The global emotional analytics market expected to expand at a CAGR of 15.6% during the forecast period from 2023 to 2030. Emotional Analytics is a next-gen technology and with its futuristic implications it has come under the limelight in business world. This technology is useful for data collection, data classification, data visualization and data analytics. Organizations are leveraging the capabilities of this technology to improve their customer relationship management (CRM). Developers are constantly making improvements in the efficiency and functionality of the software to make it compatible with wide range of software and hardware applications. The propulsion in the demand for emotional analytics market can also be associated to rising adoption of artificial intelligence by multiple organizations. Thus, driving the growth of the emotional analytics market.

Biometrics and Artificial Intelligence to Dominate and Register Maximum Growth throughout the Forecast Period

Based on technology, the global emotional analytics market is categorized into Artificial Intelligence, Biometrics and Neuroscience, 3D Modelling, Pattern Recognition, Records management, and Others (Facial recognition). Biometric and Neuroscience segment dominates the technology segment. This is due to its wide application and huge demand by organizations in the current market scenario. Biometric and Neuroscience followed by Artificial Intelligence is gaining popularity among organizations and is expected to register fastest growth during the forecast period of 2023-2030. This popularity is fuelled by deployment of artificial intelligence technology in various organizations and thus garners huge market share in global emotional analytics market.

North America Dominates; Asia Pacific Touted to Register Significant Growth during the Forecast Period

North America appeared as the market leader of the global emotional analytics market trailed by Asia Pacific and Europe respectively. North America is the fastest growing region of the world with highest revenue contribution. This is due to emergence of lots of advanced technologies and its implementation by various organizations. North America is the world’s largest region to implement cloud-based facial recognition technology and artificial intelligence. In contrast, Asia Pacific is set to register the highest growth rate during the forecast period of 2023-2030. The implementation of biometrics and facial recognition technologies by the government and defense & safety agencies are bolstering the market growth. Asia Pacific to be followed by Europe and Rest of the World.

Some of the leading manufacturers profiled in the study include Google, Inc., Apple, Inc., Facebook, Inc., Microsoft Corporation, IBM Corporation, Kairos AR, Inc., Affectiva Inc., Beyond Verbal, Eyris (Emovu), iMotions A/S, sensation.io, RealComm Global LLC, Neuromore Inc., Lightspeed LLC, Retinad Virtual Reality Inc. among others. Big players are such as Apple, Inc., Google, Inc. etc. are rapidly acquiring smaller players in order to gain a competitive edge. Despite the fact emotional analytics is a niche market, many players are investing in this technology in order to better understand the customers’ emotions and to make strategies accordingly to satisfy them.

Historical & Forecast Period

This study report represents analysis of each segment from 2022 to 2032 considering 2023 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2024 to 2032.

The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.

Research Methodology

The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Emotional Analytics market are as follows:

• Research and development budgets of manufacturers and government spending
• Revenues of key companies in the market segment
• Number of end users and consumption volume, price and value.
• Geographical revenues generate by countries considered in the report
• Micro and macro environment factors that are currently influencing the Emotional Analytics market and their expected impact during the forecast period.

Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.

Key questions answered in this report

• What are the key micro and macro environmental factors that are impacting the growth of Emotional Analytics market?
• What are the key investment pockets with respect to product segments and geographies currently and during the forecast period?
• Estimated forecast and market projections up to 2032.
• Which segment accounts for the fastest CAGR during the forecast period?
• Which market segment holds a larger market share and why?
• Are low and middle-income economies investing in the Emotional Analytics market?
• Which is the largest regional market for Emotional Analytics market?
• What are the market trends and dynamics in emerging markets such as Asia Pacific, Latin America, and Middle East & Africa?
• Which are the key trends driving Emotional Analytics market growth?
• Who are the key competitors and what are their key strategies to enhance their market presence in the Emotional Analytics market worldwide?