Global Emotion Recognition Software Market Research Report 2024(Status and Outlook)

Global Emotion Recognition Software Market Research Report 2024(Status and Outlook)



Report Overview:

The Global Emotion Recognition Software Market Size was estimated at USD 3375.05 million in 2023 and is projected to reach USD 7685.31 million by 2029, exhibiting a CAGR of 14.70% during the forecast period.

This report provides a deep insight into the global Emotion Recognition Software market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, Porter’s five forces analysis, value chain analysis, etc.

The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global Emotion Recognition Software Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.

In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the Emotion Recognition Software market in any manner.

Global Emotion Recognition Software Market: Market Segmentation Analysis

The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.

Key Company

FaceReader

Behavioral Signals

IBM

SkyBiometry

Megvii

Kairos

Luxand

Microsoft

Cynny

NtechLab

Emozo Labs

CoolTool

Amazon

iMotions

Element Human

Good Vibrations Company

EyeSee

AdMobilize

Resonate

Google

Sightcorp

Tobii Pro

Affect Lab

EyeRecognize

Betaface

Affectiva

Noldus Information Technology

Beyond Verbal

Realeyes

EmoVu

Market Segmentation (by Type)

Detecting Physiological Signals

Detecting Emotional Behavior

Market Segmentation (by Application)

Medical Emergencies and Healthcare

Advertising

Law Enforcement

Entertainment and Consumer Electronics

Others

Geographic Segmentation
  • North America (USA, Canada, Mexico)
  • Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
  • Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
  • South America (Brazil, Argentina, Columbia, Rest of South America)
  • The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
  • Industry drivers, restraints, and opportunities covered in the study
  • Neutral perspective on the market performance
  • Recent industry trends and developments
  • Competitive landscape & strategies of key players
  • Potential & niche segments and regions exhibiting promising growth covered
  • Historical, current, and projected market size, in terms of value
  • In-depth analysis of the Emotion Recognition Software Market
  • Overview of the regional outlook of the Emotion Recognition Software Market:
Key Reasons to Buy this Report:
  • Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
  • This enables you to anticipate market changes to remain ahead of your competitors
  • You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
  • The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
  • Provision of market value (USD Billion) data for each segment and sub-segment
  • Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
  • Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
  • Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
  • Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
  • The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
  • Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
  • Provides insight into the market through Value Chain
  • Market dynamics scenario, along with growth opportunities of the market in the years to come
  • 6-month post-sales analyst support
Customization of the Report

In case of any queries or customization requirements, please connect with our sales team, who will ensure that your requirements are met.

Note: this report may need to undergo a final check or review and this could take about 48 hours.

Chapter Outline

Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.

Chapter 2 is an executive summary of different market segments (by region, product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the Emotion Recognition Software Market and its likely evolution in the short to mid-term, and long term.

Chapter 3 makes a detailed analysis of the Market's Competitive Landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.

Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.

Chapter 5 introduces the latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 7 provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 8 provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.

Chapter 9 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.

Chapter 10 provides a quantitative analysis of the market size and development potential of each region in the next five years.

Chapter 11 provides a quantitative analysis of the market size and development potential of each market segment (product type and application) in the next five years.

Chapter 12 is the main points and conclusions of the report.


