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市场调查报告书
商品编码
1819865
2025 年至 2033 年文本分析市场报告(按部署模式、组织规模、应用程式、最终用户和地区)Text Analytics Market Report by Deployment Model, Organization Size, Application, End User, and Region 2025-2033 |
2024年,全球文本分析市场规模达101亿美元。展望未来, IMARC Group预计到2033年,该市场规模将达到355亿美元,2025-2033年期间的复合年增长率(CAGR)为15%。推动市场发展的因素多种多样,包括巨量资料分析和人工智慧(AI)的日益普及、社交媒体使用率的不断提升、云端运算的日益受重视以及自然语言处理(NLP)技术的进步。
社群媒体使用率不断上升
根据 Datareportal 的数据,截至 2024 年 7 月初,全球社群媒体用户约为 51.7 亿。对于希望更了解社群媒体平台上目标用户的公司来说,用户产生的素材正成为越来越宝贵的资源。考虑到社群媒体平台上每天发布的数十亿条贴文、评论、评价和对话,企业现在可以存取大量非结构化即时资料。然而,这些资料的庞大数量使得手动处理和分析几乎不可行。文本分析为企业提供了从其素材中提取有意义见解的方法。
大数据和人工智慧(AI)的采用日益增多
2023 年 8 月 31 日,IBM 和 Salesforce 携手协助企业加速采用人工智慧进行客户关係管理 (CRM)。这类公司支援客户彻底改变客户、合作伙伴和员工体验,同时帮助保护他们的资料。对巨量资料和人工智慧日益增长的需求为文字分析市场带来了良好的前景。由于人工智慧和机器学习 (ML) 技术的存在,电脑现在可以自动识别模式、提取含义并从文字材料中产生洞察,而这些是人工无法研究的。文字分析将非结构化资料转换为结构化洞察,使企业能够做出资料驱动的决策。组织还可以透过检查使用者评价和评论来识别使用者经常要求的重复出现的问题或功能。然后,这些资讯可用于指导未来的产品增强。
云端运算的普及率不断提高
对云端运算的日益关注以及连网设备的普及是文字分析市场成长的主要驱动力。云端运算使企业能够根据自身需求轻鬆扩展其文字分析功能。处理大量非结构化资料(例如社交媒体内容、电子邮件或客户回馈)的组织可以按需处理资料,而无需在实体基础设施上投入大量资金。云端平台提供灵活的储存和运算能力,使企业能够即时分析大型资料集。根据IMARC Group预测,到 2032 年,全球公有云市场规模将达到 3.9,342 兆美元,2024-2032 年期间的复合年增长率为 19.9%。
本地部署占大部分市场份额
透过将敏感资料保存在组织的基础架构中,本地部署能够更好地控制这些数据,这对于确保遵守监管框架至关重要。对合规性有严格要求的公司更倾向于本地部署解决方案,以降低云端环境中可能发生的资料外洩或未经授权存取的风险。本地部署解决方案为企业提供了更高层级的客製化,并使其能够更好地控制所使用的文字分析工具。组织可以根据其特定的营运需求客製化软体,这对于工作流程复杂的大型企业尤其重要。这些优势预计将为文本分析市场带来正面的预测。
大型企业占产业最大份额
大型企业每天都会产生并处理大量资料来自客户互动、社群媒体平台、内部沟通以及外部文件。这些组织需要强大的工具来处理这些非结构化资料并从中提取可操作的洞察,从而为业务策略和决策流程提供资讯。这些企业通常拥有充足的资源和预算,可以投资于先进且全面的文本分析解决方案。他们致力于应用尖端技术,以提高分析大量资料集的能力,并获得竞争优势。
客户关係管理代表着领先的细分市场
客户关係管理 (CRM) 高度依赖文字分析来分析使用者在社群媒体、聊天记录、电子邮件和客户评论等多个管道的互动。企业可以透过从各种非结构化资料来源获取洞察,更深入地了解用户的需求、偏好和要求。他们可以透过客製化服务和行销方法来更好地满足用户的期望。他们还可以使用文字分析根据紧急程度对特定问题和评论进行分类和排序。
快速消费品(FMCG)在市场上占据明显主导地位
快速消费品 (FMCG) 公司通常会透过各种管道(包括社群媒体、产品评论、问捲和客户服务互动)接收大量使用者回馈。文字分析可帮助这些公司分析这些回馈,以了解个人偏好、满意度和产品表现。在竞争激烈的快速消费品产业,品牌声誉至关重要。文字分析使公司能够即时监控品牌情绪并追踪大众认知。透过分析社群媒体和评论平台上的提及和讨论,快速消费品品牌可以快速识别潜在问题或危机,并采取纠正措施来维护其声誉。
北美引领市场,占据最大的文本分析市场份额
该报告还对所有主要区域市场进行了全面分析,包括北美(美国和加拿大);亚太地区(中国、日本、印度、韩国、澳洲、印尼等);欧洲(德国、法国、英国、义大利、西班牙、俄罗斯等);拉丁美洲(巴西、墨西哥等);以及中东和非洲。报告指出,北美是文本分析最大的区域市场。
北美拥有一些世界领先的科技公司和研究机构,它们促进了文本分析解决方案的创新和发展。先进的技术基础设施促进了尖端工具和方法的采用,使企业能够有效地利用文字分析。此外,美国各行各业正迅速采用巨量资料分析和人工智慧 (AI)。根据IMARC Group预测,美国资料分析市场在 2024 年至 2032 年期间的复合年增长率预计将达到 26.80%。
(请注意,这只是关键参与者的部分名单,完整名单将在报告中提供。)
The global text analytics market size reached USD 10.1 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 35.5 Billion by 2033, exhibiting a growth rate (CAGR) of 15% during 2025-2033. There are various factors that are driving the market, which include the growing adoption of big data analytics and artificial intelligence (AI), rising utilization of social media, increasing focus on cloud computing, and advancements in natural language processing (NLP).
