The Global AI-powered Emotion Analytics Platform Market size is expected to reach USD 26.54 billion by 2032, rising at a market growth of 17.7% CAGR during the forecast period.
Key Highlights:
- The North America market dominated the Global Market in 2024, accounting for a 38% revenue share in 2024.
- The US AI server market is expected to continue its dominance in North America region thereby reaching a market size of 467.1 million by 2032.
- Among the various End-User segments, the Healthcare dominated the global market contributing a revenue share of 23.13% in 2024.
- In terms of the Technology segmentation, the Facial Recognition segment is projected to dominate the global market with the projected revenue share of 26.71% in 2032.
- Cloud led the deployment segments in 2024, capturing a 63.63% revenue share and is projected to continue its dominance during projected period.
Artificial intelligence (AI) emotion analytics, also known as affective computing, has come a long way since the early days of sentiment analysis and facial recognition. Now, it can use facial, voice, physiological, and behavioral signals to figure out how someone is feeling. Technology started out as an experiment, but now it's used in real-world applications in fields like healthcare, automotive safety, customer service, media, and education. Deep learning, computer vision, natural language processing, and sensor technology have all improved. This has made it possible to put strong, real-time, and privacy-aware systems in cars, smart devices, and digital platforms. One important trend is the shift toward multimodal, edge-based analytics that make things more accurate, faster, and private. At the same time, ethical and legal issues about privacy, consent, and bias are affecting development. Governments and businesses are putting more emphasis on openness, fairness, and accountability.
Personalization and adaptive experiences are two more ways to define the market. For example, emotion analytics changes healthcare interventions, customer journeys in retail, and vehicle safety and comfort. To get access to specialized algorithms and embed capabilities into hardware, leading companies use strategies like acquisitions and partnerships. They also invest in research and development to make their models more robust and proactive governance to build trust. Large technology OEMs, niche startups, sensor makers, and vertical specialists are all competing more fiercely with each other. Success depends on being accurate, following the rules, and gaining the trust of users. Cross-industry partnerships and quick progress in adaptive feedback, multimodal analytics, and edge computing keep opening new possibilities while also dealing with the challenges of working with emotional data.
COVID 19 Impact Analysis
As companies adjusted to working from home and dealing with customers online during the COVID-19 pandemic, the use of emotion analytics grew faster. Businesses used AI-powered platforms to read emotions digitally, which improved communication between employees and customers because face-to-face contact was limited. These tools gave us useful information about how people behave online, which let us offer personalized services and keep an eye on how well employees are doing. The technology spread to schools and hospitals, where it helped measure how engaged students were in online learning and improve communication between doctors and patients in telemedicine. Real-time emotional data became very important for making quick, smart decisions in marketing, HR, and customer service. Overall, the pandemic made emotion analytics much more visible, in demand, and useful in many fields. Thus, the COVID -19 pandemic had a Positive impact on the market.
Market Share Analysis
Technology Outlook
Based on Technology, the AI-powered Emotion Analytics Platform Market is segmented into Facial Recognition, Multimodal Emotion Recognition, Speech & Voice Analysis, Text-based Emotion Detection (NLP), and Physiological Monitoring (wearables, biometrics). The Multimodal Emotion Recognition segment witnessed 24% revenue share in the market in 2024. Multimodal emotion recognition emerged as a sophisticated approach by integrating data from multiple sources such as facial expressions, voice tone, text inputs, and physiological signals. This technology provided a holistic view of emotions, overcoming the limitations of relying on a single channel of detection. Organizations found immense value in combining multimodal signals to achieve more accurate interpretations, particularly in complex environments like healthcare, education, and human resources. By leveraging a diverse set of data points, businesses could detect nuances such as mixed emotions or subtle discrepancies between spoken words and facial expressions.
End-User Outlook
Based on End-User, the AI-powered Emotion Analytics Platform Market is segmented into Healthcare, Retail & E-commerce, Automotive & Transportation, Media & Entertainment, IT (tech firms, CX platforms, enterprise apps), Education, Government & Public Safety, BFSI, and Others. The Retail & E-commerce segment witnessed 20% revenue share in the market in 2024. Retail and e-commerce enterprises utilized emotion analytics to gain deeper insight into customer behavior, preferences, and reactions across digital and physical touchpoints. Online shopping platforms leveraged text, voice, and facial analytics to measure satisfaction levels and personalize product recommendations. Physical retail spaces integrated video-based emotion recognition to track customer responses to store layouts, product displays, or advertisements.
Regional Outlook
Region-wise, the AI-powered Emotion Analytics Platform Market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 38% revenue share in the market in 2024. North America and Europe are the top regions in the AI emotion analytics market. This is because they have strong technology infrastructure, a lot of people use advanced AI systems, and there are strict rules about data privacy. In North America, especially the US, emotion analytics is widely used in areas like healthcare, automotive safety, customer experience, and media, with support from both big tech companies and new businesses. On the other hand, Europe has a well-regulated environment, and the EU's focus on ethical AI, data protection, and openness encourages responsible use. Germany, the UK, and France are all working to include emotion analytics in their cars, healthcare, and public services while also making sure they follow GDPR and new AI rules.
Asia-Pacific and LAMEA (not including Mexico) are growing quickly because more people are using technology and the markets for these systems are getting bigger. In Asia-Pacific, countries like China, Japan, South Korea, and India are using emotion analytics in cars, schools, stores, and mental health apps. This is possible because of government-led AI projects and strong consumer electronics industries. Brazil, Saudi Arabia, the UAE, and South Africa are all using emotion AI more and more in projects to make cities smarter, engage customers, and keep people safe. Adoption is still growing here, but not as quickly as in North America and Europe. However, the growing focus on AI-driven innovation and the growing investments in digital infrastructure make these areas great places for emotion analytics providers to grow.
List of Key Companies Profiled
- Runtime Collective Limited (Brandwatch)
- Sprout Social, Inc.
- IBM Corporation
- Apple, Inc.
- NEC Corporation
- OpenText Corporation
- iMotions A/S (Smart Eye A/S)
- Lexalytics, Inc.
- NVISO SA
- Emotibot Technologies Limited
- Microsoft Corporation
Global AI-powered Emotion Analytics Platform Market Report Segmentation
By Deployment
By Technology
- Facial Recognition
- Multimodal Emotion Recognition
- Speech & Voice Analysis
- Text-based Emotion Detection (NLP)
- Physiological Monitoring (wearables, biometrics)
By End User
- Healthcare
- Retail & E-commerce
- Automotive & Transportation
- Media & Entertainment
- IT (tech firms, CX platforms, enterprise apps)
- Education
- Government & Public Safety
- BFSI
- Other End-Users
By Geography
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Global AI-powered Emotion Analytics Platform Market, by Deployment
- 1.4.2 Global AI-powered Emotion Analytics Platform Market, by Technology
- 1.4.3 Global AI-powered Emotion Analytics Platform Market, by End User
- 1.4.4 Global AI-powered Emotion Analytics Platform Market, by Geography
- 1.5 Methodology for the research
Chapter 2. Market at a Glance
Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
- 3.2.3 Market Opportunities
- 3.2.4 Market Challenges
Chapter 4. Market Trends - Global AI-powered Emotion Analytics Platform Market
Chapter 5. State of Competition - Global AI-powered Emotion Analytics Platform Market
Chapter 6. Value Chain Analysis of AI-powered Emotion Analytics Platform Market
Chapter 7. Product Life Cycle (PLC) - AI-powered Emotion Analytics Platform Market
Chapter 8. Market Consolidation - AI-powered Emotion Analytics Platform Market
Chapter 9. Key Customer Criteria - AI-powered Emotion Analytics Platform Market
Chapter 10. Competition Analysis - Global
- 10.1 Market Share Analysis, 2024
- 10.2 Porter Five Forces Analysis
Chapter 11. Global AI-powered Emotion Analytics Platform Market by Deployment
- 11.1 Global Cloud Market by Region
- 11.2 Global On-premises Market by Region
Chapter 12. Global AI-powered Emotion Analytics Platform Market by Technology
- 12.1 Global Facial Recognition Market by Region
- 12.2 Global Multimodal Emotion Recognition Market by Region
- 12.3 Global Speech & Voice Analysis Market by Region
- 12.4 Global Text-based Emotion Detection (NLP) Market by Region
- 12.5 Global Physiological Monitoring (wearables, biometrics) Market by Region
Chapter 13. Global AI-powered Emotion Analytics Platform Market by End-User
- 13.1 Global Healthcare Market by Region
- 13.2 Global Retail & E-commerce Market by Region
- 13.3 Global Automotive & Transportation Market by Region
- 13.4 Global Media & Entertainment Market by Region
- 13.5 Global IT (tech firms, CX platforms, enterprise apps) Market by Region
- 13.6 Global Education Market by Region
- 13.7 Global Government & Public Safety Market by Region
- 13.8 Global BFSI Market by Region
- 13.9 Global Other End-Users Market by Region
Chapter 14. Global AI-powered Emotion Analytics Platform Market by Region
- 14.1 North America AI-powered Emotion Analytics Platform Market
- 14.2 Key Factors Impacting the Market
- 14.2.1 Market Drivers
- 14.2.2 Market Restraints
- 14.2.3 Market Opportunities
- 14.2.4 Market Challenges
- 14.2.5 Market Trends - North America AI-powered Emotion Analytics Platform Market
- 14.2.6 State of Competition - North America AI-powered Emotion Analytics Platform Market
- 14.2.7 North America AI-powered Emotion Analytics Platform Market by Deployment
- 14.2.7.1 North America Cloud Market by Country
- 14.2.7.2 North America On-premises Market by Country
- 14.2.8 North America AI-powered Emotion Analytics Platform Market by Technology
- 14.2.8.1 North America Facial Recognition Market by Country
- 14.2.8.2 North America Multimodal Emotion Recognition Market by Country
- 14.2.8.3 North America Speech & Voice Analysis Market by Country
- 14.2.8.4 North America Text-based Emotion Detection (NLP) Market by Country
- 14.2.8.5 North America Physiological Monitoring (wearables, biometrics) Market by Country
- 14.2.9 North America AI-powered Emotion Analytics Platform Market by End-User
- 14.2.9.1 North America Healthcare Market by Country
- 14.2.9.2 North America Retail & E-commerce Market by Country
- 14.2.9.3 North America Automotive & Transportation Market by Country
- 14.2.9.4 North America Media & Entertainment Market by Country
- 14.2.9.5 North America IT (tech firms, CX platforms, enterprise apps) Market by Country
- 14.2.9.6 North America Education Market by Country
