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市场调查报告书
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1445579

情绪分析 - 市场占有率分析、产业趋势与统计、成长预测（2024 - 2029）

Emotion Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
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

情绪分析市场规模预计到 2024 年为 39 亿美元，预计到 2029 年将达到 81.5 亿美元，在预测期内（2024-2029 年）CAGR为 15.93%。

情绪分析 - 市场

人工智慧（AI）带来数位转型浪潮；人工智慧在理解人类情感方面的限制仍然是一个挑战。然而，在过去十年中，资料获取的不断增长、低成本运算能力和不断发展的 NLP 功能，再加上数位学习，使得系统能够分析人类的情绪。情绪侦测和识别预计将获得关注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（以增强客户体验）。

主要亮点

  • 对增强客户体验的关注正在增加对技术的支出，使企业能够获得消费者洞察。根据Salesforce的消费者调查报告，84%的客户提到公司的体验对他们来说与服务和产品一样重要，62%的客户愿意使用人工智慧来改善他们的体验。市场的此类发展预计将增加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，越来越多地推出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好的人类情绪智商方面的作用日益增强，显着提高了客户对该技术的认识。
  • 预计汽车产业将成为未来几年技术的另一个主要采用者。随着自动驾驶汽车、ADAS 和连网汽车的出现，物联网和感测器的结合正在不断增加；汽车供应商预计将主要出于安全考量而纳入情感分析。
  • 理解人类情感对于打造有效品牌、令人难忘的客户体验和创新内容的重要性现已广受认可。毕竟，买家的行为会受到情绪的影响。但情感却常被误解或忽略。组织需要与个人拥有相同的情绪智商，以便理解他们的受众和客户，而不强迫他们考虑甚至承认他们的情绪。理解感受的传统方法昂贵、耗时且不可扩展。
  • 此外，在 COVID-19 的情况下，许多人都表现出了痛苦的迹象，因为 COVID-19 造成了情感上的损失。结果，大多数人由于无法进行社交互动而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的机会。例如，专家系统和社会计量学使用社交媒体上的文本分析来监控人们的情绪和整体情绪。 Expert System 的人工智慧技术从每个发布的文本中提取情感，然后由 Sociometrica 进行分析和解释。

情绪分析市场趋势

语音分析将在情绪分析市场中占据重要份额

  • 全球对基于语音的解决方案的需求正在显着增加。随着连接扬声器和家庭设备的智慧型手机的出现，语音和语音分析的渗透率正在显着增长。例如，根据 Google 的数据，所有搜寻中有 20% 是透过语音进行的。超过 65% 的 Amazon Echo 或 Google Home 用户不想返回键盘输入。
  • 此外，对接受语音输入的设备的需求正在显着增加。随着采用率的不断提高，市场上的企业正在创新解决方案，以更好地捕捉用户输入，从而增强消费者体验。例如，电子商务领域的全球巨头之一亚马逊越来越注重在其智慧音箱中开发基于人工智慧的情感分析功能。
  • 呼叫中心的语音分析越来越重要，因为它可以帮助评估和收集每个呼叫的资讯。语音分析可以识别表现最佳的人工座席并简化客户洞察。为了最大限度地提高人类生产力并更快地解决关键客户查询，客户服务组织可能会利用资料洞察来更好地细分和分配特定客户查询的资源。
  • 语音分析会立即分析每个录製的对话，以找到特定的单字和短语。然后可以对这些单字和短语进行自动排序和分类，以识别代理的擅长之处以及需要即兴发挥的地方。语音分析是保证脚本一致性的绝佳方法，这在许多行业中至关重要。
  • 市场的此类发展预计将影响零售业。许多参与开发语音辨识、分析和人工智慧的企业正在整合零售领域的这些解决方案，例如亚马逊、谷歌、阿里巴巴和京东。

北美可望推动市场需求

  • 由于美国和加拿大等国家拥有最大的零售市场、研发投资、物联网需求、智慧穿戴装置和广告支出，北美地区预计将占据主要市场份额。该地区的营销人员在采用能够获得消费者洞察的技术方面处于全球领先地位。
  • 因此，不断增长的广告支出预计将进一步影响情绪分析技术的采用。更多的行销人员可能会采用技术，使他们能够获得洞察并做出数据驱动的决策。媒体业务Group M估计，当市场从冠状病毒流行的影响中恢復时，媒体所有者的全球广告收入增加了24.3%。当时全球广告业的销售额为 7,724 亿美元。预计到 2026 年，该市场规模将超过 1 兆美元。最大的区域广告市场预计将是北美，紧随其后的是亚太地区。因此，行销人员应该结合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，在全球零售业（包括电子商务）中占据很大份额。随着零售额的增加，区域零售商越来越多地在针对正确细分市场的广告上投入资金。不断增长的销售额使零售商能够在支援此类功能的技术上投入更多资金。
  • 北美也是消费和工业领域物联网最大的市场之一。根据 GSMA 情报，到 2025 年，该地区的物联网连接数量预计将达到 59 亿。这种增长预计将使行销人员能够获得真实的消费者洞察并改善广告培训。
  • 此外，该地区拥有大量市场参与者，包括 Affectiva、Neuromore Inc、Retinad Virtual Reality Inc 和 Eyris。这些供应商主要依赖该地区开展业务。

情感分析产业概述

由于少数参与者占据了主要市场份额，情绪分析市场得到了整合。此外，由于更高的投资和对个人化用户体验的需求，新进入者的市场进入仍然具有挑战性。市场上一些主要的参与者包括 Affectiva Inc、IBM Corporation、RealEyes 和 Clarifai 等。

  • 2023 年 6 月：领先的产品分析公司 Kouo 推出了创新的人工智慧情感分析技术。透过量化和分析真实的人类情感，Kouo 使公司能够了解用户行为，优先考虑功能开发，并提供适应用户动态的个人化体验。
  • 2023 年 2 月：人工智慧驱动的综合市场研究平台供应商 Entropik 获得 Bessemer Venture Partners 和 SIG Venture Capital 的 2,500 万美元 B 轮融资。这项投资将进一步建立其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分享回馈时的感受。

额外的好处：

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

目录

第 1 章：简介

  • 研究成果和市场定义
  • 研究范围

第 2 章：研究方法

第 3 章：执行摘要

第 4 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
    • 买家/消费者的议价能力
    • 供应商的议价能力
    • 替代产品的威胁
    • 竞争激烈程度
  • 市场驱动因素
    • 不断成长的物联网应用和穿戴式装置的采用
    • 对先进行销工具的需求不断增加
  • 市场限制
    • 全球资料隐私问题和资料监管采用
  • 关键用例
    • 脸部分析
    • 影片分析
    • 语音分析
    • 文字分析
  • COVID-19 对产业影响的评估

第 5 章：市场细分

  • 按部署
    • 本地部署
    • 云
  • 按应用
    • 客户服务
    • 产品/市场研究
    • 卫生保健
    • 汽车
    • 教育
    • 赌博
  • 地理
    • 北美洲
    • 欧洲
    • 亚太
    • 拉丁美洲
    • 中东和非洲

第 6 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 7 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 3.9 billion in 2024, and is expected to reach USD 8.15 billion by 2029, growing at a CAGR of 15.93% during the forecast period (2024-2029).

Emotion Analytics - Market

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