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市場調査レポート
商品コード
1219703
AI搭載ストレージの世界市場規模、シェア、産業動向分析レポート:コンポーネント別、ストレージアーキテクチャ別、ストレージシステム別、ストレージ媒体別、エンドユーザー別、地域別展望・予測、2022年~2028年Global AI Powered Storage Market Size, Share & Industry Trends Analysis Report By Component, By Storage Architecture, By Storage System, By Storage Medium, By End User, By Regional Outlook and Forecast, 2022 - 2028 |
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AI搭載ストレージの世界市場規模、シェア、産業動向分析レポート:コンポーネント別、ストレージアーキテクチャ別、ストレージシステム別、ストレージ媒体別、エンドユーザー別、地域別展望・予測、2022年~2028年 |
出版日: 2023年01月31日
発行: KBV Research
ページ情報: 英文 386 Pages
納期: 即納可能
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AI搭載ストレージの世界市場規模は、2028年までに665億米ドルに達し、予測期間中にCAGR24.5%の市場成長率で上昇すると予測されています。
組織は、効果的に分類し最適化する必要がある膨大な量のデータを生成しています。このニーズが、主にAI搭載ストレージの需要を世界的に押し上げています。これに加えて、世界中のさまざまなビジネス分野で人工知能の利用が拡大していることや、クラウドベースのサービスの採用が増加していることも、今後数年間、AI搭載ストレージの世界市場の拡大にプラスに働くと思われる追加要因として作用しています。
AIは、プロセスの最適化や自動化、データ管理、システムの効率化などに頻繁に利用されるため、情報技術(IT)、ソフトウェア、医療科学、旅行、病院、小売などの分野で大きな期待が寄せられています。さらに、BFSI、通信、エンターテインメント、政府、クラウドサービスプロバイダーなどの分野でも、暗号化および潜在的なセキュリティリスクからのデータ保護を提供するため、広く利用されています。さらに、潜在的なセキュリティ脅威からも保護されます。
COVID-19インパクト分析
COVID-19の発生により、AI搭載ストレージ市場に大きなインパクトがもたらされました。COVID-19が発生してから、COVIDに最も関連するAI主導の企業や組織への投資は、非常に健全なレベルで継続されています。COVID-19の公開後、産業分野、法人企業、政府機関の技術的成長が大きく加速することが予想されました。複数の企業が、ビジネスモデルの強化やターンアラウンド率の向上を目的に、AIを搭載したストレージシステムのリアルタイムデータ保存への活用を開始しました。また、このような拡大により、AI搭載ストレージ市場には、世界中で大規模な新規投資が行われています。
市場の成長要因
クラウド上でホストされるアプリケーションやサービスの利用が増加
クラウドベースのアプリケーションやサービスの利用が増加していることは、AI搭載ストレージソリューションの市場を牽引する主要な要因の1つです。クラウド上で動作するアプリケーションは、特にCOVID-19のパンデミックの中で、商業界に大きな変化をもたらしています。AI搭載ストレージシステムを高性能コンピューティングに使用することで、企業がデータを統合し、大量の非構造化データに対処することを支援します。AI搭載ストレージの市場は、予測期間を通じて大きな成長を遂げると予想されます。
BFSI企業による人工知能と機械学習への投資の増加
BFSI企業は、顧客により良いサービスを提供し、フィンテックの管理を効率化するために、人工知能や機械学習ソフトウェアへの支出額を増やしています。さらに、BFSI業界は複雑化し競争が激しくなっているため、業界の要件に特化してカスタマイズされたソリューションのニーズが高まっています。この結果、多くの金融機関やフィンテック事業者が、顧客のニーズを満たすために人工知能ソリューションへの投資を行っています。
市場の抑制要因
パブリッククラウドにおけるネットワーク利用率やレイテンシーの問題
