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1440241

Insight Engines - 市场占有率分析、产业趋势与统计、成长预测（2024 - 2029）

Insight Engines - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)

出版日期: 2024年02月15日 | 出版商:

Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

洞察引擎市场规模预计到 2024 年为 18 亿美元，预计到 2029 年将达到 57.5 亿美元，在预测期内（2024-2029 年）CAGR为 26.16%。

与提供原始来源资料连结的常见搜寻引擎不同，洞察引擎可以提供有关相关事实或实体的上下文资讯。洞察引擎的关键用例包括内部搜寻、外部搜寻和资料分析提取。

主要亮点

儘管公司应用了所有类型的资料和分析解决方案，但他们仍无法满足其业务目标。公司不断寻求更好的方法从资讯中获得更多商业价值。因此，洞察引擎透过连接到不同的资料来源来提供关键业务洞察来解决这个问题。据埃森哲称，可用资料量正在迅速增长，达到 44 zetta位元组。 80% 的资料是非结构化的（文字文件、音讯、视讯、电子邮件、社交贴文等），20% 保存在某种结构化系统中。为了从这个庞大的资源中获得洞察并确定使用者或组织的需求，从文件中提取事实并将这些事实储存在某处以便于简单存取的能力是必要的。谷歌和必应等搜寻引擎巨头透过在「知识图」中储存这些事实来做到这一点，这适合他们多年来使用的搜寻引擎。
对于许多组织来说，投资从资料中提取有用的见解可能成本高昂。为此，他们需要拥有自己的基础设施和资源。这是许多公司认为认知搜寻是合适解决方案的主要原因之一。据资讯科技和服务公司 KDNuggets 称，组织预计将约 15% 的 IT 投资用于认知搜寻、分析和其他基于云端的产品。预计到 2021 年这项投资将增至 35%。
预计零售、BFSI、媒体和电信等各种最终用户行业将在未来几年使用该洞察计划。例如，在 BFSI 领域，各公司不断尝试寻找方法，让银行业务对顾客来说更好、更快、更方便。该行业计划利用高级分析能力来深入了解流程和客户。这将有助于它了解过去的表现，从而做出更好的业务决策。
此外，在 COVID-19 之后，洞察引擎加快了步伐，成为企业搜寻的最佳知识发现选项之一。市场见证了企业应用程式产生的资料显着增加。用于开发有意义的见解以做出业务决策的时间也显着增加。为了在 COVID-19 大流行期间推广其洞察引擎，主要市场供应商推出了具有先进功能的创新产品，以满足特定行业和疫情后的搜寻需求。
例如，2020 年 7 月，微软推出了医疗保健文字分析预览功能，使开发人员能够处理非结构化医疗资料并从中提取见解。此功能是 Azure 认知服务中文字分析的一部分。它可以处理广泛的资料类型和任务，无需耗时且手动开发的自订模型即可从资料中提取见解。据微软称，透过这项最新产品，用户可以将非结构化文字中提到的单字和短语检测为与医疗保健和生物医学领域的语义类型相关的实体。这些字词包括诊断、药物名称、症状、检查、治疗、剂量和给药途径。

