Worldwide Emotion Analytics Market – Drivers, Opportunities, Trends, and Forecasts: 2016–2022
Worldwide Emotion Analytics Market – Drivers, Opportunities, Trends, and Forecasts: 2016–2022
Brief: The human emotions are read and analyzed by voice, gesture, and face inputs. Basically, there are seven emotions that are universally accepted – joy, surprise, anger, contempt, sadness, disgust, and fear. The emotion analytics is the examination of a person’s verbal and non-verbal communications in order to understand the mood and attitude. In the today’s world of internet, people are expressing their emotions, sentiments, and feelings through text/comments, emojis, likes, and dislikes.
Product Analysis: Understanding the real meaning of these electronic symbols is very important – human emotions are analyzed by human–machine interference using mobile applications and devices. At present, emotion analytics is used in businesses to identify customer’s perception towards their products. The emotion analytics data is used by the companies to create strategies that will improve their business. Emotion analytics software programs are used by the organizations in data collection, data classification, data analytics, and data visualization.
Market Analysis: According to Infoholic Research, the Worldwide Emotion Analytics market is estimated to witness a CAGR of 82.9% during the forecast period 2016–2022. The emotion analytics market is analyzed based on five segments – technologies, types, solutions, verticals and regions. The technologies covered in the report are AI, biometrics & neuroscience, 3D modelling, pattern recognition, records management and others.
Technology Analysis: Artificial intelligence (AI) is the major technology that is being implemented by various organizations and has huge market share with a CAGR of 83.9% during the forecast period 2016–2022. There has been an increase in the advance machine learning technologies, used for analyzing the human behavior across different industries. Biometrics is one of the technologies that is being vastly implemented by various organizations to secure their business operations. The types of emotion analytics covered in the report are facial analytics, speech analytics, video analytics and others. Facial analytics is driving the emotion analytics market as a lot of organizations are showing interest in analyzing customer’s facial expressions and their emotions, which would help them in knowing customer perceptions towards their products.
The solutions covered in the report are API & SDK, mobile & web application, cloud and others. API & SDK is considered the backbone of emotion analytics market having huge market share with a CAGR of 82.6% during the forecast period 2016–2022. The cloud APIs interact with the web and mobile applications and allow customers to easily access their applications. SDKs allow organizations to create interactive and emotion-based applications and provide digital experiences to their customers on any device in real-time.
The verticals covered in the report are market research, retail, healthcare, financial services, photography & events, media & entertainment, and others. Media & entertainment is the leading industry in the emotion analytics market and education sector will have a lot of opportunities in the next 5 years. Healthcare sector is focused more on neuroscience technology to offer better services to patients while understanding their emotions. The demand for facial biometrics in ID cards, passport, driving license, health insurance card, and social security cards have increased the biometrics market growth. Biometric facial recognition technology is being implemented in healthcare, retail, financial services and government sectors. The demand for surveillance cameras for security purposes and videos for media & entertainment and photography & events has increased the growth rate for the video analytics market.
Regional Analysis: North America is the fastest growing region in the world, where a lot of technologies are emerging and being implemented by various organizations. North America is the world’s biggest region in the implementation of cloud-based face recognition software. Also, the support from the government for implementation of biometrics is helping the market to grow further. APAC is expected to have the major market share with a CAGR of 85.8% in emotion analytics followed by EMEA.
Key Players: Some of the key players are Microsoft, IBM, Retinad Virtual Reality, Neuromore, Imotions A/S, Kairos, Beyond Verbal, Affectiva, Eyris (EmoVu), etc. Several players are sensing the emotions and play a major role in providing better customer experience. Numerous startups and big players are entering the market.
Competitive Analysis: Big players such as Google, Apple, Facebook, IBM, and Microsoft are acquiring smaller players to increase their market share. Even though emotion analytics is a niche market, many players are focusing on this for understanding and analyzing customer emotions and to offer products and services that satisfy them.
Benefits: IoT in emotion analytics helps organizations to better understand human emotions and will be a new dimension in marketing. Mobile and cloud-based biometric technologies are hugely implemented in many organizations. A lot of organizations are implementing emotion analytics technologies due to the increase in the number of videos, critical decision making, understanding human behavior are the major drivers of emotion analytics market growth.
The study covers and analyzes the “Worldwide Emotion Analytics” market. Bringing out the complete key insights of the industry, the report aims to provide an opportunity for players to understand the latest trends, current market scenario, government initiatives, and technologies related to the market. In addition, helps the venture capitalists in understanding the companies better and take informed decisions.
Brief: The human emotions are read and analyzed by voice, gesture, and face inputs. Basically, there are seven emotions that are universally accepted – joy, surprise, anger, contempt, sadness, disgust, and fear. The emotion analytics is the examination of a person’s verbal and non-verbal communications in order to understand the mood and attitude. In the today’s world of internet, people are expressing their emotions, sentiments, and feelings through text/comments, emojis, likes, and dislikes.
Product Analysis: Understanding the real meaning of these electronic symbols is very important – human emotions are analyzed by human–machine interference using mobile applications and devices. At present, emotion analytics is used in businesses to identify customer’s perception towards their products. The emotion analytics data is used by the companies to create strategies that will improve their business. Emotion analytics software programs are used by the organizations in data collection, data classification, data analytics, and data visualization.
Market Analysis: According to Infoholic Research, the Worldwide Emotion Analytics market is estimated to witness a CAGR of 82.9% during the forecast period 2016–2022. The emotion analytics market is analyzed based on five segments – technologies, types, solutions, verticals and regions. The technologies covered in the report are AI, biometrics & neuroscience, 3D modelling, pattern recognition, records management and others.
Technology Analysis: Artificial intelligence (AI) is the major technology that is being implemented by various organizations and has huge market share with a CAGR of 83.9% during the forecast period 2016–2022. There has been an increase in the advance machine learning technologies, used for analyzing the human behavior across different industries. Biometrics is one of the technologies that is being vastly implemented by various organizations to secure their business operations. The types of emotion analytics covered in the report are facial analytics, speech analytics, video analytics and others. Facial analytics is driving the emotion analytics market as a lot of organizations are showing interest in analyzing customer’s facial expressions and their emotions, which would help them in knowing customer perceptions towards their products.
