市场调查报告书
商品编码
1384627
增强分析全球市场规模、份额、行业趋势分析报告:按公司类型、最终用户、地区分類的展望和预测,2023-2030 年Global Augmented Analytics Market Size, Share & Industry Trends Analysis Report By Enterprise Type (Large Enterprises, Small & Medium Enterprises), By End User, By Regional Outlook and Forecast, 2023 - 2030 |
到 2030 年,增强分析市场规模预计将达到 702 亿美元,预测期内市场成长率为 22.3%。
根据 KBV Cardinal 矩阵中的分析,微软公司是该市场的领导者。 Oracle公司、SAP SE 和 IBM 公司等公司是该市场的主要创新者。例如,2023 年 6 月,Salesforce, Inc. 与 Google 提供的云端平台 Google Cloud 合作。两家公司旨在透过将资料和人工智慧工具整合到 CRM 系统中,帮助企业增强 CRM 系统。
市场成长要素
各产业数位转型带来的需求不断增加
作为数位转型工作的一部分,公司收集并累积了无数资料。您需要先进的分析工具来获得有意义的资讯并推动明智的决策。具有自动化和预测功能的分析工具可以帮助企业有效地利用这些资料。数位转型通常着重于改善客户体验。透过分析客户资料并了解偏好和行为,数位转型可以在这方面发挥关键作用。这使组织能够提供更个人化和量身定制的体验,作为其数位转型配合措施的核心部分。数位转型通常包括采用云端技术和扩展数位基础设施。这将增加对强大资料安全性以及遵守 GDPR 和 HIPAA 等法律的需求。这些工具提供先进的安全功能来保护敏感资料并确保法规遵循。因此,这些因素可能会推动未来几年对这些分析的需求。
增强分析解决方案的使用者友善性
这些工具的使用者友善性意味着它们可以被更广泛的专业人士使用,而不仅仅是资料科学家和分析师。这扩大了增强分析的潜在用户群,并提高了其在各个行业和部门的采用率。传统的资料分析方法通常需要大量的培训和专业知识,限制了能够有效使用这些工具的人数。增强分析降低了技能障碍,使具有不同技术专长水平的专业人员可以进行资料分析。这意味着组织中更多的人无需进行大量培训就可以主动进行资料分析,从而加快采用过程。资料分析的民主化促进了组织内资料驱动文化的发展。当不同层级的员工可以轻鬆存取和分析资料时,它就成为决策流程的重要组成部分。这些文化转变培养了更具创新性和敏捷性的组织。因此,这些因素预计将有助于未来几年的市场扩张。
市场抑制因素
人们对资料隐私和安全的担忧日益加深
更严格的资料隐私法规,例如欧洲的 GDPR 和加州的 CCPA,要求公司遵守严格的资料保护措施。遵守这些法规通常需要庞大的成本,包括在资料加密、安全储存和法律咨询方面的投资。这增加了实施这些解决方案的总体成本,并可能阻止一些组织实施它们。资料隐私措施的增加可能会使增强分析工具难以存取和分析某些资讯,资料是当涉及个人或敏感资讯时。这种限制可能会妨碍全面的资料分析并减少产生的潜在见解。组织必须仔细管理资料存取、权限和加密以确保合规性。由于这种复杂性,实施和维护这些工具可能很困难。由于这些因素,未来几年对增强分析市场的需求可能会下降。
公司类型展望
根据公司类型,市场分为大型企业和小型企业。 2022年,中小企业部门在市场中获得了可观的收益占有率。这些解决方案变得越来越经济实惠,可供中小型企业使用。许多供应商提供云端基础的订阅模式,允许小型企业存取先进的分析工具,而无需在硬体或软体上进行大量的前期投资。这种成本效益是中小型企业实施增强分析的强大动力。因此,该细分市场将在未来几年内快速成长。
最终用户前景
按最终用户划分,市场分为 BFSI、IT 和电信、政府、零售、医疗保健、製造、运输和物流、能源和公用事业等。 BFSI 细分市场在 2022 年创下了最大的收益占有率。在竞争激烈且资料为中心的银行和金融领域,资料主导的决策至关重要。 BFSI部门专注于风险评估和管理。增强分析有助于预测建模和识别潜在风险。这使得金融机构能够创建更准确的风险状况并快速回应市场波动。因此,该行业的需求可能会增加。
区域展望
从区域来看,市场分为北美、欧洲、亚太地区和拉丁美洲地区。 2022 年,北美市场的收益占有率最高。该地区正在见证人工智慧 (AI)、机器学习和自然语言处理 (NLP) 等先进技术的开发和采用激增。该地区了解资料分析对于获得竞争优势和做出资讯决策的重要性。人工智慧非常适合这种环境,因为它提供了一种更容易存取和更有效的资料分析方法。由于这些方面,预计北美市场的需求将会增加。
The Global Augmented Analytics Market size is expected to reach $70.2 billion by 2030, rising at a market growth of 22.3% CAGR during the forecast period.
