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감정 분석 시장 : 성장, 동향, COVID-19의 영향, 예측(2021-2026년)

Emotion Analytics Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

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감정 분석 시장 : 성장, 동향, COVID-19의 영향, 예측(2021-2026년) Emotion Analytics Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)
발행일 : 2022년 01월 페이지 정보 : 영문

본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

세계의 감정 분석 시장 규모는 예측기간 중 10%의 CAGR로 성장할 것으로 예상됩니다. 인공지능(AI)은 디지털 변혁 물결을 가져왔습니다. 과거 10년간 이후 데이터로의 액세스 증가, 저비용 계산 능력, 진화하는 NLP 기능과 디지털 학습을 조합하여 시스템은 인간의 감정을 분석할 수 있게 되었습니다. 감정 검출과 인식이 주목을 끌 것으로 예상되는 주요 분야로 엔터테인먼트(주로 게임), 수송(자율주행차), 헬스케어(다양한 종류의 진단), 소매(고객 경험을 향상시키기 위해)가 있습니다.

  • 고객 경험 향상에 중점을 두어 기업은 소비자의 인사이트를 얻을 수 있도록 하는 테크놀러지에 대한 지출을 늘리게 됩니다. 시장의 이러한 개발은 감정 분석 등의 테크놀러지 수요를 증대시킬 것으로 기대되고 있습니다.
  • 자동차 산업은 향후 몇 년간 테크놀러지의 또 다른 주요 채용자가 될 것으로 예상됩니다. 자율주행차, ADAS 및 커넥티드카 출현에 의해 IoT와 센서 임베디드가 증가하고 있습니다. 자동차 벤더는 주로 안전을 위해 감정 분석을 결합시킬 것으로 기대되고 있습니다.
  • 또한 이 테크놀러지는 비디오 게임 기업으로부터 상당한 주목을 끌고 있습니다. 비디오 게임은 기업에 일련의 감정을 유발하도록 설계되고 있어 이러한 반응은 게임의 전체적인 즐거움에 필수적인 경우가 자주 있습니다. 개발자는 감정 검출을 사용자 경험에 통합하고, 시퀀싱을 실시간으로 조정 또는 미조정하고 있습니다. 이것은 또한 게이머에게 있어서 보다 몰입형 경험을 가져왔습니다
  • 또한 COVID-19에 의해 사회적 교류를 할 수 없기 때문에 대부분의 사람이 감정을 표현하기 위해서 소셜 미디어에 관심을 가지고 있습니다. 이것은 벤더가 자사 제품을 탐색할 기회를 제공합니다.

감정 분석(Emotion Analytics) 시장을 조사했으며, 시장 개요, 시장 성장 촉진요인 및 저해요인 분석, 종류별·지역별 시장 규모 추정과 예측, 경쟁 상황, 주요 기업 개요, 시장 기회 등의 정보를 제공합니다.

목차

제1장 서론

제2장 조사 방법

제3장 주요 요약

제4장 시장 인사이트

  • 시장 개요
  • Porter's Five Forces 분석
  • 시장 성장 촉진요인
    • 성장하는 IoT 애플리케이션과 웨어러블 디바이스 채용
    • 첨단 마케팅 툴 필요성 상승
  • 시장 성장 억제요인
    • 세계에서의 데이터 프라이버시 우려와 데이터 규제 채용
  • COVID-19의 업계에 대한 영향 평가

제5장 시장 세분화

  • 종류별
    • 페이스 분석
    • 비디오 분석
    • 음성 분석
    • 텍스트 분석
  • 전개별
    • 온프레미스
    • 클라우드
  • 용도별
    • 경쟁 정보
    • 판매 및 마케팅 관리
    • 공공안전과 법집행
    • 고객 경험 관리
    • 노동력 관리
  • 최종사용자별
    • 자동차
    • BFSI
    • 미디어 및 엔터테인먼트
    • 소매
    • 헬스케어
    • IT 및 통신
    • 기타 최종사용자 업종
  • 지역별
    • 북미
    • 유럽
    • 아시아태평양
    • 라틴아메리카
    • 중동과 아프리카

제6장 경쟁 상황

  • 기업 개요
    • IBM Corporation
    • RealEyes OU
    • Affectiva Inc.
    • Clarifai Inc.
    • Sensum Co.
    • Beyond Verbal
    • Noldus Information Technology(NIT)
    • Sentiance NV
    • Lexalytics Inc
    • Deloitte Touche Tohmatsu Ltd.
    • Gorilla Technology Group

제7장 투자 분석

제8장 시장 전망

KSM 21.02.25

The market for emotion analytics is expected to register a CAGR of 10% over the forecast period (2021 - 2026). Artificial intelligence (AI) has brought in a wave of digital transformation; the limitation of AI to understand human emotion remains a challenge. However, since the last decade, growing access to data, low-cost computing power, and evolving NLP capabilities, coupled with digital learning, have enabled systems to analyze emotions in humans. Key areas where emotion detection and recognition are expected to gain traction include entertainment (majorly gaming), transportation (autonomous cars), healthcare (various kinds of diagnostics), and retail (to enhance customer experience).

