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市场调查报告书
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1643050

情绪分析：市场占有率分析、产业趋势与统计、成长预测（2025-2030 年）

Emotion Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

情绪分析市场规模在 2025 年预计为 45.2 亿美元，预计到 2030 年将达到 94.7 亿美元，预测期内（2025-2030 年）的复合年增长率为 15.93%。

情绪分析-市场-IMG1

人工智慧（AI）带来了数位转型的浪潮，但AI在理解人类情感方面的限制仍然是一个挑战。但在过去十年中，不断增加的资料存取、低成本的运算能力、不断发展的 NLP 能力以及数位学习使得系统能够分析人类的情绪。情绪侦测和识别预计将变得流行的关键领域包括娱乐（主要是游戏）、交通（自动驾驶汽车）、医疗保健（各种诊断）和零售（改善客户体验）。

主要亮点

  • 对改善客户体验的关注正在推动对技术支出的增加，以帮助企业获得消费者洞察。根据销售团队 的消费者研究报告，84% 的客户表示公司的体验与其服务或产品同等重要，62% 的客户愿意使用 AI 来改善他们的体验。预计这一市场发展将推动对情感分析等技术的需求。
  • 因此，市场上的各种供应商，例如 RealEyes 和 IBM，越来越多地发布与情绪检测和分析相关的多种形式的 API。此外，多模态解决方案的推出将包括语音、文字和脸部辨识的整合。此外，肌肉活动、大脑活动、皮肤电导和心率监测在提供更高的人类情绪智商方面发挥越来越大的作用，这极大地提高了客户对这项技术的认识。
  • 预计未来几年汽车业将成为该技术的另一个主要采用者。随着自动驾驶汽车、ADAS 和联网汽车的出现，物联网和感测器的采用正在增加，汽车供应商预计将主要出于安全目的采用情感分析。
  • 人们已经广泛认识到理解人类情感对于打造有效的品牌、令人难忘的客户体验和创新内容的重要性。毕竟，购买行为是由情感驱动的。然而情绪常常被误解或忽视。组织需要与个人相同的情绪智商来理解受众和客户的情绪。理解情绪的传统方法昂贵、耗时，且不可扩充性。
  • 此外，在 COVID-19 疫情期间，许多人表现出痛苦的征兆，因为 COVID-19 给他们带来了情感上的伤害。结果，该国许多人无法进行社交，并转向社交媒体来表达自己的感受。这为供应商提供了探索其产品潜力的机会。例如，Expert System 和 Sociometrica 使用社群媒体上的文字分析来监控人们的情绪和普遍情绪。专家系统的人工智慧技术从每篇已发表的文本中提取情感，然后由 Sociometrica 进行分析和解释。

情绪分析市场的趋势

语音分析将主导情绪分析市场

  • 全球对基于语音的解决方案的需求正在大幅增长。随着连接到扬声器和家用设备的智慧型手机的出现，语音和语音分析的采用显着增长。例如，根据谷歌的数据，20% 的搜寻都是由语音驱动的。超过 65% 的 Amazon Echo 和 Google Home 用户再也不想用键盘打字了。
  • 此外，对接受语音输入的设备的需求也显着增加。随着采用率的提高，市场上的公司正在创新解决方案，以更好地捕捉用户输入并改善消费者体验。例如，全球大型公司之一亚马逊越来越注重在其智慧扬声器上开发基于人工智慧的情感分析功能。
  • 客服中心的语音分析正变得越来越重要，因为它有助于评估和收集每个呼叫的资讯。语音分析可以识别高效的人工代理并简化客户洞察。为了最大限度地提高人力生产力并更快地解决重要的客户疑问，顾客关怀组织可以利用资料洞察来改善特定客户问题的细分和资源分配。
  • 语音分析会立即分析所有记录的对话，寻找特定的单字和短语。然后可以自动对这些短语进行排序和分类，以确定代理的优势和需要改进的地方。语音分析是确保脚本适用性的好方法，这在许多行业中至关重要。
  • 预计这一市场发展也将对零售业产生影响。许多开发语音辨识、分析和人工智慧的公司正在采用零售业的这些解决方案，其中包括亚马逊、谷歌、阿里巴巴和京东。

