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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 Market Glance: Commercial Revenue Orchestration and Protection Applications, 2Q26

Heather Hershey — Fri, 26 Jun 2026 04:00:00 GMT

This IDC Market Glance is a taxonomy document intended to visually depict a concise current-state view of commercial revenue orchestration and protection applications, which help organizations acquire, convert, and retain customers while protecting revenue across digital and in-person commerce. These applications span the revenue life cycle from point-of-sale and payment platform enablement. As commerce architectures become more distributed, headless, and multiprovider by design, buyers are prioritizing interoperability and end-to-end observability across the revenue stack.

Use this information to understand the structure of the overall market or ecosystem; to assess market, business, and partnership opportunities; and to identify where their organization fits into the competitive landscape.

IDC Market Glance content is current on the date it is published. Representative content in this presentation reflects a qualitative snapshot that is regularly refreshed. Company logos are illustrative only and do not reflect an exhaustive view of the market.

IDC PlanScape: Process Improvement

Karen D. Schwartz, Giulia Carosella, Mickey North Rizza, Neil Ward-Dutton — Fri, 26 Jun 2026 04:00:00 GMT

This IDC PlanScape discusses process improvement.

“Twenty years ago, process rationalization and improvement were very labor-intensive, error-prone, lengthy processes, and as a result, people often ended up without making any real changes,” says Karen D. Schwartz, adjunct research analyst with IDC’s IT Executive Programs (IEP). “Today we have the knowledge and technology to understand what needs to be done and effect real, meaningful, lasting change.”

IDC PlanScape: Software Asset Management

Snow Tempest, Jevin Jensen, Mickey North Rizza — Fri, 26 Jun 2026 04:00:00 GMT

This IDC PlanScape outlines best practices for software asset management, emphasizing cost control, risk reduction, cross-functional benefits, governance, tool selection, and audit preparedness to optimize software investments and support automation and AI initiatives.

“Effective software asset management can help organizations control costs, improve security, and establish accurate data for automation and AI,” says Snow Tempest, research manager, IT Service Management at IDC.

IDC Survey Spotlight: How Are IT and Line-of-Business Buyers Approaching Growing Content and Experience Demands Differently?

Jordan Jewell — Fri, 26 Jun 2026 04:00:00 GMT

This IDC Survey Spotlight examines how enterprises are keeping up with growing content and experience demands, comparing the approaches IT and line-of-business buyers are adopting. The results, from IDC's 2025 CX Path Survey, reveal that while both groups prioritize AI agents for the content supply chain, their strategies diverge sharply after that: IT bets on generative AI and in-house teams, while line-of-business buyers rely more on freelancers, existing authors, and external content sources.

IDC Survey: AI on Cloud Infrastructure Adoption Trends in META, 2026 — Compute, Storage, Networking, and Silicon Choices

Jebin George — Fri, 26 Jun 2026 04:00:00 GMT

This IDC Survey examines how organizations across the Middle East, Türkiye, and Africa (META) are building and running AI in the public cloud. Based on IDC’s Cloud Pulse Survey, 1Q26, of 320 decision-makers in Saudi Arabia, the UAE, Türkiye, and South Africa, this report maps the AI infrastructure behind production AI and GenAI workloads across cloud AI spend, GPU and accelerator usage, compute platforms (VMs, containers, bare metal, serverless), storage, and networking for training and inference. It reveals where META differs: AMD’s Instinct MI300X leads as the most-used accelerator, AWS and Microsoft Azure co-lead, and silicon choices vary sharply by country. An essential read for cloud service providers, infrastructure vendors, and enterprise IT leaders, refer to the full report to benchmark your cloud AI strategy.

IDC Survey: Financial Services AI: Scaling Resilience and Platform Control

Dr. Chris Marshall, Maria Adele Di Comite, Sam Abadir — Fri, 26 Jun 2026 04:00:00 GMT

This IDC Survey Presentation examines how financial services institutions (FSIs) are adjusting AI, agentic AI, and technology infrastructure priorities in response to geopolitical instability, energy risk, and rising technology cost pressures. Drawing from IDC’s March 2026 Future Enterprise Resiliency and Spending Survey (FERS) Wave 2, the analysis shows that resilience is becoming the dominant technology response to external volatility. AI deployments are joining the security defense, operational resilience, and business continuity agenda, with agentic AI shifting from individual deployments to portfolio management, and platform strategy emerging as the key determinant of enterprisewide agentic AI control.

This document provides directional guidance and insights for financial services decision makers on:

Hardening cyber and infrastructure resilience through managed detection and response, zero trust approach, multiregion backup, and ESG-aware sourcing as geopolitical turmoil and energy risk reshape technology strategy.
Positioning AI as part of the operational defense agenda by tying AI investment to cyberdefense analytics, threat detection, and business continuity use cases alongside productivity and transformation objectives.
Managing agentic AI at portfolio scale by building cross-agent orchestration, monitoring, audit trails, and governance aligned with model risk expectations such as SR 11-7 and DORA.
Navigating multivendor agentic AI platform decisions by prioritizing interoperability, cross-agent management, governed execution, and third-party concentration risk controls in compliance with regulatory requirements.
Embedding compliance across every layer of AI and infrastructure strategy, from DORA ICT risk and incident reporting to Office of the Comptroller of the Currency (OCC) third-party risk guidance and SR 11-7 model risk requirements, and data residency requirements.

For technology vendors, the findings signal rising expectations around resilience-by-design, governed agentic execution, and platform strategies that reduce fragmentation and third-party concentration risk. AI and agentic AI are joining the digital operational resilience agenda, and advantage will come from secure infrastructure, governed platforms, and business continuity.