The Emotion AI Software Market is expected to register a CAGR of 21.3% from 2025 to 2031, with a market size expanding from US$ XX million in 2024 to US$ XX Million by 2031.
The report is segmented by Component (Software, Services); Enterprise Size (SMEs, Large Enterprise); End Use Industry (BFSI, Healthcare, IT and Telecom, Retail, Government, Others). The global analysis is further broken-down at regional level and major countries. The report offers the value in USD for the above analysis and segments
Purpose of the ReportThe report Emotion AI Software Market by The Insight Partners aims to describe the present landscape and future growth, top driving factors, challenges, and opportunities. This will provide insights to various business stakeholders, such as:
- Technology Providers/Manufacturers: To understand the evolving market dynamics and know the potential growth opportunities, enabling them to make informed strategic decisions.
- Investors: To conduct a comprehensive trend analysis regarding the market growth rate, market financial projections, and opportunities that exist across the value chain.
- Regulatory bodies: To regulate policies and police activities in the market with the aim of minimizing abuse, preserving investor trust and confidence, and upholding the integrity and stability of the market.
Emotion AI Software Market Segmentation
Component- Software
- Services
- SMEs
- Large Enterprise
- BFSI
- Healthcare
- IT and Telecom
- Retail
- Government
- Others
- North America
- Europe
- Asia-Pacific
- South and Central America
- Middle East and Africa
Strategic Insights
Emotion AI Software Market Growth Drivers- Growing Demand for Personalized Customer Experiences: The increasing need for personalized interactions in customer service, retail, and marketing is a major driver of the Emotion AI software market. Emotion AI, which can analyze emotions through facial expressions, voice tone, and body language, helps businesses offer more tailored and empathetic experiences. This leads to improved customer satisfaction, loyalty, and engagement, thereby driving the adoption of emotion recognition software across industries.
- Advancements in Artificial Intelligence and Machine Learning: Technological advancements in AI and machine learning have significantly enhanced the capabilities of emotion AI software. These developments allow emotion recognition systems to be more accurate, real-time, and context-aware. The integration of deep learning algorithms enables better interpretation of emotional cues, making emotion AI applications more reliable and appealing across various sectors, such as healthcare, automotive, and entertainment.
- Integration with Voice and Speech Recognition Technologies: A key trend in the emotion AI software market is the integration of emotion detection with voice and speech recognition technologies. By analyzing tone, pitch, and speech patterns, emotion AI can determine a person’s emotional state during phone calls or virtual meetings. This integration is particularly valuable in customer service, sales, and healthcare, offering more responsive and empathetic communication experiences.
- Adoption in Mental Health and Therapy Applications: Emotion AI is increasingly being adopted in mental health and therapy applications. These tools help therapists and healthcare providers assess emotional states and mental well-being by analyzing facial expressions, speech patterns, and behavioral cues. With the growing need for accessible mental health services, emotion AI is providing innovative solutions for remote diagnosis, therapy, and emotional support, thus contributing to market growth.
- Expansion in Healthcare for Early Diagnosis: Emotion AI presents significant opportunities in healthcare, particularly for early diagnosis and monitoring of mental health conditions such as depression, anxiety, and autism spectrum disorders. By analyzing emotions and facial expressions, emotion AI software can help healthcare providers assess patients' emotional states, offering early detection and intervention. This could lead to better patient outcomes and personalized care, driving demand in the healthcare sector.
- Enhanced User Experiences in Gaming and Entertainment: Emotion AI software has growing potential in the gaming and entertainment industries, where it can be used to adapt content based on users' emotional reactions. By analyzing emotions during gameplay or movie watching, developers can personalize experiences, making them more immersive and engaging. This trend offers an opportunity to create dynamic content that responds to the audience’s emotional cues in real time.
Market Report Scope
Key Selling Points
- Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the Emotion AI Software Market, providing a holistic landscape.
- Expert Analysis: The report is compiled based on the in-depth understanding of industry experts and analysts.
- Up-to-date Information: The report assures business relevance due to its coverage of recent information and data trends.
- Customization Options: This report can be customized to cater to specific client requirements and suit the business strategies aptly.