北美可望引领市场需求

  • 预计北美地区将占据相当大的市场占有率，因为美国和加拿大等国家是最大的零售市场之一，而且研发投资、物联网需求、智慧穿戴装置以及广告支出都位居前列。该地区的负责人在采用能够让他们获得消费者洞察的技术方面处于全球领先地位。
  • 因此，预计广告支出的增加将进一步影响情绪分析技术的采用。更多的行销人员将采用能够让他们获得洞察力并做出资料主导的决策的技术。媒体业务集团 M 估计，随着市场从冠状病毒大流行的影响中恢復，媒体所有者的全球广告收入增长了 24.3%。当时，全球广告收入为7,724亿美元。预计到 2026 年市场规模将超过 1 兆美元。按地区划分，北美预计将成为最大的广告市场，其次是亚太地区。因此，负责人有望采用情感分析解决方案来获得消费者洞察。
  • 美国是世界上最大的零售市场之一，占据着全球零售业（包括电子商务）的巨大份额。随着零售额的不断增长，本地零售商正在增加广告支出，以瞄准正确的细分市场。随着销售额的成长，零售商可以负担得起在实现这些功能的技术上投入更多的资金。
  • 北美也是物联网最大的市场之一，无论是在消费领域或工业领域。根据GSMA预测，到2025年该地区的物联网连接数量将达到59亿。预计这一成长将帮助负责人获得真正的消费者洞察并改善广告培训。
  • 此外，该地区还有许多市场参与者，包括 Affectiva、Neuromore Inc、Retinad Virtual Reality Inc 和 Eyris。这些供应商主要在该地区经营。

情绪分析行业概况

情感分析市场正在整合，少数参与者占据主要市场占有率。此外，由于投资成本高以及对个人化使用者体验的需求，新参与企业的市场进入仍然具有挑战性。市场的主要企业包括 Affectiva Inc、IBM Corporation、RealEyes 和 Clarifai。

  • 2023 年 6 月产品分析领域的先驱 Kouo 推出了由 AI 驱动的革命性情绪分析技术。透过量化和分析真实的人类情感，Kuo 帮助企业了解使用者行为、确定功能开发的优先级，并提供适应使用者动态状态的个人化体验。
  • 2023 年 2 月，人工智慧综合市场研究平台供应商 Entropik 从 Bessemer Venture Partners 和 SIG Venture Capital 筹集了 2,500 万美元的 B 轮融资。这项投资是为了进一步拓展公司的情感人工智慧技术套件，使高阶业务领导者能够了解客户在共用回馈时的感受。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章 简介

  • 研究结果与市场定义
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 新进入者的威胁
    • 购买者/消费者的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争对手之间的竞争强度
  • 市场驱动因素
    • 物联网应用的扩大和穿戴式装置的普及
    • 对先进行销工具的需求日益增加
  • 市场限制
    • 全球资料隐私问题和资料法规的推出
  • 关键使用案例
    • 脸部分析
    • 影片分析
    • 语音分析
    • 文字分析
  • 评估新冠肺炎对产业的影响

第五章 市场区隔

  • 按部署
    • 本地
    • 云
  • 按应用
    • 客户服务
    • 产品/市场研究
    • 卫生保健
    • 车
    • 教育
    • 游戏
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲

第六章 竞争格局

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

第七章投资分析

第 8 章：市场的未来

简介目录
Product Code: 69332

The Emotion Analytics Market size is estimated at USD 4.52 billion in 2025, and is expected to reach USD 9.47 billion by 2030, at a CAGR of 15.93% during the forecast period (2025-2030).

Emotion Analytics - Market - IMG1

Artificial intelligence (AI) has brought in a wave of digital transformation; the limitation of AI to understand human emotion remains a challenge. However, in 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 includes the integration of speech, text, and facial recognition. Also, the increasing role of muscle activity, brain activity, skin conductance, and heart rate monitoring in delivering better human emotional intelligence 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.
  • The importance of comprehending human emotion in building effective brands, memorable customer experiences, and innovative content is now widely acknowledged. After all, buyer behaviour is influenced by emotions. Still feelings are all too frequently misunderstood or ignored. Organizations require the same emotional intelligence that individuals possess in order to comprehend their audiences and clients without forcing them to consider or even acknowledge their emotions. Traditional methods for understanding feelings are expensive, time-consuming, and not scalable.
  • Also, Amid 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 people's emotions and general sentiments. Expert System's artificial intelligence technology extracts emotions from each published text, which are then analyzed and interpreted by Sociometrica.

