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South Korea Emotion Analytics Market

ID: MRFR/ICT/58027-HCR
200 Pages
Aarti Dhapte
October 2025

South Korea Emotion Analytics Market Research Report By Application (Voice Analysis, Facial Expression Recognition, Text Analysis, Psychographic Analysis), By Deployment Type (On-Premises, Cloud-Based), By End-use (Retail, Healthcare, Automotive, Media Entertainment, Education), and By Technology (Machine Learning, Deep Learning, Natural Language Processing)-Forecast to 2035

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South Korea Emotion Analytics Market Summary

As per MRFR analysis, the South Korea emotion analytics market size was estimated at 108.04 USD Million in 2024. The South Korea emotion analytics market is projected to grow from 129.99 USD Million in 2025 to 826.68 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 20.32% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The South Korea emotion analytics market is experiencing robust growth driven by technological advancements and a heightened focus on consumer experience.

  • The integration of AI technologies is transforming the landscape of emotion analytics, enhancing data interpretation and application.
  • The largest segment in the market is customer service, which is increasingly utilizing emotion analytics to improve user interactions.
  • The fastest-growing segment is personalized marketing, reflecting a shift towards tailored consumer engagement strategies.
  • Key market drivers include the rising demand for personalized marketing and advancements in technology infrastructure, which are propelling market expansion.

Market Size & Forecast

2024 Market Size 108.04 (USD Million)
2035 Market Size 826.68 (USD Million)

Major Players

Microsoft (US), IBM (US), Google (US), Amazon (US), NVIDIA (US), Cerebri AI (CA), Affectiva (US), Realeyes (GB), Beyond Verbal (IL), Emotient (US)

South Korea Emotion Analytics Market Trends

The emotion analytics market is experiencing notable growth in South Korea. This growth is driven by advancements in artificial intelligence and machine learning technologies. These innovations enable businesses to analyze consumer emotions more effectively, leading to improved customer experiences and targeted marketing strategies. Companies across various sectors, including retail, healthcare, and entertainment, are increasingly adopting emotion analytics tools to gain insights into consumer behavior. This trend suggests a shift towards data-driven decision-making, where understanding emotional responses plays a crucial role in shaping business strategies. Moreover, the increasing integration of emotion analytics into customer relationship management systems indicates a growing recognition of the importance of emotional intelligence in business. Organizations are leveraging these insights to enhance customer engagement and loyalty. As the demand for personalized experiences rises, The emotion analytics market is likely to expand further. More companies are investing in technologies that facilitate emotional understanding. This evolution reflects a broader trend towards human-centric approaches in business, where emotional connections are prioritized alongside traditional metrics.

Integration with AI Technologies

The emotion analytics market is increasingly integrating with artificial intelligence technologies. This integration enhances the ability to analyze vast amounts of data, allowing for more accurate emotion detection and interpretation. As AI continues to evolve, its application in understanding human emotions is expected to deepen, providing businesses with richer insights.

Focus on Consumer Experience

There is a growing emphasis on improving consumer experience through emotion analytics. Companies are utilizing these insights to tailor their products and services, ensuring they resonate emotionally with their target audience. This trend highlights the shift towards customer-centric strategies in various industries.

Regulatory Developments

Recent regulatory developments in South Korea are shaping the landscape of the emotion analytics market. As privacy concerns rise, businesses are adapting their practices to comply with new regulations. This shift may lead to more transparent data usage and foster consumer trust in emotion analytics applications.

South Korea Emotion Analytics Market Drivers

Growing Focus on Mental Health Awareness

The heightened awareness surrounding mental health issues in South Korea is influencing the emotion analytics market. Organizations are increasingly recognizing the importance of emotional well-being, leading to a surge in demand for tools that can assess and analyze emotional states. This trend is particularly relevant in workplaces, where companies are implementing emotion analytics to monitor employee satisfaction and mental health. Research indicates that businesses that prioritize emotional well-being can see a 20% increase in productivity. Consequently, the emotion analytics market is likely to experience growth as more organizations seek to implement these tools to foster a healthier work environment and improve overall employee morale.

