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2026火山引擎FORCE原动力大会——跨越质变点：从Token规模到生产交付

Lianfeng Wu, Nicholas Guo — Wed, 08 Jul 2026 04:00:00 GMT

全球企业正经历以AI为核心的业务重塑浪潮，AI驱动商业战略强调组织需将AI置于运营与竞争战略的核心位置，超越传统数字化转型，以AI驱动流程重构、决策加速与新价值创造。在这一框架下，大模型从“辅助工具”向“生产参与者”的演进，标志着AI业务价值兑现周期的开启。

伴随着Token的调用量的增长态势，MaaS市场的竞争重心正从Token调用规模转向Token价值的实际交付能力，即模型能力能否嵌入真实生产流程并创造可量化商业价值。大模型正由传统的问答、内容生成等基础应用，逐步具备复杂任务执行、工具调用和稳定交付能力，开始跨越“生产质变点”。伴随这一趋势，AI云基础设施需求同步放大，Agent长链路运行、多工具调用和多模态生成场景下的算力、存储和治理需求将进入加速增长周期。

IDC MarketScape: Worldwide Mailroom Solutions and Services 2026 Vendor Assessment

Robert Palmer — Wed, 08 Jul 2026 04:00:00 GMT

This IDC study assesses the market for mailroom solutions and services among the most prominent global vendors and identifies their strengths and challenges. This assessment discusses both quantitative and qualitative characteristics that position vendors for success in this important market. This IDC study is based on a comprehensive framework to evaluate mailroom solutions and services, including standalone capabilities suitable for self-managed environments and outsourced mailroom services.

"As enterprises accelerate their shift to hybrid work models, the mailroom is emerging as a critical enabler of digital transformation, moving from a back-office cost center to an intelligent intake hub that drives speed, compliance, and operational resilience," says Robert Palmer, research VP, IDC's Imaging Domain. "Organizations should partner with mailroom solutions providers that combine physical and digital mail capabilities with AI-driven automation, robust governance frameworks, and seamless enterprise integration to ensure secure, efficient, and auditable information flows across distributed workforces."

Market Share: Worldwide Cloud Application Deployment Platforms Software Share, 2025

Matthew Flug — Wed, 08 Jul 2026 04:00:00 GMT

This IDC presentation provides worldwide market size estimates and vendor share data for the worldwide cloud application deployment platforms software market in 2025. This presentation includes worldwide revenue, growth rates, and detailed revenue and market share breakdowns for leading vendors. The worldwide cloud application deployment platforms software market reached $23.7 billion in 2025, representing 25.7% year-over-year growth. As organizations scale AI workloads, application platform vendors are extending capabilities beyond traditional deployment tooling by combining compute access, deployment abstraction, AI inference, and developer-facing interfaces and, in some cases, AI hardware. Platform providers are also taking on greater responsibility for compliantly democratizing AI. By managing integrations between foundation models and organizations’ existing data and tools, these platforms are operationalizing AI investments at the enterprise level. Vendors that address infrastructure abstraction, enterprise integration, and secure data access for AI tools are well positioned to capture continued growth in this market.

“The demand for AI applications and agents is forcing humans, organizations, and tools to change. With heightened requirements for data, privacy, security, and abstraction, application platforms are well positioned to play a central role in helping organizations scale the development, deployment, and management of AI applications and agents.” — Matthew Flug, research manager, Intelligent Application Modernization and Deployment Platforms at IDC

