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Published in : Apr 29, 2025
Global Emotion Analytics Software Market Research Report - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2033)

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Report Summary Catalogue Methodological


Definition and Scope:
Emotion analytics software is a specialized tool that utilizes advanced technologies such as artificial intelligence and machine learning to analyze and interpret human emotions based on various cues such as facial expressions, voice tone, and gestures. This software is designed to help businesses gain insights into customer sentiment, employee engagement, and overall emotional responses to different stimuli. By providing real-time analysis of emotions, companies can make data-driven decisions to enhance customer experiences, improve employee satisfaction, and optimize marketing strategies.
The market for emotion analytics software is experiencing significant growth due to several key market trends and drivers. One major trend is the increasing focus on customer experience across industries. Companies are recognizing the importance of understanding and responding to customer emotions to build stronger relationships and drive loyalty. Emotion analytics software plays a crucial role in this by enabling businesses to capture and analyze customer sentiments at scale, leading to more personalized interactions and tailored offerings. Additionally, the growing adoption of artificial intelligence and machine learning technologies is fueling the demand for emotion analytics software, as organizations seek innovative ways to leverage data for strategic decision-making.
At the same time, the rising competition in the global market is pushing companies to differentiate themselves by offering unique and personalized experiences to their customers. Emotion analytics software provides a competitive edge by enabling businesses to anticipate customer needs, identify pain points, and deliver targeted solutions effectively. Moreover, the increasing awareness of the impact of emotional intelligence on business outcomes is driving the adoption of emotion analytics software across various sectors, including retail, healthcare, and financial services. As companies strive to stay ahead in a rapidly evolving market landscape, the demand for emotion analytics software is expected to continue growing in the coming years.
The global Emotion Analytics Software market size was estimated at USD 3546.42 million in 2024, exhibiting a CAGR of 16.20% during the forecast period.
This report offers a comprehensive analysis of the global Emotion Analytics Software market, examining all key dimensions. It provides both a macro-level overview and micro-level market details, including market size, trends, competitive landscape, niche segments, growth drivers, and key challenges.
Report Framework and Key Highlights: Market Dynamics: Identification of major market drivers, restraints, opportunities, and challenges.
Trend Analysis: Examination of ongoing and emerging trends impacting the market.
Competitive Landscape: Detailed profiles and market positioning of major players, including market share, operational status, product offerings, and strategic developments.
Strategic Analysis Tools: SWOT Analysis, Porter’s Five Forces Analysis, PEST Analysis, Value Chain Analysis
Market Segmentation: By type, application, region, and end-user industry.
Forecasting and Growth Projections: In-depth revenue forecasts and CAGR analysis through 2033.
This report equips readers with critical insights to navigate competitive dynamics and develop effective strategies. Whether assessing a new market entry or refining existing strategies, the report serves as a valuable tool for:
Industry players
Investors
Researchers
Consultants
Business strategists
And all stakeholders with an interest or investment in the Emotion Analytics Software market.
Global Emotion Analytics Software Market: Segmentation Analysis and Strategic Insights
This section of the report provides an in-depth segmentation analysis of the global Emotion Analytics Software market. The market is segmented based on region (country), manufacturer, product type, and application. Segmentation enables a more precise understanding of market dynamics and facilitates targeted strategies across product development, marketing, and sales.
By breaking the market into meaningful subsets, stakeholders can better tailor their offerings to the specific needs of each segment—enhancing competitiveness and improving return on investment.
Global Emotion Analytics Software Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Companies Profiled
NVISO SA
Microsoft
iMotions A/S
IBM
TAWNY
MorphCast
CloudTalk
Noldus
Pansensic
Entropik Tech
MindsDB
Realeyes
Call Journey
Behavioral Signals
Kairos
Eyeris
Sightcorp
Emotional Recognition
Sensum
SOMA Analytics
Market Segmentation by Type
Facial Analytics
Speech Analytics
Video Analytics
Others
Market Segmentation by Application
Media & Entertainment
Retail and Education
Financial Services
Healthcare
Others
Geographic Segmentation North America: United States, Canada, Mexico
Europe: Germany, France, Italy, U.K., Spain, Sweden, Denmark, Netherlands, Switzerland, Belgium, Russia.
Asia-Pacific: China, Japan, South Korea, India, Australia, Indonesia, Malaysia, Philippines, Singapore, Thailand
South America: Brazil, Argentina, Colombia.
Middle East and Africa (MEA): Saudi Arabia, United Arab Emirates, Egypt, Nigeria, South Africa, Rest of MEA
Report Framework and Chapter Summary Chapter 1: Report Scope and Market Definition
This chapter outlines the statistical boundaries and scope of the report. It defines the segmentation standards used throughout the study, including criteria for dividing the market by region, product type, application, and other relevant dimensions. It establishes the foundational definitions and classifications that guide the rest of the analysis.
