市场调查报告书
商品编码
1390785
2023-2028 年按解决方案、分析工具、部署模式、业务功能、组织规模、垂直产业和区域分類的嵌入式分析市场报告Embedded Analytics Market Report by Solution, Analytics Tools, Deployment Mode, Business Function, Organization Size, Industry Vertical, and Region 2023-2028 |
2022年全球嵌入式分析市场规模达到546亿美元。展望未来, IMARC Group预计到2028年市场规模将达到1,173亿美元,2022-2028年复合年增长率(CAGR)为13.59%。人工智慧 (AI) 和机器学习 (ML) 功能的日益融合、对资料安全性和合规性的需求不断增长,以及自助服务分析的吸引力不断增强,使最终用户能够在不依赖IT 团队的情况下创建报告和分析资料是推动市场的一些主要因素。
嵌入式分析是指将资料分析和视觉化工具直接整合到软体应用程式或平台中。这种策略方法使用户能够在熟悉的工作环境中无缝存取数据驱动的见解并与之互动。它透过提供即时资料和相关报告来增强决策,使企业能够快速回应不断变化的情况。此外,它还透过减少应用程式之间切换的需要来促进用户参与,从而提高生产力。
目前,医疗保健行业对嵌入式分析的需求不断增长,因为它可以在电子健康记录 (EHR) 系统中使用,以帮助临床医生有效地存取患者资料,从而推动了市场的成长。此外,随着企业累积大量资料,对嵌入式分析工具的需求也在成长。复杂的资料需要复杂的分析解决方案,可以在特定应用程式中提供可操作的见解。此外,企业需要即时资料洞察才能快速做出明智的决策。嵌入式分析透过将资料分析直接整合到操作工作流程中来实现这一点。除此之外,公司认识到数据驱动的决策为他们带来了竞争优势,从而加强了市场的成长。
对资料安全性和合规性的需求不断增长
资料安全和合规性法规,例如一般资料保护规范 (GDPR) 和健康保险流通与责任法案 (HIPAA),正变得至关重要。嵌入式分析解决方案旨在确保资料隐私和合规性,这对于处理医疗保健和金融等敏感资讯的行业尤其重要。这一因素推动了嵌入式分析的采用,作为一种在不影响完整性的情况下利用资料洞察的安全手段。此外,嵌入式分析解决方案通常采用加密技术来保护传输和预存程序中的资料。这表示资料会转换为不可读的程式码,只能使用适当的解密金钥进行解密,确保即使被拦截,资料仍然安全。
自助服务分析的吸引力不断增强
自助分析使最终用户能够建立报告并分析资料,而无需依赖 IT 团队。嵌入式分析通常包括自助服务功能,使其可供更广泛的用户使用。资料分析的民主化正在促进创新并推动市场成长。此外,使用者可以透过自助分析即时取得洞察,无需等待 IT 团队产生报告。这种速度对于做出敏捷决策和快速反应市场变化至关重要。此外,自助分析工具允许使用者根据自己的特定需求和偏好自订报告和仪表板。这种灵活性可确保见解具有相关性并根据个别业务需求进行客製化。
人工智慧 (AI) 和机器学习 (ML) 的日益融合
嵌入式分析正在不断发展,以整合人工智慧 (AI) 和机器学习 (ML) 功能。这可以在应用程式中实现自动洞察、异常检测和预测分析,进一步增强其对寻求利用先进分析技术的行业的吸引力。人工智慧和机器学习演算法可以分析历史资料模式并预测未来趋势。透过在应用程式中嵌入预测分析,使用者可以获得主动的见解和建议,从而做出更明智的决策。除此之外,人工智慧驱动的嵌入式分析可以识别资料中的异常或不规则之处,这可以表明潜在的问题或机会。此外,人工智慧和机器学习可以快速、全面地分析大量资料集,使用户能够更深入地了解复杂情况。
IMARC Group提供了每个细分市场的主要趋势的分析,以及 2023 年至 2028 年全球、区域和国家层面的预测。我们的报告根据解决方案、分析工具、部署模式、业务功能、组织规模和行业垂直对市场进行了分类。
软体
服务
服务主导市场
该报告根据解决方案提供了详细的市场细分和分析。这包括软体和服务。报告称,服务业占最大部分。
嵌入式分析服务将资料分析和视觉化功能无缝整合到现有应用程式、平台或工作流程中。这种整合对于企业至关重要,因为它可以最大程度地减少中断,并允许用户无需在不同工具或介面之间切换即可获取见解。这些服务用户友好,并根据目标受众的特定需求和专业水平量身定制,使非技术用户能够轻鬆存取和理解数据驱动的见解。它们提供即时资料存取和分析,这对于寻求在快节奏的业务环境中及时做出决策的组织来说非常宝贵。这种即时能力支援敏捷决策。
仪表板和数据视觉化
自助服务工具
基准化分析
报告
仪表板和资料视觉化占据市场最大份额
报告还提供了基于分析工具的详细市场区隔和分析。这包括仪表板和资料视觉化、自助服务工具、基准测试和报告。根据该报告,仪表板和资料视觉化占据了最大的市场份额,因为图表、图形和地图等资料的可视化表示使复杂的资讯更容易简单地理解。这种清晰度对于使用者快速掌握趋势、模式和见解至关重要。仪表板提供即时或近即时的资料更新。此功能使用户能够即时监控关键绩效指标 (KPI) 和关键指标,从而更轻鬆地及时回应变化。
