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市場調査レポート
商品コード
1154913
クラウド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:組織規模別、用途別、展開(パブリック、プライベート、ハイブリッド)別、コンポーネント別、業種別、地域別展望・予測、2022年~2028年Global Cloud Analytics Market Size, Share & Industry Trends Analysis Report By Organization Size, By Application, By Deployment (Public, Private and Hybrid), By Component, By Vertical, By Regional Outlook and Forecast, 2022 - 2028 |
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クラウド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:組織規模別、用途別、展開(パブリック、プライベート、ハイブリッド)別、コンポーネント別、業種別、地域別展望・予測、2022年~2028年 |
出版日: 2022年10月31日
発行: KBV Research
ページ情報: 英文 348 Pages
納期: 即納可能
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クラウドアナリティクスの世界市場規模は、2028年までに818億米ドルに達し、予測期間中にCAGR21.0%の市場成長率で上昇すると予測されています。
これにより、人的リソースを解放し、収益を最大化するための企業戦略の策定に集中できるようになります。クラウドベースのアナリティクスソリューションは、多くのデータソースに接続し、自動的に更新して最新の結果を提供するソリューションを企業に提供します。また、多様な処理アプリケーションを提供し、予期せぬ動向、洞察、新規アプリケーションを発掘することができます。
また、データの保存と交換を容易にすることで、チームの効率と生産性を向上させることができます。クラウドアナリティクスが企業に提供する上記のような利点から、クラウドアナリティクスサービスの利用は予測期間を通じて拡大すると予想されます。
COVID-19の影響度分析
COVID-19の拡大期において、企業はデータエンジニアがデータを通じて洞察を得るためにデータ駆動型の目標を強調できる分析ツールに対する需要を確認しています。ヘルスケアや調剤薬局では、収集したデータをもとに、経営分析などのソリューションを使って、医療機器の供給を改善しています。米国疾病管理予防センター(CDC)は、分析ダッシュボードを利用して、クラウドアナリティクスツールを取り入れ、リソース管理と医薬品流通を改善しました。今後数年間、クラウドアナリティクス市場は急速に拡大すると予想されます。
市場の成長要因
Biツールに対する需要の増加
近年、組織化されたデータと非構造化データが増加するにつれ、ビジネス・インテリジェンスが人気を博しています。あらゆるレベルの企業が、競争力を高めるために、ビジネス・インテリジェンス・ツールを自社のビジネス・プラットフォームに統合することに、より重点を置くようになっています。現代において、膨大な量のデータを特定し、収集し、保存し、送信することは、大多数の企業で利用されている合理化されたプロセスです。このインテリジェンスのために、BIツールが活用され、ビジネス上の意思決定が迅速かつ容易に行えるようになりました。
企業におけるクラウド・アナリティクス・サービスの需要の高まり
デジタル化の進展、膨大なデータの利用可能性、そして競争力により、企業はアナリティクス・ソリューションに注目し、戦術的な意思決定プロセスを実施するようになりました。企業は、複数のプラットフォームに流れる膨大な量の非構造化データを分析することによって、ビジネス戦略を強化するためにデジタル化を取り入れています。今後数年間で、データの大半は非構造化データになると予測されています。
市場の抑制要因
従来のデータウェアハウスへの高い依存性
オンプレミス型の従来型データウェアハウスの大半は、リレーショナルデータベースやカラムナーデータベース、SQLを利用してデータにアクセスします。クラウドベースのビジネスインテリジェンスにおける最も大きな問題は、データウェアハウスが基本的にクラウドでの運用を前提に設計されていないことです。また、共有、インデックス作成、圧縮など、これらのデータストアで達成された最適化は、横方向に伸縮するスケールアウトインフラであり、垂直統合システムではないクラウドにうまく移行しません。
コンポーネントの展望
クラウドアナリティクス市場は、コンポーネントベースでソリューションとサービスに二分されます。2021年のクラウドアナリティクス市場では、サービス分野が大きな収益シェアを獲得しました。クラウドアナリティクスサービスを提供する企業は、マネージドサービスとプロフェッショナルサービスの両方を提供しています。サービスプロバイダーは、顧客のビジネス上の意思決定を支援するデータ分析、管理、整理サービスを提供します。
デプロイメントの展望
