文本分析：市场占有率分析、产业趋势与统计、成长预测（2025-2030）

文本分析市场在 2025 年的价值预估为 146.8 亿美元，预计到 2030 年将达到 786.5 亿美元，预测期内（2025-2030 年）的复合年增长率为 39.9%。

许多云端基础的应用程式使用文字分析，包括预测分析、欺诈管理、风险管理、商业智慧和网路犯罪预防。

主要亮点

• 企业越来越多地使用文字分析工具来协助业务决策流程，透过从各种文字来源（例如客户互动、电子邮件、部落格、产品评论、推文和中心日誌）提供可操作的见解。文字分析的主要目的是收集各种格式的资料，包括非结构化和结构化资料，并对其进行进一步分析，以帮助组织做出业务决策并资料市场绩效。
• 文字分析的主要好处包括降低成本、提高处理速度、巨量资料整合和提高一致性。由于采购的数位化，透过使用者推文和电子邮件产生非结构化资料变得越来越普遍。这些资讯被绑在一起，帮助企业了解消费者对企业和产品的行为，为企业的成长增加价值。
• 据资料管理服务供应商Mongo DB称，非结构化资料占企业产生和收集的资料的80%至90%，而且这一数量还在快速成长。资料有多种形式，从传统资料库中的数位和结构化资料到非结构化文字文檔，如影片、音讯、电子邮件、股票行情资料和金融交易。利用这些资料进行文字分析可以为组织提供有价值的见解，从而推动全球市场的发展。
• 工业环境中很少有黄金标准资料，这增加了评估发达的技术评估技术有效性的挑战。评估 TA 技术的结果尤其困难，因为某些应用（例如情绪分析、文本分类和文本丛集）固有的主观性，对文本分析市场的成长构成了挑战。
• 此外，一些领先的公司正专注于采用新的文字分析平台以获得市场竞争优势。例如，澳洲文本分析平台 (ATAP) 于 2022 年 11 月推出，为研究人员提供处理、分析和探索文本的工具和培训开放原始码平台。澳洲研究人员将可以存取资料和程式码储存库、脚本、线上工作区和文字分析培训的生态系统。
• 机器学习和巨量资料分析的需求不断增长预计将推动全球文本分析市场的发展。随着人们继续在家工作并透过社群媒体平台和电子邮件与品牌进行大量互动，COVID-19 对市场产生了积极影响，因为它进一步增加了对文字分析的需求。

文字分析市场趋势

零售与电子商务主导文字分析市场

• 在零售业，文字分析在分析顾客行为和预测消费趋势方面发挥着至关重要的作用，这可能会推动该行业市场的发展。文字分析可以帮助企业利用客户过去的行为为他们提供个人化的优惠和折扣。
• 我们针对零售和电子商务行业提供的文字分析解决方案可让您处理和分析来自多个来源的文字资料。它可以将评级、提案、社交媒体贴文、新闻等转化为可操作的见解。公司可以倾听客户的意见，了解他们的需求和厌恶，并将他们转变为有针对性的资讯来源以进行改进。
• 此外，它还可以帮助客户和企业比较所有竞争解决方案和产品，并检查它们彼此之间的差距。然后利用这些见解来识别相似的特性，并将您的产品与竞争对手的产品区分开来。
• 零售商正在利用文字分析并使用社交媒体平台作为主要资料来源来预测供需并增强客户体验。购物体验是决定网路商店销售的关键因素之一。电子商务公司现在可以透过文字分析应用程式与顶级线上零售商竞争，这是一种快速有效地了解用户对网路商店的感受和考虑购买的方式。
• 零售商需要将人工智慧与检测意图和规定有针对性的回应所需的洞察力相结合。零售商需要集中存取 IT、行销、销售、客服中心和第三方来源的大量孤立资料，以识别客户的行为、需求和需求。
• 电子商务行业正在全球范围内发展，许多小型企业正在市场上涌现，从而增加了对文字分析解决方案提供者的需求。例如，美国人口普查局于2022年11月公布的2022年第三季美国零售电商销售额预计为2,659亿美元，较2022年第二季成长3%。
• 此文本分析软体可帮助零售商了解客户行为、需求、需求模式和客户情绪的变化。它还有助于做出资料主导的决策来改善客户服务。

