Press release
Artificial Intelligence in Emotion Detection & Recognition Market worth $3.56 billion by 2030, growing at a CAGR of 13.62% - Exclusive Report by 360iResearch
The "Artificial Intelligence in Emotion Detection & Recognition Market by Type (Facial Emotion Recognition, Speech Emotion Recognition), End-Use (Education, Medical Care, Wisdom Center), Vertical - Global Forecast 2023-2030" report has been added to 360iResearch.com's offering.Request Sample Copy of this Report @ https://www.360iresearch.com/library/intelligence/artificial-intelligence-in-emotion-detection-recognition?utm_source=openpr&utm_medium=referral&utm_campaign=sample
Market Segmentation & Coverage:
This research report categorizes the Artificial Intelligence in Emotion Detection & Recognition Market in order to forecast the revenues and analyze trends in each of following sub-markets:
Based on Type, market is studied across Facial Emotion Recognition and Speech Emotion Recognition. The Facial Emotion Recognition is projected to witness significant market share during forecast period.
Based on End-Use, market is studied across Education, Medical Care, and Wisdom Center. The Medical Care is projected to witness significant market share during forecast period.
Based on Vertical, market is studied across Entertainment, Government, Healthcare, Retail, and Transportation. The Entertainment is projected to witness significant market share during forecast period.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 38.74% in 2022, followed by Europe, Middle East & Africa.
FPNV Positioning Matrix:
The FPNV Positioning Matrix is essential for assessing the Artificial Intelligence in Emotion Detection & Recognition Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).
Market Share Analysis:
The Market Share Analysis offers an insightful look at the current state of vendors in the Artificial Intelligence in Emotion Detection & Recognition Market. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.
Key Company Profiles:
The report delves into recent significant developments in the Artificial Intelligence in Emotion Detection & Recognition Market, highlighting leading vendors and their innovative profiles. These include Affectiva Inc., Apple Inc., AuthenticID, Inc., CloudWalk Technology Co. Ltd., Genpact, Google, LLC by Alphabet Inc., iFLYTEK Co., Ltd., International Business Machines Corporation, Kairos AR, Inc., Microsoft Corporation, Noldus Information Technology BV, Nviso SA, Raydiant Inc., Realeyes OU, and Tobii AB.
Key Topics Covered:
1. Preface
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
6. Artificial Intelligence in Emotion Detection & Recognition Market, by Type
7. Artificial Intelligence in Emotion Detection & Recognition Market, by End-Use
8. Artificial Intelligence in Emotion Detection & Recognition Market, by Vertical
9. Americas Artificial Intelligence in Emotion Detection & Recognition Market
10. Asia-Pacific Artificial Intelligence in Emotion Detection & Recognition Market
11. Europe, Middle East & Africa Artificial Intelligence in Emotion Detection & Recognition Market
12. Competitive Landscape
13. Competitive Portfolio
14. Appendix
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:
1. What is the market size and forecast of the Artificial Intelligence in Emotion Detection & Recognition Market?
2. Which are the products/segments/applications/areas to invest in over the forecast period in the Artificial Intelligence in Emotion Detection & Recognition Market?
3. What is the competitive strategic window for opportunities in the Artificial Intelligence in Emotion Detection & Recognition Market?
4. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Emotion Detection & Recognition Market?
5. What is the market share of the leading vendors in the Artificial Intelligence in Emotion Detection & Recognition Market?
6. What modes and strategic moves are considered suitable for entering the Artificial Intelligence in Emotion Detection & Recognition Market?
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