クラウドアナリティクス市場は、展開に基づき、パブリック、プライベート、ハイブリッドに分類されます。ハイブリッドセグメントは、2021年のクラウドアナリティクス市場でかなりの収益シェアを記録しました。ハイブリッドクラウドアナリティクスは、プライベートクラウドとパブリッククラウドの展開を統合することでサービスを提供します。ハイブリッドアナリティクスクラウドサービスは、プロセスコンピューティングニーズの変化に応じて、オンプレミスシステムを保有するプライベートインフラからパブリッククラウドへシームレスに資産を移行することが可能です。
アプリケーションの展望
クラウドアナリティクス市場は、用途別に、営業・マーケティング、研究開発、カスタマーサービス、会計・財務、人事、その他に区分されます。2021年のクラウドアナリティクス市場では、ヒューマンリソースと会計・財務のセグメントが大きな収益シェアを示しました。HRアナリティクスソフトウェアは、人事の専門家によるデータ収集、分析、適切な人材指標の特定を支援します。
組織規模の展望
組織規模に基づき、クラウドアナリティクス市場は中小企業と大企業に細分化されます。大企業セグメントは、2021年のクラウドアナリティクス市場で最も高い収益シェアを示しています。企業は、クラウドアナリティクスを活用して収益を上げ、将来の事業戦略策定に向け、業績不振分野と業績過剰分野を発見しています。データはパスワードで保護され、複数の場所にあるシステムでバックアップされるため、セキュリティが強化されます。
業界別の展望
クラウドアナリティクス市場は、業界別でBFSI、IT・通信、小売・EC、製造、ヘルスケア・ライフサイエンス、政府、エネルギー・公益事業、その他に分類されます。2021年のクラウドアナリティクス市場では、BFSI分野が最大の収益シェアを獲得しています。BFSI業界における競争の激化により、企業はユーザーエクスペリエンスを向上させるためにクラウドアナリティクスを活用するようになりました。クラウドアナリティクスを利用することで、企業は消費者との対話、顧客ターゲティング、顧客獲得を強化しています。
地域別の展望
地域別に見ると、クラウドアナリティクス市場は北米、欧州、アジア太平洋、LAMEAで分析されています。2021年のクラウドアナリティクス市場では、北米地域が最大の収益シェアを記録しました。この拡大は、最先端の郵便技術の採用が進んでいることと、同地域に重要な企業が存在することに起因しています。また、人件費の高騰や労働力不足が、企業に自動化の導入を促し、市場拡大をもたらしています。
市場参入企業がとっている主な戦略は、パートナーシップです。カーディナルマトリックスで提示された分析に基づき、Google LLCとMicrosoft Corporationがクラウドアナリティクス市場の先駆者となっています。Amazon Web Services, Inc.、IBM Corporation、Oracle Corporationなどの企業は、クラウドアナリティクス市場における主要な革新者の一部です。
List of Figures
The Global Cloud Analytics Market size is expected to reach $81.8 billion by 2028, rising at a market growth of 21.0% CAGR during the forecast period.
Cloud analytics is defined as the method of storing and analyzing data on the cloud and extracting meaningful business insights from that data. Cloud analytics tools are applied to big data collections for finding patterns, forecast future outcomes, and generate other relevant information for business decision-makers, similar to on-premises data analytics.
With the assistance of cloud analytics, organizations are able to cut operational expenses by avoiding the maintenance and storage costs of on-premises systems, hence reducing IT manpower. In addition, it improves scalability and expansion because it delivers robust capabilities without the necessity to set up or manage servers.
This would lead in freeing up human resources to concentrate on developing company strategies to maximize revenue. Cloud-based analytics solutions provide firms with a solution that connects to many sources of data and automatically updates to provide the most recent results. It provides diverse processing applications to unearth unexpected trends, insights, and novel applications.