パブリッククラウドでは、データの保存や取り出しの際にレイテンシーが問題となる場合があります。パブリッククラウドにデータを集めると、最初から最後までネットワークを制御することができなくなり、さらに遅延も大きくなるため、アプリケーションの動作に支障をきたす可能性があります。さらに、クラウドベースのストレージのサプライヤーが同様のネットワーク問題を起こした場合、ストレージソリューションが中断される可能性があり、最終的には活動が停止して、組織に大きな財務的損失をもたらすことになります。インターネット帯域の不足、データセンターの遠距離、ネットワークトラフィックの多さも、遅延の懸念につながる3つの要因のひとつです。
コンポーネントの展望
AI搭載ストレージ市場は、コンポーネントに基づいて、ハードウェアとソフトウェアに分類されます。2021年、ソフトウェア部門はAI搭載ストレージ市場で大きな収益シェアを獲得しました。これは、コストと時間を節約しながら、リスクも低減できるためで、いずれも今後数年間、業界に有利な成長と展望をもたらすと予測されます。
ストレージアーキテクチャの展望
ストレージアーキテクチャに基づき、AI搭載ストレージ市場は、ファイル&オブジェクトベースストレージおよびオブジェクトストレージに分類されます。2021年、オブジェクトストレージのセグメントは、AI搭載ストレージの市場で発生した総収入のうち、かなりの部分を占めています。オブジェクトストレージは、最も拡張性の高いストレージアーキテクチャを提供し、人工知能や機械学習に必要な膨大な量のデータを収容するのに適しています。
ストレージシステムの展望
AI搭載ストレージ市場は、ストレージシステムに基づき、直接接続型ストレージ、ネットワーク接続型ストレージ、ストレージエリアネットワークに分類されます。AI搭載ストレージ市場のストレージエリアセグメントは、2021年に実質的な収益シェアを獲得し、世界的に優位に立つに至っています。中小企業におけるストレージエリアネットワークの普及が、市場の拡大を後押ししています。これは、データストレージ機器のネットワークで、データセンターがストレージに関する共同作業をより簡単に行えるようにするものです。
ストレージ媒体の展望
ストレージ媒体に基づき、AI搭載ストレージ市場はハードディスクドライブとソリッドステートドライブに分類されます。2021年のAI搭載ストレージ市場の中で、ソリッドステートドライブセグメントはかなりの収益シェアを獲得しています。ソリッドステートフラッシュメモリに永久データを保存する不揮発性記憶媒体は、ソリッドステートドライブ(SSD)として知られています。従来のハードディスクドライブと比較して、ソリッドステートドライブ(SSD)は、より速い読み取り/書き込み速度、低い動作音レベル、および全体的に優れた性能(HDD)により、顕著な優位性を持っています。
エンドユーザーの展望
AI搭載ストレージ市場は、エンドユーザーに基づき、エンタープライズ、政府機関、クラウドサービスプロバイダー、通信事業者に分類されます。2021年のAI搭載ストレージ市場では、企業向けが最大の収益シェアを占めています。企業は、自社が生成するデータ、その価値、不要なデータの処分方法、そのデータにアクセスできる期間などを総合的に理解する必要があります。AI搭載ストレージは、さまざまなビジネスデータソースから継続的なリアルタイム更新を行い、データを最適化し、人間の入力を必要とせずにそのデータに対して他のインテリジェントな自動操作を行うことができます。
地域別の展望
地域別に、AI搭載ストレージ市場は、北米、欧州、アジア太平洋、LAMEAに分類されます。2021年、北米地域は最高の収益シェアを生み出し、AI搭載ストレージ市場を独占しました。これにより、同地域はリーダーという立場になっています。これは、この地域における技術進歩の割合の増加と市場のデジタル化により、企業が重要なデータを保存するためにAI搭載ストレージを使用するようになったことに起因すると考えられます。さらに、データストレージ市場におけるプレイヤーの実質的な存在感、認知度の向上、訓練を受けた人材の確保に加え、この地域の拡大する金融セクターでAIストレージの利用が拡大していることも拡大の要因であると思われます。
市場参入企業がとる主な戦略は、買収です。カーディナルマトリックスで提示された分析に基づき、アルファベット(Google LLC)とマイクロソフト株式会社は、AI搭載ストレージ市場の先駆者です。Amazon Web Services, Inc.(Amazon.com, Inc.), Intel Corporation, Hewlett-Packard Enterprise Companyなどの企業は、AI Powered Storage Marketの主要な革新者の一部です。
List of Figures
The Global AI Powered Storage Market size is expected to reach $66.5 billion by 2028, rising at a market growth of 24.5% CAGR during the forecast period.
