Emotion Analytics Market Share, Opportunities, Industry 2030
Emotion Analytics Market Share, Opportunities, Industry 2030
Segments - Emotion Analytics Market by Types (Speech Analytics, Face Analytics, Text Analytics, and Video Analytics), Technology (Pattern Recognition, 3D Modeling, Biometrics & Neuroscience, Artificial Intelligence, Record Management, and Others), Deployment (On-cloud and On-premise), Applications (Public Safety & Law Enforcement, Competitive Intelligence, Sales & Marketing Management, Workforce Management, Customer Experience Management, and Others), End-users (Media & Entertainment, Automotive, IT & Telecommunication, BFSI, Retail, Healthcare, and Others), and Regions (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2022 – 2030
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Report Description
The global emotion analytics market size was valued at around USD 2.3 billion in 2021 and is estimated to reach USD 7.62 billion by 2030, expanding at a CAGR of around 14.6% during the forecast period, 2022 to 2030. The growth of the market is attributed to the increasing demand for improved consumer satisfaction and the growing demand for real-time emotional analytics services.
Emotion analytics is the analysis process of identifying and interpreting emotions expressed verbally and non-verbally. Emotion analytics collects data from various sources such as speech, facial expressions, textual data, videos, photos, and others. There are some universally recognized emotions such as surprise, happiness, anger, sadness, fear, disgust, and contempt.
Several innovative technologies such as Artificial Intelligence (AI), facial recognition, biometrics, 3D modeling, neuroscience, and others are used to carry out emotion analysis. These advanced software, programs, and tools are capable of detecting faces and capturing real-time responses.
Every move and contraction of facial muscle are detected by these tools and emotions are determined. The tools are used to determine emotions expressed in textual data as well. The emotion analytics process is used to identify and interpret the hidden emotions expressed through the textual data. The goal of emotion analytics is to recognize and gather information regarding the ideas, views, and thoughts of individuals. The process provides deeper contextual understanding and insights.
Organizations, companies, and brands apply emotion analytics to understand what customers feel regarding the products and services of these organizations, companies, and brands. Emotion analytics provide vital consumer insights that companies employ in their business models to enhance consumer experiences and expand their businesses. Emotion analytics is used in several industries such as media & entertainment, automotive, IT & telecommunication, BFSI, retail, healthcare, and others. Emotion analytics is used for online education, advertising, A/B testing, video games testing, patient triage, sales & marketing, and others.
COVID-19 Impact on Emotion Analytics Market
The demand for emotion analytics solutions increased during the COVID-19 pandemic situation. People experienced and suffered from a lot of stress during the pandemic, due to social distancing, lack of social interaction, loss of income, the uncertainty of the future, and other reasons.
The increasing stress took an emotional toll on several people during the pandemic. Several people turned to social media platforms to express their emotions. This facilitated companies to adopt the expert system and sociometric to analyze the emotions and overall mood of consumers across the globe. Companies, organizations, and several vendors used the collected data to improve their businesses and expand their consumer base.
Emotion Analytics Market Dynamics
The research report presents a complete overview by providing detailed information about the current market trends, existing drivers, growth opportunities and potentials, and emerging challenges. The emotion analytics market report has up-to-date insights about market dynamics and market scenarios that can shape the overall market performance and output during the forecast period, 2022 to 2030.
Major Trends
Increasing number of organizations and companies are adopting innovative and technologically advanced analytical techniques such as Artificial Intelligence (AI), big data analytics, and others to gather accurate consumer information in one of the key trends in the global emotion analytics market. Continuously increasing information available online drives market players to employ advanced analytical techniques to analyze individual behavior.
Key Drivers
Several organizations and companies adopt various emotion analytics tools to recognize customer patterns, changing preferences, and current trends to collect consumer insights. Organizations and companies use those insights to improve their sales pitches to expand their consumer base and expand their businesses. These insights are used to curate personalized user experiences to improve and enhance consumer experiences to expand businesses as well.
Several industries such as BFSI, retail, healthcare, IT & telecommunication, automotive, media & entertainment, and others are increasingly adopting and using emotion analytics tools to understand consumer preferences and current trends. These consumer insights facilitate the expansion of these industries, which boosts the demand for emotion analytics fueling the growth of the global emotion analytics market.
Existing Challenges
Adopting and implementing emotion analytics can be an expensive tool to gather customer information. Skilled professionals that can gather information using emotion analytics can add to the cost of the tool. High costs associated with emotion analytics are estimated to restrain the market growth in the coming years.
