USD 1.98 Billion
Emotion Analytics Market Size, Share, Growth Analysis, By Technology(Facial Expression Recognition, Speech and Voice Analytics, Biometric and Physiological Sensors and Natural Language Processing (NLP)), By End User(Retail and E-Commerce, Healthcare, Financial Services, Human Resources), By Region - Industry Forecast 2025-2032
Report ID:
SQMIG45F2131 |
Region:
Global |
Published Date: February, 2024
Pages:
197
|Tables:
65
|Figures:
75
Emotion Analytics Market Insights
Emotion Analytics Market size was valued at USD 2.7 Billion in 2023 and is poised to grow from USD 3.15 Billion in 2024 to USD 0 Billion by 2032, growing at a CAGR of 16.80% during the forecast period (2025-2032).
The global emotion analytics market has experienced robust growth with the growing awareness of the crucial role that emotions play in influencing human behavior across numerous industries is driving a transformative wave on a global scale within the emotion analytics market. By technologies, facial expression recognition techniques, speech, and voice analytics systems, biometric its physiological sensors as well as natural language processing are highlighted to stand out universally on the distinctive role in an understanding of human emotions. While it is indicated across multiple end-user fields as the market’s retail and ecommerce to optimize customer experiences, healthcare utilizing emotion analytics on behalf of patient welfare, financial services measuring investor sentiment or human resources integrating emotional intelligence in talent management.
Geographically, North America plays a crucial role in the global emotion analytics market and emerged as the dominating region. The competitive landscape in this market defines a rapidly evolving battleground with influential players such as Affectiva, Beyond Verbal, IBM Corporation and Microsoft Corporation fueling innovation and defining the direction of the industry.
Market snapshot - 2024-2031
Global Market Size
Largest Segment
Retail and E-Commerce
Fastest Growth
Retail and E-Commerce
Growth Rate
16.8% CAGR
Global Emotion Analytics Market ($ Bn)
Country Share for North America Region (%)
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Emotion Analytics Market Segmental Analysis
The global emotion analytics market is segmented based on technology, end user, and region. By technology, the market is segmented into facial expression recognition, speech and voice analytics, biometric and physiological sensors and natural language processing. By end user, the market is segmented into retail and e-commerce, healthcare, financial services, human resources, and others. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Analysis By Technology
The largest market segment by technology within the global emotion analytics market is facial expression recognition. This technology’s popularity is due to its presence in various industries and the use of computer vision and machine learning algorithms that analyze facial signs and palpitations with high accuracy. Major players like Affectiva, Kairos and Emotient (Apple) have taken instrumental roles in advancing capacities of facial expression recognition as the emotion analytics market hit a cornerstone.
Speech and voice analytics are the fastest growing segment due to increasing demand for emotionally driven instance detection via voices that span customer service, market research processes, employee feedback channels among others. Intelligent companies, such as Beyond Verbal, Cogito Corporation and iMotions , are at the leading edge of cutting-edge solutions that take advantage of natural language processing power to capture invaluable information from spoken words. Speech and voice analytics are on a growth trajectory due to its versatility as well as the ability of this technology to capture subtle emotions in vocal intonations.
Analysis By End User
The retail and e-commerce sector is the largest market segment by end user within the global emotion analytics market. Organizations in this sector make use of emotion analytics to improve customer experiences, develop optimal product recommendations and acquire deep insights into consumer preferences. Industry titans such as Amazon, Alibaba Group, and eBay have played a significant role in promoting the use of emotion analytics within retail making it an important market player.
On the other hand, the segment that has emerged as the fastest growing segment in recent years is the healthcare segment that incorporates emotion analytics for patient monitoring, mental health assessment and better doctor patient communication. The segment is developing rapidly and acknowledges pioneering solutions from key players like Cogito Corporation, Ginger.io , and IBM Watson Health which are solving the unique emotional aspects of healthcare. The dominance of the healthcare segment will be seen in coming years.
Global Emotion Analytics Market By End User
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Emotion Analytics Market Regional Insights
The dominating region in the global emotion analytics market is the North America region, which holds a significant market share. The region’s prominence can be explained by the early implementation of cutting-edge technologies, strong infrastructure consisting Major contenders active in the emotion analytics market, particularly those focusing on facial expression recognition, speech, and voice analytics as well as natural language processing are prominent within North America. The region’s technological infrastructure has matured by the day and is crowned with a culture of innovation that makes it leading in emotion analytics.
On the other hand, it has been seen that Asia Pacific has emerged as the fastest growing region in recent years within the emotion analytics market. The Asia-Pacific region can be identified as the fastest-growing market for emotion analytics. The demand for emotion analytics solutions in Asia-Pacific is growing with a rapidly expanding economy, greater adoption of technology and increasing attention being paid to emotional insights. Key countries are China, India, Japan and South Korea driven by a thriving retail industry that is constantly developing as well as such focus on innovations in the sphere of healthcare plus attention about integrating most advanced technologies into numerous industries. All these make the region become one of epicenters in terms of fastest-growing trends in the global emotion analytics market.
