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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 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: 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: GRC Software, 2025 — From Fragmented Adoption to Platform Dominance: Execution Decides the Winner

Philip D. Harris, CISSP, CCSK — Fri, 26 Jun 2026 04:00:00 GMT

This IDC Survey draws on IDC’s 2025 Worldwide Governance, Risk, and Compliance (GRC) Software Survey (n = 1,024), which assessed cybersecurity program maturity, GRC platform adoption, vendor performance, and near-term investment priorities across a global panel of cybersecurity decision-makers in 14 countries. The survey reveals the following trends:

Risk-mature buyers with direct authority are driving integrated GRC platform investment.
GRC software adoption has tipped into full-suite expectation, making consolidation the primary growth strategy.
Two critical capability gaps — automated remediation and risk quantification — define the next platform battleground.
Post-sale experience and partnership depth are the new determinants of GRC vendor retention and growth.

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.”

Market Analysis Perspective: Japan Network Services, 2026

Yoko Ono — Fri, 26 Jun 2026 04:00:00 GMT

本プレゼンテーションは、国内ネットワークサービス市場に関してIDCが2025年～2026年に行った分析のサマリーを提供している。本市場に影響を与えるトレンド、競合分析、ユーザー動向、本市場の将来展望、ITサプライヤーへの提言などで構成される。

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.