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Bosch ConnectedWorld 2026: Manufacturing Co-Intelligence and the Next Phase of Industrial AI

Gunjan Bassi — Mon, 17 Aug 2026 04:00:00 GMT

This IDC Perspective captures key observations from Bosch ConnectedWorld 2026, where Bosch outlined its vision for physical AI, Manufacturing Co-Intelligence, and the role of semantic data architectures in scaling industrial AI. The event highlighted how agentic AI is moving from pilot projects to operational deployments, supported by governance, trust, and industrial context. Bosch also emphasized software-hardware decoupling, robotics ecosystems, and master data foundations as critical enablers of future manufacturing competitiveness. The document assesses the implications for manufacturers evaluating industrial AI adoption and for technology vendors competing in an increasingly context-driven market.

“BCW26 showed that industrial AI is moving beyond the model itself. Competitive advantage increasingly comes from operational knowledge, data context, and the ability to deploy AI at scale. Bosch’s message was clear: industrial AI succeeds when it is built on strong data foundations, governance, and operational discipline,” says Gunjan Bassi, research manager, Worldwide Industrial Internet of Things and Intelligence Strategies, IDC. “The real challenge is no longer proving that AI works but embedding it into manufacturing operations in ways that deliver repeatable business value.”

HCM and the Evolving Business HR Partner

Zachary Chertok — Mon, 17 Aug 2026 04:00:00 GMT

This IDC Market Perspective discusses how the role of the business HR (BHR) partner is shifting as AI and employee experience (EX) make performance and productivity tools, trends, and insights more directly accessible and actionable to employees and managers in the line of business (LOB). CHROs used to buy systems of record to centralize transactions, manage payroll, and track compliance. AI platform advancements and EX design considerations are remaking HR strategies while decentralizing solution and process ownership, automating how tools, resources, insights, and guided actions are driven directly into the hands of managers and employees. As technology vendors navigate the evolving buyer landscape, they must be more flexible to a maturing spectrum that reflects the evolving client-stakeholder environment, as AI not only changes buyer considerations but also how their stakeholders engage.

"AI is not just changing how buyers evaluate HR technology, it is changing the landscape of how purchasing decisions elevate and prioritize personas toward purchasing decisions," says Zachary Chertok, senior research manager for HCM Applications and Agents at IDC. "As the landscape evolves, technology providers need to keep pace and examine the need to accommodate a growing third dimension in the conversation that draws stakeholder centers in at the same time, rather than in a set and segmented order."

Headless, Agentic, and Overhyped: A Buyer’s Guide to CRM’s Loudest Year

Michelle Morgan — Mon, 17 Aug 2026 04:00:00 GMT

CRM vendors have swapped “copilot” for “agent” across all major platforms, but governance, identity management, and data hygiene have not kept pace. Salesforce’s headless push removes the browser-based review step most oversight was built around, while AI-native challenger CRMs pick up early-stage buyers without touching enterprise renewals just yet. This IDC Perspective separates real pressure from hype and offers concrete steps for buyers.

“The vendor community moved fast from ‘copilot’ to ‘agent’ this year,” says Michelle Morgan, senior research manager for AI-Enabled Sales, Customer Services, and Contact Center Strategies at IDC. “The data mess most CRMs are sitting on has moved nowhere. That gap is the whole story.”

IDC's Worldwide Communications Platform as a Service Taxonomy, 2026

Masarra Mohamed — Mon, 17 Aug 2026 04:00:00 GMT

This IDC study presents IDC's worldwide communications platform as a service (CPaaS) taxonomy for 2026. It defines the CPaaS market, establishes the primary segments and subsegments used for IDC market sizing and forecast work, and clarifies scope boundaries with adjacent markets including unified communications and collaboration, contact center as a service, and standalone identity and AI software. The taxonomy organizes the CPaaS market into six primary segments: messaging APIs, voice APIs, video APIs, network APIs, other APIs, and miscellaneous services, with associated subsegments reflecting how vendors package and sell programmable communications capabilities. This document is intended for CPaaS providers, telecom operators, technology buyers, and investors that need a consistent framework for analyzing the CPaaS market, positioning vendor portfolios, and interpreting IDC CPaaS market sizing and forecast research.

"The CPaaS market in 2026 is defined by the convergence of channel APIs, network APIs, and AI-enabled automation into unified intelligent customer engagement platforms. This taxonomy organizes the market to reflect how vendors provide programmable communications beyond isolated channels into intelligent integrated platforms." — Masarra Mohamed, senior research analyst, Communications Platform as a Service, IDC

IDC's Worldwide Converged Systems Tracker Taxonomy, 2026

Mon, 17 Aug 2026 04:00:00 GMT

This IDC study provides an overview of how IDC defines and measures the converged systems market. Technology definitions that directly relate to IDC's Worldwide Quarterly Converged Systems Tracker are provided as the descriptions of IDC's approach to segmenting this market.

"IT departments around the world are increasingly turning to converged systems to improve utilization rates of their infrastructure, reduce time to deployment of new applications, ease infrastructure management burdens, and reduce the risk of downtime," said Lidice Fernandez, group vice president, Worldwide Enterprise Infrastructure Trackers.

IDC's Worldwide Data and Analytics Software Taxonomy, 2026

Stewart Bond, Carlos Gonzalez, Marlanna Harrington, Megha Kumar, Devin Pratt — Mon, 17 Aug 2026 04:00:00 GMT

This IDC presentation discusses a modernized framework for categorizing the competitive data and analytics software market. This taxonomy defines three primary segments (analytic data management and engineering platforms, business intelligence and analytics tools, and decision intelligence and performance management), detailing their subsegments, representative vendors, and evolving capabilities. The study reflects the market's shift toward cloud, AI, and real-time analytics, supporting organizations' strategic, operational, and tactical decision-making needs.

"As data volumes surge and agentic AI transforms decision-making, the future of analytics software lies in mastering complexity, integration, and intelligence across every business function," said Marlanna Harrington, senior research analyst, Data, Analytics, AI, and Automation, IDC.

当AI开始读懂三维世界：中国空间智能市场的基础设施化拐点

Hongyu Cheng — Mon, 17 Aug 2026 04:00:00 GMT

本文围绕中国空间智能市场的基础设施化拐点展开，分析其如何从数字孪生和三维可视化，走向面向物理世界的理解、仿真、推演与决策。文章依次讨论空间智能的定义与技术边界、多源空间数据与世界模型带来的技术变化，以及其在城市治理、低空、水利、能源、工业和机器人等场景中的应用价值。同时，文章分析产业链从平台交付向"数据资产、空间引擎、模型能力、场景Agent和端侧系统"重构的趋势，并以飞渡科技为案例，呈现中国空间智能厂商向物理世界AI基础设施演进的典型路径。

IDC高级分析师程鸿宇表示："空间智能并不是三维可视化的简单升级，其核心是将物理世界中的几何、语义、拓扑和物理规律转化为AI可理解、可推演、可决策的能力。未来市场竞争将从'谁建得更好看'转向'谁算得更准确'，从项目数量转向数据闭环，并最终通过行业Agent和端侧设备形成业务价值。"

Dun & Bradstreet Introduces Agentic AI Capabilities for Compliance and Third-Party Risk

Patrick Reymann — Fri, 14 Aug 2026 04:00:00 GMT

Dun & Bradstreet's (D&B's) June 18, 2026, announcement embeds agentic AI into D&B Risk Analytics, automating onboarding, screening, and due diligence via its Model Context Protocol (MCP) server — starting with Anthropic's Claude, OpenAI Cursor, and Databricks, with Copilot, Google, and Perplexity planned. Anchored in the D&B Commercial Graph and D-U-N-S Number, it prioritizes verified data lineage over generic LLM automation. D&B cites up to 20x review capacity, 70–96% faster processing, and 50–90% fewer false positives, though these self-reported figures warrant pilot validation, especially amid governance concerns.

IDC Survey: IDC’s 2026 Worldwide Supply Chain Survey — Overall Results

Simon Ellis — Fri, 14 Aug 2026 04:00:00 GMT

This IDC Survey provides insight into the supply chain challenges and opportunities companies across all major industries are facing, their current priorities, the drivers of change in the strategic focus of their supply chains, the impact of ongoing disruptions (protectionism/tariffs and economic uncertainty), and the use of modern digital technologies, particularly AI. The data for this presentation comes from IDC’s 2026 Worldwide Supply Chain Survey and reflects the overall respondent base across all regions and industries polled. Sample size for this survey was 1,374, fielded in May 2026.

IDC Survey: State of Contact Center and Customer Service Technology — From Assistance to Autonomy in 2026

Michelle Morgan — Fri, 14 Aug 2026 04:00:00 GMT

This IDC Survey presents the findings of IDC's 2026 State of Customer Service and Contact Center Technology Survey, from the perspective of 256 contact center and customer service decision-makers. The survey results highlight critical challenges, agentic AI initiatives, and security and governance processes being considered or implemented by contact center and customer service organizations across a variety of industries. Companies in this research had more than 200 employees, with all respondents at the manager level or above in North America and the United Kingdom.