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市場調查報告書
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1643050

情緒分析：市場佔有率分析、產業趨勢與統計、成長預測（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個工作天內

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簡介目錄

情緒分析市場規模在 2025 年預計為 45.2 億美元，預計到 2030 年將達到 94.7 億美元，預測期內（2025-2030 年）的複合年成長率為 15.93%。

情緒分析-市場-IMG1

人工智慧（AI）帶來了數位轉型的浪潮，但AI在理解人類情感方面的限制仍然是一個挑戰。但在過去十年中，不斷增加的資料存取、低成本的運算能力、不斷發展的 NLP 能力以及數位學習使得系統能夠分析人類的情緒。情緒偵測和識別預計將變得流行的關鍵領域包括娛樂（主要是遊戲）、交通（自動駕駛汽車）、醫療保健（各種診斷）和零售（改善客戶體驗）。

主要亮點

  • 對改善客戶體驗的關注正在推動對技術支出的增加，以幫助企業獲得消費者洞察。根據銷售團隊 的消費者研究報告，84% 的客戶表示公司的體驗與其服務或產品同等重要，62% 的客戶願意使用 AI 來改善他們的體驗。預計這一市場發展將推動對情感分析等技術的需求。
  • 因此，市場上的各種供應商，例如 RealEyes 和 IBM，擴大發布與情緒檢測和分析相關的多種形式的 API。此外，多模態解決方案的推出將包括語音、文字和臉部辨識的整合。此外，肌肉活動、大腦活動、皮膚電導和心率監測在提供更高的人類情緒智商方面發揮越來越大的作用，這極大地提高了客戶對這項技術的認知。
  • 預計未來幾年汽車業將成為該技術的另一個主要採用者。隨著自動駕駛汽車、ADAS 和聯網汽車的出現，物聯網和感測器的採用正在增加，汽車供應商預計將主要出於安全目的採用情感分析。
  • 人們已經廣泛認知到理解人類情感對於打造有效的品牌、令人難忘的客戶體驗和創新內容的重要性。畢竟，購買行為是由情感驅動的。然而情緒常常被誤解或忽視。組織需要與個人相同的情緒智商來理解受眾和客戶的情緒。理解情緒的傳統方法昂貴、耗時，且不可擴充性。
  • 此外，在 COVID-19 疫情期間，許多人表現出痛苦的徵兆，因為 COVID-19 給他們帶來了情感上的傷害。結果，該國許多人無法進行社交，並轉向社交媒體來表達自己的感受。這為供應商提供了探索其產品潛力的機會。例如，Expert System 和 Sociometrica 使用社群媒體上的文字分析來監控人們的情緒和普遍情緒。專家系統的人工智慧技術從每篇已發表的文本中提取情感，然後由 Sociometrica 進行分析和解釋。

情緒分析市場的趨勢

語音分析將主導情緒分析市場

  • 全球對基於語音的解決方案的需求正在大幅成長。隨著連接到揚聲器和家用設備的智慧型手機的出現，語音和語音分析的採用顯著成長。例如，根據谷歌的數據，20% 的搜尋都是由語音驅動的。超過 65% 的 Amazon Echo 和 Google Home 用戶再也不想用鍵盤打字了。
  • 此外，對接受語音輸入的設備的需求也顯著增加。隨著採用率的提高，市場上的公司正在創新解決方案，以更好地捕捉用戶輸入並改善消費者體驗。例如，全球大型公司之一亞馬遜越來越注重在其智慧揚聲器上開發基於人工智慧的情感分析功能。
  • 客服中心的語音分析正變得越來越重要，因為它有助於評估和收集每個呼叫的資訊。語音分析可以識別高效的人工代理並簡化客戶洞察。為了最大限度地提高人力生產力並更快地解決重要的客戶疑問，顧客關懷組織可以利用資料洞察來改善特定客戶問題的細分和資源分配。
  • 語音分析會立即分析所有記錄的對話，尋找特定的單字和短語。然後可以自動對這些短語進行排序和分類，以確定代理的優勢和需要改進的地方。語音分析是確保腳本適用性的好方法，這在許多行業中至關重要。
  • 預計這一市場發展也將對零售業產生影響。許多開發語音辨識、分析和人工智慧的公司正在採用零售業的這些解決方案，其中包括亞馬遜、谷歌、阿里巴巴和京東。

