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市場調查報告書
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1637764

文本分析：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030）

Text 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

文本分析市場在 2025 年的價值預估為 146.8 億美元，預計到 2030 年將達到 786.5 億美元，預測期內（2025-2030 年）的複合年成長率為 39.9%。

文本分析-市場-IMG1

許多雲端基礎的應用程式使用文字分析，包括預測分析、欺詐管理、風險管理、商業智慧和網路犯罪預防。

主要亮點

  • 企業擴大使用文字分析工具來協助業務決策流程，透過從各種文字來源（例如客戶互動、電子郵件、部落格、產品評論、推文和中心日誌）提供可操作的見解。文字分析的主要目的是收集各種格式的資料，包括非結構化和結構化資料，並對其進行進一步分析，以幫助組織做出業務決策並資料市場績效。
  • 文字分析的主要好處包括降低成本、提高處理速度、巨量資料整合和提高一致性。由於採購的數位化，透過使用者推文和電子郵件產生非結構化資料變得越來越普遍。這些資訊被綁在一起，幫助企業了解消費者對企業和產品的行為，為企業的成長增加價值。
  • 據資料管理服務供應商Mongo DB稱，非結構化資料佔企業產生和收集的資料的80%至90%，而且這一數量還在快速成長。資料有多種形式，從傳統資料庫中的數位和結構化資料到非結構化文字文檔，如影片、音訊、電子郵件、股票行情資料和金融交易。利用這些資料進行文字分析可以為組織提供有價值的見解，從而推動全球市場的發展。
  • 工業環境中很少有黃金標準資料，這增加了評估發達的技術評估技術有效性的挑戰。評估 TA 技術的結果尤其困難，因為某些應用（例如情緒分析、文本分類和文本叢集）固有的主觀性，對文本分析市場的成長構成了挑戰。
  • 此外，一些領先的公司正專注於採用新的文字分析平台以獲得市場競爭優勢。例如，澳洲文本分析平台 (ATAP) 於 2022 年 11 月推出，為研究人員提供處理、分析和探索文本的工具和培訓開放原始碼平台。澳洲研究人員將可以存取資料和程式碼儲存庫、腳本、線上工作區和文字分析培訓的生態系統。
  • 機器學習和巨量資料分析的需求不斷成長預計將推動全球文本分析市場的發展。隨著人們繼續在家工作並透過社群媒體平台和電子郵件與品牌進行大量互動，COVID-19 對市場產生了積極影響，因為它進一步增加了對文字分析的需求。

文字分析市場趨勢

零售與電子商務主導文字分析市場

  • 在零售業，文字分析在分析顧客行為和預測消費趨勢方面發揮著至關重要的作用，這可能會推動該行業市場的發展。文字分析可以幫助企業利用客戶過去的行為為他們提供個人化的優惠和折扣。
  • 我們針對零售和電子商務行業提供的文字分析解決方案可讓您處理和分析來自多個來源的文字資料。它可以將評級、提案、社交媒體貼文、新聞等轉化為可操作的見解。公司可以傾聽客戶的意見，了解他們的需求和厭惡，並將他們轉變為有針對性的資訊來源以進行改進。
  • 此外，它還可以幫助客戶和企業比較所有競爭解決方案和產品，並檢查它們彼此之間的差距。然後利用這些見解來識別相似的特性，並將您的產品與競爭對手的產品區分開來。
  • 零售商正在利用文字分析並使用社交媒體平台作為主要資料來源來預測供需並增強客戶體驗。購物體驗是決定網路商店銷售的關鍵因素之一。電子商務公司現在可以透過文字分析應用程式與頂級線上零售商競爭，這是一種快速有效地了解用戶對網路商店的感受和考慮購買的方式。
  • 零售商需要將人工智慧與檢測意圖和規定有針對性的回應所需的洞察力相結合。零售商需要集中存取 IT、行銷、銷售、客服中心和第三方來源的大量孤立資料，以識別客戶的行為、需求和需求。
  • 電子商務行業正在全球範圍內發展，許多小型企業正在市場上湧現，從而增加了對文字分析解決方案提供者的需求。例如，美國人口普查局於2022年11月公佈的2022年第三季美國零售電商銷售額預計為2,659億美元，較2022年第二季成長3%。
  • 此文本分析軟體可幫助零售商了解客戶行為、需求、需求模式和客戶情緒的變化。它還有助於做出資料主導的決策來改善客戶服務。