Emotion Analytics Market Trends

Speech Analytics to Hold a Significant Share in the Emotion Analytics Market

  • The global demand for voice-based solutions is increasing significantly. With the advent of smartphones connected to speakers and home devices, voice and speech analytics penetration 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 want to return to keyboard input.
  • Additionally, the demand for devices that take voice input is increasing significantly. With growing adoption, enterprises in the market are innovating solutions to capture the user input better, thus enhancing the consumer experience. For instance, Amazon, one of the global giants in the 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. Speech analytics can identify top-performing human agents and streamline customer insights. In order to maximize human productivity and enable quicker resolution of crucial customer queries, customer care organizations might leverage data insights to better segmentation and resource allocation for a particular customer query.
  • Speech analytics analyze every recorded conversation immediately to look for specific words and phrases. These words and phrases can then be automatically sorted and categorized to identify where an agent is excelling and where they need to improvise. Speech analytics is a fantastic approach to guarantee script conformance, which is essential in many industries.
  • 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 the retail space, such as Amazon, Google, Alibaba, and JD.com.

North America Expected to Drive the Market Demand

  • North America region is expected to hold a major market share 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, and 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 influence the adoption of emotion analytics technology further. More marketers will likely incorporate technologies that enable them to gain insights and make data-driven decisions. Media business Group M estimates that when the market recovered from the effects of the coronavirus epidemic, media owners' worldwide ad income increased by 24.3%. The worldwide ad industry generated USD 772.4 billion in sales at that time. The market is anticipated to surpass USD 1 trillion by 2026. The biggest regional ad market is anticipated to be North America, closely followed by the Asia Pacific. Therefore, marketers are expected to incorporate emotion analytics solutions to gain consumer insights.
  • The United States is one of the world's largest retail markets that drive a significant share of global retail, including e-commerce. With increasing retail sales, regional retailers are increasingly spending on ads targeting the right segment. The growing sales are enabling retailers to spend more on technologies that enable such capabilities.
  • North America is also one of the largest markets in IoT in both consumer and industrial spaces. According to GSMA intelligence, the number of IoT connections in the region is expected to reach 5.9 billion by 2025. Such growth is expected to enable marketers to attain authentic consumer insights and improve ad training.
  • Additionally, the region is home to 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 their business operations.

Emotion Analytics Industry Overview

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

  • June 2023: Kouo, a pioneering product analytics company, launched its innovative AI-powered emotion analytics technology. By quantifying and analyzing real human emotions, Kouo enables companies to understand user behavior, prioritize feature development, and deliver personalized experiences that adapt to users' dynamic states.
  • February 2023: Artificial intelligence-powered integrated market research platform provider Entropik has secured USD 25 million in Series B funding from Bessemer Venture Partners and SIG Venture Capital. This investment is set to build further its emotion AI technology suite that enables senior business leaders to understand what emotions customers are feeling while they're sharing feedback.

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 Key Use Cases
    • 4.5.1 Face Analytics
    • 4.5.2 Video Analytics
    • 4.5.3 Speech Analytics
    • 4.5.4 Text Analytics
  • 4.6 Assesment of Impact of COVID-19 on the Industry

5 MARKET SEGMENTATION

  • 5.1 By Deployment
    • 5.1.1 On-Premise
    • 5.1.2 Cloud
  • 5.2 By Application
    • 5.2.1 Customer Service
    • 5.2.2 Product/Market Research
    • 5.2.3 Healthcare
    • 5.2.4 Automaotive
    • 5.2.5 Education
    • 5.2.6 Gaming
  • 5.3 Geography
    • 5.3.1 North America
    • 5.3.2 Europe
    • 5.3.3 Asia-Pacific
    • 5.3.4 Latin America
    • 5.3.5 Middle East and Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Affectiva Inc.
    • 6.1.2 RealEyes OU
    • 6.1.3 IBM Corporation
    • 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