洞察引擎市场趋势

BFSI 细分市场预计将占据重要份额

银行在应对不断变化的消费者格局和业务期望时面临一系列独特的挑战。搜寻技术处于理解这个新金融世界的最前线。使用的资料来源的多样性已经超越了传统的混合。金融机构的企业员工需要存取储存在云端、SaaS 服务和其他孤岛中的资料。洞察引擎可扩展到数十亿个各种格式的文檔，并连接到所有资料以进行即时存取。保险公司在试图减轻网路风险和颠覆性创新等改变游戏规则的趋势的同时，越来越多地面临监管环境。搜寻可以帮助这些组织保持敏捷并保持成长。
洞察引擎利用机器学习和人工智慧从不同的资料储存库检索相关结果。它让银行家能够存取年度报告、风险分析、社交媒体、行业部落格和许多其他资料点，从而全面了解客户。它还可以实现明智的投资决策、机会寻找和交易发起。银行拥有多个围绕客户资料、索赔、客户付款历史记录等的交易资料和数位互动点。洞察引擎可以利用这些大量资料储存库来存取真实可靠的信用报告。银行可以主动利用这些报告来预测诈欺行为，同时发现付款违规行为和其他异常活动。
银行和其他金融组织也利用洞察引擎透过检查社群媒体并使用自然语言处理分析有关其服务和策略的讨论来寻找和解析客户情绪。金融服务分析师能够编写越来越准确的报告，并透过获取重要的独立资料的能力，为客户和内部决策者提供更好的建议。使用资料实现个人化银行业务可以提高客户参与度并增加收入。据 Accenture 称，一家大型全球银行利用向客户提供的个人化见解，在短短 18 个月内将储蓄余额增加了 6,000 万欧元。
例如，美国第三大银行拥有 3800 万次搜寻和 29.3 万唯一用户，部署了使用 Lucidworks Fusion 构建的搜寻应用程序，现在只有 0.14% 的查询结果为零，员工将其搜寻评为最其内部网路的宝贵功能。一家全球排名前五的投资银行使用Lucidworks Fusion 建立了一个应用程序，该应用程式搜寻了2.5 亿行（每个文件包含60-70 个栏位）和5000 万行（每个文件包含1000 个栏位），总共20 亿行集合。全球最大的银行之一法国农业信贷银行启动了一个项目，旨在提供一个新的数位化工作场所，让超过 60,000 名内部用户可以了解面前客户的确切情况，从而可以利用该项目找到最合适的客户。为客户提供相关产品。

亚太地区市场预计将出现高速成长

以日本、中国、印度、澳洲和韩国等国家为首，亚太地区预计将成为市场成长最快的地区。中国是亚太地区技术应用不断成长的主要国家之一。该国拥有速度最快的网路频段之一，并且拥有阿里巴巴等大型企业的强大影响力。
根据UNCTAD.org 的数据，2019 年8 月至2020 年8 月，中国线上零售额份额从19.4% 上升至24.6%。2020 年3 月，泰国购物应用程式下载量在短短一周内猛增60% . - 2020 年的商业成长可能会在復苏期间持续下去，预计这将有助于洞察引擎市场产生零售业参与者的需求。
中国严格的监管环境进一步巩固了三方（爱奇艺、腾讯和优酷）的主导地位，这阻止了 FAANG（Facebook、亚马逊、苹果、Netflix、Google）等国际参与者在中国开展业务。这些国际参与者使用洞察引擎，尤其是大规模推荐，并透过广告推动其他业务。这为该地区的国内企业提供了充足的机会，从而导致与美国相比的适度增长。
此外，印度等国家的新兴市场预计将为预测期内研究的市场提供巨大的机会，因为许多新的本地参与者正试图进入特定市场。例如，2021 年 9 月，消费者和市场情报、分析和咨询服务提供者 GfK 推出了 gfknewron。它是一个整合的、人工智慧驱动的软体平台。使用 gfknewron，公司可以从单一事实来源存取市场、消费者和品牌资料。人工智慧支援的预测和实践指导将支援可持续的业务成长。 Gfknewron 是 GfK 从标准市场研究机构转型为人工智慧驱动的资料分析和顾问公司的重要一步。

洞察引擎产业概览

由于 IBM Corporation、Mindbreeze GmbH、LucidWorks Inc. 和 Sinequa SAS 等参与者的大量存在，洞察引擎市场适度分散。市场上的供应商还透过使用电脑视觉、语音转文字功能等机器学习功能，以本地方式或透过合作伙伴关係将其内容索引功能的范围扩展到富媒体。

2021 年10 月- Qubit 是一家为行销团队提供人工智慧驱动的客製化技术的供应商，被Coveo 收购，Coveo 是一个致力于透过人工智慧驱动的搜寻、推荐和个人化提供更好的数位体验的相关平台。此次交易可能会加速科维欧在英国和欧洲市场的地理发展。
2021 年 6 月 - IntraFind Software AG 宣布其 iFinder 企业搜寻解决方案已在 Microsoft Azure Marketplace 上提供。开发完成后，使用 Azure 的公司能够存取 IntraFind 解决方案进行企业范围内的资讯搜寻。
2021 年 6 月 - 谷歌着名的 YouTube 影片服务的部分内容正在从广告公司自己的资料中心基础设施转移到该公司的云端服务。此举表明，Google正在将注意力转向内部，因为它的目标是增加其在蓬勃发展的云端运算领域的份额，并减少对其搜寻引擎和其他网站上广告的依赖。
2021 年 3 月 - ServiceNow 推出了新版本的「The Now Platform」。现在，Platform Quebec 发布了新的 Creator Workflows 和 App Engine Studio，以加快数位转型的步伐，使整个企业能够快速开发低程式码应用程序，从而轻鬆应对日常业务挑战。 Now Platform的最新版本包括新的低程式码应用程式开发工具和改进的本机人工智慧功能，使公司能够快速创新，提供卓越的体验并提高生产力。

