Global Vocal Biomarkers Market 2018 | Major Participants: Beyond Verbal, Sonde Health, Audio Profiling, IBM Corporation, Cogito Corporation and Others

The, Vocal Biomarkers Market inquire about report is developing with the quick pace; chiefly due the prospering Healthcare Sector. As per a current report distributed by the Market Research Future, The Vocal Biomarkers Industry Research report is blasting and anticipated that would pick up unmistakable quality over the conjecture time frame. The Market is anticipated to exhibit a colossal development by 2023, outperforming its past development records as far as esteem and volume.

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Considering all these factors the market for vocal biomarkers is expected to reach $ 2.5 billion by the end of 2023, this market is projected to growing at a CAGR of ~ 14.5 % during 2017-2023.

Regional Analysis:
US accounts for the maximum market share due to favorable reimbursement scenario and greater expenditure on healthcare. The faster market uptake of new technology in the US is also an important driver of the market for global vocal biomarkers. Europe is the second largest market due to large disposable income and rising awareness. Asia Pacific region is expected to have the most future potential and it is estimated to be led by China and India. The Middle East & Africa market is led by the gulf nations particularly Saudi Arabia and UAE. The regions of Africa are expected to witness a moderate growth due to poor economic and political conditions and poor healthcare penetration.

Global Vocal biomarkers Market Players:
Key players profiled in the report are Beyond Verbal, Sonde Health, Audio Profiling, IBM Corporation, Cogito Corporation and others.

Taste the market data and market information presented through more than 50 market data tables and figures spread over 80 pages of the project report. Avail the in-depth table of content (TOC) & market synopsis on “Global Vocal biomarkers Market” Research Report – Forecast to 2023.

Market Highlights:
The vocal biomarkers market is chiefly driven by rise in cases of psychological, neurological and other diseases affecting speech such as depression, Attention Deficit and Disruptive Behavior Disorders, Parkinson’s disease (PD), Alzheimer’s disease, Huntington’s disease, Respiratory and Cardiovascular Disorders, traumatic brain injury (TBI) etc. According to WHO estimates, around 350 million individuals were suffering from depression in 2016 while the Parkinson’s disease Foundation, estimated about 10 million individuals Parkinson’s patients globally in 2016. Thus growing global disease prevalence will drive vocal biomarkers market size in the coming years. Another potential area of application is the use of voice biomarkers to detect disorders in employees and soldiers. For example, the U.S. Army entered into collaboration with MIT researchers to develop voice biomarkers technology for traumatic brain injury. American Heart Association in collaboration with Beyond Verbal and Mayo Clinic has developed artificial intelligence (AI) algorithms by using machine-learning to perceive voice patterns imperceptible to human ear for initial identification of coronary heart disease.

The increasing penetration of mobile technology and information technology is driving the market. The development of wearable’s coupled with the rising quality and bandwidth availability is another boon for the market for vocal biomarkers. Product development is an important strategy and the increasing collaboration between technology companies and research institutes will yield multiple benefits to both partners. For example, Sonde Health Inc., has developed a voice-based technology platform for monitoring and diagnosing diseases and conditions, has collaborated and licensed the technology from the Massachusetts Institute of Technology (MIT). Another company Beyond Verbal has developed vocal biomarket application for detecting emotions. The emotional analysis uses voice biomarkers to detect the moods such as arousal, temper etc. Beyond Verbal has also pursued the partnership strategy with Mayo Clinic, Tel Aviv University and others for the development of vocal biomarkers.

Segmentation:
The global vocal biomarkers market is segmented on the basis of type, indications and end users. Based on type the market has been segmented as frequency, amplitude, error rate, vocal rise or fall time, phonation time, voice tremor, pitch and others. Based on the indications, the market has been segmented as psychiatric disorders (depression, attention deficit and disruptive behavior disorders, others), neurological disorders (Parkinson’s disease (PD), Alzheimer’s disease, Huntington’s disease, others), respiratory disorders, cardiovascular disorders, traumatic brain injury (TBI), others) and others. Based on end users, the market has been segmented as hospitals and clinics, academic and research and others.

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What makes our report unique?
1) An extensive research study on the Global Vocal Biomarkers market, and its entire ecosystem, describes the market trends, drivers, restraints and opportunities of the Vocal Biomarkers market.

2) We provide you the longest possible market segmentation based on type of products, procedures and geography and describe the market share region wise.

3) The report gives a bird eyes view on the competitive landscape which includes mergers and acquisitions, collaborations, market strategies, and new product launches.

Major Table of Contents:
Chapter 1. Introduction
1.1 Definition

1.2 Scope of Study

1.2.1 Research Objective

1.2.2 Assumptions & Limitations

1.2.2.1 Assumptions

1.2.2.2 Limitations

1.3 Market Structure:

Chapter 2. Research Methodology
2.1 Research Process:

2.2 Primary Research

2.3 Secondary Research:

Chapter 3. Market Dynamics
3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Macroeconomic Indicators

Chapter 4. Market Factor Analysis
4.1 Porters Five Forces Model

4.2 Bargaining Power of Suppliers

4.3 Bargaining Power of Buyers

4.4 Threat of New Entrants

4.5 Threat of Substitutes

4.6 Intensity of Rivalry

Chapter 5. Global Vocal Biomarkers Market, By Type
5.1 Frequency

5.2 Amplitude

5.3 Error Rate

5.4 Vocal Rise or Fall Time

5.5 Phonation Time

5.6 Voice Tremor

5.7 Pitch

5.8 Others

...CONTINUED

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