The solutions covered in the report are API & SDK, mobile & web application, cloud and others. API & SDK is considered the backbone of emotion analytics market having huge market share with a CAGR of 82.6% during the forecast period 2016–2022. The cloud APIs interact with the web and mobile applications and allow customers to easily access their applications. SDKs allow organizations to create interactive and emotion-based applications and provide digital experiences to their customers on any device in real-time.
The verticals covered in the report are market research, retail, healthcare, financial services, photography & events, media & entertainment, and others. Media & entertainment is the leading industry in the emotion analytics market and education sector will have a lot of opportunities in the next 5 years. Healthcare sector is focused more on neuroscience technology to offer better services to patients while understanding their emotions. The demand for facial biometrics in ID cards, passport, driving license, health insurance card, and social security cards have increased the biometrics market growth. Biometric facial recognition technology is being implemented in healthcare, retail, financial services and government sectors. The demand for surveillance cameras for security purposes and videos for media & entertainment and photography & events has increased the growth rate for the video analytics market.
Regional Analysis: North America is the fastest growing region in the world, where a lot of technologies are emerging and being implemented by various organizations. North America is the world’s biggest region in the implementation of cloud-based face recognition software. Also, the support from the government for implementation of biometrics is helping the market to grow further. APAC is expected to have the major market share with a CAGR of 85.8% in emotion analytics followed by EMEA.
Key Players: Some of the key players are Microsoft, IBM, Retinad Virtual Reality, Neuromore, Imotions A/S, Kairos, Beyond Verbal, Affectiva, Eyris (EmoVu), etc. Several players are sensing the emotions and play a major role in providing better customer experience. Numerous startups and big players are entering the market.
Competitive Analysis: Big players such as Google, Apple, Facebook, IBM, and Microsoft are acquiring smaller players to increase their market share. Even though emotion analytics is a niche market, many players are focusing on this for understanding and analyzing customer emotions and to offer products and services that satisfy them.
Benefits: IoT in emotion analytics helps organizations to better understand human emotions and will be a new dimension in marketing. Mobile and cloud-based biometric technologies are hugely implemented in many organizations. A lot of organizations are implementing emotion analytics technologies due to the increase in the number of videos, critical decision making, understanding human behavior are the major drivers of emotion analytics market growth.
The study covers and analyzes the “Worldwide Emotion Analytics” market. Bringing out the complete key insights of the industry, the report aims to provide an opportunity for players to understand the latest trends, current market scenario, government initiatives, and technologies related to the market. In addition, helps the venture capitalists in understanding the companies better and take informed decisions.