额外的好处：

Excel 格式的市场估算 (ME) 表
3 个月的分析师支持

公司简介
- 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：投资分析

第 9 章：市场的未来

简介目录

Product Code: 71664

The Insight Engines Market size is estimated at USD 1.8 billion in 2024, and is expected to reach USD 5.75 billion by 2029, growing at a CAGR of 26.16% during the forecast period (2024-2029).

Insight engines can provide contextual information about the fact or entity in question, unlike the usual search engines that offer links to the original source materials. The key use cases of insight engines include internal search, external search, and extraction of data analytics.

Key Highlights

Even though companies apply all types of data and analytics solutions, they cannot satisfy their business goals. Companies continuously seek better ways to gain more business value from the information. Thus, insight engines address this problem by connecting to varied data sources to deliver business-critical insights. According to Accenture, the amount of data available is growing rapidly, amounting to 44 zettabytes. 80% of this data is unstructured (text documents, audio, video, emails, social posts, etc.), and 20% is held in structured systems of some kind. To gain insights from this massive resource and pinpoint what a user or organization requires, the ability to extract facts from documents and store those facts somewhere for simple access is necessary. Search engine giants, like Google and Bing, do this by storing such facts during a 'knowledge graph,' which suits the search engines they have been using for several years.
For many organizations, investing in extracting useful insights from data may be costly. For this, they need to possess their own infrastructure and resources. This is one of the main reasons that many companies consider cognitive search an appropriate solution. According to KDNuggets, an information technology, and services company, organizations are expected to direct approximately 15% of their IT investments toward cognitive search, analytics, and other cloud-based offerings. This investment was predicted to extend to 35% by 2021.
Various end-user industries, such as retail, BFSI, media, and telecommunications, are anticipated to use the insight program in the coming years. For instance, in the BFSI sector, companies are constantly trying to find ways to make banking better, faster, and easier for patrons. This industry plans to use the ability of advanced analytics to derive insights into processes and customers. This will help it know past performances, resulting in better business decisions.
Furthermore, in the wake of COVID-19, insight engines picked up pace as one of the best knowledge discovery options for enterprise search. The market witnessed a significant rise in data generated by enterprise apps. The time spent on developing meaningful insights to make business decisions also increased significantly. To promote its insight engine during the COVID-19 pandemic, major market vendors launched innovative product offerings with advanced features to cater to industry-specific and post-pandemic search requirements.
For instance, in July 2020, Microsoft launched a preview feature of text analytics for healthcare, which enables developers to process and extract insights from unstructured medical data. This feature is a part of Text Analytics in Azure Cognitive Services. It processes a broad range of data types and tasks without time-intensive and manually developed custom models to extract insights from data. According to Microsoft, with this latest offering, users can detect words and phrases mentioned in the unstructured text as entities that can be related to semantic types in the healthcare and biomedical domain. These words include diagnosis, medication name, symptoms, examinations, treatments, dosage, and route of administration.

