中国企业的活跃智能体规模正在进入一段前所未有的加速期。随着本土模型能力的持续升级、智能体技术与应用生态的快速成熟,以及产业政策的叠加共振,中国企业活跃智能体数量将在2031年突破3.5亿规模,年复合增长率达到135%以上,这一增速将领先全球主要市场。同时由于智能体任务执行密度的增长和任务复杂度的提升,也将带来智能体Token消耗年均超30倍的指数级跃升。在规模爆发的背后,是中国智能体市场技术、生态、政策的三重叠加

中国智能体规模爆发的底层逻辑

中国智能体市场之所以能够在未来几年迎来如此陡峭的增长曲线,有三个关键因素:模型能力的跃升,智能体生态的成熟,以及产业政策的推动。三者的叠加,共同构成了这轮爆发的底层逻辑。

1. 模型能力的跃升

过去两年,中国本土大模型在推理、工具、代码、长上下文处理等核心能力上持续突破,为智能体的落地提供了坚实的技术底座。更重要的是中国本土模型兼具性能与成本优势,这使更多中小规模场景具备了经济可行性,也为智能体开始大规模进入企业场景创造了条件。

2. 智能体生态的成熟

模型能力的成熟只是基础,生态的互联则是智能体规模化更为关键的一环。以OpenClaw为代表的智能体产品,通过生态打通和工具整合,展示了智能体在跨系统跨生态场景下能够实现超预期的生产潜力。这背后正是MCP、Skills等标准化协议的落地,让智能体以标准化方式低门槛的接入更多的系统、工具和能力,拓展了智能体能够完成任务的边界,也为智能体的规模化提供了现实条件。

3. 产业政策的推动

产业政策也是中国市场智能体爆发的重要推手。国务院印发的《关于深入实施”人工智能+”行动的意见》(国发〔2025〕11号)明确提出,到2027年智能体等应用普及率超过70%,到2030年超过90%,同时,各部委及地方政府也在产业政策与财政支持层面持续加码。在政策支持下,智能体相关项目的预算确定性与推进节奏会进一步提升,推动中国智能体市场进入加速放量阶段。

规模化将带来更大挑战

当模型能力已经跨过可用门槛,智能体技术和生态日趋成熟,企业获得智能体的门槛正在快速降低。但拥有智能体只是第一步,企业真正的挑战,则是如何在生产环境中稳定、安全、可持续地同时运营成百上千个智能体。

1. 架构压力:系统必须对AI可读

随着智能体逐步融入企业运营的核心执行层,企业级软件系统正进入一个新的设计范式。未来的系统在服务人类用户的同时,也需要具备高度的AI可读性,使智能体能够通过MCP等标准化协议进行无缝调用。这对软件供应商的产品架构提出了系统性的升级要求。

2. 治理压力:信任成为生产前提

随着智能体进入核心业务流程,全链路可观测、细粒度权限控制、可审计机制将成为基础能力。

尤其在中国市场,数据安全与信创要求使部署环境更为复杂。核心数据不出域成为前提,端云协同与混合部署成为常态。智能体数量越多,治理能力越成为门槛。未来的分水岭,不在技术,而在组织信任结构。

3. 成本压力:Token正在改变IT预算逻辑

当前中国市场的企业端的Token消耗仍以对话与生成式AI为主,但随着智能体运行规模与任务复杂度的同步提升,活跃智能体的Token消耗进入高速增长期,将为企业带来持续的成本压力。因此成本可观测与效能监测,将成为智能体应用商业可持续性的核心能力。

四类智能体,四种增长路径

并不是所有智能体都会以相同节奏增长。中国市场正在形成四类结构分化。

  • 应用内智能体:最快落地,但增速将趋稳

在智能体技术普及初期,ERP、CRM、IM等企业级SaaS厂商正积极在其产品线中嵌入智能体能力,依托入口优势与庞大的客户基础快速打开市场。应用内智能体的核心优势在于零迁移开箱即用,天然打通已有业务数据和工作流,且与企业存量采购路径一致,能够大幅降低企业应用智能体的决策门槛和组织阻力。随着企业需求逐步向端到端跨系统协同演进,此类智能体的增速将在2027年后将逐步放缓。

  • 低代码/无代码智能体:数量最大

在中国市场,基于低代码/无代码平台构建的智能体在数量上将持续占据绝对多数,主要得益于中国市场早期开源和免费的平台级产品的教育和普及。这类智能体能够支持业务团队快速开发智能体,降低智能体应用门槛,满足企业长尾场景中的智能体需求,因此总量将非常巨大。IDC预测,这类智能体将从2026年的约300万增长至2031年的近2亿,并始终占据全部活跃智能体的半数以上。

  • 独立智能体:弹性最大

独立智能体是不依附于某个主应用、能够跨系统执行复杂任务的智能体产品,当前的部署规模仍然较少,但增速弹性最大。独立智能体会随着系统的开放性和智能体互操作协议与工具生态(如MCP等)的发展而快速爆发。到2031年,中国市场独立智能体的活跃数量占比将从2026年的7.5%升至20.1%,与应用内智能体的数量持平。

  • 定制智能体:数量少,价值密度高

定制智能体的部署数量占比最少,其主要服务于专有业务、高安全性与高可控需求的高价值场景,尤其是大型国有企业、政府及事业单位这类对信息安全和自主可控有严格要求的组织。定制化交付成本高、实施周期长、治理复杂度大,这类智能体的数量不会特别多,其增长更多体现在价值密度而非数量。

IDC中国研究经理孙振亚表示,这一轮增长将为企业打开一个难得的战略机遇期,率先布局智能体的企业,将在效率提升、成本优化与业务创新三个维度同步获益。在这一进程中,企业应尽快完成从智能体场景验证到规模化运营的能力沉淀,在架构升级、治理体系与成本管控上做好准备。

给技术供应商与企业用户的建议

智能体技术生态的成熟与国家战略的牵引正在形成共振。企业应主动将智能体纳入数字化转型的核心规划,加速完成智能体体系能力的沉淀;而技术供应商更应紧抓这一战略机遇,抢占发展先机。建议技术供应商和企业采取如下行动:

  • 推动AI可读的架构演进

积极采纳MCP等主流互操作标准,通过模块化与标准化接口降低集成门槛,使智能体能够跨生态系统流畅地检索信息、调用工具并完成端到端的任务闭环。系统架构应从顶层设计上支持多智能体与人的灵活协同,以平台化、组件化思路沉淀可复用的能力模块,为智能体的规模化增长奠定基础。

  • 深化数据与知识工程建设

智能体的高效运转依赖于高质量的数据与领域知识支撑。中国市场SaaS渗透率相对较低,企业内部数据治理尚不完善,大量关键业务经验仍以隐性知识的形式留存在核心人员的经验中,尚未转化为可被系统化调用的显性资产。企业应优先推进数据治理与知识沉淀,打通数据孤岛,将行业专有经验与隐性知识转化为智能体可调用的规则体系与知识资产。

  • 建立智能体运维体系

随着智能体运行规模与任务复杂度的同步提升,Token消耗将进入高速增长通道,算力成本将成为关键要素。技术供应商需在Token缓存、上下文加载、智能体记忆管理等环节持续布局,企业则需建立常态化的成本效能监测与治理机制,精准掌握各项投入产出指标,确保技术应用的商业可持续性。

  • 完善合规治理与可观测性

在引入智能体之初即应规划健全的权限管理、行为审计与责任追溯机制,将合规约束转化为标准化的平台服务。尤其在政务、金融、央国企等强监管领域,全链路可观测与可审计的能力覆盖将成为生产级部署的基础要求。

更多研究,请关注IDC 2026年中国AI研究计划。

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Zhenya Sun - Research Manager - IDC

Zhenya Sun is a research manager for the IDC team focused on exploring the application of technology and industrial development of AI and AI agents. He is also responsible for providing clients with consulting services on technologies, products, and markets related to large language models (LLMs) and AI agents, as well as delivering speeches at industry conferences and internal seminars. Before joining IDC, Zhenya served as a project management officer (PMO), responsible for internal and external strategic consulting, AI application research and advisory services, AI project framework standardization, management system construction, and technical training on AI applications. Prior to that, he also led initiatives in product development process optimization and user market analysis. Zhenya holds a Master's Degree in Engineering Management with a specialization in Information Systems Engineering from the University of the Chinese Academy of Sciences.

OVERVIEW

The escalation of conflict in the Middle East introduces a new macroeconomic and geopolitical variable into an already fragile global technology environment. While IDC does not comment on political dynamics, the technology sector implications are immediate and measurable. Based on early regional intelligence and IDC’s macroeconomic modeling framework, we see six primary impact vectors on IT spending: energy price volatility, cloud and data center resiliency, sovereign infrastructure acceleration, cybersecurity, supply chain, and shifts in consumer and enterprise investment sentiment. Given the early and rapidly developing nature of this situation, we are focusing most of our scenario analysis and forecasts on a war limited to the middle east  which lasts for less than 3 months. We won’t be publishing scenario data for a longer timeline at this stage. As we continue to monitor the situation, we’ll decide whether the likelihood of that longer timeline becomes clearer and more relevant.

In a downside scenario where the conflict lasts for up to 3 months, the impact on IT spending would be measurable but relatively moderate. Service providers are likely to maintain aggressive investment plans for AI infrastructure deployment at global scale, even in the context of a weakening macroeconomic environment. A relatively short conflict would have limited impact on demand for cloud services and enterprise software, but returning inflationary pressures could put a drag on device upgrades and some discretionary spending.

In this downside scenario, global IT spending would grow by around 9% in 2026, versus our baseline forecast of 10% growth. A longer conflict would have a more pronounced impact on IT spending but is currently more difficult to predict.

IT spending in the Middle East and Africa region was $155 billion in 2025, representing 4% of the global market, and is currently forecast to increase by 5% in 2026. This is lower than global growth, due to memory price pressures on device markets which make up a larger share of IT spending in the region.

