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市場調查報告書
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1432370

文本分析 -市場佔有率分析、產業趨勢與統計、成長預測（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個工作天內

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簡介目錄

文本分析市場規模預計到 2024 年為 104.9 億美元，預計到 2029 年將達到 562.4 億美元，在預測期內（2024-2029 年）複合年成長率為 39.90%。

文字分析 - 市場

許多雲端基礎的應用程式使用文字分析進行預測分析、詐欺管理、風險管理、商業智慧、網路犯罪預防等。

主要亮點

  • 組織擴大使用文字分析工具來幫助其業務建立流程，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。文本分析的主要目的是從各種格式的資料中收集資料，包括非結構化和結構化資料，並進一步利用它進行分析，以有利於組織的業務決策，擴大資料，是為了推廣。
  • 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。隨著採購的數位化，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。這些資訊由組織編制，旨在了解消費者對公司及其產品的行為，從而為公司的發展付加價值。
  • 根據資料管理服務供應商Mongo DB的數據，企業產生和收集的資料中有80%到90%是非結構化資料，而且數量正在快速成長。資料有多種格式，從傳統資料庫中的數位結構化資料到視訊、音訊、電子郵件、股票行情資料和金融交易等非結構化文字文件。這些資料用於文本分析，為組織提供寶貴的見解並推動全球市場的發展。
  • 工業環境中很少有黃金標準資料，這進一步增加了評估已開發的技術分析技術有效性的挑戰。由於情感分析、文本分類和文本叢集等某些應用程式固有的主觀性，評估 TA 技術的結果可能特別困難，這對文本分析市場的成長構成了挑戰。
  • 此外，一些領先的公司正在專注於實施新的文字分析平台，以在市場上獲得競爭優勢。例如，2022 年 11 月，澳洲文本分析平台 (ATAP) 推出，為研究人員處理、分析和探索文本提供一個開放原始碼工具和培訓平台。澳洲研究人員將可以存取資料和程式碼儲存庫、腳本、線上工作空間和文字分析培訓的生態系統。
  • 對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。 COVID-19感染疾病對市場產生了積極影響，因為人們繼續在家工作並嚴重依賴社交媒體平台和電子郵件與品牌互動，對文字分析的需求進一步增加。

文字分析市場趨勢

零售和電子商務在文字分析市場中佔據主要佔有率

  • 在零售業，文本分析在分析客戶行為和預測消費者傾向方面發揮重要作用，預計將推動該行業的市場發展。透過使用文字分析，組織可以利用過去的趨勢向客戶提供個人化方案和折扣。
  • 適用於零售和電子商務行業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。將評分、提案、社群媒體貼文、新聞等轉化為可行的洞見。組織傾聽客戶的聲音，了解他們的需求和厭惡，並將其轉化為有針對性的改進的來源。
  • 此外，它還可以幫助客戶和企業比較所有競爭的解決方案和產品，並了解它們之間的接近程度。此外，識別相似的功能並利用這種洞察力使您的服務與競爭對手相比脫穎而出。
  • 零售商使用社群媒體平台作為主要資料來源，以利用文字分析、預測供需並改善客戶體驗。購物體驗是網路賣家銷售的關鍵因素之一。電子商務公司正在優先考慮購物體驗，以便透過文字分析應用程式與頂級線上零售商競爭。這是因為它是一種快速有效的方式來了解用戶對網路商店的感受以及正在考慮購買的情況。
  • 零售商需要洞察力和人工智慧整合來識別意圖並制定有針對性的回應。零售公司需要集中存取 IT、行銷、銷售、客服中心和第三方來源中的大量資料，以識別客戶的行為、需求和需求。
  • 電子商務產業在世界各地不斷發展，許多小型企業正在進入市場，文字分析解決方案供應商正在創造對電子商務分析解決方案供應商的需求。這對文字分析解決方案供應商產生了需求。客戶要求。例如，2022年11月，美國人口普查局預計，2022年第三季美國零售電商銷售額為2,659億美元，較2022年第二季成長3%。
  • 此文本分析軟體使零售商能夠了解客戶的行為、需求、需求模式和客戶情緒的變化。此外，它還可以幫助您做出資料驅動的決策，以增強客戶服務。

北美獲得主要市場佔有率

  • 由於 BFSI、零售和醫療保健等最終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突出市場。該地區是採用先進技術的先驅，從而推動了市場的成長。
  • 增加對人工智慧和機器學習等新興技術的投資預計將為市場創造空間。此外，美國在文本分析供應商方面擁有強大的立足點，為市場成長做出了貢獻。其中包括 IBM Corporation、SAS Institute Inc.、Luminoso Technologies Inc. 和 Microsoft Corporation。
  • 該地區由美國和加拿大等世界主要已開發國家組成。醫療保健產業的數位化是美國的一種趨勢，透過應用文字分析為醫療保健公司提供有價值的見解以改善客戶服務，為文字分析市場創造了機會。
  • 例如，2022 年 12 月，坦帕綜合醫院和現代企業操作系統開發商連網型 Technologies 合作，透過互聯醫院平台提供資料，旨在促進卓越營運、研究和服務以及分析，以增強患者照護。臨床護理。透過此次合作，坦帕綜合醫院將使用 Palantir Foundry 作為其資料平台的基礎，利用人工智慧功能來支持關鍵的一線決策，並在全國建立一個創造性且安全的學術醫療系統。我們推動這一目標的實現。
  • 此外，學術機構也開始參與該地區的文字探勘工作。例如，在美國，加州大學柏克萊分校資訊學院開發了BioText，這是一個幫助生物研究人員進行文字探勘和分析的程式。

文本分析產業概述

文本分析市場是一個有多個參與者參與的驅動市場。然而，IBM 公司和 SAP SE 等大型企業佔據了市場主導地位。因此，市場將會整合。

  • 2023 年 5 月 - 谷歌宣布對其 Workspace 辦公室工具和應用程式套件進行各種基於人工智慧的升級，供業務團隊進行計劃協作。該公司還發布了 Duet AI，它可以幫助在 Gmail 和 Google Docs 中創建文本，並在 Slides 中生成圖像，Slides 是一種類似於 PowerPoint 的幻燈片簡報程式。此外，您還可以摘要視訊會議服務「Google Meet」上的對話。
  • 2022 年 9 月 - AppTek 和 Expert.ai 之間的策略技術合作開始將基於人工智慧的文本分析應用於多種語言的動態音訊材料。此次合作將 Expert.ai 的自然語言理解 (NLU) 能力與 AppTek 在自動語音辨識(ASR) 和神經機器翻譯 (NMT)資料集方面的領先地位相結合，以改進使用音訊內容來增強智慧並實現自動化和改進決策。

其他福利

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

目錄

第1章簡介

  • 研究假設和市場定義
  • 調查範圍

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
    • 買方議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭公司之間敵對關係的強度
  • 產業價值鏈分析
  • COVID-19 對市場的影響

第5章市場動態

  • 市場促進因素
    • 對社群媒體分析的需求不斷成長
    • 預測分析實踐的興起
  • 市場限制因素
    • 缺乏熟練的人力資源和意識

第6章市場區隔

  • 按配置
    • 本地
    • 雲
  • 按用途
    • 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/公共產業
    • 零售/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/非洲

第7章 競爭形勢

  • 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 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