市場調查報告書
商品編碼
1384627
增強分析全球市場規模、佔有率、行業趨勢分析報告:依公司類型、最終用戶、地區分類的展望和預測,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,增強分析市場規模預計將達到 702 億美元,預測期內市場成長率為 22.3%。
根據 KBV Cardinal 矩陣中的分析,微軟公司是該市場的領導者。 Oracle公司、SAP SE 和 IBM 公司等公司是該市場的主要創新者。例如,2023 年 6 月,Salesforce, Inc. 與 Google 提供的雲端平台 Google Cloud 合作。兩家公司旨在透過將資料和人工智慧工具整合到 CRM 系統中,幫助企業增強 CRM 系統。
市場成長要素
各產業數位轉型帶來的需求不斷增加
作為數位轉型工作的一部分,公司收集並累積了無數資料。您需要先進的分析工具來獲得有意義的資訊並推動明智的決策。具有自動化和預測功能的分析工具可以幫助企業有效地利用這些資料。數位轉型通常著重於改善客戶體驗。透過分析客戶資料並了解偏好和行為,數位轉型可以在這方面發揮關鍵作用。這使組織能夠提供更個人化和量身定做的體驗,作為其數位轉型配合措施的核心部分。數位轉型通常包括採用雲端技術和擴展數位基礎設施。這將增加對強大資料安全性以及遵守 GDPR 和 HIPAA 等法律的需求。這些工具提供先進的安全功能來保護敏感資料並確保法規遵循。因此,這些因素可能會推動未來幾年對這些分析的需求。
增強分析解決方案的使用者友善性
這些工具的使用者友善性意味著它們可以被更廣泛的專業人士使用,而不僅僅是資料科學家和分析師。這擴大了增強分析的潛在用戶群,並提高了其在各個行業和部門的採用率。傳統的資料分析方法通常需要大量的培訓和專業知識,限制了能夠有效使用這些工具的人數。增強分析降低了技能障礙,使具有不同技術專長水平的專業人員可以進行資料分析。這意味著組織中更多的人無需進行大量培訓就可以主動進行資料分析,從而加快採用過程。資料分析的民主化促進了組織內資料驅動文化的發展。當不同層級的員工可以輕鬆存取和分析資料時,它就成為決策流程的重要組成部分。這些文化轉變培養了更具創新性和敏捷性的組織。因此,這些因素預計將有助於未來幾年的市場擴張。
市場抑制因素
人們對資料隱私和安全的擔憂日益加深
更嚴格的資料隱私法規,例如歐洲的 GDPR 和加州的 CCPA,要求公司遵守嚴格的資料保護措施。遵守這些法規通常需要龐大的成本,包括在資料加密、安全儲存和法律諮詢方面的投資。這增加了實施這些解決方案的總體成本,並可能阻止一些組織實施它們。資料隱私措施的增加可能會使增強分析工具難以存取和分析某些資訊,資料是當涉及個人或敏感資訊時。這種限制可能會妨礙全面的資料分析並減少產生的潛在見解。組織必須仔細管理資料存取、權限和加密以確保合規性。由於這種複雜性,實施和維護這些工具可能很困難。由於這些因素,未來幾年對增強分析市場的需求可能會下降。
公司類型展望
根據公司類型,市場分為大型企業和小型企業。 2022年,中小企業部門在市場中獲得了可觀的收益佔有率。這些解決方案變得越來越經濟實惠,可供中小型企業使用。許多供應商提供雲端基礎的訂閱模式,允許小型企業存取先進的分析工具,而無需在硬體或軟體上進行大量的前期投資。這種成本效益是中小型企業實施增強分析的強大動力。因此,該區隔市場將在未來幾年內快速成長。
最終用戶前景
依最終用戶分類,市場分為 BFSI、IT 和電信、政府、零售、醫療保健、製造、運輸和物流、能源和公用事業等。 BFSI 區隔市場在 2022 年創下了最大的收益佔有率。在競爭激烈且資料為中心的銀行和金融領域,資料主導的決策至關重要。 BFSI部門專注於風險評估和管理。增強分析有助於預測建模和識別潛在風險。這使得金融機構能夠創建更準確的風險狀況並快速回應市場波動。因此,該行業的需求可能會增加。
區域展望
從區域來看,市場分為北美、歐洲、亞太地區和拉丁美洲地區。 2022 年,北美市場的收益佔有率最高。該地區正在見證人工智慧 (AI)、機器學習和自然語言處理 (NLP) 等先進技術的開發和採用激增。該地區了解資料分析對於獲得競爭優勢和做出資訊決策的重要性。人工智慧非常適合這種環境,因為它提供了一種更容易存取和更有效的資料分析方法。由於這些方面,預計北美市場的需求將會增加。
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