▶ 調査レポート

感情検出&認識のグローバル市場(~2027):バイオセンサー技術、特徴抽出&3Dモデリング、機械学習(ML)、自然学習処理(NLP)

• 英文タイトル:Emotion Detection & Recognition Market Research Report by Technology, Component, Application, Verticals, Region - Global Forecast to 2027 - Cumulative Impact of COVID-19

Emotion Detection & Recognition Market Research Report by Technology, Component, Application, Verticals, Region - Global Forecast to 2027 - Cumulative Impact of COVID-19「感情検出&認識のグローバル市場(~2027):バイオセンサー技術、特徴抽出&3Dモデリング、機械学習(ML)、自然学習処理(NLP)」(市場規模、市場予測)調査レポートです。• レポートコード:MRC2305C055
• 出版社/出版日:360iResearch / 2022年10月
• レポート形態:英語、PDF、257ページ
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レポート概要
360iResearch社は、世界の感情検出&認識市場規模が2021年に191.8億ドル、2022年に217.1億ドルとなり、更に年平均13.32%成長して2027年には406.5億ドルに達すると予測しています。当市場調査レポートでは、感情検出&認識の世界市場を総合的に分析し、序論、調査方法、エグゼクティブサマリー、市場概要、市場インサイト、技術別分析(バイオセンサー技術、特徴抽出&3Dモデリング、機械学習(ML)、自然学習処理(NLP))、コンポーネント別分析(サービス、ソフトウェア)、用途別分析(エンターテイメント・家電、法執行・監視・モニタリング、マーケティング・広告、救急医療)、産業別分析(学術&研究、自動車、金融、医療&社会支援、IT&ITES)、地域別分析(南北アメリカ、アメリカ、カナダ、ブラジル、アジア太平洋、日本、中国、インド、韓国、台湾、ヨーロッパ/中東/アフリカ、イギリス、ドイツ、フランス、ロシア、その他)、競争状況、企業情報などの内容を掲載しています。なお、当書には、Affectiva、Apple、Ayonix、Beyond Verbal、Cognitec Systems、Crowdemotion、Elliptic Labs、Eyeris、Eyesight Technologies、Gesturetek、Google、IBM、Imotions、Intel、Kairosなどの企業情報が含まれています。

・序論
・調査方法
・エグゼクティブサマリー
・市場概要
・市場インサイト
・世界の感情検出&認識市場規模:技術別
- バイオセンサー技術の市場規模
- 特徴抽出&3Dモデリングの市場規模
- 機械学習(ML)の市場規模
- 自然学習処理(NLP)の市場規模
・世界の感情検出&認識市場規模:コンポーネント別
- サービスの市場規模
- ソフトウェアの市場規模
・世界の感情検出&認識市場規模:用途別
- エンターテイメント・家電における市場規模
- 法執行・監視・モニタリングにおける市場規模
- マーケティング・広告における市場規模
- 救急医療における市場規模
・世界の感情検出&認識市場規模:産業別
- 学術&研究における市場規模
- 自動車における市場規模
- 金融における市場規模
- 医療&社会支援における市場規模
- IT&ITESにおける市場規模
・世界の感情検出&認識市場規模:地域別
- 南北アメリカの感情検出&認識市場規模
アメリカの感情検出&認識市場規模
カナダの感情検出&認識市場規模
ブラジルの感情検出&認識市場規模
...
- アジア太平洋の感情検出&認識市場規模
日本の感情検出&認識市場規模
中国の感情検出&認識市場規模
インドの感情検出&認識市場規模
韓国の感情検出&認識市場規模
台湾の感情検出&認識市場規模
...
- ヨーロッパ/中東/アフリカの感情検出&認識市場規模
イギリスの感情検出&認識市場規模
ドイツの感情検出&認識市場規模
フランスの感情検出&認識市場規模
ロシアの感情検出&認識市場規模
...
- その他地域の感情検出&認識市場規模
・競争状況
・企業情報

The Global Emotion Detection & Recognition Market size was estimated at USD 19.18 billion in 2021 and expected to reach USD 21.71 billion in 2022, and is projected to grow at a CAGR 13.32% to reach USD 40.65 billion by 2027.

Market Statistics:
The report provides market sizing and forecast across 7 major currencies – USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.

Market Segmentation & Coverage:
This research report categorizes the Emotion Detection & Recognition to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Technology, the market was studied across Biosensors Technology, Feature Extraction and 3D Modelling, Machine Learning (ML), and Natural Learning Processing (NLP).

Based on Component, the market was studied across Services and Software. The Software is further studied across Biosensing Solution, Facial Expression Recognition, Gesture and Posture Recognition, and Speech and Voice Recognition.

Based on Application, the market was studied across Entertainment and Consumer Electronics, Law Enforcement, Surveillance, and Monitoring, Marketing and Advertising, and Medical Emergency.

Based on Verticals, the market was studied across Academia & Research, Automotive, BFSI, Healthcare & Social Assistance, IT & ITES, Media & Entertainment, Retail & eCommerce, and Telecommunications.

Based on Region, the market was 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.

Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.

Cumulative Impact of 2022 Russia Ukraine Conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for Emotion Detection & Recognition market considering the current update on the conflict and its global response.

Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Emotion Detection & Recognition Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario:
The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.

Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Emotion Detection & Recognition Market, including Affectiva, Apple, Ayonix, Beyond Verbal, Cognitec Systems, Crowdemotion, Elliptic Labs, Eyeris, Eyesight Technologies, Gesturetek, Google, IBM, Imotions, Intel, Kairos, Microsoft, NEC, Noldus Information Technology, Numenta, Nviso, Pointgrab, Pyreos, Sentiance, Sightcorp, Sony Depthsensing Solutions, and Tobii.

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 analyze 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 Global Emotion Detection & Recognition Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Emotion Detection & Recognition Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Emotion Detection & Recognition Market?
4. What is the competitive strategic window for opportunities in the Global Emotion Detection & Recognition Market?
5. What are the technology trends and regulatory frameworks in the Global Emotion Detection & Recognition Market?
6. What is the market share of the leading vendors in the Global Emotion Detection & Recognition Market?
7. What modes and strategic moves are considered suitable for entering the Global Emotion Detection & Recognition Market?

レポート目次

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders

2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Wide use of technology in smartphones
5.1.1.2. Rising adoption in recruitment solutions or tools
5.1.1.3. Emotion sensing technology in IoT
5.1.2. Restraints
5.1.2.1. High cost incurred in manufacturing emotion detection and recognition systems
5.1.2.2. Misred of emotion detection
5.1.3. Opportunities
5.1.3.1. The emerging trend of wearable devices
5.1.3.2. Advancement in emotion recognition, with regard to the human–robot interaction
5.1.4. Challenges
5.1.4.1. Possibilities of misinterpretation of emotion as some software relies on outdated psychological theories
5.2. Cumulative Impact of COVID-19

6. Emotion Detection & Recognition Market, by Technology
6.1. Introduction
6.2. Biosensors Technology
6.3. Feature Extraction and 3D Modelling
6.4. Machine Learning (ML)
6.5. Natural Learning Processing (NLP)

7. Emotion Detection & Recognition Market, by Component
7.1. Introduction
7.2. Services
7.3. Software
7.4.1. Biosensing Solution
7.4.2. Facial Expression Recognition
7.4.3. Gesture and Posture Recognition
7.4.4. Speech and Voice Recognition

8. Emotion Detection & Recognition Market, by Application
8.1. Introduction
8.2. Entertainment and Consumer Electronics
8.3. Law Enforcement, Surveillance, and Monitoring
8.4. Marketing and Advertising
8.5. Medical Emergency

9. Emotion Detection & Recognition Market, by Verticals
9.1. Introduction
9.2. Academia & Research
9.3. Automotive
9.4. BFSI
9.5. Healthcare & Social Assistance
9.6. IT & ITES
9.7. Media & Entertainment
9.8. Retail & eCommerce
9.9. Telecommunications

