Global Emotion Recognition and Sentiment Analysis Market Size, Status and Forecast 2020-2026

SKU ID : QYR-15136513 | Publishing Date : 29-Jan-2020 | No. of pages : 127

Emotion and sentiment analysis is complex because emotion is complex and not very well understood. Emotion can be deceptive and expressed in multiple ways: in our speech intonation, the text of the words we say or write, our facial expressions, body posture, and gestures.
These factors create variables in emotion analysis confidence scoring, which must be overcome for most sentiment and emotion analysis use cases to come into full bloom. Despite these challenges, the market for sentiment and emotion analysis has begun to expand.
Market Analysis and Insights: Global Emotion Recognition and Sentiment Analysis Market
In 2019, the global Emotion Recognition and Sentiment Analysis market size was US$ xx million and it is expected to reach US$ xx million by the end of 2026, with a CAGR of xx% during 2021-2026.
Global Emotion Recognition and Sentiment Analysis Scope and Market Size
Emotion Recognition and Sentiment Analysis market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Emotion Recognition and Sentiment Analysis market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.
Segment by Type, the Emotion Recognition and Sentiment Analysis market is segmented into Natural Language Processing, Natural Language Generation, Computer Vision, Deep Learning, etc.
Segment by Application, the Emotion Recognition and Sentiment Analysis market is segmented into Customer Service, Product/Marketing Research, Healthcare, Education, Automotive, Gaming, etc.
Regional and Country-level Analysis
The Emotion Recognition and Sentiment Analysis market is analysed and market size information is provided by regions (countries).
The key regions covered in the Emotion Recognition and Sentiment Analysis market report are North America, Europe, China, Japan, Southeast Asia, India and Central & South America, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by Type, and by Application segment in terms of revenue for the period 2015-2026.

Competitive Landscape

and Emotion Recognition and Sentiment Analysis Market Share Analysis
Emotion Recognition and Sentiment Analysis market competitive landscape provides details and data information by vendors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on revenue (global and regional level) by player for the period 2015-2020. Details included are company description, major business, company total revenue and the revenue generated in Emotion Recognition and Sentiment Analysis business, the date to enter into the Emotion Recognition and Sentiment Analysis market, Emotion Recognition and Sentiment Analysis product introduction, recent developments, etc.
The major vendors include [24]7.ai, Adoreboard, Affectiva, Amazon, Aspect Software, Beyond Verbal, BirdEye, Clarabridge, Cogito, Creative Virtual, EMRAYS Technologies, Expressive, Eyeris, IBM, imperson, Indico, Infegy, IPsoft, Lexalytics, ParallelDots, RealEyes, etc.

This report focuses on the global Emotion Recognition and Sentiment Analysis status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Emotion Recognition and Sentiment Analysis development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

The key players covered in this study


[24]7.ai
Adoreboard
Affectiva
Amazon
Aspect Software
Beyond Verbal
BirdEye
Clarabridge
Cogito
Creative Virtual
EMRAYS Technologies
Expressive
Eyeris
IBM
imperson
Indico
Infegy
IPsoft
Lexalytics
ParallelDots
RealEyes

Market segment by Type, the product can be split into


Natural Language Processing
Natural Language Generation
Computer Vision
Deep Learning

Market segment by Application, split into


Customer Service
Product/Marketing Research
Healthcare
Education
Automotive
Gaming

Market segment by Regions/Countries, this report covers


North America
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:


To analyze global Emotion Recognition and Sentiment Analysis status, future forecast, growth opportunity, key market and key players.
To present the Emotion Recognition and Sentiment Analysis development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by type, market and key regions.

In this study, the years considered to estimate the market size of Emotion Recognition and Sentiment Analysis are as follows:
History Year: 2015-2019

Base Year:

2019

Estimated Year:

2020
Forecast Year 2020 to 2026
For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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