Emotion Detection and Recognition (EDR) Market by Component (Software (Facial Expression Recognition, Speech & Voice Recognition) and Services), Application Area, End User, Vertical, and Region (North America, Europe, APAC, RoW) - Global Forecast to 2027
The global Emotion Detection and Recognition Market size was valued at $23.5 billion in 2022 and it is projected to reach $42.9 billion by the end of 2027 at a CAGR of 12.8% during the forecast period. The major factors driving the market growth include the adoption of AI, ML, and deep learning technologies across the globe, rising need for emotion recognition models by intelligent systems, and growing popularity of wearable devices. Moreover, the increasing demand for IoT technology and applications and the increasing government initiatives to leverage benefits of EDR technology will drive the demand for these products in the near future.
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COVID-19 Impact
Amidst the COVID-19 pandemic crisis, various governments and regulatory authorities mandate both public and private organizations to embrace new practices for working remotely and maintaining social distancing. Since then, the digital ways of doing business became the new Business Continuity Plan (BCP) for various organizations.
- Rise in government initiatives on technology advancements in AI for security and public safety during COVID-19.
- Increase in demand in telehealth systems to drive the demand for effective computing technology adoption
- Emerging touchless identity verification systems to increase the demand for effective computing systems
Emotion Detection and Recognition Market Dynamics
Driver: Growing popularity of wearable devices
Skin-conductance sensors are widely used by psychologists and therapists in clinics, hospitals, and other settings. Additionally, bracelets now have emotional components as a result of the Internet of Things (IoT). These emotion-based sensors are simple to use and moderately priced and have a wide range of applications. They can be used to monitor and analyze physical health, access responses to stressful events, and enhance how people deal with stress and anxiety. Emotional Artificial Intelligence (AI)-supported hardware and software may detect and analyze eye movements, facial expressions, voice changes, and more, in addition to monitoring and analyzing skin conductance, breathing, and heart rate. They do not require costly hardware, but rather the installation of some recognition software or new code for PCs or cellphones.
Restraint: High production cost
EDR system manufacture is much expensive and the subsequent return on investment is less substantial, making it difficult for organizations with limited financial resources to use the platform. The bulk of supporting technologies, such as wearable computing and gesture recognition, have high development costs, posing a barrier to the industry's growth. One of the primary challenges to organizations implementing these solutions and services is the expense of educating Al enablers to perform a certain task. Understanding and triggering human emotions is a variable that requires substantial programming, training, and debugging methods. The financial expense of implementing emotion detection technology solutions and the cultural understanding of human society is huge and complicated, leading to a slow adoption rate during the forecast period.
Opportunity: Increasing government initiatives to leverage benefits of EDR technology
Emotion detection technology is becoming increasingly popular with businesses and governments all over the world. For instance, the UK government is utilizing Al to identify and gauge residents' emotions on social media. Additionally, government agencies and EDR organizations are creating councils, defining new norms and rules, and constructing frameworks to implement Al governance solutions. Corporations have organized committees to identify risk issues for Al technology, and local governments and industrial clusters have invested in Al technology and organized committees to perform in-depth investigations on the ethical usage of Al. For instance, in March 2021, the French government funded USD 2.4 billion for Al technology development and organized an international study committee in conjunction with Canada to investigate the consequences and new potential of Al technology.
Challenge: Ethical issues in EDR technology
EDR has been operating for a while, but it has recently come under scrutiny. This is mostly due to the ethical problems that customers and technology developers are becoming increasingly aware of. Scepticism is mostly motivated by inefficiencies and biases in EDR models. This technology is immensely divisive, especially in the realm of law enforcement. Several cases of wrongful incarceration may be traced back to defective facial and emotion detection technologies. As a result, many firms have abandoned EDR, while others are unwilling to adopt it. For instance, following the George Floyd case, IBM stopped providing face and emotion recognition software to law enforcement groups for mass monitoring or racial profiling. After IBM's announcement, Amazon set a one-year embargo on the use of face and EDR technology. Similarly, Microsoft prohibited the police from using their facial recognition technology until new government regulations and policies were enacted.