1 INDUSTRY OUTLOOK
1.1 Industry Overview
1.2 Industry Trends
1.3 Pest Analysis
2 REPORT OUTLINE
2.1 Report Scope
2.2 Report Summary
2.3 Research Methodology
2.4 Report Assumptions
3 MARKET SNAPSHOT
3.1 Total Addressable Market (TAM)
3.2 Segmented Addressable Market (SAM)
3.3 Related Markets
3.3.1 Predictive Analytics
3.3.2 Human Resource (HR) Analytics
3.3.3 Cognitive Analytics
4 MARKET OUTLOOK
4.1 Overview
4.2 Market Definition – Infoholic Research
4.3 Evolution
4.4 Market Trends
4.5 Importance of Emotion Analytics
4.6 Speech Emotional Analytics
4.7 Emotion AI Integration
4.8 Market Segmentation
4.9 Porter 5(Five) Forces
5 MARKET CHARACTERISTICS
5.1 Emotion Analytics Features
5.2 Emotion Analytics Advantages
5.3 Emotion Analytics in Call Centers
5.4 Instruments to Measure Emotions
5.5 Market Dynamics
5.5.1 Drivers
5.5.1.1 Increase in the demand for video analytics
5.5.1.2 Huge investments in AI technologies
5.5.1.3 Rising demand for pattern recognition
5.5.1.4 Huge demand for mobile and web applications
5.5.2 Opportunities
5.5.2.1 Huge opportunities in robotics
5.5.2.2 Rising adoption of cloud APIs and SDKs
5.5.2.3 Demand from retail and education sectors
5.5.2.4 IoT will drive huge opportunities for different industries
5.5.3 Restraints
5.5.3.1 Complexity in text data
5.5.3.2 Complexities in languages
5.5.3.3 Lack of security and increase in fraud activities
5.5.4 DRO – Impact Analysis
5.5.5 Key Stakeholders
6 TECHNOLOGIES: MARKET SIZE AND ANALYSIS
6.1 Overview
6.2 AI
6.3 Biometrics & Neuroscience
6.4 3D Modelling
6.5 Pattern Recognition
6.6 Records Management (RM)
6.7 Others
7 SOLUTIONS: MARKET SIZE AND ANALYSIS
7.1 Overview
7.2 APIs & SDKs
7.3 Mobile and Web Applications
7.4 Cloud
8 TYPES: MARKET SIZE AND ANALYSIS
8.1 Overview
8.2 Facial Analytics
8.3 Video Analytics
8.4 Speech Analytics
9 VERTICALS: MARKET SIZE AND ANALYSIS
9.1 Overview
9.2 Media & Entertainment
9.2.1 Overview
9.2.2 Key Facts
9.3 Healthcare
9.3.1 Overview
9.3.2 Key Facts
9.4 Retail
9.4.1 Overview
9.4.2 Key Facts
9.5 Education
9.5.1 Overview
9.5.2 Key Facts
9.6 Financial Services
9.6.1 Overview
9.6.2 Key Facts
9.7 Photography & Events
9.7.1 Overview
9.7.2 Key Facts
9.8 Market Research
9.8.1 Overview
9.8.2 Key Facts
9.9 Others
9.9.1 Key Facts
10 REGIONS: MARKET SIZE AND ANALYSIS
10.1 Overview
10.2 North America
10.2.1 Overview
10.3 DRO – North America
10.3.1 US
10.3.2 Canada
10.4 EMEA
10.4.1 Overview
10.4.2 DRO – EMEA
10.4.2.1 UK
10.4.2.2 Germany
10.4.2.3 France
10.4.2.4 Israel
10.4.2.5 UAE
10.4.2.6 Turkey
10.5 APAC
10.5.1 Overview
10.5.2 DRO – APAC
10.5.2.1 India
10.5.2.2 Russia
10.5.2.3 Japan
10.5.2.4 China
10.6 Latin America
10.6.1 Overview
10.6.2 DRO – Latin America
10.6.2.1 Brazil
10.6.2.2 Mexico
11 MARKET ATTRACTIVENESS
11.1 Market Attractiveness by Technologies
11.2 Market Attractiveness by Types
11.3 Market Attractiveness by Verticals
11.4 Market Attractiveness by Solutions
11.5 Market Attractiveness by Regions
12 COMPETITIVE LANDSCAPE
12.1 Overview
12.2 Vendor Assessment
12.2.1 Kairos AR, Inc.
12.2.2 Affectiva Inc.
12.2.3 Beyond Verbal
12.2.4 Eyeris (Emovu)
12.2.5 iMotions A/S
12.2.6 Emotient (Apple)
12.2.7 Microsoft
13 VENDOR PROFILES
13.1 Kairos AR, Inc.
13.1.1 Overview
13.1.2 Business Unit
13.1.3 Geographic Presence
13.1.4 Business Focus
13.1.5 SWOT Analysis
13.1.6 Business Strategy
13.2 Affectiva Inc.
13.2.1 Overview
13.2.2 Business Unit
13.2.3 Geographic Presence
13.2.4 Business Focus
13.2.5 SWOT Analysis
13.2.6 Business Strategy
13.3 Beyond Verbal
13.3.1 Overview
13.3.2 Business Unit
13.3.3 Geographic Presence
13.3.4 Business Focus
13.3.5 SWOT Analysis
13.3.6 Business Strategy
13.4 Eyeris (EmoVu)
13.4.1 Overview
13.4.2 Business Unit
13.4.3 Geographic Presence