Key Highlights

  • The focus on customer experience enhancement is augmenting the spending on technologies that enable enterprises to gain consumer insights. According to Salesforce's consumer survey report, 84% of the customers mentioned that the company's experiences are as important to them as its services and products, and 62% of all customers were open to the use of AI to improve their experience. Such developments in the market are expected to augment the demand for technologies, such as emotion analytics.
  • Owing to this, various vendors in the market, such as RealEyes and IBM, are increasingly launching several forms of API that are related to emotion detection and analysis. Furthermore, the launch of multi-modal solutions, which include the integration of speech, text, and facial recognition. Also the increasing the role of muscle activity, brain activity, skin conductance, and heart rate monitoring to deliver better emotional intelligence of the human, significantly led to huge customer awareness about the technology.
  • The automotive industry is expected to be another major adopter of technology in the coming years. With the advent of autonomous cars, ADAS, and connected cars, the incorporation of IoT and sensors is on the rise; automotive vendors are expected to incorporate emotion analytics primarily for safety.
  • Additionally, the technology has gained a significant amount of focus from the video game companies. Video games are designed to induce a series of emotions in players, with these reactions often being essential for the overall enjoyment of the game. The developers are integrating emotion detection into the user experience to adjust or tweak sequences in real-time. This also resulted in a more immersive experience for gamers
  • Also, Amidst the COVID-19 situation, many people have shown signs of distress, as COVID-19 has taken an emotional toll. As a result, most of the population is turning to social media to express their feelings since they cannot do social interaction. This provides an opportunity for the vendors to explore their offerings. For instance, Expert System and Sociometrica use text analytics across social media to monitor the emotions and general sentiment of the people. Expert System's artificial intelligence technology extracts emotions of each published text, which are then analyzed and interpreted by Sociometrica.

Key Market Trends

to Hold a Significant Share in Emotion Analytics Market

  • The global demand for voice-based solutions is increasing significantly. With the advent of smartphones connected to speakers and home devices, the penetration of voice and speech analytics is growing significantly. For example, according to Google, 20% of all the searches are on voice. Over 65% of Amazon Echo or Google Homeowners do not wish to go back to keyboard input.
  • Additionally, the demand for devices that take voice input is increasing significantly. For instance, in 2019, the smart speaker revenue stood at USD 11.9 billion, worldwide, and it is expected to reach USD 35.5 billion by 2025. With such growing adoption, enterprises in the market are innovating the solutions to better capture the user input, thus enhancing the consumer experience. For instance, Amazon, one of the global giants in e-commerce space, is increasingly focusing on developing AI-based emotion analytics capabilities in its smart speakers.
  • Speech analytics in call centers is gaining widespread importance, as it can help evaluate and gather information from every single call. For instance, In February 2020, Ozonetel launched an AI-powered speech analytics dashboard for call centers. It tracks and displays a call center agent's speech rate, speech volume, and customer sentiment. With this tool, businesses can effectively analyze recordings, and marketing departments can access live feeds from their call centers.
  • Such developments in the market are expected to influence the retail industry. A large number of enterprises involved in developing voice recognition, analytics, and AI are incorporating these solutions from retail space, such as Amazon, Google, Alibaba, and JD.com.