1 Research Methodology and Statistical Scope
1.1 Market Definition and Statistical Scope of Emotion Recognition Software
1.2 Key Market Segments
1.2.1 Emotion Recognition Software Segment by Type
1.2.2 Emotion Recognition Software Segment by Application
1.3 Methodology & Sources of Information
1.3.1 Research Methodology
1.3.2 Research Process
1.3.3 Market Breakdown and Data Triangulation
1.3.4 Base Year
1.3.5 Report Assumptions & Caveats
2 Emotion Recognition Software Market Overview
2.1 Global Market Overview
2.2 Market Segment Executive Summary
2.3 Global Market Size by Region
3 Emotion Recognition Software Market Competitive Landscape
3.1 Global Emotion Recognition Software Revenue Market Share by Company (2019-2024)
3.2 Emotion Recognition Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Company Emotion Recognition Software Market Size Sites, Area Served, Product Type
3.4 Emotion Recognition Software Market Competitive Situation and Trends
3.4.1 Emotion Recognition Software Market Concentration Rate
3.4.2 Global 5 and 10 Largest Emotion Recognition Software Players Market Share by Revenue
3.4.3 Mergers & Acquisitions, Expansion
4 Emotion Recognition Software Value Chain Analysis
4.1 Emotion Recognition Software Value Chain Analysis
4.2 Midstream Market Analysis
4.3 Downstream Customer Analysis
5 The Development and Dynamics of Emotion Recognition Software Market
5.1 Key Development Trends
5.2 Driving Factors
5.3 Market Challenges
5.4 Market Restraints
5.5 Industry News
5.5.1 Mergers & Acquisitions
5.5.2 Expansions
5.5.3 Collaboration/Supply Contracts
5.6 Industry Policies
6 Emotion Recognition Software Market Segmentation by Type
6.1 Evaluation Matrix of Segment Market Development Potential (Type)
6.2 Global Emotion Recognition Software Market Size Market Share by Type (2019-2024)
6.3 Global Emotion Recognition Software Market Size Growth Rate by Type (2019-2024)
7 Emotion Recognition Software Market Segmentation by Application
7.1 Evaluation Matrix of Segment Market Development Potential (Application)
7.2 Global Emotion Recognition Software Market Size (M USD) by Application (2019-2024)
7.3 Global Emotion Recognition Software Market Size Growth Rate by Application (2019-2024)
8 Emotion Recognition Software Market Segmentation by Region
8.1 Global Emotion Recognition Software Market Size by Region
8.1.1 Global Emotion Recognition Software Market Size by Region
8.1.2 Global Emotion Recognition Software Market Size Market Share by Region
8.2 North America
8.2.1 North America Emotion Recognition Software Market Size by Country
8.2.2 U.S.
8.2.3 Canada
8.2.4 Mexico
8.3 Europe
8.3.1 Europe Emotion Recognition Software Market Size by Country
8.3.2 Germany
8.3.3 France
8.3.4 U.K.
8.3.5 Italy
8.3.6 Russia
8.4 Asia Pacific
8.4.1 Asia Pacific Emotion Recognition Software Market Size by Region
8.4.2 China
8.4.3 Japan
8.4.4 South Korea
8.4.5 India
8.4.6 Southeast Asia
8.5 South America
8.5.1 South America Emotion Recognition Software Market Size by Country
8.5.2 Brazil
8.5.3 Argentina
8.5.4 Columbia
8.6 Middle East and Africa
8.6.1 Middle East and Africa Emotion Recognition Software Market Size by Region
8.6.2 Saudi Arabia
8.6.3 UAE
8.6.4 Egypt
8.6.5 Nigeria
8.6.6 South Africa
9 Key Companies Profile
9.1 FaceReader
9.1.1 FaceReader Emotion Recognition Software Basic Information
9.1.2 FaceReader Emotion Recognition Software Product Overview
9.1.3 FaceReader Emotion Recognition Software Product Market Performance
9.1.4 FaceReader Emotion Recognition Software SWOT Analysis
9.1.5 FaceReader Business Overview
9.1.6 FaceReader Recent Developments
9.2 Behavioral Signals
9.2.1 Behavioral Signals Emotion Recognition Software Basic Information
9.2.2 Behavioral Signals Emotion Recognition Software Product Overview
9.2.3 Behavioral Signals Emotion Recognition Software Product Market Performance
9.2.4 FaceReader Emotion Recognition Software SWOT Analysis
9.2.5 Behavioral Signals Business Overview
9.2.6 Behavioral Signals Recent Developments
9.3 IBM
9.3.1 IBM Emotion Recognition Software Basic Information
9.3.2 IBM Emotion Recognition Software Product Overview
9.3.3 IBM Emotion Recognition Software Product Market Performance
9.3.4 FaceReader Emotion Recognition Software SWOT Analysis
9.3.5 IBM Business Overview
9.3.6 IBM Recent Developments
9.4 SkyBiometry
9.4.1 SkyBiometry Emotion Recognition Software Basic Information