13.4.4 Business Focus
13.4.5 SWOT Analysis
13.4.6 Business Strategy
13.5 iMotions A/S
13.5.1 Overview
13.5.2 Business Unit
13.5.3 Geographic Presence
13.5.4 Business Focus
13.5.5 SWOT Analysis
13.5.6 Business Strategy
13.6 Emotient (Apple)
13.6.1 Overview
13.6.2 Business Unit
13.6.3 Geographic Revenue
13.6.4 Business Focus
13.6.5 SWOT Analysis
13.6.6 Business Strategy
13.7 Microsoft Corp.
13.7.1 Overview
13.7.2 Business Unit
13.7.3 Geographic Presences
13.7.4 Business Focus
13.7.5 SWOT Analysis
13.7.6 Business Strategy
14 COMPANIES TO WATCH FOR
14.1 Neuromore Inc.
14.1.1 Overview
14.1.2 Neuromore Market
14.1.3 Neuromore in Emotion Analytics
14.2 Retinad Virtual Reality Inc.
14.2.1 Overview
14.2.2 Retinad Market
14.2.3 Retinad in Emotion Analytics
14.3 Realeyes
14.3.1 Overview
14.3.2 Realeyes Market
14.3.3 Realeyes in Emotion Analytics
14.4 nViso SA
14.4.1 Overview
14.4.2 nViso Market
14.4.3 nViso in Emotion Analytics
15 GLOBAL GENERALIST
15.1 SAP AG.
15.1.1 Overview
15.1.2 SAP in Analytics Market
15.2 SAS Institute Inc.
15.2.1 Overview
15.2.2 SAS in Analytics Market
15.3 IBM Corp.
15.3.1 Overview
15.3.2 IBM in Emotion Analytics Market
Annexure
Abbreviations
Table 1 EMOTION ANALYTICS MARKET REVENUE BY TECHNOLOGIES, 2016–2022 ($MILLION)
Table 2 EMOTION ANALYTICS MARKET REVENUE BY SOLUTIONS, 2016–2022 ($MILLION)
Table 3 EMOTION ANALYTICS MARKET REVENUE BY TYPES, 2016–2022 ($MILLION)
Table 4 EMOTION ANALYTICS MARKET REVENUE BY VERTICALS, 2016–2022 ($MILLION)
Table 5 EMOTION ANALYTICS MARKET REVENUE BY REGIONS, 2016–2022 ($MILLION)
Table 6 NORTH AMERICA EMOTION ANALYTICS MARKET REVENUE BY TECHNOLOGIES, 2016–2022 ($MILLION)
Table 7 NORTH AMERICA EMOTION ANALYTICS MARKET GROWTH BY TECHNOLOGIES, 2016-2022, Y-O-Y (%)
Table 8 NORTH AMERICA EMOTION ANALYTICS MARKET REVENUE BY TYPES, 2016–2022 ($MILLION)
Table 9 NORTH AMERICA EMOTION ANALYTICS MARKET GROWTH BY TYPES, 2016–2022, Y-O-Y (%)
Table 10 NORTH AMERICA EMOTION ANALYTICS MARKET REVENUE BY SOLUTIONS, 2016–2022 ($MILLION)
Table 11 NORTH AMERICA EMOTION ANALYTICS MARKET GROWTH BY SOLUTIONS, 2016–2022, Y-O-Y (%)
Table 12 NORTH AMERICA EMOTION ANALYTICS MARKET REVENUE BY VERTICALS, 2016–2022 ($MILLION)
Table 13 NORTH AMERICA EMOTION ANALYTICS MARKET GROWTH BY VERTICALS, 2016–2022, Y-O-Y (%)
Table 14 DRO – NORTH AMERICA
Table 15 EMEA EMOTION ANALYTICS MARKET REVENUE BY TECHNOLOGIES, 2016–2022 ($MILLION)
Table 16 EMEA EMOTION ANALYTICS MARKET GROWTH BY TECHNOLOGIES, 2016-2022, Y-O-Y (%)
Table 17 EMEA EMOTION ANALYTICS MARKET GROWTH BY TYPES, 2016–2022, Y-O-Y (%)
Table 18 EMEA EMOTION ANALYTICS MARKET REVENUE BY SOLUTIONS, 2016–2022 ($MILLION)
Table 19 EMEA EMOTION ANALYTICS MARKET GROWTH BY SOLUTIONS, 2016–2022, Y-O-Y (%)
Table 20 EMEA EMOTION ANALYTICS MARKET REVENUE BY VERTICALS, 2016–2022 ($MILLION)
Table 21 EMEA EMOTION ANALYTICS MARKET GROWTH BY VERTICALS, 2016–2022, Y-O-Y (%)
Table 22 DRO - EMEA
Table 23 APAC EMOTION ANALYTICS MARKET REVENUE BY TECHNOLOGIES, 2016–2022 ($MILLION)
Table 24 APAC EMOTION ANALYTICS MARKET GROWTH BY TECHNOLOGIES, 2016-2022, Y-O-Y (%)
Table 25 APAC EMOTION ANALYTICS MARKET REVENUE BY TYPES, 2016–2022 ($MILLION)
Table 26 APAC EMOTION ANALYTICS MARKET GROWTH BY TYPES, 2016–2022, Y-O-Y (%)
Table 27 APAC EMOTION ANALYTICS MARKET REVENUE BY SOLUTIONS, 2016–2022 ($MILLION)
Table 28 APAC EMOTION ANALYTICS MARKET GROWTH BY SOLUTIONS, 2016–2022, Y-O-Y (%)
Table 29 APAC EMOTION ANALYTICS MARKET REVENUE BY VERTICALS, 2016–2022 ($MILLION)
Table 30 APAC EMOTION ANALYTICS MARKET GROWTH BY VERTICALS, 2016–2022, Y-O-Y (%)
Table 31 DRO - APAC
Table 32 LATIN AMERICA EMOTION ANALYTICS MARKET REVENUE BY TECHNOLOGIES, 2016–2022 ($THOUSAND)
Table 33 LATIN AMERICA EMOTION ANALYTICS MARKET GROWTH BY TECHNOLOGIES, 2016-2022, Y-O-Y (%)