Rising Demand for Personalized Marketing

The increasing emphasis on personalized marketing strategies is driving the emotion analytics market in South Korea. Businesses are recognizing the value of understanding consumer emotions to tailor their marketing efforts effectively. According to recent studies, companies that utilize emotion analytics can enhance customer engagement by up to 30%. This trend is particularly evident in the retail and e-commerce sectors, where brands leverage emotional insights to create targeted campaigns. As consumers seek more relevant and emotionally resonant experiences, the demand for advanced emotion analytics tools is likely to grow. This shift not only enhances brand loyalty but also contributes to higher conversion rates, thereby propelling the overall growth of the emotion analytics market.

Advancements in Technology Infrastructure

The rapid advancements in technology infrastructure in South Korea are significantly impacting the emotion analytics market. With the proliferation of high-speed internet and mobile connectivity, businesses are increasingly adopting sophisticated analytics tools to capture and analyze emotional data. The integration of cloud computing and big data technologies allows for real-time processing of vast amounts of emotional data, enabling companies to make informed decisions swiftly. As organizations invest in these technologies, the emotion analytics market is expected to expand, with projections indicating a growth rate of approximately 25% annually. This technological evolution not only enhances data accuracy but also facilitates the development of innovative applications in various sectors, including healthcare and entertainment.

Emergence of Emotion-Driven Product Development

The emergence of emotion-driven product development is reshaping the landscape of the emotion analytics market. Companies are increasingly leveraging emotional insights to inform their product design and development processes. By understanding consumer emotions, businesses can create products that resonate more deeply with their target audience. This trend is particularly pronounced in the technology and consumer goods sectors, where emotional appeal can significantly influence purchasing decisions. Research indicates that products developed with emotional insights can achieve up to 40% higher sales compared to those that do not consider emotional factors. As a result, the emotion analytics market is poised for growth as more companies recognize the value of integrating emotional data into their product development strategies.

Integration of Emotion Analytics in Customer Service

The integration of emotion analytics into customer service operations is becoming a pivotal driver for the emotion analytics market. Companies in South Korea are increasingly utilizing emotion recognition technologies to enhance customer interactions. By analyzing emotional cues during customer interactions, businesses can tailor their responses and improve service quality. This approach not only leads to higher customer satisfaction rates but also reduces churn. Studies suggest that organizations employing emotion analytics in customer service can achieve a 15% improvement in customer retention. As the competition intensifies, the adoption of emotion analytics in customer service is likely to become a standard practice, further propelling the growth of the emotion analytics market.

Market Segment Insights

Growing Demand for Customer Insights in Marketing

In South Korea, businesses are increasingly recognizing the significance of emotional analytics in refining their marketing strategies. With a young, digitally savvy population, brands such as Samsung and LG are leveraging emotion analytics to enhance customer experience and drive sales.

According to a report by the Ministry of Science and ICT, approximately 70% of South Korean consumers prefer brands that communicate with them emotionally. This growing inclination towards emotionally driven marketing can significantly boost the South Korea Emotion Analytics Market, as it emphasizes understanding customer sentiment through analytical tools.

Increased Adoption of Artificial Intelligence in Various Sectors

The integration of artificial intelligence and machine learning technologies is further enabling companies to obtain real-time insights into consumer sentiment, providing a competitive edge in the market. This development leads to more informed marketing approaches which are expected to enhance customer loyalty and conversion rates, supporting market growth in this sector.

The South Korean government has actively promoted the adoption of Artificial Intelligence technologies across various sectors, including healthcare, finance, and retail. The 2023 AI strategy outlined by the Ministry of Science and ICT emphasizes the need for smart technologies to improve operational efficiencies.

As a result, organizations such as Hyundai and SK Telecom are investing heavily in emotion analytics solutions that utilize AI for understanding consumer behavior.

Focus on Mental Health and Well-Being

It is estimated that by 2025, the AI market in South Korea will reach USD 10 billion, with a significant portion directed towards emotion analytics applications. This driver indicates a robust potential for the South Korea Emotion Analytics Market, as organizations look to incorporate emotion-driven insights into their strategic initiatives.

With increasing awareness around mental health issues in South Korea, there is a growing emphasis on emotional well-being across various demographics. Government initiatives, like the Mental Health Promotion Act, aim to address mental health with a focus on emotional analytics tools to monitor and improve individual health outcomes.