9.4.2 SkyBiometry Emotion Recognition Software Product Overview
9.4.3 SkyBiometry Emotion Recognition Software Product Market Performance
9.4.4 SkyBiometry Business Overview
9.4.5 SkyBiometry Recent Developments
9.5 Megvii
9.5.1 Megvii Emotion Recognition Software Basic Information
9.5.2 Megvii Emotion Recognition Software Product Overview
9.5.3 Megvii Emotion Recognition Software Product Market Performance
9.5.4 Megvii Business Overview
9.5.5 Megvii Recent Developments
9.6 Kairos
9.6.1 Kairos Emotion Recognition Software Basic Information
9.6.2 Kairos Emotion Recognition Software Product Overview
9.6.3 Kairos Emotion Recognition Software Product Market Performance
9.6.4 Kairos Business Overview
9.6.5 Kairos Recent Developments
9.7 Luxand
9.7.1 Luxand Emotion Recognition Software Basic Information
9.7.2 Luxand Emotion Recognition Software Product Overview
9.7.3 Luxand Emotion Recognition Software Product Market Performance
9.7.4 Luxand Business Overview
9.7.5 Luxand Recent Developments
9.8 Microsoft
9.8.1 Microsoft Emotion Recognition Software Basic Information
9.8.2 Microsoft Emotion Recognition Software Product Overview
9.8.3 Microsoft Emotion Recognition Software Product Market Performance
9.8.4 Microsoft Business Overview
9.8.5 Microsoft Recent Developments
9.9 Cynny
9.9.1 Cynny Emotion Recognition Software Basic Information
9.9.2 Cynny Emotion Recognition Software Product Overview
9.9.3 Cynny Emotion Recognition Software Product Market Performance
9.9.4 Cynny Business Overview
9.9.5 Cynny Recent Developments
9.10 NtechLab
9.10.1 NtechLab Emotion Recognition Software Basic Information
9.10.2 NtechLab Emotion Recognition Software Product Overview
9.10.3 NtechLab Emotion Recognition Software Product Market Performance
9.10.4 NtechLab Business Overview
9.10.5 NtechLab Recent Developments
9.11 Emozo Labs
9.11.1 Emozo Labs Emotion Recognition Software Basic Information
9.11.2 Emozo Labs Emotion Recognition Software Product Overview
9.11.3 Emozo Labs Emotion Recognition Software Product Market Performance
9.11.4 Emozo Labs Business Overview
9.11.5 Emozo Labs Recent Developments
9.12 CoolTool
9.12.1 CoolTool Emotion Recognition Software Basic Information
9.12.2 CoolTool Emotion Recognition Software Product Overview
9.12.3 CoolTool Emotion Recognition Software Product Market Performance
9.12.4 CoolTool Business Overview
9.12.5 CoolTool Recent Developments
9.13 Amazon
9.13.1 Amazon Emotion Recognition Software Basic Information
9.13.2 Amazon Emotion Recognition Software Product Overview
9.13.3 Amazon Emotion Recognition Software Product Market Performance
9.13.4 Amazon Business Overview
9.13.5 Amazon Recent Developments
9.14 iMotions
9.14.1 iMotions Emotion Recognition Software Basic Information
9.14.2 iMotions Emotion Recognition Software Product Overview
9.14.3 iMotions Emotion Recognition Software Product Market Performance
9.14.4 iMotions Business Overview
9.14.5 iMotions Recent Developments
9.15 Element Human
9.15.1 Element Human Emotion Recognition Software Basic Information
9.15.2 Element Human Emotion Recognition Software Product Overview
9.15.3 Element Human Emotion Recognition Software Product Market Performance
9.15.4 Element Human Business Overview
9.15.5 Element Human Recent Developments
9.16 Good Vibrations Company
9.16.1 Good Vibrations Company Emotion Recognition Software Basic Information
9.16.2 Good Vibrations Company Emotion Recognition Software Product Overview
9.16.3 Good Vibrations Company Emotion Recognition Software Product Market Performance
9.16.4 Good Vibrations Company Business Overview
9.16.5 Good Vibrations Company Recent Developments
9.17 EyeSee
9.17.1 EyeSee Emotion Recognition Software Basic Information
9.17.2 EyeSee Emotion Recognition Software Product Overview
9.17.3 EyeSee Emotion Recognition Software Product Market Performance
9.17.4 EyeSee Business Overview
9.17.5 EyeSee Recent Developments
9.18 AdMobilize
9.18.1 AdMobilize Emotion Recognition Software Basic Information
9.18.2 AdMobilize Emotion Recognition Software Product Overview
9.18.3 AdMobilize Emotion Recognition Software Product Market Performance
9.18.4 AdMobilize Business Overview
9.18.5 AdMobilize Recent Developments
9.19 Resonate
9.19.1 Resonate Emotion Recognition Software Basic Information
9.19.2 Resonate Emotion Recognition Software Product Overview
9.19.3 Resonate Emotion Recognition Software Product Market Performance
