![]() |
市場調查報告書
商品編碼
1874658
全球企業搜尋市場Enterprise Search |
||||||
※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。
預計2030年,全球企業搜尋市場規模將達到149億美元。
全球企業搜尋市場規模在2024年估計為83億美元,預計到2030年將達到149億美元,在分析期間(2024-2030年)內複合年成長率(CAGR)為10.3%。本報告分析的細分市場之一-大型企業市場,預計複合年成長率為9.1%,到分析期結束時將達到89億美元。中型企業市場預計在分析期間內複合年成長率為12.9%。
美國市場規模估計為23億美元,而中國市場預計將以9.6%的複合年成長率成長。
預計到2024年,美國企業搜尋市場規模將達23億美元。作為世界第二大經濟體,中國預計到2030年市場規模也將達到23億美元,2024年至2030年的複合年成長率(CAGR)為9.6%。其他值得關注的區域市場分析包括日本和加拿大,預計在分析期間內,這兩個市場的複合年成長率將分別達到9.2%和8.3%。在歐洲,德國的複合年成長率預計約為8.3%。
全球企業搜尋市場—關鍵趨勢與促進因素概述
企業搜尋如何改變資訊搜尋和組織生產力?
企業搜尋正在革新資訊搜尋和組織生產力,它提供強大的工具,使員工能夠快速且準確地從組織內部儲存的大量資料中找到所需資訊。在現今資料豐富的商業環境中,員工常常難以找到散落在不同部門、資料庫和系統中的特定文件、電子郵件或文件。企業搜尋解決方案透過索引和分類所有類型的資料(從結構化資料庫到非結構化文件),並透過統一的介面搜尋,從而應對這一挑戰。這種集中式搜尋功能節省時間、減少挫折感,並確保相關資訊始終觸手可及,從而顯著提高生產力。透過實現更快、更有效率的資訊搜尋,企業搜尋有助於改善決策、促進協作,並賦能員工更有效率地完成工作,最終提升整體業務績效。
哪些創新正在推動企業搜尋能力的發展?
人工智慧 (AI)、自然語言處理 (NLP) 和個人化技術的進步,使得企業搜尋功能得到顯著提升。其中最具變革性的進展之一是將 AI 和機器學習技術整合到企業搜尋系統中,這大大提高了搜尋結果的準確性和相關性。 AI 驅動的搜尋引擎能夠從用戶行為中學習並最佳化演算法,從而隨著時間的推移提供越來越相關的搜尋結果。例如,AI 可以分析搜尋查詢和使用者互動模式,主動預測並呈現使用者接下來可能需要的資訊。這項功能不僅加快了搜尋速度,還提高了檢索資訊的質量,使員工更容易找到所需內容。
自然語言處理 (NLP) 是推動企業搜尋發展的另一個關鍵創新。 NLP 讓搜尋引擎能夠理解和處理自然流暢的對話式語言查詢,而不僅僅依賴關鍵字。這使得用戶可以像說話或思考一樣提出問題和進行短語搜尋,搜尋引擎能夠解讀查詢背後的意圖,從而提供最相關的結果。 NLP 還能處理包含多個條件或需要跨不同資料來源進行篩選的複雜查詢,使用戶能夠更輕鬆地搜尋。此外,NLP 還可用於分析和分類電子郵件、文件和社交媒體貼文等非結構化數據,從而提高這些內容類型的搜尋。
個人化在提升企業搜尋能力方面也發揮關鍵作用。現代搜尋引擎能夠根據使用者的角色、偏好和過往行為,量身定做搜尋結果。例如,市場經理和銷售負責人搜尋類似關鍵字時,可能會看到不同的搜尋結果,搜尋引擎會優先顯示與他們特定需求最相關的內容。個人化使用戶能夠減少篩選無關資訊的時間,從而將更多精力集中在與自身工作直接相關的內容上。這種個人化體驗在大型組織中尤其重要,因為不同部門的員工需要存取同一個資訊庫,但資訊需求卻各不相同。