In a downside scenario where the conflict is resolved within 3 months, IT spending growth in MEA would fall into the range of 3-4% this year, with negative implications for business and investor confidence in the short term. The impact at country level would be extremely mixed, reflecting oil supply dynamics and other factors. A longer conflict would have a greater impact.

However, we currently maintain our baseline forecast which assumes a short conflict that will be less disruptive for underlying IT demand including AI infrastructure deployment, cloud migration and ongoing digital transformation initiatives.  We will continue to monitor and update as the situation develops.

Below is IDC’s structured assessment of the near- and mid-term implications for IT spending across the Middle East and globally.

1. Energy Price Shock: The Primary Transmission Mechanism

Oil prices rose 7–8% immediately following the escalation, with Brent crude moving toward the $70–$80 range. IDC’s IT spending model has an oil price baseline average in the $65-75 range.  IDC’s model assumes average oil prices will rise between $75-85 based upon a 3-month conflict and if the conflict last longer, IDC expects oil prices to inch close to $100 or more.

Amplifying supply side concerns is the shutdown of Aramco refinery production—reportedly impacting approximately 500,000 barrels per day.  Qatar Energy has temporarily stopped gas production, which has escalated gas prices in Europe to 40-50% higher.  If the war continues for an extended period of time, the input costs will greatly increase for those countries that heavily rely upon gas and oil from the region.  

Energy price volatility is the most significant macro transmission through which this conflict will impact overall IT spending assumptions for 2026. Energy price increases will create new inflationary pressures and could have a significant impact on central bank monetary policy. Business and consumer confidence remain extremely fragile, following the period of high inflation in recent years, while IT products are also facing inflationary pressures from memory component shortages. Rising prices may result in spending delays and reallocations.

IT Spending Implications

Global Level
  • Higher energy prices increase operating costs for data centers, semiconductor fabrication, logistics, and manufacturing.
  • Sustained inflation may delay interest rate cuts, tightening capital availability for enterprise IT projects; and negatively impact business and consumer sentiment for IT purchases.
  • Input cost pressures could trigger reprioritization of AI and digital transformation initiatives.
Regional (Middle East)
  • Prolonged conflict and defense expenditures could offset surplus revenues from oil price increases, postponing spending on technology investments.
  • Only mandatory technology spending to support business continuity, strengthen cybersecurity, and adoption of sovereign infrastructure will be prioritized.
  • Government-led digital transformation programs may be sustained in wealthier Gulf states but face reprioritization elsewhere.

2. Cloud & Data Center Resiliency Becomes a Strategic Imperative

This war marks the first time where major cloud provider regions and availability zones are operating in an active conflict zone. A series of strikes on multiple facilities of a global cloud provider within multiple availability zones in first few days highlights architectural resiliency, but also the potential vulnerability of cloud environments in a period of sustained conflict. IDC projects that investments in cloud, storage and data center architecture will be an investment priority. However, data center construction is capital intensive and multi-year. Rising construction costs, higher financing costs, and supply chain friction could slow execution timelines.

Key Structural Shifts

  • Multi-Availability Zone (AZ) architecture becomes the minimum standard for enterprises and SaaS providers using public clouds. Multi-region becomes a best practice.
  • Risk modeling for cloud deployments by multinational entities will expand from country-level to regional resiliency frameworks.
Middle East Impact

We expect:

  • Acceleration of locally owned sovereign cloud and domestic datacenter investments with built-in redundancy.
  • Increased hyperscaler commitments to multi-AZ, physically separated infrastructure (e.g., three-AZ designs vs. single-AZ footprints).
Global Impact

Globally, this event resets expectations around:

  • Cloud recovery planning.
  • Resilient data center infrastructure
  • Geographic dispersion strategies.
  • Risk premiums embedded in infrastructure investment decisions.

While long-term cloud investment may increase, near-term project pacing could slow as enterprises reassess architecture.

3. Sovereign Infrastructure and Strategic Autonomy

Digital sovereignty was already a defining force in cloud strategy across the Gulf as countries prioritize digital self-determination for their organizations and citizens. Even at this early point in the conflict, governments across the Gulf, particularly capital-rich states, are likely to accelerate investment in sovereign digital infrastructure and distributed cloud models to strengthen agility, resilience, and long-term survivability. They will focus on:

  • Sovereign cloud platforms
  • National Public AI infrastructure
  • Enhanced Cybersecurity systems and response practices by government entities

Countries will increasingly focus on creation of a Critical infrastructure resilience model that aligns with a broader push for “strategic autonomy” and reduces over-reliance on foreign infrastructure providers:

  • Shared public:  Share infrastructure, global operations
  • Dedicated public: Dedicated region, shared operations with local partner
  • National public: Owned & operated by a local cloud service provider
  • Managed private: Customer of provider hosted, provider managed
  • Air-gapped private: Isolated, customer operated

Fiscal dynamics matter, however. Active military expenditures—estimated in billions within the first days of escalation—introduce budget trade-offs. The duration of conflict will determine whether sovereign IT investments accelerate or face temporary reprioritization.

4. Supply Chain: Memory Supply, Smart Munitions, and Semiconductor Pressure

The Middle East plays a crucial role in the global technology supply chain: both as an energy artery and as a logistics and transshipment hub. Any closure or sustained disruption of the Strait of Hormuz would represent a high-severity, low-frequency shock with material implications for global IT markets.

The Strait of Hormuz carries roughly 20% of global oil shipments and a meaningful share of liquefied natural gas (LNG) flows. The most immediate effects of the strait disruption would be to drive energy cost increases resulting in gas price spikes affecting Europe and Asia, higherdata center operating expenses, and increased semiconductor fabrication energy costs. Strait disruptions would also affect shipping and logistics, with expectations for elevated logistics and air freight costs, delays in inbound components destined for consumer technology assembly and distribution, and interruptions to outbound shipments into Africa and parts of Europe.

The strait also underpins major shipping lanes serving Gulf ports such as Jebel Ali (UAE), Dammam (Saudi Arabia), and Hamad Port (Qatar)—critical nodes for re-export of all types of products (including technology products and components) into Africa, South Asia, and parts of Europe.

The global memory market was already constrained prior to escalation. This conflict could exacerbate an already tight memory environment, creating ripple effects across the global IT hardware ecosystem.

Recent efforts to regionalize manufacturing—such as Lenovo’s Saudi-based manufacturing expansion—highlight the Middle East’s increasing role in the global tech supply chain

Risks include:

  • Logistics disruption through Gulf shipping routes
  • Delays in new manufacturing hubs
  • Increased insurance and freight costs

A sustained conflict would drive a spike in military consumption of advanced semiconductors and memory in smart munitions and drone systems and could trigger additional state interventions to secure semiconductor supply for national security purposes. These would introduce additional upward pressure on DRAM and NAND pricing, AI accelerator memory configurations, and Enterprise storage infrastructure costs. Enterprises planning AI deployments may re-evaluate project sequence if hardware costs rise further. Consumer device pricing is also at risk.

The broader effect will depend on the duration and geographic containment of the war. If the war is resolved within weeks, short-term disruption would likely be followed by rapid recovery. A longer conflict would have more serious implications for regional and worldwide market conditions.

5. Cybersecurity: Immediate Escalation and Structural Spending Growth

Geopolitical conflict materially elevates cyber risk. State-sponsored and proxy cyber activity typically increases during periods of military escalation, targeting:

  • Energy infrastructure
  • Financial services
  • Telecommunications
  • Government systems
  • Cloud platforms and SaaS providers

The Middle East has already been a focal point for advanced persistent threat (APT) activity. Escalation raises both attack frequency and sophistication.

Immediate IT Spending Impacts

1. Acceleration of Security Budgets
Security is typically one of the last IT budgets to be cut in uncertain environments. In this context, it is likely to expand. Enterprises and governments will increase spending across:

  • Managed detection and response (MDR)
  • Security operations center (SOC) modernization
  • Zero-trust architecture
  • Endpoint detection and response (EDR)
  • Cloud workload protection
  • Identity and access management (IAM)

2. Infrastructure Hardening
Critical infrastructure operators—energy, utilities, transportation—will increase investment in:

  • Operational technology (OT) security
  • Network segmentation
  • Air-gapped recovery environments
  • Backup and cyber recovery vaults

3. Cloud Security Uplift
As cloud environments become strategic targets, enterprises will:

  • Increase investment in cloud security posture management (CSPM)
  • Expand multi-region backup strategies
  • Demand higher transparency from hyperscalers regarding resilience and incident response

Regional vs. Global Effects

Middle East
  • Government-led cybersecurity programs will expand.
  • Sovereign cyber defense capabilities will receive additional funding.
  • Cyber resilience has become integrated into national digital transformation programs.
Global
  • Multinational enterprises with regional exposure will raise cyber defense spending.
  • Insurance costs for cyber coverage may rise, reinforcing investment in risk mitigation.
  • Defense-related cybersecurity and secure communications markets will grow.

Cybersecurity emerges as a relative beneficiary within overall IT spending, even if broader macro conditions soften total growth rates. Even in a scenario of a longer conflict, security investments would remain relatively resilient.

6.  Consumer Technology Spending and Sentiment

Consumer IT spending was already under pressure due to persistent inflation and memory-related device cost increases. Escalation adds:

  • Consumer sentiment deterioration, with consumer confidence still extremely fragile.
  • Higher device prices due to input costs
  • Supply chain disruption risk

The Middle East also serves as a transshipment hub—particularly through ports such as Jebel Ali—impacting flows into rest of the Middle East, Africa and Europe

Disruption to supply chains could affect PC, smartphone, and device availability regionally and beyond.

Meanwhile, industries linked to discretionary wealth—such as luxury real estate and tourism—may experience spending pauses, indirectly affecting associated enterprise IT investments in the region.

Outside of the Middle East, fragile consumer spending is unlikely to withstand a major or prolonged period of price increases, with rising energy costs potentially causing consumers to delay purchases of PCs, tablets, smartphones and other devices. With prices for these device categories already rising due to memory price shortages, this will only lead to more consumers choosing to wait before replacing their existing devices.  

IMPACT ON IT SPENDING & INVESTMENT

AI Investment: Acceleration or Pause?

Rising input costs and macro uncertainty may cause some enterprises to reassess AI production deployments, especially if the conflict lasts for a longer period. As with consumer confidence, business sentiment remains extremely fragile and uncertain. Any signs of areal slowdown in economic activity may translate into some projects being delayed or downscaled in the near term.

On the other hand, where proven ROI cases and measurable outcomes are delivering rapid efficiency savings, AI may in some cases be deployed more aggressively to mitigate macroeconomic headwinds. Our surveys have shown a consistent trend of more organizations indicating their intention to utilize IT deployments as a tactical response to macroeconomic pressure. This represents a change from previous economic downturns, when IT spending cuts were often a primary contingency response to the first signs of a softening external environment.

Overall, a relatively short conflict is unlikely to severely derail AI and IT spending plans for most organizations. Underlying demand is strong and has proven resilient in the face of external shocks such as tariffs and other geopolitical conflict in recent years. AI remains highly prioritized, with a strong focus on deploying at scale for greater business impact in 2026.

The greater risk would be from a longer conflict, which could place more pressure on available capital and resources due to inflationary pressures and supply chain disruption. AI spending would likely be more resilient than other types of investment, but not immune to a worst-case scenario. .

Two opposing forces are at play:

Constraining Forces
  • Higher infrastructure costs
  • Tighter capital environments
  • Memory scarcity
Accelerating Forces
  • Increased cybersecurity demand
  • Defense-related AI and analytics investment
  • Sovereign AI initiatives in the Gulf

Net impact will vary by geography:

  • Gulf states: continued state-backed AI investment likely.
  • Europe and Asia: greater macro sensitivity.
  • Global enterprises: tighter ROI scrutiny.

Three-Scenario Outlook for IT Spending

IDC’s forecasts for IT spending are updated every month to reflect the latest macroeconomic and industry data. This monthly forecast includes scenarios which reflect historical correlations between technology markets and their sensitivity to changes in economic conditions.

Our most recent baseline forecasts were published on February 27 and already reflect assumptions relating to some volatility in oil prices and supply chain factors. We’ve created two new scenarios to assess the likely impact of a regional conflict which lasts for up to 3 months (scenario 1) or most of 2026 (scenario 2).

While there will be some short-term disruption from a much shorter conflict which is resolved within weeks, we don’t currently plan to revise our baseline February 27 Black Book forecast. A shorter conflict will result in a much faster rebound and resumption of ongoing investments and projects over the course of the year. This is a highly fluid environment, and our baseline assumptions may change in the coming weeks, before the next scheduled forecast release on March 30.

Of the two alternative scenarios we have created, the more likely outcome is one in which the conflict is resolved within 3 months or less. This lingering conflict (months, not weeks) would have a more measurable impact on IT spending, resulting in around a 1.0 percentage point reduction in annual growth. Most of this impact would be concentrated in devices and discretionary project spending. In the absence of other external factors, we don’t expect service providers to significantly pull back their AI investment plans.

Compared to previous military conflicts such as the Iraq war in the early 2000s, the IT industry is now extremely different, having undergone a period of radical transformation over the past two decades. A much larger share of enterprise IT spending is now opex and subscription-based, while a larger share of infrastructure investment is now concentrated in the service provider segment.

The primary risk to enterprise IT spending is related to macroeconomic factors, in particular a period of much higher oil prices which would affect business and consumer spending in addition to central bank decisions around interest rate policy. In the second scenario, where a conflict lasts for more than 3 months, this would result in more postponements of IT projects and device upgrades. The impact on IT spending in this scenario would be greater than 1.0 percentage point.

In the Middle East/Africa region, the impact is more complicated, and likely to be more fluid in the context of ongoing political developments which are difficult to predict. Strategic, regional investment in AI is likely to continue, however, with most of the downside impact focused on business and consumer spending delays.

Our current baseline forecast of 5% growth in MEA IT spending this year would likely fall into a range of 3-4% in the first scenario, where the conflict lasts for several months. The smartphone market was already expected to decline this year, partly due to memory price increases, and things may get worse before they get better. Smartphones make up a larger share of IT spending in MEA than other regions, resulting in lower IT spending growth overall expected in 2026.

However, even in a worst-case scenario where the conflict lasts for longer than 3 months, underlying demand for cloud and AI deployment in the region is likely to remain strong and would recover quickly.

Baseline: Contained Conflict (Weeks)

  • Temporary oil spike.
  • Modest pause in regional projects.
  • Minimal revision to global IT growth outlook.

Scenario 1: Prolonged Regional Instability (Less than 3 Months)

  • Oil sustained at $85–$95.
  • Inflationary pressure dampens global IT growth by 0.5–1.0 percentage points.
  • Accelerated sovereign cloud buildout.
  • Slower consumer device recovery.

Scenario 2: Escalation and Energy Shock (6-9 months)

  • Oil above $100.
  • Delayed interest rate normalization.
  • Significant consumer contraction.
  • Enterprise reprioritization toward resiliency, cybersecurity, and critical infrastructure.
  • More pronounced impact on IT spending, especially in the MEA region.

IDC’s Strategic View

The war in the Middle East is not simply a regional geopolitical event, it is a structural test of the digital economy’s energy dependence, infrastructure resilience, and supply chain architecture.

Key themes IDC will monitor:

  1. Energy price persistence and inflation trajectory.
  2. Cloud infrastructure risk reassessment and redundancy investments.
  3. Memory market tightening linked to defense demand.
  4. Government fiscal trade-offs between defense and digital transformation.
  5. Consumer sentiment shifts and device demand elasticity.

While the Middle East faces immediate exposure, the global IT industry will feel second-order effects through energy costs, semiconductor supply, and capital allocation decisions.

In the near term, caution and scenario planning will dominate enterprise decision-making. In the medium term, this conflict may accelerate structural investments in sovereign infrastructure, cybersecurity, and multi-region cloud resiliency.

IDC will continue to refine its spending outlook as economic assumptions evolve. IT Spending forecasts are published on the last working day of every month, reflecting the latest market data and developments. We’ll monitor this data closely in the days and weeks ahead.

Stephen Minton - Group Vice President, Data & Analytics - IDC

Stephen Minton is a group vice president with the IDC Data & Analytics group, focusing on ICT spending and macroeconomics. Mr. Minton is responsible for Worldwide ICT Spending programs, including the Worldwide Black Book, Worldwide 3rd Platform Spending Guides, and Worldwide Telecom Services Tracker. Mr. Minton's research expertise includes global ICT and economic analysis, and he tracks market data across hardware, software, services, telecom and emerging technologies. He is the author of papers that focus on the economic impact of IT, and is a regular speaker on the subject of IT spending. In 2002 he addressed the United Nations in New York, speaking to UN ambassadors on the subject of the Information Society. Mr. Minton previously worked with Digital Equipment Corporation (DEC), before joining IDC in 1998. Originally from Hartlepool in the North of England, he graduated from the University of Salford in 1995. He has also worked in the field of consumer market research with Millward Brown International.

Laurie Buczek - GVP, Research - IDC

Laurie Buczek is the Group Vice President of Executive Insights at IDC, where she spearheads the global research initiatives that shape the industry's understanding of digital business transformation, evolving buying behaviors, and technology investments. She leads IDC's premier research practices, including the CMO Advisory Practice, C-Suite Tech Agenda, and Digital to AI Business Transformation. As the principal analyst for the CMO Advisory Practice, Laurie advises senior marketing leaders on driving business growth through deeper customer connections and the strategic evolution of the marketing function, with a keen focus on AI's transformative impact. Her expertise and thought leadership empower executives to navigate the intersection of technology, business strategy, and customer engagement in today's dynamic digital landscape.

Rick Villars - Group VP, Worldwide Research - IDC

Rick is IDC's chief analyst guiding research on the future of the IT Industry. He coordinates all IDC research related to the impact of Cloud and the shift to digital business models across infrastructure, platforms, software, and services. He helps enterprises develop effective strategies for using their diverse portfolio of cloud investments and applications. He supplies early guidance on implications of critical innovations such as the shift to cloud-based control platforms for deploying/managing infrastructure, data, and code delivery as well as the emergence of AI as a critical IT workload and part of all IT products/services.

Lapo Fioretti - Senior Research Analyst - IDC

Lapo Fioretti is a Senior Research analyst in IDC Digital Business Research Group, leading the European Emerging Technologies Strategies research. In his role, he advises ICT players on how European organizations leverage new technologies to create business value and achieve growth and analyzes the development and impact of emerging trends on the markets. Fioretti also co-leads the IDC Worldwide MacroTech Research program, focused on the intertwined connection between the Economical and Digital worlds - analyzing the impact key MacroEconomic factors have on the digital landscape and viceversa, how technologies are impacting economies around the world.

Andrea Siviero - Senior Research Director, MacroTech, Digital Business, and Future of Work - IDC

Andrea Siviero leads IDC's European Digital Business and Future of Work Research group. The group provides market research insights to foster a purposeful and fair adoption of technologies supporting digital societies, businesses and workforce and empower tech providers in strategic decision making, planning and go-to-market activities. Siviero also co-leads the IDC Worldwide MacroTech Research program, focused on the intertwined connection between the Economical and Digital worlds - analyzing the impact key MacroEconomic factors have on the digital landscape and viceversa, how technologies are impacting economies around the world.

