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市場調查報告書
商品編碼
1690792

洞察引擎：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030 年）

Insight Engines - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
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

洞察引擎市場規模預計在 2025 年為 22.7 億美元，預計到 2030 年將達到 72.6 億美元，預測期內（2025-2030 年）的複合年成長率為 26.16%。

Insight Engines-市場-IMG1

主要亮點

  • 洞察引擎與傳統搜尋引擎的不同之處在於，它們不僅提供來源資料的鏈接，還提供有關特定事實和實體的上下文資訊。 Insight Engine的主要用途是內部和外部搜尋以及資料分析擷取。
  • 即使資料和分析解決方案被廣泛採用，許多公司仍難以實現其業務目標。作為一種解決方案，人們已經明顯轉向洞​​察引擎。這些引擎整合來自各種來源的資料並提供關鍵的業務洞察。Accenture強調，資料可用性已大幅增加 44 Zetta位元組。這些資料中的 80% 是非結構化的——涵蓋從文字文件和音訊到視訊、電子郵件和社交媒體貼文的所有內容——剩下的 20% 是資料的。
  • 為了從這個龐大的資料中獲得見解並確定使用者和組織的需求，必須能夠從文件中提取事實並輕鬆存取儲存的事實。包括谷歌和必應在內的主流搜尋引擎透過使用「知識圖譜」來儲存事實來實現這一點。
  • 對於許多企業來說，從資料中獲得有價值的見解所需的投資可能是巨大的，需要獨特的基礎設施和資源。這項挑戰使得許多企業將認知搜尋視為正確的解決方案。領先的資訊科技和服務公司 KD Nuggets 預測，企業將把約 15% 的 IT 預算分配給認知搜尋、分析和相關的雲端基礎的服務。
  • 零售、金融、保險和保險業、媒體和通訊等多個行業都計劃在不久的將來推出洞察計劃。以 BFSI 領域為例，公司正在尋求改善客戶的銀行體驗。透過利用高級分析技術，我們旨在深入了解流程和客戶行為，從而根據過去的表現做出明智的業務決策。
  • 此外，企業、消費者和設備產生的資料激增正在推動洞察引擎市場的發展。組織面臨來自社群媒體、客戶互動和物聯網設備等來源的大量資料。洞察引擎擅長從這些資料中辨別有意義的模式和趨勢，而傳統處理方法往往無法實現這項功能。這項功能正在推動洞察引擎在世界各地的廣泛採用。

洞察引擎市場趨勢

BFSI 部門佔主要佔有率

  • 在快速變化的消費趨勢和不斷發展的業務預期中，銀行面臨著獨特的挑戰。在這種背景下，搜尋技術已成為駕馭複雜的現代金融世界的重要工具。資料來源曾經局限於傳統管道，現在涵蓋了廣泛的選擇。金融機構員工希望能夠不間斷地存取資料，無論數據儲存在雲端、SaaS 平台或其他數據孤島中。先進的洞察引擎目前能夠處理各種格式的數十億份文檔，確保即時資料的可用性。
  • 同時，保險公司面臨日益嚴格的監管環境，同時也面臨網路威脅和破壞環境的挑戰。在這種動態的環境中，搜尋技術成為幫助組織快速適應並維持發展軌道的重要盟友。
  • 在機器學習和人工智慧的支援下，洞察引擎利用各種資料來源為銀行家提供客戶的整體情況。其中包括來自年度報告、風險分析、社交媒體和行業部落格的見解。這種全面的洞察不僅可以為投資決策提供資訊，而且還有助於更有效地識別投資機會和建立交易。透過利用大量資料和數位客戶資料，銀行可以利用洞察引擎並獲取真實的信用報告。這種主動方法使銀行能夠及早發現詐欺活動，識別支付差異並強調異常行為。
  • 此外，銀行和其他金融機構也擴大使用洞察引擎來篩選社群媒體。透過使用自然語言處理，您可以評估客戶情緒並分析圍繞您的服務和策略的討論。此功能使財務分析師能夠創建更準確的報告並存取關鍵的分段資料，以增強向客戶和內部相關人員提供的建議。利用資料來個人化銀行服務不僅可以提高客戶參與，還可以推動收益成長。 2023 年 6 月，Envestnet Data and Analytics 宣布其銀行洞察引擎 (IEB) 解決方案榮獲「最佳基於 AI 的金融服務解決方案」稱號。
  • 此外，BFSI 機構在遵守嚴格的監管方面面臨重大障礙。 《一般資料保護規範》（GDPR）、《多德-弗蘭克法案》和《反洗錢》（AML）法律等合規要求對金融業務進行更嚴格的審查。 Insight Engine 為組織提供即時資料分析和彙報工具，有助於快速識別可疑活動和合規性報告。透過採取這種積極主動的方式，金融機構不僅可以降低違規的風險，還可以保護自己免受潛在的處罰。這些優勢正在推動 BFSI 領域採用洞察引擎。