Table 34 LATIN AMERICA EMOTION ANALYTICS MARKET REVENUE BY TYPES, 2016–2022 ($THOUSAND)
Table 35 LATIN AMERICA EMOTION ANALYTICS MARKET GROWTH BY TYPES, 2016–2022, Y-O-Y (%)
Table 36 LATIN AMERICA EMOTION ANALYTICS MARKET REVENUE BY SOLUTIONS, 2016–2022 ($THOUSAND)
Table 37 LATIN AMERICA EMOTION ANALYTICS MARKET GROWTH BY SOLUTIONS, 2016–2022, Y-O-Y (%)
Table 38 LATIN AMERICA EMOTION ANALYTICS MARKET REVENUE BY VERTICALS, 2016–2022 ($THOUSAND)
Table 39 DRO – LATIN AMERICA
Table 40 KAIROS: STRENGTH AND WEAKNESS
Table 41 AFFECTIVA: STRENGTH AND WEAKNESS
Table 42 BEYOND VERBAL: STRENGTH AND WEAKNESS
Table 43 EYERIS: STRENGTH AND WEAKNESS
Table 44 IMOTIONS A/S: STRENGTH AND WEAKNESS
Table 45 EMOTIENT (APPLE): STRENGTH AND WEAKNESS
Table 46 MICROSOFT: STRENGTH AND WEAKNESS
Chart 1 PEST ANALYSIS OF EMOTION ANALYTICS MARKET
Chart 2 RESEARCH METHODOLOGY OF WORLDWIDE EMOTION ANALYTICS MARKET
Chart 3 WORLDWIDE EMOTION ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 4 SPEECH EMOTIONAL ANALYTICS
Chart 5 EMOTION AI INTEGRATION
Chart 6 SEGMENTATION OF WORLDWIDE EMOTION ANALYTICS MARKET
Chart 7 PORTERS 5 FORCES ON WORLDWIDE EMOTION ANALYTICS MARKET
Chart 8 EMOTION ANALYTICS FEATURES
Chart 9 CALL CENTERS: NET SCORE, CALL TIME, AND CALL TRANSFERRING
Chart 10 DRO – IMPACT ANALYSIS OF WORLDWIDE EMOTION ANALYTICS MARKET
Chart 11 KEY STAKEHOLDERS
Chart 12 TECHNOLOGIES MARKET SHARE, 2016 AND 2022
Chart 13 AI MARKET REVENUE, 2016–2022 ($MILLION)
Chart 14 AI – HUMANOID ROBOTICS
Chart 15 BIOMETRICS & NEUROSCIENCE MARKET REVENUE, 2016–2022 ($MILLION)
Chart 16 BIOMETRIC TYPES
Chart 17 3D MODELLING MARKET REVENUE, 2016–2022 ($MILLION)
Chart 18 PATTERN RECOGNITION MARKET REVENUE, 2016–2022 ($MILLION)
Chart 19 RECORDS MANAGEMENT MARKET REVENUE, 2016–2022 ($MILLION)
Chart 20 OTHERS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 21 SOLUTIONS MARKET SHARE, 2016 AND 2022
Chart 22 API: VALUE CHAIN
Chart 23 API – SERVER/SERVER & SDK – CLIENT/SERVER INTEGRATION
Chart 24 API & SDK MARKET REVENUE, 2016–2022 ($MILLION)
Chart 25 MOBILE APPLICATION
Chart 26 MOBILE AND WEB APPLICATIONS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 27 SOCIAL, MOBILE, ANALYTICS, CLOUD – BUSINESS ADVANTAGE
Chart 28 CLOUD MARKET REVENUE, 2016–2022 ($MILLION)
Chart 29 TYPES MARKET REVENUE, 2016 AND 2022
Chart 30 FACIAL RECOGNITION
Chart 31 FACIAL ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 32 VIDEO ANALYTICS – DEMOGRAPHICS
Chart 33 VIDEO ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 34 SPEECH ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 35 SPEECH ANALYTICS
Chart 36 QUALITY PROCESS WITH SPEECH ANALYTICS
Chart 37 SPEECH ANALYTICS SOFTWARE FOR CALL CENTERS
Chart 38 VERTICALS MARKET SHARE, 2016 AND 2022
Chart 39 MEDIA & ENTERTAINMENT MARKET REVENUE, 2016–2022 ($MILLION)
Chart 40 HEALTHCARE MARKET REVENUE, 2016–2022 ($MILLION)
Chart 41 RETAIL MARKET REVENUE, 2016–2022 ($MILLION)
Chart 42 EDUCATION MARKET REVENUE, 2016–2022 ($MILLION)
Chart 43 FINANCIAL SERVICES MARKET REVENUE, 2016–2022 ($MILLION)
Chart 44 PHOTOGRAPHY & EVENTS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 45 MARKET RESEARCH MARKET REVENUE, 2016–2022 ($MILLION)
Chart 46 OTHERS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 47 REGIONS MARKET SHARE, 2016 AND 2022
Chart 48 NORTH AMERICA EMOTION ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 49 EMEA EMOTION ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 50 EMEA EMOTION ANALYTICS MARKET REVENUE BY TYPES, 2016-2022 ($MILLION)
Chart 51 APAC EMOTION ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 52 LATIN AMERICA EMOTION ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 53 MARKET ATTRACTIVENESS BY TECHNOLOGIES
