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Artificial Intelligence in Healthcare Market to Witness Rapid Development During the Forecast Period 2017-2023

The report on “Artificial Intelligence in Healthcare Market” will help Major Players and the new entrants to understand scrutinize the market in detail. This information will encourage the Major Players to decide their business strategy and achieve proposed business aims.

Artificial intelligence assists the machines to perform any task without human interventions. It uses different algorithms and software that help the machine to inculcate perception and reasoning for various situations. AI is widely applicable in the healthcare sector for various purposes such as drug discovery and precision medicine. In addition, it is used to analyze patient’s medical data, to predict disease onset, and personalize treatment provided to the patient. The global AI market was valued at $1,441 million in 2016, and is estimated to reach at $22,790 million by 2023, registering a CAGR of 48.0% from 2017 to 2023.

The AI market is segmented based on offering, technology, application, end user, and geography. On the basis of offering, the market is divided into hardware, software, and services. By technology, it is classified into deep learning, querying method, natural language processing, and context aware processing. Applications covered in the study include robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. According to end user, the market is categorized into healthcare provider, pharmaceutical & biotechnology company, patient, and payer Geographically, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

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Companies Covered in this Report are:

Welltok, Inc.
Intel Corporation
Nvidia Corporation
Google Inc.
IBM Corporation
Microsoft Corporation
General Vision, Inc.
Enlitic, Inc.
Next IT Corporation
iCarbonX

The market growth is driven by rise in adoption rate of AI systems and delete technological advancements in the AI field. In addition, the ability of these systems to improve patient outcomes, increase in adoption of precision medicine, and increase in need for coordination between healthcare workforce & patients are expected to fuel the market growth. However, lack of standard regulations and guidelines and reluctance among healthcare professionals to adopt AI-based technologies are expected to hinder the market growth.

KEY BENEFITS FOR STAKEHOLDERS
This report offers a detailed quantitative analysis of the current market trends from 2016 to 2023 to identify the prevailing opportunities.
The market estimations provided are based on comprehensive analysis of the key developments in the industry.
In-depth geographical analysis facilitates to analyze the regional market to assist in strategic business planning.
The developmental strategies adopted by key manufacturers are enlisted to understand the competitive scenario of the market

KEY MARKET SEGMENTS

By Offering

Hardware
Software
Service

By Technology

Deep Learning
Querying Method
Natural Language Processing
Context Aware Processing

By Application

Robot-assisted Surgery
Virtual Nursing Assistant
Administrative Workflow Assistance
Fraud Detection
Dosage Error Reduction
Clinical Trial Participant Identifier
Preliminary Diagnosis
Others

By End User

Healthcare Provider
Pharmaceutical & Biotechnology Company
Patient
Payer

By Geography

North America
U.S.
Canada
Mexico
Europe
Germany
France
UK
Italy
Spain
Rest of Europe
Asia-Pacific
Japan
China
Australia
India
South Korea
Taiwan
Rest of Asia-Pacific
LAMEA
Brazil
Turkey
Saudi Arabia
South Africa
Rest of LAMEA

The other players of the artificial intelligence in healthcare market include (companies not profiled in the report):

Shimadzu Recursion Pharmaceuticals, Inc.
Siemens Healthineers
General Electric (GE) Company
Koninklijke Philips N.V.
Cloudmedx, Inc.
Bay Labs, Inc.

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Table of Contents:

CHAPTER 1 INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS
1.3. KEY MARKET SEGMENTS
1.4. RESEARCH METHODOLOGY
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools & models

CHAPTER 2 EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE

CHAPTER 3 MARKET OVERVIEW
3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS
3.2.1. Top investment pockets
3.2.2. Top winning strategies
3.3. PORTERS FIVE FORCES ANALYSIS
3.4. REGULATION AND REIMBURSEMENT SCENARIO
3.5. MARKET DYNAMICS
3.5.1. Drivers
3.5.2. Restraints
3.5.3. Opportunities

Continue….

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