In addition, it allows users to effortlessly store and exchange data in order to increase team efficiency and production. The use of cloud analytics services is anticipated to expand throughout the forecast period as a result of the aforementioned advantages offered by cloud analytics to businesses.
COVID-19 Impact Analysis
During the expansion of COVID-19, businesses have identified the demand for analytical tools that enable data engineers to emphasize data-driven objectives in order to gain insights through the data. On the basis of gathered data, healthcare and pharmacy enterprises use business analysis and other solutions to improve the supply of healthcare aids. Using analytical dashboards, the Center for Disease Control and Prevention (CDC) incorporated cloud analytics tools to improve resource management and drug distribution. In the coming years, it is expected that the cloud analytics market will expand rapidly.
Market Growth Factors
Increasing Demand For Bi Tools
As organized and unstructured data have increased in recent times, business intelligence has witnessed popularity. Businesses of all levels are focusing more on integrating business intelligence tools into their business platforms to achieve a competitive edge. Identifying, collecting, storing, and transmitting a vast amount of data in today's time is a streamlined process utilized by the majority of enterprises. For this intelligence, BI tools are leveraged so that business decisions may be made quickly and easily.
Rising Demand For Cloud Analytics Services Across Businesses
Increasing digitization, the availability of a vast array of data, and competitiveness has driven enterprises to implement the tactical decision-making process by focusing on analytics solutions. Businesses are embracing digitization to enhance their business strategies by analyzing vast amounts of unstructured data flowing across several platforms. Estimates suggest that in the coming years the majority of data would be unstructured.
Market Restraining Factors
High Dependability On Traditional Data Warehouses
The majority of on-premises and conventional data warehouses utilize a relational or columnar database and SQL to access data. The most significant problem with cloud-based business intelligence is that data warehouses are not fundamentally designed to operate in the cloud. In addition, the optimizations achieved on these data stores, such as sharing, indexing, and compression, do not transition well to the cloud, which is a laterally elastic scale-out infrastructure and not a vertical integration system.
Component Outlook
On the basis of component, the cloud analytics market is bifurcated into Solutions and Services. The service segment procured a significant revenue share in the cloud analytics market in 2021. Companies that provide cloud analytics services provide both managed and professional services. The service providers offer data analysis, management, and organization services that help clients make business decisions.
Deployment Outlook
Based on deployment, the cloud analytics market is classified into Public, Private and Hybrid. The hybrid segment recorded a substantial revenue share in the cloud analytics market in 2021. Hybrid cloud analytics provides services by integrating the deployment of private and public clouds. A hybrid analytics cloud service enables users to seamlessly migrate assets from private infrastructure possessing on-premise systems to the public cloud in response to variations in process computing needs.
Application Outlook
By application, the cloud analytics market is segmented into Sales and Marketing, Research & Development, Customer Service, Accounting & Finance, Human Resource and Others. The human resource and accounting & finance segment witnessed a significant revenue share in the cloud analytics market in 2021. HR analytics software assists human resource professionals in data collection, analysis, and identification of pertinent people metrics.
Organization Size Outlook
On the basis of organization size, the cloud analytics market is fragmented into SME and large enterprises. The large enterprise segment witnessed the highest revenue share in the cloud analytics market in 2021. Enterprises are utilizing cloud analytics to boost revenue and discover underperforming and overperforming areas for future business strategy formulation. The data is protected by a password and backed up on systems in multiple locations, resulting in increased security.
Industry Vertical Outlook
Based on industry vertical, the cloud analytics market is divided into BFSI, IT & Telecommunication, Retail & Ecommerce, Manufacturing, Healthcare & life sciences, Government, Energy & Utilities and Others. The BFSI segment garnered the largest revenue share in the cloud analytics market in 2021. Growing competition in the BFSI industry has prompted businesses to utilize cloud analytics to enhance the user experience. Using cloud analytics, businesses are enhancing consumer interaction, customer targeting, and customer acquisition.