北美佔據主要市場佔有率

  • 由於 BFSI、零售和醫療保健等終端用戶行業擴大採用文字分析解決方案，美國成為北美地區的領先市場。該地區一直是採用先進技術的先驅，推動了市場成長。
  • 預計對人工智慧和機器學習等新興技術的投資將增加，從而創造市場空間。此外，美國在文本分析供應商方面擁有強大的立足點，促進了市場的成長。 IBM 公司、SAS Institute Inc.、Luminoso Technologies Inc.、微軟公司等。
  • 該地區由世界兩個最大已開發經濟體美國和加拿大組成。在美國，醫療保健產業的數位化是一種趨勢，為文字分析市場創造了商機，因為它可以向醫療保健公司提供有價值的見解並改善客戶服務。
  • 例如，2022 年 12 月，坦帕綜合醫院和為現代企業開發作業系統的公司 Palantir Technologies Inc. 宣佈建立合作夥伴關係，透過互聯醫院平台部署資料和分析，以促進卓越營運、研究和臨床護理。以加強對患者照護。透過此次合作，坦帕總醫院將使用 Palantir Foundry 作為其資料平台的基礎，並利用其 AI 功能來支持關鍵的現場決策，從而進一步實現成為美國創造性和安全性的學術醫療系統的目標。
  • 此外，該地區的學術機構也正在加入文字探勘工作。例如在美國，加州大學柏克萊分校資訊學院正在開發一個名為「BioText」的項目，協助生物學研究人員進行文字探勘和分析。

文本分析行業概覽

文本分析市場是一個擁有多個參與者的活躍市場。一些主要企業包括： IBM 公司和 SAP SE 佔據市場主導地位。

  • 2023 年 5 月—Google宣布對其 Workspace 辦公室工具和應用程式套件進行一系列基於人工智慧的升級，以便業務團隊可以合作進行計劃。該公司還推出了 Duet AI，它可以幫助在 Gmail 和 Google Docs 中撰寫文章，以及為類似 PowerPoint 的幻燈片簡報程式 Slides 產生圖像。此外，您也可以在視訊會議服務 Google Meet 上摘要對話。
  • 2022 年 9 月－AppTek 和 expert.ai 達成策略技術合作，將基於 AI 的文字分析應用於多語言動態音訊資料。此次合作將 expert.ai 的自然語言理解 (NLU) 功能與 AppTek 在自動語音辨識(ASR) 和神經機器翻譯 (NMT) 技術方面的領先地位相結合，為企業管理的非結構化資料集提供業務洞察。

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

  • 研究假設和市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場概況

  • 市場概況
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手之間的競爭
  • 產業價值鏈分析
  • COVID-19 市場影響

第5章 市場動態

  • 市場促進因素
    • 社群媒體分析需求不斷成長
    • 預測分析實踐的興起
  • 市場限制
    • 缺乏熟練的人力和意識

第6章 市場細分

  • 按部署
    • 本地
    • 雲
  • 按應用
    • 風險管理
    • 欺詐管理
    • 商業智慧
    • 社群媒體分析
    • 顧客關懷服務
  • 按最終用戶產業
    • BFSI
    • 衛生保健
    • 能源與公共產業
    • 零售與電子商務
    • 其他最終用戶產業
  • 按地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲

第7章 競爭格局

  • 公司簡介
    • IBM Corporation
    • Microsoft Corporation
    • SAP SE
    • SAS Institute Inc.
    • Lexalytics Inc.
    • Luminoso Technologies Inc.
    • Clarabridge Inc.
    • Micro Focus International PLC
    • OpenText Corporation
    • RapidMiner Inc.
    • Infegy Inc.
    • Medallia Inc.

第8章投資分析

第9章：市場的未來

簡介目錄
Product Code: 46895

The Text Analytics Market size is estimated at USD 14.68 billion in 2025, and is expected to reach USD 78.65 billion by 2030, at a CAGR of 39.9% during the forecast period (2025-2030).