Rising Utilization of Social Media
At the beginning of July 2024, there were approximately 5.17 billion social media users worldwide, according to Datareportal. User-generated material is becoming an increasingly valuable resource for companies looking to better understand their target individuals on social media platforms. Considering the billions of posts, comments, reviews, and conversations that happen on social media platforms every day, businesses now have access to enormous amounts of unstructured and real time data. However, the sheer volume of this data makes manual processing and analysis practically unfeasible. Text analytics gives businesses the means to extract meaningful insights from their material.
Increasing Adoption of Big Data and Artificial Intelligence (AI)
On 31 August 2023, IBM and Salesforce collaborated to help businesses accelerate their adoption of AI for customer relationship management (CRM). Companies like these support clients to revolutionize customer, partner, and employee experiences, while helping safeguard their data. The growing need for big data and AI is offering a favorable text analytics market outlook. Computers can now automatically recognize patterns, extract meaning, and produce insights from textual material just because of AI and machine learning (ML) technologies that would be impossible to study manually. Text analytics converts unstructured data into structured insights, enabling businesses to make data-driven decisions. Organizations can also identify reoccurring problems or features that users request regularly by examining user evaluations and comments. This information can then be used to inform future product enhancements.
Growing Adoption of Cloud Computing
The increasing focus on cloud computing, along with the adoption of connected devices, are major text analytics market growth drivers. Cloud computing allows businesses to easily scale their text analytics capabilities based on their needs. Organizations dealing with vast amounts of unstructured data such as social media content, emails, or customer feedback can process data on-demand without needing to invest heavily in physical infrastructure. Cloud platforms are offering flexible storage and computational power that allow businesses to analyze large datasets in real time. According to the IMARC Group, the global public cloud market is expected to reach US$ 3,934.2 Billion by 2032, exhibiting a CAGR of 19.9% during 2024-2032.
On-premises account for the majority of the market share
On-premises provide greater control over sensitive data by keeping it within the organization's infrastructure, which is crucial for ensuring compliance with regulatory frameworks. Companies with stringent compliance requirements prefer on-premises solutions to reduce the risk of data breaches or unauthorized access that may occur in cloud environments. On-premises solutions offer businesses a higher level of customization and control over the text analytics tools they use. Organizations can tailor the software to meet their specific operational needs, which is particularly important for large enterprises with complex workflows. These advantages are expected to provide a positive text analytics market forecast.
Large enterprises hold the largest share of the industry
Large enterprises produce and handle massive volumes of data daily from customer interactions, social media platforms, internal communications, and external documents. These organizations need powerful tools to process and extract actionable insights from this unstructured data, which helps inform business strategies and decision-making processes. These enterprises usually have the resources and budgets to invest in advanced and comprehensive text analytics solutions. They seek to implement cutting-edge technologies as to improve their ability to analyze vast data sets and gain competitive advantages.
Customer relationship management represents the leading market segment
Customer relationship management (CRM) relies heavily on text analytics to analyze user interactions across multiple channels including social media, chat logs, emails, and customer reviews. Businesses can gain a deeper understanding of user requirements, preferences, and needs by deriving insights from various unstructured data sources. They can better satisfy user expectations by customizing their services and marketing methods. They can also use text analytics to classify and rank specific questions and comments according to urgency.
Fast moving consumer goods (FMCG) exhibits a clear dominance in the market
Fast moving consumer goods (FMCG) companies typically receive vast amounts of user feedback through various channels including social media, product reviews, surveys, and customer service interactions. Text analytics helps these companies analyze this feedback to understand individual preferences, satisfaction levels, and product performance. In the competitive FMCG sector, brand reputation is crucial. Text analytics allows companies to monitor brand sentiment and track public perception in real time. By analyzing mentions and discussions on social media and review platforms, FMCG brands can quickly identify potential issues or crises and take corrective actions to protect their reputation.
North America leads the market, accounting for the largest text analytics market share
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America represents the largest regional market for text analytics.
North America is home to some of the world's leading technology companies and research institutions, which foster innovation and development in text analytics solutions. The presence of advanced technological infrastructure facilitates the adoption of cutting-edge tools and methodologies, allowing businesses to leverage text analytics effectively. Moreover, the United States is witnessing rapid adoption of big data analytics and artificial intelligence (AI) across various industries. The United States data analytics market is anticipated to exhibit a CAGR of 26.80% during 2024-2032, as claimed by the IMARC Group.
(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)