AI 기반 감정 분석 플랫폼 시장(2025-2029년)

The global ai-powered emotion analytics platform market is forecasted to grow by USD 17713.2 mn during 2024-2029, accelerating at a CAGR of 42.4% during the forecast period. The report on the global ai-powered emotion analytics platform market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by escalating demand for hyper-personalized customer and user experiences, stringent regulatory mandates and proactive focus on safety in critical industries, foundational breakthroughs in AI and machine learning capabilities.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global ai-powered emotion analytics platform market is segmented as below:

By Deployment

• Cloud
• On-premises

By Technology

• Facial recognition
• Speech analysis
• Text-based emotion detection
• Multimodal emotion recognition

By End-User

• Healthcare
• Automotive
• Retail and e-commerce
• Media and entertainment
• Others

Geography

• APAC
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Indonesia
• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • The Netherlands
  • Italy
  • Spain
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• Rest of World (ROW)

This study identifies the ascendancy of multimodal emotion AI for holistic understanding as one of the prime reasons driving the global ai-powered emotion analytics platform market growth during the next few years. Also, democratization of technology through emotion as service and api-first models and strategic shift towards real-time, edge-based processing will lead to sizable demand in the market.

The report on the global ai-powered emotion analytics platform market covers the following areas:

• Global ai-powered emotion analytics platform market sizing
• Global ai-powered emotion analytics platform market forecast
• Global ai-powered emotion analytics platform market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global ai-powered emotion analytics platform market vendors that include Affectiva Inc., Amazon.com Inc., Ascribe, BeEmotion.ai, BeyondVerbal, Cognovi Labs Inc., Emotibot Technologies, Entropik Technologies Pvt. Ltd, Eyeris Technologies Inc., Google Cloud, IBM Corp., Kairos AR Inc., Microsoft Corp., Morphcast Inc., Opsis Pte. Ltd., Realeyes, Tobii AB, Uniphore Technologies Inc., Wayvee Analytics. Also, the global ai-powered emotion analytics platform market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by Technology
  • Executive Summary - Chart on Market Segmentation by End-user
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2024
• 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

• 5.1 Global AI-Powered Emotion Analytics Platform Market 2019 - 2023
  • Historic Market Size - Data Table on Global AI-Powered Emotion Analytics Platform Market 2019 - 2023 ($ million)
• 5.2 Deployment segment analysis 2019 - 2023
  • Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
• 5.3 Technology segment analysis 2019 - 2023
  • Historic Market Size - Technology Segment 2019 - 2023 ($ million)
• 5.4 End-user segment analysis 2019 - 2023
  • Historic Market Size - End-user Segment 2019 - 2023 ($ million)
• 5.5 Geography segment analysis 2019 - 2023
  • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
• 5.6 Country segment analysis 2019 - 2023
  • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

• 6.1 Five forces summary
  • Five forces analysis - Comparison between 2024 and 2029
• 6.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2024 and 2029
• 6.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
• 6.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2024 and 2029
• 6.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2024 and 2029
• 6.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2024 and 2029
• 6.7 Market condition

7 Market Segmentation by Deployment

• 7.1 Market segments
• 7.2 Comparison by Deployment
• 7.3 Cloud - Market size and forecast 2024-2029
• 7.4 On-premises - Market size and forecast 2024-2029
• 7.5 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

8 Market Segmentation by Technology

• 8.1 Market segments
• 8.2 Comparison by Technology
• 8.3 Facial recognition - Market size and forecast 2024-2029
• 8.4 Speech analysis - Market size and forecast 2024-2029
• 8.5 Text-based emotion detection - Market size and forecast 2024-2029
• 8.6 Multimodal emotion recognition - Market size and forecast 2024-2029
• 8.7 Market opportunity by Technology
  • Market opportunity by Technology ($ million)

9 Market Segmentation by End-user

• 9.1 Market segments
• 9.2 Comparison by End-user
• 9.3 Healthcare - Market size and forecast 2024-2029
• 9.4 Automotive - Market size and forecast 2024-2029
• 9.5 Retail and e-commerce - Market size and forecast 2024-2029
• 9.6 Media and entertainment - Market size and forecast 2024-2029
• 9.7 Others - Market size and forecast 2024-2029
• 9.8 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

