USD 1.98 Billion
Report ID:
SQMIG45F2131 |
Region:
Global |
Published Date: February, 2024
Pages:
197
|Tables:
65
|Figures:
75
Emotion Analytics Market size was valued at USD 2.31 Billion in 2022 and is poised to grow from USD 2.70 Billion in 2023 to USD 9.35 Billion by 2030, at a CAGR of 16.80% during the forecast period (2024-2031).
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.
Global Market Size
USD 1.98 Billion
Largest Segment
Retail and E-Commerce
Fastest Growth
Retail and E-Commerce
Growth Rate
16.8% CAGR
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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.
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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.
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Drivers
Increasing Emphasis on Customer Experience:
Advancements in AI and Machine Learning Technologies:
Restraints
Data Privacy and Security:
Ethical and Cultural Considerations:
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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
Recent Developments
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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Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
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.
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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Report ID: SQMIG45F2131
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