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Sep 15, 2020 6:07 AM ET

Artificial Intelligence-Emotion Recognition Market Drives Future Change | iFlytek, INTRAface, Kairos AR, Inc., Microsoft Corporation, nViso Sarl


iCrowd Newswire - Sep 15, 2020

The ‘ Artificial Intelligence-Emotion Recognition market’ research report added by Report Ocean, is an in-depth analysis of the latest developments, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market overview; Artificial Intelligence-Emotion Recognition derived key statistics, based on the market status of the manufacturers and is a valuable source of guidance and direction for companies and individuals interested in Artificial Intelligence-Emotion Recognition market size forecast, Get report to understand the structure of the complete fine points (Including Full TOC, List of Tables & Figures, Chart).

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A combination of factors, including COVID-19 containment situation, end-use market recovery & Recovery Timeline of 2020/ 2021

covid-19 scenario Market Behavior/ Level of Risk and Opportunity End Industry Behavior/ Opportunity Assessment Expected Industry Recovery Timeline Business Impact Horizon
Opening of Economy by Q3 2020 xx xx xx xx
Recovery – Opening of Economy extended till Q4 2020 / Q1 2021 xx xx xx xx

 The Global Artificial Intelligence-Emotion Recognition Market is expected to grow from USD 813.56 Millions in 2018 to USD 1,890.67 Millions by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 12.80%.

The positioning of the Global Artificial Intelligence-Emotion Recognition Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital).

The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence-Emotion Recognition Market including are iFlytek, INTRAface, Kairos AR, Inc., Microsoft Corporation, nViso Sarl, SoftBank Group, Affectiva Inc., Apple Inc., Beyond Verbal, CloudWalk Technology, CrowdEmotion, Kairos, Noldus, Realeyes OU, Sight Corp., The International Business Machines Corporation, and Tobii AB.

On the basis of Type, the Global Artificial Intelligence-Emotion Recognition Market is studied across Facial Emotion Recognition and Speech Emotion Recognition.

On the basis of End-Use, the Global Artificial Intelligence-Emotion Recognition Market is studied across Education, Medical Care, and Wisdom Center.

On the basis of Vertical, the Global Artificial Intelligence-Emotion Recognition Market is studied across Entertainment, Government, Healthcare, Retail, and Transportation.

For the detailed coverage of the study, the market has been geographically divided into the Americas, Asia-Pacific, and Europe, Middle East & Africa. The report provides details of qualitative and quantitative insights about the major countries in the region and taps the major regional developments in detail.

In the report, we have covered two proprietary models, the FPNV Positioning Matrix and Competitive Strategic Window. The FPNV Positioning Matrix analyses the competitive market place for the players in terms of product satisfaction and business strategy they adopt to sustain in the market. The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisitions strategies, geography expansion, research & development, new product introduction strategies to execute further business expansion and growth.

Research Methodology:

Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.

The report provides insights on the following pointers:

  1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players in the Global Artificial Intelligence-Emotion Recognition Market
  2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Artificial Intelligence-Emotion Recognition Market
  3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Artificial Intelligence-Emotion Recognition Market
  4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Artificial Intelligence-Emotion Recognition Market
  5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Artificial Intelligence-Emotion Recognition Market

The report answers questions such as:

  1. What is the market size of Artificial Intelligence-Emotion Recognition market in the Global?
  2. What are the factors that affect the growth in the Global Artificial Intelligence-Emotion Recognition Market over the forecast period?
  3. What is the competitive position in the Global Artificial Intelligence-Emotion Recognition Market?
  4. Which are the best product areas to be invested in over the forecast period in the Global Artificial Intelligence-Emotion Recognition Market?
  5. What are the opportunities in the Global Artificial Intelligence-Emotion Recognition Market?
  6. What are the modes of entering the Global Artificial Intelligence-Emotion Recognition Market?

A systematic step framework for How to Tackle The Situation… “MITIGATE” | “SUSTAIN” | “GROW”: Business Strategy Recovery, Scenario and Planning

Key Segments Studied in the Global Artificial Intelligence-Emotion Recognition Market

Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan

In-Depth Qualitative Analyses Include Identification And Investigation Of The Following Aspects: Market Structure, Growth Drivers, Restraints and Challenges, Emerging Product Trends & Market Opportunities, Porter’s Fiver Forces. The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios. The report basically gives information about the Market trends, growth factors, limitations, opportunities, challenges, future forecasts, and details about all the key market players.