北美占据主要市场占有率

• 由于 BFSI、零售和医疗保健等终端用户行业越来越多地采用文字分析解决方案，美国成为北美地区的领先市场。该地区一直是采用先进技术的先驱，推动了市场成长。
• 预计对人工智慧和机器学习等新兴技术的投资将增加，从而创造市场空间。此外，美国在文本分析供应商方面拥有强大的立足点，促进了市场的成长。 IBM 公司、SAS Institute Inc.、Luminoso Technologies Inc.、微软公司等。
• 该地区由世界两个最大已开发经济体美国和加拿大组成。在美国，医疗保健产业的数位化是一种趋势，为文字分析市场创造了商机，因为它可以向医疗保健公司提供有价值的见解并改善客户服务。
• 例如，2022 年 12 月，坦帕综合医院和为现代企业开发作业系统的公司 Palantir Technologies Inc. 宣布建立合作伙伴关係，透过互联医院平台部署资料和分析，以促进卓越营运、研究和临床护理。以加强对患者照护。透过此次合作，坦帕总医院将使用 Palantir Foundry 作为其资料平台的基础，并利用其 AI 功能来支持关键的现场决策，从而进一步实现成为美国创造性和安全性的学术医疗系统的目标。
• 此外，该地区的学术机构也正在加入文字探勘工作。例如在美国，加州大学柏克莱分校资讯学院正在开发一个名为「BioText」的项目，协助生物学研究人员进行文字探勘和分析。

文本分析行业概览

文本分析市场是一个拥有多个参与者的活跃市场。一些主要企业包括： IBM 公司和 SAP SE 占据市场主导地位。

• 2023 年 5 月—Google宣布对其 Workspace 办公室工具和应用程式套件进行一系列基于人工智慧的升级，以便业务团队可以合作进行计划。该公司还推出了 Duet AI，它可以帮助在 Gmail 和 Google Docs 中撰写文章，以及为类似 PowerPoint 的幻灯片简报程式 Slides 产生图像。此外，您也可以在视讯会议服务 Google Meet 上摘要对话。
• 2022 年 9 月－AppTek 和 expert.ai 达成策略技术合作，将基于 AI 的文字分析应用于多语言动态音讯资料。此次合作将 expert.ai 的自然语言理解 (NLU) 功能与 AppTek 在自动语音辨识(ASR) 和神经机器翻译 (NMT) 技术方面的领先地位相结合，为企业管理的非结构化资料集提供业务洞察。

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

• 研究假设和市场定义
• 研究范围

第二章调查方法

第三章执行摘要

第四章 市场概况

• 市场概况
• 产业吸引力－波特五力分析
  • 供应商的议价能力
  • 买家的议价能力
  • 新进入者的威胁
  • 替代品的威胁
  • 竞争对手之间的竞争
• 产业价值链分析
• COVID-19 市场影响

第五章 市场动态

• 市场驱动因素
  • 社群媒体分析需求不断增长
  • 预测分析实践的兴起
• 市场限制
  • 缺乏熟练的人力和意识

第六章 市场细分

• 按部署
  • 本地
  • 云
• 按应用
  • 风险管理
  • 欺诈管理
  • 商业智慧
  • 社群媒体分析
  • 顾客关怀服务
• 按最终用户产业
  • BFSI
  • 卫生保健
  • 能源与公共产业
  • 零售与电子商务
  • 其他最终用户产业
• 按地区
  • 北美洲
  • 欧洲
  • 亚太地区
  • 拉丁美洲
  • 中东和非洲

第七章 竞争格局

• 公司简介
  • 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.

第八章投资分析

第九章：市场的未来

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).

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