Businesses in the retail sector must comprehend consumer behavior and preferences. Augmented analytics helps retailers make data-driven decisions that improve efficiency and reduce operational costs. Consequently, the retail segment captured $2,248.3 in the market in 2022. Retailers are leveraging augmented analytics to gain deeper insights into their operations. They use data analysis to optimize inventory management, supply chain processes, and pricing strategies. Augmented analytics tools enable retailers to analyze large volumes of customer data, such as purchase history, online behavior, and feedback. This analysis helps retailers personalize marketing efforts and enhance the customer experience.
The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In October, 2023, MicroStrategy, Inc. partnered with Microsoft, to integrate its advanced analytics capabilities Microsoft's with Azure OpenAI Service. The partnership aids MicroStrategy in strengthening its analytics platform, MicroStrategy ONE. However, In August, 2023, IBM Corporation partnered with Salesforce, an American software company, to aid businesses worldwide in AI integration into their CRM systems.
Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation is the forerunner in the Market. Companies such as Oracle Corporation, SAP SE, IBM Corporation are some of the key innovators in the Market. For Instance, In June, 2023, Salesforce, Inc. came into partnership with Google Cloud, a cloud platform offered by Google. The two companies aimed to facilitate businesses in enhancing their CRM systems by including data and AI tools in them.
Market Growth Factors
Rising Demand Due to Digital Transformation Across Industries
Countless amounts of data are being gathered and stored by enterprises as part of digital transformation activities. They require advanced analytics tools to extract meaningful insights and drive informed decisions. With its automation and predictive capabilities, it helps organizations leverage this data effectively. Digital transformation often focuses on improving the customer experience. It plays a crucial role in this by analyzing customer data to understand preferences and behaviors. This enables organizations to provide more personalized and tailored experiences central to digital transformation efforts. Digital transformation often involves adopting cloud technologies and expanding digital infrastructures. This enhances the requirement for strong data security and adherence to laws like GDPR and HIPAA. These tools offer advanced security features to protect sensitive data and ensure regulatory compliance. Therefore, these factors will drive the demand for these analytics in the coming years.
User-Friendly Nature of Augmented Analytics Solutions
The user-friendly nature of these tools means that a broader range of professionals, beyond data scientists and analysts, can use these tools. This widens the potential user base for augmented analytics, increasing its adoption across various industries and sectors. Traditional data analysis methods often required extensive training and expertise, limiting the number of individuals who could effectively use these tools. It lowers the skill barriers, making data analysis accessible to professionals with varying levels of technical expertise. This means that more people within an organization can actively engage in data analysis without undergoing extensive training, thus speeding up the adoption process. The democratization of data analysis encourages the development of a data-driven culture within organizations. When employees at various levels can easily access and analyze data, it becomes an integral part of their decision-making processes. This cultural shift fosters a more innovative and agile organization. As a result, these factors will help in the expansion of the market in the coming years.
Market Restraining Factors
Rising Concerns Over Data Privacy and Security
Stricter data privacy regulations, such as GDPR in Europe and CCPA in California, require organizations to adhere to stringent data protection measures. Complying with these regulations often entails significant costs, including investments in data encryption, secure storage, and legal consultation. This can increase the overall cost of implementing these solutions, discouraging some organizations from adopting them. Enhanced data privacy measures can make it more challenging for augmented analytics tools to access and analyze certain data, especially when it contains personal or sensitive information. This limitation can hinder the comprehensive data analysis, reducing the potential insights generated. Organizations must carefully manage data access, permissions, and encryption to ensure compliance. Due to this complexity, the implementation and maintenance of these tools may be difficult. Owing to these factors, the augmented analytics market can witness decreased demand in the upcoming years.