Emotion Detection and Recognition Market Ecosystem
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By vertical, the healthcare and social assistance segment to grow at the highest market size during the forecast period
Emotion detection technology is becoming increasingly useful in medical emergencies and healthcare, allowing doctors to spend more time with their patients. It also helps patients become more aware of their emotional states and better manage their emotions in stressful or demanding situations. Additionally, AI can help doctors and therapists increase emotional awareness for their patients, such as in expressing empathy, and deliver diagnoses more quickly and with more accuracy. It can also be an important tool to predict how patients will approach therapy and take steps to ensure they are successful and remain in treatment. Thus, these factors drives the healthcare and social assistance segment to grow at the highest market size during the forecast period.
By Software, the biosensing solutions and apps segment to grow at the highest market size during the forecast period
This technology is gaining popularity due to its dependability, precision, and low cost. Moreover, biometric identification technologies provide financial institutions with a competitive edge as clients want better security against fraud and identity theft. Additionally, the consumer electronics business is one that is always growing. This industry has seen a fast increase in new advances in recent years. Alexa, a voice assistant speaker or smartphone with speech and voice recognition capabilities, is a well-known example of these advancements. Due to its security and cost-effectiveness, biometrics is also considered to be one of the most groundbreaking technologies in the consumer electronics market. As a result, the biosensing solutions and applications category is expected to increase at the fastest rate over the projection period.
By component, the services segment is to grow at the highest CAGR during the forecast period
The increasing adoption of AI and ML in biometrics, as well as security and surveillance, has encouraged the growth of the emotion detection and recognition market, which, in turn, is projected to drive the growth of the services segment. Additionally, with several regions adapting to new image recognition technology trends, the usage rate of image recognition solutions and services by verticals, such as security and surveillance, retail, and automobiles, is increasing. Thus, driving the services segment to grow at the highest CAGR during the forecast period.
By region, North America to account for the highest market size during the forecast period
Many significant market players are present in North America, providing cutting-edge solutions to all regional end customers. In North America, the US and Canada are anticipated to contribute significantly to the expansion of the market for emotion detection and recognition due to their robust economies. Apart from this aspect, the geographical presence, strategic investments, collaborations, and substantial Research and Development efforts are influencing the extensive deployments of emotion detection and recognition systems. Enhanced emotion detection and recognition solutions are provided by leading vendors like Affectiva, Kairos, and Eyeris as well as a number of startups in the area to meet consumer demands. Thus, these factors are anticipated to support the market for global emotion recognition and detection in North America.
Key Market Players
NEC (Japan), IBM (US), Microsoft (US), Apple (US), Google (US), Tobii (Sweden), Affectiva (US), Elliptic Labs (Norway), Intel (US), Cognitec (Germany), NVISO (Switzerland), Noldus (Netherlands), Gesturetek (Canada), iMotions (Denmark), Numenta (US), PointGrab (Israel), Ayonix (Japan), Pyreos (UK), Eyeris (US), Beyond Verbal (Israel), Kairos (US), Sentiance (Belgium), Raydiant (US), and Sony Depthsensing Solutions (Belgium) are the key players and other players in the EDR market.
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Report Metrics |
Details |
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Market size in 2022 |
US $23.5 billion |
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Revenue Forecast Size in 2027 |
US $42.9 billion |
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Growth Rate |
12.8% CAGR |
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Segments covered |
Component, Software, Application Area, End User, Vertical And Region |
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Geographies covered |
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
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Companies covered |
Major vendors in the global EDR market include NEC (Japan), IBM (US), Microsoft (US), Apple (US), Google (US), Tobii (Sweden), Affectiva (US), Elliptic Labs (Norway), Intel (US), Cognitec (Germany), NVISO (Switzerland), Noldus (Netherlands), GestureTek (Canada), iMotions (Denmark), Numenta (US), PointGrab (Israel), Ayonix (Japan), Pyreos (UK), Eyeris (US), Beyond Verbal (Israel), Kairos (US), Sentiance (Belgium), Raydiant (US), and Sony Depthsense Solutions (Belgium). |
The study categorizes the EDR market by component, software, application areas, end users, verticals, and region.