另一項關鍵創新是將企業搜尋與其他企業系統(例如客戶關係管理 (CRM) 平台、內容管理系統 (CMS) 和協作工具)整合。透過整合這些系統中的搜尋功能,企業可以為使用者提供更流暢、更全面的搜尋體驗。例如,使用者只需一次搜尋查詢,即可在同一介面中擷取來自電子郵件、文件、客戶記錄、計劃管理工具和其他資訊來源的結果。這種整合不僅提高了資訊搜尋效率,還透過提供更一致、統一的組織資料觀點,提升了整體使用者體驗。
安全性和合規性也是企業搜尋領域的關鍵創新方向。隨著企業處理的資訊日益敏感,確保搜尋結果的準確性和安全性至關重要。領先的企業搜尋解決方案提供強大的安全功能,例如基於角色的存取控制和加密,以確保使用者只能存取其有權查看的資訊。合規性功能,例如審核追蹤和資料管治策略,也整合到搜尋平台中,以幫助企業滿足監管要求並維護資料完整性。
這些創新使企業搜尋更加智慧、方便用戶使用和安全,使組織能夠改善資訊搜尋、提高生產力並支援更明智的決策。
企業搜尋如何影響組織的知識管理與決策?
企業搜尋透過更快、更準確地獲取資訊並促進知識共用文化,對組織的知識管理和決策產生深遠影響。企業搜尋的關鍵優勢之一在於其打破組織內部資訊孤島的能力。在許多公司,寶貴的知識往往分散在不同的部門、系統甚至員工的腦海中。企業搜尋透過對組織內所有類型的資料進行索引和分類來解決這個難題,使所有需要的人都能輕鬆存取這些資訊。這種集中式的資訊搜尋方法能讓知識在組織內更廣泛地共用,減少冗餘,防止知識流失,並確保每位員工都能獲得有效完成工作所需的資訊。
企業搜尋透過提升資訊獲取途徑,增強了組織的決策能力。當員工能夠快速找到準確、相關的數據時,他們就能更好地做出明智的決策。例如,銷售團隊可以利用企業搜尋快速搜尋客戶資料、過往互動記錄和銷售預測,從而最佳化銷售策略,更有效地促成交易。同樣,產品開發團隊也可以利用企業搜尋存取研究報告、競品分析和客戶回饋,以數據驅動的方式製定產品功能和改進方案。透過這種方式,企業搜尋確保決策是基於最新、最全面的訊息,從而降低出錯風險,提升決策結果。
企業搜尋還能支援知識管理,使組織能夠捕捉並保存其集體知識。當員工創建和處理資料時,他們的貢獻會被自動索引並儲存在搜尋平台中,從而創建一個動態的組織知識庫。這在新進員工入職時尤其重要,因為它能讓他們輕鬆存取組織的集體知識,以便快速上手。此外,當員工離職時,由於他們的知識和貢獻會被保存下來並繼續供團隊使用,因此也有助於維持業務連續性。
此外,企業搜尋功能使員工能夠輕鬆找到資訊並與同事共用,從而增強協作。例如,在計劃工作中,團隊成員可以使用企業搜尋功能尋找相關文件、以往的計劃計畫以及其他團隊的溝通記錄,共用團隊成員步調一致。這種便利的資訊共用方式有助於營造更具協作性的職場環境,使員工能夠在此基礎上開展工作,共同為團隊的成功做出貢獻。
除了提升知識管理和決策能力外,企業搜尋還能加強合規性並降低風險。透過提供集中式、搜尋的組織資料存檔,企業可以更輕鬆地證明其符合監管要求、應對審核並管理法律風險。例如,在發生資料外洩或法律調查時,組織可以快速識別並檢索相關文件、電子郵件和通訊,從而做出準確及時的回應。
透過改善資訊取得、加強協作和決策支持,企業搜尋在幫助組織更有效地管理知識和做出推動業務成功的明智決策方面發揮關鍵作用。
哪些趨勢正在推動企業搜尋市場成長?