Enterprise Type Outlook
Based on enterprise type, the market is segmented into large enterprises and small & medium enterprises. In 2022, the small and medium enterprises segment garnered a significant revenue share in the market. These solutions are becoming increasingly affordable and accessible to SMEs. Many vendors offer cloud-based, subscription-based models, allowing SMEs to access advanced analytics tools without substantial upfront investments in hardware or software. This cost-effectiveness is a significant incentive for SMEs to adopt augmented analytics. Therefore, the segment will grow rapidly in the upcoming years.
End User Outlook
On the basis of end user, the market is divided into BFSI, IT & telecom, government, retail, healthcare, manufacturing, transport & logistics, energy & utility, and others. The BFSI segment recorded the maximum revenue share in the market in 2022. In the highly competitive and data-centric world of banking and finance, data-driven decision-making is imperative. The BFSI sector places a strong emphasis on risk assessment and management. Augmented analytics aids in predictive modeling and the identification of potential risks. It enables financial institutions to create more accurate risk profiles and react swiftly to market fluctuations. As a result, there will be increased demand in the segment.
Regional Outlook
By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. The North America segment procured the highest revenue share in the market in 2022. The region has seen a surge in developing and adopting advanced technologies, including artificial intelligence (AI), machine learning, and natural language processing (NLP). They understand the importance of data analysis in gaining a competitive edge and making informed decisions. It offers a more accessible and efficient way to analyze data, making it a natural fit for this environment. These aspects are expected to increase the demand in the North America segment.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include QlikTech International AB, Salesforce Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, TIBCO Software Inc., SAP SE, SAS Institute Inc., MicroStrategy, Inc. and Alteryx, Inc.
Recent Strategies Deployed in Augmented Analytics Market
Partnerships, Collaborations & Agreements:
Oct-2023: MicroStrategy, Inc. partnered with Microsoft, an American technology company, to integrate its advanced analytics capabilities Microsoft's with Azure OpenAI Service. The partnership aids MicroStrategy in strengthening its analytics platform, MicroStrategy ONE.
Aug-2023: IBM Corporation partnered with Salesforce, an American software company, to aid businesses worldwide in AI integration into their CRM systems. The partnership would help the joint customers of the companies to meet their business needs using the power of generative AI.
Jun-2023: Salesforce, Inc. came into partnership with Google Cloud, a cloud platform offered by Google. The two companies aimed to facilitate businesses in enhancing their CRM systems by including data and AI tools in them.
May-2023: SAP SE entered a partnership with Accenture, an Irish IT company, to develop business models based on the SAP Business Technology Platform (SAP BTP). The models developed as a result of this partnership would aid their customers to streamline and improve their business operations.
May-2023: SAP SE signed a partnership with Google Cloud, a cloud platform offered by Google, to integrate Google Cloud's Data and Analytics Technology with SAP's portfolio. The partnership enables SAP to serve its customers in a better way by providing them with a portfolio that would simplify the data landscapes, perform advanced analysis, and provide quick access to important business-related data.
Jul-2021: IBM Corporation partnered with SAP SE, a German software company, to facilitate the IBM cloud adoption in the financial services industry by integrating IBM cloud with SAP's portfolio of finance and data management solutions. The partnership aids IBM in serving its customers in a better way by helping them increase operational efficiencies through the use of the cloud.
Jun-2021: Salesforce, Inc. signed a partnership with Amazon Web Services, Inc., a subsidiary of Amazon, to provide customers with digital transformation solutions. The companies aimed to achieve the objective by unifying their respective offerings.
May-2021: SAP extended its partnership with Team Liquid, a leading worldwide professional esports organization. By using the power of SAP HANA, predictive & and machine learning functionalities, and the SAP Business Technology Platform, Team Liquid would more rapidly and efficiently evaluate opponents' approaches.
