Global Emotion Recognition Market is estimated to be valued US$ XX.X million in 2019. The report on Emotion Recognition Market provides qualitative as well as quantitative analysis in terms of market dynamics, competition scenarios, opportunity analysis, market growth, etc. for the forecast year up to 2029. The global emotion recognition market is segmented on the basis of type, application and geography.
Europe market was valued at US$ XX.X million in 2018 and is projected to reach US$ XX.X million in 2029, and register a CAGR of X.X% during the forecast period, according to a new Market.us (Prudour Research) study.
Emotion Recognition Market Scope:
By type, the market is segmented into Detecting Physiological Signals, and Detecting Emotional Behavior. By application, the market is divided into Artificial Intelligence, and Advertisement.
Based on geography, the market is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa. Major players profiled in the report include Microsoft, IBM, Qemotion, AYLIEN, MoodPatrol, indiCo, Lexalytics, Datumbox, Optimiser, Google, Apple, Affectiva, Kairos, and Eyeris.Key Market Segments
TypeDetecting Physiological Signals
Detecting Emotional Behavior
Application
Artificial Intelligence
Advertisement
Key Market Players included in the report:
Microsoft
IBM
Qemotion
AYLIEN
MoodPatrol
indiCo
Lexalytics
Datumbox
Optimiser
Apple
Affectiva
Kairos
Eyeris
Reasons to Get this Report:
In an insight outlook, this research report has dedicated to several quantities of analysis – industry research (global industry trends) and Emotion Recognition Market share analysis of high players, along with company profiles, and which collectively include about the fundamental opinions regarding the market landscape; emerging and high-growth sections of Emotion Recognition Market; high-growth regions; and market drivers, restraints, and also market chances.
The analysis covers Emotion Recognition Market and its advancements across different industry verticals as well as regions. It targets estimating the current market size and growth potential of the global Emotion Recognition Market across sections such as also application and representatives.
Additionally, the analysis also has a comprehensive review of the crucial players on the Emotion Recognition Market together side their company profiles, SWOT analysis, latest advancements, and business plans.The analysis objectives of the report are:
To equitably share in-depth info regarding the crucial elements impacting the increase of industry (growth capacity, chances, drivers, and industry-specific challenges and risks).
To know the Emotion Recognition Market by pinpointing its many subsegments.
To profile the important players and analyze their growth plans.
To endeavor the amount and value of Emotion Recognition sub-markets, depending on key regions (various vital states).
To analyze Emotion Recognition Market concerning growth trends, prospects, and also their participation in the entire sector.
To examine and study the Emotion Recognition Market size (volume & value) from the company, essential regions/countries, products, and application, background information from 2013 to 2018, and also prediction to 2029.
Primary worldwide Emotion Recognition Market manufacturing companies, to specify, clarify and analyze the product sales amount, value and market share, market rivalry landscape, SWOT analysis and development plans next coming years.
To examine competitive progress such as expansions, arrangements, new product launches, and acquisitions on the market.
1. Emotion Recognition Market Introduction
1.1. Definition
1.2. Taxonomy
1.3. Research Scope
2. Executive Summary
2.1. Key Findings by Major Segments
2.2. Top strategies by Major Players
3. Global Emotion Recognition Market Overview
3.1. Emotion Recognition Market Dynamics
3.1.1. Drivers
3.1.2. Opportunities
3.1.3. Restraints
3.1.4. Challenges
3.2. PESTLE Analysis
3.3. Opportunity Map Analysis
3.4. PORTER’S Five Forces Analysis
3.5. Market Competition Scenario Analysis
3.6. Product Life Cycle Analysis
3.7. Opportunity Orbits
3.8. Production Analysis by Region/Company
3.9. Industry chain Analysis
3.10. Marketing Strategy
4. Global Emotion Recognition Market Value & Volume ((US$ Mn & ‘000 Units)), Share (%), and Growth Rate (%) Comparison by Type, 2012-2028
4.1. Global Emotion Recognition Market Analysis by Type: Introduction
4.2. Market Size and Forecast by Region
4.3. Detecting Physiological Signals
4.4. Detecting Emotional Behavior
5. Global Emotion Recognition Market Value & Volume ((US$ Mn & ‘000 Units)), Share (%), and Growth Rate (%) Comparison by Application, 2012-2028
5.1. Global Emotion Recognition Market Analysis by Application: Introduction
5.2. Market Size and Forecast by Region
5.3. Artificial Intelligence
5.4. Advertisement
6. Global Emotion Recognition Market Value & Volume ((US$ Mn & ‘000 Units)), Share (%), and Growth Rate (%) Comparison by Region, 2012-2028
6.1. North America
6.1.1. North America Emotion Recognition Market: Regional Trend Analysis
6.1.1.1. US
6.1.1.2. Canada
6.1.1.3. Mexico
6.2.1. Europe
6.2.1. Europe Emotion Recognition Market: Regional Trend Analysis
6.2.1.1. Germany
6.2.1.2. France
6.2.1.3. UK
6.2.1.4. Russia
6.2.1.5. Italy
6.2.1.6. Spain
6.2.1.7. Rest of Europe
6.3. Asia-Pacific
6.3.1. Asia-Pacific Emotion Recognition Market: Regional Trend Analysis
6.3.1.1. China
6.3.1.2. Japan
6.3.1.3. Korea
6.3.1.4. India
6.3.1.5. Rest of Asia-Pacific
6.4. Latin America
6.4.1. Latin America Emotion Recognition Market: Regional Trend Analysis
6.4.1.1. Brazil
6.4.1.2. Argentina
6.4.1.3. Rest of Latin America
6.5. Middle East and Africa
6.5.1. Middle East and Africa Emotion Recognition Market: Regional Trend Analysis
6.5.1.1. GCC
6.5.1.2. South Africa
6.5.1.3. Israel
6.5.1.4. Rest of MEA
7. Global Emotion Recognition Market Competitive Landscape, Market Share Analysis, and Company Profiles
7.1. Market Share Analysis
7.2. Company Profiles
7.3. Microsoft
7.3.1. Company Overview
7.3.2. Financial Highlights
7.3.3. Product Portfolio
7.3.4. SWOT Analysis
7.3.5. Key Strategies and Developments
7.4. IBM
7.4.1. Company Overview
7.4.2. Financial Highlights
7.4.3. Product Portfolio
7.4.4. SWOT Analysis
7.4.5. Key Strategies and Developments
7.5. Qemotion
7.5.1. Company Overview
7.5.2. Financial Highlights
7.5.3. Product Portfolio
7.5.4. SWOT Analysis
7.5.5. Key Strategies and Developments
7.6. AYLIEN
7.6.1. Company Overview
7.6.2. Financial Highlights
7.6.3. Product Portfolio
7.6.4. SWOT Analysis
7.6.5. Key Strategies and Developments
7.7. MoodPatrol
7.7.1. Company Overview
7.7.2. Financial Highlights
7.7.3. Product Portfolio
7.7.4. SWOT Analysis
7.7.5. Key Strategies and Developments
7.8. indiCo
7.8.1. Company Overview
7.8.2. Financial Highlights
7.8.3. Product Portfolio
7.8.4. SWOT Analysis
7.8.5. Key Strategies and Developments
7.9. Lexalytics
7.9.1. Company Overview
7.9.2. Financial Highlights
7.9.3. Product Portfolio
7.9.4. SWOT Analysis
7.9.5. Key Strategies and Developments
7.10. Datumbox
7.10.1. Company Overview
7.10.2. Financial Highlights
7.10.3. Product Portfolio
7.10.4. SWOT Analysis
7.10.5. Key Strategies and Developments
7.11. Optimiser
7.11.1. Company Overview
7.11.2. Financial Highlights
7.11.3. Product Portfolio
7.11.4. SWOT Analysis
7.11.5. Key Strategies and Developments
7.12. Google
7.12.1. Company Overview
7.12.2. Financial Highlights
7.12.3. Product Portfolio
7.12.4. SWOT Analysis
7.12.5. Key Strategies and Developments
7.13. Apple
7.13.1. Company Overview
7.13.2. Financial Highlights
7.13.3. Product Portfolio
7.13.4. SWOT Analysis
7.13.5. Key Strategies and Developments
7.14. Affectiva
7.14.1. Company Overview
7.14.2. Financial Highlights
7.14.3. Product Portfolio
7.14.4. SWOT Analysis
7.14.5. Key Strategies and Developments
7.15. Kairos
7.15.1. Company Overview
7.15.2. Financial Highlights
7.15.3. Product Portfolio
7.15.4. SWOT Analysis
7.15.5. Key Strategies and Developments
7.16. Eyeris
7.16.1. Company Overview
7.16.2. Financial Highlights
7.16.3. Product Portfolio
7.16.4. SWOT Analysis
7.16.5. Key Strategies and Developments
8. Assumptions and Acronyms
9. Research Methodology
10. Contact