推動企業搜尋市場成長的關鍵趨勢包括組織資料的成長、人工智慧 (AI) 和機器學習的興起、知識管理日益重要以及對增強安全性和合規性能力的需求。組織資料的指數級成長是企業搜尋市場最重要的促進因素之一。隨著企業從電子郵件、文件、社交媒體和客戶互動等各種來源產生和收集更多數據,對高效搜尋工具的需求變得至關重要。隨著企業尋求更有效地管理和利用數據,對能夠處理大量數據並提供準確、即時搜尋結果的企業搜尋解決方案的需求也日益成長。
人工智慧 (AI) 和機器學習的興起也推動了企業搜尋市場的成長。 AI 驅動的搜尋引擎可以分析使用者行為並從過往查詢學習,從而提供更相關的搜尋結果。這些技術還支援自然語言處理 (NLP) 等高級搜尋功能,使用戶能夠使用對話式語言進行搜尋,而無需依賴特定的關鍵字。在複雜的商業環境中,員工需要快速檢索特定訊息,因此理解搜尋查詢的上下文和意圖的能力尤其重要。隨著 AI 和機器學習技術的不斷發展,預計它們將在開發更複雜、更強大的企業搜尋解決方案方面發揮越來越重要的作用。
知識管理日益重要,這是推動企業搜尋市場發展的另一個大趨勢。隨著企業將集體知識視為策略資產,對知識的獲取、整理和分享也越來越重視,力求讓所有員工都能輕鬆獲得這些知識。提供進階索引、分類和搜尋功能的企業搜尋解決方案對於支援知識管理至關重要。這些解決方案有助於企業打破資訊孤島,確保寶貴知識得以保存,並確保員工能夠獲得高效完成工作所需的資訊。隨著企業不斷重視知識共用與協作,對支援知識管理的企業搜尋解決方案的需求預計將持續成長。
對增強安全性和合規性功能的需求也推動了企業搜尋市場的成長。隨著企業處理的資訊日益敏感且受監管,確保搜尋結果的準確性和安全性已成為重中之重。對於那些需要保護資料並滿足監管要求的企業而言,提供加密、存取控制和合規性監控等強大安全功能的企業搜尋解決方案正變得至關重要。在金融、醫療保健和法律服務等行業,這一趨勢尤其明顯,因為資料外洩或違規的後果可能十分嚴重。
企業搜尋與其他企業系統的整合也進一步推動了市場成長。隨著企業尋求建立更具凝聚力和整合度的數位化生態系統,對能夠與其他企業工具(例如客戶關係管理 (CRM) 平台、內容管理系統 (CMS) 和協作工具)無縫整合的搜尋解決方案的需求日益成長。這種整合使企業能夠為用戶提供全面統一的搜尋體驗,從而提高效率並改善整體用戶體驗。對於那些希望打造更互聯、數據驅動型職場的企業而言,企業搜尋與其他系統的整合能力正成為一項關鍵的差異化優勢。
此外,遠距辦公和混合辦公模式的興起也影響企業搜尋解決方案的普及。隨著員工在多個地點辦公,並越來越依賴數位化工具進行協作和資訊訪問,強大的搜尋功能變得日益重要。能夠幫助遠距員工快速且方便地找到所需資訊(無論資訊儲存在何處)的企業搜尋解決方案正變得越來越有價值。隨著企業採用更靈活的工作安排並投資於支援遠距辦公和混合辦公模式的數位化工具,這一趨勢預計將會持續。
這些趨勢表明,在當今數據主導的商業環境中,企業搜尋的重要性日益凸顯。隨著企業不斷產生大量數據、優先考慮知識管理並應對複雜的法規環境,企業搜尋市場有望持續成長,其驅動力在於企業對創新、整合且安全的解決方案的需求,這些解決方案能夠增強資訊搜尋並支援企業決策。
部分:
組織規模(大型、中型、小型和中型企業)、最終用途(金融、保險、證券、政府機構、零售、醫療保健、其他最終用途)
人工智慧整合
我們正在利用檢驗的專家內容和人工智慧工具,革新市場和競爭情報分析。
Global Industry Analysts 並沒有依賴通用的 LLM 或查詢產業專用的SLM,而是建立了一個由世界各地領域專家精心整理的內容庫,包括視訊轉錄、部落格、搜尋引擎研究以及大量的公司、產品/服務和市場數據。
關稅影響係數
我們最新發布的報告納入了關稅對區域市場的影響,正如全球產業分析師預測的那樣,關稅將改變企業的競爭地位,而企業的競爭地位將取決於其總部所在地、製造地以及進出口(成品和OEM產品)。這種複雜多變的市場現實將透過微觀和宏觀市場動態影響競爭對手,包括銷貨成本增加、盈利下降以及供應鏈重組。
Global Enterprise Search Market to Reach US$14.9 Billion by 2030
The global market for Enterprise Search estimated at US$8.3 Billion in the year 2024, is expected to reach US$14.9 Billion by 2030, growing at a CAGR of 10.3% over the analysis period 2024-2030. Large Organization, one of the segments analyzed in the report, is expected to record a 9.1% CAGR and reach US$8.9 Billion by the end of the analysis period. Growth in the Medium Organization segment is estimated at 12.9% CAGR over the analysis period.
The U.S. Market is Estimated at US$2.3 Billion While China is Forecast to Grow at 9.6% CAGR
The Enterprise Search market in the U.S. is estimated at US$2.3 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$2.3 Billion by the year 2030 trailing a CAGR of 9.6% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 9.2% and 8.3% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 8.3% CAGR.
Global Enterprise Search Market - Key Trends and Drivers Summarized
How Is Enterprise Search Revolutionizing Information Retrieval and Organizational Productivity?
