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市场调查报告书
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1432370

文本分析 -市场占有率分析、产业趋势与统计、成长预测（2024-2029）

Text 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

文本分析市场规模预计到 2024 年为 104.9 亿美元，预计到 2029 年将达到 562.4 亿美元，在预测期内（2024-2029 年）复合年增长率为 39.90%。

文字分析 - 市场

许多云端基础的应用程式使用文字分析进行预测分析、诈欺管理、风险管理、商业智慧、网路犯罪预防等。

主要亮点

  • 组织越来越多地使用文字分析工具来帮助其业务建立流程，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。文本分析的主要目的是从各种格式的资料中收集资料，包括非结构化和结构化资料，并进一步利用它进行分析，以有利于组织的业务决策，扩大资料，是为了推广。
  • 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。随着采购的数位化，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。这些资讯由组织编制，旨在了解消费者对公司及其产品的行为，从而为公司的发展付加价值。
  • 根据资料管理服务供应商Mongo DB的数据，企业产生和收集的资料中有80%到90%是非结构化资料，而且数量正在快速成长。资料有多种格式，从传统资料库中的数位结构化资料到视讯、音讯、电子邮件、股票行情资料和金融交易等非结构化文字文件。这些资料用于文本分析，为组织提供宝贵的见解并推动全球市场的发展。
  • 工业环境中很少有黄金标准资料，这进一步增加了评估已开发的技术分析技术有效性的挑战。由于情感分析、文本分类和文本丛集等某些应用程式固有的主观性，评估 TA 技术的结果可能特别困难，这对文本分析市场的成长构成了挑战。我是。
  • 此外，一些领先的公司正在专注于实施新的文字分析平台，以在市场上获得竞争优势。例如，2022 年 11 月，澳洲文本分析平台 (ATAP) 推出，为研究人员处理、分析和探索文本提供一个开放原始码工具和培训平台。澳洲研究人员将可以存取资料和程式码储存库、脚本、线上工作空间和文字分析培训的生态系统。
  • 对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。 COVID-19感染疾病对市场产生了积极影响，因为人们继续在家工作并严重依赖社交媒体平台和电子邮件与品牌互动，对文字分析的需求进一步增加。

文字分析市场趋势

零售和电子商务在文字分析市场中占据主要份额

  • 在零售业，文本分析在分析客户行为和预测消费者倾向方面发挥重要作用，预计将推动该行业的市场发展。透过使用文字分析，组织可以利用过去的趋势向客户提供个人化方案和折扣。
  • 适用于零售和电子商务行业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。将评分、提案、社群媒体贴文、新闻等转化为可行的洞见。组织倾听客户的声音，了解他们的需求和厌恶，并将其转化为有针对性的改进的来源。
  • 此外，它还可以帮助客户和企业比较所有竞争的解决方案和产品，并了解它们之间的接近程度。此外，识别相似的功能并利用这种洞察力使您的服务与竞争对手相比脱颖而出。
  • 零售商使用社群媒体平台作为主要资料来源，以利用文字分析、预测供需并改善客户体验。购物体验是网路卖家销售的关键因素之一。电子商务公司正在优先考虑购物体验，以便透过文字分析应用程式与顶级线上零售商竞争。这是因为它是一种快速有效的方式来了解用户对网路商店的感受以及正在考虑购买的情况。
  • 零售商需要洞察力和人工智慧整合来识别意图并制定有针对性的回应。零售公司需要集中存取 IT、行销、销售、客服中心和第三方来源中的大量资料，以识别客户的行为、需求和需求。
  • 电子商务产业在世界各地不断发展，许多小型企业正在进入市场，文字分析解决方案供应商正在创造对电子商务分析解决方案供应商的需求。这对文字分析解决方案供应商产生了需求。客户要求。例如，2022年11月，美国人口普查局预计，2022年第三季美国零售电商销售额为2,659亿美元，较2022年第二季成长3%。
  • 此文本分析软体使零售商能够了解客户的行为、需求、需求模式和客户情绪的变化。此外，它还可以帮助您做出资料驱动的决策，以增强客户服务。

北美获得主要市场占有率

  • 由于 BFSI、零售和医疗保健等最终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突出市场。该地区是采用先进技术的先驱，从而推动了市场的成长。
  • 增加对人工智慧和机器学习等新兴技术的投资预计将为市场创造空间。此外，美国在文本分析供应商方面拥有强大的立足点，为市场成长做出了贡献。其中包括 IBM Corporation、SAS Institute Inc.、Luminoso Technologies Inc. 和 Microsoft Corporation。
  • 该地区由美国和加拿大等世界主要已开发国家组成。医疗保健产业的数位化是美国的一种趋势，透过应用文字分析为医疗保健公司提供有价值的见解以改善客户服务，为文字分析市场创造了机会。
  • 例如，2022 年 12 月，坦帕综合医院和现代企业操作系统开发商连网型 Technologies 合作，透过互联医院平台提供资料，旨在促进卓越运营、研究和服务以及分析，以增强患者照护。临床护理。透过此次合作，坦帕综合医院将使用 Palantir Foundry 作为其资料平台的基础，利用人工智慧功能来支持关键的一线决策，并在全国建立一个创造性且安全的学术医疗系统。我们推动这一目标的实现。
  • 此外，学术机构也开始参与该地区的文字探勘工作。例如，在美国，加州大学柏克莱分校资讯学院开发了BioText，这是一个帮助生物研究人员进行文字探勘和分析的程式。

文本分析产业概述

文本分析市场是一个有多个参与者参与的驱动市场。然而，IBM 公司和 SAP SE 等大型企业占据了市场主导地位。因此，市场将会整合。

  • 2023 年 5 月 - 谷歌宣布对其 Workspace 办公室工具和应用程式套件进行各种基于人工智慧的升级，供业务团队进行计划协作。该公司还发布了 Duet AI，它可以帮助在 Gmail 和 Google Docs 中创建文本，并在 Slides 中生成图像，Slides 是一种类似于 PowerPoint 的幻灯片简报程式。此外，您还可以摘要视讯会议服务「Google Meet」上的对话。
  • 2022 年 9 月 - AppTek 和 Expert.ai 之间的策略技术合作开始将基于人工智慧的文本分析应用于多种语言的动态音讯材料。此次合作将 Expert.ai 的自然语言理解 (NLU) 能力与 AppTek 在自动语音辨识(ASR) 和神经机器翻译 (NMT)资料集方面的领先地位相结合，以改进使用音讯内容来增强智慧并实现自动化和改进决策。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

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
    • 买方议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争公司之间敌对关係的强度
  • 产业价值链分析
  • COVID-19 对市场的影响

第五章市场动态

  • 市场驱动因素
    • 对社群媒体分析的需求不断增长
    • 预测分析实践的兴起
  • 市场限制因素
    • 缺乏熟练的人力资源和意识

第六章市场区隔

  • 按配置
    • 本地
    • 云
  • 按用途
    • 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/公共产业
    • 零售/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/非洲

第七章 竞争形势

  • 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9章市场的未来

简介目录
Product Code: 46895

The Text Analytics Market size is estimated at USD 10.49 billion in 2024, and is expected to reach USD 56.24 billion by 2029, growing at a CAGR of 39.90% during the forecast period (2024-2029).

Text Analytics - Market

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