Photos, texts, videos, and other personal information is used for emotion analytics to gather consumer insights. These information sources provide detailed information regarding consumers to companies, organizations, and vendors to use for their business expansion. However, it can pose a threat to the privacy and security of consumers. This factor is expected to hinder market growth in the coming years.
Emerging Opportunities
Leading companies and businesses across the globe are adopting cloud-based innovative technologies such as big data, artificial intelligence, and others for emotion analytics applications. The increasing adoption of technologies such as big data and artificial intelligence facilitates business expansion and offers growth opportunities to market players.
Scope of Emotion Analytics Market Report
The report on the global emotion analytics market includes an assessment of the market trends, segments, and regional markets. Overview and dynamics have also been included in the report.
|
Attributes |
Details |
|
Report Title |
Emotion Analytics Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast |
|
Base Year |
2021 |
|
Historic Data |
2019–2020 |
|
Forecast Period |
2022–2030 |
|
Segmentation |
Types (Speech Analytics, Face Analytics, Text Analytics, and Video Analytics), Technology (Pattern Recognition, 3D Modeling, Biometrics & Neuroscience, Artificial Intelligence, Record Management, and Others), Deployment (On-cloud and On-premise), Applications (Public Safety & Law Enforcement, Competitive Intelligence, Sales & Marketing Management, Workforce Management, Customer Experience Management, and Others), and End-users (Media & Entertainment, Automotive, IT & Telecommunication, BFSI, Retail, Healthcare, and Others) |
|
Regional Scope |
Asia Pacific, North America, Latin America, Europe, and Middle East & Africa |
|
Report Coverage |
Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, and Trends, and Revenue Forecast |
|
Key Players Covered in the Report |
Affectiva; Zoom Video Communications, Inc.; Parrot Analytics Limited.; International Business Machines Corporation; Clarifai, Inc.; Realeyes; Sensum d.o.o.; Kairos Technologies; Noldus Information Technology; iMotions A/S; neuromore; Apple Inc.; Microsoft; Realcomm; Adoreboard; Retinad Virtual Reality Inc.; Eyris (EmoVu); sensation.io; NVISO SA.; Google LLC; Lightspeed; Sentiance NV.; SAS Institute Inc.; InMoment; Deloitte Touche Tohmatsu Limited; Tobii AB; Alphabet; and Others |
Emotion Analytics Market Segment Insights
Speech analytics segment holds a key market share
According to types, the global emotion analytics market is divided into speech analytics, face analytics, text analytics, and video analytics.
The speech analytics segment is expected to register rapid growth during the forecast period, due to increasing demand and usage of voice-based smart home devices or assistants such as Amazon Echo and Google Nest. An increasing number of consumers are using their voices to search on the internet with smartphones and smart home devices. Increasing demand for devices with voice input, the growing importance of speech analytics in call centers, and the rising number of companies incorporating speech analytics in the retail space are the key factors, which are estimated to drive the speech analytics segment in recent years.
Artificial Intelligence segment to expand significantly
In terms of technology, the global emotion analytics market is segmented into pattern recognition, 3d modeling, biometrics & neuroscience, artificial intelligence, record management, and others. Artificial Intelligence (AI) segment is anticipated to hold a key market share during the forecast period, owing to the increasing adoption of innovative technologies such as AI in emotion analytics and other applications. AI technology is used to analyze emotions in humans, which help companies gather consumer insights to expand their businesses. This drives the artificial intelligence segment growth.
On-cloud segment registers a significant growth
On the basis of deployment, the global emotion analytics market is bifurcated into on-cloud and on-premise. The on-cloud segment is anticipated to hold a key market share during the forecast period, due to increasing usage of cloud to cloud-based tools for emotion analytics. A growing number of innovative technologies such as AI, face recognition, and other cloud-based software and tools are used for several applications such as understanding consumer preferences, recognizing human emotions, and others. These are the key factors that boost the on-cloud segment growth.
Sales & marketing management segment expands rapidly
Based on applications, the global emotion analytics market is segregated into public safety & law enforcement, competitive intelligence, sales & marketing management, workforce management, customer experience management, and others.
The sales & marketing management segment is estimated to hold a key market share during the forecast period, as several companies are adopting emotion analytics to understand consumer emotions to gather consumer insights. Several companies are increasingly using emotion analytics to aid in their sales pitches with the help of consumer insights that they have gathered. This way they can expand their business. This is a key factor, which aids in the expansion of the sales & management segment.
Retail segment holds a significant market share
In terms of end-users, the global emotion analytics market is divided into media & entertainment, automotive, IT & telecommunication, BFSI, retail, healthcare, and others.
The retail segment is projected to register a huge growth during the forecast period, as e-commerce is gaining popularity over traditional and physical stores across the globe. The competition among several emerging e-commerce companies is steadily rising to dominate the market and expand their customer base. Online retail companies increasingly depend upon emotion analytics to identify the latest trends and customer tastes by analyzing the voices of customers to generate insights. These are the major factors boosting the retail segment growth.
The automotive segment is anticipated to witness rapid growth in the coming years, as the automotive industry is one of the major adaptors of new and innovative technology. An increasing number of car companies are adopting emotion analytics to enhance the safety features of their cars. This factor spurs the automotive segment growth.
North America to dominate the market
Based on regions, the global emotion analytics market is segmented into Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. The market in North America is expected to register a high CAGR during the forecast period, due to the presence of several key market players in the region.
The developed countries in the region such as the US and Canada have large retail markets, as several companies adopt new technologies that aid them in gaining customer insights. These countries invest in research and development activities significantly, which contributes to the innovative technologies that are adopted by various industries in North America. These customer insights facilitate the expansion of several retail businesses around the region. The market in North America registers growing advertisement expenditure, which is expected to increase the adoption of emotion analytics technology to aid companies to gain consumer insight and formulating data-driven decisions.
The market in Asia Pacific is anticipated to expand significantly in the coming years, owing to growing digitization, rapid industrialization, increasing implementation of biometric systems, and a rising number of contact centers across the region. The countries in Asia Pacific such as India, China, and Japan register substantial growth in the service industry. Asia Pacific includes some of the fast-growing economies such as China, India, Japan, South Korea, and others. The competition between several companies and organizations in these countries is increasing to provide better customer services than others. These are some of the major factors fueling the emotion analytics market growth in Asia Pacific.
Segments
The global emotion analytics market has been segmented on the basis of
Types
- Speech Analytics
- Face Analytics
- Text Analytics
- Video Analytics
Technology
- Pattern Recognition
- 3D Modeling
- Biometrics & Neuroscience
- Artificial Intelligence
- Record Management
- Others
Deployment
- On-cloud
- On-premise
Applications
- Public Safety & Law Enforcement
- Competitive Intelligence
- Sales & Marketing Management
- Workforce Management
- Customer Experience Management
- Others
End-users
- Media & Entertainment
- Automotive
- IT & Telecommunication
- BFSI
- Retail
- Healthcare
- Others
Regions
- Asia Pacific
- North America
- Latin America
- Europe
- Middle East & Africa
Key Players
- Affectiva
- Zoom Video Communications, Inc.
- Parrot Analytics Limited.
- International Business Machines Corporation
- Clarifai, Inc.
- Realeyes
- Sensum d.o.o.
- Kairos Technologies
- Noldus Information Technology
- iMotions A/S
- neuromore
- Apple Inc.
- Microsoft
- Realcomm
- Adoreboard
- Retinad Virtual Reality Inc.
- Eyris (EmoVu)
- sensation.io
- NVISO SA.
- Google LLC
- Lightspeed
- Sentiance NV.
- SAS Institute Inc.
- InMoment
- Deloitte Touche Tohmatsu Limited
- Tobii AB
- Alphabet
- Others
Competitive Landscape
Key players competing in the emotion analytics market are Affectiva; Zoom Video Communications, Inc.; Parrot Analytics Limited.; International Business Machines Corporation; Clarifai, Inc.; Realeyes; Sensum d.o.o.; Kairos Technologies; Noldus Information Technology; iMotions A/S; neuromore; Apple Inc.; Microsoft; Realcomm; Adoreboard; Retinad Virtual Reality Inc.; Eyris (EmoVu); sensation.io; NVISO SA.; Google LLC; Lightspeed; Sentiance NV.; SAS Institute Inc.; InMoment; Deloitte Touche Tohmatsu Limited; Tobii AB; Alphabet; and others.
Some of these major companies have adopted a series of business development strategies including mergers and acquisitions, entering into partnerships and collaboration, product launches, and production capacity expansion to expand their consumer base and enhance their market share.
- In April 2019, Affectiva, an emotion recognition and analysis company, raised around USD 26 million to fund emotional intelligence AI solutions to car safety systems. The AI solution is set to facilitate the safety systems to recognize the emotions such as sadness, drowsiness, frustration, and happiness of drivers.