亞太地區：預計大幅成長

  • 日本、中國、印度、澳洲和韓國等國家正在引領亞太地區洞察引擎市場的快速成長。中國是亞太地區的技術領導者，擁有世界上最快的網路速度，也是阿里巴巴等巨頭的所在地。
  • 根據國家統計局數據，2023年上半年，受直播電商興起的帶動，中國網路零售額持續成長。同時，泰國《商業新聞》預測，今明兩年網路購物年增率將達 6%，市場規模將達 178 億美元至 195 億美元。主要類別包括個人護理、家居用品、食品和飲料。線上銷售的成長可能會刺激對零售洞察引擎軟體的需求。
  • 在愛奇藝、騰訊和優酷等主要企業的支持下，中國的法規結構有效地阻止了包括 FAANG 集團（Facebook、亞馬遜、蘋果、Netflix 和谷歌）在內的國際巨頭進入市場。這些 FAANG 公司對各行業的廣告業具有重大影響力，尤其是它們利用先進的洞察引擎進行大規模建議。因此，這種限制性措施既保護了國內市場，也為當地企業提供了蓬勃發展的機會，儘管成長率落後於美國更強勁的步伐。
  • 展望未來，洞察引擎市場提供了廣大的商機，尤其是在印度等新興市場。
  • 2023 年 3 月，Insight Software 宣布了 Angles Professional for Oracle 的升級計劃，並在 2023 年 Gartner 資料與分析高峰會上展示了增強功能。為了滿足對高階營運分析日益成長的需求，Insight Software 與 Logi Analytics 建立了合作夥伴關係。此次合作旨在為 Oracle ERP Cloud 使用者提供建立可輕鬆跨部門共用的互動式儀表板和報告的工具。

Insight Engine 產業概覽

洞察引擎市場較分散，有 IBM Corporation、Mindbreeze GmbH、LucidWorks Inc. 和 Sinequa SAS 等參與者。市場上的供應商也在透過使用機器學習功能（例如電腦視覺、語音轉文字功能等），以本地方式或透過合作方式將其內容索引功能的範圍擴展到富媒體。

例如，2024 年 4 月，Litera 推出了一款新的 GenAI主導的KM 工具，幫助公司加強談判地位並增強交易計畫。該工具將使公司能夠精確定位“相關先例、貿易點和市場洞察”，以更好地支持其客戶。 Litera 旨在透過深入挖掘過去交易的「所有交易、交易和談判資料」為用戶提供全面的解決方案。

其他福利

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

目錄

第 1 章 簡介

  • 研究假設和市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

  • 市場概況
  • 產業價值鏈分析
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 消費者議價能力
    • 新進入者的威脅
    • 競爭對手之間的競爭
    • 替代品的威脅
  • COVID-19 產業影響評估

第5章 市場動態

  • 市場促進因素
    • 資料量不斷增加，對結構化資料的需求不斷增加
    • 透過搜尋和自然語言處理增加分析查詢
  • 市場限制
    • 對資料品質和資料來源檢驗的擔憂

第6章 市場細分

  • 按組件
    • 軟體
    • 按服務
  • 依部署類型
    • 本地
    • 雲
  • 按公司規模
    • 中小型企業
    • 大型企業
  • 按最終用戶產業
    • BFSI
    • 零售
    • 資訊科技/通訊
  • 按地區
    • 北美洲
    • 歐洲
    • 亞洲
    • 澳洲和紐西蘭
    • 拉丁美洲
    • 中東和非洲

第7章 競爭格局

  • 公司簡介
    • IBM Corporation
    • Mindbreeze GmbH
    • Coveo Solutions Inc.
    • Sinequa SAS
    • LucidWorks Inc.
    • ServiceNow Inc.（Attivio Cognitive Search Platform）
    • Micro Focus International PLC
    • Google LLC
    • Microsoft Corporation
    • Funnelback Pty Ltd
    • IntraFind Inc.
    • Dassault Systems SA
    • EPAM Systems Inc.（Infongen）
    • Expert System SpA
    • IHS Markit Ltd
    • Insight Engines Inc.

第8章投資分析

第9章：市場的未來

簡介目錄
Product Code: 71664

The Insight Engines Market size is estimated at USD 2.27 billion in 2025, and is expected to reach USD 7.26 billion by 2030, at a CAGR of 26.16% during the forecast period (2025-2030).