AI-enabled or AI-powered storage uses AI workloads and contemporary analytics to provide scale-out storage systems for data-driven organizations. Most companies in the modern world depend on data; nevertheless, businesses are well aware of the amount of data they create, the value of the data, the elimination of undesired data, and the lifetime of that data. As a result, companies are always looking for new ways to manage their data, including checkpoints for compliance, optimizing their data, registering their data, and conditioning them. AI-powered storage enters the scene at this juncture since it helps businesses to analyze data sensibly and speedily by delivering immediate insights.
The AI-powered storage process can be broken down into three distinct phases: the first is data intake, followed by training using machine learning, and finally, inference, which is the phase of providing insights.
Organizations produce enormous amounts of data that must be categorized and optimized effectively. This need is primarily driving the demand for AI-powered storage worldwide. In addition to this, the expanding use of artificial intelligence across a wide variety of business sectors all over the world, as well as the rising adoption of cloud-based services, are both acting as additional factors that are likely to contribute positively to the expansion of the global market for AI-powered storage in the years to come.
It is frequently utilized for process optimization and automation, data management, and boosting the system's efficiency; as a result, it is greatly desired in the information technology (IT), software, medical sciences, travel, hospitality, and retail sectors. Furthermore, it is widely desired in sectors like BFSI, telecom, entertainment, government, and cloud service providers because it provides encryption and data protection against possible security risks. In addition, it protects against potential security threats.
COVID-19 Impact Analysis
A significant impact was made on the AI Powered Storage Market as a result of the COVID-19 outbreak. Since COVID-19 took place, investment in AI-led enterprises and organizations, most affiliated with COVID, has continued at a very healthy level. Following the release of COVID-19, it was anticipated that there would be a significant acceleration in the technical growth of the industrial sector, corporate enterprises, and government agencies. Several companies have begun using AI-powered storage systems for their real-time data storage to enhance their business models and increase their turnaround rate. In addition, this expansion has resulted in significant new investments being made in the AI-Powered Storage Market worldwide.
Market Growth Factors
An increase in the use of applications and services hosted on the cloud
The increasing use of cloud-based apps and services is one of the primary factors driving the market for AI-powered storage solutions. Applications that run on the cloud have brought about a significant shift in the commercial world, particularly amid the COVID-19 pandemic. Using AI-powered storage systems for high-performance computing assists businesses in integrating their data and dealing with large amounts of unstructured data. It is anticipated that the market for AI-powered storage would see significant growth throughout the forecast duration.
An increase in investments in artificial intelligence and machine learning by BFSI companies
BFSI companies are increasing the amount of money they spend in artificial intelligence and machine learning software to provide better service to their customers and streamline the administration of fintech. Furthermore, because the BFSI industry is becoming more complex and competitive, there is a growing need for solutions specifically customized to the industry's requirements. As a consequence of this, a large number of financial institutions and fintech businesses are making investments in artificial intelligence solutions to fulfill the needs of their customers.
Market Restraining Factors
Issues with network utilization and latency in the public cloud
The public cloud might be problematic in terms of latency when it comes to storing and retrieving data. Loss of control over the network from beginning to end, which may occur when data is gathered in the public cloud, in conjunction with significant latency, can disorient how applications function. In addition, storage solutions might be disrupted if the supplier of cloud-based storage has similar network issues, which would ultimately halt activity and cause significant financial losses for organizations. Inadequate Internet bandwidth, distant data center locations, and heavy network traffic are three more factors that might contribute to concerns with latency.
Component Outlook
Based on the component, the AI-powered Storage Market is classified into hardware and software. In 2021, the software segment obtained a significant revenue share of the AI-powered storage market. This is because it saves money and time while also reducing risk, all of which are projected to provide lucrative growth and prospects for the industry in the coming years.
Storage Architecture Outlook
Based on storage architecture, the AI-powered storage market is classified into file & object-based storage and object storage. In 2021, the object storage segment contributed a sizeable portion of the total revenue generated in the market for AI-powered storage. Object storage provides the most scalable storage architecture, making it well-suited to accommodate the enormous amounts of data required for artificial intelligence and machine learning.