Regional Outlook
Region-wise, the cloud analytics market is analyzed across North America, Europe, Asia Pacific and LAMEA. The North America region recorded the maximum revenue share in the cloud analytics market in 2021. The expansion is attributable to the rising adoption of cutting-edge postal technologies and the existence of significant businesses in the region. In addition, rising labor prices and labor shortages are prompting businesses to implement automation, resulting in market expansion.
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Google LLC and Microsoft Corporation are the forerunners in the Cloud Analytics Market. Companies such as Amazon Web Services, Inc., IBM Corporation, Oracle Corporation are some of the key innovators in Cloud Analytics Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon Web Services, Inc., Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAS Institute Inc., Sisense, Inc., Salesforce.com, Inc. (Tableau Software, Inc.), GoodData Corporation, and Databricks, Inc.
Recent Strategies Deployed in Cloud Analytics Market
Partnership, Collaboration and Agreement:
Aug-2022: Oracle collaborated with Anaconda, a provider of the world's most popular data science platform. With this collaboration, Oracle focused on enabling and embedding Anaconda's repository into Oracle Cloud Infrastructure to provide protected open-source Python and R packages and tools. The collaboration provided data scientists with streamlined access to Anaconda, delivering high-performance machine learning and assisting them to ensure strong enterprise security and governance.
Aug-2022: Google extended its collaboration with CoreLogic, a leading global property data and analytics-driven solutions provider. Through this collaboration, Google focused on supporting the launch of the CoreLogic Discovery Platform. The platform was built on Google Cloud's sustainable and secure infrastructure. The collaboration aims to fulfill CoreLogic's clients' demands and allows the provision of efficient and comprehensive solutions for enterprises in the real estate finance market.
Jun-2022: GoodData partnered with Snowflake, a Data Cloud company. With this partnership, GoodData focused on helping customers in unlocking more insights from their data by combining GoodData's direct-query-only, unique, integration with the Snowflake platform. The partnership of GoodData and Snowflake turned knowledge workers across the enterprise into data citizens and aided to generate data-based revenue streams to propel businesses' growth.
May-2022: Amazon Web Services collaborated with IBM, an American multinational technology corporation. Through this collaboration, AWS aimed to enable IBM to provide a wide range of its software catalog as Software-as-a-Service (SaaS) on AWS. Moreover, the collaboration helped the customers of both companies in enhancing their modernization to the cloud and consuming IBM Services in a cloud-native manner on AWS.
Feb-2022: Microsoft partnered with Teradata, an intelligent multi-cloud data platform. Following this partnership, the companies combined Microsoft Azure with the Teradata Vantage data platform thus incorporating their cloud and AI capabilities. The partnership helped the companies in serving growing market needs with sustainability, resilience, and efficiency and helped groups across professions and industries to take rapid data-driven decisions.
Dec-2021: Google Cloud partnered with Kyndryl, an American multinational information technology infrastructure services provider. Following this partnership, the latter company focused on expediting the digital transformation of customers and assisting them in becoming more data-driven, advanced, and sustainable businesses. In this collaboration, Google and Kyndryl applied their expertise in applied AI, analytics, and data, thereby assisting customers in attaining new knowledge and driving business results.
Nov-2021: AWS collaborated with Goldman Sachs, a multinational investment bank and financial services company. Following this collaboration, the companies focused on creating analytics solutions and new data management for financial services organizations. This collaboration redefines the way clients discover, manage, and analyze data in the cloud, hence enabling them in obtaining rapid insights and draw informed investment decisions.
Nov-2021: Amazon Web Services partnered with Nasdaq, an American stock exchange based in New York City. Under this partnership, AWS focused on providing the next generation of cloud-enabled infrastructure for the capital markets of the world. Additionally, the partnership provided Nasdaq a way to move its main infrastructure to the cloud and create new services as they advance its second decade of cloud adoption.
Nov-2021: Amazon Web Services collaborated with Teradata, a connected multi-cloud data platform for business analytics. With this collaboration, AWS aimed at expediting Teradata's capabilities to fulfill the demands of the voluminous data workloads and subsequently help customers in utilizing data to modernize and innovate rapidly in the cloud. The collaboration accelerated the benefits and value that Teradata can provide to its customers.
Oct-2021: SAS collaborated with Red Hat, an American software company. Following this collaboration, Red Hat and SAS enable organizations to utilize analytical capabilities and open hybrid cloud technologies thereby driving business-level intelligence. The collaboration allowed model developers to deploy and build models with consistency and portability across their chosen environments with the help of SAS Viya on Red Hat OpenShift. This assisted in expediting the implementation of analytics across the hybrid cloud.
Mar-2021: Google Cloud collaborated with Deloitte, an international professional services network. Following this collaboration, the companies launched a platform for enterprises to assist them in handling cyber threats. This cloud-native platform is called PACE or Predictive Analytics for Cyber in Enterprises tool. The platform utilizes Deloitte's cyber risk quantification and risk management frameworks along with Google Products namely Loker, Chronicle, and BigQuery. PACE enables companies to identify and mitigate cyber threats.
Feb-2021: Databricks partnered with Google Cloud, a suite of cloud computing services offered by Google. Following this partnership, the companies focus on allowing enterprises to use Databricks for creating a lakehouse capable of data science, data engineering, analytics, and machine learning on Google Cloud's global, elastic, and scalable network. This partnership helped the companies in delivering an open, simplified, unified data platform, supporting all AI use-cases and analytics which empowered the customers to innovate more quickly.
Jun-2020: Microsoft came into partnership with SAS, a leader in analytics. Through this partnership, the companies focused on moving SAS'industry solutions and analytical products onto the Microsoft Azure platform as the chosen cloud provider for the SAS Cloud. Together the companies help customers across many industries and horizontals to address their most complex and important analytical challenges.
Product Launch and Product Expansion:
Mar-2022: Microsoft unveiled Azure Health Data Services, a platform for analyzing and managing different kinds of patient data. The launched platform-as-a-service (PaaS) assists enterprises in managing disparate kinds of protected health information (PHI) spanning over multiple data stores and allowing them to work with -- and gather insights from -- patient data utilizing fewer resources and time.
Nov-2021: Oracle introduced Oracle Cloud Infrastructure (OCI) AI services. OCI is a collection of services that make it simpler for developers to implement AI services in their applications without the need for data science expertise. The OCI AI services provide developers the option of leveraging out-of-the-box models, pretrained on business-oriented data, or customized training of services based on the organization's data.
Apr-2021: IBM launched new capabilities for IBM Watson for assisting businesses in building trustworthy AI. The capabilities increased Watson tools developed to aid businesses to explain and govern AI-led decisions, rise insight accuracy, remediate risks, and cater to their compliance and privacy demands.
Apr-2021: GoodData introduced GoodData Cloud Native, a cloud-native analytics platform. This is the first step for the company in the DaaS category introduction. The platform offers certain benefits including a developer-friendly framework, deployment flexibility, and compliance and security. The company released the Community Edition which offers all developers the possibility to evaluate, deploy, and test the GoodData platform free of cost.
Mar-2021: GoodData launched GoodData insurance solutions on the company's industry-leading cloud analytics platform. Insurance solutions have been developed for improving insurance processes like claims management, underwriting, and customer acquisition. With the insurance solutions of GoodData, insurers could dramatically enhance operational efficiency while obtaining quicker delivery of insights for the users of business.
Feb-2021: Sisense unveiled Sisense Fusion which aids organizations in infusing analytics everywhere, whether to offer more importance to their customers and reorganize their business or develop innovations and products. Sisense Fusion helps in enhancing every decision and strengthens both employees and customers by offering actionable intelligence.
Acquisition and Mergers:
Jul-2022: IBM acquired Databand, an Israel-based data observability software provider. Through this acquisition, IBM provides a wide range of observability abilities for IT across data, applications, and machine learning.