本地
基于云端
基于云端的市场占据最大份额
报告还根据部署模式对市场进行了详细的细分和分析。这包括本地和基于云端的。报告称,基于云端的占据了最大的市场份额。
基于云端的分析工具可以轻鬆扩展,以适应不断增长的资料量和用户需求。这种可扩展性确保组织可以适应不断变化的需求,而无需进行大量基础设施投资。这些工具通常以订阅或即用即付模式运行,无需在硬体和软体上进行前期资本支出。这种成本结构可以更加节省预算,特别是对于中小型企业而言。基于云端的解决方案的部署速度比本地解决方案快得多。这种敏捷性使组织能够开始分析资料并获得见解,而无需漫长的实施时间。
金融
人力资源(HR)
行销与销售
生产
其他的
行销和销售占市场最大份额
报告还根据业务功能对市场进行了详细的细分和分析。这包括财务、人力资源 (HR)、行销和销售、生产等。报告显示,行销和销售占据了最大的市场份额。
嵌入式分析工具提供对可用于做出明智决策的资料的存取。行销和销售专业人员可以分析客户行为、市场趋势和绩效指标,以指导他们的策略和战术。它们使团队能够根据具体资料做出明智的决策,而不是依赖直觉或过去的实践。此外,行销团队可以使用嵌入式分析来更精确地细分客户群。这样可以开展与特定客户群产生共鸣的个人化行销活动,从而提高转换率。
中小企业 (SME)
大型企业
报告还根据组织规模对市场进行了详细的细分和分析。这包括中小企业(SME)和大型企业。
中小型企业 (SME) 越来越多地转向嵌入式分析工具,因为它们使中小企业能够做出明智的决策。透过分析现有软体应用程式中的资料,他们可以深入了解客户偏好、市场趋势和营运效率。这符合市场研究公司推广数据驱动策略的目标。透过利用嵌入式分析,中小企业可以发现利基机会,更好地了解竞争对手,并在市场中保持领先地位。
嵌入式分析为大型企业提供现有系统中的即时资料洞察。这为决策者提供了准确、及时的信息,促进更好的策略选择,并与市场研究公司对数据驱动策略的重视保持一致。在竞争激烈的市场中,大企业需要保持领先地位。嵌入式分析使他们能够更深入地了解市场趋势、客户行为和营运效率。这有助于发现成长机会并保持竞争优势,这是市场研究和咨询服务行业的一个重要方面。
BFSI
资讯科技和电信
零售和消费品
医疗保健和生命科学
製造业
政府
能源和公用事业
其他的
BFSI 在市场上表现出明显的主导地位
该报告还提供了基于 BFSI 的详细市场细分和分析。这包括 BFSI、IT 和电信、零售和消费品、医疗保健和生命科学、製造、政府、能源和公用事业等。报告称,BFSI 占据了最大的市场份额,因为嵌入式分析有助于 BFSI 机构更有效地评估和管理风险。透过即时分析大量金融资料,这些工具使银行和保险公司能够识别潜在风险并采取主动措施来减轻风险。此外,嵌入式分析可以侦测金融交易中的异常模式和异常情况,有助于及早发现和预防诈骗活动,这对于维护信任和诚信至关重要。
北美洲
美国
加拿大
亚太
中国
日本
印度
韩国
澳洲
印尼
其他的
欧洲
德国
法国
英国
义大利
西班牙
俄罗斯
其他的
拉丁美洲
巴西
墨西哥
其他的
中东和非洲
北美表现出明显的主导地位,占据最大的嵌入式分析市场份额
市场研究报告还对所有主要区域市场进行了全面分析,其中包括北美(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。报告称,北美占据最大的市场份额。
北美拥有发达的技术基础设施。这包括强大的资料中心、高速网路存取和广泛的云端运算采用。这些因素为嵌入式分析解决方案的部署创造了理想的环境。该地区拥有众多科技中心和创新中心,例如加州的硅谷和麻萨诸塞州的波士顿-剑桥地区。这些生态系统促进创新并推动尖端分析工具的开发。
嵌入式分析市场的主要参与者越来越多地将人工智慧 (AI) 和机器学习 (ML) 功能整合到他们的解决方案中。这使企业能够从资料中获得更深入的见解并做出更准确的预测。他们还推出了基于云端的嵌入式分析解决方案,该解决方案具有更高的可扩展性、可存取性和即时资料分析能力,使组织能够更轻鬆地部署和管理分析工具。此外,领先的公司正在开发用户友好的介面,使非技术用户能够创建和自订报告和仪表板,从而减少对 IT 团队的依赖。此外,主要参与者正在其嵌入式分析解决方案中投资强大的资料治理功能,以确保遵守资料隐私法规并维护资料完整性。
Infor(科氏工业公司)
国际商业机器公司
Logi Analytics Inc.(Insightsoftware Inc.)
微软公司
开放文字公司
甲骨文公司
QlikTech 国际公司
SAP系统公司
西森公司
Tableau Software LLC(Salesforce.com Inc)
TIBCO 软体公司
黄鳍鲔鱼
(请注意,这只是关键参与者的部分列表,报告中提供了完整列表。)