The research report on the Emotion AI Software Market can, therefore, help spearhead the trail of decoding and understanding the industry scenario and growth prospects. Although there can be a few valid concerns, the overall benefits of this report tend to outweigh the disadvantages.
REGIONAL FRAMEWORK
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- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
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to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
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to country scope.
Frequently Asked Questions
Some of the customization options available based on the request are an additional 3-5 company profiles and country-specific analysis of 3-5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation# as our team would review the same and check the feasibility
Increasing demand for enhanced customer experience, and growing adoption of AI technologies across industries are the major factors driving the emotion AI software market
The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request
Integration of emotion AI in virtual assistants and chatbots is anticipated to play a significant role in the global emotion AI software market in the coming years
The Emotion AI Software Market is estimated to witness a CAGR of 21.8% from 2023 to 2031
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Emotion AI Software Market - By Component
1.3.2 Emotion AI Software Market - By Enterprise Size
1.3.3 Emotion AI Software Market - By Region
1.3.3.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. EMOTION AI SOFTWARE MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PEST ANALYSIS
4.2.1 North America - Pest Analysis
4.2.2 Europe - Pest Analysis
4.2.3 Asia-Pacific - Pest Analysis
4.2.4 Middle East and Africa - Pest Analysis
4.2.5 South and Central America - Pest Analysis
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS
5. EMOTION AI SOFTWARE MARKET - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS
6. EMOTION AI SOFTWARE MARKET - GLOBAL MARKET ANALYSIS
6.1. EMOTION AI SOFTWARE - GLOBAL MARKET OVERVIEW
6.2. EMOTION AI SOFTWARE - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE
7. EMOTION AI SOFTWARE MARKET - REVENUE AND FORECASTS TO 2028 - COMPONENT
7.1. OVERVIEW
7.2. COMPONENT MARKET FORECASTS AND ANALYSIS
7.3. SOFTWARE
7.3.1. Overview
7.3.2. Software Market Forecast and Analysis
7.4. SERVICES
7.4.1. Overview
7.4.2. Services Market Forecast and Analysis
8. EMOTION AI SOFTWARE MARKET - REVENUE AND FORECASTS TO 2028 - ENTERPRISE SIZE
8.1. OVERVIEW
8.2. ENTERPRISE SIZE MARKET FORECASTS AND ANALYSIS
8.3. SMES
8.3.1. Overview
8.3.2. SMEs Market Forecast and Analysis
8.4. LARGE ENTERPRISE
8.4.1. Overview
8.4.2. Large Enterprise Market Forecast and Analysis
9. EMOTION AI SOFTWARE MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
9.1. NORTH AMERICA
9.1.1 North America Emotion AI Software Market Overview
9.1.2 North America Emotion AI Software Market Forecasts and Analysis
9.1.3 North America Emotion AI Software Market Forecasts and Analysis - By Component
9.1.4 North America Emotion AI Software Market Forecasts and Analysis - By Enterprise Size
9.1.5 North America Emotion AI Software Market Forecasts and Analysis - By Countries
9.1.5.1 United States Emotion AI Software Market
9.1.5.1.1 United States Emotion AI Software Market by Component
9.1.5.1.2 United States Emotion AI Software Market by Enterprise Size
9.1.5.2 Canada Emotion AI Software Market
9.1.5.2.1 Canada Emotion AI Software Market by Component
9.1.5.2.2 Canada Emotion AI Software Market by Enterprise Size
9.1.5.3 Mexico Emotion AI Software Market