9.19.4 Resonate Business Overview
9.19.5 Resonate Recent Developments
9.20 Google
9.20.1 Google Emotion Recognition Software Basic Information
9.20.2 Google Emotion Recognition Software Product Overview
9.20.3 Google Emotion Recognition Software Product Market Performance
9.20.4 Google Business Overview
9.20.5 Google Recent Developments
9.21 Sightcorp
9.21.1 Sightcorp Emotion Recognition Software Basic Information
9.21.2 Sightcorp Emotion Recognition Software Product Overview
9.21.3 Sightcorp Emotion Recognition Software Product Market Performance
9.21.4 Sightcorp Business Overview
9.21.5 Sightcorp Recent Developments
9.22 Tobii Pro
9.22.1 Tobii Pro Emotion Recognition Software Basic Information
9.22.2 Tobii Pro Emotion Recognition Software Product Overview
9.22.3 Tobii Pro Emotion Recognition Software Product Market Performance
9.22.4 Tobii Pro Business Overview
9.22.5 Tobii Pro Recent Developments
9.23 Affect Lab
9.23.1 Affect Lab Emotion Recognition Software Basic Information
9.23.2 Affect Lab Emotion Recognition Software Product Overview
9.23.3 Affect Lab Emotion Recognition Software Product Market Performance
9.23.4 Affect Lab Business Overview
9.23.5 Affect Lab Recent Developments
9.24 EyeRecognize
9.24.1 EyeRecognize Emotion Recognition Software Basic Information
9.24.2 EyeRecognize Emotion Recognition Software Product Overview
9.24.3 EyeRecognize Emotion Recognition Software Product Market Performance
9.24.4 EyeRecognize Business Overview
9.24.5 EyeRecognize Recent Developments
9.25 Betaface
9.25.1 Betaface Emotion Recognition Software Basic Information
9.25.2 Betaface Emotion Recognition Software Product Overview
9.25.3 Betaface Emotion Recognition Software Product Market Performance
9.25.4 Betaface Business Overview
9.25.5 Betaface Recent Developments
9.26 Affectiva
9.26.1 Affectiva Emotion Recognition Software Basic Information
9.26.2 Affectiva Emotion Recognition Software Product Overview
9.26.3 Affectiva Emotion Recognition Software Product Market Performance
9.26.4 Affectiva Business Overview
9.26.5 Affectiva Recent Developments
9.27 Noldus Information Technology
9.27.1 Noldus Information Technology Emotion Recognition Software Basic Information
9.27.2 Noldus Information Technology Emotion Recognition Software Product Overview
9.27.3 Noldus Information Technology Emotion Recognition Software Product Market Performance
9.27.4 Noldus Information Technology Business Overview
9.27.5 Noldus Information Technology Recent Developments
9.28 Beyond Verbal
9.28.1 Beyond Verbal Emotion Recognition Software Basic Information
9.28.2 Beyond Verbal Emotion Recognition Software Product Overview
9.28.3 Beyond Verbal Emotion Recognition Software Product Market Performance
9.28.4 Beyond Verbal Business Overview
9.28.5 Beyond Verbal Recent Developments
9.29 Realeyes
9.29.1 Realeyes Emotion Recognition Software Basic Information
9.29.2 Realeyes Emotion Recognition Software Product Overview
9.29.3 Realeyes Emotion Recognition Software Product Market Performance
9.29.4 Realeyes Business Overview
9.29.5 Realeyes Recent Developments
9.30 EmoVu
9.30.1 EmoVu Emotion Recognition Software Basic Information
9.30.2 EmoVu Emotion Recognition Software Product Overview
9.30.3 EmoVu Emotion Recognition Software Product Market Performance
9.30.4 EmoVu Business Overview
9.30.5 EmoVu Recent Developments
10 Emotion Recognition Software Regional Market Forecast
10.1 Global Emotion Recognition Software Market Size Forecast
10.2 Global Emotion Recognition Software Market Forecast by Region
10.2.1 North America Market Size Forecast by Country
10.2.2 Europe Emotion Recognition Software Market Size Forecast by Country
10.2.3 Asia Pacific Emotion Recognition Software Market Size Forecast by Region
10.2.4 South America Emotion Recognition Software Market Size Forecast by Country
10.2.5 Middle East and Africa Forecasted Consumption of Emotion Recognition Software by Country
11 Forecast Market by Type and by Application (2025-2030)
11.1 Global Emotion Recognition Software Market Forecast by Type (2025-2030)
11.2 Global Emotion Recognition Software Market Forecast by Application (2025-2030)
12 Conclusion and Key Findings

Download our eBook: How to Succeed Using Market Research

Learn how to effectively navigate the market research process to help guide your organization on the journey to success.

Download eBook
Cookie Settings