- 14.2.9.7 North America Government & Public Safety Market by Country
- 14.2.9.8 North America BFSI Market by Country
- 14.2.9.9 North America Other End-Users Market by Country
- 14.2.10 North America AI-powered Emotion Analytics Platform Market by Country
- 14.2.10.1 US AI-powered Emotion Analytics Platform Market
- 14.2.10.1.1 US AI-powered Emotion Analytics Platform Market by Deployment
- 14.2.10.1.2 US AI-powered Emotion Analytics Platform Market by Technology
- 14.2.10.1.3 US AI-powered Emotion Analytics Platform Market by End-User
- 14.2.10.2 Canada AI-powered Emotion Analytics Platform Market
- 14.2.10.2.1 Canada AI-powered Emotion Analytics Platform Market by Deployment
- 14.2.10.2.2 Canada AI-powered Emotion Analytics Platform Market by Technology
- 14.2.10.2.3 Canada AI-powered Emotion Analytics Platform Market by End-User
- 14.2.10.3 Mexico AI-powered Emotion Analytics Platform Market
- 14.2.10.3.1 Mexico AI-powered Emotion Analytics Platform Market by Deployment
- 14.2.10.3.2 Mexico AI-powered Emotion Analytics Platform Market by Technology
- 14.2.10.3.3 Mexico AI-powered Emotion Analytics Platform Market by End-User
- 14.2.10.4 Rest of North America AI-powered Emotion Analytics Platform Market
- 14.2.10.4.1 Rest of North America AI-powered Emotion Analytics Platform Market by Deployment
- 14.2.10.4.2 Rest of North America AI-powered Emotion Analytics Platform Market by Technology
- 14.2.10.4.3 Rest of North America AI-powered Emotion Analytics Platform Market by End-User
- 14.3 Europe AI-powered Emotion Analytics Platform Market
- 14.4 Key Factors Impacting the Market
- 14.4.1 Market Drivers
- 14.4.2 Market Restraints
- 14.4.3 Market Opportunities
- 14.4.4 Market Challenges
- 14.4.5 Market Trends - Europe AI-powered Emotion Analytics Platform Market
- 14.4.6 State of Competition - Europe AI-powered Emotion Analytics Platform Market
- 14.4.7 Europe AI-powered Emotion Analytics Platform Market by Deployment
- 14.4.7.1 Europe Cloud Market by Country
- 14.4.7.2 Europe On-premises Market by Country
- 14.4.8 Europe AI-powered Emotion Analytics Platform Market by Technology
- 14.4.8.1 Europe Facial Recognition Market by Country
- 14.4.8.2 Europe Multimodal Emotion Recognition Market by Country
- 14.4.8.3 Europe Speech & Voice Analysis Market by Country
- 14.4.8.4 Europe Text-based Emotion Detection (NLP) Market by Country
- 14.4.8.5 Europe Physiological Monitoring (wearables, biometrics) Market by Country
- 14.4.9 Europe AI-powered Emotion Analytics Platform Market by End-User
- 14.4.9.1 Europe Healthcare Market by Country
- 14.4.9.2 Europe Retail & E-commerce Market by Country
- 14.4.9.3 Europe Automotive & Transportation Market by Country
- 14.4.9.4 Europe Media & Entertainment Market by Country
- 14.4.9.5 Europe IT (tech firms, CX platforms, enterprise apps) Market by Country
- 14.4.9.6 Europe Education Market by Country
- 14.4.9.7 Europe Government & Public Safety Market by Country
- 14.4.9.8 Europe BFSI Market by Country
- 14.4.9.9 Europe Other End-Users Market by Country
- 14.4.10 Europe AI-powered Emotion Analytics Platform Market by Country
- 14.4.10.1 Germany AI-powered Emotion Analytics Platform Market
- 14.4.10.1.1 Germany AI-powered Emotion Analytics Platform Market by Deployment
- 14.4.10.1.2 Germany AI-powered Emotion Analytics Platform Market by Technology
- 14.4.10.1.3 Germany AI-powered Emotion Analytics Platform Market by End-User
- 14.4.10.2 UK AI-powered Emotion Analytics Platform Market
- 14.4.10.2.1 UK AI-powered Emotion Analytics Platform Market by Deployment
- 14.4.10.2.2 UK AI-powered Emotion Analytics Platform Market by Technology