Storage System Outlook
Based on the storage system, the AI-powered storage market is divided into direct attached storage, network attached storage, and storage area network. The storage area segment of the AI-powered storage market had the substantial revenue share in 2021, leading to its dominance globally. The widespread usage of storage area networks in small and medium-sized organizations is driving the expansion of the market. It is a network of data storage devices that makes it simpler for data centers to collaborate on storage matters.
Storage Medium Outlook
Based on the storage medium, the AI-powered storage market is categorized into hard disk drive and solid-state drive. Within the AI-powered storage market in 2021, the solid-state drive segment obtained the considerable revenue share. A nonvolatile storage medium that saves permanent data on solid-state flash memory is known as a solid-state drive (SSD). Compared to conventional hard disc drives, solid-state drives (SSD) are noticeably more advantageous due to their quicker read/write speeds, lower operating noise levels, and overall superior performance (HDD).
End User Outlook
Based on end user, the AI-powered storage market is classified into enterprise, government bodies, cloud service providers, and telecom companies. The enterprise segment accounted for the largest revenue share in the AI-powered storage market in 2021. Companies must comprehensively understand the data they generate, its worth, how to get rid of data that is not wanted, and how long that data will be accessible. AI-enabled storage offers continuous real-time updates from a range of business data sources, optimizes the data, and conducts other intelligent automated operations on it without the need for human input.
Regional Outlook
Based on region, the AI-powered storage market is classified into North America, Europe, Asia Pacific, and LAMEA. In 2021, the North America region dominated the AI-powered storage market by producing the highest revenue share. This put the region in the position of being the leader. This may be ascribed to the increasing rate of technological advancement and the digitization of the market in this area, which has led to the use of AI-powered storage by enterprises to preserve their vital data. Additionally, the expansion may be attributed to the substantial presence of players in the data storage market, increased awareness, and the availability of trained talents, as well as the growing use of AI storage in the region's expanding financial sector.
The major strategies followed by the market participants are Acquisitions. Based on the Analysis presented in the Cardinal matrix; Alphabet (Google LLC) and Microsoft Corporation are the forerunners in the AI Powered Storage Market. Companies such as Amazon Web Services, Inc. (Amazon.com, Inc.), Intel Corporation, Hewlett-Packard Enterprise Company are some of the key innovators in AI Powered Storage Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC (Alphabet Inc.), Cisco Systems, Inc., Hewlett-Packard Enterprise Company, Intel Corporation, Dell Technologies, Inc., Lenovo Group Limited, NetApp, Inc.
Recent Strategies Deployed in AI Powered Storage Market
Partnership, Collaboration and Agreements:
Oct-2022: Google Cloud expanded its partnership with Accenture, specializing in information technology (IT) services and consulting. Through this partnership, both companies aimed at jointly develop new solutions using data and AI. Furthermore, it would enable the clients to build a strong core and reinvent their enterprises on the cloud.
Oct-2022: Lenovo signed an agreement with VMware, a cloud computing and virtualization technology company, to accelerate the transformation of businesses from edge to the cloud. Both companies would develop plans to deliver AI and multi-cloud solutions to enable seamless management across today's changing IT landscape and help customers leverage data intelligence across a wide range of industry-specific applications.
May-2022: IBM Corporation signed an agreement with Amazon Web Services (AWS), a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments. This agreement would deliver IBM's clients easy and rapid access to IBM Software that covers Data and AI, Security, Sustainability, and Automation abilities.
Product Launch and Product Expansions:
Jul-2022: Dell Technologies unveiled Dell PowerFlex, a modern storage solution. By deploying a software-defined infrastructure with new file services, Dell PowerFlex enables unified block and file capabilities on a single platform that consolidates traditional and modern workloads. Businesses can derive critical insights to grow in the digital era using these advancements.
Apr-2021: IBM released IBM Spectrum Fusion Hyper-Converged Infrastructure, advanced storage solutions. The company aimed at simplifying data accessibility & availability across hybrid clouds along with planning to ship new container-native software-defined storage solutions designed to help companies expand data availability across complex hybrid clouds for greater business performance and resilience.