Insight Engines Market Trends

The BFSI Segment Expected to Hold a Significant Share

Banks deal with a unique set of challenges as they navigate an ever-changing consumer landscape and business expectations. Search technology is at the forefront of making sense of this new world of finance. The variety of data sources for usage has evolved beyond the traditional mix. Enterprise workers at financial institutions need access to data stored in the cloud, behind SaaS services, and other silos. Insight engines scale to billions of documents in various formats and connect to all of the data for real-time access. Insurers increasingly face a regulatory landscape while trying to mitigate game-changing trends like cyber risk and disruptive innovation. Search can help these organizations stay nimble and maintain growth.
Insight engines leverage ML and AI to retrieve relevant results from disparate data repositories. It gives bankers a complete view of their clients by giving them access to annual reports, risk analytics, social media, industry blogs, and many other data points. It also enables informed investment decision-making, opportunity sourcing, and deal origination. Banks have several transactional data and digital interaction points around customer profiles, claims, customer payment history, etc. Insight engines could exploit these massive data repositories to access authentic and reliable credit reports. Banks can proactively leverage these reports to anticipate fraud while uncovering payment irregularities and other unusual activities.
Banks and other financial organizations are also utilizing insight engines to find and parse client sentiment by checking social media and analyzing discussions about their services and strategies with the usage of Natural Language Processing. Financial services analysts can compose increasingly accurate reports and give better advice to customers and internal decision makers with the capacity to get to essential and separated data. Using data to personalize banking improves customer engagement and increases revenue. According to Accenture, a major global bank used personalized insights delivered to customers to increase savings balances by EUR 60 million in just 18 months.
For instance, the third-largest bank in the United States, with 38 million searches and 293 thousand unique users, deployed search apps built with Lucidworks Fusion, and now only 0.14% of queries have zero results, and employees rate its search as the most valuable feature of its intranet. A top five global investment bank built an app with Lucidworks Fusion that searched across 250 million rows, each with 60-70 fields per document and 50 million rows with 1000 fields per document, an entire two billion row collection. Credit Agricole, one of the largest banks in the world, has launched a project to deliver a new digital workplace, where more than 60,000 internal users can know the exact situation of the customer in front of them, which could be utilized to find the most relevant offerings for the customer.

The Asia-Pacific Region Expected to Witness a High Market Growth

Led by countries, such as Japan, China, India, Australia, and South Korea, the Asia-Pacific region is expected to witness the fastest growth in the market. China is one of the major countries in Asia-Pacific with growing technological adoption. The country is home to one of the fastest internet bands and a strong presence of large enterprises, such as Alibaba.
According to UNCTAD.org, China's online share of retail sales rose from 19.4% to 24.6% between August 2019 and August 2020. Thailand saw a 60% jump in the downloads of shopping apps in just one week during March 2020. The trend toward e-commerce uptake in 2020 is likely to be sustained during recovery, which is expected to contribute to the insight engine market to generate demand from retail industry players.
The tripartite (iQiyi, Tencent, and Youku) domination is further secured by the strict regulatory environment in China, which prevents international players, such as the FAANG (Facebook, Amazon, Apple, Netflix, Google), from operating in the country. These international players use an insight engine, especially for recommendations at a large scale, and drive other businesses through advertising. This leaves the region with ample opportunities for domestic players, thus leading to moderate growth as compared to the United States.
Furthermore, emerging markets in countries such as India are expected to provide great opportunities for the market studied during the forecast period as a number of new local players are trying to enter the given market. For instance, in September 2021, GfK, the provider of consumer and market intelligence, analytics, and consulting services, launched gfknewron. It is an integrated, AI-powered software platform. Using gfknewron, companies can access market, consumer, and brand data from a single source of truth. The AI-supported predictions and practical guidance will support sustainable business growth. Gfknewron is an important step in GfK's transformation from a standard market researcher toward an AI-powered data analytics and consulting company.

Insight Engines Industry Overview

The insight engines market is moderately 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.

October 2021 - Qubit, a supplier of AI-powered customization technology for merchandising teams, was purchased by Coveo, a relevant platform that strives to better digital experiences through AI-powered search, recommendations, and personalization. Coveo's geographic development into the UK and European markets is likely to be accelerated due to the transaction.
June 2021 - IntraFind Software AG announced that its iFinder Enterprise Search solution is available on the Microsoft Azure Marketplace. Following the development, companies using Azure were able to access the IntraFind solution for enterprise-wide information search.
June 2021 - Parts of Google's famous YouTube video service are being moved to the company's cloud service from the advertising company's own data center infrastructure. The move shows that Google is turning its attention inward as it aims to increase its part in the booming cloud-computing sector and become less reliant on adverts on its search engine and other sites.
March 2021 - ServiceNow introduced the new version of 'The Now Platform.' Now Platform Quebec release features new Creator Workflows and App Engine Studio to accelerate the pace of digital transformation, enabling fast lowcode app development across the enterprise to easily workflow everyday business challenges. The latest edition of the Now Platform includes new low-code app development tools and improved native AI capabilities, enabling companies to innovate rapidly, offer excellent experiences, and increase productivity.

Additional Benefits:

The market estimate (ME) sheet in Excel format
3 months of analyst support

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-Pacific
- 6.5.4 Latin America
- 6.5.5 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.