Chart 54 MARKET ATTRACTIVENESS BY TYPES
Chart 55 MARKET ATTRACTIVENESS BY VERTICALS
Chart 56 MARKET ATTRACTIVENESS BY SOLUTIONS
Chart 57 MARKET ATTRACTIVENESS BY GEOGRAPHICAL SEGMENTATION
Chart 58 KAIROS: OVERVIEW SNAPSHOT
Chart 59 KAIROS: BUSINESS UNITS
Chart 60 KAIROS: GEOGRAPHICAL PRESENCE
Chart 61 KAIROS: SWOT ANALYSIS
Chart 62 AFFECTIVA: OVERVIEW SNAPSHOT
Chart 63 AFFECTIVA: BUSINESS UNITS
Chart 64 AFFECTIVA: GEOGRAPHIC PRESENCE
Chart 65 AFFECTIVA: SWOT ANALYSIS
Chart 66 BEYOND VERBAL: OVERVIEW SNAPSHOT
Chart 67 BEYOND VERBAL: BUSINESS UNITS
Chart 68 BEYOND VERBAL: GEOGRAPHIC PRESENCE
Chart 69 BEYOND VERBAL: SWOT ANALYSIS
Chart 70 EYERIS: OVERVIEW SNAPSHOT
Chart 71 EYERIS: BUSINESS UNITS
Chart 72 EYERIS: GEOGRAPHIC PRESENCE
Chart 73 EYERIS: SWOT ANALYSIS
Chart 74 IMOTIONS: OVERVIEW SNAPSHOT
Chart 75 IMOTIONS: BUSINESS UNIT
Chart 76 IMOTIONS: GEOGRAPHIC PRESENCE
Chart 77 IMOTIONS: SWOT ANALYSIS
Chart 78 EMOTIENT: OVERVIEW SNAPSHOT
Chart 79 EMOTIENT: BUSINESS UNITS
Chart 80 EMOTIENT: GEOGRAPHICAL REVENUE
Chart 81 EMOTIENT: SWOT ANALYSIS
Chart 82 MICROSOFT: OVERVIEW SNAPSHOT
Chart 83 EMOTIENT: BUSINESS UNIT
Chart 84 EMOTIENT: GEOGRAPHICAL PRESENCES
Chart 85 EMOTIENT: SWOT ANALYSIS
Chart 86 NEUROMORE MARKET
Chart 87 RETINAD MARKET
Chart 88 REALEYES MARKET
Chart 89 NVISO MARKET
Chart 90 SAP: OVERVIEW SNAPSHOT
Chart 91 SAS: OVERVIEW SNAPSHOT
Chart 92 IBM: OVERVIEW SNAPSHOT
1.1 Industry Overview
1.2 Industry Trends
1.3 Pest Analysis
2 REPORT OUTLINE
2.1 Report Scope
2.2 Report Summary
2.3 Research Methodology
2.4 Report Assumptions
3 MARKET SNAPSHOT
3.1 Total Addressable Market (TAM)
3.2 Segmented Addressable Market (SAM)
3.3 Related Markets
3.3.1 Predictive Analytics
3.3.2 Human Resource (HR) Analytics
3.3.3 Cognitive Analytics
4 MARKET OUTLOOK
4.1 Overview
4.2 Market Definition – Infoholic Research
4.3 Evolution
4.4 Market Trends
4.5 Importance of Emotion Analytics
4.6 Speech Emotional Analytics
4.7 Emotion AI Integration
4.8 Market Segmentation
4.9 Porter 5(Five) Forces
5 MARKET CHARACTERISTICS
5.1 Emotion Analytics Features
5.2 Emotion Analytics Advantages
5.3 Emotion Analytics in Call Centers
5.4 Instruments to Measure Emotions
5.5 Market Dynamics
5.5.1 Drivers
5.5.1.1 Increase in the demand for video analytics
5.5.1.2 Huge investments in AI technologies
5.5.1.3 Rising demand for pattern recognition
5.5.1.4 Huge demand for mobile and web applications
5.5.2 Opportunities
5.5.2.1 Huge opportunities in robotics
5.5.2.2 Rising adoption of cloud APIs and SDKs
5.5.2.3 Demand from retail and education sectors
5.5.2.4 IoT will drive huge opportunities for different industries
5.5.3 Restraints
5.5.3.1 Complexity in text data
5.5.3.2 Complexities in languages
5.5.3.3 Lack of security and increase in fraud activities
5.5.4 DRO – Impact Analysis
5.5.5 Key Stakeholders
6 TECHNOLOGIES: MARKET SIZE AND ANALYSIS
6.1 Overview
6.2 AI
6.3 Biometrics & Neuroscience
6.4 3D Modelling
6.5 Pattern Recognition
6.6 Records Management (RM)
6.7 Others
7 SOLUTIONS: MARKET SIZE AND ANALYSIS
7.1 Overview
7.2 APIs & SDKs
7.3 Mobile and Web Applications
7.4 Cloud
8 TYPES: MARKET SIZE AND ANALYSIS
8.1 Overview
8.2 Facial Analytics
8.3 Video Analytics
8.4 Speech Analytics
9 VERTICALS: MARKET SIZE AND ANALYSIS
9.1 Overview
9.2 Media & Entertainment
9.2.1 Overview
9.2.2 Key Facts
9.3 Healthcare
9.3.1 Overview
9.3.2 Key Facts
9.4 Retail
9.4.1 Overview
9.4.2 Key Facts
9.5 Education
9.5.1 Overview
9.5.2 Key Facts
9.6 Financial Services
9.6.1 Overview
9.6.2 Key Facts
9.7 Photography & Events
9.7.1 Overview
9.7.2 Key Facts
9.8 Market Research
9.8.1 Overview
9.8.2 Key Facts
9.9 Others
9.9.1 Key Facts
10 REGIONS: MARKET SIZE AND ANALYSIS
10.1 Overview
10.2 North America
10.2.1 Overview
10.3 DRO – North America
10.3.1 US
10.3.2 Canada
10.4 EMEA
10.4.1 Overview
10.4.2 DRO – EMEA
10.4.2.1 UK
10.4.2.2 Germany
10.4.2.3 France
10.4.2.4 Israel
10.4.2.5 UAE
10.4.2.6 Turkey
10.5 APAC
10.5.1 Overview
10.5.2 DRO – APAC
10.5.2.1 India
10.5.2.2 Russia
10.5.2.3 Japan
10.5.2.4 China
10.6 Latin America
10.6.1 Overview
10.6.2 DRO – Latin America
10.6.2.1 Brazil
10.6.2.2 Mexico
11 MARKET ATTRACTIVENESS
11.1 Market Attractiveness by Technologies
11.2 Market Attractiveness by Types
11.3 Market Attractiveness by Verticals
11.4 Market Attractiveness by Solutions
11.5 Market Attractiveness by Regions
12 COMPETITIVE LANDSCAPE
12.1 Overview
12.2 Vendor Assessment
12.2.1 Kairos AR, Inc.
12.2.2 Affectiva Inc.
12.2.3 Beyond Verbal
12.2.4 Eyeris (Emovu)
12.2.5 iMotions A/S
12.2.6 Emotient (Apple)
12.2.7 Microsoft
13 VENDOR PROFILES
13.1 Kairos AR, Inc.
13.1.1 Overview
13.1.2 Business Unit
13.1.3 Geographic Presence