Chapter 2: Executive Summary
This chapter presents a concise summary of the market’s current status and future outlook across different segments—by geography, product type, and application. It includes key metrics such as market size, growth trends, and development potential for each segment. The chapter offers a high-level overview of the Emotion Analytics Software Market, highlighting its evolution over the short, medium, and long term.
Chapter 3: Market Dynamics and Policy Environment
This chapter explores the latest developments in the market, identifying key growth drivers, restraints, challenges, and risks faced by industry participants. It also includes an analysis of the policy and regulatory landscape affecting the market, providing insight into how external factors may shape future performance.
Chapter 4: Competitive Landscape
This chapter provides a detailed assessment of the market's competitive environment. It covers market share, production capacity, output, pricing trends, and strategic developments such as mergers, acquisitions, and expansion plans of leading players. This analysis offers a comprehensive view of the positioning and performance of top competitors.
Chapters 5–10: Regional Market Analysis
These chapters offer in-depth, quantitative evaluations of market size and growth potential across major regions and countries. Each chapter assesses regional consumption patterns, market dynamics, development prospects, and available capacity. The analysis helps readers understand geographical differences and opportunities in global markets.
Chapter 11: Market Segmentation by Product Type
This chapter examines the market based on product type, analyzing the size, growth trends, and potential of each segment. It helps stakeholders identify underexplored or high-potential product categories—often referred to as “blue ocean” opportunities.
Chapter 12: Market Segmentation by Application
This chapter analyzes the market based on application fields, providing insights into the scale and future development of each application segment. It supports readers in identifying high-growth areas across downstream markets.
Chapter 13: Company Profiles
This chapter presents comprehensive profiles of leading companies operating in the market. For each company, it details sales revenue, volume, pricing, gross profit margin, market share, product offerings, and recent strategic developments. This section offers valuable insight into corporate performance and strategy.
Chapter 14: Industry Chain and Value Chain Analysis
This chapter explores the full industry chain, from upstream raw material suppliers to downstream application sectors. It includes a value chain analysis that highlights the interconnections and dependencies across various parts of the ecosystem.
Chapter 15: Key Findings and Conclusions
The final chapter summarizes the main takeaways from the report, presenting the core conclusions, strategic recommendations, and implications for stakeholders. It encapsulates the insights drawn from all previous chapters.
Table of Contents
1 Introduction
1.1 Emotion Analytics Software Market Definition
1.2 Emotion Analytics Software Market Segments
1.2.1 Segment by Type
1.2.2 Segment by Application
2 Executive Summary
2.1 Global Emotion Analytics Software Market Size
2.2 Market Segmentation – by Type
2.3 Market Segmentation – by Application
2.4 Market Segmentation – by Geography
3 Key Market Trends, Opportunity, Drivers and Restraints
3.1 Key Takeway
3.2 Market Opportunities & Trends
3.3 Market Drivers
3.4 Market Restraints
3.5 Market Major Factor Assessment
4 Global Emotion Analytics Software Market Competitive Landscape
4.1 Global Emotion Analytics Software Market Share by Company (2020-2025)
4.2 Emotion Analytics Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
4.3 New Entrant and Capacity Expansion Plans
4.4 Mergers & Acquisitions
5 Global Emotion Analytics Software Market by Region
5.1 Global Emotion Analytics Software Market Size by Region
5.2 Global Emotion Analytics Software Market Size Market Share by Region
6 North America Market Overview
6.1 North America Emotion Analytics Software Market Size by Country
6.1.1 USA Market Overview
6.1.2 Canada Market Overview
6.1.3 Mexico Market Overview
6.2 North America Emotion Analytics Software Market Size by Type
6.3 North America Emotion Analytics Software Market Size by Application
6.4 Top Players in North America Emotion Analytics Software Market
7 Europe Market Overview
7.1 Europe Emotion Analytics Software Market Size by Country
7.1.1 Germany Market Overview
7.1.2 France Market Overview
7.1.3 U.K. Market Overview
7.1.4 Italy Market Overview
7.1.5 Spain Market Overview
7.1.6 Sweden Market Overview
7.1.7 Denmark Market Overview
7.1.8 Netherlands Market Overview
7.1.9 Switzerland Market Overview
7.1.10 Belgium Market Overview
7.1.11 Russia Market Overview
7.2 Europe Emotion Analytics Software Market Size by Type
7.3 Europe Emotion Analytics Software Market Size by Application
