rsshardware

2026年国内ストレージソリューション市場調査： AI活用の本格化が促すストレージインフラ再設計

Yasusuke Suzuki, Yukihisa Hode — Fri, 26 Jun 2026 04:00:00 GMT

本調査レポートでは、国内ストレージソリューション市場のハードウェア、ソフトウェア、およびそのサブセグメントとしてSoftware-Defined Storage（SDS）、ファイル・オブジェクトストレージ、データ保護ソリューションの市場予測、および分析を提供している。また、需要サイドの動向分析として、国内ユーザーのストレージ運用実態調査に基づき、ストレージ運用の全般的な課題や改革意向を探るとともに、AI活用の進展が与えるストレージインフラへの影響、サイバーセキュリティへのストレージ観点での対応の意義などについて分析を行っている。

「生成AIをはじめとするAI技術のエンタープライズ実装が本格化する中で、企業におけるデータ利活用の成否はビジネスの競争力に直結する要素となっている。ストレージソリューションの提供企業は、製品の大容量・高速化だけでなく、AIパイプラインに最適化されたデータ管理、セキュリティ、そしてハイブリッド／マルチクラウド環境をシームレスにつなぐITインフラの改革提案を通じて、ユーザー企業の業務をAIネイティブに変革する支援を強化すべきである」とIDC Japan、Infrastructure, Imaging, and Devicesのリサーチマネージャーである鈴木康介は分析している。

AWS Summit New York 2026: Amazon Doubles Down on Agentic AI with Quick, AgentCore, and Kiro

Nina Turner, Jeff Janukowicz, Heather West, PhD — Fri, 26 Jun 2026 04:00:00 GMT

At the AWS Summit New York on June 17, 2026, AWS VP of Agentic AI Swami Sivasubramanian unveiled a comprehensive suite of agentic AI capabilities centered on three platforms: Amazon Quick, Amazon Bedrock AgentCore, and Kiro. The announcements mark an expansion in AWS’s strategy from custom silicon to cloud infrastructure to full-stack agentic solutions, positioning AWS to compete directly with Microsoft 365 Copilot and Google Workspace AI in enterprise productivity while reinforcing its platform lead for developers building production-grade agent workloads. The Summit also featured an expanded strategic collaboration with QuEra Computing, targeting fault-tolerant quantum computing availability on Amazon Braket by 2028 and signaling that AWS's platform ambitions extend beyond software to foundational compute modalities.

Databricks Launches LTAP to Unify Transactional and Analytical Data for the Agentic AI Era

Devin Pratt — Fri, 26 Jun 2026 04:00:00 GMT

Databricks has launched LTAP (Lake Transactional/Analytical Processing), a new architecture that unifies transactional, analytical, streaming, and operational workloads on a single copy of data in the lake. Powered by major advances in Lakebase, Databricks’ serverless Postgres on open object storage, LTAP aims to eliminate the ETL pipelines, replicas, and data movement that have separated operational and analytical systems for decades. Rather than combining both workloads within a single engine, as hybrid transactional/analytical processing (HTAP) does, LTAP unifies the two at the storage layer. Operational data written through Lakebase lands directly in open formats in the lake, immediately queryable for analytics, while each workload scales independently. IDC reads the announcement as part of the broader shift toward converged workloads, and as a sign that agentic AI may be turning that convergence from a preference into something closer to a requirement. LTAP is coming soon as part of Lakebase, extending a foundation that is already in broad production use.

Databricks' Data + AI Summit 2026: Expanding into the Application Platform Market

Matthew Flug — Fri, 26 Jun 2026 04:00:00 GMT

At its annual Data + AI Summit, Databricks advanced a strategy to extend from the company's data management foundation into the application platform and agent development, deployment, and governance layers, anchored by Databricks Apps, Unity Catalog, Unity AI Gateway, Agent Bricks, and the unification of transactional and analytical data through Lake Transactional/Analytical Processing (LTAP). The announcements position the company to compete for agentic application workloads on the strength of governed access to enterprise data as it continues to mature its offerings relative to established application platform providers.

IDC TechScape: Worldwide Healthcare AI Control Plane and Orchestration Technologies, 2026

Mutaz Shegewi — Fri, 26 Jun 2026 04:00:00 GMT

This IDC TechScape provides a structured framework for healthcare leaders to evaluate, select, and operationalize AI control plane and orchestration technologies. It analyzes transformational, incremental, and opportunistic solutions that enable scalable, governed, and workflow-integrated AI adoption across healthcare enterprises. The study highlights market trends, adoption maturity, risk profiles, and vendor landscapes, guiding organizations to balance innovation with governance, trust, and safety as they transition from isolated AI pilots to enterprise-scale AI deployment and operationalization.