By Component:
- Software
- Services
By Software:
- Facial Expression Recognition
- Biosensing Solutions and Apps
- Speech and Voice Recognition
- Gesture and Posture Recognition
By Application Areas:
- Medical Emergency
- Marketing and Advertising
- Law Enforcement, Surveillance, and Monitoring
- Entertainment and Consumer Electronics
- Other Application areas (robotics and eLearning)
By End Users:
- Enterprises
- Defense and Security Agency
- Commercial
- Industrial
- Other End User (people using wearable devices, mobile phones, and independent institutions)
By Verticals:
- Academia and Research
- Media and Entertainment
- IT and ITES
- Healthcare and Social Assistance
- Telecommunications
- Retail and eCommerce
- Automotive
- BFSI
- Other Verticals (travel, security, energy and power, and consumer electronics)
By Region:
- North America
- Europe
- Middle East and Africa
- Asia Pacific
- Latin America
Recent Developments
- In February 2022, NEC has strengthened its strategic collaboration with SAP to accelerate NEC’s corporate transformation (CX) and to co-create business opportunities. It will utilize the latest SAP solutions to accelerate CX, based on the results of the reforms it has made using SAP solutions. Through this, NEC aims to achieve data-driven management, respond flexibly to changes in the business environment, and maximize the capabilities of its employees.
- In February 2022, IBM acquired Neudesic, a leading US cloud services consultancy specializing primarily in the Microsoft Azure platform, along with bringing skills in multi-cloud. This acquisition will significantly expand IBM's portfolio of hybrid multi-cloud services and further advance the company's hybrid cloud and AI strategy.
- In November 2021, Kyndryl and Microsoft announced a landmark global strategic partnership that will combine their market-leading capabilities in service of enterprise customers. The deal with Microsoft is Kyndryl’s first since recently becoming an independent public company and provides incremental multi-billion-dollar revenue opportunities for the two companies.
- In November 2021, Tobii confirmed that Microsoft implemented support for Tobii Eye Tracker 5 and Tobii Horizon in Flight Simulator. Tobii Eye Tracker 5, engineered for PC gamers, translates the player's eye and head movements into data to enable new levels of game control, game analytics, and streaming. For games like Flight Simulator, where situational awareness makes all the difference, the integration allows users to immerse themselves in the plane's cockpit and take command as a pilot.
- In August 2021, Apple acquired Primephonic, the renowned classical music streaming service that offers an outstanding listening experience with search and browse functionality optimized for classical, premium-quality audio, handpicked expert recommendations, and extensive contextual details on repertoire and recordings.
Frequently Asked Questions (FAQ):
What are the opportunities in the global emotion detection and recognition market?
Increasing demand for IoT technology and applications and increasing government initiatives to leverage benefits of EDR technology are market opportunities are creating opportunities for the global emotion detection and recognition market.
What is the definition of the emotion detection and recognition market?
EDR can be defined as the science of identifying and analyzing various emotional cues such as facial expressions, gesture and posture, tone of speech, and/or other physiological dynamics associated with human emotions, in real or non-real-time.
Which region is expected to show the highest market share in the emotion detection and recognition market?
North America is expected to account for the largest market share during the forecast period.
What are the major market players covered in the report?
Major vendors, namely, include NEC (Japan), IBM (US), Microsoft (US), Apple (US), Google (US), Tobii (Sweden), Affectiva (US), Elliptic Labs (Norway), Intel (US), Cognitec (Germany), NVISO (Switzerland), Noldus (Netherlands), Gesturetek (Canada), iMotions (Denmark), Numenta (US), PointGrab (Israel), Ayonix (Japan), Pyreos (UK), Eyeris (US), Beyond Verbal (Israel), Kairos (US), Sentiance (Belgium), Raydiant (US), and Sony Depthsense Solutions (Belgium).