Thomas Meyer - General Manager and Group Vice President, IDC EMEA - IDC

Thomas Meyer joined IDC in January 1999 and is currently responsible for managing IDC's Research Division in EMEA. This includes Practices focused on Digital Transformation, Cloud, Artificial Intelligence, IoT, Blockchain, Intelligent Process Automation and Accelerated Application Development as well as Core ICT (Software, Services, Infrastructure and Devices) and Industry-specific teams (Financial, Manufacturing, Energy, Retail, Healthcare, Government and Telco Insights)

Ashish Nadkarni - GVP/GM, Infrastructure Research - IDC

Ashish Nadkarni is Group Vice President and General Manager within IDC's worldwide infrastructure research organization. Ashish oversees seven global research practices: infrastructure software platforms, cloud and edge services, storage and converged systems, performance intensive computing, compute infrastructure and service provider trends, enterprise and emerging workloads, and the future of digital infrastructure. Additionally, he oversees two regional research practices: Canadian infrastructure solutions, and Latin America enterprise infrastructure and cloud services. Ashish and his team also curate BuyerView, an industry leading portfolio of primary research products that provide a voice of the IT buyer on technology and services adoption trends including cloud and edge services, artificial intelligence (AI), high performance computing (HPC), security and networking, xOps, and software development.

Simon Ellis - Program GVP - IDC

As Group Vice President, Simon Ellis currently leads the U.S. Manufacturing Insights, U.S. Energy Insights, and Global Supply Chain Strategies practices at IDC, specializing in advising clients on manufacturing/energy strategies, supply chain digital transformation, sustainability, cloud migration, network, and ecosystem design. Mr. Ellis works with end user companies, supply chain organizations and technology providers to develop best practices and strategies leveraging IDC quantitative and qualitative data sets. Within the Supply Chain practices, Mr. Ellis contributes extensively to the Supply Chain Planning and Multi-Enterprise Networks Strategies practice while also overseeing the Supply Chain Execution practices. These supply chain practices specialize in advising clients on supply chain network design, S&OP, global sourcing (Profitable Proximity and Low-Cost Sourcing), warehousing and inventory management, transportation, logistics, and more.

Ranjit Rajan - Research Vice President, Worldwide C-Suite Tech Agenda - IDC

Ranjit Rajan leads IDC’s Worldwide C-Suite Tech Agenda program, advising technology vendors and providers on offerings, competencies, and go-to-market strategies to engage C-level decision makers - including CEOs, CTOs, CAIOs, CIOs, CFOs, and other line-of-business executives. His program analyzes C-suite technology spending and buyer behavior, delivering insights on leadership dynamics, business objectives, technology priorities, and adoption of emerging technologies such as AI and agentic AI. He is a frequent speaker at CxO conferences and often moderates panels and roundtables on technology strategies for C-suite executives. He regularly advises technology vendors, service providers, and telecom operators on market positioning, competitive strategy, and CxO engagement, and has worked with government and regulatory clients on Smart City initiatives, ICT policy, digital skills and innovation. Ranjit also serves as executive analyst for key customers in Middle East, Türkiye, and Africa.

Harish Dunakhe - Senior Research Director, Software and Cloud, META IDC - IDC

Harish Dunakhe leads IDC’s research & advisory practice for the software program in the Middle East, Africa, and Turkey (META) region. He is responsible for a team of research analysts and manages the delivery of insights in IDC’s software program and syndicated research. Harish and his team have expertise in studying technology trends to provide our clients with thought leadership and actionable insights. He is based in Dubai.

Jebin George - Senior Research Manager, Software, Cloud, and Industry Transformation, IDC MEA - IDC

Jebin handles IDC's software, cloud, and industry-specific research for the Middle East, Turkiye, & Africa region. He is located at IDC's regional headquarters in Dubai and works closely with his team and other analysts to gain insights into digital transformation trends, analyze technology spending patterns, and advise technology suppliers and end-users.

Jean Philippe Bouchard - Vice President, Data & Analytics - IDC

Jean Philippe (JP) Bouchard is Vice-President, Data & Analytics at IDC Canada. In this role, JP is responsible for leading the team of analysts delivering Continuous Intelligence Services, Trackers and custom research in the Future of Work and Mobility group, by providing insights on how technology is changing work culture, the workspace, and the workforce itself in Canada. JP’s team also provides insights on mobile phones, PCs, tablets, hard copy peripherals, 3D printing, wearables, AR-VR and consumer services.

In January, Carla Arend, Rahiel Nasir and Luis Fernandes presented IDC’s predictions for cloud in 2026 and beyond. Below is a summary of the main points that were made in the webcast.

The need for digital resilience has never been more crucial

  • Tariffs, supply chain glitches, regulations, skills shortages… digital organisations are being assaulted from all sides.
  • For the majority of EMEA organisations, maintaining operational resilience and cyber security is the top priority.
  • To survive, organisations need to ensure their tech stack is robust and assess the strengths of their tech partner ecosystem. Adaptability and financial stability will also be key weapons to add to the armoury.

Digital sovereignty could help

  • Around half of organisations in EMEA have increased interest in implementing digital sovereignty solutions due to all the geopolitical uncertainties, such as trade tensions, regional conflicts, and regulatory shifts, witnessed in 2025.
  • Digital sovereignty solutions offer data owners complete control and autonomy over their digital assets – maintaining operational resilience is a key tenet of sovereignty.
  • Governance, risk and compliance solutions will be the key focus for organisations looking for sovereign cloud providers, especially for their AI. This will help them reassess their cloud provider options, determine the right IT venue for their workloads, and help to create a more robust tech stack.

The right venue for AI workloads

  • Enterprises are shifting to specialized AI providers and edge infrastructure to maximize performance and efficiency.
  • By 2028, physical AI use cases will experience explosive growth with cloud providers powering the bulk of these deployments at the edge with industry-specific AI agents and high-performance edge infrastructure.
  • By the end of this decade, at least 30% of advanced GPU needs will be met by specialised AI cloud providers offering true cloud features, flexible pricing, APIs, and software services (unlike GPU-only providers).

 AI and cloud modernisation

  • Cloud modernisation continues while legacy systems are re-platformed for AI, using autonomous agents to automate operations and orchestration.
  • Over the next two years, more than half of enterprise apps will leverage SaaS platforms to orchestrate predefined app functions and AI agents for real-time workflows, enabling modular and interoperable solutions.
  • By 2030, 45% will use cloud AI-infused tools to assess cost and performance metrics to optimise workload placement. Furthermore, a fifth will use AI agents to automate workload orchestration.

 Recommendations for cloud users

  • With geopolitical turmoil continuing into 2026 (and probably beyond), organisations are advised to take a risk-based approach to their cloud and AI strategies.
  • Choose the most appropriate venue for your workload. This should be supported by a hybrid and multicloud ecosystem of partners who offer services tailored to your needs.
  • The time to modernise your cloud estate to get ready for AI is now.

Watch the European cloud predictions webcast here:

For the EMEA FutureScape predictions webcast, click here.

If you would like more information on any of the above, please drop your details in here.

Rahiel Nasir - Research Director, European Cloud Practice, Lead Analyst, Digital Sovereignty - IDC

Rahiel Nasir is responsible for leading and contributing to IDC's European cloud and cloud data management research programs, as well as supporting associated consulting projects. In addition, he leads IDC's worldwide Digital Sovereignty research program. Nasir has been watching technology markets and writing about them throughout his professional life.

一个正在被低估的变化已经不只是算力池

过去十多年,云计算的核心价值在于弹性、规模和成本效率。但 IDC 指出,随着生成式 AI 和智能体(Agentic AI)走向生产环境,云计算正在发生一次根本性转变——它不再只是承载应用的基础设施,而正在演进为 AI 运行、治理与协同的核心平台

在中国市场,这一变化尤为明显。一方面,AI 应用对算力、数据、网络和安全提出了更复杂、更高频的需求;另一方面,数据安全、数字主权和成本压力,使企业无法简单依赖单一公有云模式。云计算,正在被迫“进化”。

在《IDC FutureScape:全球云计算2026年预测——中国启示》(Doc# ,2026年,1月)中,IDC 系统性地刻画了未来五年云计算将如何围绕 AI 重构自身形态与价值。

十大预测:AI 如何重新定义云计算的形态与边界(原文引用)

预测 1|云基础架构现代化

2027 年,海量的计算和数据需求将强制超过 85% 的中国组织将传统云环境转型适配 AI 工作负载的新型平台。

这意味着,传统以 IaaS/PaaS 为中心的云架构已难以支撑 AI 应用规模化,云基础架构现代化将成为企业发展智能业务的前提条件。

预测 2|代理式 AI 云运营

2027 年,80% 的中国 500 强企业将会部署代理式 AI 平台,为自动化 IT 云运营提供大规模、持续性的监控、分析、故障修复能力,最小化人工干预。

云运维正从“人驱动”走向“智能体驱动”,IT 团队的角色将随之发生转变。

预测 3|专业的 AI 云服务提供商

2029 年,区别于 GPU 资源提供商,至少 30% 的高等级 GPU 将由 AI 云服务商的具备云特性、灵活计费、API、软件服务的资源覆盖。

企业将越来越倾向于选择“懂 AI 的云”,而不仅仅是提供算力的云。

预测 4|边缘 AI 智能体

2028 年,具身智能将迎来爆发式增长,云服务提供商将通过在企业边缘环境部署 AI 基础设施和智能体支撑其中 60% 的业务场景。

AI 正从中心云走向边缘,云计算的服务边界被显著拉长。

预测 5|基于私有云的企业级 AI 平台

2028 年,为了满足数据隐私需求以及降低公共大语言模型的数据泄露风险,60% 的中国组织将采用能够在数据治理方面提供更多控制能力的私有云平台方案。

私有云正在成为企业级 AI 的关键承载平台,而非“过渡选择”。

预测 6AI 成本治理

2028 年,没有把 AI 投入并入成本治理范围的企业 FinOps 团队将在 AI 相关项目方面面临 30% 的成本增长以及更低的总体回报。

AI 时代,成本治理能力将直接影响云与 AI 投资的可持续性。

预测 7|异构云基础设施

2028 年,超过 80% 的中国组织将采用异构云基础设施,用于平衡混合的 CPUGPU、存储技术以优化 AI 工作负载的性价比。

单一算力形态已无法满足 AI 需求,异构成为常态。

预测 8|云端风险管理

2029 年,基于地缘政治的不确定性,50% 的实施数字化自治的中国组织将迁移敏感的工作负载到新的云平台以降低风险和提高自主能力。

云计算正在被纳入更宏观的风险与主权考量。

预测 9AI 辅助工作负载替代

2029 年,60% 的中国组织将采用云端的 AI 融合工具用于评估成本和性能指标,通过部署 25% AI 智能体自动化工作负载的协同,以优化工作负载的替代。

AI 将参与云资源与工作负载的“自我优化”。

预测 10|智能体 SaaS 平台

2029 年,50% 的中国企业应用将采用 SaaS 平台模式进行实时工作流中的预定义 APP 功能和 AI 智能体的协同,构建模块化和共享交互的解决方案。

SaaS 正在向“应用 + 智能体”的平台形态演进。

这些预测共同说明了什么?

IDC FutureScape 2026 反复传递出一个清晰信号:AI 已经成为云计算发展的第一驱动力。

云不再只是支撑 IT,而是直接决定 AI 能否落地、能否规模化、能否在合规和成本可控的前提下持续运行。忽视云基础架构演进的企业,将很难在 AI 投资上获得长期回报。

分析师观点

IDC 中国高级研究经理张犁认为,中国云计算市场正从“规模增长期”迈入“能力重构期”。FutureScape 2026 显示,云计算正在围绕 AI 重塑自身的架构、服务形态与商业模式——从基础架构现代化、代理式 AI 运维,到私有云与异构云并行发展。那些能够将云战略与 AI 战略深度融合的企业,更有可能在复杂环境中实现业务韧性与持续创新;而仍将云视为单一基础设施选项的组织,将面临更高的成本、风险与转型阻力。

一个面向管理层的综合建议

IDC 并不建议企业孤立地“上云”或“上 AI”。更重要的是, AI 为核心,重新审视云基础架构、云运营模式、成本治理与风险管理能力
云计算,已经从“是否采用”的问题,转变为“是否足以支撑下一代智能业务”的问题。

如需进一步了解与研究相关内容或咨询 IDC其他相关研究,请点击此处与我们联系。

Lee Zhang - Senior Research Manager - IDC

Lee Zhang is a senior research manager for IDC Cloud Computing whose research theme focuses on cloud technology, namely hybrid cloud infrastructure, cloud-native infrastructure, big data infrastructure, microservice architecture, and deep learning (DL)/machine learning (ML) architecture, among others. Lee is also responsible for providing project consulting, market analysis for cloud service providers and end users, in collaboration with IDC local and regional consulting/research teams. Lee previously worked as a solution architect for Alibaba Cloud in the retail business, primarily focused on hybrid cloud solution design and delivery, and digital transformation project management. He assisted all types of clients, such as private enterprises, state enterprises, and government departments, designing digital transformation solutions with cloud technology such as hybrid cloud infrastructure including infrastructure as a service (IaaS)/platform as a service (PaaS)/desktop as a service (DaaS)/software as a service (SaaS), middle-stage infrastructure, big data platform, migration to cloud methodology, microservice architecture, and DL/ML, to name a few. Lee graduated from Beijing Institute of Technology with a master's degree in Business Administration (MBA). He obtained his bachelor's degree in Automation from the Huazhong University of Science and Technology.

当前,中国工业行业正处于由“数字化”向“智能化”跨越的关键拐点,“人工智能+工业”融合发展已成为产业转型升级的核心引擎。向国内市场看,随着需求加速升级、政策持续加码、技术不断演进,工业 AI 正从概念探索迈向规模化应用的新阶段;向全球市场看,各地区及国家对工业场景 AI 采用的重视程度空前高涨,但由于产业基础、IT/OT 架构与合规环境差异,不同区域在落地阶段与机会窗口上呈现明显分化。IDC 认为,中国工业厂商可依托自身技术积累与产业链优势,以多元化路径有针对性地推进海外市场拓展,实现“场景能力—交付体系—生态伙伴”的渐进式出海。

国内市场

工业 AI 规模化落地与智能体爆发式增长的双向共振

工业 AI 的需求已从早期头部企业的探索性投入,转向全行业“提质降本增效”的刚需。根据 IDC 预测,到 2028 年,中国工业企业 AI 支出规模将接近 900 亿元人民币,年复合增长率达到 38%。

到 2030 年,全球活跃智能体数量将突破 22.16 亿个,年复合增长率达到 139%,其中工业领域的活跃智能体是最重要组成部分之一。IDC 认为,智能体数量的快速增长将与工业 AI 的规模化需求形成共振:一方面,工业企业对跨系统协同与流程闭环的诉求更强;另一方面,智能体作为“任务编排与流程执行载体”,有助于将 AI 从“点状能力”升级为“可运营的生产力”,从而加速规模化落地。

国家布局加码,“人工智能+”专项行动锚定工业 AI 规模化落地

2026 年 1 月,工业和信息化部等八部门联合印发《“人工智能 + 制造”专项行动实施意见》,明确提出到 2027 年推出 1000 个高水平工业智能体的目标,标志着工业智能体已从企业自发探索上升为国家层面的系统性布局;同期,国家发展改革委、国家能源局发布《关于推进“人工智能 +”能源高质量发展的实施意见》,与前者形成政策合力,共同推动人工智能技术与制造、能源等工业领域的深度融合应用。

工业智能体正在向强专业属性/高专业适配度技术路线演进

工业本身具有强行业差异与强流程约束,无论制造还是能源行业,每个环节的业务语义、数据形态与约束条件都不同,难以依赖消费级通用智能体“一招通用”。因此,针对工业生产中的设计研发、仿真测试、工艺改进、质量检查、设备运维、能耗管理等不同细分环节,专门适配的工业智能体正在快速增多,并呈现出“更强专业、更深嵌入、更可控可管”的演进趋势。

全球市场

全球各区域工业企业需求多元,中国工业 AI 出海瞄准差异化缺口

根据 IDC 的预测,到 2028 年,全球工业企业 AI 支出规模将接近 2.2 万亿人民币,年复合增长率达到 63%。与中国市场对比可以看出,中国市场的 900 亿人民币工业 AI 支出占比仍有限,海外市场在需求体量、行业多样性与付费能力上,存在更大的市场空间。

同时,IDC 观察到,全球各区域工业 AI 需求呈现差异化:

  • 在欧洲、北美等发达市场,工业企业具备更成熟的数字化与工业软件体系,更偏好体系化、高端定制与长期服务续订,但整体成本高、交付周期长。中国工业 AI 厂商可从工业视觉、能耗优化、新能源场站运维等细分场景切入,以“轻量部署 + 快速见效 + 性价比”形成差异化补位;
  • 在东南亚等新兴市场,工业 AI 落地意愿强但适配性方案与本地化交付供给不足。中国厂商可输出成熟的场景化方案与一体化服务,重点强化本地生态伙伴、交付标准化与运维体系建设,以提升可复制性与持续收入能力。

IDC 也建议,出海不应仅理解为“卖产品/做项目”,更需要同步构建三层能力:合规与数据治理能力、本地交付与合作伙伴体系、以及行业场景的可复用产品化封装。

针对全球制造业、能源行业、供应链三大主题,IDC 全球工业研究在今年已启动一系列与工业智能化相关的研究议题,助力中国工业 AI 厂商进入国际工业企业视野,强化品牌可信度与市场触达效率。

IDC 2026年中国及全球工业研究计划:

更多推荐:

在全球工业 AI 政策护航、需求升级、技术迭代与出海进阶的发展背景下,IDC 同步启动工业 AI 领航者奖项征集,围绕行业先锋、出海先锋、创新先锋等多个维度展开评选,旨在发掘具有可复制价值的行业实践,推动工业智能化从“示范”走向“规模化”,并助力“中国方案”在全球工业智能价值分工中占据更重要的位置。

如需进一步了解与研究相关内容或咨询 IDC其他相关研究,请点击此处与我们联系。

AI 时代的一个被低估事实算力不是瓶颈基础架构才是

在过去一年里,企业对 AI 的讨论几乎全部围绕模型、算力和应用展开。但 IDC 指出,一个正在被反复验证的现实是:真正限制 AI 规模化落地的,并不是模型能力,而是数字化基础架构的成熟度。

当 AI 从“试点探索”走向“生产级运行”,企业的操作系统、数据中心、网络、存储、边缘节点和运维体系,开始承载前所未有的复杂度和压力。数字化基础架构,已经从后台支撑,转变为 直接影响业务速度、成本结构、韧性与可持续性的核心能力。

在《IDC FutureScape:全球数字化基础架构2026年预测——中国启示》(Doc# ,2026年1月)中,IDC 描绘了未来五年企业基础架构将经历的一次系统性重构。

十大预测:数字化基础架构正在发生哪些质变

预测 1|智能体嵌入操作系统成为标配

到2029年,65%的新操作系统版本将搭载基础设施运维 AI 智能体与 MCP 服务器,大幅提升系统利用率、安全性与能耗效率。

操作系统正从“被动平台”演进为“主动运维中枢”,IT 团队将从日常维护中解放出来,转向更高价值的架构与业务协同工作。

预测 2|人工处理逐步退出日常运维

到2030年,45%的日常 IT 运维任务将由智能体 AI 处理;若事件未在平均解决时间(MTTR)目标内完成处理,则采用通知 IT 人员的模式提供指导。

AIOps 正在改变运维范式,人类不再是第一响应者,而是“最终裁决者”。

预测 3|数字孪生优化基础设施

到2028年,40%的数据中心将通过数字孪生(覆盖 IT 设备至设施全环节)实现优化,推动数字基础设施向可持续、高成本效益、强韧性的方向发生根本性转变。

数据中心运维从“事后响应”走向“事前模拟与预测”。

预测 4|异构计算的应用

到2030年,75%的数据中心将在 CPU、GPU、QPU、NPU、LPU、APU 和 DPU 的混合架构上运行工作负载,从而在特定应用场景中实现显著更快、更节能的处理能力。

未来的数据中心,不再是“单一算力池”,而是高度专业化的计算调度系统。

预测 5|液冷标准形成

到2030年,65%的新液冷部署项目将集成开放式行业标准,实现平台兼容性,并将部署、维护、改造及扩容成本降低三分之一。

液冷从“高端选项”走向“规模化基础设施能力”。

预测 6AI 加速容器化转型

到2028年,75%的新 AI 工作负载将实现容器化,从而显著提升模型与工作负载更新的速度、一致性与安全性。

容器成为 AI 推理时代的“默认交付形态”。

预测 7|数据管道现代化

到2028年,65%的中国500强企业将实现数据存储基础设施的现代化,并优化数据流程,以便在可优化 GPU 集群的存储系统上,向 AI 模型提供高质量、经过整理的数据。

没有高质量数据管道,再多算力也无法转化为业务价值。

预测 8|推理向边缘侧迁移

到2027年,随着 AI 的重心从训练转向推理,80%的企业将部署分布式边缘基础设施,以提升 AI 应用的延迟表现与响应速度。

AI 正在从“云中心”走向“业务现场”。

预测 9|网络互联驱动基础设施发展

到2027年,75%的企业将部署面向互联的网络,以支持先进 AI 推理与分布式应用,提升安全性、敏捷性与风险管控能力。

网络从“连接工具”升级为“算力与数据流动的关键底座”。

预测 10|私有数字基础设施的复兴

到2026年,60%的企业将主动对私有 IT 基础设施进行再投资,以提升混合云一致性,优化数据隐私、业务韧性、性能与成本。

私有基础设施并未消失,而是在 AI 时代被重新定义。

这些预测共同说明了什么?

IDC FutureScape 2026 反复强调:AI 的竞争,最终会回到基础架构。

模型可以快速迭代,但基础架构一旦落后,企业的 AI 战略将很难持续。真正的领先者,将是在自动化、异构计算、数据流动和治理能力上,提前完成布局的组织。

分析师观点

IDC 中国研究副总裁周震刚认为,中国企业正从“云优先”迈向“AI 优先”的新阶段。FutureScape 2026 显示,数字化基础架构正在从成本中心转变为战略资产——它直接决定 AI 能否规模化落地、业务是否具备韧性,以及企业能否在不确定环境中持续增长。忽视基础架构现代化的企业,将在 AI 投资回报率、系统稳定性和长期成本控制上承受更大压力。

一个面向管理层的综合建议

IDC 并不建议企业孤立地升级某一层基础设施。更重要的是,以“AI 可持续运行”为目标,对操作系统、算力架构、数据管道、网络与运维体系进行系统性重构。


基础架构不是“是否够用”的问题,而是“是否能持续支撑下一代 AI 应用”的问题。

如需进一步了解与研究相关内容或咨询 IDC其他相关研究,请点击此处与我们联系。

Thomas Zhou - Vice President - IDC

Thomas Zhou is the vice president of Enterprise Research for IDC China. He leads the enterprise research team in covering market analyses, tracking of data, forecasting, and consulting for enterprise computing, storage, networking, infrastructure software, cloud, and datacenter. He is also responsible for IDC data tracking of software, services, and the public cloud services market in China. Thomas speaks frequently at IDC, industry, and user events and is always quoted in leading business and technology publications. Thomas joined IDC in 2006. He provides in-depth market analysis, research, and consulting on all aspects of the enterprise infrastructure to IT vendors and investors. During his tenure at IDC China, Thomas has led IDC's primary research focused on emerging trends in enterprise systems and datacenters. This research continues to make IDC a thought leader in enterprise infrastructure‒powered digital transformation. Thomas's recent topics covered software-defined infrastructure, hyperconvergence, virtualization, and cloud computing infrastructure. Prior to joining IDC, Thomas worked for 10 years as a senior project manager and business consultant for several leading IT companies in China. Thomas holds a master's degree in Computer Engineering from the University of Science and Technology of China.

过去一年,生成式AI迅速从“前沿技术”演变为企业讨论中的常规议题。从董事会到业务一线,关注点已经不再是“要不要用AI”,而是企业在不同发展阶段,应该如何选择落地路径、如何判断投入节奏,以及如何尽量降低不必要的试错成本。

从市场实践来看,企业的AI探索并不存在统一范式:有的企业从具体应用场景切入,有的优先推动流程自动化,也有企业选择先夯实数据和平台基础。这些选择背后,往往与行业属性、组织能力、数字化成熟度和管理目标密切相关,并不存在绝对正确的先后顺序。

在这一过程中,企业级应用、企业级服务以及数据库与数据管理,往往以不同形式、不同权重出现在企业的AI实践中。IDC开展相关研究,并非试图将这些因素“硬性绑定”为成功前提,而是希望更真实地反映市场的复杂性,帮助企业理解不同路径下可能面临的机会与约束。

AI功能AI做事:企业级应用的重构正在发生

AI Agent正在改变企业应用的基本形态

在很多企业中,生成式AI最初的落地方式是“功能叠加”:写文案、生成报表、自动摘要。这类能力提升了效率,但并没有改变应用的本质。

IDC的研究发现,真正具有颠覆意义的变化来自AI Agent(智能体)的引入。企业级应用正在经历从“被动工具”到“主动参与业务执行”的转变:

  • 应用不再只是被人操作,而是能够理解目标、拆解任务并自动执行
  • 用户界面逐渐从复杂菜单,转向自然语言和流程驱动
  • 应用之间开始通过Agent进行协同,而非人工串联

IDC将这一变化总结为企业级应用的“Agentic演进路径”,并指出未来几年内,Agent将从辅助角色逐步走向主导角色。

哪些业务场景最先受益?

从企业实际落地情况来看,生成式AI和智能体的应用并未集中在单一部门,而是优先出现在高频交互、高度标准化或知识密集型的业务与技术场景中,包括:

  • 客户服务与智能联络中心:AI被广泛用于自动应答、坐席辅助、工单分流与服务质量监控,在不完全替代人工的前提下,提高响应效率和服务一致性。
  • 办公自动化与知识管理:会议纪要、文档整理、企业知识问答等场景逐步由AI承担基础工作,降低员工获取信息和跨部门协作的成本。
  • 内容生成与市场营销:从内容和素材生成,延伸至客户洞察、活动优化和线索管理,营销决策开始更多依赖数据与模型驱动。
  • 职能流程自动化:在财务、供应链、HR、采购、法务等职能领域,AI被用于规则明确、重复性高的流程自动化、合规检查和风险识别。
  • 研发与IT运维:代码生成、测试、故障定位和运维自动化成为AI落地的重要方向,直接影响研发效率、系统稳定性和运维成本。

IDC之所以持续追踪这些细分场景,是因为企业在做AI投资决策时,往往需要回答一个现实问题:哪些应用场景已经具备规模化条件,哪些仍处在早期探索阶段。这类研究的价值,在于帮助企业避免“平均用力”,而是将有限资源投入到最有可能产生业务回报的方向。

没有服务能力,AI很难真正跑起来

一个在客户中反复出现的共识是:AI Agent的成败,不仅仅是模型本身,很大程度还取决于项目实施过程中对于数据治理,安全合规,流程重塑,平台整合等环节的设计和把控,以及后期的运营和维护

企业在推进过程中普遍会遇到:

  • 业务流程是否适合被Agent接管
  • 多个Agent如何协同、治理和监控
  • 如何持续评估ROI,而不是一次性交付

这也是为什么企业级服务在AI时代的重要性被显著放大。IDC在软件与服务研究中,将AI咨询、Agent设计与开发、系统集成、运维与持续优化视为一个完整闭环,而非单一项目 。

对企业而言,这类研究的价值并不仅在于“推荐某一家供应商”,而在于帮助管理层理解能力建设的先后顺序:哪些能力需要长期内生,哪些可以借助生态伙伴补齐,从而避免“试点成功、规模失败”的常见陷阱。

AI走得多远,取决于数据和数据库走得多稳

数据库正在从后台系统走向“AI基础设施

如果说企业级应用决定了AI“做什么”,那么数据库和数据管理决定的则是AI“能不能做、做得好不好”。

在生成式AI快速演进的同时,中国数据库市场也正在经历深刻变化:一方面,AI对数据实时性、多模态和向量能力提出更高要求;另一方面,国产化进程推动本土数据库厂商在功能和市场份额上持续提升 。

AI for Data:让数据库更智能

IDC在数据库研究中发现,AI正在反向赋能数据库自身:

  • 自动调优与容量预测
  • 基于AI的异常检测和安全防护
  • 更智能的运维和资源调度

这些能力直接降低了数据库复杂度,使企业能够用更少的人力支撑更复杂的业务和AI负载。

Data for AI:让AI真正可用

更关键的是,数据库正在成为AI应用的“能力上限”:

  • 向量引擎和多模数据管理决定了Agent是否具备“长期记忆”和上下文理解能力
  • 数据治理和权限体系决定了AI是否可信、可控
  • 实时数据能力决定了AI是否能够参与业务决策,而不仅是事后分析

IDC在数据库管理系统市场的研究中强调:未来企业AI竞争的本质,是数据架构和数据能力的竞争

为什么IDC要持续开展这些研究?

IDC之所以持续在企业级应用、企业级服务以及数据库与数据管理领域投入研究,一方面,这些领域是企业AI价值真正发生的位置:应用决定AI是否进入业务流程,服务决定AI能否规模化运行,数据库管理和数据治理决定AI是否长期可持续。任何一环缺失,AI都很难从“亮点项目”走向“稳定能力”。

从企业决策者视角看,这些研究真正解决了什么问题?