Insight Engines - Market - IMG1

Key Highlights

  • Insight engines differ from traditional search engines by offering contextual information about a given fact or entity rather than just providing links to source materials. Their primary applications encompass internal and external searches and data analytics extraction.
  • Even with the widespread adoption of data and analytics solutions, many companies still find it challenging to achieve their business objectives. As a solution, there's a noticeable shift towards insight engines. These engines consolidate data from various sources, delivering vital business insights. Accenture highlights a monumental surge in data availability, now at 44 zettabytes. A significant 80% of this data is unstructured, covering everything from text documents and audio to videos, emails, and social media posts, with the remaining 20% being structured.
  • To harness insights from this vast data pool and determine user or organizational needs, it's essential to extract facts from documents and ensure easy access to these stored facts. Major search engines, including Google and Bing, achieve this by utilizing a 'knowledge graph' for fact storage, a method they've employed for years.
  • For numerous organizations, the investment required to extract valuable insights from data can be substantial, necessitating their own infrastructure and resources. This challenge drives many companies to view cognitive search as a fitting solution. KDNuggets, a prominent information technology and services firm, forecasts that organizations will allocate around 15% of their IT budgets to cognitive search, analytics, and related cloud-based services.
  • Several industries, including retail, BFSI, media, and telecommunications, are set to adopt insight programs in the near future. Take the BFSI sector: companies are on a quest to enhance banking experiences for their customers. By leveraging advanced analytics, they aim to gain insights into processes and customer behaviors, leading to informed business decisions based on historical performance.
  • Moreover, the surge in data generation by businesses, consumers, and devices propels the insight engine market. Organizations face a deluge of data from sources like social media, customer interactions, and IoT devices. Insight engines excel at discerning meaningful patterns and trends from this data, a feat often missed by traditional processing methods. This capability has fueled the global adoption of insight engines.

Insight Engines Market Trends

BFSI Segment Holds a Significant Share

  • Banks grapple with unique challenges amidst a rapidly changing consumer landscape and evolving business expectations. In this context, search technology has emerged as a crucial tool for navigating the complexities of the modern financial world. Data sources, once confined to traditional channels, now encompass a wide array of options. Employees in financial institutions demand uninterrupted access to data, whether it's stored in the cloud, on SaaS platforms, or in other silos. Advanced insight engines are now adept at processing billions of documents across various formats, guaranteeing real-time data availability.
  • Concurrently, insurers are contending with a tightening regulatory landscape while also facing challenges from cyber threats and disruptive innovations. In this dynamic environment, search technologies stand out as vital allies, empowering organizations to adapt swiftly and maintain their growth trajectory.
  • Insight engines, driven by machine learning and artificial intelligence, tap into varied data sources to furnish bankers with a holistic view of their clients. This encompasses insights from annual reports, risk analytics, social media, and industry blogs. Such comprehensive insights not only inform investment decisions but also help in spotting opportunities and streamlining deal origination. Leveraging their extensive transactional and digital customer data, banks can utilize insight engines to access genuine credit reports. This proactive approach enables banks to detect fraud early, recognize payment discrepancies, and highlight any atypical activities.
  • Furthermore, financial institutions, notably banks, are increasingly deploying insight engines to sift through social media. By harnessing Natural Language Processing, they can assess client sentiment and analyze discussions surrounding their services and strategies. This capability allows financial analysts to produce more precise reports, enhancing the advice given to both clients and internal stakeholders through access to vital, segmented data. Tailoring banking services using data not only heightens customer engagement but also propels revenue growth. A testament to this trend, in June 2023, Envestnet Data and Analytics unveiled that their Insights Engine for Banking (IEB) solution clinched the title of Best AI-based Solution for Financial Services.
  • Additionally, BFSI institutions face significant hurdles in navigating stringent regulations. Compliance mandates, such as the General Data Protection Regulation (GDPR), the Dodd-Frank Act, and Anti-Money Laundering (AML) laws, necessitate meticulous oversight of financial operations. Insight engines equip organizations with tools for real-time data analysis and reporting, facilitating the prompt identification of suspicious activities and the effortless generation of compliance reports. By taking this proactive approach, institutions not only reduce the risk of non-compliance but also shield themselves from potential penalties. Such advantages are propelling the adoption of insight engines in the BFSI sector.

