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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

By Application: Text Analysis (Largest) vs. Voice Analysis (Fastest-Growing)

In the South Korea emotion analytics market, Text Analysis currently holds the largest market share, benefiting from its widespread applications in various sectors such as marketing and customer service. Voice Analysis is rapidly gaining traction, showcasing significant growth due to advancements in AI technologies and increased demand for real-time emotional insights during customer interactions. Growth trends indicate a rising interest in Emotion Analytics, particularly driven by the need for improved customer engagement and personalized experiences. Voice Analysis is emerging as a fastest-growing segment as businesses increasingly adopt technologies that interpret emotions via voice, while Text Analysis remains robust, supporting the ongoing demand for data-driven insights in business strategies.

Text Analysis: Dominant vs. Voice Analysis: Emerging

Text Analysis is the dominant force in the South Korea emotion analytics market, providing businesses with deep insights into consumer sentiments through various textual mediums. Its applications range from analyzing feedback to monitoring social media sentiments, making it invaluable for organizations looking to enhance customer satisfaction. Conversely, Voice Analysis is an emerging segment that leverages voice recognition and AI to capture emotional cues, enabling real-time adaptations in customer service and engagement. As companies strive to connect more deeply with consumers, Voice Analysis is making significant inroads, highlighting the dynamic shift towards integrating emotional nuances in customer interactions.

By Deployment Type: Cloud-Based (Largest) vs. On-Premises (Fastest-Growing)

In the South Korea emotion analytics market, deployment types are categorized primarily into cloud-based and on-premises solutions. Currently, cloud-based deployment dominates the market, preferred for its scalability, cost-effectiveness, and ease of integration with existing systems. Meanwhile, on-premises solutions, while trailing behind in overall market share, are rapidly gaining traction due to increased demand for data security and control, catering to organizations that prioritize these features. The growth trends indicate a robust shift towards cloud-based platforms as businesses recognize the value of accessible analytics. However, on-premises solutions are being propelled by sectors that demand rigorous compliance and data governance, making them not just relevant but the fastest-growing segment. Both types are evolving, with increased innovations being introduced to enhance functionality and user experience.

Cloud-Based (Dominant) vs. On-Premises (Emerging)

Cloud-based deployment is characterized by its flexibility, allowing businesses to access analytic tools and data in real-time from various locations. This approach aligns well with the growing trend of remote work and the need for collaborative tools. On the other hand, on-premises solutions offer a level of data security and control that some industries require, particularly in sectors like finance and healthcare. This ongoing demand for customizable and secure environments is making on-premises solutions an emergent choice in the South Korea emotion analytics market. While cloud-based options continue to dominate, the versatility and tailored experience provided by on-premises systems enable them to carve a significant niche, thereby contributing to their rapid growth.

By End Use: Retail (Largest) vs. Healthcare (Fastest-Growing)

In the South Korea emotion analytics market, the retail sector commands the largest share, reflecting the increasing application of emotion recognition technologies in enhancing customer experiences and personalizing marketing strategies. The healthcare sector, while smaller in comparison, is emerging with significant growth potential as healthcare providers turn to emotion analytics for improved patient engagement and outcomes. Currently, the growth trends in this market are driven by innovations in artificial intelligence and machine learning, which enhance the accuracy and applicability of emotion analytics across different sectors. Specifically, sectors like automotive and media entertainment are also witnessing rising adoption rates, yet retail and healthcare remain the focal points for advancements. The consumer demand for personalized experiences continues to propel the market forward, positioning these sectors for ongoing expansion.

Retail: Dominant vs. Healthcare: Emerging

The retail segment is characterized by extensive use cases ranging from facial recognition at checkout to personalized digital marketing campaigns. Retailers leverage emotion analytics to gain insights into customer behavior, leading to enhanced customer service and increased sales. Meanwhile, the healthcare segment is rapidly gaining traction, employing emotion analytics to assess patient emotions during diagnostics and treatment. This allows for a more tailored approach to patient care, fostering improved treatment adherence and satisfaction. The synergy between data analytics, consumer insights, and technological advancements positions retail as the dominant force while healthcare represents an emerging opportunity within the market.

By Technology: Machine Learning (Largest) vs. Deep Learning (Fastest-Growing)

In the South Korea emotion analytics market, Machine Learning has emerged as the leading technology, commanding a significant share of the segment. It has established a strong foothold due to its versatility and efficacy in analyzing emotions from various data inputs. In contrast, Deep Learning is capturing attention with its potential to process complex emotions and is experiencing rapid adoption, making it the fastest-growing technology within this segment. Natural Language Processing, while essential, currently holds a smaller market share as it is often integrated into larger machine learning frameworks. The growth trends in this segment are driven by the increasing demand for real-time emotion detection and sentiment analysis across various industries. Machine Learning techniques are consistently evolving, benefiting from advancements in computational power and data availability. Moreover, the rise of AI-driven applications has led to greater emphasis on utilizing technologies like Deep Learning, which can enhance emotion recognition accuracy. As organizations seek more sophisticated tools to gauge emotional responses, the importance of these technologies will continue to rise in the South Korea emotion analytics market.

Technology: Machine Learning (Dominant) vs. Deep Learning (Emerging)

Machine Learning is currently the dominant technology in the segment, characterized by its wide applicability and effectiveness in processing structured and unstructured data to derive emotional insights. Its ability to adapt and learn from data patterns makes it a preferred choice for many enterprises. On the other hand, Deep Learning, being an emerging technology, offers unparalleled proficiency in handling intricate emotion recognition tasks through neural networks. Its unique capacity to analyze vast amounts of unstructured data has gained traction among businesses looking for deeper insights into customer emotions, positioning it as a critical player in the evolving landscape of emotion analytics.

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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