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市場調査レポート
商品コード
1384627
拡張アナリティクスの世界市場規模、シェア、産業動向分析レポート:企業タイプ別、エンドユーザー別、地域別展望と予測、2023年~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 |
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拡張アナリティクスの世界市場規模、シェア、産業動向分析レポート:企業タイプ別、エンドユーザー別、地域別展望と予測、2023年~2030年 |
出版日: 2023年10月31日
発行: KBV Research
ページ情報: 英文 246 Pages
納期: 即納可能
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拡張アナリティクス市場規模は2030年までに702億米ドルに達すると予測され、予測期間中のCAGRは22.3%の市場成長率で上昇する見込みです。
KBV Cardinalのマトリックスに示された分析によると、Microsoft Corporationが同市場におけるトップランナーです。オラクル・コーポレーション、SAP SE、IBMコーポレーションなどの企業は、この市場における主要なイノベーターです。例えば、2023年6月、Salesforce, Inc.は、Googleが提供するクラウドプラットフォームであるGoogle Cloudと提携しました。両社は、データおよびAIツールをCRMシステムに組み込むことで、企業のCRMシステム強化を促進することを目的としています。
市場成長要因
業界全体のデジタルトランスフォーメーションによる需要の高まり
企業はデジタルトランスフォーメーション活動の一環として、数え切れないほどの量のデータを収集・蓄積しています。有意義な洞察を引き出し、十分な情報に基づいた意思決定を推進するためには、高度な分析ツールが必要です。自動化と予測機能を備えたアナリティクス・ツールは、企業がこうしたデータを効果的に活用するのに役立ちます。デジタルトランスフォーメーションは、顧客体験の向上に重点を置くことが多いです。顧客データを分析し、嗜好や行動を把握することで、デジタル・トランスフォーメーションはこの点で重要な役割を果たします。これにより、組織はデジタルトランスフォーメーションの中心的な取り組みとして、よりパーソナライズされたオーダーメイドのエクスペリエンスを提供できるようになります。デジタルトランスフォーメーションには、クラウド技術の採用やデジタルインフラの拡張が含まれることが多いです。このため、強固なデータ・セキュリティと、GDPRやHIPAAといった法律の遵守がより強く求められるようになります。これらのツールは、機密データを保護し、規制コンプライアンスを確保するための高度なセキュリティ機能を提供します。したがって、これらの要因は、今後数年間、これらのアナリティクスの需要を促進すると思われます。
拡張アナリティクス・ソリューションのユーザーフレンドリーな性質
これらのツールのユーザーフレンドリーな性質は、データサイエンティストやアナリストだけでなく、より幅広い専門家がこれらのツールを使用できることを意味します。これにより、拡張アナリティクスの潜在的なユーザー層が広がり、さまざまな業界や分野での採用が増加します。従来のデータ分析手法では、広範なトレーニングや専門知識が必要とされることが多く、これらのツールを効果的に使用できる人の数が限られていました。オーグメンテッド・アナリティクスはスキルの障壁を低くし、さまざまなレベルの技術的専門知識を持つ専門家がデータ分析にアクセスできるようにします。つまり、組織内のより多くの人々が、大規模なトレーニングを受けることなく、データ分析に積極的に取り組めるようになり、その結果、導入プロセスがスピードアップします。データ分析の民主化は、組織内のデータ駆動型文化の発展を促します。さまざまなレベルの従業員がデータに簡単にアクセスして分析できるようになれば、それは意思決定プロセスに不可欠な要素となります。このような文化の変化は、より革新的で俊敏な組織を育みます。その結果、こうした要因が今後数年間の市場拡大に寄与すると思われます。
市場抑制要因
データ・プライバシーとセキュリティに対する懸念の高まり
欧州のGDPRやカリフォルニア州のCCPAなど、より厳格なデータプライバシー規制により、企業は厳格なデータ保護対策を遵守することが求められています。これらの規制を遵守するには、データの暗号化、安全な保管、法律相談への投資など、多額のコストがかかることが多いです。このため、これらのソリューションを導入するための全体的なコストが増大し、一部の組織では導入が敬遠されることもあります。データプライバシー対策の強化により、特に個人情報や機密情報が含まれる場合、拡張アナリティクスツールが特定のデータにアクセスして分析することが難しくなる可能性があります。この制限により、包括的なデータ分析が妨げられ、生成される潜在的な洞察が減少する可能性があります。組織は、コンプライアンスを確保するために、データアクセス、アクセス許可、暗号化を慎重に管理する必要があります。このような複雑さのため、これらのツールの導入とメンテナンスは困難な場合があります。こうした要因から、拡張アナリティクス市場は今後数年間で需要が減少する可能性があります。
企業タイプの展望
企業タイプに基づき、市場は大企業と中小企業に区分されます。2022年には、中小企業セグメントが市場で大きな収益シェアを獲得しました。これらのソリューションは、中小企業にとってますます手頃な価格で利用できるようになってきています。多くのベンダーがクラウドベースのサブスクリプションモデルを提供しているため、中小企業はハードウェアやソフトウェアに多額の先行投資をすることなく、高度な分析ツールにアクセスできます。この費用対効果の高さは、中小企業が拡張アナリティクスを導入する大きな動機となります。そのため、このセグメントは今後数年で急成長します。
エンドユーザーの展望
エンドユーザー別に見ると、市場はBFSI、IT&テレコム、政府、小売、ヘルスケア、製造、輸送&物流、エネルギー&ユーティリティ、その他に分けられます。BFSIセグメントは、2022年の市場において最大の収益シェアを記録しました。競争が激しくデータ中心の銀行・金融の世界では、データ主導の意思決定が不可欠です。BFSI部門では、リスク評価と管理が重視されています。拡張アナリティクスは、予測モデリングと潜在的リスクの特定を支援します。これにより、金融機関はより正確なリスクプロファイルを作成し、市場の変動に迅速に対応できるようになります。その結果、この分野での需要は増加すると思われます。
地域別展望
地域別に見ると、市場は北米、欧州、アジア太平洋、LAMEAに区分されます。北米セグメントは2022年の市場で最も高い収益シェアを獲得しました。同地域では、人工知能(AI)、機械学習、自然言語処理(NLP)などの先進技術の開発と導入が急増しています。同地域では、競争優位性を獲得し、十分な情報に基づいた意思決定を行う上で、データ分析が重要であることを理解しています。データ分析によりアクセスしやすく効率的な方法を提供するAIは、このような環境に自然に適合しています。このような側面から、北米セグメントでの需要増加が見込まれています。
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