Enterprise Search is revolutionizing information retrieval and organizational productivity by providing powerful tools that allow employees to quickly and accurately find the information they need across vast amounts of data stored within an organization. In today’s data-rich business environments, employees often struggle to locate specific documents, emails, or files scattered across different departments, databases, and systems. Enterprise Search solutions address this challenge by indexing and categorizing all types of data, from structured databases to unstructured documents, making it searchable through a unified interface. This centralized search capability saves time, reduces frustration, and significantly enhances productivity by ensuring that relevant information is always just a few keystrokes away. By enabling faster and more effective information retrieval, Enterprise Search supports better decision-making, fosters collaboration, and empowers employees to perform their tasks more efficiently, ultimately driving overall business performance.
What Innovations Are Enhancing the Functionality of Enterprise Search?
Innovations in Enterprise Search are enhancing its functionality through advancements in artificial intelligence (AI), natural language processing (NLP), and personalization features. One of the most transformative developments is the integration of AI and machine learning into Enterprise Search systems, which significantly improves the accuracy and relevance of search results. AI-powered search engines can learn from user behavior, refining their algorithms to deliver more relevant results over time. For example, AI can analyze patterns in search queries and user interactions to anticipate what information users are likely to need next, presenting it proactively. This capability not only speeds up the search process but also improves the quality of the information retrieved, making it easier for employees to find exactly what they are looking for.
Natural language processing (NLP) is another key innovation driving the evolution of Enterprise Search. NLP allows search engines to understand and process queries in natural, conversational language, rather than relying solely on keywords. This means that users can ask questions or phrase their searches in the same way they would speak or think, and the search engine will interpret the intent behind the query to provide the most relevant results. NLP also enables search engines to handle complex queries that involve multiple criteria or require filtering across different data sources, making it easier for users to conduct more sophisticated searches. Additionally, NLP can be used to analyze and categorize unstructured data, such as emails, documents, and social media posts, enhancing the searchability of these content types.
Personalization is also playing a significant role in enhancing Enterprise Search functionality. Modern search engines can tailor search results to individual users based on their roles, preferences, and past behaviors. For example, a marketing manager might see different search results than a sales executive when searching for similar terms, with the search engine prioritizing content that is most relevant to their specific needs. Personalization ensures that users spend less time sifting through irrelevant information and more time focusing on content that is directly applicable to their work. This personalized experience is particularly valuable in large organizations where employees from different departments need to access the same information repository but have different informational needs.