What is the current size of the global emotion detection and recognition market?
The global emotion detection and recognition market size is projected to grow from USD 23.5 billion in 2022 to USD 42.9 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 12.8% during the forecast period.
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The study involved major activities in estimating the current market size for the EDR market. Exhaustive secondary research was done to collect information on the EDR industry. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, such as top-down and bottom-up, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the EDR market.
Secondary Research
In the secondary research process, various sources were referred to for identifying and collecting information regarding the study. The secondary sources included annual reports, press releases, investor presentations of EDR software and service vendors, forums, certified publications, and white papers. The secondary research was used to obtain key information about the industry’s supply chain, the total pool of key players, market classification, and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both market and technology-oriented perspectives, all of which were further validated by primary sources. The factors considered for estimating the regional market size are technological initiatives undertaken by governments of different countries, Gross Domestic Product (GDP) growth, ICT spending, recent market developments, and market ranking analysis of major EDR solution providers.
Primary Research
Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side included industry experts, including Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various key companies and organizations operating in the EDR market.
In the complete market engineering process, the top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform the market estimation and market forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list the key information/insights throughout the report.
After the complete market engineering process (including calculations for market statistics, market breakups, market size estimations, market forecasts, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. The primary research was also conducted to identify the segmentation types; industry trends; the competitive landscape of EDR market players; and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key strategies.
Following is the breakup of the primary study:
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Top-down and bottom-up approaches were used to estimate and validate the size of the global EDR market and estimate the size of various other dependent sub-segments in the overall EDR market. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their revenue contributions in respective regions were determined through primary and secondary research. This entire procedure included the study of the annual and financial reports of the top market players, and extensive interviews were conducted for key insights from the industry leaders, such as CEOs, VPs, directors, and marketing executives. All percentage splits and breakups were determined using secondary sources and verified through primary sources.
Data Triangulation
After arriving at the overall market size using the market size estimation processes explained above, the market was split into several segments and subsegments. The data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment. The data was triangulated by studying various factors and trends from both the demand and supply sides.
Market Definition
EDR is the study of recognizing and interpreting different emotional signals, such as facial expressions, posture and movement, speech inflection, and/or other physiological dynamics, in real-time or non-real-time. It provides businesses with the ability to identify, process, and analyze data in multiple structured and unstructured forms for various business purposes.
Key Stakeholders
- Technology Providers
- System Integrators
- End Users
Report Objectives
To define, describe, and forecast the EDR market based on offerings, organization sizes, offering types, verticals, and regions
- To forecast the market size of five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
- To analyze the subsegments of the market with respect to individual growth trends, prospects, and contributions to the overall market
- To provide detailed information related to the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the EDR market
- To analyze opportunities in the market for stakeholders by identifying high-growth segments of the EDR market
- To profile the key players of the EDR market and comprehensively analyze their market size and core competencies.
- To track and analyze competitive developments, such as new product launches; mergers and acquisitions; and partnerships, agreements, and collaborations in the global EDR market.
Customization Options
With the given market data, MarketsandMarkets offers customizations based on company-specific needs. The following customization options are available for the report:
Geographic Analysis
- Further breakup of the Asia Pacific market into countries contributing 75% to the regional market size
- Further breakup of the North American market into countries contributing 75% to the regional market size
- Further breakup of the Latin American market into countries contributing 75% to the regional market size
- Further breakup of the Middle Eastern & African market into countries contributing 75% to the regional market size
- Further breakup of the European market into countries contributing 75% to the regional market size
Company Information
- Detailed analysis and profiling of additional market players (up to 5)
Generating Response ...
Growth opportunities and latent adjacency in Emotion Detection and Recognition (EDR) Market