Jun-2022: Oracle Corporation acquired Cerner Corporation, an American supplier of health information technology services, devices, and hardware. Through this acquisition, Oracle focused on expanding its corporate mission to take over the responsibility of overworked medical practitioners and professionals with the new version of easier-to-use digital tools that allow access to information and insights through a hands-free voice interface to protected cloud applications. The newer medical information systems aim to minimize the administrative workload of medical professionals, improve patient outcomes and privacy, and reduce overall costs of healthcare.
Jun-2022: SAS took over Kamakura Corporation, a provider of specialized data, software, and consulting services to evaluate financial risks. With this acquisition, SAS focused on advancing risk solutions capable of changing the market to solve the most important challenges faced by the financial service customers of the company.
Mar-2022: Microsoft took over Nuance Communications, a leader in ambient intelligence and conversational AI across sectors. Under this acquisition, Microsoft aimed to bring together the company's secure and reliable industry cloud offerings with Nuance's best-in-class ambient intelligence and conversational AI. The combination achieved through the acquisition helped providers to offer more effective, affordable, and accessible healthcare. It also assisted organizations in every industry to create more meaningful and personalized customer experiences.
Jan-2022: Oracle took over Federos, a leading provider of cloud-enabled, AI-optimized network assurance, analytics, and automation software. With this acquisition, Oracle focused on empowering service providers with AI-optimized service and network analytics, assurance, and automated orchestration.
Oct-2021: Databricks took over 8080 Labs, a cutting-edge German startup. Through this acquisition, Databricks aimed to expedite the accessibility and adoption of lakehouse as the data architecture in the coming future. This acquisition increased the range of the company's user base to a broader audience that opts for low-code/no-code solutions.
Jul-2021: IBM took over Bluetab Solutions Group, an IT consulting and services firm. With this acquisition, IBM focused on widening its portfolio of data and hybrid cloud consulting services. The acquisition propelled customers' cloud migration and aided them in realizing the importance of the cloud through their mission-critical data.
Jun-2021: IBM took over Turbonomic, an Application Resource Management (ARM) and Network Performance Management (NPM) software provider. The acquisition made IBM a one-stop vendor of AI-powered automation abilities.
Jun-2021: AWS acquired Wickr, an encrypted messaging platform used by enterprises and government agencies. Through this acquisition, AWS provided its partners and customers with secure communications solutions thereby assisting government organizations and enterprises to adapt to this transformation in their workforces.
Mar-2021: AWS took over Perpule, a retail tech startup. With this acquisition, AWS focused on offering opportunities to businesses of all sizes in India by offering Perpule's innovative cloud-based POS services that allow Indian offline stores to efficiently manage their checkout processes, inventory, and overall customer experience. This simultaneously raised the standard of shopping experience for customers of the region.
Jan-2021: SAS acquired Boemska, a technology company specializing in low-code/no-code application deployment and management of analytic workload. Through this acquisition, SAS aimed to enhance the SAS Viya, advanced analytics, a cloud-native platform with a lucrative set of abilities that propel SAS' goal of augmenting the life cycle of entire analytics thereby facilitating the migration of customers to the cloud.
Dec-2020: IBM acquired Instana, leading enterprise observability and application performance monitoring platform. Through this acquisition, IBM focused on offering industry-leading, AI-powered automation abilities to mitigate the complexities of modern applications spanning over hybrid cloud landscapes. The acquisition provided clients with a leading enterprise observability platform to guide automated remediation strengthened by contextualized data with profiles, traces, metrics, and dependency mapping from Instana.
Feb-2020: Google Cloud acquired Looker, a data analytics company. With this acquisition, the company aimed to address the business intelligence and data analytics demands globally across various industries. The acquisition of Looker fortified Google Cloud's data warehouse and analytics abilities, including BigQuery thereby allowing customers to mitigate their hardest business challenges rapidly while retaining full control of data.
Market Segments covered in the Report:
By Organization Size
By Application
By Deployment
By Component
By Vertical
By Geography
Companies Profiled
Unique Offerings from KBV Research