9.1.5.3.1 Mexico Emotion AI Software Market by Component
9.1.5.3.2 Mexico Emotion AI Software Market by Enterprise Size
9.2. EUROPE
9.2.1 Europe Emotion AI Software Market Overview
9.2.2 Europe Emotion AI Software Market Forecasts and Analysis
9.2.3 Europe Emotion AI Software Market Forecasts and Analysis - By Component
9.2.4 Europe Emotion AI Software Market Forecasts and Analysis - By Enterprise Size
9.2.5 Europe Emotion AI Software Market Forecasts and Analysis - By Countries
9.2.5.1 Germany Emotion AI Software Market
9.2.5.1.1 Germany Emotion AI Software Market by Component
9.2.5.1.2 Germany Emotion AI Software Market by Enterprise Size
9.2.5.2 France Emotion AI Software Market
9.2.5.2.1 France Emotion AI Software Market by Component
9.2.5.2.2 France Emotion AI Software Market by Enterprise Size
9.2.5.3 Italy Emotion AI Software Market
9.2.5.3.1 Italy Emotion AI Software Market by Component
9.2.5.3.2 Italy Emotion AI Software Market by Enterprise Size
9.2.5.4 United Kingdom Emotion AI Software Market
9.2.5.4.1 United Kingdom Emotion AI Software Market by Component
9.2.5.4.2 United Kingdom Emotion AI Software Market by Enterprise Size
9.2.5.5 Russia Emotion AI Software Market
9.2.5.5.1 Russia Emotion AI Software Market by Component
9.2.5.5.2 Russia Emotion AI Software Market by Enterprise Size
9.2.5.6 Rest of Europe Emotion AI Software Market
9.2.5.6.1 Rest of Europe Emotion AI Software Market by Component
9.2.5.6.2 Rest of Europe Emotion AI Software Market by Enterprise Size
9.3. ASIA-PACIFIC
9.3.1 Asia-Pacific Emotion AI Software Market Overview
9.3.2 Asia-Pacific Emotion AI Software Market Forecasts and Analysis
9.3.3 Asia-Pacific Emotion AI Software Market Forecasts and Analysis - By Component
9.3.4 Asia-Pacific Emotion AI Software Market Forecasts and Analysis - By Enterprise Size
9.3.5 Asia-Pacific Emotion AI Software Market Forecasts and Analysis - By Countries
9.3.5.1 Australia Emotion AI Software Market
9.3.5.1.1 Australia Emotion AI Software Market by Component
9.3.5.1.2 Australia Emotion AI Software Market by Enterprise Size
9.3.5.2 China Emotion AI Software Market
9.3.5.2.1 China Emotion AI Software Market by Component
9.3.5.2.2 China Emotion AI Software Market by Enterprise Size
9.3.5.3 India Emotion AI Software Market
9.3.5.3.1 India Emotion AI Software Market by Component
9.3.5.3.2 India Emotion AI Software Market by Enterprise Size
9.3.5.4 Japan Emotion AI Software Market
9.3.5.4.1 Japan Emotion AI Software Market by Component
9.3.5.4.2 Japan Emotion AI Software Market by Enterprise Size
9.3.5.5 South Korea Emotion AI Software Market
9.3.5.5.1 South Korea Emotion AI Software Market by Component
9.3.5.5.2 South Korea Emotion AI Software Market by Enterprise Size
9.3.5.6 Rest of Asia-Pacific Emotion AI Software Market
9.3.5.6.1 Rest of Asia-Pacific Emotion AI Software Market by Component
9.3.5.6.2 Rest of Asia-Pacific Emotion AI Software Market by Enterprise Size
9.4. MIDDLE EAST AND AFRICA
9.4.1 Middle East and Africa Emotion AI Software Market Overview
9.4.2 Middle East and Africa Emotion AI Software Market Forecasts and Analysis
9.4.3 Middle East and Africa Emotion AI Software Market Forecasts and Analysis - By Component
9.4.4 Middle East and Africa Emotion AI Software Market Forecasts and Analysis - By Enterprise Size
9.4.5 Middle East and Africa Emotion AI Software Market Forecasts and Analysis - By Countries
9.4.5.1 South Africa Emotion AI Software Market
9.4.5.1.1 South Africa Emotion AI Software Market by Component
9.4.5.1.2 South Africa Emotion AI Software Market by Enterprise Size
9.4.5.2 Saudi Arabia Emotion AI Software Market
9.4.5.2.1 Saudi Arabia Emotion AI Software Market by Component
9.4.5.2.2 Saudi Arabia Emotion AI Software Market by Enterprise Size