Jan-2021: SAS extended its 40-year partnership with the US Food and Drug Administration (FDA). Under this expansion, SAS aimed to expand its capabilities in natural language processing, AI, and ML capabilities via the SAS Viya platform with the support of the FDA's mission as an important public health agency. This partnership would help FDA to advance CDER's initiative to modernize drug regulatory programs, better meet the centre's mission, and offer analytically driven drug manufacturing facility surveillance via other core initiatives.
Product Launches and Product Expansions:
Oct-2023: MicroStrategy, Inc. released MicroStrategy AI, a tool that facilitates users to smoothly integrate generative AI into their data applications. The capabilities of the tool include Auto Answers, Auto Dashboard., Auto SQL, and Auto Expert.
Sep-2023: Oracle Corporation released new AI-powered capabilities for its Oracle Analytics Cloud. The new features utilize Oracle Cloud Infrastructure (OCI) Generative AI service to aid analytics self-service users in conducting sophisticated analysis in a quicker way. The new capabilities include Generative AI Data Interactions, AI-Powered Document Understanding, Contextual Insights, and Collaboration Software Integrations.
Sep-2023: Oracle Corporation released Fusion Data Intelligence Platform, an AI-powered business tool for providing 360-degree data models and enhanced interactive analytics. The tool combines data-driven insights with intelligent decisions and actions for delivering better business outcomes.
Jun-2023: QlikTech International AB released Qlik OpenAI Analytics Connector, a suite of OpenAI connectors that helps users to bring Generative AI content into Qlik that would facilitate a wide variety of cloud analytics. Using the product, Users would be able to integrate powerful natural language insights directly from OpenAI into analytics apps and conduct direct queries of ChatGPT augmented with data from Qlik.
May-2023: Microsoft Corporation unveiled Microsoft Fabric, an end-to-end, unified analytics platform that aids organizations with all the data and analytics tools they need. The fabric features seven workloads namely, Data Factory, Synapse Data Engineering, Synapse Data Science, Synapse Data Warehousing, Synapse Real-Time Analytics, Power BI, and Data Activator.
Mar-2023: Salesforce, Inc. unveiled Einstein GPT. The Einstein GPT is an AI-powered CRM technology used for delivering AI-created content at a hyper-scale across different interactions. The Einstein GPT features Salesforce's unique AI models and compatibility with Salesforce Data Cloud.
Feb-2023: Alteryx, Inc. announced new features for the Alteryx Analytics Cloud Platform. The new features include the Alteryx Designer Cloud interface, Reporting functionality, and Alteryx Metrics Store.
Nov-2022: IBM Corporation announced the launch of IBM Business Analytics Enterprise. The Business Analytics Enterprise is a collection of business intelligence services used for planning, forecasting, and reporting for a business. The Business Analytics Enterprise features IBM Analytics Content Hub that provides analytics and planning dashboards, it features algorithms used for advising role-based content for assistance in decision making.
Mergers & Acquisition:
May-2023: IBM Corporation announced the acquisition of Polar Security, an Israeli software company. The acquisition enhances IBM's Security Guardium platform.
Feb-2022: Alteryx, Inc. took over Trifacta, a software company headquartered in the United States. The acquisition makes Alteryx a special provider of a comprehensive offering of end-to-end automated analytics solutions.
Sep-2021: QlikTech International AB acquired Big Squid, a provider of no-code automated machine learning (AutoML). The acquisition allows QlikTech to provide the industry's most robust augmented analytics capabilities suite for cloud analytics and reinforces its vision of Active Intelligence.
Jan-2021: Tibco Software, Inc. announced the acquisition of Information Builders, Inc., a data analytics solutions provider. The acquisition enhances TIBCO's offerings by adding Information Builders' data analytics and management capabilities to TIBCO's Connected Intelligence platform.
Jan-2021: SAS acquired Boemska, a privately held technology company. This acquisition aimed to improve SAS Viya, a cloud-native, advanced analytics platform, with enriching capabilities that accelerate SAS' objective of supporting the whole analytics life cycle and facilitating customer transformation to the cloud.
Market Segments covered in the Report:
By Enterprise Type
By End User
By Geography
Companies Profiled
Unique Offerings from KBV Research