Text Analytics - Market - IMG1

Many cloud-based applications use text analytics, including predictive analytics, fraud management, risk management, business intelligence, and cybercrime prevention.

Key Highlights

  • Organizations increasingly use text analytics tools to aid their business-making process by offering actionable insights from various text sources, such as client interaction, e-mails, blogs, product reviews, tweets, and center logs. The main purpose of text analytics is to collect data from different forms of data, including unstructured and structured, which are further utilized for analysis, benefitting the organization's business decisions and driving the market.
  • Text analytics's primary benefits include cost reduction, enhanced processing speed, integration of big data, and better consistency. The generation of unstructured data through users' tweets and e-mails is becoming increasingly popular due to the digitalization of buying. This information is bundled by organizations to understand consumer behavior toward the company and its products, which adds value to the firm's growth.
  • According to Mongo DB, a Data management service provider, unstructured data makes up between 80% and 90% of the data that enterprises generate and gather, and its volumes are expanding quickly. Data comes in various formats, from numeric, structured data in traditional databases to unstructured text documents, such as videos, audio, e-mails, stock ticker data, and financial transactions. These data can be used for text analysis to give valuable insights to organizations, which will drive the market worldwide.
  • Gold-standard data are rarely available in industrial settings, which furthers the challenges in evaluating the effectiveness of the developed TA techniques. Evaluating the results of TA techniques can be particularly difficult due to the subjectivity inherent in some applications, such as sentiment analysis, text classification, and text clustering, which is a challenge to the Text Analysis Market growth.
  • Moreover, several leading players are focusing on introducing new text analytics platforms to gain a competitive advantage in the market. For instance, in November 2022, the Australian Text Analytics Platform (ATAP) was launched to provide an open-source platform of tools and training for researchers to process, analyze, and explore text. Australian researchers will get access to an ecosystem of data and code repositories, scripts, online workspaces, and training in text analytics.
  • The rising demand for machine learning and big data analytics is expected to propel the text analytics market across the globe. COVID-19 has had a positive impact on the market because it has increased the demand for text analytics further as people continue to work from home and heavily use social media platforms and e-mails to interact with brands.

Text Analytics Market Trends

Retail and E-commerce to Hold a Significant Share in Text Analytics Market

  • In retail, text analytics plays an important role in analyzing customer behavior and predicting consumer nature, which is likely to drive the market in the industry. By adopting text analytics, organizations can provide personalized schemes and discounts to their customers using their historical trends.
  • Text analytics solutions for retailers and the e-commerce industry allow to process and analyze text data from multiple sources. Turn ratings, suggestions, social media posts, news, and more into actionable insights. The organizations listen to customers, understand their needs and dislikes, and turn them into targeted sources of improvement.
  • Furthermore, it helps customers and companies to compare all competitive solutions and products and check how close they are to each other. And identify similar features and use the insights to differentiate their offering as compared to competitors.
  • Retailers use social media platforms as a key source to acquire data to utilize text analytics, anticipate demand and supply, and enhance the customer experience. The shopping experience is one of the important factors in online merchants' sales. E-commerce companies are prioritizing shopping experiences to compete with the top online retailers through Text analytics applications because it is a quick and effective method for discovering how users feel and consider purchasing from online stores.
  • Retailers need the integration of insights and A.I. necessary for perceiving intent and prescribing targeted responses. Retail companies need to centralize access to vast amounts of data siloed across I.T., marketing, sales, call centers, and third-party sources to identify their customers' behaviors, wants, and needs.
  • The e-commerce industry is growing worldwide, and many small-scale companies are emerging in the market, which is creating a demand for text analysis solution providers because of its application for the e-commerce business growth by offering products more accurately according to the customers' demand. For example, in November 2022, the U.S. Census Bureau estimated that the U.S. retail e-commerce sales for the third quarter of 2022 were USD 265.9 billion, which increased by 3% from the second quarter of 2022.
  • This text analysis software enables the retailer to understand the shift toward customers' behavior, their demands, the pattern of what they need, and customers' emotions. Moreover, it helps to make data-driven decisions for enhancing customer services.