- In June 2019, Realeyes, a leading advertisement testing company for the attention economy, launched a new emotion AI technology platform, which uses webcams to attention and emotional engagement of viewers around the world. The platform is estimated to provide viewer insights in three hours on a dashboard.
- In April 2022, Zoom Video Communications, Inc., a US-based communications technology company, launched an AI tool called IQ for Sales. The tool analyzes sales phone calls, software transcribes, customer questions, and other helpful information to aid sales teams in improving their sales pitches. The tool assists sales teams to avoid using filler words or speaking quickly.
- In August 2022, Parrot Analytics Limited., a partner to several media companies and content creators across the globe, entered a partnership with Sony Pictures Digital Productions Inc. to support TV shows and other creative content of Sony Pictures Digital Productions Inc. The company is expected to provide streaming space to Sony Pictures, which does not have any in-house streaming services.
Frequently Asked Questions
An emotional analysis is important to detect and understand consumer feelings, tastes, and preferences. Companies use such analysis to gain customer insights, which are used to improve customer experiences and services to expand their business.
Affectiva; Zoom Video Communications, Inc.; Parrot Analytics Limited.; International Business Machines Corporation; Clarifai, Inc.; Realeyes; Sensum d.o.o.; Kairos Technologies; Noldus Information Technology; iMotions A/S; neuromore; Apple Inc.; Microsoft; Realcomm; Adoreboard; Retinad Virtual Reality Inc.; Eyris (EmoVu); sensation.io; NVISO SA.; Google LLC; Lightspeed; Sentiance NV.; SAS Institute Inc.; InMoment; Deloitte Touche Tohmatsu Limited; Tobii AB; and Alphabet are some of the key players in the global emotion analytics market.
Media & entertainment, automotive, IT & telecommunication, BFSI, retail, healthcare, and others are the end-users in the global emotion analytics market.
North America dominates the global emotion analytics market.
Emotion analytics is the analysis process of identifying and interpreting emotions expressed verbally and non-verbally.
Speech analytics, face analytics, text analytics, and video analytics are the types of emotion analytics.
Pattern recognition, 3D modeling, biometrics & neuroscience, artificial intelligence, record management, and others are the technologies used in emotion analytics.
Public safety & law enforcement, competitive intelligence, sales & marketing management, workforce management, customer experience management, and others are the applications of emotion analytics.
The global emotion analytics market size was valued at around USD 2.3 billion in 2021 and is anticipated to reach around USD 7.62 billion by 2030.
The global emotion analytics market is estimated to register a CAGR of around 14.6% during the forecast period.
Table Of Content
1. Executive Summary2. Assumptions and Acronyms Used
3. Research Methodology
4. Emotion Analytics Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Emotion Analytics Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Emotion Analytics Market - Supply Chain
4.5. Global Emotion Analytics Market Forecast
4.5.1. Emotion Analytics Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Emotion Analytics Market Size (000’ Units) and Y-o-Y Growth
4.5.3. Emotion Analytics Market Absolute $ Opportunity
5. Global Emotion Analytics Market Analysis and Forecast by Types
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Types
5.2.2. Y-o-Y Growth Projections by Types
5.3. Emotion Analytics Market Size and Volume Forecast by Types
5.3.1. Speech Analytics
5.3.2. Face Analytics
5.3.3. Text Analytics
5.3.4. Video Analytics
5.4. Absolute $ Opportunity Assessment by Types
5.5. Market Attractiveness/Growth Potential Analysis by Types
6. Global Emotion Analytics Market Analysis and Forecast by Applications
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Applications
6.2.2. Y-o-Y Growth Projections by Applications
6.3. Emotion Analytics Market Size and Volume Forecast by Applications
6.3.1. Public Safety & Law Enforcement
6.3.2. Competitive Intelligence
6.3.3. Sales & Marketing Management
6.3.4. Workforce Management
6.3.5. Customer Experience Management
6.3.6. Others
6.4. Absolute $ Opportunity Assessment by Applications
6.5. Market Attractiveness/Growth Potential Analysis by Applications
7. Global Emotion Analytics Market Analysis and Forecast by End Users
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by End Users
7.2.2. Y-o-Y Growth Projections by End Users
7.3. Emotion Analytics Market Size and Volume Forecast by End Users
7.3.1. Media & Entertainment
7.3.2. Automotive
7.3.3. IT & Telecommunication
7.3.4. BFSI
7.3.5. Retail
7.3.6. Healthcare
7.3.7. Others
7.4. Absolute $ Opportunity Assessment by End Users
7.5. Market Attractiveness/Growth Potential Analysis by End Users
8. Global Emotion Analytics Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Emotion Analytics Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Emotion Analytics Demand Share Forecast, 2019-2026
9. North America Emotion Analytics Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Emotion Analytics Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Emotion Analytics Market Size and Volume Forecast by Types
9.4.1. Speech Analytics
9.4.2. Face Analytics
9.4.3. Text Analytics
9.4.4. Video Analytics
9.5. Basis Point Share (BPS) Analysis by Types
9.6. Y-o-Y Growth Projections by Types
9.7. North America Emotion Analytics Market Size and Volume Forecast by Applications
9.7.1. Public Safety & Law Enforcement
9.7.2. Competitive Intelligence
9.7.3. Sales & Marketing Management
9.7.4. Workforce Management
9.7.5. Customer Experience Management
9.7.6. Others
9.8. Basis Point Share (BPS) Analysis by Applications
9.9. Y-o-Y Growth Projections by Applications
9.10. North America Emotion Analytics Market Size and Volume Forecast by End Users
9.10.1. Media & Entertainment
9.10.2. Automotive
9.10.3. IT & Telecommunication
9.10.4. BFSI
9.10.5. Retail
9.10.6. Healthcare
9.10.7. Others
9.11. Basis Point Share (BPS) Analysis by End Users
9.12. Y-o-Y Growth Projections by End Users
9.13. Market Attractiveness/Growth Potential Analysis
9.13.1. By Country
9.13.2. By Product Type
9.13.3. By Application
9.14. North America Emotion Analytics Demand Share Forecast, 2019-2026
10. Latin America Emotion Analytics Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Emotion Analytics Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Emotion Analytics Market Size and Volume Forecast by Types
10.4.1. Speech Analytics
10.4.2. Face Analytics
10.4.3. Text Analytics
10.4.4. Video Analytics
10.5. Basis Point Share (BPS) Analysis by Types
10.6. Y-o-Y Growth Projections by Types
10.7. Latin America Emotion Analytics Market Size and Volume Forecast by Applications
10.7.1. Public Safety & Law Enforcement
10.7.2. Competitive Intelligence
10.7.3. Sales & Marketing Management
10.7.4. Workforce Management
10.7.5. Customer Experience Management
10.7.6. Others
10.8. Basis Point Share (BPS) Analysis by Applications
10.9. Y-o-Y Growth Projections by Applications
10.10. Latin America Emotion Analytics Market Size and Volume Forecast by End Users
10.10.1. Media & Entertainment
10.10.2. Automotive
10.10.3. IT & Telecommunication
10.10.4. BFSI
10.10.5. Retail
10.10.6. Healthcare
10.10.7. Others
10.11. Basis Point Share (BPS) Analysis by End Users
10.12. Y-o-Y Growth Projections by End Users
10.13. Market Attractiveness/Growth Potential Analysis
10.13.1. By Country
10.13.2. By Product Type
10.13.3. By Application
10.14. Latin America Emotion Analytics Demand Share Forecast, 2019-2026
11. Europe Emotion Analytics Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Emotion Analytics Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Emotion Analytics Market Size and Volume Forecast by Types
11.4.1. Speech Analytics
11.4.2. Face Analytics
11.4.3. Text Analytics
11.4.4. Video Analytics
11.5. Basis Point Share (BPS) Analysis by Types
11.6. Y-o-Y Growth Projections by Types
11.7. Europe Emotion Analytics Market Size and Volume Forecast by Applications
11.7.1. Public Safety & Law Enforcement
11.7.2. Competitive Intelligence
11.7.3. Sales & Marketing Management
11.7.4. Workforce Management
11.7.5. Customer Experience Management
11.7.6. Others
11.8. Basis Point Share (BPS) Analysis by Applications
11.9. Y-o-Y Growth Projections by Applications
