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Accenture’s Reinvention Services: Notes from the Bangalore Analyst Summit, April 2026

Tue, 23 Jun 2026 04:00:00 GMT

This IDC Market Perspective assesses Accenture’s Reinvention Services operating model, which went live on March 31, 2026, and was presented to industry analysts at Accenture’s analyst summit in Bangalore in April. The redesign consolidates Strategy, Consulting, Song, Technology, and Operations into a single business unit organized around seven C-suite–facing Reinvention Partners, three internal Reinvention Engines, and a dedicated Client Success unit, all reporting to a new chief strategy and services officer. This IDC Market Perspective evaluates the architecture against the three questions reshaping enterprise services demand in 2026: How providers will close the gap between AI capability and enterprise value realization, increasingly framed around agentic orchestration and operations at scale; how commercial models will evolve to reflect the speed and iterative nature of AI-led work; and how integrator operating models will be redesigned to deliver integrated outcomes rather than fragmented service-line offerings. The document then examines the productization push behind reinvention.AI and the broader asset portfolio, the commercial-model evolution toward outcome-based and joint venture structures (with fixed price work now exceeding 60% of revenue), and the competitive contest between the integrated GSI model Accenture is reinforcing and two adjacent models advancing in parallel: AI-native boutiques and the professional services arms of hyperscalers and major ISVs. The document closes with execution risks IDC will track over the next four to eight quarters and with specific implications for Accenture clients and the broader tier 1 GSI market.

“Accenture’s Reinvention Services architecture is one of the most explicit and integrated operating-model responses any tier 1 global services integrator has produced to enterprise AI demand. By organizing seven C-suite–facing Reinvention Partners along the functional axis and markets and client groups along the sector axis, with three Reinvention Engines providing productized assets across both, Accenture has built precisely for the matrix in which industry core value chains are reinvented end to end. The harder test is execution, which will be visible in client work over the next four to eight quarters. For clients navigating the discipline that operationalizing AI at scale requires, the Reinvention model offers a credible path forward, and IDC views it as one of the more consequential operating-model redesigns any tier 1 GSI has executed.” — Lars Goransson, vice president, Research, Worldwide Services, IDC

AIネイティブ時代のNEC戦略：「2030中期経営計画」を中心に

Yukiharu Yorifuji — Mon, 22 Jun 2026 04:00:00 GMT

NECは、2026年5月12日に2030年度（2031年3月期）を最終年度とする「2030中期経営計画」を発表した。本調査レポートは、当該計画を中心に、同年4月24日の「NEC BluStellar Update」、同年6月1日の「NEC IR Day」での発表や、取材内容を基に、NECの今後の事業計画をまとめ、分析したものである。NECのITサービス事業の中核となる「BluStellar」の進化、AX（AI Transformation）への注力などを中心に記述している。

IDC Survey Spotlight: From Pilot to Production — How Rapidly Is AI Agent Adoption Maturing?

Pushkaraksh Shanbhag — Mon, 22 Jun 2026 04:00:00 GMT

This IDC Survey Spotlight examines the global state and scale of enterprise adoption of AI agents in production, as well as region-specific nuances and trends. Results from IDC’s Future Enterprise Resiliency and Spending Survey (FERS) Wave 1 (February 2026) and Wave 2 (April 2026) reveal that the proportion of AI agent pilots dropped from 17.8% to 12.8% among organizations worldwide across the two FERS studies, while there was a meaningful uptick of 6.8% in single-area production deployment of AI agents. Additionally, survey findings indicate that the mean agent types in production are expected to grow from 23.5 (April 2026) to 43.2 by end-2026, a gain of almost 84%. These findings suggest that multiple new opportunities are opening for IT SPs as enterprises seek to adopt and rapidly scale new AI agents across the breadth of their operations.

IDC's Worldwide Datacenter Facilities and Services Taxonomy, 2026

Andrew Buss, Luis Fernandes, Mikhail Jaura, Mary Johnston Turner — Mon, 22 Jun 2026 04:00:00 GMT

This IDC study updates IDC's definitions for assessing the scope and scale of datacenter facilities buildouts, operator types, and critical infrastructure components, excluding IT equipment deployed within datacenters. As with all taxonomy documents, this taxonomy will be continually revised and edited to ensure its applicability to market offerings.

"This updated IDC datacenter taxonomy provides the definitions and segmentations used by IDC analysts to track the global datacenter facilities and operations footprint," explains Andrew Buss, senior research director, Digital and Datacenter Infrastructure and Services at IDC. "The document serves as a guideline for users to better understand IDC's datacenter research and provides a standardized framework for defining metrics used within the Semi-Annual Datacenter Facilities Tracker and other IDC datacenter facilities research."

2026年国内ビジネスコンサルティング事業者の動向： AIとエージェントがもたらす変化

Takuya Uemura — Fri, 19 Jun 2026 04:00:00 GMT

本調査レポートは、国内ビジネスコンサルティング市場における主要事業者のビジネス動向を定性的に分析した結果をまとめたものである。また、同市場における主要事業者の提供体制／オファリング、ビジネス概況、成長戦略をプロフィールとして掲載している。

国内市場の主要なビジネスコンサルティング事業者は、出自の違いを超えて、AI（Artificial Intelligence）を前提とした顧客の全社変革や産業変革の支援へと収斂しつつある。同時に、人員拡大に依存した成長モデルからの脱却に向け、コンサルティングデリバリーへのAI活用と人月型課金からの脱却を模索しているが、その変革は依然として途上にある。「出自の異なるプレイヤーが同じ方向へ収斂する中で、AIネイティブなコンサルティング組織への変革を掲げること自体は共通の前提である。個人が生み出した成果を事業者全体のアセットへと還元し、プラットフォームとして収益化する循環を、より早期に組織的なオペレーションとして定着させる、実装の速度と深さが、今後の主要ビジネスコンサルティング事業者の競争力を決定づけるであろう」と、IDC Japan、AI and Automationのシニアリサーチマネージャーである植村卓弥は述べている。

IDC Market Glance: IT Skills for Digital Business, 2Q26

Gina Smith, PhD, Leonardo Freitas — Fri, 19 Jun 2026 04:00:00 GMT

This IDC Market Glance explores the changing landscape of IT skills for digital business, focusing on the technologies, platforms, and providers that help organizations build workforce readiness. It highlights key players and maps the market across skills development, domain-specific training, and skills assessment and accelerators.

Today's IT skills ecosystems, once defined by periodic certification and standardized training, are increasingly shaped by GenAI, cloud modernization, cybersecurity demands, and faster software release cycles. As enterprise technology development continues to accelerate, organizations need workers who can continuously apply new capabilities in real time.

As AI begins to fundamentally change workflows, basic technical training is no longer enough. End users need adaptive learning, hands-on practice, assessment, and human skills to work effectively with new technologies and manage growing complexity. To compete, organizations must align workforce development with business priorities. They must invest in continuous upskilling and build scalable skills strategies that evolve as quickly as the technologies they support.

IDC Survey Spotlight: How Are Global Enterprises Validating IT Skills Now?

Gina Smith, PhD — Fri, 19 Jun 2026 04:00:00 GMT

This IDC Survey Spotlight examines data from IDC’s 2026 Future Enterprise Resiliency and Spending Survey Wave 3 to explore how organizations are grappling with IT skills validation across four key regions: North America, Asia Pacific, Western Europe, and the Middle East and North Africa.

“As skills shortages emerge as a top risk among global enterprises, organizations face a compounding challenge: not only finding and training skilled talent but proving it exists at all.” – Senior Research Director Gina Smith, IT Skills for Digital Business, IDC

IDC Survey Spotlight: Which Network Initiatives Are Enterprises Turning to Consulting and Integration Partners to Deliver?

Leslie Rosenberg — Fri, 19 Jun 2026 04:00:00 GMT

This IDC Survey Spotlight, based on IDC's Worldwide Network Consulting Services End User Survey (March 2026), examines the top network initiatives enterprises turn to consulting and integration partners to deliver. Demand concentrates on AI-centric priorities, building and operating networks for AI workloads, and using AI to automate network insights and operations, alongside multicloud networking, network automation, and datacenter modernization. Rising architectural complexity, persistent skills gaps, and the drive to automate are pushing organizations toward partners with proven, AI-ready expertise, shifting the provider opportunity from project-based deployment toward strategic, outcome-led engagement across design, integration, and operations.

IDC Survey: Trust as Architecture: The Sovereign AI Partner Imperative Across Asia/Pacific and Southeast Asia

Deepika Giri, Shashank Nigam, Daeil Chun — Thu, 18 Jun 2026 04:00:00 GMT

This IDC Survey presents insights from an online survey conducted in December 2025 with 540 senior IT decision-makers and business leaders from organizations with 500 or more employees across Asia/Pacific and Southeast Asia.

The research highlights that digitally mature Asia/Pacific markets are advancing sovereign AI deployments in response to governance pressures, while much of Southeast Asia is still assessing business value and building delivery capabilities. Across both regions, evaluation priorities have shifted: security architecture, data residency, responsible AI, and open-standards interoperability now outweigh model performance in decision-making.

Solution consideration patterns reflect distinct ecosystem dynamics, with some markets emphasizing scalability and orchestration, and others focusing on integrated governance and localized operations.

The document concludes that success in sovereign AI hinges not just on technology, but on robust partner ecosystems capable of operationalizing governance intent through clear shared-responsibility models spanning cloud, platform, and services.

The State of WebAssembly, 2Q26

Matthew Flug — Thu, 18 Jun 2026 04:00:00 GMT

This IDC Market Presentation examines the state of WebAssembly (Wasm) as it expands beyond the browser into server-side, edge, and on-device deployments in 2Q26. Drawing on IDC survey data, the presentation assesses how organizations are positioning Wasm alongside containers (where adoption is concentrating across security, AI, and scalability use cases) and which tooling and standardization gaps continue to bound workloads that Wasm can address. The presentation also evaluates how Wasm supports emerging AI agent workloads through sandboxed, deny-by-default execution and capability-based access, and the path toward Wasm operating as embedded infrastructure within edge networks, cloud function services, and plug-in hosts.

"WebAssembly is moving from a browser technology toward an invisible infrastructure embedded beneath the platforms developers already use. Server-side adoption is expanding as a complement to containers rather than a replacement, with buyers focusing on security isolation, edge inference, and sandboxed AI agent execution. Wasm's progress toward increased adoption still depends on continued WASI maturation and wider language and tooling support," said Matthew Flug, research manager, Intelligent Application Modernization and Deployment Platforms at IDC