Asia-Pacific Expected to Witness Major Growth

  • Countries like Japan, China, India, Australia, and South Korea are spearheading the rapid growth of the insight engine market in the Asia-Pacific region. China, a technological frontrunner in Asia-Pacific, boasts one of the world's fastest internet speeds and is home to major enterprises, including Alibaba.
  • According to the National Bureau of Statistics, China's online retail sales saw consistent growth in the first half of 2023, driven by the rising trend of livestreaming e-commerce. Simultaneously, Thailand's Business News forecasts a 6% annual growth in online shopping for both this year and the next, targeting a market value between USD 17.8-19.5 billion. Leading categories include personal and household care products, beverages, and food. This uptick in online sales is poised to boost demand for insight engine software among retail players.
  • China's regulatory framework, supported by key players like iQiyi, Tencent, and Youku, effectively prevents international giants, including the FAANG group (Facebook, Amazon, Apple, Netflix, and Google), from penetrating its market. These FAANG companies utilize advanced insight engines, especially for large-scale recommendations, and wield significant influence in advertising across various industries. Thus, while this regulatory approach safeguards the domestic market, it simultaneously offers local players an opportunity to thrive, even if their growth rate lags behind the more vigorous pace observed in the U.S.
  • Looking ahead, the forecast period highlights promising opportunities for the insight engine market, particularly in emerging markets like India, driven by a surge of local entrants eager to make their mark.
  • In March 2023, Insightsoftware unveiled its plans to upgrade Angles Professional for Oracle, showcasing the enhancement at the Gartner Data & Analytics Summit 2023. Responding to a rising demand for advanced operational analytics, Insightsoftware partnered with Logi Analytics. This collaboration aims to equip Oracle ERP Cloud users with tools to create interactive dashboards and reports, ensuring smooth sharing across departments.

Insight Engines Industry Overview

The insight engine market is fragmented due to the significant presence of players such as IBM Corporation, Mindbreeze GmbH, LucidWorks Inc., and Sinequa SAS. Vendors in the market are also extending the reach of their content indexing capabilities to rich media either natively or via partnership by using machine learning capabilities such as computer vision, speech-to-text functions, etc.

For instance, in April 2024, Litera unveiled a new GenAI-driven KM tool to help companies enhance their negotiation positions and bolster transaction planning. This tool enables firms to pinpoint 'relevant precedents, deal points, and market insights,' empowering them to better support their clients. By delving into 'all matter, deal, and negotiating data' from past transactions, Litera aims to provide a comprehensive solution for its users.

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 INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Value Chain Analysis
  • 4.3 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.3.1 Bargaining Power of Suppliers
    • 4.3.2 Bargaining Power of Consumers
    • 4.3.3 Threat of New Entrants
    • 4.3.4 Intensity of Competitive Rivalry
    • 4.3.5 Threat of Substitutes
  • 4.4 Assessment of the Impact of COVID-19 on the Industry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increasing Volumes of Data and the Requirement of Structured Data
    • 5.1.2 Rising Generation of Analytical Queries Via Search and Natural Language Processing
  • 5.2 Market Restraints
    • 5.2.1 Concerns Regarding the Data Quality and Data Sources Validation

6 MARKET SEGMENTATION

  • 6.1 By Component
    • 6.1.1 Software
    • 6.1.2 Services
  • 6.2 By Deployment Type
    • 6.2.1 On-premise
    • 6.2.2 Cloud
  • 6.3 By Size of the Enterprise
    • 6.3.1 Small- and Medium-Sized Enterprises
    • 6.3.2 Large Enterprises
  • 6.4 By End-user Industry
    • 6.4.1 BFSI
    • 6.4.2 Retail
    • 6.4.3 IT and Telecom
  • 6.5 By Geography
    • 6.5.1 North America
    • 6.5.2 Europe
    • 6.5.3 Asia
    • 6.5.4 Australia and New Zealand
    • 6.5.5 Latin America
    • 6.5.6 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 IBM Corporation
    • 7.1.2 Mindbreeze GmbH
    • 7.1.3 Coveo Solutions Inc.
    • 7.1.4 Sinequa SAS
    • 7.1.5 LucidWorks Inc.
    • 7.1.6 ServiceNow Inc. (Attivio Cognitive Search Platform)
    • 7.1.7 Micro Focus International PLC
    • 7.1.8 Google LLC
    • 7.1.9 Microsoft Corporation
    • 7.1.10 Funnelback Pty Ltd
    • 7.1.11 IntraFind Inc.
    • 7.1.12 Dassault Systems SA
    • 7.1.13 EPAM Systems Inc. (Infongen)
    • 7.1.14 Expert System SpA
    • 7.1.15 IHS Markit Ltd
    • 7.1.16 Insight Engines Inc.

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET