Emotion Analytics Market Showing Impressive Growth at a CAGR of 12.2% During Forecast Period 2025 - 2031 | IBM, iMotions, Kairos

Los Angeles, United States - QY Research has unveiled its latest study titled "Global Emotion Analytics Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031." This newly released report delivers a comprehensive overview of the global Emotion Analytics market, analyzing the forces shaping its growth trajectory and providing valuable insights for stakeholders, investors, and industry professionals. The research covers key areas including market dynamics, segmentation, regional performance, competitive landscape, and emerging technology trends that are redefining industry standards. Backed by reliable data and expert analysis, the report serves as a trusted guide to understanding both microeconomic and macroeconomic factors driving market evolution.

The global market for Emotion Analytics was estimated to be worth US$ 1225 million in 2024 and is forecast to a readjusted size of US$ 2633 million by 2031 with a CAGR of 12.2% during the forecast period 2025-2031.

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The research report also includes the global Emotion Analytics market figures that provide historical data as well as estimated figures. It gives a clear picture of the growth rate of the market during the forecast period. The Emotion Analytics report aims to give the readers quantifiable data that is collected from verified data. The report attempts to answer all the difficult questions such as market sizes and company strategies.

Emotion Analytics (EA) is a new field that analysis of a person's verbal and non-verbal communication in order to understand the person's mood or attitude, then can be used in CRM (Customer Relationship Management) area, such as to identify how a customer perceives a product, the presentation of a product or an interaction with a representative.

Emotion Analytics (also known as Emotion AI or Affective Computing) is a field of technology that uses artificial intelligence, machine learning, and advanced sensors to recognize, interpret, and respond to human emotions. The market is experiencing rapid growth, driven by demand across numerous industries.

Competitive Landscape: -

Microsoft
IBM
iMotions
Kairos
Affectiva
Eyeris
Realeyes
Yuyidata
Adoreboard
Heartbeat AI
Deloitte
SAS Institute
Qualtrics
Brandwatch
Berkshire Media
Dentsu
Sensemitter
Imentiv AI

The competitive landscape is a must-have information for the market players to withstand the competition present in the global Emotion Analytics market. This further helps the market participants to develop effective strategies to optimize their market positions. Moreover, the competitive analysis helps them to determine potential advantages as well as barriers within the global Emotion Analytics market. This way, they can monitor how their competitors are implementing various strategies including pricing, marketing, and distribution.

Market Drivers -

1. Technological Advancements -

This is the foundational driver enabling all others. The accuracy and feasibility of emotion analytics have skyrocketed recently.

AI and Machine Learning (ML): Advanced ML algorithms, particularly deep learning, can now process vast datasets (images, audio, text) to detect subtle, complex emotional cues with high accuracy.

Natural Language Processing (NLP): Sophisticated NLP goes beyond keyword spotting to understand sentiment, sarcasm, intent, and emotion in written and spoken language.

Improved Sensor Technology: The proliferation of high-resolution cameras, high-fidelity microphones, and even specialized sensors (like infrared for heart rate) provides richer data inputs for analysis.

Computing Power & Cloud Storage: The availability of affordable cloud computing and storage allows companies to process massive amounts of emotional data without massive upfront investment in infrastructure.

2. The Rising Demand for Enhanced Customer Experience (CX) -

This is arguably the single largest driver, especially in competitive B2C sectors. Companies are obsessed with moving beyond simple NPS scores to understand the why behind customer feelings.

Real-Time Feedback: Analyze customer calls, live chats, and in-person interactions to gauge frustration, satisfaction, or confusion in real-time, allowing for immediate intervention.

Personalization at Scale: Emotion data allows brands to tailor product recommendations, marketing messages, and support interactions based on a user's current emotional state, creating a deeply personalized experience.

Product Development: By analyzing emotional responses to products, ads, or user interfaces, companies can refine their designs to better resonate with their target audience.