10 Customer Landscape

• 10.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

• 11.1 Geographic segmentation
• 11.2 Geographic comparison
• 11.3 APAC - Market size and forecast 2024-2029
  • 11.3.1 China - Market size and forecast 2024-2029
  • 11.3.2 Japan - Market size and forecast 2024-2029
  • 11.3.3 India - Market size and forecast 2024-2029
  • 11.3.4 Australia - Market size and forecast 2024-2029
  • 11.3.5 South Korea - Market size and forecast 2024-2029
  • 11.3.6 Indonesia - Market size and forecast 2024-2029
• 11.4 North America - Market size and forecast 2024-2029
  • 11.4.1 US - Market size and forecast 2024-2029
  • 11.4.2 Canada - Market size and forecast 2024-2029
  • 11.4.3 Mexico - Market size and forecast 2024-2029
• 11.5 Europe - Market size and forecast 2024-2029
  • 11.5.1 Germany - Market size and forecast 2024-2029
  • 11.5.2 UK - Market size and forecast 2024-2029
  • 11.5.3 France - Market size and forecast 2024-2029
  • 11.5.4 The Netherlands - Market size and forecast 2024-2029
  • 11.5.5 Italy - Market size and forecast 2024-2029
  • 11.5.6 Spain - Market size and forecast 2024-2029
• 11.6 South America - Market size and forecast 2024-2029
  • 11.6.1 Brazil - Market size and forecast 2024-2029
  • 11.6.2 Argentina - Market size and forecast 2024-2029
  • 11.6.3 Colombia - Market size and forecast 2024-2029
• 11.7 Middle East and Africa - Market size and forecast 2024-2029
  • 11.7.1 Saudi Arabia - Market size and forecast 2024-2029
  • 11.7.2 UAE - Market size and forecast 2024-2029
  • 11.7.3 South Africa - Market size and forecast 2024-2029
  • 11.7.4 Israel - Market size and forecast 2024-2029
  • 11.7.5 Turkey - Market size and forecast 2024-2029
• 11.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

• 12.1 Market drivers
  • Escalating demand for hyper-personalized customer and user experiences
  • Stringent regulatory mandates and proactive focus on safety in critical industries
  • Foundational breakthroughs in AI and machine learning capabilities
• 12.2 Market challenges
  • Navigating complex web of data privacy and ethics
  • Addressing algorithmic bias and lack of cross-cultural generalizability
  • Fundamental problem of accuracy, interpretation and emotional complexity
• 12.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029
• 12.4 Market opportunities
  • Ascendancy of multimodal emotion AI for holistic understanding
  • Democratization of technology through emotion as service and API-first models
  • Strategic shift towards real-time, edge-based processing

13 Competitive Landscape

• 13.1 Overview
• 13.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 13.3 Landscape disruption
  • Overview on factors of disruption
• 13.4 Industry risks
  • Impact of key risks on business

14 Competitive Analysis

• 14.1 Companies profiled
  • Companies covered
• 14.2 Company ranking index
  • Company ranking index
• 14.3 Market positioning of companies
  • Matrix on companies position and classification
• 14.4 Affectiva Inc.
  • Affectiva Inc. - Overview
  • Affectiva Inc. - Product / Service
  • Affectiva Inc. - Key offerings
  • SWOT
• 14.5 Amazon.com Inc.
  • Amazon.com Inc. - Overview
  • Amazon.com Inc. - Business segments
  • Amazon.com Inc. - Key news
  • Amazon.com Inc. - Key offerings
  • Amazon.com Inc. - Segment focus
  • SWOT
• 14.6 Ascribe
  • Ascribe - Overview
  • Ascribe - Product / Service
  • Ascribe - Key offerings
  • SWOT
• 14.7 BeEmotion.ai
  • BeEmotion.ai - Overview
  • BeEmotion.ai - Product / Service
  • BeEmotion.ai - Key offerings
  • SWOT
• 14.8 BeyondVerbal
  • BeyondVerbal - Overview
  • BeyondVerbal - Product / Service
  • BeyondVerbal - Key offerings
  • SWOT
• 14.9 Cognovi Labs Inc.
  • Cognovi Labs Inc. - Overview
  • Cognovi Labs Inc. - Product / Service
  • Cognovi Labs Inc. - Key offerings
  • SWOT
• 14.10 Entropik Technologies Pvt. Ltd
  • Entropik Technologies Pvt. Ltd - Overview
  • Entropik Technologies Pvt. Ltd - Product / Service
  • Entropik Technologies Pvt. Ltd - Key offerings
  • SWOT
• 14.11 Google Cloud
  • Google Cloud - Overview
  • Google Cloud - Product / Service
  • Google Cloud - Key offerings
  • SWOT
• 14.12 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 14.13 Kairos AR Inc.
  • Kairos AR Inc. - Overview
  • Kairos AR Inc. - Product / Service
  • Kairos AR Inc. - Key offerings
  • SWOT
• 14.14 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 14.15 Opsis Pte. Ltd.
  • Opsis Pte. Ltd. - Overview
  • Opsis Pte. Ltd. - Product / Service
  • Opsis Pte. Ltd. - Key offerings
  • SWOT
• 14.16 Tobii AB
  • Tobii AB - Overview
  • Tobii AB - Business segments
  • Tobii AB - Key offerings
  • Tobii AB - Segment focus
  • SWOT
• 14.17 Uniphore Technologies Inc.
  • Uniphore Technologies Inc. - Overview
  • Uniphore Technologies Inc. - Product / Service
  • Uniphore Technologies Inc. - Key offerings
  • SWOT
• 14.18 Wayvee Analytics
  • Wayvee Analytics - Overview
  • Wayvee Analytics - Product / Service
  • Wayvee Analytics - Key offerings
  • SWOT

15 Appendix

• 15.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 15.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 15.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 15.4 Research methodology
  • Research methodology
• 15.5 Data procurement
  • Information sources
• 15.6 Data validation
  • Data validation
• 15.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 15.8 Data synthesis
  • Data synthesis
• 15.9 360 degree market analysis
  • 360 degree market analysis
• 15.10 List of abbreviations
  • List of abbreviations