7.4 Top Players in Europe Emotion Analytics Software Market
8 Asia-Pacific Market Overview
8.1 Asia-Pacific Emotion Analytics Software Market Size by Country
8.1.1 China Market Overview
8.1.2 Japan Market Overview
8.1.3 South Korea Market Overview
8.1.4 India Market Overview
8.1.5 Australia Market Overview
8.1.6 Indonesia Market Overview
8.1.7 Malaysia Market Overview
8.1.8 Philippines Market Overview
8.1.9 Singapore Market Overview
8.1.10 Thailand Market Overview
8.2 Asia-Pacific Emotion Analytics Software Market Size by Type
8.3 Asia-Pacific Emotion Analytics Software Market Size by Application
8.4 Top Players in Asia-Pacific Emotion Analytics Software Market
9 South America Market Overview
9.1 South America Emotion Analytics Software Market Size by Country
9.1.1 Brazil Market Overview
9.1.2 Argentina Market Overview
9.1.3 Columbia Market Overview
9.2 South America Emotion Analytics Software Market Size by Type
9.3 South America Emotion Analytics Software Market Size by Application
9.4 Top Players in South America Emotion Analytics Software Market
10 Middle East and Africa Market Overview
10.1 Middle East and Africa Emotion Analytics Software Market Size by Country
10.1.1 Saudi Arabia Market Overview
10.1.2 UAE Market Overview
10.1.3 Egypt Market Overview
10.1.4 Nigeria Market Overview
10.1.5 South Africa Market Overview
10.2 Middle East and Africa Emotion Analytics Software Market Size by Type
10.3 Middle East and Africa Emotion Analytics Software Market Size by Application
10.4 Top Players in Middle East and Africa Emotion Analytics Software Market
11 Emotion Analytics Software Market Segmentation by Type
11.1 Evaluation Matrix of Segment Market Development Potential (Type)
11.2 Global Emotion Analytics Software Market Share by Type (2020-2033)
12 Emotion Analytics Software Market Segmentation by Application
12.1 Evaluation Matrix of Segment Market Development Potential (Application)
12.2 Global Emotion Analytics Software Market Size (M USD) by Application (2020-2033)
12.3 Global Emotion Analytics Software Sales Growth Rate by Application (2020-2033)
13 Company Profiles
13.1 NVISO SA
13.1.1 NVISO SA Company Overview
13.1.2 NVISO SA Business Overview
13.1.3 NVISO SA Emotion Analytics Software Major Product Overview
13.1.4 NVISO SA Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.1.5 Key News
13.2 Microsoft
13.2.1 Microsoft Company Overview
13.2.2 Microsoft Business Overview
13.2.3 Microsoft Emotion Analytics Software Major Product Overview
13.2.4 Microsoft Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.2.5 Key News
13.3 iMotions A/S
13.3.1 iMotions A/S Company Overview
13.3.2 iMotions A/S Business Overview
13.3.3 iMotions A/S Emotion Analytics Software Major Product Overview
13.3.4 iMotions A/S Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.3.5 Key News
13.4 IBM
13.4.1 IBM Company Overview
13.4.2 IBM Business Overview
13.4.3 IBM Emotion Analytics Software Major Product Overview
13.4.4 IBM Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.4.5 Key News
13.5 TAWNY
13.5.1 TAWNY Company Overview
13.5.2 TAWNY Business Overview
13.5.3 TAWNY Emotion Analytics Software Major Product Overview
13.5.4 TAWNY Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.5.5 Key News
13.6 MorphCast
13.6.1 MorphCast Company Overview
13.6.2 MorphCast Business Overview
13.6.3 MorphCast Emotion Analytics Software Major Product Overview
13.6.4 MorphCast Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.6.5 Key News
13.7 CloudTalk
13.7.1 CloudTalk Company Overview
13.7.2 CloudTalk Business Overview
13.7.3 CloudTalk Emotion Analytics Software Major Product Overview
13.7.4 CloudTalk Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.7.5 Key News
13.8 Noldus
13.8.1 Noldus Company Overview
13.8.2 Noldus Business Overview
13.8.3 Noldus Emotion Analytics Software Major Product Overview
13.8.4 Noldus Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.8.5 Key News
13.9 Pansensic
13.9.1 Pansensic Company Overview
13.9.2 Pansensic Business Overview
13.9.3 Pansensic Emotion Analytics Software Major Product Overview
13.9.4 Pansensic Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.9.5 Key News
13.10 Entropik Tech
13.10.1 Entropik Tech Company Overview
13.10.2 Entropik Tech Business Overview
13.10.3 Entropik Tech Emotion Analytics Software Major Product Overview
13.10.4 Entropik Tech Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.10.5 Key News
13.11 MindsDB
13.11.1 MindsDB Company Overview
13.11.2 MindsDB Business Overview
13.11.3 MindsDB Emotion Analytics Software Major Product Overview
13.11.4 MindsDB Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.11.5 Key News
13.12 Realeyes
13.12.1 Realeyes Company Overview
13.12.2 Realeyes Business Overview
13.12.3 Realeyes Emotion Analytics Software Major Product Overview
13.12.4 Realeyes Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.12.5 Key News
13.13 Call Journey
13.13.1 Call Journey Company Overview
13.13.2 Call Journey Business Overview
13.13.3 Call Journey Emotion Analytics Software Major Product Overview
