The Artificial Intelligence (AI)-Emotion Recognition Market is estimated reach US$ 2301.3 Million in 2027 growing at a CAGR of ~12.6% during the forecast period.
The outbreak of COVID-19 is the key factor triggering the growth of global market. COVID-19 is affecting individuals around the world resulting in demand for advance & digital technologies with well-built network. However, the global Artificial Intelligence (AI)-Emotion Recognition market is heading an exponential growth and projected to regain enormously in the post-pandemic world.
The Artificial Intelligence (AI)-Emotion Recognition market is bifurcated into technology type, end-user, industry vertical and region. On the basis of technology, the global market is segmented as Facial Emotion Recognition and Speech Emotion Recognition. North America is estimated to hold the largest market share in the Artificial Intelligence (AI)-Emotion Recognition market during the forecast period, followed by the European region. The growth of connected devices & wireless connectivity and rising use of IoT-enabled devices had raised the demand for the new technology in the region.
The research covers the current and historic Artificial Intelligence (AI)-Emotion Recognition market size and its growth trend with company outline of Key players/manufacturers: Apple Inc., Affectiva Inc., Microsoft Corporation, The International Business Machines Corporation, Beyond Verbal, CloudWalk Technology, CrowdEmotion, iFlytek, INTRAface, Kairos, Kairos AR, Inc., Noldus, nViso Sarl, Realeyes OU, Sight Corp., SoftBank Group, and Tobii AB among others.
The Artificial Intelligence (AI)-Emotion Recognition market research report provides an in-depth overview of the industry including market segmentation by technology type, end-user, industry vertical and region. Analysis of the global market with special focus on high growth application in each vertical and fast-growing market segments. It includes detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and top players rankings. Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes. Competitive intelligence from the company profiles, key player strategies, game-changing developments such as product launches and acquisitions.
The objective of this study is to identify the market opportunities and estimate market size by segments and countries for last few years and to forecast the values to the next five years. The report incorporates both the qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. The report also covers qualitative analysis on the market, by incorporating complete pricing and cost analysis, Porter’s analysis and PEST (Political, Economic, Social & Technological factor) analysis of the market. The report also profiles all major companies active in this field.
Market Analysis and Insights: Artificial Intelligence (AI)-Emotion Recognition Market Analysis & Insights
Artificial Intelligence (AI)-Emotion Recognition Market Scope and Market Size
Artificial Intelligence (AI)-Emotion Recognition market is segmented by region and further by countries, application, service type, deployment and industry vertical. Players, stakeholders, and other participants in the global Artificial Intelligence (AI)-Emotion Recognition market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue and forecast for the period 2016-2026.
Report further studies the market development status and future and Artificial Intelligence (AI)-Emotion Recognition Market trend across the world. Also, it splits Artificial Intelligence (AI)-Emotion Recognition market segmentation by technology type, end-user, industry vertical and region to deep dive research and reveals market profile and prospects.
Major Classifications are as follows:
By Technology
- Facial Emotion Recognition
- Speech Emotion Recognition
By End-User
- Education
- Medical Care
- Wisdom Center
By Industry Vertical
- Entertainment
- Government
- Healthcare
- Retail
- Transportation
- Others
Reason to purchase this report:
- Determine prospective investment areas based on a detailed trend analysis of the global market over the next years.
- Gain an in-depth understanding of the underlying factors driving demand for different and market segments in the top spending countries across the world and identify the opportunities offered by each of them.
- Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
- Identify the major channels that are driving the global market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
- Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global market.
- Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top market providers around the world which include information about their products, alliances, recent contract wins and financial analysis wherever available.
Table of Contents:
- EXECUTIVE SUMMARY
- INTRODUCTION
- Key Takeaways
- Report Description
- Market Scope & Definition
- Stakeholders
- Research Methodology
- Market Size
- Key Data Points From Primary Sources
- Key Data Points From Secondary Sources
- List Of Primary Sources
- List Of Secondary Sources
- MARKET OVERVIEW
- Industry Segmentation
- Principles of Measuring Emotions
- Major Funding & Investments
- Attractive Market Opportunities in the Emotion Detection and Recognition Market
- Market Dynamics
- Drivers
- Restraints
- Value Chain Analysis
- Pricing Analysis
- IMPACT OF COVID-19 ON Artificial Intelligence (AI)-Emotion Recognition Market
- Impact of Covid-19 On Artificial Intelligence (AI)-Emotion Recognition Market, By Technology
- Impact Of Covid-19 On Artificial Intelligence (AI)-Emotion Recognition Market, By End-User
- Impact Of Covid-19 On Artificial Intelligence (AI)-Emotion Recognition Market, By Industry Vertical
- Impact of Covid-19 On Artificial Intelligence (AI)-Emotion Recognition Market, By Region
- By Technology
- Introduction
- Facial Emotion Recognition
- Speech Emotion Recognition
- By End-User
- Introduction
- Education
- Medical Care
- Wisdom Center
- By Industry
- Introduction
- Entertainment
- Government
- Healthcare
- Retail
- Transportation
- By Geography
- North America
- U.S.
- Canada
- Europe
- Germany
- U.K.
- France
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- Rest Of Asia Pacific
- Rest of the World
- Middle East
- Africa
- North America
- COMPETITIVE ANALYSIS
- Introduction
- Top Companies Ranking
- Market Share Analysis
- Recent Developments
- New Product Launch
- Mergers & Acquisitions
- Collaborations, Partnerships & Agreements
- Rewards & Recognition
- COMPANY PROFILES
- Affectiva Inc.
- Apple Inc.
- Beyond Verbal
- CloudWalk Technology
- CrowdEmotion
- iFlytek
- INTRAface
- Kairos
- Microsoft Corporation
- Noldus
- nViso Sarl
- Realeyes OU
- Sight Corp.
- SoftBank Group
- The International Business Machines Corporation
- Tobii AB