- 14.4.10.2.3 UK AI-powered Emotion Analytics Platform Market by End-User
- 14.4.10.3 France AI-powered Emotion Analytics Platform Market
- 14.4.10.3.1 France AI-powered Emotion Analytics Platform Market by Deployment
- 14.4.10.3.2 France AI-powered Emotion Analytics Platform Market by Technology
- 14.4.10.3.3 France AI-powered Emotion Analytics Platform Market by End-User
- 14.4.10.4 Russia AI-powered Emotion Analytics Platform Market
- 14.4.10.4.1 Russia AI-powered Emotion Analytics Platform Market by Deployment
- 14.4.10.4.2 Russia AI-powered Emotion Analytics Platform Market by Technology
- 14.4.10.4.3 Russia AI-powered Emotion Analytics Platform Market by End-User
- 14.4.10.5 Spain AI-powered Emotion Analytics Platform Market
- 14.4.10.5.1 Spain AI-powered Emotion Analytics Platform Market by Deployment
- 14.4.10.5.2 Spain AI-powered Emotion Analytics Platform Market by Technology
- 14.4.10.5.3 Spain AI-powered Emotion Analytics Platform Market by End-User
- 14.4.10.6 Italy AI-powered Emotion Analytics Platform Market
- 14.4.10.6.1 Italy AI-powered Emotion Analytics Platform Market by Deployment
- 14.4.10.6.2 Italy AI-powered Emotion Analytics Platform Market by Technology
- 14.4.10.6.3 Italy AI-powered Emotion Analytics Platform Market by End-User
- 14.4.10.7 Rest of Europe AI-powered Emotion Analytics Platform Market
- 14.4.10.7.1 Rest of Europe AI-powered Emotion Analytics Platform Market by Deployment
- 14.4.10.7.2 Rest of Europe AI-powered Emotion Analytics Platform Market by Technology
- 14.4.10.7.3 Rest of Europe AI-powered Emotion Analytics Platform Market by End-User
- 14.5 Asia Pacific AI-powered Emotion Analytics Platform Market
- 14.6 Key Factors Impacting the Market
- 14.6.1 Market Drivers
- 14.6.2 Market Restraints
- 14.6.3 Market Opportunities
- 14.6.4 Market Challenges
- 14.6.5 Market Trends - Asia Pacific AI-powered Emotion Analytics Platform Market
- 14.6.6 State of Competition - Asia Pacific AI-powered Emotion Analytics Platform Market
- 14.6.7 Asia Pacific AI-powered Emotion Analytics Platform Market by Deployment
- 14.6.7.1 Asia Pacific Cloud Market by Country
- 14.6.7.2 Asia Pacific On-premises Market by Country
- 14.6.8 Asia Pacific AI-powered Emotion Analytics Platform Market by Technology
- 14.6.8.1 Asia Pacific Facial Recognition Market by Country
- 14.6.8.2 Asia Pacific Multimodal Emotion Recognition Market by Country
- 14.6.8.3 Asia Pacific Speech & Voice Analysis Market by Country
- 14.6.8.4 Asia Pacific Text-based Emotion Detection (NLP) Market by Country
- 14.6.8.5 Asia Pacific Physiological Monitoring (wearables, biometrics) Market by Country
- 14.6.9 Asia Pacific AI-powered Emotion Analytics Platform Market by End-User
- 14.6.9.1 Asia Pacific Healthcare Market by Country
- 14.6.9.2 Asia Pacific Retail & E-commerce Market by Country
- 14.6.9.3 Asia Pacific Automotive & Transportation Market by Country
- 14.6.9.4 Asia Pacific Media & Entertainment Market by Country
- 14.6.9.5 Asia Pacific IT (tech firms, CX platforms, enterprise apps) Market by Country
- 14.6.9.6 Asia Pacific Education Market by Country
- 14.6.9.7 Asia Pacific Government & Public Safety Market by Country
- 14.6.9.8 Asia Pacific BFSI Market by Country
- 14.6.9.9 Asia Pacific Other End-Users Market by Country
- 14.6.10 Asia Pacific AI-powered Emotion Analytics Platform Market by Country
- 14.6.10.1 China AI-powered Emotion Analytics Platform Market
- 14.6.10.1.1 China AI-powered Emotion Analytics Platform Market by Deployment
- 14.6.10.1.2 China AI-powered Emotion Analytics Platform Market by Technology