Another important innovation is the integration of Enterprise Search with other enterprise systems, such as customer relationship management (CRM) platforms, content management systems (CMS), and collaboration tools. By integrating search capabilities across these systems, organizations can provide users with a more seamless and comprehensive search experience. For example, a single search query could return results from emails, documents, customer records, and project management tools, all within the same interface. This integration not only improves the efficiency of information retrieval but also enhances the overall user experience by providing a more cohesive and unified view of organizational data.
Security and compliance are also critical areas of innovation in Enterprise Search. As organizations handle increasingly sensitive information, ensuring that search results are both accurate and secure is essential. Advanced Enterprise Search solutions now offer robust security features, such as role-based access controls and encryption, to ensure that users only have access to the information they are authorized to see. Compliance features, such as audit trails and data governance policies, are also being integrated into search platforms to help organizations meet regulatory requirements and maintain the integrity of their data.
These innovations are making Enterprise Search more intelligent, user-friendly, and secure, enabling organizations to improve information retrieval, enhance productivity, and support more informed decision-making.
How Does Enterprise Search Impact Organizational Knowledge Management and Decision-Making?
Enterprise Search has a profound impact on organizational knowledge management and decision-making by enabling faster, more accurate access to information and by fostering a culture of knowledge sharing. One of the primary benefits of Enterprise Search is its ability to break down information silos within an organization. In many companies, valuable knowledge is often trapped in different departments, systems, or even within the minds of individual employees. Enterprise Search addresses this challenge by indexing and categorizing all types of data across the organization, making it easily accessible to everyone who needs it. This centralized approach to information retrieval ensures that knowledge is shared more widely across the organization, reducing redundancy, preventing knowledge loss, and ensuring that all employees have access to the information they need to perform their jobs effectively.
By improving access to information, Enterprise Search enhances organizational decision-making. When employees can quickly find accurate and relevant data, they are better equipped to make informed decisions. For example, a sales team might use Enterprise Search to quickly locate customer data, previous communications, and sales forecasts, enabling them to tailor their approach and close deals more effectively. Similarly, a product development team could use Enterprise Search to access research reports, competitor analysis, and customer feedback, helping them make data-driven decisions about product features and enhancements. In this way, Enterprise Search ensures that decisions are based on the most up-to-date and comprehensive information available, reducing the risk of errors and improving outcomes.
Enterprise Search also supports knowledge management by enabling organizations to capture and preserve institutional knowledge. As employees generate and interact with data, their contributions are automatically indexed and stored within the search platform, creating a living repository of organizational knowledge. This is particularly valuable for onboarding new employees, as it provides them with easy access to the collective knowledge of the organization, helping them get up to speed more quickly. It also helps organizations maintain continuity when employees leave, as their knowledge and contributions are preserved and remain accessible to the rest of the team.
Moreover, Enterprise Search enhances collaboration by making it easier for employees to find and share information with their colleagues. For example, when working on a project, team members can use Enterprise Search to locate relevant documents, past project plans, and communications from other teams, ensuring that everyone is on the same page. This ease of access to shared information fosters a more collaborative work environment, where employees can build on each other’s work and contribute to collective success.
In addition to improving knowledge management and decision-making, Enterprise Search also enhances compliance and reduces risk. By providing a centralized and searchable archive of all organizational data, Enterprise Search makes it easier for organizations to demonstrate compliance with regulatory requirements, respond to audits, and manage legal risks. For example, in the event of a data breach or legal inquiry, an organization can quickly locate and retrieve relevant documents, emails, and communications, ensuring that they can respond swiftly and accurately.
By improving access to information, enhancing collaboration, and supporting better decision-making, Enterprise Search plays a critical role in helping organizations manage their knowledge more effectively and make informed decisions that drive business success.
What Trends Are Driving Growth in the Enterprise Search Market?