Global Emotion Analytics Market By Region
- Largest
- Fastest
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Emotion Analytics Market Dynamics
Drivers
Increasing Emphasis on Customer Experience:
- One of the major driving factors behind the emotion analytics market is increased focus on improving customer experience. Emotions play a pivotal role in shaping customer preference and loyalty, which is accepted by businesses of all industries. Emotion analytics technologies like facial expression recognition and speech analytics allow for organizations to understand and perceive responses to the customer’s emotions helping them to personalize interactions, which in turn helps increase satisfaction leading to relation with customers over prolonged time. This is why sectors such as retail and e-commerce, and customer service are becoming more inclined to the adoption of emotion analytics solutions in their efforts towards acquiring superior customer experiences.
Advancements in AI and Machine Learning Technologies:
- Owing to the continuous improvements in artificial intelligence (AI) and machine learning technologies, emotion analytics is continually on the upward. These technologies provide more accurate and sophisticated analysis of emotional signs, which enables systems to detect subtle hints in facial expressions – voice tones and written language. As AI and ML algorithms go through changes, emotion analytics continues to increase its depth in offering insights into human emotions. With this kind of progress, emotion analytics is becoming more applicable in various fields like healthcare and finance or human resources thereby supporting market growth.
Restraints
Data Privacy and Security:
- One major barrier which is affecting the global emotion analytics market is privacy and security of data. Emotion analytics is quite intensive from the perspective of use and analysis of personal data, such as facial expressions, voice recordings and physiological signals. The consumer and regulatory bodies’ increasing fear over potential misuse or unauthorized access to sensitive emotional data stems from the increased prevalence of these technologies. Companies operating in the emotion analytics space face a challenge as they are required to comply with strict data protection regulations, such as GDPR in Europe and emerging global privacy standards. Detecting the stability between appropriate insights gained by emotional data and sufficient privacy measures for market sustainability is crucially important.
Ethical and Cultural Considerations:
- The widespread usability of emotion analytics is restrained by ethical considerations and cultural nuances. Emotions can be interpreted very differently from one culture to another, and ethical issues may emerge in the use of emotional insights especially when they relate to employment, education, and public spaces. Bias in algorithms, unfair profiling or secondary effects of emotion analysis may provoke public disbelief and regulatory investigation. To curb the uncontrolled market growth, it is essential to strike a balance between technological capabilities of emotion analytics and ethical implications towards deployment to gain societal acceptance without potential backlash.
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Emotion Analytics Market Competitive Landscape
The global emotion analytics market is highly competitive and characterized by the presence of several key players. These players compete based on factors such as product portfolio, technological advancements, pricing strategies, and market reach. The market is driven by continuous research and development (R&D) efforts aimed at introducing innovative techniques and enhancing efficiency. Market players focus on strategic collaborations, partnerships, and mergers and acquisitions to expand their market presence and gain a competitive edge.
Additionally, they invest heavily in research and development of new emotion analytics solutions and get approvals from regulatory authorities to ensure the safety and efficacy of their products. The market also witnesses intense competition in terms of pricing, as players strive to offer cost-effective solutions without compromising on quality. Moreover, companies operating in the global emotion analytics market are actively engaged in improving their manufacturing processes to increase production efficiency and meet the growing demand for sustainable solutions. They also focus on building strong distribution networks and establishing strong relationships with industries to enhance product accessibility.
Top Player’s Company Profiles
- Affectiva
- Ginger.io
- Apple Incorporated
- KeenCorp
- Amazon Web Services
- Cogito Corporation
- Kairos
- NeuroSky
- SAS Institute
- NICE Ltd.
- Lexalytics
- Realeyes
- Noldus Information Technology BV.
- Visage Technologies
- TAWNY
- Deepgram
- Stork Tech, Inc.
Recent Developments
- In July 2022, Microsoft Corporation announced its new digital contact center platform, a comprehensive, flexible customer care solution. This digital contact center platform is powered with Nuance AI, Teams, and Dynamics 365.
Emotion Analytics Key Market Trends
- Integration of Emotion Analytics in Human Resources: One significant trend in the emotion analytics market is the growing use of such technologies within HR practices. Companies are realizing the importance of monitoring and responding to their employees’ emotional health. Emotion analytics tools are used for the purpose of employee engagement, sentiment analysis and talent management. This is because a positive working environment encourages productivity and further enhances employees’ job satisfaction. HR professionals will use emotion analytics to gain access to employee sentiments, identify areas where the workplace culture can be improved and implement strategies for improvement that focus on enhancing employees’ overall well-being.
- Growing Emphasis on Real-Time Emotion Analysis for Enhancement of Customer Experiences: Another significant trend includes the increasing focus on real-time emotion analysis to improve customer experiences. Retail and service businesses deploy emotion analytics to assess customer sentiments in real-time. This can be done through facial recognition, voice analysis and other technologies used to determine how customers are feeling during engagements with the products or services as well as support channels. Companies are using this real time emotional data to make instantaneous changes in order to improve customer satisfaction, become more personal and develop optimal product offerings. The tendency reveals the change towards a more customer-oriented strategy where emotions become critical for business strategies and decisions.