Regional Insights -

The report takes readers on a journey through four key regions: United States, Asia-Pacific, and EMEA. Key nations like the United States, Germany, the United Kingdom, China, Japan, South Korea, and more are thoroughly examined. The data is presented in a timeline from 2024 as the base year, with projections extending to 2031.

North America: United States, Canada, Mexico

Latin America: Brazil and other key markets

Asia Pacific: China, Japan, South Korea, India, ASEAN countries

Europe, Middle East & Africa (EMEA): Major European economies, GCC countries, and African nations

The report provides a region-wise breakdown of market share, consumption trends, and future prospects.

Detailed of Emotion Analytics Market Segmentation -

The report offers great insights into important segments of the global Emotion Analytics market while concentrating on their CAGR, market size, market share, and future growth potential. The global Emotion Analytics market is mainly segmented according to type of product, application, and region. Each segment in these categories is extensively researched to become familiar with their growth prospects and key trends. Segmental analysis is highly important to identify key growth pockets of a global market. The report provides specific information on the market growth and demand of different products and applications to help players to focus on profitable areas of the global Emotion Analytics market.

Segmentation By Type :-

Facial Analytics
Speech Analytics
Video Analytics
Others

Segmentation By Application -

Media & Entertainment
Retail and Education
Financial Services
Healthcare
Others

This segmentation helps identify high-growth opportunities and niche segments for investors and businesses.

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Why This Report is a Must-Have -

ᗒ Historical Analysis (2020-2024) & Forecasts (2025-2031): Gain a clear understanding of market trends and future growth potential.

ᗒ Comprehensive Market Segmentation: Detailed breakdown by Type, Application, and Region to identify lucrative opportunities.

ᗒ Competitive Landscape: Insights into key players, their market share, and strategic developments like mergers, acquisitions, and expansion plans.

ᗒ Drivers & Restraints: Understand the factors shaping the market's growth and the challenges that could impact your strategy.

ᗒ Expert Opinions & Market Dynamics: Benefit from expert analysis to navigate market risks and capitalize on emerging trends.

Emotion Analytics Market Report Objectives -

(1) Analyzing the size of the global Emotion Analytics market on the basis of value and volume

(2) Accurately calculating the market shares, consumption, and other vital factors of different segments of the global Emotion Analytics market

(3) Exploring key dynamics of the global Emotion Analytics market

(4) Highlighting important trends of the global Emotion Analytics market in terms of production, revenue, and sales

(5) Deeply profiling top players of the global Emotion Analytics market and showing how they compete in the industry

(6) Studying manufacturing processes and costs, product pricing, and various trends related to them

(7) Showing the performance of different regions and countries in the global Emotion Analytics market

(8) Forecasting the market size and share of all segments, regions, and the global market.

Important Questions Answered included in the Report:-

(A) What is the market size and growth rate of the global and regional market by various segments?

(B) What is the market size and growth rate of the market for selective Countries?

(C) Which region or sub-segment is expected to drive the market in the forecast period?

(D) What factors are estimated to drive and restrain the market growth?

(E) What are the key technology and market trends shaping the market?

(F) what are the key opportunity in the market?

(G) Who are the leading manufacturers operating in the global Emotion Analytics market?

(H) Which key player accounted for the highest market share?

(I) What are the growth opportunities for the new entrants in the global Emotion Analytics market?

Table of Contents - Major Key Points:

1 Market Overview
1.1 Emotion Analytics Product Introduction
1.2 Global Emotion Analytics Market Size Forecast (2020-2031)
1.3 Emotion Analytics Market Trends & Drivers
1.3.1 Emotion Analytics Industry Trends
1.3.2 Emotion Analytics Market Drivers & Opportunity
1.3.3 Emotion Analytics Market Challenges
1.3.4 Emotion Analytics Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Emotion Analytics Players Revenue Ranking (2024)
2.2 Global Emotion Analytics Revenue by Company (2020-2025)
2.3 Key Companies Emotion Analytics Manufacturing Base Distribution and Headquarters
2.4 Key Companies Emotion Analytics Product Offered
2.5 Key Companies Time to Begin Mass Production of Emotion Analytics
2.6 Emotion Analytics Market Competitive Analysis
2.6.1 Emotion Analytics Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Emotion Analytics Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Emotion Analytics as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Facial Analytics
3.1.2 Speech Analytics
3.1.3 Video Analytics
3.1.4 Others
3.2 Global Emotion Analytics Sales Value by Type
3.2.1 Global Emotion Analytics Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Emotion Analytics Sales Value, by Type (2020-2031)
3.2.3 Global Emotion Analytics Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Media & Entertainment
4.1.2 Retail and Education
4.1.3 Financial Services
4.1.4 Healthcare
4.1.5 Others
4.2 Global Emotion Analytics Sales Value by Application
4.2.1 Global Emotion Analytics Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global Emotion Analytics Sales Value, by Application (2020-2031)
4.2.3 Global Emotion Analytics Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global Emotion Analytics Sales Value by Region
5.1.1 Global Emotion Analytics Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global Emotion Analytics Sales Value by Region (2020-2025)
5.1.3 Global Emotion Analytics Sales Value by Region (2026-2031)
5.1.4 Global Emotion Analytics Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America Emotion Analytics Sales Value, 2020-2031
5.2.2 North America Emotion Analytics Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe Emotion Analytics Sales Value, 2020-2031
5.3.2 Europe Emotion Analytics Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific Emotion Analytics Sales Value, 2020-2031
5.4.2 Asia Pacific Emotion Analytics Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America Emotion Analytics Sales Value, 2020-2031
5.5.2 South America Emotion Analytics Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa Emotion Analytics Sales Value, 2020-2031
5.6.2 Middle East & Africa Emotion Analytics Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Emotion Analytics Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions Emotion Analytics Sales Value, 2020-2031
6.3 United States
6.3.1 United States Emotion Analytics Sales Value, 2020-2031
6.3.2 United States Emotion Analytics Sales Value by Type (%), 2024 VS 2031
6.3.3 United States Emotion Analytics Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe Emotion Analytics Sales Value, 2020-2031
6.4.2 Europe Emotion Analytics Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe Emotion Analytics Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China Emotion Analytics Sales Value, 2020-2031
6.5.2 China Emotion Analytics Sales Value by Type (%), 2024 VS 2031
6.5.3 China Emotion Analytics Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan Emotion Analytics Sales Value, 2020-2031
6.6.2 Japan Emotion Analytics Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan Emotion Analytics Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea Emotion Analytics Sales Value, 2020-2031
6.7.2 South Korea Emotion Analytics Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea Emotion Analytics Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia Emotion Analytics Sales Value, 2020-2031
6.8.2 Southeast Asia Emotion Analytics Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia Emotion Analytics Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India Emotion Analytics Sales Value, 2020-2031
6.9.2 India Emotion Analytics Sales Value by Type (%), 2024 VS 2031
6.9.3 India Emotion Analytics Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 Microsoft
7.1.1 Microsoft Profile
7.1.2 Microsoft Main Business
7.1.3 Microsoft Emotion Analytics Products, Services and Solutions