2022 年 7 月,TIBCO 软体宣布对 TIBCO 云端整合进行重大增强,这是 TIBCO 云端提供的业界认可的 iPaaS 产品,扩大了跨混合环境整合应用程式、资料和装置的潜力,帮助客户在动荡的环境中加速业务发展成果。
2022 年 10 月,Oracle 宣布在其全面的资料和分析解决方案组合中推出一系列新产品创新,以帮助客户做出更快、更好的决策。
2021 年 4 月,国际商业机器公司宣布了其储存产品组合的重大创新,旨在改善日益复杂的混合云环境中的资料存取和管理,以提高资料可用性和弹性。
The global embedded analytics market size reached US$ 54.6 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 117.3 Billion by 2028, exhibiting a growth rate (CAGR) of 13.59% during 2022-2028. The growing incorporation of artificial intelligence (AI) and machine learning (ML) capabilities, rising demand for data security and compliance, and increasing traction of self-service analytics that empowers end-users to create their reports and analyze data without relying on IT teams are some of the major factors propelling the market.
Embedded analytics refers to the integration of data analysis and visualization tools directly into a software application or platform. This strategic approach empowers users to access and interact with data-driven insights seamlessly within their familiar work environment. It enhances decision-making by providing real-time data and relevant reports, enabling businesses to respond swiftly to changing circumstances. Additionally, it fosters user engagement by reducing the need to switch between applications, thus improving productivity.
At present, the increasing demand for embedded analytics in the healthcare industry, as it can be used within electronic health records (EHR) systems to help clinicians access patient data efficiently is propelling the growth of the market. In addition, as businesses are accumulating vast amounts of data, the need for embedded analytics tools is growing. Complex data requires sophisticated analytics solutions that can provide actionable insights within specific applications. Moreover, businesses require real-time data insights to make informed decisions swiftly. Embedded analytics enables this by integrating data analysis directly into operational workflows. Besides this, companies are recognizing that data-driven decision-making is giving them a competitive edge, which is strengthening the growth of the market.
Increasing demand for data security and compliance
Data security and compliance regulations, such as General Data Protection Regulation (GDPR) and Health Insurance Portability and Accountability Act (HIPAA), are becoming paramount. Embedded analytics solutions are designed to ensure data privacy and compliance, which is particularly crucial in industries handling sensitive information like healthcare and finance. This factor drives the adoption of embedded analytics as a secure means to leverage data insights without compromising integrity. In addition, embedded analytics solutions typically employ encryption techniques to safeguard data during transmission and storage. This means that data is transformed into unreadable code that can only be deciphered with the appropriate decryption keys, ensuring that even if intercepted, the data remains secure.
Rising traction of self-service analytics
Self-service analytics empowers end-users to create their reports and analyze data without relying on IT teams. Embedded analytics often includes self-service features, making it accessible to a broader range of users. This democratization of data analysis is fostering innovation and driving the market growth. Moreover, users can obtain insights in real-time through self-service analytics, eliminating the need to wait for IT teams to generate reports. This speed is critical for making agile decisions and responding quickly to market changes. Moreover, self-service analytics tools allow users to customize reports and dashboards according to their specific needs and preferences. This flexibility ensures that insights are relevant and tailored to individual business requirements.
Growing incorporation of Artificial Intelligence (AI) and Machine Learning (ML)
Embedded analytics is evolving to incorporate artificial intelligence (AI) and machine learning (ML) capabilities. This enables automated insights, anomaly detection, and predictive analytics within applications, further enhancing its appeal across industries seeking to leverage advanced analytics techniques. AI and ML algorithms can analyze historical data patterns and make predictions about future trends. By embedding predictive analytics within applications, users can receive proactive insights and recommendations, enabling them to make more informed decisions. Besides this, AI-powered embedded analytics can identify anomalies or irregularities in data, which can be indicative of potential issues or opportunities. Furthermore, AI and ML can analyze vast datasets quickly and comprehensively, providing users with a deeper understanding of complex situations.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional and country levels from 2023-2028. Our report has categorized the market based on solution, analytics tool, deployment mode, business function, organization size and industry vertical.
Software
Services
Services dominates the market
The report has provided a detailed breakup and analysis of the market based on the solution. This includes software and services. According to the report, services represented the largest segment.
Embedded analytics services seamlessly integrate data analysis and visualization capabilities into existing applications, platforms, or workflows. This integration is critical for businesses as it minimizes disruption and allows users to access insights without switching between different tools or interfaces. These services are user-friendly and tailored to the specific needs and expertise levels of the target audience, enabling non-technical users to access and understand data-driven insights easily. They provide real-time data access and analysis, which is invaluable for organizations seeking to make timely decisions in a fast-paced business environment. This real-time capability supports agile decision-making.
Dashboard and Data Visualization
Self-service Tools
Benchmarking
Reporting
Dashboard and data visualization holds the largest share in the market
A detailed breakup and analysis of the market based on the analytics tool has also been provided in the report. This includes dashboard and data visualization, self-service tools, benchmarking, and reporting. According to the report, dashboard and data visualization accounted for the largest market share as visual representations of data, such as charts, graphs, and maps, make complex information easier to understand briefly. This clarity is essential for users to quickly grasp trends, patterns, and insights. Dashboards provide real-time or near-real-time data updates. This feature enables users to monitor key performance indicators (KPIs) and critical metrics in real-time, making it easier to respond to changes promptly.
On-premises
Cloud-based
Cloud-based holds the biggest share in the market
A detailed breakup and analysis of the market based on the deployment mode have also been provided in the report. This includes on-premises and cloud-based. According to the report, cloud-based accounted for the largest market share.
Cloud-based analytics tools can easily scale to accommodate growing data volumes and user needs. This scalability ensures that organizations can adapt to changing demands without the need for significant infrastructure investments. These tools often operate on a subscription or pay-as-you-go model, eliminating the need for upfront capital expenditures on hardware and software. This cost structure can be more budget-friendly, especially for small and medium-sized businesses. Cloud-based solutions can be deployed much faster than on-premises counterparts. This agility enables organizations to start analyzing data and gaining insights without lengthy implementation timelines.
Finance
Human Resources (HR)
Marketing and Sales
Production
Others
Marketing and sales account for the largest share in the market
A detailed breakup and analysis of the market based on the business function have also been provided in the report. This includes finance, human resources (HR), marketing and sales, production, and others. According to the report, marketing and sales accounted for the largest market share.