13.1.4 Business Focus
13.1.5 SWOT Analysis
13.1.6 Business Strategy
13.2 Affectiva Inc.
13.2.1 Overview
13.2.2 Business Unit
13.2.3 Geographic Presence
13.2.4 Business Focus
13.2.5 SWOT Analysis
13.2.6 Business Strategy
13.3 Beyond Verbal
13.3.1 Overview
13.3.2 Business Unit
13.3.3 Geographic Presence
13.3.4 Business Focus
13.3.5 SWOT Analysis
13.3.6 Business Strategy
13.4 Eyeris (EmoVu)
13.4.1 Overview
13.4.2 Business Unit
13.4.3 Geographic Presence
13.4.4 Business Focus
13.4.5 SWOT Analysis
13.4.6 Business Strategy
13.5 iMotions A/S
13.5.1 Overview
13.5.2 Business Unit
13.5.3 Geographic Presence
13.5.4 Business Focus
13.5.5 SWOT Analysis
13.5.6 Business Strategy
13.6 Emotient (Apple)
13.6.1 Overview
13.6.2 Business Unit
13.6.3 Geographic Revenue
13.6.4 Business Focus
13.6.5 SWOT Analysis
13.6.6 Business Strategy
13.7 Microsoft Corp.
13.7.1 Overview
13.7.2 Business Unit
13.7.3 Geographic Presences
13.7.4 Business Focus
13.7.5 SWOT Analysis
13.7.6 Business Strategy
14 COMPANIES TO WATCH FOR
14.1 Neuromore Inc.
14.1.1 Overview
14.1.2 Neuromore Market
14.1.3 Neuromore in Emotion Analytics
14.2 Retinad Virtual Reality Inc.
14.2.1 Overview
14.2.2 Retinad Market
14.2.3 Retinad in Emotion Analytics
14.3 Realeyes
14.3.1 Overview
14.3.2 Realeyes Market
14.3.3 Realeyes in Emotion Analytics
14.4 nViso SA
14.4.1 Overview
14.4.2 nViso Market
14.4.3 nViso in Emotion Analytics
15 GLOBAL GENERALIST
15.1 SAP AG.
15.1.1 Overview
15.1.2 SAP in Analytics Market
15.2 SAS Institute Inc.
15.2.1 Overview
15.2.2 SAS in Analytics Market
15.3 IBM Corp.
15.3.1 Overview
15.3.2 IBM in Emotion Analytics Market
Annexure
Abbreviations
Table 1 EMOTION ANALYTICS MARKET REVENUE BY TECHNOLOGIES, 2016–2022 ($MILLION)
Table 2 EMOTION ANALYTICS MARKET REVENUE BY SOLUTIONS, 2016–2022 ($MILLION)
Table 3 EMOTION ANALYTICS MARKET REVENUE BY TYPES, 2016–2022 ($MILLION)
Table 4 EMOTION ANALYTICS MARKET REVENUE BY VERTICALS, 2016–2022 ($MILLION)
Table 5 EMOTION ANALYTICS MARKET REVENUE BY REGIONS, 2016–2022 ($MILLION)
Table 6 NORTH AMERICA EMOTION ANALYTICS MARKET REVENUE BY TECHNOLOGIES, 2016–2022 ($MILLION)
Table 7 NORTH AMERICA EMOTION ANALYTICS MARKET GROWTH BY TECHNOLOGIES, 2016-2022, Y-O-Y (%)
Table 8 NORTH AMERICA EMOTION ANALYTICS MARKET REVENUE BY TYPES, 2016–2022 ($MILLION)
Table 9 NORTH AMERICA EMOTION ANALYTICS MARKET GROWTH BY TYPES, 2016–2022, Y-O-Y (%)
Table 10 NORTH AMERICA EMOTION ANALYTICS MARKET REVENUE BY SOLUTIONS, 2016–2022 ($MILLION)
Table 11 NORTH AMERICA EMOTION ANALYTICS MARKET GROWTH BY SOLUTIONS, 2016–2022, Y-O-Y (%)
Table 12 NORTH AMERICA EMOTION ANALYTICS MARKET REVENUE BY VERTICALS, 2016–2022 ($MILLION)
Table 13 NORTH AMERICA EMOTION ANALYTICS MARKET GROWTH BY VERTICALS, 2016–2022, Y-O-Y (%)
Table 14 DRO – NORTH AMERICA
Table 15 EMEA EMOTION ANALYTICS MARKET REVENUE BY TECHNOLOGIES, 2016–2022 ($MILLION)
Table 16 EMEA EMOTION ANALYTICS MARKET GROWTH BY TECHNOLOGIES, 2016-2022, Y-O-Y (%)
Table 17 EMEA EMOTION ANALYTICS MARKET GROWTH BY TYPES, 2016–2022, Y-O-Y (%)
Table 18 EMEA EMOTION ANALYTICS MARKET REVENUE BY SOLUTIONS, 2016–2022 ($MILLION)
Table 19 EMEA EMOTION ANALYTICS MARKET GROWTH BY SOLUTIONS, 2016–2022, Y-O-Y (%)
Table 20 EMEA EMOTION ANALYTICS MARKET REVENUE BY VERTICALS, 2016–2022 ($MILLION)
Table 21 EMEA EMOTION ANALYTICS MARKET GROWTH BY VERTICALS, 2016–2022, Y-O-Y (%)
Table 22 DRO - EMEA
Table 23 APAC EMOTION ANALYTICS MARKET REVENUE BY TECHNOLOGIES, 2016–2022 ($MILLION)
Table 24 APAC EMOTION ANALYTICS MARKET GROWTH BY TECHNOLOGIES, 2016-2022, Y-O-Y (%)
Table 25 APAC EMOTION ANALYTICS MARKET REVENUE BY TYPES, 2016–2022 ($MILLION)
Table 26 APAC EMOTION ANALYTICS MARKET GROWTH BY TYPES, 2016–2022, Y-O-Y (%)
Table 27 APAC EMOTION ANALYTICS MARKET REVENUE BY SOLUTIONS, 2016–2022 ($MILLION)
Table 28 APAC EMOTION ANALYTICS MARKET GROWTH BY SOLUTIONS, 2016–2022, Y-O-Y (%)
Table 29 APAC EMOTION ANALYTICS MARKET REVENUE BY VERTICALS, 2016–2022 ($MILLION)
Table 30 APAC EMOTION ANALYTICS MARKET GROWTH BY VERTICALS, 2016–2022, Y-O-Y (%)
Table 31 DRO - APAC
Table 32 LATIN AMERICA EMOTION ANALYTICS MARKET REVENUE BY TECHNOLOGIES, 2016–2022 ($THOUSAND)
Table 33 LATIN AMERICA EMOTION ANALYTICS MARKET GROWTH BY TECHNOLOGIES, 2016-2022, Y-O-Y (%)
Table 34 LATIN AMERICA EMOTION ANALYTICS MARKET REVENUE BY TYPES, 2016–2022 ($THOUSAND)
Table 35 LATIN AMERICA EMOTION ANALYTICS MARKET GROWTH BY TYPES, 2016–2022, Y-O-Y (%)
Table 36 LATIN AMERICA EMOTION ANALYTICS MARKET REVENUE BY SOLUTIONS, 2016–2022 ($THOUSAND)
Table 37 LATIN AMERICA EMOTION ANALYTICS MARKET GROWTH BY SOLUTIONS, 2016–2022, Y-O-Y (%)
Table 38 LATIN AMERICA EMOTION ANALYTICS MARKET REVENUE BY VERTICALS, 2016–2022 ($THOUSAND)