In 2022, surveys indicated that 40% of South Koreans reported experiencing stress-related issues. This creates a need for emotion analytics solutions, prompting healthcare providers and mental health organizations to adopt emotion recognition technologies.

This focus on mental health through advanced analytics corresponds to a significant opportunity for growth in the South Korea Emotion Analytics Market, as it addresses the urgent demands of society for improved emotional health support.

South Korea Emotion Analytics Market Segment Insights

Emotion Analytics Market Application Insights

The South Korea Emotion Analytics Market, particularly in the Application segment, is witnessing considerable growth driven by technological advancements and the increasing need for businesses to understand consumer sentiments.

As companies across various industries strive to enhance customer experiences, tools like Voice Analysis are becoming significant, enabling organizations to interpret emotions and sentiment from voice interactions effectively. This technology facilitates improved customer service strategies and fosters meaningful engagement.

Similarly, Facial Expression Recognition has emerged as a crucial component, allowing businesses to gauge customer reactions in real time. It is particularly prevalent in sectors like retail and entertainment, where understanding consumer emotion can directly affect purchase decisions and user experience.

Text Analysis, on the other hand, plays an essential role by extracting emotional sentiment and insights from unstructured data, such as social media posts and online reviews. This capability aids brands in adjusting their marketing strategies to align more closely with consumer preferences and sentiments.

Additionally, Psychographic Analysis offers deeper insights into customers’ personality traits, values, and interests, allowing marketers to tailor their approaches more effectively. The integration of these technologies fosters a comprehensive understanding of consumer behavior, driving significant advancements and operational efficiencies within the South Korean market.

Moreover, with the increasing data availability and the emphasis on customer-centric approaches, the relevance of these analytical methods is poised to expand, promising more personalized and data-driven strategies in the future.

Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

Emotion Analytics Market Deployment Type Insights

The South Korea Emotion Analytics Market is increasingly diversifying across various Deployment Types, primarily characterized by On-Premises and Cloud-Based solutions. On-Premises deployment has traditionally been favored by larger enterprises in South Korea due to heightened data security and control over proprietary information.

This is particularly relevant in industries such as finance and healthcare, where sensitive data management is critical. On the other hand, Cloud-Based solutions are gaining momentum, driven by the growing demand for flexibility and scalability, enabling organizations to adapt their emotion analytics capabilities promptly.

Cloud services also facilitate easier integration with other systems and applications, which is increasingly significant as businesses seek to leverage data analytics for improved decision-making. The growing trend of remote work in South Korea further bolsters the preference for Cloud-Based solutions as organizations strive for operational resilience.

As the landscape of the South Korea Emotion Analytics Market evolves, businesses are actively seeking solutions that offer a blend of robust performance and adaptability to meet their unique needs, reinforcing the importance of both deployment types in the overall market dynamics.

Emotion Analytics Market

The South Korea Emotion Analytics Market demonstrates a comprehensive segmentation by End-use, which plays a crucial role in driving market dynamics. The retail sector utilizes emotion analytics to enhance customer experiences, allowing brands to tailor their offerings based on consumer sentiments and preferences, thus increasing customer loyalty and sales.

In healthcare, emotion analytics has gained prominence for its potential to improve patient engagement and mental health assessments, supporting healthcare providers in delivering personalized care. The automotive industry increasingly integrates emotion analytics into vehicle systems, enhancing user experience by adjusting in-car environments based on driver emotional states.

In the media entertainment realm, understanding audience emotions enables content creators to produce tailored experiences that resonate better with viewers, significantly impacting consumer engagement. Lastly, education leverages emotion analytics to monitor student insights and emotional responses, promoting effective learning methodologies.

This diverse utilization reflects how the South Korea Emotion Analytics Market segmentation across various industries addresses specific needs and capitalizes on the growing recognition of emotional intelligence in data analysis.

Emotion Analytics Market Technology Insights

The South Korea Emotion Analytics Market within the Technology segment is experiencing significant growth, driven by advancements in data analysis and artificial intelligence. Key technologies include Machine Learning, Deep Learning, and Natural Language Processing, which are increasingly adopted across various industries for enhanced customer engagement and sentiment analysis.

