Emotion AI Market is growing at a CAGR of 22.7% from 2023 to 2032

The global 𝐄𝐦𝐨𝐭𝐢𝐨𝐧 𝐀𝐈 𝐌𝐚𝐫𝐤𝐞𝐭 was valued at $1.8 billion in 2022, and is projected to reach $13.8 billion by 2032, growing at a CAGR of 22.7% from 2023 to 2032. Substantial growth in AI and ML technologies, the increase in adoption of biometrics and facial recognition and surge in the usage of emotion detection solutions in several industries are the major factors that drive the growth of the global Emotion AI market. However, the high cost of application and development, and data storage and management hamper market growth. Furthermore, integration in IoT-based technologies and expansion of wearable devices in various applications creates ample opportunities for the emotion AI market.

𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐒𝐚𝐦𝐩𝐥𝐞 𝐑𝐞𝐩𝐨𝐫𝐭 (𝐆𝐞𝐭 𝐅𝐮𝐥𝐥 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐢𝐧 𝐏𝐃𝐅 - 257 𝐏𝐚𝐠𝐞𝐬) 𝐚𝐭: https://www.alliedmarketresearch.com/request-sample/A231628

Emotion AI is a type of AI that analyses, propagates, and acknowledges human emotions. It is also known as affective computing or affective AI. It concentrates on facial movement analysis, voice emotion AI, sentiment analysis, and natural language processing. Emotion AI provides potential benefits for businesses across various domains. It can study emotions and behavior patterns to develop customized experiences. It can recommend TV shows and movies as per user's preferences and emotional state. Emotion AI can assist streaming services to analyze customer feedback and complaints which improve their services.

Based on enterprise size, the large enterprises segment accounted for the largest share in 2022, contributing to around two-thirds of the emotion AI market revenue and is estimated to rule the roost throughout the forecast timeframe. This is because emotion AI solutions are increasingly deployed in these organizations. These factors further drive the demand for this segment in the global market. However, the small and medium-sized enterprises segment is expected to portray the largest CAGR of 24.7% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. The growth of this segment is mainly driven by the cost-efficient solutions provided by various organizations.

𝐁𝐮𝐲 𝐍𝐨𝐰 & 𝐆𝐞𝐭 𝐄𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭 𝐨𝐧 𝐭𝐡𝐢𝐬 𝐑𝐞𝐩𝐨𝐫𝐭 : https://www.alliedmarketresearch.com/emotion-ai-market/purchase-options

𝐓𝐡𝐞 𝐤𝐞𝐲 𝐩𝐥𝐚𝐲𝐞𝐫𝐬 𝐩𝐫𝐨𝐟𝐢𝐥𝐞𝐝 𝐢𝐧 𝐭𝐡𝐢𝐬 𝐫𝐞𝐩𝐨𝐫𝐭 𝐢𝐧𝐜𝐥𝐮𝐝𝐞

𝐄𝐦𝐨𝐭𝐢𝐛𝐨𝐭, 𝐈𝐁𝐌 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐢𝐨𝐧, 𝐀𝐩𝐩𝐥𝐞, 𝐈𝐧𝐜., 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐢𝐨𝐧, 𝐀𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐚, 𝐂𝐨𝐠𝐢𝐭𝐨 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐢𝐨𝐧, 𝐍𝐮𝐫𝐚𝐋𝐨𝐠𝐢𝐱 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐢𝐨𝐧, 𝐂𝐢𝐩𝐢𝐚 𝐕𝐢𝐬𝐢𝐨𝐧 𝐋𝐭𝐝., 𝐑𝐞𝐚𝐥𝐞𝐲𝐞𝐬, 𝐍𝐕𝐈𝐒𝐎

Based on region, the North America segment held the highest market share in terms of revenue in 2022, accounting for more than one-third of the emotion AI market revenue. The region's robust industrial sector, including manufacturing, automotive, and logistics, has been an early adopter of emotion AI, which is further anticipated to propel the growth of the market in this region. However, Asia-Pacific is expected to witness the fastest CAGR of 25.9% from 2023 to 2032 and is likely to enhance the market growth during the forecast period. As the key players are investing heavily in automation and emotion AI to enhance productivity, efficiency, and address labor shortages are expected to provide lucrative growth opportunities for the market in this region, which is expected to provide lucrative growth opportunities for the market in this region.

𝐆𝐞𝐭 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐞𝐝 𝐑𝐞𝐩𝐨𝐫𝐭𝐬 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮'𝐫𝐞 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬: https://www.alliedmarketresearch.com/request-for-customization/A231628

Based on application, the retail and e-commerce segment held the highest market share in 2022, accounting for around one-fourth of the emotion AI market revenue and is estimated to maintain its leadership status throughout the forecast period. The increase in demand for personalized content recommendations in this industry further creates lucrative opportunities for the global market. However, the media and entertainment segment is projected to manifest the highest CAGR of 28.2% from 2023 to 2032. Rise in the integration of facial recognition and gesture recognition techniques in these industries is further expected to propel global market growth.

𝐈𝐧𝐪𝐮𝐢𝐫𝐲 𝐁𝐞𝐟𝐨𝐫𝐞 𝐁𝐮𝐲𝐢𝐧𝐠: https://www.alliedmarketresearch.com/purchase-enquiry/A231628

Based on component, the software segment held the highest market share in 2022, accounting for more than two-thirds of the emotion AI market revenue and is estimated to maintain its leadership status throughout the forecast period. The surge in technological breakthroughs in several industries has proliferated numerous opportunities for the software segment in the market. However, the service segment is expected to portray the largest CAGR of 25.4% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. As emotion AI services are increasingly implemented in various industries.

𝐎𝐭𝐡𝐞𝐫 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐑𝐞𝐩𝐨𝐫𝐭𝐬:

AI in IoT Market - https://www.alliedmarketresearch.com/ai-in-iot-market-A12590

Web Analytics Market - https://www.alliedmarketresearch.com/web-analytics-market-A05971

Process Analytics Market - https://www.alliedmarketresearch.com/process-analytics-market

𝐂𝐨𝐧𝐭𝐚𝐜𝐭:

David Correa
5933 NE Win Sivers Drive
#205, Portland, OR 97220
United States
Toll-Free: 1-800-792-5285
UK: +44-845-528-1300
Hong Kong: +852-301-84916
India (Pune): +91-20-66346060
Fax: +1-855-550-5975
help@alliedmarketresearch.com
Web: https://www.alliedmarketresearch.com
Follow Us on: LinkedIn Twitter

𝐀𝐛𝐨𝐮𝐭 𝐔𝐬

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

Pawan Kumar, the CEO of Allied Market Research, is leading the organization toward providing high-quality data and insights. We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

This release was published on openPR.