查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1445579

情緒分析 - 市場佔有率分析、產業趨勢與統計、成長預測（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個工作天內

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

情緒分析市場規模估計到2024年為 39 億美元，預計到2029年將達到 81.5 億美元，在預測期內（2024-2029年）CAGR為 15.93%。

情緒分析 - 市場

人工智慧（AI）帶來數位轉型浪潮；人工智慧在理解人類情感方面的限制仍然是一個挑戰。然而，在過去十年中，資料獲取的不斷成長、低成本運算能力和不斷發展的 NLP 功能，再加上數位學習，使得系統能夠分析人類的情緒。情緒偵測和識別預計將獲得關注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（以增強客戶體驗）。

主要亮點

  • 對增強客戶體驗的關注日益增加對技術的支出，使企業能夠獲得消費者洞察。根據Salesforce的消費者調查報告，84%的客戶提到公司的體驗對他們來說與服務和產品一樣重要，62%的客戶願意使用人工智慧來改善他們的體驗。市場的此類發展預計將增加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，擴大推出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好的人類情緒智商方面的作用日益增強，顯著提高了客戶對該技術的認知。
  • 預計汽車產業將成為未來幾年技術的另一個主要採用者。隨著自動駕駛汽車、ADAS 和連網汽車的出現，物聯網和感測器的結合不斷增加；汽車供應商預計將主要出於安全考量而涵蓋情感分析。
  • 理解人類情感對於打造有效品牌、令人難忘的客戶體驗和創新內容的重要性現已廣受認可。畢竟，買家的行為會受到情緒的影響。但情感卻常被誤解或忽略。組織需要與個人擁有相同的情緒智商，以便理解他們的受眾和客戶，而不強迫他們考慮甚至承認他們的情緒。理解感受的傳統方法昂貴、耗時且不可擴展。
  • 此外，在 COVID-19 的情況下，許多人都表現出了痛苦的跡象，因為 COVID-19 造成了情感上的損失。結果，大多數人由於無法進行社交互動而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的機會。例如，專家系統和社會計量學使用社交媒體上的文本分析來監控人們的情緒和整體情緒。 Expert System 的人工智慧技術從每個發布的文本中提取情感，然後由 Sociometrica 進行分析和解釋。

情緒分析市場趨勢

語音分析將在情緒分析市場中佔據重要佔有率

  • 全球對基於語音的解決方案的需求顯著增加。隨著連接揚聲器和家庭設備的智慧型手機的出現，語音和語音分析的滲透率顯著成長。例如，根據 Google 的資料，所有搜尋中有20%是透過語音進行的。超過 65%的 Amazon Echo 或 Google Home 用戶不想返回鍵盤輸入。
  • 此外，對接受語音輸入的設備的需求顯著增加。隨著採用率的不斷提高，市場上的企業創新解決方案，以更佳捕捉用戶輸入，增強消費者體驗。例如，電子商務領域的全球巨頭之一亞馬遜越來越注重在其智慧音箱中開發基於人工智慧的情感分析功能。
  • 呼叫中心的語音分析越來越重要，因為它可以幫助評估和收集每個呼叫的資訊。語音分析可以識別表現最佳的人工座席並簡化客戶洞察。為了最大限度地提高人類生產力並更快地解決關鍵客戶查詢，客戶服務組織可能會利用資料洞察來更佳細分和分配特定客戶查詢的資源。
  • 語音分析會立即分析每個錄製的對話，以找到特定的單字和短語。然後可以對這些單字和短語進行自動排序和分類，以識別代理的擅長之處以及需要即興發揮的地方。語音分析是保證腳本一致性的絕佳方法，這在許多行業中非常重要。
  • 市場的此類發展預計將影響零售業。許多參與開發語音辨識、分析和人工智慧的企業整合零售領域的這些解決方案，例如亞馬遜、谷歌、阿里巴巴和京東。

北美可望推動市場需求

  • 由於美國和加拿大等國家擁有最大的零售市場、研發投資、物聯網需求、智慧穿戴裝置和廣告支出，北美地區預計將佔據主要市場佔有率。該地區的行銷人員在採用能夠獲得消費者洞察的技術方面處於全球領先地位。
  • 因此，不斷成長的廣告支出預計將進一步影響情緒分析技術的採用。更多的行銷人員可能會採用技術，使他們能夠獲得洞察並做出資料驅動的決策。媒體業務Group M估計，當市場從冠狀病毒流行的影響中恢復時，媒體所有者的全球廣告收入增加了24.3%。當時全球廣告業的銷售額為 7,724 億美元。預計到2026年，該市場規模將超過 1 兆美元。最大的區域廣告市場預計將是北美，緊隨其後的是亞太地區。因此，行銷人員應該結合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，在全球零售業（包括電子商務）中佔據很大佔有率。隨著零售額的增加，區域零售商擴大在針對正確細分市場的廣告上投入資金。不斷成長的銷售額使零售商能夠在支援此類功能的技術上投入更多資金。
  • 北美也是消費和工業領域物聯網最大的市場之一。根據 GSMA 情報，到2025年，該地區的物聯網連接數量預計將達到 59 億。這種成長預計將使行銷人員能夠獲得真實的消費者洞察並改善廣告培訓。
  • 此外，該地區擁有大量市場參與者，包括 Affectiva、Neuromore Inc、Retinad Virtual Reality Inc 和 Eyris。這些供應商主要依賴該地區開展業務。

情感分析產業概述

由於少數參與者佔據了主要市場佔有率，情緒分析市場得到了整合。此外，由於更高的投資和對個人化用戶體驗的需求，新進入者的市場進入仍然具有挑戰性。市場上一些主要的參與者包括 Affectiva Inc、IBM Corporation、RealEyes 和 Clarifai 等。

  • 2023年 6月：領先的產品分析公司 Kouo 推出了創新的人工智慧情感分析技術。透過量化和分析真實的人類情感，Kouo 使公司能夠了解用戶行為，優先考慮功能開發，並提供適應用戶動態的個人化體驗。
  • 2023年 2月：人工智慧驅動的綜合市場研究平台供應商 Entropik 獲得 Bessemer Venture Partners 和 SIG Venture Capital 的 2,500 萬美元 B 輪融資。這項投資將進一步建立其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分享回饋時的感受。

附加優惠：

  • Excel 格式的市場估算（ME）表
  • 3 個月的分析師支持

目錄

第1章 簡介

  • 研究成果和市場定義
  • 研究範圍

第2章 研究方法

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
    • 買家/消費者的議價能力
    • 供應商的議價能力
    • 替代產品的威脅
    • 競爭激烈程度
  • 市場促進因素
    • 不斷成長的物聯網應用和穿戴式裝置的採用
    • 對先進行銷工具的需求不斷增加
  • 市場限制
    • 全球資料隱私問題和資料監管採用
  • 關鍵用例
    • 臉部分析
    • 影片分析
    • 語音分析
    • 文字分析
  • COVID-19 對產業影響的評估

第5章 市場細分

  • 依部署
    • 本地部署
    • 雲端
  • 依應用
    • 客戶服務
    • 產品/市場研究
    • 衛生保健
    • 汽車
    • 教育
    • 賭博
  • 地理
    • 北美洲
    • 歐洲
    • 亞太
    • 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 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