- 14.6.10.1.3 China AI-powered Emotion Analytics Platform Market by End-User
- 14.6.10.2 Japan AI-powered Emotion Analytics Platform Market
- 14.6.10.2.1 Japan AI-powered Emotion Analytics Platform Market by Deployment
- 14.6.10.2.2 Japan AI-powered Emotion Analytics Platform Market by Technology
- 14.6.10.2.3 Japan AI-powered Emotion Analytics Platform Market by End-User
- 14.6.10.3 India AI-powered Emotion Analytics Platform Market
- 14.6.10.3.1 India AI-powered Emotion Analytics Platform Market by Deployment
- 14.6.10.3.2 India AI-powered Emotion Analytics Platform Market by Technology
- 14.6.10.3.3 India AI-powered Emotion Analytics Platform Market by End-User
- 14.6.10.4 South Korea AI-powered Emotion Analytics Platform Market
- 14.6.10.4.1 South Korea AI-powered Emotion Analytics Platform Market by Deployment
- 14.6.10.4.2 South Korea AI-powered Emotion Analytics Platform Market by Technology
- 14.6.10.4.3 South Korea AI-powered Emotion Analytics Platform Market by End-User
- 14.6.10.5 Australia AI-powered Emotion Analytics Platform Market
- 14.6.10.5.1 Australia AI-powered Emotion Analytics Platform Market by Deployment
- 14.6.10.5.2 Australia AI-powered Emotion Analytics Platform Market by Technology
- 14.6.10.5.3 Australia AI-powered Emotion Analytics Platform Market by End-User
- 14.6.10.6 Malaysia AI-powered Emotion Analytics Platform Market
- 14.6.10.6.1 Malaysia AI-powered Emotion Analytics Platform Market by Deployment
- 14.6.10.6.2 Malaysia AI-powered Emotion Analytics Platform Market by Technology
- 14.6.10.6.3 Malaysia AI-powered Emotion Analytics Platform Market by End-User
- 14.6.10.7 Rest of Asia Pacific AI-powered Emotion Analytics Platform Market
- 14.6.10.7.1 Rest of Asia Pacific AI-powered Emotion Analytics Platform Market by Deployment
- 14.6.10.7.2 Rest of Asia Pacific AI-powered Emotion Analytics Platform Market by Technology
- 14.6.10.7.3 Rest of Asia Pacific AI-powered Emotion Analytics Platform Market by End-User
- 14.7 LAMEA AI-powered Emotion Analytics Platform Market
- 14.8 Key Factors Impacting the Market
- 14.8.1 Market Drivers
- 14.8.2 Market Restraints
- 14.8.3 Market Opportunities
- 14.8.4 Market Challenges
- 14.8.5 Market Trends - LAMEA AI-powered Emotion Analytics Platform Market
- 14.8.6 State of Competition - LAMEA AI-powered Emotion Analytics Platform Market
- 14.8.7 LAMEA AI-powered Emotion Analytics Platform Market by Deployment
- 14.8.7.1 LAMEA Cloud Market by Country
- 14.8.7.2 LAMEA On-premises Market by Country
- 14.8.8 LAMEA AI-powered Emotion Analytics Platform Market by Technology
- 14.8.8.1 LAMEA Facial Recognition Market by Country
- 14.8.8.2 LAMEA Multimodal Emotion Recognition Market by Country
- 14.8.8.3 LAMEA Speech & Voice Analysis Market by Country
- 14.8.8.4 LAMEA Text-based Emotion Detection (NLP) Market by Country
- 14.8.8.5 LAMEA Physiological Monitoring (wearables, biometrics) Market by Country
- 14.8.9 LAMEA AI-powered Emotion Analytics Platform Market by End-User
- 14.8.9.1 LAMEA Healthcare Market by Country
- 14.8.9.2 LAMEA Retail & E-commerce Market by Country
- 14.8.9.3 LAMEA Automotive & Transportation Market by Country
- 14.8.9.4 LAMEA Media & Entertainment Market by Country
- 14.8.9.5 LAMEA IT (tech firms, CX platforms, enterprise apps) Market by Country
- 14.8.9.6 LAMEA Education Market by Country
- 14.8.9.7 LAMEA Government & Public Safety Market by Country
- 14.8.9.8 LAMEA BFSI Market by Country
- 14.8.9.9 LAMEA Other End-Users Market by Country
- 14.8.10 LAMEA AI-powered Emotion Analytics Platform Market by Country
- 14.8.10.1 Brazil AI-powered Emotion Analytics Platform Market