North America to Execute a Significant Market Share

  • The United States is a prominent market in the North American region due to the growing adoption of text analytics solutions across end-user industries, such as BFSI, retail, and healthcare. The region is a pioneer in adopting advanced technologies, thereby driving the market's growth.
  • The rising investments in emerging technologies, like AI and machine learning, are expected to create scope for the market. Additionally, the United States has a strong foothold on text analytics vendors, contributing to the market's growth. Some include IBM Corporation, SAS Institute Inc., Luminoso Technologies Inc., and Microsoft Corporation.
  • The region consists of two major developed economies of the world such as the USA and Canada. In the USA, the digitalization of the healthcare industry is trending and creating an opportunity for the text analytics market because of its application in providing valuable insights to healthcare companies to better their customer services.
  • For instance, in December 2022, Tampa General Hospital and Palantir Technologies Inc, a developer of operating systems for the contemporary enterprise, partnered to enhance patient care by deploying data and analytics through a connected hospital platform aimed at fostering excellence in operational, research, and clinical care. Through this collaboration, Tampa General would use Palantir Foundry as the basis of its data platform, harnessing AI capabilities to support crucial frontline decision-making and advancing its goal of becoming a creative and safe academic health system in the country.
  • Additionally, academic institutions have become involved in the text mining initiative in the region. For instance, in the United States, the University of California, Berkeley School of Information is developing a program, BioText, to assist biology researchers in text mining and analysis.

Text Analytics Industry Overview

The text analytics market is a propelling market with several players. However, major players such as IBM Corporation and SAP SE dominate the market. Therefore, the market is consolidated.

  • May 2023 - Google announced various AI-based upgrades to the Workspace suite of office tools and applications for business teams to collaborate on projects. The company also announced Duet AI, to offer assistance in writing text in Gmail and Google Docs and image generation for Slides, a PowerPoint-like slide presentation program. Further, it can also summarize conversations on Google Meet, a video conferencing service.
  • September 2022 - A strategic technology cooperation between AppTek and expert.ai was launched to apply AI-based text analytics to dynamic audio material in many languages. The partnership combines expert.ai's natural language understanding (NLU) capabilities with AppTek's leadership in automatic speech recognition (ASR) and neural machine translation (NMT) technologies to give organizations the ability to use audio content in the unstructured data sets they manage for enhancing intelligent automation and improving decision-making.

Additional Benefits:

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

TABLE OF CONTENTS

1 INTRODUCTION

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

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGTHS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Buyers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitute Product
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Industry Value Chain Analysis
  • 4.4 Impact of COVID-19 on the Market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growing Demand for Social Media Analytics
    • 5.1.2 Rising Practice of Predictive Analytics
  • 5.2 Market Restraints
    • 5.2.1 Lack of Skilled Personnel and Awareness

6 MARKET SEGMENTATION

  • 6.1 By Deployment
    • 6.1.1 On-premise
    • 6.1.2 Cloud
  • 6.2 By Application
    • 6.2.1 Risk Management
    • 6.2.2 Fraud Management
    • 6.2.3 Business Intelligence
    • 6.2.4 Social Media Analysis
    • 6.2.5 Customer Care Services
  • 6.3 By End-User Industry
    • 6.3.1 BFSI
    • 6.3.2 Healthcare
    • 6.3.3 Energy and Utility
    • 6.3.4 Retail and E-commerce
    • 6.3.5 Other End User Industries
  • 6.4 By Geography
    • 6.4.1 North America
    • 6.4.2 Europe
    • 6.4.3 Asia Pacific
    • 6.4.4 Latin America
    • 6.4.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 IBM Corporation
    • 7.1.2 Microsoft Corporation
    • 7.1.3 SAP SE
    • 7.1.4 SAS Institute Inc.
    • 7.1.5 Lexalytics Inc.
    • 7.1.6 Luminoso Technologies Inc.
    • 7.1.7 Clarabridge Inc.
    • 7.1.8 Micro Focus International PLC
    • 7.1.9 OpenText Corporation
    • 7.1.10 RapidMiner Inc.
    • 7.1.11 Infegy Inc.
    • 7.1.12 Medallia Inc.

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET