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2026 IDC FinTech Rankings and Real Results Program

Jerry Silva — Fri, 23 Oct 2026 04:00:00 GMT

Now in its 23rd year, the IDC FinTech Rankings and Real Results program has not only continued to show the strength of technology investments in the financial services industry but has also demonstrated how AI is delivering real business value in those leading institutions that deploy AI enterprise-wide.

“AI has become a dominant force in technology spend across financial services, as indicated by the revenue growth among top IT providers worldwide,” said Jerry Silva, program vice president, IDC Financial Insights. “The deployment of AI across multiple operational and business environments is already creating value for financial institutions, as demonstrated by the IDC Real Results case studies.”

Q3 2026 AI Announcements and What They Mean for Edge Operating Models

Olga Yashkova — Fri, 23 Oct 2026 04:00:00 GMT

This IDC Market Note reviews Q3 2026 AI announcements with implications for edge, including U.S. and EU policy, on-premises AI hardware, storage and security offerings, and Huawei’s device and robotics ecosystem. It draws on IDC’s EdgeView Survey 2026 and shows that edge is now business-critical and increasingly AI-funded, while operating models and governance lag.

“Edge has become business-critical faster than operating models have matured. Organizations that settle ownership and resilience, prove ROI, and plan infrastructure site by site before scaling AI will be best positioned to capture value,” said Olga Yashkova, Research Manager at IDC.

UiPath FUSION 2026: Mapping the Future of Work Across Deterministic and Agentic Systems

Amy Loomis, Ph.D., Melinda-Carol Ballou, Andrew Gens — Fri, 23 Oct 2026 04:00:00 GMT

This IDC Market Note examines UiPath FUSION 2026, where the company organized its announcements around the Map of Work, a governed record of enterprise context at the center of a capture, build, run, and learn loop. UiPath positioned deterministic automation as a guardrail for agentic AI, paired its new Cartographer product with a named human role, and restructured Maestro. The document assesses the security, testing, and document workflow implications and what they mean for roles and teams. It identifies open questions on agent validation and release timing, and advises buyers to match automation to consequence, staff the map owner role, and require evidence of validation.

“Agentic AI is changing the jobs people do as much as the tasks machines perform.” — Amy Loomis, PhD, group vice president, Future of Work, IDC

IDC MarketScape: Worldwide AI-Enabled Manufacturing ERP 2026 Vendor Assessment

Sarah Lee, Mickey North Rizza, Bo Lykkegaard — Thu, 22 Oct 2026 04:00:00 GMT

This IDC study presents the IDC MarketScape assessment for worldwide AI-enabled manufacturing ERP applications, evaluating 16 vendors across strategies and capabilities specific to process and discrete manufacturing. The study finds the market separating into enterprise, midmarket, and SMB segments, with environmental health and safety functionality the widest point of differentiation and evidence quality, shipping and customer validated versus road map or aspirational, as important to assess as the AI capability itself. It discusses the most important criteria for manufacturers to consider when selecting a solution.

"Manufacturers should match the market segment: enterprise, midmarket, or SMB of ERP vendors to the complexity of their plant operations, not simply their company size, or risk paying for breadth they don't need or selecting capabilities that haven't been proven in a comparable environment," said Sarah Lee, global senior research director, Manufacturing IT Strategies, IDC Manufacturing Insights.

Live Content Translation and Localization in the Media and Entertainment Industry: 2026–2030 Market Analysis

Alex Holtz — Thu, 22 Oct 2026 04:00:00 GMT

This IDC Perspective sizes the market for live content translation and localization in media and entertainment from 2026 to 2030. It models a $430 million opportunity in 2026 growing to $850 million to $950 million by 2030 in the conservative planning case ($1.5 billion base case), examines the challenges and opportunities, and sets out a go-to-market playbook and enterprise adoption road map for technology suppliers.

"The decisive change is economic rather than technical. A single live production can now fan out into many addressable language products without duplicating the production and transport chain for each language," said Alex Holtz, research director, Worldwide Media and Entertainment Digital Strategies at IDC.

2026中国AI驱动的业务创新之厂商实践：打造AI原生企业——深信服“算力治理+智能体矩阵”的全业务链实践

Nicholas Guo — Wed, 21 Oct 2026 04:00:00 GMT

本IDC看法报告围绕深信服AI‑Native企业转型实践展开，“执行概况”部分提炼项目背景、核心关键要点与落地建议；“市场综述”剖析转型前业务痛点、三层技术架构、流程岗位重构、转型量化成效、对外输出能力、转型变革框架及未来演进方向；“给技术买家的建议”面向企业决策者输出可落地的选型与实施指引。

IDC中国高级研究经理郭越表⽰：“企业AI‑Native转型不是简单采购大模型工具，而是一套‘底座—场景—组织’的系统性工程。算力与知识底座是根基，业务智能体是载体，组织与人的适配才是价值释放的关键。国内大量企业还处在试点探索阶段，应当优先借鉴已验证的落地框架，规避重Demo而轻规模化的问题。”

Beyond the Meter: How AI-Enabled Energy Management Became a C-Suite Mandate in 2026

Bjoern Stengel — Wed, 21 Oct 2026 04:00:00 GMT

This IDC Perspective examines how AI is reshaping energy management decisions across five enterprise leadership roles — the CIO, the CTO/CAIO, the CSO, the CFO, and the COO — and what each should do next to capture measurable value. Energy efficiency is IDC's fastest-growing AI-for-sustainability priority, with prioritization up 52% in two years, and conversations at Climate Week NYC 2026 confirm the same shift from the vendor side: sustainability value is becoming inseparable from the core AI return-on-investment (ROI) conversation. IDC's 2026 AI and Sustainability Survey finds a 26-percentage-point gap in realized AI value between the least and most mature organizations; that maturity gap, more than budget, separates organizations that capture real financial and sustainability value from those still treating energy management mainly as a compliance and reporting exercise. IDC data indicates that 93% of organizations report deriving some sustainability value from AI and 75% call sustainability important to AI planning and procurement. However, only 45% measure AI's financial and sustainability return in a single joint methodology.

For technology leaders, the practical takeaways are direct: fix the OT/IT data foundation before scaling AI; match the AI architecture to the energy use case rather than defaulting to one modality everywhere; build a single methodology that measures financial and sustainability return together; and assign formal, cross-functional ownership across IT, sustainability, finance, and operations rather than leaving one function to build the business case alone. Done well, AI-enabled energy management helps organizations meet ESG compliance and net-zero commitments while driving cost savings, operational resilience, and infrastructure modernization; the same investment serves both goals rather than forcing a trade-off between them.

"Energy management is where sustainability stops being a reporting exercise and starts being a shared mandate across the C-suite. The organizations pulling ahead have the CIO, the CTO, the CSO, the CFO, and the COO all pointed at the same number, and that alignment matters more than how well resourced any single sustainability team is," said Bjoern Stengel, global sustainability research and practice lead, Sustainable Strategies and Technologies at IDC.

IDC MarketScape: Worldwide Talent Acquisition for Midmarket 2026 Vendor Assessment

Abhinav Shrivastava — Wed, 21 Oct 2026 04:00:00 GMT

This IDC study provides an assessment of talent acquisition vendors catering to midmarket buyers. Midmarket organizations are operating under the same AI-driven structural shift as the enterprise segment, but with far fewer resources to absorb it. Vendors’ capabilities are converging around similar AI and agentic features, but governance maturity varies widely. Pricing transparency, implementation speed, and the depth of available vendor support stand out as decisive factors for buyers. Buyers seeking to engage with a midmarket-focused talent acquisition vendor should confirm AI activation support, along with a governance framework and documentation, before signing a contract.

“Midmarket buyers are looking for a talent acquisition solution that enables their lean teams to strengthen candidate engagement, improve skill-signal quality, and drive overall hiring efficiency,” said Abhinav Shrivastava, senior research manager, Talent Acquisition and Strategy, IDC. “Vendors that help buyers deploy and scale AI for talent acquisition will overtake those that stay focused on building out capability without revisiting activation and value delivery.”

Trends in Cloud AI and Machine Learning

Rob Tiffany — Wed, 21 Oct 2026 04:00:00 GMT

This IDC Perspective examines AI and machine learning trends across seven cloud providers: Microsoft Azure, AWS, Google Cloud Platform, Oracle Cloud Infrastructure, Alibaba Cloud, IBM Cloud, and Tencent Cloud. It finds that the market has shifted from model access to agent operations, with every provider now offering a control plane to build, govern, and run agents. Capacity has become the main constraint on growth, custom silicon is reshaping inference economics, multimodel availability has become standard, and sovereign deployment options have matured. The document closes with guidance for technology buyers on agent governance, capacity contracts, inference benchmarking, portability, data context, agent security, and sovereignty.

"The cloud AI race is no longer just about who has the smartest model. It is about who can help you run thousands of agents safely, affordably, and on capacity you can actually get," explains Rob Tiffany, Research Director, Cloud Infrastructure at IDC. "Buyers who lock in governance and capacity on their own terms this year will have far more leverage in 2027 than those who simply follow their incumbent provider."

IDC MarketScape: Worldwide Talent Acquisition for Enterprise 2026 Vendor Assessment

Abhinav Shrivastava — Tue, 20 Oct 2026 04:00:00 GMT

This IDC study provides an assessment of talent acquisition vendors that primarily serve enterprise buyers. The research finds enterprise buyers dividing along a suite versus standalone architecture choice, where vendors embedded in a broader HCM system are weighed against purpose-built recruiting platforms on configurability and integration depth. Agentic AI has become the dominant vocabulary across nearly every profile, though vendor maturity varies widely in governance, auditability, and human oversight. Skills-based matching and candidate fraud detection are emerging as baseline enterprise requirements rather than differentiators. Buyers are advised to weigh platform maturity against their own hiring complexity and to treat AI governance evidence as a deployment prerequisite.

"Talent acquisition has moved from a people function to becoming a strategic revenue activation function for enterprises, and the buyers in the segment do not judge talent acquisition vendors by the count of AI agents or features," said Abhinav Shrivastava, research manager, Talent Acquisition and Strategy, IDC. "The vendors that can help buyers drive hiring and talent placement efficiency, empowered by transparent and auditable AI capabilities, will define enterprise hiring for the next cycle."