• Owing the factors of Natural Language Processing (NLP) to handle structured and unstructured data are driving the NLP market in AI in healthcare market.
• North America to witness the highest growth rate in the market for AI in healthcare

Growing usage of big data in healthcare industry and imbalance between health workforce and patients is expected to drive the growth of the AI in healthcare market
The artificial intelligence (AI) in healthcare market was valued at USD 667.1 million in 2016 and is expected to reach USD 7,988.8 million by 2022, at a CAGR of 52.68% between 2017 and 2022. The growth of this market is driven by the growing usage of Big Data in healthcare industry, ability of AI to improve patient outcomes, imbalance between health workforce and patients, reducing the healthcare costs, growing importance on precision medicine, cross-industry partnerships, and significant increase in venture capital investments in AI in healthcare domain. However, reluctance among medical practitioners to adopt AI-based technologies and ambiguous regulatory guidelines for medical software are the major factors restraining the growth of the AI in healthcare market.

Faster calculations and lesser power consumption are the factors driving the growth of the hardware market for AI in healthcare
Hardware which includes GPUs, DSPs, FPGAs, and neuromorphic chips is expected to grow at the highest rate in the offering segment of AI in healthcare. The GPU, DSP, and FPGA are widely used to implement the deep learning algorithm. In terms of throughput, GPU is faster than FPGA; whereas in the case of power efficiency, FPGA is better than GPU. Keeping these factors in mind, the AI providers choose the hardware accordingly.

Owing the factors of Natural Language Processing (NLP) to handle structured and unstructured data are driving the NLP market in AI in healthcare market
NLP currently holds the largest market share among the AI technologies. This demand has grown since the companies have started to structure the clinical data and find interpretation from them. Moreover the growing usage of internet and connected devices along with huge volume of patients data driven the growth of this market.

North America to witness the highest growth rate in the market for AI in healthcare
North America is expected to be the largest and fastest-growing market for AI in healthcare during the forecast period. The regulatory mandates for the use of Electronic Health Records, increasing focus on precision medicine, strong presence of leading companies engaged in developing AI solutions for healthcare, and large number of cross-industry collaborations and growing investments in the field of AI in healthcare are driving the growth of the market in North America.

The breakup of the profile of primary participants has been given below:
- By Companies: Tier 1 - 40 %, Tier 2  - 20%, and Tier 3 - 40%
- By Designation: C-level Executives - 40%, Directors - 40%, and Others - 20%
- By Region: North America - 40%, Europe - 40%, APAC - 10%, and RoW - 10%

This report provides valuable insights into the ecosystem of the AI in healthcare market including the software companies, and chipset and medical solution providers. The major players in the AI in healthcare market are IBM Corporation (US), Intel Corporation (US), Google, Inc. (US), NVIDIA Corporation (US), Microsoft Corporation (US), iCarbonX (China), Next IT Corp. (US), CloudMedx Inc. (US), Carescore (US), Atomwise, Inc. (US), Zephyr Health, Inc. (US), Sentirian (US), BabyLabs, Inc. (US), Siemens Healthineers GmbH (Germany), Johnson & Johnson (US), Welltok, Inc. (US), General Vision, Inc. (US), Enlitic, Inc. (US), Recursion Pharmaceuticals (US), General Electric Company (US), Stryker Corporation (US), Deep Genomics, Inc. (Canada), Medtronic Plc. (Ireland), Koninklijke Philips N.V. (Netherlands), and Oncora Medical, Inc. (US).

Research Coverage:
The AI in healthcare market has been segmented on the basis of offering, technology, application, end-user industry, and geography. On the basis of offering, the market has been further segmented into hardware, software, and services. The AI in healthcare market is further segmented on the basis of technology into deep learning, querying method, NLP, and context aware processing. The market has been segmented on the basis of application into patient data and risk analysis lifestyle management and monitoring, precision medicine, in-patient care and hospital management, medical imaging and diagnosis, drug discovery, virtual assistant, wearables, and research. On the basis of geography, the market has been segmented into North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW).

Reasons to Buy the Report:
The report would help the market leaders/new entrants in the AI in healthcare market in the following ways:

1. This report segments the AI in healthcare market comprehensively and provides the closest approximations of the market sizes for the overall market and subsegments across the different applications and regions.

2. This report helps stakeholders to understand the pulse of the AI in healthcare market and provides them information on key market drivers, restraints, challenges, and opportunities.

Read the full report: http://www.reportlinker.com/p04897122/Artificial-Intelligence-in-Healthcare-Market-by-Offering-Technology-Application-End-User-Industry-and-Geography-Global-Forecast-to.html

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