Overview:
Human emotions are read and analyzed by voice, gesture, and face inputs. The emotion analytics is the examination of a person’s verbal and non-verbal communications in order to understand the mood and attitude based on seven universally accepted emotions – joy, surprise, anger, contempt, sadness, disgust, and fear. 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 TMR, the Worldwide Emotion Analytics market is estimated to witness a CAGR of 82.9% during the forecast period 2016–2022 to aggregate $1,711.0 million by 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.
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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.
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Key Players:
Some of the key players are Microsoft, IBM, Retinad Virtual Reality, Neuromore, Imotions A/S, Kairos, Beyond Verbal, Affectiva, Eyeris (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
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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 to aggregate $1,711.0 million by 2022.
The emotion analytics market is analyzed based on five segments – technologies, types, solutions, verticals and regions.
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.
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.
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.Request For Report Discount@ https://www.trendsmarketresearch.com/report/discount/9798 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.
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, Eyeris (EmoVu), etc.
Real-time notification and alerts are a high-priority in various developed and developing countries; increasing number of vehicles on-road and providing seamless movement of roadside assistance and emergency response seems to be the biggest problem in cities across the world.
However, with the advent of technology solutions and IoT devices, roadside assistance can be simplified.
The development of connected vehicles technology has opened up the automotive ecosystem to include other participants such as authorized vehicle service providers, insurance providers, emergency response teams, toll booths, independent software vendors, and app developers that has culminated to give rise to the concept of connected roadside assistance solution.
In addition, lack of connected roadside assistance standards and technology infrastructure are holding back the potential of connected roadside assistance solution in emerging and undeveloped economies.
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The revenue is generated mainly from North America, Europe, and Asia Pacific.
Real-time notification and alerts are a high-priority in various developed and developing countries; increasing number of vehicles on-road and providing seamless movement of roadside assistance and emergency response seems to be the biggest problem in cities across the world.
However, with the advent of technology solutions and IoT devices, roadside assistance can be simplified.More insightful information | Request a sample copy @ https://www.trendsmarketresearch.com/report/sample/9743The development of connected vehicles technology has opened up the automotive ecosystem to include other participants such as authorized vehicle service providers, insurance providers, emergency response teams, toll booths, independent software vendors, and app developers that has culminated to give rise to the concept of connected roadside assistance solution.Connected vehicles are considered to be one of the major drivers for investment in cellular communications technologies, which is driving the connected roadside assistance solution market.
Connected roadside assistance solution is just not software rather than it’s an amalgamation of many tools, hardware devices, software, and applications, which works in sync to provide roadside assistance.In addition, lack of connected roadside assistance standards and technology infrastructure are holding back the potential of connected roadside assistance solution in emerging and undeveloped economies.
Various types of internet-enabled connected roadside assistance solutions come with a proprietary software, which makes it difficult for connected roadside assistance hardware devices to communicate with other devices.In addition, the adoption of internet-enabled devices in vehicle diagnostics has picked up but not as expected in emerging economies such as India and Brazil.
The regions covered include North America, Europe, Asia Pacific, and Latin America, Middle East, & Africa.
The revenue is generated mainly from North America, Europe, and Asia Pacific.
The report "Facial Recognition Market by Component (Software Tools (3D Facial Recognition) and Services), Application (Law Enforcement, Access Control, Emotion Recognition), Vertical (BFSI, Government and Defense, Automotive), and Region - Global Forecast to 2025", size is expected to grow from USD 3.8 billion in 2020 to USD 8.5 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 17.2% during the forecast period.
It is also expected to witness substantial growth in the next five years due to increased investments by the government and defense sectors.
Moreover, the growing surveillance industry, particularly in North America and Europe, would push companies to deploy or develop facial recognition solutions in the coming years.
Furthermore, a high adoption rate is expected to be registered in APAC during the forecast period.Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=995Since the 1960s, facial recognition technology has witnessed major changes due to the rising investments in the surveillance space by enterprises globally.
The technology has helped criminal investigations and facilitated various departments in the rapid identification of offenders.
Currently, 3D facial recognition software is gaining traction in among end users, as it can accurately detect and identify various facial expressions and positions.