Global Cognitive Computing and Artificial Intelligence Systems Market Trends, Technologies, Innovations, Business Overview, Forecast 2019-2025

Global Cognitive Computing and Artificial Intelligence Systems Market Forecast 2019-2025 Report provides an in-depth research on the fast-evolving Cognitive Computing and Artificial Intelligence Systems Market. The Competitive analysis of the leading companies has been highlighted in the report along with the regional overview & global outlook of the market till 2025.

Artificial intelligence (AI) and cognitive technologies have gained significant traction and have been more widely adopted in recent years. Increased adoption of cognitive and AI platforms can be attributed to their wide application potential across the healthcare industry, including patients and hospitals. Major market players such as IBM, Microsoft and Google have made significant investments in finding healthcare uses for cognitive computing and providing a platform for various start-up firms that create specialized applications.

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The cognitive healthcare industry represents a new partnership between human beings and technology that has the potential to transform healthcare on a global scale. Cognitive systems that understand, reason and learn are assisting people expand their knowledge base, improve their productivity and deepen their expertise. This has proven extremely useful in various areas of the healthcare industry. With the increasing integration of cognitive computing, users can now see health data that were previously inaccessible which can in turn can have a great impact on the healthcare industry by greatly improving patient care.

Humans generate an enormous amount of health-related data. This data comes from a wide variety of sources, such as personal fitness trackers, mobile apps, electronic medical records, as well as genomic and clinical research. The development of AI and cognitive computing platforms can avoid the discarding and wasting of data for the majority of patients.

Increases in the processing power and capabilities of AI systems and the dearth of skilled healthcare professionals are expected to drive market growth. Whereas, limitations of AI decision-making and limited acceptance from healthcare professionals due to risk of injury and misinterpretation are expected to restrain the market growth. Conversely, application of AI for novel surgeries and screening in conjunction with an untapped market in developing regions offer lucrative opportunities for market expansion.

The market for cognitive computing and AI in healthcare is segmented based on type of offering, technology, application, end user and region. The market by type of offering is classified into hardware, software and services. Whereas, based on technology, the market is classified natural language processing, context aware processing, deep learning and querying method.

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Further, based on application the market is categorized into robot assisted surgery, virtual nursing assistants, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis and others. Moreover, based on end users, the market is divided into healthcare providers, pharmaceutical and biotechnology companies, patients and payers.

Software generated the highest revenue in the offering segment with xx in revenue in 2016 and is expected to reach xx by 2022, at a CAGR of xx from 2017-2022. The hardware offering segment is expected to increase at the highest growth rate at a CAGR of xx from 2017- 2022. In addition, natural language processing generated the highest revenue in the technology segment with revenue of xx in 2016 and is expected to reach xx by 2022 at a CAGR of xx from 2017-2022. The deep learning technology segment is expected to increase at the highest CAGR of R EDACTED from 2017-2022.

Table of Contents
Chapter 1 Introduction
Chapter 2 Summary and Highlights
Chapter 3 Market and Technology Background
Chapter 4 Market Breakdown by Type of Offering
Chapter 5 Market Breakdown by Technology
Chapter 6 Market Breakdown by Application
Chapter 7 Market Breakdown by End User
Chapter 8 Market Breakdown by Region
Chapter 9 Government Regulations
Chapter 10 Patent Review
Chapter 11 Analysis of Market Opportunities
Chapter 12 Company Profiles

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