Table 39 DRO – LATIN AMERICA
Table 40 KAIROS: STRENGTH AND WEAKNESS
Table 41 AFFECTIVA: STRENGTH AND WEAKNESS
Table 42 BEYOND VERBAL: STRENGTH AND WEAKNESS
Table 43 EYERIS: STRENGTH AND WEAKNESS
Table 44 IMOTIONS A/S: STRENGTH AND WEAKNESS
Table 45 EMOTIENT (APPLE): STRENGTH AND WEAKNESS
Table 46 MICROSOFT: STRENGTH AND WEAKNESS
Chart 1 PEST ANALYSIS OF EMOTION ANALYTICS MARKET
Chart 2 RESEARCH METHODOLOGY OF WORLDWIDE EMOTION ANALYTICS MARKET
Chart 3 WORLDWIDE EMOTION ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 4 SPEECH EMOTIONAL ANALYTICS
Chart 5 EMOTION AI INTEGRATION
Chart 6 SEGMENTATION OF WORLDWIDE EMOTION ANALYTICS MARKET
Chart 7 PORTERS 5 FORCES ON WORLDWIDE EMOTION ANALYTICS MARKET
Chart 8 EMOTION ANALYTICS FEATURES
Chart 9 CALL CENTERS: NET SCORE, CALL TIME, AND CALL TRANSFERRING
Chart 10 DRO – IMPACT ANALYSIS OF WORLDWIDE EMOTION ANALYTICS MARKET
Chart 11 KEY STAKEHOLDERS
Chart 12 TECHNOLOGIES MARKET SHARE, 2016 AND 2022
Chart 13 AI MARKET REVENUE, 2016–2022 ($MILLION)
Chart 14 AI – HUMANOID ROBOTICS
Chart 15 BIOMETRICS & NEUROSCIENCE MARKET REVENUE, 2016–2022 ($MILLION)
Chart 16 BIOMETRIC TYPES
Chart 17 3D MODELLING MARKET REVENUE, 2016–2022 ($MILLION)
Chart 18 PATTERN RECOGNITION MARKET REVENUE, 2016–2022 ($MILLION)
Chart 19 RECORDS MANAGEMENT MARKET REVENUE, 2016–2022 ($MILLION)
Chart 20 OTHERS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 21 SOLUTIONS MARKET SHARE, 2016 AND 2022
Chart 22 API: VALUE CHAIN
Chart 23 API – SERVER/SERVER & SDK – CLIENT/SERVER INTEGRATION
Chart 24 API & SDK MARKET REVENUE, 2016–2022 ($MILLION)
Chart 25 MOBILE APPLICATION
Chart 26 MOBILE AND WEB APPLICATIONS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 27 SOCIAL, MOBILE, ANALYTICS, CLOUD – BUSINESS ADVANTAGE
Chart 28 CLOUD MARKET REVENUE, 2016–2022 ($MILLION)
Chart 29 TYPES MARKET REVENUE, 2016 AND 2022
Chart 30 FACIAL RECOGNITION
Chart 31 FACIAL ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 32 VIDEO ANALYTICS – DEMOGRAPHICS
Chart 33 VIDEO ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 34 SPEECH ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 35 SPEECH ANALYTICS
Chart 36 QUALITY PROCESS WITH SPEECH ANALYTICS
Chart 37 SPEECH ANALYTICS SOFTWARE FOR CALL CENTERS
Chart 38 VERTICALS MARKET SHARE, 2016 AND 2022
Chart 39 MEDIA & ENTERTAINMENT MARKET REVENUE, 2016–2022 ($MILLION)
Chart 40 HEALTHCARE MARKET REVENUE, 2016–2022 ($MILLION)
Chart 41 RETAIL MARKET REVENUE, 2016–2022 ($MILLION)
Chart 42 EDUCATION MARKET REVENUE, 2016–2022 ($MILLION)
Chart 43 FINANCIAL SERVICES MARKET REVENUE, 2016–2022 ($MILLION)
Chart 44 PHOTOGRAPHY & EVENTS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 45 MARKET RESEARCH MARKET REVENUE, 2016–2022 ($MILLION)
Chart 46 OTHERS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 47 REGIONS MARKET SHARE, 2016 AND 2022
Chart 48 NORTH AMERICA EMOTION ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 49 EMEA EMOTION ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 50 EMEA EMOTION ANALYTICS MARKET REVENUE BY TYPES, 2016-2022 ($MILLION)
Chart 51 APAC EMOTION ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 52 LATIN AMERICA EMOTION ANALYTICS MARKET REVENUE, 2016–2022 ($MILLION)
Chart 53 MARKET ATTRACTIVENESS BY TECHNOLOGIES
Chart 54 MARKET ATTRACTIVENESS BY TYPES
Chart 55 MARKET ATTRACTIVENESS BY VERTICALS
Chart 56 MARKET ATTRACTIVENESS BY SOLUTIONS
Chart 57 MARKET ATTRACTIVENESS BY GEOGRAPHICAL SEGMENTATION
Chart 58 KAIROS: OVERVIEW SNAPSHOT
Chart 59 KAIROS: BUSINESS UNITS
Chart 60 KAIROS: GEOGRAPHICAL PRESENCE
Chart 61 KAIROS: SWOT ANALYSIS
Chart 62 AFFECTIVA: OVERVIEW SNAPSHOT
Chart 63 AFFECTIVA: BUSINESS UNITS
Chart 64 AFFECTIVA: GEOGRAPHIC PRESENCE
Chart 65 AFFECTIVA: SWOT ANALYSIS
Chart 66 BEYOND VERBAL: OVERVIEW SNAPSHOT
Chart 67 BEYOND VERBAL: BUSINESS UNITS
Chart 68 BEYOND VERBAL: GEOGRAPHIC PRESENCE
Chart 69 BEYOND VERBAL: SWOT ANALYSIS
Chart 70 EYERIS: OVERVIEW SNAPSHOT
Chart 71 EYERIS: BUSINESS UNITS
Chart 72 EYERIS: GEOGRAPHIC PRESENCE
Chart 73 EYERIS: SWOT ANALYSIS
Chart 74 IMOTIONS: OVERVIEW SNAPSHOT
Chart 75 IMOTIONS: BUSINESS UNIT
Chart 76 IMOTIONS: GEOGRAPHIC PRESENCE
Chart 77 IMOTIONS: SWOT ANALYSIS
Chart 78 EMOTIENT: OVERVIEW SNAPSHOT
Chart 79 EMOTIENT: BUSINESS UNITS
Chart 80 EMOTIENT: GEOGRAPHICAL REVENUE
Chart 81 EMOTIENT: SWOT ANALYSIS
Chart 82 MICROSOFT: OVERVIEW SNAPSHOT
Chart 83 EMOTIENT: BUSINESS UNIT
Chart 84 EMOTIENT: GEOGRAPHICAL PRESENCES
Chart 85 EMOTIENT: SWOT ANALYSIS
Chart 86 NEUROMORE MARKET
Chart 87 RETINAD MARKET
Chart 88 REALEYES MARKET
Chart 89 NVISO MARKET
Chart 90 SAP: OVERVIEW SNAPSHOT
Chart 91 SAS: OVERVIEW SNAPSHOT
Chart 92 IBM: OVERVIEW SNAPSHOT