Embedded analytics tools provide access to data that can be used to make informed decisions. Marketing and sales professionals can analyze customer behavior, market trends, and performance metrics to guide their strategies and tactics. They empower teams to make informed decisions based on concrete data rather than relying on intuition or past practices. In addition, marketing teams can use embedded analytics to segment their customer base more precisely. This allows for personalized marketing campaigns that resonate with specific customer groups, leading to higher conversion rates.
Small and Medium-sized Enterprises (SMEs)
Large Enterprises
A detailed breakup and analysis of the market based on the organization size have also been provided in the report. This includes small and medium-sized enterprises (SMEs) and large enterprises.
Small and Medium-sized Enterprises (SMEs) are increasingly turning to embedded analytics tools as they empower SMEs to make informed decisions. By analyzing data within their existing software applications, they gain insights into customer preferences, market trends, and operational efficiency. This aligns with the market research company's goal of promoting data-driven strategies. By leveraging embedded analytics, SMEs can identify niche opportunities, understand their competitors better, and stay ahead in the market.
Embedded analytics provide large enterprises with real-time data insights within their existing systems. This empowers decision-makers with accurate and timely information, facilitating better strategic choices and aligning with the market research company's emphasis on data-driven strategies. In highly competitive markets, large enterprises need to stay ahead. Embedded analytics enable them to gain deeper insights into market trends, customer behavior, and operational efficiency. This helps in identifying opportunities for growth and maintaining a competitive edge, a crucial aspect of the market research and consulting services sector.
BFSI
IT and Telecommunication
Retail and Consumer Goods
Healthcare and Life Sciences
Manufacturing
Government
Energy and Utilities
Others
BFSI exhibits a clear dominance in the market
A detailed breakup and analysis of the market based on the BFSI have also been provided in the report. This includes BFSI, IT and telecommunication, retail and consumer goods, healthcare and life sciences, manufacturing, government, energy and utilities, and others. According to the report, BFSI accounted for the largest market share as embedded analytics help BFSI institutions assess and manage risks more effectively. By analyzing vast amounts of financial data in real-time, these tools enable banks and insurance companies to identify potential risks and take proactive measures to mitigate them. In addition, embedded analytics can detect unusual patterns and anomalies in financial transactions, aiding in the early detection and prevention of fraudulent activities, which is essential for maintaining trust and integrity.
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
North America exhibits a clear dominance, accounting for the largest embedded analytics market share
The market research 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 accounted for the largest market share.
North America boasts a well-developed technological infrastructure. This includes robust data centers, high-speed internet access, and widespread cloud computing adoption. These factors create an ideal environment for the deployment of embedded analytics solutions. The region is home to numerous tech hubs and innovation centers, such as Silicon Valley in California and the Boston-Cambridge area in Massachusetts. These ecosystems foster innovation and drive the development of cutting-edge analytics tools.
Key players in the embedded analytics market are increasingly integrating artificial intelligence (AI) and machine learning (ML) capabilities into their solutions. This empowers businesses to gain deeper insights from data and make more accurate predictions. They are also introducing cloud-based embedded analytics solutions, which allow for greater scalability, accessibility, and real-time data analysis, making it easier for organizations to deploy and manage analytics tools. In addition, leading companies are developing user-friendly interfaces that empower non-technical users to create and customize reports and dashboards, reducing the reliance on IT teams. Furthermore, key players are investing in robust data governance features within their embedded analytics solutions to ensure compliance with data privacy regulations and maintain data integrity.
Infor (Koch Industries Inc.)
International Business Machines Corporation
Logi Analytics Inc. (Insightsoftware Inc.)
Microsoft Corporation
Open Text Corporation
Oracle Corporation
QlikTech International AB
SAP SE
Sisense Inc.
Tableau Software LLC (Salesforce.com Inc)
TIBCO Software Inc.
Yellowfin
(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)
In July 2022, TIBCO software announced significant enhancements to TIBCO cloud integration, its industry-recognized iPaaS offering by TIBCO cloud, which expands the potential for integration of applications, data, and devices across hybrid environments, assisting customers grappling in a volatile to accelerate business outcomes.
In Oct 2022, Oracle announced a series of new product innovations across its comprehensive portfolio of data and analytics solutions to help customers make faster, better decisions.
In April 2021, International Business Machines Corporation announced major innovations across its storage portfolio designed to improve the access to, and management of, data across increasingly complex hybrid cloud environments for greater data availability and resilience.