- 14.8.10.1.1 Brazil AI-powered Emotion Analytics Platform Market by Deployment
- 14.8.10.1.2 Brazil AI-powered Emotion Analytics Platform Market by Technology
- 14.8.10.1.3 Brazil AI-powered Emotion Analytics Platform Market by End-User
- 14.8.10.2 Argentina AI-powered Emotion Analytics Platform Market
- 14.8.10.2.1 Argentina AI-powered Emotion Analytics Platform Market by Deployment
- 14.8.10.2.2 Argentina AI-powered Emotion Analytics Platform Market by Technology
- 14.8.10.2.3 Argentina AI-powered Emotion Analytics Platform Market by End-User
- 14.8.10.3 UAE AI-powered Emotion Analytics Platform Market
- 14.8.10.3.1 UAE AI-powered Emotion Analytics Platform Market by Deployment
- 14.8.10.3.2 UAE AI-powered Emotion Analytics Platform Market by Technology
- 14.8.10.3.3 UAE AI-powered Emotion Analytics Platform Market by End-User
- 14.8.10.4 Saudi Arabia AI-powered Emotion Analytics Platform Market
- 14.8.10.4.1 Saudi Arabia AI-powered Emotion Analytics Platform Market by Deployment
- 14.8.10.4.2 Saudi Arabia AI-powered Emotion Analytics Platform Market by Technology
- 14.8.10.4.3 Saudi Arabia AI-powered Emotion Analytics Platform Market by End-User
- 14.8.10.5 South Africa AI-powered Emotion Analytics Platform Market
- 14.8.10.5.1 South Africa AI-powered Emotion Analytics Platform Market by Deployment
- 14.8.10.5.2 South Africa AI-powered Emotion Analytics Platform Market by Technology
- 14.8.10.5.3 South Africa AI-powered Emotion Analytics Platform Market by End-User
- 14.8.10.6 Nigeria AI-powered Emotion Analytics Platform Market
- 14.8.10.6.1 Nigeria AI-powered Emotion Analytics Platform Market by Deployment
- 14.8.10.6.2 Nigeria AI-powered Emotion Analytics Platform Market by Technology
- 14.8.10.6.3 Nigeria AI-powered Emotion Analytics Platform Market by End-User
- 14.8.10.7 Rest of LAMEA AI-powered Emotion Analytics Platform Market
- 14.8.10.7.1 Rest of LAMEA AI-powered Emotion Analytics Platform Market by Deployment
- 14.8.10.7.2 Rest of LAMEA AI-powered Emotion Analytics Platform Market by Technology
- 14.8.10.7.3 Rest of LAMEA AI-powered Emotion Analytics Platform Market by End-User
Chapter 15. Company Profiles
- 15.1 Runtime Collective Limited (Brandwatch)
- 15.2 Sprout Social, Inc.
- 15.3 IBM Corporation
- 15.3.1 Company Overview
- 15.3.2 Financial Analysis
- 15.3.3 Regional & Segmental Analysis
- 15.3.4 Research & Development Expenses
- 15.3.5 SWOT Analysis
- 15.4 Apple, Inc.
- 15.4.1 Company Overview
- 15.4.2 Financial Analysis
- 15.4.3 Regional Analysis
- 15.4.4 Research & Development Expense
- 15.4.5 SWOT Analysis
- 15.5 NEC Corporation
- 15.5.1 Company Overview
- 15.5.2 Financial Analysis
- 15.5.3 Segmental and Regional Analysis
- 15.5.4 Research & Development Expenses
- 15.5.5 SWOT Analysis
- 15.6 Open Text Corporation
- 15.6.1 Company Overview
- 15.6.2 Financial Analysis
- 15.6.3 Segmental and Regional Analysis
- 15.6.4 Research & Development Expenses
- 15.6.5 SWOT Analysis
- 15.7 iMotions A/S (Smart Eye A/S)
- 15.7.1 Company Overview
- 15.7.2 Financial Analysis
- 15.7.3 Segmental and Regional Analysis
- 15.7.4 Research & Development Expenses
- 15.8 Lexalytics, Inc. (InMoment, Inc.)
- 15.9 NVISO SA
- 15.9.1 Company Overview
- 15.9.2 SWOT Analysis
- 15.10. Emotibot Technologies Limited
- 15.10.1 Company Overview
- 15.10.2 SWOT Analysis
- 15.11 Microsoft Corporation
- 15.11.1 Company Overview
- 15.11.2 Financial Analysis
- 15.11.3 Segmental and Regional Analysis
- 15.11.4 Research & Development Expenses
- 15.11.5 SWOT Analysis
Chapter 16. Winning Imperatives of AI-powered Emotion Analytics Platform Market