Several trends are driving growth in the Enterprise Search market, including the increasing volume of organizational data, the rise of artificial intelligence (AI) and machine learning, the growing importance of knowledge management, and the demand for enhanced security and compliance features. The exponential growth of organizational data is one of the most significant drivers of the Enterprise Search market. As businesses generate and collect more data from various sources, including emails, documents, social media, and customer interactions, the need for efficient and effective search tools has become critical. Enterprise Search solutions that can handle large volumes of data and provide accurate, real-time search results are in high demand as organizations seek to manage and leverage their data more effectively.
The rise of artificial intelligence and machine learning is also fueling growth in the Enterprise Search market. AI-powered search engines can analyze user behavior, learn from past queries, and deliver more relevant search results. These technologies also enable more advanced search capabilities, such as natural language processing (NLP), which allows users to search using conversational language rather than relying on specific keywords. The ability to understand context and intent in search queries is particularly valuable in complex business environments where employees need to access specific information quickly. As AI and machine learning technologies continue to evolve, they are expected to play an increasingly important role in the development of more sophisticated and powerful Enterprise Search solutions.
The growing importance of knowledge management is another key trend driving the Enterprise Search market. As organizations recognize the value of their collective knowledge as a strategic asset, there is a growing emphasis on capturing, organizing, and making this knowledge accessible to all employees. Enterprise Search solutions that offer advanced indexing, categorization, and retrieval capabilities are essential for supporting knowledge management initiatives. These solutions help organizations break down information silos, ensure that valuable knowledge is preserved, and enable employees to access the information they need to perform their jobs effectively. The demand for Enterprise Search solutions that support knowledge management is expected to increase as organizations continue to prioritize knowledge sharing and collaboration.
The demand for enhanced security and compliance features is also contributing to the growth of the Enterprise Search market. As organizations handle increasingly sensitive and regulated information, ensuring that search results are both accurate and secure has become a top priority. Enterprise Search solutions that offer robust security features, such as encryption, access controls, and compliance monitoring, are becoming essential for organizations that need to protect their data and meet regulatory requirements. This trend is particularly strong in industries such as finance, healthcare, and legal services, where the consequences of data breaches or non-compliance can be severe.
The integration of Enterprise Search with other enterprise systems is further driving market growth. As organizations seek to create more cohesive and integrated digital ecosystems, there is a growing demand for search solutions that can seamlessly integrate with other enterprise tools, such as customer relationship management (CRM) platforms, content management systems (CMS), and collaboration tools. This integration allows organizations to provide users with a more comprehensive and unified search experience, enhancing efficiency and improving the overall user experience. The ability to integrate Enterprise Search with other systems is becoming a key differentiator for organizations that want to create a more connected and data-driven work environment.
Moreover, the trend towards remote and hybrid work is influencing the adoption of Enterprise Search solutions. As more employees work from different locations and rely on digital tools to collaborate and access information, the need for powerful search capabilities has become more critical. Enterprise Search solutions that enable remote employees to quickly and easily find the information they need, regardless of where it is stored, are becoming increasingly valuable. This trend is expected to continue as organizations embrace more flexible work arrangements and invest in digital tools that support remote and hybrid work models.
These trends highlight the growing importance of Enterprise Search in today’s data-driven business landscape. As organizations continue to generate vast amounts of data, prioritize knowledge management, and navigate complex regulatory environments, the Enterprise Search market is poised for continued growth, driven by the need for innovative, integrated, and secure solutions that enhance information retrieval and support better decision-making across the enterprise.
SCOPE OF STUDY:
The report analyzes the Enterprise Search market in terms of units by the following Segments, and Geographic Regions/Countries:
Segments:
Organization Size (Large, Medium, Small); End-Use (BFSI, Government, Retail, Healthcare, Other End-Uses)
Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.
Select Competitors (Total 69 Featured) -
AI INTEGRATIONS
We're transforming market and competitive intelligence with validated expert content and AI tools.
Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.
TARIFF IMPACT FACTOR
Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.