Press release
What's driving the Health Intelligent Virtual Assistant Market Trend? | By Leading players CSS Corporation, eGain Corporation, idAvatars, Kognito, MedRespond, Microsoft Corporation, Nuance Communications, True Image Interactive, Inc., Verint systems, and
In the latest report on Health Intelligent Virtual Assistant Market added by Market Study Report, LLC, a concise analysis on the recent industry trends is covered. The report further includes statistics, market forecasts and revenue estimations, that in addition highlights its status in the competitive domain as well as expansion trends adopted by major industry players.Health Intelligent Virtual Assistant Market will exceed USD 1.6 billion by 2024; as per a new research report. Growing adaptation of internet of things will drive market growth. internet of things can be applied from smart sensors to remote monitoring and medical device integration to improve physicians? delivery care. The implementation of internet of things in healthcare helps in enhancing already existing technology, thereby driving health intelligent virtual assistant market growth.
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Prominent industries involved in health intelligent virtual assistant market are CSS Corporation, eGain Corporation, idAvatars, Kognito, MedRespond, Microsoft Corporation, Nuance Communications, True Image Interactive, Inc., Verint systems, and Welltok, Inc. These prominent business players focus on new product launch, strategic acquisitions and mergers to strengthen market position. For instance, in March 2018, Nuance announced its collaboration with Partners HealthCare for development of advanced artificial intelligence applications for diagnostic imaging. This will enable company to expand its existing product portfolio and strengthen its market presence.
Voice recognition market is estimated to reach USD 129.3 million by 2024. Growth is attributed to ability of voice recognition technology to document patient data more efficiently in less time. Introduction of smartphones and other mobile platforms equipped with voice recognition technology will render positive impact on business growth during the forecast timeframe.
Payer groups market is forecasted to grow at CAGR of 33.9% across the projected timeframe. The use of virtual assistants enables payers to evaluate and improve the workflow with entire patient data.
Apart from this, speech recognition technology is harnessed by the payers? group to offer effective customer service and drive its business growth, thereby fostering market growth.
Germany health intelligent virtual assistant market is forecasted to reach USD 129.1 million by 2024. increasing use of health apps coupled with rising prevalence of lifestyle related chronic diseases are expected to boost the health intelligent virtual assistant market in Germany. Rapid adoption of virtual assistants to track health records, rising geriatric population and independently living senior citizens will promote business growth in the future.
Rising need for improving overall health of population, reducing per capita cost of healthcare, improving patient experience and reducing medical errors will boost the adoption of intelligent virtual assistants. Health intelligent virtual assistant helps diagnose illness, offer novel treatment options, eliminate human error and eliminates redundant tasks that clog up the system, thereby fostering market growth.
Japan health intelligent virtual assistant market will witness robust growth at 36.1% CAGR during the projected timeframe. Emphasis on rapid development of the IoT reflects to cope with its aging society through reduced human resource costs will lead to regional growth. Increasing adoption of internet of things by major companies will favor business growth across the projected timeframe
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Report Content
Chapter 1. Methodology
1.1. Methodology
1.2. Market definitions
1.3. Forecast parameters
1.4. Data sources
1.4.1. Secondary
1.4.1.1. Paid sources
1.4.1.2. Unpaid sources
1.4.2. Primary
Chapter 2. Executive Summary
2.1. Health intelligent virtual assistant market industry 360o synopsis, 2013 - 2024
2.1.1. Business trends
2.1.2. Technology trends
2.1.3. End-user trends
2.1.4. Regional trends
Chapter 3. Health Intelligent Virtual Assistant Industry Insights
3.1. Industry segmentation
3.2. Industry landscape, 2013 - 2024
3.3. Industry impact forces
3.3.1. Growth drivers
3.3.1.1. Rising smartphone users worldwide coupled with increasing use of health applications
3.3.1.2. Growing popularity of Internet of Things (IoT)
3.3.1.3. Increasing lifestyle related disorders along with rising awareness
3.3.1.4. Need to improve quality of healthcare delivery and lower the treatment cost
3.3.2. Industry pitfalls & challenges
3.3.2.1. Large scale unemployment
3.3.2.2. Lack of infrastructure in developing economies
3.4. Growth potential analysis
3.4.1. By technology
3.4.2. By end-user
3.5. Technology landscape
3.6. Regulatory landscape
3.6.1. U.S.
3.6.1.1. Health Information Technology for Economic and Clinical Health (HITECH)
3.6.1.2. Electronic Communication Privacy Act (ECPA)
3.6.2. Europe
3.6.2.1. EU Data Protection Directive
3.6.2.2. EU Electronic Communication Code
3.7. Porter's analysis
3.8. Competitive landscape, 2017
3.8.1. Strategy dashboard
3.9. PESTEL analysis
Chapter 4. Health Intelligent Virtual Assistant Market, By Technology
4.1. Health intelligent virtual assistant market share by technology, 2017 & 2024
4.2. Speech recognition
4.2.1. Market size, by region, 2013 - 2024 (USD Million)
4.3. Text-to-speech
4.3.1. Market size, by region, 2013 - 2024 (USD Million)
4.4. Voice recognition
4.4.1. Market size, by region, 2013 - 2024 (USD Million)
Chapter 5. Health Intelligent Virtual Assistant Market, By End-user
5.1. Health intelligent virtual assistant market share by procedure, 2017 & 2024
5.2. Payers
5.2.1. Market size, by region, 2013 - 2024 (USD Million)
5.3. Providers
5.3.1. Market size, by region, 2013 - 2024 (USD Million)
5.4. Others
5.4.1. Market size, by region, 2013 - 2024 (USD Million)
Chapter 6. Health Intelligent Virtual Assistant Market, By Region
Chapter 7. Company Profiles
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