通过持续的市场数据、趋势判断和实践洞察,IDC希望帮助客户:

  • 看清AI技术和应用的成熟节奏
  • 了解行业发展的最新趋势和最佳案例
  • 对于热点领域和技术的评估和参考实践

在生成式AI引领的新一轮技术升级中,真正具备长期优势的企业,往往不是最早“尝鲜”的企业,而是那些能够构建高质量数据资产、完善AI治理体系、深度重塑业务流程并持续融合行业Know-how,实现数据驱动的敏捷创新与可持续落地的企业这正是IDC持续开展相关研究的出发点,也是客户能够从这些研究中获得的长期价值。

IDC 2026年软件和服务领域研究计划:

如需进一步了解与研究相关内容或咨询 IDC其他相关研究,请点击此处与我们联系。

Lizzie Li - Associate Research Director - IDC

Lizzie Li is Associate Research Director of IDC China's Enterprise System and Software Research that focuses on research and analysis of the China Datacenter, Cloud Computing, and IT infrastructure markets. She also provides intelligence and consulting services in customized projects for local and multinational corporation (MNCs) IT vendors. Lizzie’s research domain covers Datacenters, Cloud Computing, Virtualization, and her duties include providing consulting proposals to IT vendors on sales, marketing, and research fields. Lizzie Li has seven years of experience in the IT industry, including Internet datacenters, cloud computing services, mobile telecommunication systems, and enterprise markets. Prior to joining IDC, Lizzie Li worked for 21vianet, Nokia Siemens Networks, and Huawei, and was responsible for sales analysis, project management, and technical support. Lizzie graduated from Huazhong University of Science and Technology with a Master’s degree in Pattern Recognition and Intelligent Systems.

过去二十多年,中国政府信息化从“信息化—电子政务—数字政府”持续演进,有效支撑了治理能力现代化。当前,在大模型等 AI 技术突破与数据要素制度逐步完善的背景下,数智政府正在成为新阶段与新目标。IDC 认为,数智政府并非在数字政府之上简单“叠加AI”,而是围绕数据驱动(数据要素)、智能决策(政务大模型)与人机协同(智能体),对治理链条进行系统重构。

IDC认为,每一次政府数字化的跃迁,都源于技术成熟、治理需求与制度环境三者的同频变化。

一是技术条件发生质变。大模型带来“内容生成与推理”叠加“行业知识整合”的能力范式,结合数据、云与智能算力的规模化供给,以及更自然的人机交互方式,使政务系统从“流程线上化”走向“理解政策与业务、辅助决策与执行”的新阶段。

二是治理需求结构性变化。财政约束趋紧要求降本增效与集约建设;公共服务需求持续增长且更个性化;城市治理与风险管理复杂度上升,仅依赖增人增系统的传统路径难以对冲复杂度的上升,必须通过数智化手段重构治理方式与服务范式。

三是制度环境为规模化建设“铺路”。《国家数据基础设施建设指引》、《可信数据空间发展行动计划》与《政务领域人工智能大模型部署应用指引》等政策文件持续明确方向:数智化是数字政府建设的主攻方向,且需在安全、合规、可控前提下推进。这为数智政府由试点探索走向规模化落地奠定了制度基础。

未来五年数智政府市场的机遇与重构

根据 IDC《中国数字政府市场预测,2025—2030》,未来五年中国数字政府市场将呈现“总量稳增、结构重构”的特征。到 2030 年,市场规模预计达到 1857 亿元人民币,2025—2030 年 CAGR 为 4.1%。数字政府建设模式也由一次性项目投资转向政企合作,注重长期运营、服务化和效果导向。主要体现在三层:

基础设施:从云到智。基础设施仍是最大支出项,但增长重心正向智算中心与异构算力迁移。当前政府行业大模型应用及基础架构渗透率仅 1.5%,智能算力将成为数智政府的“隐性生产力”,具备显著成长空间。

平台层:成为数智中枢。以政务大模型平台、智能体平台、数据中台为核心,形成可持续复用的智能服务能力。IDC 预测平台层将保持接近 9% 的较高复合增速,是长期战略价值最突出的细分领域。

应用层:从项目建设走向能力运营。政务服务、政务办公、社会治理等领域的应用形态由一体化建设转向持续运营与生态化建设。对供应商而言,竞争焦点将从“交付规模”转向“可复用能力+运营成效”。

IDC 数智政府百强榜:行业领先实践

基于市场规模、技术成熟度、实践效果与可复制性等多维评估,IDC 发布了 “2025年中国数智政府百强榜 ”,提炼可复制的领先实践与产业共识,集中体现五大趋势:

第一,政务服务从“数字窗口”升级为“智能体入口”。AI助手、数字人不再只是展示,而是承担咨询、引导、办理、评价等多角色协同,成为统一入口的雏形。典型实践包括“贵人智办”AI助手、爱山东济南分厅服务AI能力提升、扬州市智慧门户”三好”小助手项目等项目。

第二,政务办公进入“AI初审 + 人工决策”的常态。公文处理、审批、督办等场景,正在从“全人工”走向“机器先筛、人工把关”,效率提升来自流程与决策链条的重构。典型案例实践包括烟台市智慧公文大模型项目、智慧政务协同办公平台AI应用项目等。

第三,数据要素从“政府内部资产”走向“治理与产业共同资源”。公共数据授权运营、城市数据空间等实践,推动数据在安全可控前提下释放外部价值,形成“数据—场景—产业”的闭环。典型实践包括数字福建释放公共数据赋能产业发展,治理数字优化惠及民生福祉、全球数源中心数据流通利用基础设施先行先试项目、上海数据集团城市数据空间新范式等项目。

第四,数智化开始直接提升城市体验与民生幸福感。养老、社区、园区、新城治理等场景,越来越强调“体验指标”和“结果导向”,这将倒逼产品从功能堆砌转向可衡量的成效。典型实践包括”盛情康养”沈阳基本养老服务综合平台、福田率先落地政务大模型发布首个城市智能体、广东某市管委会以AI引领构建智慧新城等项目。

第五,基础设施走向高度集约与智能调度。多云纳管、一云多芯、统一算力平台正在成为“标配”,这对厂商的体系化能力提出更高要求:能不能管得住、调得动、算得稳、控得牢。典型实践包括湖南省级数字政府、甘肃数字政府、长三角枢纽芜湖集群算力公共服务平台、中原智算中心等项目。

数智政府是“十五五”治理现代化的新起点

IDC 认为,数智政府将成为未来一个五年乃至更长周期内中国政府数字化建设的主线,深刻影响公共服务供给方式、城市运行治理模式、数据要素价值释放路径以及数字技术的社会价值实现。在“十五五”全面展开之际,数智政府的规模化建设成效,将成为衡量治理现代化水平的重要维度,也将重塑政府数字化市场的竞争格局与产业机会。

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国务院新闻办公室于2026年1月19日上午10时举行了新闻发布会,国家统计局局长康义,国家统计局新闻发言人、总经济师、国民经济综合统计司司长付凌晖介绍了2025年国民经济运行情况。本文基于此次会议发布的数据给出分析。

核心观点

2025 年中国经济运行并非一次周期性下行,而是一次关键性的结构性切换。尽管 2024 年与 2025 年的 GDP 增速均保持在 5.0% 左右,但驱动增长的内在动能已发生显著变化:固定资产投资由正转负,制造业投资大幅放缓,通缩压力仍然存在;与此同时,信息服务业投资快速增长,高技术出口表现突出,消费延续结构性修复,人口与劳动力约束明显加剧。

IDC 认为,2025 年实际上完成了中国经济从投资拉动型增长结构再平衡、效率驱动型增长的关键过渡。这一变化将深刻影响 2026 年的市场环境,使其呈现出总体温和增长、结构性高度分化的特征。

对 ICT 市场而言,这意味着一个明确转向:从以资本开支和规模扩张为核心,转向以可量化 ROI 为导向、以软件和 AI 为核心的价值创造模式。能够顺应这一结构性转变的厂商与企业将持续跑赢市场,而仍停留在传统扩张逻辑中的参与者将面临更大压力。

一、宏观背景:增速保持稳定,结构分化加剧

2024 年与 2025 年,中国经济均实现了约 5.0% 的 GDP 增长目标,但增长质量与结构已明显不同。

2024 年的经济增长在四季度明显回升,反映出政策支持、基础设施投资以及制造业阶段性复苏的拉动效应;而 2025 年则呈现出“前高后低”的增长节奏,季度 GDP 增速逐步回落,反映出企业投资信心与项目预期趋于谨慎,尤其是在大型资本性项目方面。

从产业结构看,2025 年第三产业占比继续提升,第二产业贡献趋于稳定,表明中国经济正进一步迈向以服务业和知识密集型产业为主导的发展阶段。这一趋势对技术需求结构具有深远影响。

二、2024–2025 年的六大关键结构性变化

IDC 从宏观与产业数据中识别出六项对未来市场具有决定性影响的变化。

1、固定资产投资由正增长转为整体收缩2024 年固定资产投资同比增长 3.2%,而 2025 年则下降 3.8%,出现明确拐点。基础设施投资回落,制造业投资几乎停滞,房地产投资进一步下探。这既是周期性谨慎的结果,也是结构性调整的体现:地方财政约束趋紧,企业资本纪律增强,传统投资项目的回报率持续下降。

市场含义:以大规模资本开支为主要驱动的市场空间正在系统性收缩。依赖重资产、重工程、重建设的行业与技术领域,在 2026 年仍将面临持续压力。

2、制造业投资急剧放缓,但并未系统性下滑。制造业投资增速从 2024 年的 9.2% 大幅回落至 2025 年的 0.6%,反映出企业在需求不确定和利润承压背景下,对扩张计划进行重新评估。但与此同时,高技术制造业和装备制造业的工业增加值仍保持相对较快增长,显示制造业投资并非全面退潮,而是向高技术、高附加值领域高度集中。

市场含义:2026 年制造业相关 ICT 需求将呈现客户数量减少、单客户深度提升的特征,重点集中于具有明确效率与质量目标的先进制造企业。

3、信息服务业投资成为逆周期结构性亮点。与整体投资趋势形成鲜明对比的是,2025 年信息服务业投资同比增长超过 28%。这表明在资本整体趋紧的背景下,政府与企业仍在持续加大对数字基础能力的投入。这类投资并非追求规模扩张,而是围绕效率提升、韧性增强与长期竞争力构建展开。