Emotion Analytics Market SkyQuest Analysis
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyzes the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
According to SkyQuest analysis, we found that the global emotion analytics market is going to expand in the coming years. The global market of emotion analytics is currently undergoing a sweeping phase driven by the simultaneous confluence of technological innovations and an increased realization that emotions play critical parts in multiple aspects of business and society. Two main market growth factors include the quick development of facial recognition technology, which has been supported by key industry players such as Afectiva and Kairos, furthermore, there is an emerging push to integrate emotion analytics within human resourcing processes signifying a strategic move involving cultivating positive emotions in every HR operation. These drivers highlight the market’s trend towards delivering valuable insights to organizations about consumer behavior and employee engagement. North America indicates the biggest market area that has been remarkably enabled by early technological embrace, a fully developed tech environment and an innovation climate. One significant market development affecting the trajectory is real-time emotion analytics integration to improve customer experience. Businesses, especially within the retail sector are using technologies such as facial recognition and voice analysis to gain immediate read into consumer sentiments, allowing them to adjust products or services on a real-time basis. This tendency is indicative of a much larger process when the focus shifts from being business-oriented to becoming customer oriented – where addressing and responding to emotions become central points in deciding how businesses operate. In summary, the global emotion analytics market is set to continue its rapid growth with new technology developments and key partnerships all informing a stronger focus on capitalizing from understanding of human emotions in various sectors but must address privacy issues along this path.
| Report Metric | Details |
|---|---|
| Market size value in 2022 | USD 2.31 Billion |
| Market size value in 2030 | USD 9.35 Billion |
| Growth Rate | 16.80% |
| Base year | 2023 |
| Forecast period | 2024-2031 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
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| Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
- Exhibit: Executive Summary – Chart on Market Overview
- Exhibit: Executive Summary – Data Table on Market Overview
- Exhibit: Executive Summary – Chart on Emotion Analytics Market Characteristics
- Exhibit: Executive Summary – Chart on Market by Geography
- Exhibit: Executive Summary – Chart on Market Segmentation
- Exhibit: Executive Summary – Chart on Incremental Growth
- Exhibit: Executive Summary – Data Table on Incremental Growth
- Exhibit: Executive Summary – Chart on Vendor Market Positioning
Parent Market Analysis
Market overview
Market size
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- SWOT Analysis
KEY MARKET INSIGHTS
- Technology Analysis
- (Exhibit: Data Table: Name of technology and details)
- Pricing Analysis
- (Exhibit: Data Table: Name of technology and pricing details)
- Supply Chain Analysis
- (Exhibit: Detailed Supply Chain Presentation)
- Value Chain Analysis
- (Exhibit: Detailed Value Chain Presentation)
- Ecosystem Of the Market
- Exhibit: Parent Market Ecosystem Market Analysis
- Exhibit: Market Characteristics of Parent Market
- IP Analysis
- (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
- Trade Analysis
- (Exhibit: Data Table: Import and Export data details)
- Startup Analysis
- (Exhibit: Data Table: Emerging startups details)
- Raw Material Analysis
- (Exhibit: Data Table: Mapping of key raw materials)
- Innovation Matrix
- (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
- Pipeline product Analysis
- (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
- Macroeconomic Indicators
COVID IMPACT
- Introduction
- Impact On Economy—scenario Assessment
- Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
- Revised Market Size
- Exhibit: Data Table on Emotion Analytics Market size and forecast 2021-2027 ($ million)
- Impact Of COVID On Key Segments
- Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
- COVID Strategies By Company
- Exhibit: Analysis on key strategies adopted by companies
MARKET DYNAMICS & OUTLOOK
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- Regulatory Landscape
- Exhibit: Data Table on regulation from different region
- SWOT Analysis
- Porters Analysis
- Competitive rivalry
- Exhibit: Competitive rivalry Impact of key factors, 2021
- Threat of substitute products
- Exhibit: Threat of Substitute Products Impact of key factors, 2021
- Bargaining power of buyers
- Exhibit: buyers bargaining power Impact of key factors, 2021
- Threat of new entrants
- Exhibit: Threat of new entrants Impact of key factors, 2021
- Bargaining power of suppliers
- Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
- Competitive rivalry
- Skyquest special insights on future disruptions
- Political Impact
- Economic impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact
Market Size by Region
- Chart on Market share by geography 2021-2027 (%)
- Data Table on Market share by geography 2021-2027(%)
- North America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- USA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Canada
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Europe
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Germany
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Spain
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- France
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- UK
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Europe
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Asia Pacific
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- China
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- India
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Japan
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Korea
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Asia Pacific
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Latin America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Brazil
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of South America
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Middle East & Africa (MEA)
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- GCC Countries
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Africa
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of MEA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
KEY COMPANY PROFILES
- Competitive Landscape
- Total number of companies covered
- Exhibit: companies covered in the report, 2021
- Top companies market positioning
- Exhibit: company positioning matrix, 2021
- Top companies market Share
- Exhibit: Pie chart analysis on company market share, 2021(%)
- Total number of companies covered
Methodology
For the Emotion Analytics Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Emotion Analytics Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Emotion Analytics Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Emotion Analytics Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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