The integration of Machine Learning facilitates pattern recognition and predictive analytics, allowing organizations to better understand consumer emotions and behaviors. Deep Learning, with its capacity for processing vast amounts of data, plays a crucial role in improving the accuracy of sentiment detection, enabling more nuanced insights.

Meanwhile, Natural Language Processing is vital for interpreting and analyzing human language, enhancing interactions through chatbots and automated feedback systems. As South Korea's digital landscape evolves, the demand for these technologies continues to expand, reflecting the country's commitment to innovation and technology development.

This steady growth is also influenced by factors such as the increasing usage of social media and the need for personalized customer experiences, which further fuels the advancement of technologies in the Emotion Analytics Market.

Get more detailed insights about South Korea Emotion Analytics Market

Key Players and Competitive Insights

The emotion analytics market in South Korea is characterized by a dynamic competitive landscape, driven by advancements in artificial intelligence (AI) and increasing demand for personalized customer experiences. Major players such as Microsoft (US), IBM (US), and Google (US) are at the forefront, leveraging their technological prowess to innovate and expand their offerings. Microsoft (US) focuses on integrating emotion analytics into its cloud services, enhancing user engagement through data-driven insights. IBM (US) emphasizes partnerships with local firms to tailor solutions that meet regional needs, while Google (US) invests heavily in AI research to refine its emotion recognition capabilities. Collectively, these strategies foster a competitive environment that prioritizes innovation and localized solutions.

Key business tactics within the market include localized product development and strategic partnerships aimed at optimizing supply chains. The competitive structure appears moderately fragmented, with a mix of established tech giants and emerging startups. This fragmentation allows for diverse approaches to emotion analytics, as companies seek to differentiate themselves through unique offerings and specialized services. The influence of key players is substantial, as their investments in technology and partnerships shape market trends and consumer expectations.

In October 2025, Microsoft (US) announced a collaboration with a South Korean telecommunications company to enhance its emotion analytics capabilities through real-time data integration. This strategic move is likely to bolster Microsoft's position in the market by providing localized solutions that cater to the specific needs of South Korean consumers, thereby enhancing user engagement and satisfaction. The partnership underscores the importance of regional collaborations in driving innovation and market penetration.

In September 2025, IBM (US) launched a new emotion analytics platform tailored for the retail sector, designed to analyze customer sentiment in real-time. This initiative reflects IBM's commitment to leveraging AI to improve customer experiences and optimize retail strategies. By focusing on the retail sector, IBM (US) aims to capture a significant share of the market, indicating a strategic pivot towards industry-specific solutions that address unique challenges faced by retailers.

In August 2025, Google (US) unveiled an advanced emotion recognition tool that utilizes machine learning algorithms to enhance user interaction across its platforms. This development signifies Google's ongoing investment in AI and its potential to redefine user engagement through more personalized experiences. The introduction of this tool may position Google (US) as a leader in the emotion analytics space, as it seeks to integrate these capabilities across its diverse product offerings.

As of November 2025, current trends in the emotion analytics market are heavily influenced by digitalization, sustainability, and the integration of AI technologies. Strategic alliances are increasingly shaping the competitive landscape, as companies recognize the value of collaboration in driving innovation. Looking ahead, competitive differentiation is expected to evolve, with a shift from price-based competition to a focus on technological innovation and supply chain reliability. This transition may redefine how companies approach market entry and customer engagement, emphasizing the need for agility and responsiveness in an ever-changing environment.

Key Companies in the South Korea Emotion Analytics Market market include

Industry Developments

By identifying stress patterns and emotional indications in user behavior, AhnLab improved cybersecurity and endpoint protection technologies in South Korea in June 2024 by integrating emotion detection into its AI-driven Digital Trust platform.

To provide more intuitive and emotionally responsive conversational AI for Korean customers, Naver extended its HyperCLOVA X big language model in January 2025 to include emotion-aware chat capabilities throughout its messaging and smart device ecosystem.

At CES 2025, LG Electronics reaffirmed its "affectionate intelligence" efforts by incorporating speech and emotion sensors into its AI Home Hub (FURON) and next-generation ThinQ platform to facilitate compassionate interactions in both home and mobility settings.

In March 2024, Kakao introduced the Kakao i voice assistant prototype, an emotion-sensing device designed for the Korean telecom, banking, and customer care markets that can use tone analysis to determine a client's mood.