10. Americas Emotion Detection & Recognition Market
10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States

11. Asia-Pacific Emotion Detection & Recognition Market
11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam

12. Europe, Middle East & Africa Emotion Detection & Recognition Market
12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom

13. Competitive Landscape
13.1. FPNV Positioning Matrix
13.1.1. Quadrants
13.1.2. Business Strategy
13.1.3. Product Satisfaction
13.2. Market Ranking Analysis, By Key Player
13.3. Market Share Analysis, By Key Player
13.4. Competitive Scenario
13.4.1. Merger & Acquisition
13.4.2. Agreement, Collaboration, & Partnership
13.4.3. New Product Launch & Enhancement
13.4.4. Investment & Funding
13.4.5. Award, Recognition, & Expansion

14. Company Usability Profiles
14.1. Affectiva
14.1.1. Business Overview
14.1.2. Key Executives
14.1.3. Product & Services
14.2. Apple
14.2.1. Business Overview
14.2.2. Key Executives
14.2.3. Product & Services
14.3. Ayonix
14.3.1. Business Overview
14.3.2. Key Executives
14.3.3. Product & Services
14.4. Beyond Verbal
14.4.1. Business Overview
14.4.2. Key Executives
14.4.3. Product & Services
14.5. Cognitec Systems
14.5.1. Business Overview
14.5.2. Key Executives
14.5.3. Product & Services
14.6. Crowdemotion
14.6.1. Business Overview
14.6.2. Key Executives
14.6.3. Product & Services
14.7. Elliptic Labs
14.7.1. Business Overview
14.7.2. Key Executives
14.7.3. Product & Services
14.8. Eyeris
14.8.1. Business Overview
14.8.2. Key Executives
14.8.3. Product & Services
14.9. Eyesight Technologies
14.9.1. Business Overview
14.9.2. Key Executives
14.9.3. Product & Services
14.10. Gesturetek
14.10.1. Business Overview
14.10.2. Key Executives
14.10.3. Product & Services
14.11. Google
14.11.1. Business Overview
14.11.2. Key Executives
14.11.3. Product & Services
14.12. IBM
14.12.1. Business Overview
14.12.2. Key Executives
14.12.3. Product & Services
14.13. Imotions
14.13.1. Business Overview
14.13.2. Key Executives
14.13.3. Product & Services
14.14. Intel
14.14.1. Business Overview
14.14.2. Key Executives
14.14.3. Product & Services
14.15. Kairos
14.15.1. Business Overview
14.15.2. Key Executives
14.15.3. Product & Services
14.16. Microsoft
14.16.1. Business Overview
14.16.2. Key Executives
14.16.3. Product & Services
14.17. NEC
14.17.1. Business Overview
14.17.2. Key Executives
14.17.3. Product & Services
14.18. Noldus Information Technology
14.18.1. Business Overview
14.18.2. Key Executives
14.18.3. Product & Services
14.19. Numenta
14.19.1. Business Overview
14.19.2. Key Executives
14.19.3. Product & Services
14.20. Nviso
14.20.1. Business Overview
14.20.2. Key Executives
14.20.3. Product & Services
14.21. Pointgrab
14.21.1. Business Overview
14.21.2. Key Executives
14.21.3. Product & Services
14.22. Pyreos
14.22.1. Business Overview
14.22.2. Key Executives
14.22.3. Product & Services
14.23. Sentiance
14.23.1. Business Overview
14.23.2. Key Executives
14.23.3. Product & Services
14.24. Sightcorp
14.24.1. Business Overview
14.24.2. Key Executives
14.24.3. Product & Services
14.25. Sony Depthsensing Solutions
14.25.1. Business Overview
14.25.2. Key Executives
14.25.3. Product & Services
14.26. Tobii
14.26.1. Business Overview
14.26.2. Key Executives
14.26.3. Product & Services

15. Appendix
15.1. Discussion Guide
15.2. License & Pricing