![]() |
市場調查報告書
商品編碼
1819865
2025 年至 2033 年文本分析市場報告(按部署模式、組織規模、應用程式、最終用戶和地區)Text Analytics Market Report by Deployment Model, Organization Size, Application, End User, and Region 2025-2033 |
2024年,全球文本分析市場規模達101億美元。展望未來, IMARC Group預計到2033年,該市場規模將達到355億美元,2025-2033年期間的複合年成長率(CAGR)為15%。推動市場發展的因素多種多樣,包括巨量資料分析和人工智慧(AI)的日益普及、社交媒體使用率的不斷提升、雲端運算的日益受重視以及自然語言處理(NLP)技術的進步。
社群媒體使用率不斷上升
根據 Datareportal 的數據,截至 2024 年 7 月初,全球社群媒體用戶約為 51.7 億。對於希望更了解社群媒體平台上目標用戶的公司來說,用戶產生的素材正成為越來越寶貴的資源。考慮到社群媒體平台上每天發布的數十億條貼文、評論、評價和對話,企業現在可以存取大量非結構化即時資料。然而,這些資料的龐大數量使得手動處理和分析幾乎不可行。文本分析為企業提供了從其素材中提取有意義見解的方法。
巨量資料和人工智慧(AI)的採用日益增多
2023 年 8 月 31 日,IBM 和 Salesforce 攜手協助企業加速採用人工智慧進行客戶關係管理 (CRM)。這類公司支援客戶徹底改變客戶、合作夥伴和員工體驗,同時幫助保護他們的資料。對巨量資料和人工智慧日益成長的需求為文字分析市場帶來了良好的前景。由於人工智慧和機器學習 (ML) 技術的存在,電腦現在可以自動識別模式、提取含義並從文字材料中產生洞察,而這些是人工無法研究的。文字分析將非結構化資料轉換為結構化洞察,使企業能夠做出資料驅動的決策。組織還可以透過檢查使用者評價和評論來識別使用者經常要求的重複出現的問題或功能。然後,這些資訊可用於指導未來的產品增強。
雲端運算的普及率不斷提高
對雲端運算的日益關注以及連網設備的普及是文字分析市場成長的主要驅動力。雲端運算使企業能夠根據自身需求輕鬆擴展其文字分析功能。處理大量非結構化資料(例如社交媒體內容、電子郵件或客戶回饋)的組織可以按需處理資料,而無需在實體基礎設施上投入大量資金。雲端平台提供靈活的儲存和運算能力,使企業能夠即時分析大型資料集。根據IMARC Group預測,到 2032 年,全球公有雲市場規模將達到 3.9,342 兆美元,2024-2032 年期間的複合年成長率為 19.9%。
本地部署佔大部分市場佔有率
透過將敏感資料保存在組織的基礎架構中,本地部署能夠更好地控制這些數據,這對於確保遵守監管框架至關重要。對合規性有嚴格要求的公司更傾向於本地部署解決方案,以降低雲端環境中可能發生的資料外洩或未經授權存取的風險。本地部署解決方案為企業提供了更高層級的客製化,並使其能夠更好地控制所使用的文字分析工具。組織可以根據其特定的營運需求客製化軟體,這對於工作流程複雜的大型企業尤其重要。這些優勢預計將為文本分析市場帶來正面的預測。
大型企業佔產業最大佔有率
大型企業每天都會產生並處理大量資料來自客戶互動、社群媒體平台、內部溝通以及外部文件。這些組織需要強大的工具來處理這些非結構化資料並從中提取可操作的洞察,從而為業務策略和決策流程提供資訊。這些企業通常擁有充足的資源和預算,可以投資於先進且全面的文本分析解決方案。他們致力於應用尖端技術,以提高分析大量資料集的能力,並獲得競爭優勢。
客戶關係管理代表著領先的細分市場
客戶關係管理 (CRM) 高度依賴文字分析來分析使用者在社群媒體、聊天記錄、電子郵件和客戶評論等多個管道的互動。企業可以透過從各種非結構化資料來源獲取洞察,更深入地了解用戶的需求、偏好和要求。他們可以透過客製化服務和行銷方法來更好地滿足用戶的期望。他們還可以使用文字分析根據緊急程度對特定問題和評論進行分類和排序。
快速消費品(FMCG)在市場上佔據明顯主導地位
快速消費品 (FMCG) 公司通常會透過各種管道(包括社群媒體、產品評論、問捲和客戶服務互動)接收大量使用者回饋。文字分析可幫助這些公司分析這些回饋,以了解個人偏好、滿意度和產品表現。在競爭激烈的快速消費品產業,品牌聲譽至關重要。文字分析使公司能夠即時監控品牌情緒並追蹤大眾認知。透過分析社群媒體和評論平台上的提及和討論,快速消費品品牌可以快速識別潛在問題或危機,並採取糾正措施來維護其聲譽。
北美引領市場,佔據最大的文本分析市場佔有率
該報告還對所有主要區域市場進行了全面分析,包括北美(美國和加拿大);亞太地區(中國、日本、印度、韓國、澳洲、印尼等);歐洲(德國、法國、英國、義大利、西班牙、俄羅斯等);拉丁美洲(巴西、墨西哥等);以及中東和非洲。報告指出,北美是文本分析最大的區域市場。
北美擁有一些世界領先的科技公司和研究機構,它們促進了文本分析解決方案的創新和發展。先進的技術基礎設施促進了尖端工具和方法的採用,使企業能夠有效地利用文字分析。此外,美國各行各業正迅速採用巨量資料分析和人工智慧 (AI)。根據IMARC Group預測,美國資料分析市場在 2024 年至 2032 年期間的複合年成長率預計將達到 26.80%。
(請注意,這只是關鍵參與者的部分名單,完整名單將在報告中提供。)
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.)