Acquisition and Mergers:
Jan-2023: Microsoft Corporation completed the acquisition of Fungible, a developer of composable infrastructure for accelerating the company's data center network and storage performance. The acquisition would enable the company to enhance its broad range of technologies and offerings in offloading, improving latency, increasing system density in data centers, and reducing expenses.
Sep-2022: Google Cloud took over Mandiant, a dynamic cyber defense, threat intelligence, and incident response service provider. The acquisition would enable the company to help enterprises reinvent security, improving their threat, incident, and exposure management.
Jul-2022: IBM took over Databand.ai, a leading provider of data observability software. This acquisition aimed to provide IBM with the most comprehensive set of observability offerings for IT across applications, data, and machine learning and would continue to provide IBM's customers and partners with the technology they require to provide trustworthy data and AI at scale.
May-2022: NetApp took over Instaclustr, a leading platform provider of a fully managed open-source database, pipeline, and workflow applications delivered as a service. The acquisition would combine continuous storage and compute optimization of the company with Instaclustr's fully-managed database and data pipeline services to provide customers with a cloud operations platform that enables an optimized foundation for their applications in the public clouds and on-premises.
Mar-2022: Microsoft took over Nuance Communications, a leader in conversational AI and ambient intelligence industries. This acquisition aimed to bring together Nuance's best-in-class conversational AI and ambient intelligence with Microsoft's secure as well as trusted industry cloud offerings. Also, this acquisition would help providers offer more affordable, effective, and accessible healthcare, and help businesses in every industry create more personalized and meaningful customer experiences.
Mar-2022: Intel signed an agreement to acquire Granulate Cloud Solutions, an Israel-based developer of real-time continuous optimization software. The acquisition would complement Intel's current abilities by helping consumers realize performance benefits, cloud cost reductions & continue workload learning.
Feb-2022: IBM completed the acquisition of Neudesic, a leading U.S. cloud services consultancy. This acquisition aimed to expand IBM's portfolio of hybrid multi-cloud services and further improve the company's hybrid cloud as well as AI strategy.
Sep-2021: Hewlett Packard acquired Zerto, a new disaster recovery, and backup solution. This acquisition would position the HPE GreenLake edge-to-cloud platform in the high-growth data protection market with a proven solution and further propels HPE's storage enterprise into a cloud-native, software-defined data services business.
Jun-2021: Hewlett Packard Enterprise completed the acquisition of Determined AI, a San Francisco-based startup. This acquisition aimed to provide a strong and robust software stack to train AI models quicker, at any scale, utilizing its open source machine learning (ML) platform.
Jun-2021: IBM acquired Turbonomic, an Application Resource Management (ARM) and Network Performance Management (NPM) software, provider. This acquisition aimed to add Turbonomic to IBM's portfolio.
Jun-2021: NetApp acquired Data Mechanics, a managed platform provider for big data processing and cloud analytics. Through this acquisition, the company aimed at adding Data Mechanics*to its existing solutions that help businesses to advance their data and cloud initiatives by leveraging Apache Spark and Kubernetes.
Feb-2021: Cisco completed the acquisition of IMImobile, a leading global provider of cloud communications software and services. This acquisition aimed to integrate IMImobile's solution along with Webex Contact Center, to design a new robust Customer Experience as a Service offer. Additionally, this suite would combine artificial intelligence, collaboration, Communications, cloud contact center, and experience management as a Service to generate a single solution that would give the enterprise the capability to deliver the exceptional experiences consumers require.
Jan-2021: Cisco took over Banzai Cloud, a privately held company headquartered in Budapest, Hungary. Through this acquisition, the Banzai Cloud team would expand Cisco's expertise and abilities through its demonstrated experience with the entire end-to-end cloud-native application, deployment, and runtime, development, and security progress.
Dec-2020: IBM took over Instana, a German-American software firm. Through this acquisition, IBM aimed to deliver industry-leading, AI-powered automation offerings to handle the complications of modern applications that span hybrid cloud landscapes.
Market Segments covered in the Report:
By Component
By Storage Architecture
By Storage System
By Storage Medium
By End User
By Geography
Companies Profiled
Unique Offerings from KBV Research