North America Region is Expected to Drive the Market Demand

  • North America region is expected to hold a prominent share of the market due to the presence of countries like the US and Canada, which are home to one of the largest retail markets, R&D investments, demand for IoT, smart wearables, ad spending. Marketers in the region are amongst the global leaders in adopting technologies that enable gaining consumer insights.
  • Consequently, the growing advertisement expenditure is expected to further influence the adoption of emotion analytics technology. More marketers are likely to incorporate technologies that enable them to gain insights and make data-driven decisions. According to Zenith, the global ad expenditure in 2019 stood at USD 640 billion, and among the modes, internet display held the major market share. Owing to this, marketers are expected to incorporate emotion analytics solutions to gain consumer insights
  • The US is one of the world's largest retail markets that drive a significant share of global retail, including e-commerce. With increasing retail sales, the retailers in the region are increasingly spending on ads that target the right segment. The growing sales are enabling retailers to spend more on technologies that enable such capabilities.
  • Additionally, the region is home for an ample number of players in the market including Affectiva, Neuromore Inc, Retinad Virtual Reality Inc, and Eyris. These vendors primarily rely on the region for its business operations. For instance, In March 2019, Realeyes announced its plans to hire key new executives across its markets in North America and APAC to feed the accelerated demand for scalable content intelligence levering its new emotion AI.

Competitive Landscape

The emotion analytics market is consolidated due to a few players accounting for the major market share. Moreover, due to higher investment and demand for personalized user experiences, market entry for new entrants remains challenging. Some of the key players in the market are Affectiva Inc, IBM Corporation, RealEyes, Clarifai, among others.

  • June 2019- Realeyes OU showcased its new emotion AI technology that uses webcams to capture the emotional engagement and attention of viewers worldwide. The platform offers a dashboard feature that helps marketers to gain insights about the viewers in 3 hours.
  • April 2019 - Affectiva Inc. announced that it had closed USD 26 million funding to enhance its emotion and object detection AI for monitoring the vehicle passenger. The funding round was let by Aptiv, an automotive supplier. The company aims to deploy the solution into a car safety system to recognize the state of the driver's emotions.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Deliverables and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Threat of New Entrants
    • 4.2.2 Bargaining Power of Buyers/Consumers
    • 4.2.3 Bargaining Power of Suppliers
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Market Drivers
    • 4.3.1 Growing IoT Applications and Adoption of Wearable Devices
    • 4.3.2 Increasing Need for Advanced Marketing Tools
  • 4.4 Market Restraints
    • 4.4.1 Data Privacy Concerns and Data Regulation Adoption Across the World
  • 4.5 Assesment of Impact of COVID-19 on the Industry

5 MARKET SEGMENTATION

  • 5.1 By Type
    • 5.1.1 Face Analytics
    • 5.1.2 Video Analytics
    • 5.1.3 Speech Analytics
    • 5.1.4 Text Analytics
  • 5.2 By Deployment
    • 5.2.1 On-Premise
    • 5.2.2 Cloud
  • 5.3 By Application
    • 5.3.1 Competitive Intelligence
    • 5.3.2 Sales and Marketing Management
    • 5.3.3 Public Safety and Law Enforcement
    • 5.3.4 Customer Experience Management
    • 5.3.5 Workforce Management
  • 5.4 End-user Vertical
    • 5.4.1 Automotive
    • 5.4.2 BFSI
    • 5.4.3 Media & Entertainment
    • 5.4.4 Retail
    • 5.4.5 Healthcare
    • 5.4.6 IT & Telecommunication
    • 5.4.7 Other End-user Verticals
  • 5.5 Geography
    • 5.5.1 North America
      • 5.5.1.1 United States
      • 5.5.1.2 Canada
    • 5.5.2 Europe
      • 5.5.2.1 Germany
      • 5.5.2.2 United Kingdom
      • 5.5.2.3 France
      • 5.5.2.4 Rest of Europe
    • 5.5.3 Asia-Pacific
      • 5.5.3.1 India
      • 5.5.3.2 China
      • 5.5.3.3 Japan
      • 5.5.3.4 Rest of Asia-Pacific
    • 5.5.4 Latin America
      • 5.5.4.1 Brazil
      • 5.5.4.2 Argentina
      • 5.5.4.3 Rest of Latin America
    • 5.5.5 Middle East and Africa
      • 5.5.5.1 United Arab Emirates
      • 5.5.5.2 Saudi Arabia
      • 5.5.5.3 Rest of Middle East and Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 IBM Corporation
    • 6.1.2 RealEyes OU
    • 6.1.3 Affectiva Inc.
    • 6.1.4 Clarifai Inc.
    • 6.1.5 Sensum Co.
    • 6.1.6 Beyond Verbal
    • 6.1.7 Noldus Information Technology (NIT)
    • 6.1.8 Sentiance NV
    • 6.1.9 Lexalytics Inc
    • 6.1.10 Deloitte Touche Tohmatsu Ltd.
    • 6.1.11 Gorilla Technology Group

7 INVESTMENT ANALYSIS

8 FUTURE OF THE MARKET

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