北美可望引領市場需求

  • 預計北美地區將佔據相當大的市場佔有率，因為美國和加拿大等國家是最大的零售市場之一，而且研發投資、物聯網需求、智慧穿戴裝置以及廣告支出都位居前列。該地區的負責人在採用能夠讓他們獲得消費者洞察的技術方面處於全球領先地位。
  • 因此，預計廣告支出的增加將進一步影響情緒分析技術的採用。更多的行銷人員將採用能夠讓他們獲得洞察力並做出資料主導的決策的技術。媒體業務集團 M 估計，隨著市場從冠狀病毒大流行的影響中恢復，媒體所有者的全球廣告收入成長了 24.3%。當時，全球廣告收入為7,724億美元。預計到 2026 年市場規模將超過 1 兆美元。按地區分類，北美預計將成為最大的廣告市場，其次是亞太地區。因此，負責人有望採用情感分析解決方案來獲得消費者洞察。
  • 美國是世界上最大的零售市場之一，佔據著全球零售業（包括電子商務）的巨大佔有率。隨著零售額的不斷成長，本地零售商正在增加廣告支出，以瞄準正確的細分市場。隨著銷售額的成長，零售商可以負擔得起在實現這些功能的技術上投入更多的資金。
  • 北美也是物聯網最大的市場之一，無論是在消費領域或工業領域。根據GSMA預測，到2025年該地區的物聯網連接數量將達到59億。預計這一成長將幫助負責人獲得真正的消費者洞察並改善廣告培訓。
  • 此外，該地區還有許多市場參與者，包括 Affectiva、Neuromore Inc、Retinad Virtual Reality Inc 和 Eyris。這些供應商主要在該地區經營。

情緒分析行業概況

情感分析市場正在整合，少數參與者佔據主要市場佔有率。此外，由於投資成本高以及對個人化使用者體驗的需求，新參與企業的市場進入仍然具有挑戰性。市場的主要企業包括 Affectiva Inc、IBM Corporation、RealEyes 和 Clarifai。

  • 2023 年 6 月產品分析領域的先驅 Kouo 推出了由 AI 驅動的革命性情緒分析技術。透過量化和分析真實的人類情感，Kuo 幫助企業了解使用者行為、確定功能開發的優先級，並提供適應使用者動態狀態的個人化體驗。
  • 2023 年 2 月，人工智慧綜合市場研究平台供應商 Entropik 從 Bessemer Venture Partners 和 SIG Venture Capital 籌集了 2,500 萬美元的 B 輪融資。這項投資是為了進一步拓展公司的情感人工智慧技術套件，使高階業務領導者能夠了解客戶在共用回饋時的感受。

其他福利

  • Excel 格式的市場預測 (ME) 表
  • 3 個月的分析師支持

目錄

第 1 章 簡介

  • 研究結果與市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

  • 市場概況
  • 產業吸引力－波特五力分析
    • 新進入者的威脅
    • 購買者/消費者的議價能力
    • 供應商的議價能力
    • 替代品的威脅
    • 競爭對手之間的競爭強度
  • 市場促進因素
    • 物聯網應用的擴大和穿戴式裝置的普及
    • 對先進行銷工具的需求日益增加
  • 市場限制
    • 全球資料隱私問題和資料法規的推出
  • 關鍵使用案例
    • 臉部分析
    • 影片分析
    • 語音分析
    • 文字分析
  • 評估新冠肺炎對產業的影響

第5章 市場區隔

  • 按部署
    • 本地
    • 雲
  • 按應用
    • 客戶服務
    • 產品/市場研究
    • 衛生保健
    • 車
    • 教育
    • 遊戲
  • 按地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲

第6章 競爭格局

  • 公司簡介
    • 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章投資分析

第 8 章：市場的未來

簡介目錄
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