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Changing Forecasts in a Time of Crisis: explores key issues, including:

Key questions answered: Study Explore COVID 19 Outbreak Impact Analysis

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Key Points Covered in Artificial Intelligence-Emotion Recognition Market Report: COVID 19 Impact Analysis

  1. Preface

1.1. Objectives of the Study

1.2. Market Segmentation & Coverage

1.3. Years Considered for the Study

1.4. Currency & Pricing

1.5. Language

1.6. Stakeholders

  1. Research & Forecasting

2.1. Research Methodology

2.1.1. Research Process

2.1.2. Research Framework

2.1.3. Research Reliability & Validity

2.1.4. Research Assumptions

2.2. Forecasting Methodology

2.3. Research Outcome

2.3.1.  Competitive Strategic Window

2.3.1.1. Leverage Zone

2.3.1.2. Vantage Zone

2.3.1.3. Speculative Zone

2.3.1.4. Bottleneck Zone

2.3.2.1.1. Forefront

2.3.2.1.2. Pathfinders

2.3.2.1.3. Niche

2.3.2.1.4. Vital

2.3.2.2. Business Strategy

2.3.2.2.1. Business Growth

2.3.2.2.2. Industry Coverage

2.3.2.2.3. Financial Viability

2.3.2.2.4. Channel Support

2.3.2.3. Product Satisfaction

2.3.2.3.1. Value for Money

2.3.2.3.2. Ease of Use

2.3.2.3.3. Product Features

2.3.2.3.4. Customer Support

  1. Executive Summary

3.1. Outlook in the Artificial Intelligence-Emotion Recognition Market

3.2. Opportunities in the Artificial Intelligence-Emotion Recognition Market

3.3. Geographical Analysis in the Artificial Intelligence-Emotion Recognition Market

  1. Premium Insight

4.1. Market Connectivity

4.2. Market Dynamics

4.2.1. Drivers

4.2.1.1. Need to understand non-verbal to communicate their emotions

4.2.1.2. To improve also enhances the feedback mechanism actions taken by computers from the users

4.2.1.3. Increasing use-cases in gaming, autonomous cars, and retail

4.2.1.4. Growing use and number of wearable devices

4.2.2. Restraints

4.2.2.1. High implementation and development cost

4.2.2.2. Invariability in data collection process

4.2.3. Opportunities

4.2.3.1. Increasing use of bio sensing in practical use cases

4.2.3.2. Increasing R&D activity

4.2.4. Challenges

4.2.4.1. Challenges in language context and facial recognition

4.3. Porter’s Five Forces Analysis

4.3.1. Threat of New Entrants

4.3.2. Threat of Substitutes

4.3.3. Bargaining Power of Customers

4.3.4. Bargaining Power of Suppliers

4.3.5. Industry Rivalry

4.4. Industry Trends

  1. Global Artificial Intelligence-Emotion Recognition Market, by Type

5.1. Overview

5.2. Market Sizing & Forecasting

5.3. Facial Emotion Recognition

5.4. Speech Emotion Recognition

  1. Global Artificial Intelligence-Emotion Recognition Market, by End-Use

6.1. Overview

6.2. Market Sizing & Forecasting

6.3. Education

6.4. Medical Care

6.5. Wisdom Center

  1. Global Artificial Intelligence-Emotion Recognition Market, by Vertical

7.1. Overview

7.2. Market Sizing & Forecasting

7.3. Entertainment

7.4. Government

7.5. Healthcare

7.6. Retail

7.7. Transportation

  1. Global Artificial Intelligence-Emotion Recognition Market, by Geography

8.1. Americas

8.1.1. Overview

8.1.2. Market Sizing & Forecasting

8.1.3. Argentina

8.1.4. Canada

8.1.5. Mexico

8.1.6. United States

8.2. Asia-Pacific

8.2.1. Overview

8.2.2. Market Sizing & Forecasting

8.2.3. Australia

8.2.4. China

8.2.5. India

8.2.6. Japan

8.3. Europe, Middle East & Africa

8.3.1. Overview

8.3.2. Market Sizing & Forecasting

8.3.3. France

8.3.4. Germany

8.3.5. Italy

8.3.6. Spain

8.3.7. United Kingdom

  1. Competitive Landscape

9.1.  Global Artificial Intelligence-Emotion Recognition Market

9.2. Market Vendor Ranking Analysis for Global Artificial Intelligence-Emotion Recognition Market

9.3. Competitive News Feed Analysis for Global Artificial Intelligence-Emotion Recognition Market

  1. Company Usability Profiles

10.1. INTRAface

10.1.1. Overview

10.1.2. Strategy

10.1.3. SWOT

10.2. Kairos AR, Inc.

10.2.1. Overview

10.2.2. Strategy

10.2.3. SWOT

10.3. Microsoft Corporation

10.3.1. Overview

10.3.2. Strategy

10.3.3. SWOT

10.4. SoftBank Group

10.4.1. Overview

10.4.2. Strategy

10.4.3. SWOT

10.5. iFlytek

10.5.1. Overview

10.5.2. Strategy

10.5.3. SWOT

10.6. nViso Sarl

10.6.1. Overview

10.6.2. Strategy

10.6.3. SWOT

10.7. Affectiva Inc.

10.8. Apple Inc.

10.9. Beyond Verbal

10.10. CloudWalk Technology

10.11. CrowdEmotion

10.12. Kairos

10.13. Noldus

10.14. Realeyes OU

10.15. Sight Corp.

10.16. The International Business Machines Corporation

10.17. Tobii AB

  1. Appendix

11.1. Discussion Guide

11.2. Top Reports

11.2.1. Global Digital Voice Recorder Market – Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025

11.2.2. Global Dental Implants Market – Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025

11.2.3. Global Mobile Phone Accessories Market – Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025

11.2.4. Global Lawn & Garden Consumables Market – Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025

11.3. Author Details

Continued….

……..and view more in complete table of Contents

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