Last but not least, in late 2023, Samsung SDS, the company's IT services subsidiary, unveiled emotion-aware chatbot modules inside its Brity AI platform, giving businesses in the telecom, insurance, and financial sectors the capacity to instantly gauge customer sentiment and modify conversational replies appropriately.

With local tech leaders integrating emotional intelligence into consumer-facing and business-to-business platforms, these developments collectively demonstrate a quickly developing emotion analytics ecosystem throughout South Korea, encompassing cybersecurity, conversational AI, home automation, and enterprise-grade customer engagement.

Future Outlook

South Korea Emotion Analytics Market Future Outlook

The emotion analytics market is projected to grow at a 20.32% CAGR from 2024 to 2035. This growth is driven by advancements in AI, increased demand for customer insights, and enhanced data analytics capabilities.

New opportunities lie in:

  • Development of AI-driven sentiment analysis tools for real-time customer feedback.
  • Integration of emotion analytics in HR for employee engagement and retention strategies.
  • Creation of tailored marketing solutions leveraging emotional data insights for targeted campaigns.

By 2035, the emotion analytics market is expected to be a pivotal component of strategic business operations.

Market Segmentation

South Korea Emotion Analytics Market End Use Outlook

  • Retail
  • Healthcare
  • Automotive
  • Media Entertainment
  • Education

South Korea Emotion Analytics Market Technology Outlook

  • Machine Learning
  • Deep Learning
  • Natural Language Processing

South Korea Emotion Analytics Market Application Outlook

  • Voice Analysis
  • Facial Expression Recognition
  • Text Analysis
  • Psychographic Analysis

South Korea Emotion Analytics Market Deployment Type Outlook

  • On-Premises
  • Cloud-Based

Report Scope

MARKET SIZE 2024 108.04(USD Million)
MARKET SIZE 2025 129.99(USD Million)
MARKET SIZE 2035 826.68(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR) 20.32% (2024 - 2035)
REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR 2024
Market Forecast Period 2025 - 2035
Historical Data 2019 - 2024
Market Forecast Units USD Million
Key Companies Profiled Microsoft (US), IBM (US), Google (US), Amazon (US), NVIDIA (US), Cerebri AI (CA), Affectiva (US), Realeyes (GB), Beyond Verbal (IL), Emotient (US)
Segments Covered Application, Deployment Type, End Use, Technology
Key Market Opportunities Integration of artificial intelligence in emotion analytics enhances consumer insights and engagement strategies.
Key Market Dynamics Rising demand for emotion analytics tools driven by consumer behavior shifts and technological advancements in South Korea.
Countries Covered South Korea

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FAQs

What is the expected market size of the South Korea Emotion Analytics Market in 2024?

The South Korea Emotion Analytics Market is expected to be valued at 82.81 million USD in 2024.

How much is the South Korea Emotion Analytics Market projected to grow by 2035?

By 2035, the market is projected to reach a value of 387.27 million USD.

What is the expected CAGR for the South Korea Emotion Analytics Market from 2025 to 2035?

The market is expected to grow at a CAGR of 15.054% from 2025 to 2035.

Which application segment is expected to dominate the South Korea Emotion Analytics Market by 2035?

Facial Expression Recognition is expected to be a dominating application segment, projected to reach 130.0 million USD by 2035.

What is the expected market value for Voice Analysis in 2035?

Voice Analysis is expected to be valued at 90.0 million USD in 2035.

Who are the major players in the South Korea Emotion Analytics Market?

Key players in the market include Mimica, Hankook Tire, AhnLab, Goat Technologies, Naver, LG Electronics, and Samsung SDS.

What will be the market value for Text Analysis in 2024?

Text Analysis is anticipated to be valued at 18.0 million USD in 2024.

Is there an emerging trend in psychographic analysis within the South Korea Emotion Analytics Market?

Yes, psychographic analysis is expected to grow to 92.27 million USD by 2035, indicating a significant emerging trend.

What is the projected market value for Facial Expression Recognition in 2024?

Facial Expression Recognition is expected to be valued at 25.0 million USD in 2024.

What growth drivers are influencing the South Korea Emotion Analytics Market?

The integration of AI technologies and increasing demand for personalized user experiences are key growth drivers in the market.

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