Vocal Biomarker Market Future Scope Presents Latest Trends and Key Drivers Supporting Growth through 2018-2027

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Demand for vocal biomarkers is primarily driven by mounting incidences of neurological, psychological, and various other ailments that impact speech such as Parkinson’s disease, depression, and attention deficit & disruptive behavior disorders. According to WHO, nearly 350 Mn individuals across the globe suffered from depression in 2016. The Parkinson’s disease Foundation’s estimates slated nearly 10 Mn patients with the disease worldwide in 2016. High prevalence of these disorders are expected to significantly rub off on demand and sales of vocal biomarkers.

FactMR has recently published a new report on the global Vocal Biomarker Market, which offers accurate forecasts on the market for the period between 2018 and 2027. This report is a definite source of information that imparts intelligence on recent market dynamics, industry trends, potential markets, technology developments & advancements, and product innovation coupled with extensive regional market coverage.

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Vocal patterns have been used by clinical psychologists and psychoanalysts for analyzing personality traits of patients, and helping creation of headway in clinical and medical investigations. Recent breakthroughs in the healthcare sector have led to the development of a unique diagnostic tool known as vocal biomarker, by combining the concept of biological markers with the aforementioned methodology to analyze personality traits.

These vocal biomarkers are deemed to have immense potential in diagnosing disease based on vocal cues. As part of ongoing breakthroughs, a group of researchers from the New York University Langone Medical Center is developing a machine learning-based artificial intelligence (AI) system that would be capable of analyzing various voice characteristics that include rhythm, tone, and pitch from patients.

Remote health monitoring potential of vocal biomarkers is also gaining high interest among researchers worldwide, For example, Beyond Verbal and Mayo Clinic have collaborated for discovering vocal patterns of patients suffering from coronary artery disease. A key concept backing the development is the impact of hardening of arteries on speech production. With advancements in technology, vocal biomarkers will soon be able to diagnose various diseases including certain cancers, Parkinson’s disease, and heart conditions.

Product development prevails as an imperative strategy driving collaborating between leading companies and research institutes across various sectors, and healthcare is no exception, Apropos of vocal biomarkers, Beyond Verbal has developed “Beyond mHealth Research Platform”, which aims at collaborating with universities, businesses, hospitals, and research institutes for collectively developing unique vocal biomarkers.

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The aim of Beyond Verbal’s project is to enhance the sensitivity of one’s connected home. Focus of this cloud-based API engine is directed toward eliminating VPAs’ emotional blind spots, given that the vocal intonations in human communication represent 35-40% of emotions conveyed. Future developments of vocal biomarkers is likely to enable VPAs analyze voice for the specific health conditions, providing unique insights into remote health monitoring and personalized tech.

A recently compiled report of FactMR envisages the global vocal biomarker market to record a spectacular 23.3% CAGR between the forecast period 2018 and 2027. Revenues from global sales of vocal biomarkers are foreseen to surpass US$ 390 Mn by 2027-end. Beyond Verbal, Sonde Health, IBM Corporation, and other leading participants operating in the global vocal biomarker market have been profiled and analyzed in detail in the report.

Table of Contents

  1. Global Vocal Biomarker Market – Executive Summary
  2. Global Vocal Biomarker Market Outlook Overview

2.1. Introduction

2.2. Market Definition

2.3. Vocal Biomarker Market- Opportunity Assessment (US$ Mn)

2.4. Trends and Developments

2.5. Competitive Analysis (Fortune Wheel)

  1. Market Dynamics

3.1. Key Growth Drivers

3.1.1. Drivers

3.1.2. Restraints

3.1.3. Opportunities

3.1.4. Trends

3.2. Supply Chain

3.3. Cost Structure

3.4. Forecast Scenario

3.5. Forecast Factors and Relevance of Impact

3.6. Key Takeaways for Vocal Biomarker Market

3.7. Epidemiology

3.8. Investment Feasibility Matrix

3.9. PEST Analysis

3.10. Product Life Cycle Analysis

3.11. Competition Footprint Matrix

Continued…………………………………..

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