11.10. Europe Emotion Analytics Market Size and Volume Forecast by End Users
11.10.1. Media & Entertainment
11.10.2. Automotive
11.10.3. IT & Telecommunication
11.10.4. BFSI
11.10.5. Retail
11.10.6. Healthcare
11.10.7. Others
11.11. Basis Point Share (BPS) Analysis by End Users
11.12. Y-o-Y Growth Projections by End Users
11.13. Market Attractiveness/Growth Potential Analysis
11.13.1. By Country
11.13.2. By Product Type
11.13.3. By Application
11.14. Europe Emotion Analytics Demand Share Forecast, 2019-2026
12. Asia Pacific Emotion Analytics Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Emotion Analytics Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Emotion Analytics Market Size and Volume Forecast by Types
12.4.1. Speech Analytics
12.4.2. Face Analytics
12.4.3. Text Analytics
12.4.4. Video Analytics
12.5. Basis Point Share (BPS) Analysis by Types
12.6. Y-o-Y Growth Projections by Types
12.7. Asia Pacific Emotion Analytics Market Size and Volume Forecast by Applications
12.7.1. Public Safety & Law Enforcement
12.7.2. Competitive Intelligence
12.7.3. Sales & Marketing Management
12.7.4. Workforce Management
12.7.5. Customer Experience Management
12.7.6. Others
12.8. Basis Point Share (BPS) Analysis by Applications
12.9. Y-o-Y Growth Projections by Applications
12.10. Asia Pacific Emotion Analytics Market Size and Volume Forecast by End Users
12.10.1. Media & Entertainment
12.10.2. Automotive
12.10.3. IT & Telecommunication
12.10.4. BFSI
12.10.5. Retail
12.10.6. Healthcare
12.10.7. Others
12.11. Basis Point Share (BPS) Analysis by End Users
12.12. Y-o-Y Growth Projections by End Users
12.13. Market Attractiveness/Growth Potential Analysis
12.13.1. By Country
12.13.2. By Product Type
12.13.3. By Application
12.14. Asia Pacific Emotion Analytics Demand Share Forecast, 2019-2026
13. Middle East & Africa Emotion Analytics Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Middle East & Africa Average Pricing Analysis
13.2. Middle East & Africa Emotion Analytics Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Emotion Analytics Market Size and Volume Forecast by Types
13.4.1. Speech Analytics
13.4.2. Face Analytics
13.4.3. Text Analytics
13.4.4. Video Analytics
13.5. Basis Point Share (BPS) Analysis by Types
13.6. Y-o-Y Growth Projections by Types
13.7. Middle East & Africa Emotion Analytics Market Size and Volume Forecast by Applications
13.7.1. Public Safety & Law Enforcement
13.7.2. Competitive Intelligence
13.7.3. Sales & Marketing Management
13.7.4. Workforce Management
13.7.5. Customer Experience Management
13.7.6. Others
13.8. Basis Point Share (BPS) Analysis by Applications
13.9. Y-o-Y Growth Projections by Applications
13.10. Middle East & Africa Emotion Analytics Market Size and Volume Forecast by End Users
13.10.1. Media & Entertainment
13.10.2. Automotive
13.10.3. IT & Telecommunication
13.10.4. BFSI
13.10.5. Retail
13.10.6. Healthcare
13.10.7. Others
13.11. Basis Point Share (BPS) Analysis by End Users
13.12. Y-o-Y Growth Projections by End Users
13.13. Market Attractiveness/Growth Potential Analysis
13.13.1. By Country
13.13.2. By Product Type
13.13.3. By Application
13.14. Middle East & Africa Emotion Analytics Demand Share Forecast, 2019-2026
14. Competition Landscape
14.1. Global Emotion Analytics Market: Market Share Analysis
14.2. Emotion Analytics Distributors and Customers
14.3. Emotion Analytics Market: Competitive Dashboard
14.4. Company Profiles (Details: Overview, Financials, Developments, Strategy)
14.4.1. Affectiva
14.4.2. Zoom Video Communications, Inc.
14.4.3. Parrot Analytics Limited.
14.4.4. International Business Machines Corporation
14.4.5. Clarifai, Inc.
14.4.6. Realeyes
14.4.7. Sensum d.o.o.
14.4.8. Kairos Technologies
14.4.9. Noldus Information Technology
14.4.10. iMotions A/S
14.4.11. neuromore
14.4.12. Apple Inc.
14.4.13. Microsoft
14.4.14. Realcomm
14.4.15. Adoreboard
14.4.16. Retinad Virtual Reality Inc.
14.4.17. Eyris (EmoVu)
14.4.18. sensation.io
14.4.19. NVISO SA.
14.4.20. Google LLC
14.4.21. Lightspeed
14.4.22. Sentiance NV.
14.4.23. SAS Institute Inc.
14.4.24. InMoment
14.4.25. Deloitte Touche Tohmatsu Limited
14.4.26. Tobii AB
14.4.27. Alphabet
14.4.28. Others
Methodology
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