13.13.4 Call Journey Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.13.5 Key News
13.14 Behavioral Signals
13.14.1 Behavioral Signals Company Overview
13.14.2 Behavioral Signals Business Overview
13.14.3 Behavioral Signals Emotion Analytics Software Major Product Overview
13.14.4 Behavioral Signals Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.14.5 Key News
13.15 Kairos
13.15.1 Kairos Company Overview
13.15.2 Kairos Business Overview
13.15.3 Kairos Emotion Analytics Software Major Product Overview
13.15.4 Kairos Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.15.5 Key News
13.16 Eyeris
13.16.1 Eyeris Company Overview
13.16.2 Eyeris Business Overview
13.16.3 Eyeris Emotion Analytics Software Major Product Overview
13.16.4 Eyeris Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.16.5 Key News
13.17 Sightcorp
13.17.1 Sightcorp Company Overview
13.17.2 Sightcorp Business Overview
13.17.3 Sightcorp Emotion Analytics Software Major Product Overview
13.17.4 Sightcorp Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.17.5 Key News
13.18 Emotional Recognition
13.18.1 Emotional Recognition Company Overview
13.18.2 Emotional Recognition Business Overview
13.18.3 Emotional Recognition Emotion Analytics Software Major Product Overview
13.18.4 Emotional Recognition Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.18.5 Key News
13.19 Sensum
13.19.1 Sensum Company Overview
13.19.2 Sensum Business Overview
13.19.3 Sensum Emotion Analytics Software Major Product Overview
13.19.4 Sensum Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.19.5 Key News
13.20 SOMA Analytics
13.20.1 SOMA Analytics Company Overview
13.20.2 SOMA Analytics Business Overview
13.20.3 SOMA Analytics Emotion Analytics Software Major Product Overview
13.20.4 SOMA Analytics Emotion Analytics Software Revenue and Gross Margin fromEmotion Analytics Software (2020-2025)
13.20.5 Key News
13.20.6 Key News
14 Key Market Trends, Opportunity, Drivers and Restraints
14.1 Key Takeway
14.2 Market Opportunities & Trends
14.3 Market Drivers
14.4 Market Restraints
14.5 Market Major Factor Assessment
14.6 Porter's Five Forces Analysis of Emotion Analytics Software Market
14.7 PEST Analysis of Emotion Analytics Software Market
15 Analysis of the Emotion Analytics Software Industry Chain
15.1 Overview of the Industry Chain
15.2 Upstream Segment Analysis
15.3 Midstream Segment Analysis
15.3.1 Manufacturing, Processing or Conversion Process Analysis
15.3.2 Key Technology Analysis
15.4 Downstream Segment Analysis
15.4.1 Downstream Customer List and Contact Details
15.4.2 Customer Concerns or Preference Analysis
16 Conclusion
17 Appendix
17.1 Methodology
17.2 Research Process and Data Source
17.3 Disclaimer
17.4 Note
17.5 Examples of Clients
17.6 Disclaimer
Research Methodology
The research methodology employed in this study follows a structured, four-stage process designed to ensure the accuracy, consistency, and relevance of all data and insights presented. The process begins with Information Procurement, wherein data is collected from a wide range of primary and secondary sources. This is followed by Information Analysis, during which the collected data is systematically mapped, discrepancies across sources are examined, and consistency is established through cross-validation.


Subsequently, the Market Formulation phase involves placing verified data points into an appropriate market context to generate meaningful conclusions. This step integrates analyst interpretation and expert heuristics to refine findings and ensure applicability. Finally, all conclusions undergo a rigorous Validation and Publishing process, where each data point is re-evaluated before inclusion in the final deliverable. The methodology emphasizes bidirectional flow and reversibility between key stages to maintain flexibility and reinforce the integrity of the analysis.
Research Process
The market research process follows a structured and iterative methodology designed to ensure accuracy, depth, and reliability. It begins with scope definition and research design, where the research objectives are clearly outlined based on client requirements, emerging market trends, and initial exploratory insights. This phase provides strategic direction for all subsequent stages of the research.
Data collection is then conducted through both secondary and primary research. Secondary research involves analyzing publicly available and paid sources such as company filings, industry journals, and government databases to build foundational knowledge. This is followed by primary research, which includes direct interviews and surveys with key industry stakeholders—such as manufacturers, distributors, and end users—to gather firsthand insights and address data gaps identified earlier. Techniques included CATI (Computer-Assisted Telephonic Interviewing), CAWI (Computer-Assisted Web Interviewing), CAVI (Computer-Assisted Video Interviewing via platforms like Zoom and WebEx), and CASI (Computer-Assisted Self Interviewing via email or LinkedIn).