9.4.5.3 U.A.E Emotion AI Software Market
9.4.5.3.1 U.A.E Emotion AI Software Market by Component
9.4.5.3.2 U.A.E Emotion AI Software Market by Enterprise Size
9.4.5.4 Rest of Middle East and Africa Emotion AI Software Market
9.4.5.4.1 Rest of Middle East and Africa Emotion AI Software Market by Component
9.4.5.4.2 Rest of Middle East and Africa Emotion AI Software Market by Enterprise Size
9.5. SOUTH AND CENTRAL AMERICA
9.5.1 South and Central America Emotion AI Software Market Overview
9.5.2 South and Central America Emotion AI Software Market Forecasts and Analysis
9.5.3 South and Central America Emotion AI Software Market Forecasts and Analysis - By Component
9.5.4 South and Central America Emotion AI Software Market Forecasts and Analysis - By Enterprise Size
9.5.5 South and Central America Emotion AI Software Market Forecasts and Analysis - By Countries
9.5.5.1 Brazil Emotion AI Software Market
9.5.5.1.1 Brazil Emotion AI Software Market by Component
9.5.5.1.2 Brazil Emotion AI Software Market by Enterprise Size
9.5.5.2 Argentina Emotion AI Software Market
9.5.5.2.1 Argentina Emotion AI Software Market by Component
9.5.5.2.2 Argentina Emotion AI Software Market by Enterprise Size
9.5.5.3 Rest of South and Central America Emotion AI Software Market
9.5.5.3.1 Rest of South and Central America Emotion AI Software Market by Component
9.5.5.3.2 Rest of South and Central America Emotion AI Software Market by Enterprise Size
10. INDUSTRY LANDSCAPE
10.1. MERGERS AND ACQUISITIONS
10.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
10.3. NEW PRODUCT LAUNCHES
10.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
11. EMOTION AI SOFTWARE MARKET, KEY COMPANY PROFILES
11.1. BASIS TECHNOLOGY
11.1.1. Key Facts
11.1.2. Business Description
11.1.3. Products and Services
11.1.4. Financial Overview
11.1.5. SWOT Analysis
11.1.6. Key Developments
11.2. CLARABRIDGE
11.2.1. Key Facts
11.2.2. Business Description
11.2.3. Products and Services
11.2.4. Financial Overview
11.2.5. SWOT Analysis
11.2.6. Key Developments
11.3. EXPERT SYSTEM
11.3.1. Key Facts
11.3.2. Business Description
11.3.3. Products and Services
11.3.4. Financial Overview
11.3.5. SWOT Analysis
11.3.6. Key Developments
11.4. IBM CORPORATION
11.4.1. Key Facts
11.4.2. Business Description
11.4.3. Products and Services
11.4.4. Financial Overview
11.4.5. SWOT Analysis
11.4.6. Key Developments
11.5. LINGUAMATICS
11.5.1. Key Facts
11.5.2. Business Description
11.5.3. Products and Services
11.5.4. Financial Overview
11.5.5. SWOT Analysis
11.5.6. Key Developments
11.6. MELTWATER
11.6.1. Key Facts
11.6.2. Business Description
11.6.3. Products and Services
11.6.4. Financial Overview
11.6.5. SWOT Analysis
11.6.6. Key Developments
11.7. NETOWL
11.7.1. Key Facts
11.7.2. Business Description
11.7.3. Products and Services
11.7.4. Financial Overview
11.7.5. SWOT Analysis
11.7.6. Key Developments
11.8. OPENTEXT
11.8.1. Key Facts
11.8.2. Business Description
11.8.3. Products and Services
11.8.4. Financial Overview
11.8.5. SWOT Analysis
11.8.6. Key Developments
11.9. SAP SE
11.9.1. Key Facts
11.9.2. Business Description
11.9.3. Products and Services
11.9.4. Financial Overview
11.9.5. SWOT Analysis
11.9.6. Key Developments
11.10. SAS
11.10.1. Key Facts
11.10.2. Business Description
11.10.3. Products and Services
11.10.4. Financial Overview
11.10.5. SWOT Analysis
11.10.6. Key Developments
12. APPENDIX
12.1. ABOUT THE INSIGHT PARTNERS
12.2. GLOSSARY OF TERMS
1. Basis Technology
2. Clarabridge
3. Expert System
4. IBM Corporation
5. Linguamatics
6. Meltwater
7. NetOwl
8. OpenText
9. SAP SE
10. SAS
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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