Global Emotion Recognition Software Market 2025 by Company, Regions, Type and Application, Forecast to 2031

According to our (Global Info Research) latest study, the global Emotion Recognition Software market size was valued at US$ 3924 million in 2024 and is forecast to a readjusted size of USD 9936 million by 2031 with a CAGR of 14.4% during review period.

Emotion recognition software heavily relies on artificial intelligence (AI) and machine learning algorithms to analyze facial expressions, voice patterns, and other behavioral cues. The increasing adoption of AI across various industries has contributed to the growth of emotion recognition technology. Emotion recognition software is finding applications in diverse industries, including marketing and advertising, healthcare, automotive, customer service, and human-computer interaction. The ability to gauge user emotions and sentiment is becoming crucial for enhancing user experiences and tailoring services accordingly. Social media platforms and market research companies are utilizing emotion recognition software to understand consumer sentiments and emotional reactions to products, services, and advertisements. This data helps in developing targeted marketing campaigns and improving product offerings.

This report is a detailed and comprehensive analysis for global Emotion Recognition Software market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.

Key Features:

Global Emotion Recognition Software market size and forecasts, in consumption value ($ Million), 2020-2031

Global Emotion Recognition Software market size and forecasts by region and country, in consumption value ($ Million), 2020-2031

Global Emotion Recognition Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031

Global Emotion Recognition Software market shares of main players, in revenue ($ Million), 2020-2025

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Emotion Recognition Software

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Emotion Recognition Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include FaceReader, Behavioral Signals, IBM, SkyBiometry, Megvii, Kairos, Luxand, Microsoft, Cynny, NtechLab, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Market segmentation

Emotion Recognition Software market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Detecting Physiological Signals
Detecting Emotional Behavior

Market segment by Application
Medical Emergencies and Healthcare
Advertising
Law Enforcement
Entertainment and Consumer Electronics
Others

Market segment by players, this report covers
FaceReader
Behavioral Signals
IBM
SkyBiometry
Megvii
Kairos
Luxand
Microsoft
Cynny
NtechLab
Emozo Labs
CoolTool
Amazon
iMotions
Element Human
Good Vibrations Company
EyeSee
AdMobilize
Resonate
Google
Sightcorp
Tobii Pro
Affect Lab
EyeRecognize
Betaface
Affectiva
Noldus Information Technology
Beyond Verbal
Realeyes
EmoVu

Market segment by regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia, Italy and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe Emotion Recognition Software product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Emotion Recognition Software, with revenue, gross margin, and global market share of Emotion Recognition Software from 2020 to 2025.

Chapter 3, the Emotion Recognition Software competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Emotion Recognition Software market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of Emotion Recognition Software.

Chapter 13, to describe Emotion Recognition Software research findings and conclusion.