7.1.4 Microsoft Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.1.5 Microsoft Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM Emotion Analytics Products, Services and Solutions
7.2.4 IBM Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.2.5 IBM Recent Developments
7.3 iMotions
7.3.1 iMotions Profile
7.3.2 iMotions Main Business
7.3.3 iMotions Emotion Analytics Products, Services and Solutions
7.3.4 iMotions Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.3.5 iMotions Recent Developments
7.4 Kairos
7.4.1 Kairos Profile
7.4.2 Kairos Main Business
7.4.3 Kairos Emotion Analytics Products, Services and Solutions
7.4.4 Kairos Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.4.5 Kairos Recent Developments
7.5 Affectiva
7.5.1 Affectiva Profile
7.5.2 Affectiva Main Business
7.5.3 Affectiva Emotion Analytics Products, Services and Solutions
7.5.4 Affectiva Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.5.5 Affectiva Recent Developments
7.6 Eyeris
7.6.1 Eyeris Profile
7.6.2 Eyeris Main Business
7.6.3 Eyeris Emotion Analytics Products, Services and Solutions
7.6.4 Eyeris Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.6.5 Eyeris Recent Developments
7.7 Realeyes
7.7.1 Realeyes Profile
7.7.2 Realeyes Main Business
7.7.3 Realeyes Emotion Analytics Products, Services and Solutions
7.7.4 Realeyes Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.7.5 Realeyes Recent Developments
7.8 Yuyidata
7.8.1 Yuyidata Profile
7.8.2 Yuyidata Main Business
7.8.3 Yuyidata Emotion Analytics Products, Services and Solutions
7.8.4 Yuyidata Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.8.5 Yuyidata Recent Developments
7.9 Adoreboard
7.9.1 Adoreboard Profile
7.9.2 Adoreboard Main Business
7.9.3 Adoreboard Emotion Analytics Products, Services and Solutions
7.9.4 Adoreboard Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.9.5 Adoreboard Recent Developments
7.10 Heartbeat AI
7.10.1 Heartbeat AI Profile
7.10.2 Heartbeat AI Main Business
7.10.3 Heartbeat AI Emotion Analytics Products, Services and Solutions
7.10.4 Heartbeat AI Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.10.5 Heartbeat AI Recent Developments
7.11 Deloitte
7.11.1 Deloitte Profile
7.11.2 Deloitte Main Business
7.11.3 Deloitte Emotion Analytics Products, Services and Solutions
7.11.4 Deloitte Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.11.5 Deloitte Recent Developments
7.12 SAS Institute
7.12.1 SAS Institute Profile
7.12.2 SAS Institute Main Business
7.12.3 SAS Institute Emotion Analytics Products, Services and Solutions
7.12.4 SAS Institute Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.12.5 SAS Institute Recent Developments
7.13 Qualtrics
7.13.1 Qualtrics Profile
7.13.2 Qualtrics Main Business
7.13.3 Qualtrics Emotion Analytics Products, Services and Solutions
7.13.4 Qualtrics Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.13.5 Qualtrics Recent Developments
7.14 Brandwatch
7.14.1 Brandwatch Profile
7.14.2 Brandwatch Main Business
7.14.3 Brandwatch Emotion Analytics Products, Services and Solutions
7.14.4 Brandwatch Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.14.5 Brandwatch Recent Developments
7.15 Berkshire Media
7.15.1 Berkshire Media Profile
7.15.2 Berkshire Media Main Business
7.15.3 Berkshire Media Emotion Analytics Products, Services and Solutions
7.15.4 Berkshire Media Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.15.5 Berkshire Media Recent Developments
7.16 Dentsu
7.16.1 Dentsu Profile
7.16.2 Dentsu Main Business
7.16.3 Dentsu Emotion Analytics Products, Services and Solutions
7.16.4 Dentsu Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.16.5 Dentsu Recent Developments
7.17 Sensemitter
7.17.1 Sensemitter Profile
7.17.2 Sensemitter Main Business
7.17.3 Sensemitter Emotion Analytics Products, Services and Solutions
7.17.4 Sensemitter Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.17.5 Sensemitter Recent Developments
7.18 Imentiv AI
7.18.1 Imentiv AI Profile
7.18.2 Imentiv AI Main Business
7.18.3 Imentiv AI Emotion Analytics Products, Services and Solutions
7.18.4 Imentiv AI Emotion Analytics Revenue (US$ Million) & (2020-2025)
7.18.5 Imentiv AI Recent Developments
8 Industry Chain Analysis
8.1 Emotion Analytics Industrial Chain
8.2 Emotion Analytics Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Emotion Analytics Sales Model
8.5.2 Sales Channel
8.5.3 Emotion Analytics Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer

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