“The future of healthcare AI will depend less on all things standalone and more on the ability to orchestrate, govern, and operationalize intelligent systems at enterprise scale,” says Mutaz Shegewi, senior research director, IDC Health Insights. “Healthcare AI is shifting from isolated to coordinated intelligence, where the real differentiator becomes the enterprise layer that integrates AI across clinical, operational, and administrative workflows.”

Mplify's EMEA-hosted Global NaaS Event, 2026: Charting the Path to NaaS for AI

James Eibisch — Fri, 26 Jun 2026 04:00:00 GMT

At its recent EMEA Global NaaS Events (GNE) conference held in Lisbon, Portugal, June 10–11, 2026, Mplify Alliance (formerly MEF) laid out how it is thinking about the role of network-as-a-service (NaaS) in an AI-dominated enterprise landscape, how NaaS can be federated across service providers, and how agentic AI can automate network life-cycle services orchestration (LSO) and operations.

These timely topics come as AI is stacking up demands on networks, starting from a small base but growing exponentially. Enterprise network leaders know that change is coming, but they are unsure what shape it will take or how it will affect their networks. Service providers are in a similar position: Despite being at the heart of the industry, the future is ultimately just as opaque to them, too. Mplify's current activities provide a needed foundation that should help the industry navigate that uncertain future.

Not for the Faint of Heart: Databricks Takes on the SIEM Incumbents

Frank Dickson, Michelle Abraham — Fri, 26 Jun 2026 04:00:00 GMT

At its 2026 Data + AI Summit, Databricks made clear that it no longer wants merely to enable the markets its customers operate in, unveiling a transactional/analytical architecture, LTAP, that brings together the Lakehouse and Lakebase, Databricks’ serverless Postgres-compatible operational database, a real-time lakehouse, an agentic customer data platform, and a deepening security push anchored by the announced acquisition of AI SOC vendor Panther. This move recasts the lakehouse as a security data fabric and pits Databricks directly against the SIEM incumbents it once only supported on its data platform. Databricks will succeed in SIEM, but the open question is how far it can extend beyond its current customers and the bespoke, build-your-own implementations seen at Apple and Adobe. Penetrating a market where CrowdStrike, Palo Alto Networks, Splunk, and Google have built formidable platform moats requires sustained investment, and Antimatter, SiftD.ai, and Panther are only the opening bids in a business not for the faint of heart.

Broadcom Mainframe AR Forum 2026: Agentic AI Comes to the Mainframe on the Platform's Own Terms

Jim Mercer — Thu, 25 Jun 2026 04:00:00 GMT

At its 2026 Analyst Forum in Boston, Broadcom's Mainframe Software Division (MSD) laid out an agentic AI strategy anchored in the idea that AI capabilities belong within products customers already license, not in separate AI-branded SKUs that require new procurement cycles. The company unveiled an MCP (Model Context Protocol) server road map spanning its DevOps, Data Management, and AIOps value streams, with several tools already in beta under existing entitlements. Broadcom also reaffirmed Open Mainframe Project Zowe's role as the open source integration layer enabling both modern developer tooling and MCP-based AI connectivity.

IDC MarketScape: Worldwide Quantum Computing 2026 Vendor Assessment

Heather West, PhD — Thu, 25 Jun 2026 04:00:00 GMT

This IDC study provides an assessment of worldwide quantum computing vendors with commercially available offerings through the IDC MarketScape model.

“2026 marks an inflection point for the quantum computing industry. Although fault-tolerant quantum computing has not yet been fully realized, a growing body of empirical business and scientific results is beginning to validate the long-term commercial direction of the market,” said Heather West, PhD, senior research manager and research lead, Global Quantum Computing Research, IDC. “As a result, vendors are increasingly competing not just as hardware developers, but as providers of broader quantum computing platforms integrating software, HPC, AI, cloud, and sovereign infrastructure capabilities.”

Market Forecast: IDC Global StorageSphere Forecast, 2026–2030

Adam Wright — Thu, 25 Jun 2026 04:00:00 GMT

This IDC study presents a forecast for the IDC Global StorageSphere market and delivers insights into the drivers and inhibitors of growth. The IDC Global StorageSphere sizes the worldwide installed base of storage capacity, the data stored on it, and the capacity available each year.

"Despite headwinds from storage efficiency improvements and macroeconomic uncertainty, the fundamental drivers of StorageSphere growth remain intact. Enterprise AI adoption and the growing strategic value of data retention will propel the global installed base of storage capacity to more than 26ZB in 2030." — Senior Research Manager Adam Wright, Global DataSphere and Global StorageSphere, IDC