The Agentic Enterprise Is Here: A Retail Lens on SAP Sapphire 2026

Ananda Chakravarty — Wed, 08 Jul 2026 04:00:00 GMT

This IDC Perspective discusses SAP Sapphire 2026 in Orlando (May 11–13), where SAP repositioned itself from an ERP vendor to a business AI company, recasting the application layer itself as an agentic stack. The day 2 keynote — led by CEO Christian Klein, with Member of the Executive Board Muhammad Alam, CTO Philipp Herzig, and COO Sebastian Steinhaeuser — rested on a blunt thesis: 80% accuracy may suit a consumer chatbot but fails in finance, supply chain, and HR. SAP’s answer was the SAP Business AI Platform. Governance runs through the SAP AI Agent Hub; trust is anchored by Anthropic’s Claude and NVIDIA’s secure runtime; and industry depth spans 26 industries, including retail’s Autonomous Unified Commerce, backed by a new RISE with SAP migration accelerator. Customer proof gives the vision weight. The recurring theme is that the rapid advancement of agentic AI is overtaking market forces, and a framework and an accompanying infrastructure will be necessary to leverage the modern business.

“Enterprise AI agents have advanced faster than almost anyone predicted. Agents can now reason, decide, and act across multistep workflows that were manual a year ago. But advancement isn’t the same as readiness. The accuracy tolerable for a consumer chatbot is nowhere near what finance, supply chain, customer experience, or HR demand, where ‘almost right’ carries real costs. The next phase belongs to organizations that pair agent autonomy with the data quality, grounding, and governance to make decisions trustworthy at scale,” says Ananda “Andy” Chakravarty, VP research at IDC Retail Insights.

Unified AI Platforms — Platformized or Compositional Architectures: Understanding the Differences

Kathy Lange — Wed, 08 Jul 2026 04:00:00 GMT

This IDC Perspective discusses how enterprise AI complexity is outpacing most organizations’ ability to manage it. As AI systems grow more autonomous, the architecture of the platform that governs them matters. This document examines two distinct architectural strategies in the unified AI platforms market: platformized architectures, where the platform owns and enforces the AI life cycle natively, and compositional architectures, where organizations assemble this life cycle themselves from APIs, SDKs, and external tooling. Neither is inherently superior, but they differ materially in who bears operational responsibility and how governance is enforced. Organizations that understand this distinction before evaluating vendors will be better positioned to choose an architecture that fits their engineering capacity, risk tolerance, and production-scale ambitions.

“Enterprises evaluating unified AI platforms are making a consequential architectural choice,” says Kathy Lange, research director, AI, Data, and Automation Software at IDC. “The line between platformized and compositional offerings is not always visible in vendor marketing, but it determines who owns the complexity of governing and operating AI at scale.”

IDC Survey: AI Market Developments in Türkiye: GenAI Momentum, Agentic AI Intent, and Deployment Readiness — Part 2

Melih Murat — Tue, 07 Jul 2026 04:00:00 GMT

This IDC Survey examines how organizations in Türkiye are moving from generative AI (GenAI) adoption toward agentic AI planning, funding, and execution. GenAI is already active in the market, but the next phase will be more demanding. Organizations now need to move from exploration and planned investment into governed deployments supported by clearer use cases, stronger onboarding, AI-ready data, and measurable business value.

The study highlights that Türkiye’s AI value story is no longer limited to basic automation. Organizations are applying GenAI and agentic AI where enterprise context, workflow fit, and domain knowledge can improve how work gets done across software development, IT operations, research, customer engagement, and decision support. When GenAI initiatives fall short, the response is also telling organizations are more likely to reassess the use case and strengthen internal data access than replace the technology.

The survey also evaluates agentic AI intent, budget commitment, deployment models, priority business areas, risk concerns, provider preferences, model strategy, solution-selection criteria, vendor support, and agent-sprawl controls. While interest in agentic AI is clear, scale will depend on whether organizations can strengthen data foundations, compute capacity, integration depth, governance, skills, cost control, and operational support. The findings suggest that Türkiye’s next AI phase will be defined by the ability to turn GenAI momentum and agentic AI ambition into controlled, measurable execution.

IDC Survey: Enterprise Buyer Behavior and Data Management Consolidation Trends

Marlanna Harrington — Tue, 07 Jul 2026 04:00:00 GMT

This IDC Survey Presentation summarizes key findings from the IDC’s Worldwide Syndicated Survey 2026: Data Management, conducted in April 2026 across 715 organizations in 14 global markets. Drawing on responses from decision-makers in organizations ranging from 500 to over 50,000 employees, it examines how and why enterprises are consolidating their data management toolsets, and where buyer behavior is heading as market pressures intensify.

Core themes include the relationship between digital maturity and tool complexity, the scope and pace of active consolidation efforts, and the tension between buyer preference for flexibility and the operational reality pushing organizations toward fewer vendors. Together, these findings offer a grounded view of how enterprises are rationalizing their data management portfolios in response to tool sprawl.

IDC Survey: IT Services Providers Performance, Growth Strategies, and Vendor Partnerships in the UAE, 2026

Eric Samuel — Tue, 07 Jul 2026 04:00:00 GMT

The IDC’s 2025 EMEA Partner Survey (UAE responses) was conducted to give IT services providers and technology vendors a data-backed view of how systems integrators (SIs) across the UAE are evolving their performance, capabilities, and ecosystem partnerships, with a specific focus on:

IT service providers’ performance and growth dynamics, including revenue trajectories, growth bifurcation between leaders and laggards, and the capability factors separating scaling providers from stalled ones
Strategic priorities shaping the next 12 to 24 months, covering customer success, AI-enabled service delivery, workforce transformation, and the market shifts SIs view as opportunities versus threats
AI capability and delivery maturity across client-facing and internal use cases, including where SIs are building capability, sequencing investments, and confronting skills gaps
Vendor partnership landscape, mapping which technology vendors SIs partner with, rank as strategic, and view as indispensable, alongside the program benefits and friction points that drive partner loyalty or churn
Cloud maturity, consumption economics, and marketplace engagement, including how SIs monetize proprietary IP, co-sell with ISVs, and scale workloads through hyperscaler marketplaces
Actionable implications for both IT services providers seeking to scale next-gen portfolios and technology vendors seeking to deepen SI partnerships in the UAE

IDC Survey: Unified AI Platforms and Governance

Kathy Lange — Tue, 07 Jul 2026 04:00:00 GMT

This IDC Survey explores how organizations are preparing for the next phase of enterprise AI, where success depends less on adoption and more on the ability to operate AI effectively at scale. As traditional AI and generative AI have become widely adopted, enterprises are shifting attention toward the infrastructure, governance, platform capabilities, and operational discipline required to support increasingly complex AI environments and agentic AI.

The growing pressure created by agentic AI, which is moving rapidly toward production, introduces new challenges around oversight, accountability, life-cycle management, and deployment control. While adoption is accelerating, many organizations are still working to establish the operating models and governance needed to support autonomous systems, creating a widening gap between deployment speed and enterprise readiness.

Unified AI platforms are emerging as enterprise control layers that bring together governance, security, observability, automation, and life-cycle operations. However, infrastructure limitations, fragmented environments, and governance gaps continue to constrain scale, with many organizations still focused on visibility rather than enforcement and measurable outcomes. As AI expands, the ability to consistently automate, govern, and operate AI systems will become a key differentiator.

Market Forecast: Worldwide IT Operations Management Software Forecast, 2026–2030

Shannon Kalvar — Tue, 07 Jul 2026 04:00:00 GMT

This IDC presentation projects that the worldwide IT operations management software market will grow from $26.0 billion in 2025 to $51.6 billion in 2030, with a five-year CAGR of 14.7%. This growth will be led by cloud services with an 18.9% five-year CAGR, with the EMEA region seeing the most robust growth (16.2% five-year CAGR) over the forecast period. Primarily, this growth is driven by the rapid, complexification of IT management across all workload types and disciplines as applications shift to include agentic architecture approaches to solving business needs.

"Intelligent operations across the multitude of disciplines needed to run the IT estate will define success as we re-architect the digital estate to embrace ephemeral, agentic applications," said Shannon Kalvar, senior research director, Enterprise Systems Management, Enterprise Client Platforms, Observability, and AIOps, IDC.