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Facial Emotion Recognition (FER) Market, Global Outlook and Forecast 2024-2030

Facial Emotion Recognition (FER) Market, Global Outlook and Forecast 2024-2030

  • Published on : 20 June 2024
  • Pages :108
  • Report Code:SMR-7962612

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Report overview

The global Facial Emotion Recognition (FER) market was valued at US$ 2.4 billion in 2023 and is predicted to reach US$ 5.8 billion by 2030, exhibiting a Compound Annual Growth Rate (CAGR) of 14.6% during the forecast period (2023-2030).

The U.S. Market is Estimated at $ Million in 2023, While China is to reach $ Million.
Online Segment to Reach $ Million by 2030, with a % CAGR in next six years.
The global key manufacturers of Facial Emotion Recognition (FER) include Pushpak AI, Cameralyze, MorphCast, Imotions, OpenCV, Py-Feat, NEC Global, Sony Depthsense and Beyond Verbal, etc. in 2023, the global top five players have a share approximately % in terms of revenue.
This report aims to provide a comprehensive presentation of the global market for Facial Emotion Recognition (FER), with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Facial Emotion Recognition (FER). This report contains market size and forecasts of Facial Emotion Recognition (FER) in global, including the following market information:
Global Facial Emotion Recognition (FER) Market Revenue, 2019-2024, 2025-2030, ($ millions)
Global top five companies in 2023 (%)
We has surveyed the Facial Emotion Recognition (FER) companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Facial Emotion Recognition (FER) Market, by Type, 2019-2024, 2025-2030 ($ millions)
Global Facial Emotion Recognition (FER) Market Segment Percentages, by Type, 2023 (%)

  • Online
  • Offline

Global Facial Emotion Recognition (FER) Market, by Application, 2019-2024, 2025-2030 ($ millions)
Global Facial Emotion Recognition (FER) Market Segment Percentages, by Application, 2023 (%)

  • Government
  • Retail
  • Healthcare
  • Entertainment

Global Facial Emotion Recognition (FER) Market, By Region and Country, 2019-2024, 2025-2030 ($ Millions)
Global Facial Emotion Recognition (FER) Market Segment Percentages, By Region and Country, 2023 (%)

  • North America (United States, Canada, Mexico)
  • Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe)
  • Asia-Pacific (China, India, Japan, South Korea, Australia, Rest of APAC)
  • The Middle East and Africa (Middle East, Africa)
  • South and Central America (Brazil, Argentina, Rest of SCA)

Competitor Analysis
The report also provides analysis of leading market participants including:

  • Key companies Facial Emotion Recognition (FER) revenues in global market, 2019-2024 (estimated), ($ millions)
  • Key companies Facial Emotion Recognition (FER) revenues share in global market, 2023 (%)

Further, the report presents profiles of competitors in the market, key players include:

  • Pushpak AI
  • Cameralyze
  • MorphCast
  • Imotions
  • OpenCV
  • Py-Feat
  • NEC Global
  • Sony Depthsense
  • Beyond Verbal
  • Ayonix
  • Elliptic Labs
  • Eyeris
  • Crowd Emotion
  • Sentiance
  • PointGrab
  • nViso

Outline of Major Chapters:
Chapter 1: Introduces the definition of Facial Emotion Recognition (FER), market overview.
Chapter 2: Global Facial Emotion Recognition (FER) market size in revenue.
Chapter 3: Detailed analysis of Facial Emotion Recognition (FER) company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by 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 6: Sales of Facial Emotion Recognition (FER) in regional level and country level. It 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 of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.