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The global emotion analytics market size is projected to grow from USD 3.51 billion in 2023 to USD 14.25 billion by 2032, growing at a CAGR of 16.90% in the 2024-2032 forecast period.
The major driving factors of the market are the need for improved customer satisfaction, increased value for real-time emotional analytics, adherence to regulatory and enforcement requirements, and the increased demand for emotional analytics services to cater to the growing business process outsourcing industry.
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The emotion analytics market can be segmented into type, technology, solutions, application, and end-use.
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The industry can be broadly categorised based on its type into:
The industry can be divided based on its technology as:
Based on solutions, the industry can be categorised as:
The industry can be divided based on its application as:
The industry can be classified based on its end-use as:
The EMR report looks into the regional emotion analytics markets like North America, Latin America, Europe, the Middle East and Africa, and the Asia Pacific.
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The major driver for the growth of the emotional analytics market is the growing need for critical decision making related to understanding human behaviour, which is an enterprise that allows many companies to incorporate emotional analytics technology in their process. The emotional analytics Internet of Things helps organisations understand human emotions better and will be a new marketing dimension in the forecast period. In many organisations, biometric innovations focused on smartphone and cloud are being significantly adopted. These factors will drive the growth of the emotion analytics market globally.
The report presents a detailed analysis of the following key players in the global emotion analytics market, looking into their capacity, competitive landscape, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:
The EMR report gives an in-depth insight into the industry by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
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Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Technology |
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Breakup by Solutions |
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Breakup by Application |
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Breakup by End Use |
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Market Dynamics |
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Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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In 2023, the global emotion analytics market attained a value of nearly USD 3.51 billion.
The market is projected to grow at a CAGR of 16.90% between 2024 and 2032.
The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach about USD 14.25 billion by 2032.
The major drivers of the market are growing need to personalise the online experiences of customers, rising smartphone and internet penetration, expanding business process outsourcing, and growing technological advancements.
The development of IoT services by integrating emotion recognition and growing demand for real-time emotional analytics are the key trends guiding the growth of the emotion analytics market.
The major regions in the market are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
Text analytics, facial analytics, speech analytics, and video analytics are the leading types in the market.
The significant technologies of the product include artificial intelligence, biometrics and neuroscience, 3D modelling, pattern recognition, and records management, among others.
Mobile and web application and cloud, among others, are the major solutions of emotion analytics in the market.
The significant applications of the product in the market include sales and marketing management, customer experience management, competitive intelligence, public safety and law enforcement, and workforce management.
Banking, financial services and insurance, IT and telecommunication, retail and media, and government, among others, are the major end uses of the product in the market.
The major players in the market are Beyond Verbal Communication Ltd., iMotions, Affectiva, Microsoft Corporation, International Business Machines Corporation, and NVISO SA, among others.
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