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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。

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.

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 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 Share: Worldwide IT Automation and Configuration Management Software Shares, 2025 — the Year Buyers Started Buying the Chain, Not the Tools

Shannon Kalvar — Fri, 26 Jun 2026 04:00:00 GMT

This IDC presentation examines the 2025 market shares of the leading vendors in the worldwide IT automation and configuration management (ITACM) software market, tracking who grew, who slowed, and why. The worldwide ITACM market grew 14.6% to $11.0 billion in 2025, but the growth was driven less by competitive shifts than by a wave of corporate consolidation that is structurally reorganizing the vendor landscape.

"2025 was the year buyers stopped buying tools and started buying the chain that connects them," said Shannon Kalvar, research director, Enterprise Systems Management, Enterprise Client Platforms, Observability, and AIOps, IDC. "The vendors winning this market are the ones that can govern provisioning, configuration, orchestration, and execution as a single life cycle."

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.

EXL Investor and Analyst Day 2026: Data, Context, AI, and Trusted Execution as the Foundation for Sustained Business Outcomes

Jennifer Hamel, Sreenivas Duvvuri Venkata, Jennifer Eaton, Lars Goransson — Thu, 25 Jun 2026 04:00:00 GMT

This IDC Market Note provides an overview of EXL’s 2026 Investor and Analyst Day, held in New York City on May 13, 2026. At the event, EXL detailed a strategic framework of data, context, AI, and trusted execution, operationalized through three proprietary agentic platforms — EXLdata.ai, EXLdecision.ai, and EXLerate.ai — and an increasingly outcome-based commercial model. IDC analysts assess how EXL’s positioning maps to broader market dynamics and where its differentiation will need to hold as competition intensifies.

IDC MarketScape: Worldwide AI-Enabled Customer Data Platforms for B2C Users 2026 Vendor Assessment

Tapan Patel — Thu, 25 Jun 2026 04:00:00 GMT

This IDC study evaluates vendors of customer data platforms (CDPs) focused on B2C users and use cases. The CDP today sits at the center of how brands serve customers across marketing, advertising, commerce, and service, and increasingly across the AI agents acting on each side of the customer relationship. Customer expectations for personal, in-the-moment experiences keep rising; paid media costs keep climbing; and consent rules at the consumer scale keep tightening. AI is augmenting marketing from predictive campaigns toward semiautonomous decisioning, and personal AI agents are starting to research and compare and, in the future, will transact on consumers’ behalf. The result is a CDP decision that needs a longer horizon and a wider set of stakeholders. This study examines the buyer dynamics shaping the B2C CDP market, the forward-looking trends reshaping how CDPs are consumed by humans and AI agents alike, the use cases B2C organizations are building toward, and the buyer-side advice that determines whether the investment delivers.

“The next phase of B2C personalization will depend on whether the brand’s customer data and context are trustworthy enough for humans and AI agents to act on with the same confidence,” said Tapan Patel, research director, AI-Enabled Customer Data and Analytics, IDC. “The CDP is the layer that makes that possible, and the buying organization’s discipline around data readiness, operating model, and outcome measurement will also determine how much of that personalization the customer actually experiences and cares about.”