市场含义:云服务、数据平台、AI 能力、软件基础设施将成为 2026 年最具确定性的增长板块之一。

4、消费温和修复,但升级特征显著。社会消费品零售总额增速从 2024 年的 3.5% 小幅提升至 2025 年的 3.7%。尽管整体恢复节奏仍然温和,但消费结构发生明显变化。通讯器材、文化办公用品、体育娱乐用品及智能家电等品类实现两位数增长,表明消费者并非简单扩大支出,而是向数字化、智能化和体验型消费升级。

市场含义:2026 年与消费相关的 ICT 机会将更多集中在零售数字化、全渠道运营、智能供应链以及 AI 驱动的客户运营领域。

5、出口保持韧性,增长质量持续改善。2025 年出口增速虽略低于 2024 年,但仍保持较高水平,高技术产品出口同比增长超过 13%。对“一带一路”国家出口以及民营企业出口占比持续提升。这表明中国外向型竞争力正在由规模优势向技术与价值优势转变。

市场含义:2026 年,企业“走出去”将继续成为 ICT 市场的重要增长来源,带动跨境云架构、数据合规、全球供应链系统与安全能力的需求。

6、人口下降明显加速,劳动力约束显性化。2025 年人口减少规模明显扩大,而城镇化率持续提升。劳动力供给约束已从长期趋势转变为现实挑战。这一变化强化了企业对自动化、数字化与智能决策的迫切需求。

市场含义:到 2026 年,“用技术替代人力、用智能提升效率”将从选择项转变为企业经营的核心议题。

三、对 2026 年 ICT 市场整体影响的基本判断

IDC 预计,2026 年中国 ICT 市场将进入一个总量温和增长、结构高度分化的新阶段。

扩张型建设走向价值型优化市场需求的核心将从“新系统建设”转向对既有数字资产的深度利用与价值释放。项目审批将更加关注成本节约、效率提升和回报周期。

从硬件导向转向软件与 AI 主导。硬件密集型项目面临更严格的预算约束,而软件、云服务、数据与 AI 应用将在企业 ICT 支出中占据更高比重。

从一次性交付转向持续价值交付。订阅制、按量付费和结果导向型(Outcome-based)模式将更受欢迎。企业将优先选择能够持续创造业务价值的技术伙伴。

四、战略建议

IDC 认为,2026 年不是高速反弹之年,而是结构清晰之年。中国 ICT 市场的赢家,将是那些真正理解并顺应新经济逻辑的参与者:效率优先于规模,智能优先于扩张,韧性优先于速度。这一转型也将为 2026 年之后更具可持续性的创新增长周期奠定基础。

ICT 厂商,从“技术能力叙事”转向“业务结果叙事”,突出可量化 ROI;加大对行业 AI、数据与场景化解决方案的投入;强化对企业出海和全球化运营的支持能力。

对行业用户,将 ICT 投资评估标准从功能完整性转向业务影响与效率改善;优先布局 AI 与数据平台,提升自动化与决策能力;将数字化转型与组织、人才和流程重构协同推进。

IDC相关研究

• 中国智能经济演进趋势与数智化商机5大洞察, Jan 2026, Doc# CHC53833826

• IDC FutureScape: 全球AI驱动的业务战略2026年预测:中国启示,  Dec 2025, Doc # CHC53834026

• IDC FutureScape: 全球CEO议程2026年预测(中文版),Jan 2026, Doc# CHC53833926

• IDC FutureScape: 2025年全球I行业预测(中文版),Jan 2026,Doc# CHC53858725

• 2026中国两会政府工作报告对AI大转型和ICT市场的影响, 即将发布

如需进一步了解与研究相关内容或咨询 IDC其他相关研究,请点击此处与我们联系。

Lianfeng Wu - Vice President - IDC

Mr. Wu Lianfeng, the Vice President and Chief Research Analyst of IDC China, has more than 25 years of experience working in the IT industry. Since joining IDC in 2000, Mr. Wu has extensive research and consulting experience in the areas of overall ICT market, vertical industry market, Internet and new media, smart connected devices, software and service outsourcing, digital transformation, digital economy, and emerging technology, among others. In recent years, Mr. Wu has been leading IDC China's digital transformation research and event. In 2017, he started to build the CXO circle excellence club, the vision of which is to help industry CXOs transform from good to excellent. Mr. Wu holds monthly offline activities and publishes daily articles that focus on digital transformation: business trends, technology trends, industry trends, organizations, and people role trends. Mr. Wu also worked with IDC global analysts to lead China's annual ICT direction forum and Top 10 Predictions (IDC FutureScapes) forum, providing industry forecasts of the latest development directions and business opportunities. At the same time, Mr. Wu works with a team of analysts to explore and discover new research topics and build thought leadership in the ICT market. Recent research areas he has delved in include Future of Work (FoW), Future Industry, Smart City, and DevOps, among others. Mr. Wu is also a guest speaker in all kinds of top ICT summit, CIO summit, and industry digital transformation summit. He gives nearly 50 speeches every year, which greatly promotes the application and development of digital technology in the industry. Prior to joining IDC, Mr. Wu worked with China Academe Launch-vehicle Technology (CALT), China Hewlett-Packard Co. Ltd., Jardine Pacific (JOS) Information Technology Co. Ltd., accumulating 9 years of working experience in the field of IT and telecommunications. Mr. Wu holds an MBA from the University of International Business and Economics in Beijing, a Master's degree in Engineering from China Academy of Launch Vehicle Technology, and a bachelor's degree in Engineering from the University of Electronic Science and Technology.

当前,具身智能机器人已成为物理 AI 的核心落地形态,推动机器人产业由传统自动化系统向具备感知、学习、决策与行动闭环的智能体演进。产业价值重心不再仅依赖单一算法或硬件性能,而是依托模型、数据、算力、控制与本体的系统级协同能力。整体来看,具身智能机器人技术栈不再沿线性路径演进,而是逐步形成“以模型为中心、软件定义体系、硬件随之重构”的全栈式变革路径。

基于对全球机器人与具身智能产业的持续跟踪,IDC 系统总结了当前具身智能机器人的十大关键技术趋势。这些趋势构成了机器人产业能力跃迁的技术底座,也为厂商、开发者及行业用户把握未来三年的技术方向与竞争格局提供重要参考。

模型为中心——机器人认知与能力泛化的核心驱动

世界模型与具身智能大模型协同驱动认知升级

世界模型构建对环境、自身状态及物理规律的内部表征,为机器人提供预测、规划与连续决策能力,使其从被动响应向主动规划演进。结合仿真与 Sim-to-Real 训练,世界模型降低现实训练风险与成本,是复杂任务工程化与通用人形机器人落地的重要支撑。

虚实融合数据体系成为持续进化核心基础

具身智能机器人对跨场景泛化能力的需求,使训练数据从单一实采向虚实融合体系演进。仿真合成数据成为规模化训练主体,视频学习正在成为潜在扩展路径,遥操作实采数据作为高质量补充,通过闭环训练、仿真微调与在线反馈,支撑机器人在低成本条件下实现能力扩展与持续进化。

快慢系统与技能库协同,提高复杂任务工程化效率
行业普遍采用“快思考 + 慢思考”双系统架构,高层慢系统负责任务规划与世界理解,底层快系统保障高频控制与物理交互实时性。结合模块化技能库与场景专项训练,机器人可实现多任务、多步骤操作的能力复用与稳定落地。

情感理解与个性化智能基座逐步实用化

机器人在家庭、服务和医疗场景中对情感理解、个性化交互和自主决策的需求显著提升。通过情感感知、个性化用户建模、认知决策、情感表达与持续学习,机器人实现端到端闭环的感知、理解与行为生成。大模型和长期学习支撑其从单任务执行向多场景、多任务能力演进,提高陪伴、教育及健康监测价值。

软件定义体系——机器人工程化与系统化的关键支撑

具身智能机器人开发平台走向集成化与开源生态

随着技术栈复杂度提升,具身智能机器人开发平台正形成“软硬件 + 数据 + 模型 + 工具链”的一体化生态。集成化平台通过统一接口、标准化数据与开源生态,降低开发门槛,加速算法、模型与应用在不同机器人本体和场景中的迁移与复用。

机器人操作系统向高可靠分布式架构演进,支撑大规模与高并发应用

随着系统复杂性提升,传统操作系统难以满足多自由度、多传感器、多执行器的实时协作需求。硬实时分布式操作系统通过微内核、模块化服务、任务隔离与分布式调度,保障多节点协同的确定性与可靠性,为高自由度控制、复杂场景适应及自主决策提供底层支撑,加速通用机器人系统开发与产业落地。

IT–OT 融合通信体系成为机器人实时控制关键底座

具身智能机器人对低时延、高确定性通信需求持续增长,推动 IT 与 OT 通信体系加速融合。内部 OT 网络通过 EtherCAT/CAN-FD 与时间敏感网络(TSN)融合,实现高确定性控制;外部 IT 网络借助 Wi‑Fi 7、5G/6G 提供低时延、高可靠通信。分布式控制架构下,统一协议与时间同步保障多机器人协作、云边同步及高自由度运动控制,为大规模部署和系统级协同提供关键支撑。

硬件随之重构——高复杂任务的机器人物理体系升级

端侧算力持续跃升,环境复杂度与系统规模成为核心驱动

随着机器人向具身智能化发展,多模态感知、语义理解、运动控制与实时规划的计算需求大幅增加。算力需求与信息处理复杂度、电机数量及运动控制耦合度高度相关,从家用机器人的十T级跃升至商用服务、四足及人形机器人的百T至千T级,环境复杂度与系统规模成为算力演进的主要驱动因素。

多模态感知全面升级,构建内外协同统一感知体系

机器人感知能力由单一视觉向3D视觉、触觉、力觉、惯性及内部状态感知等多模态融合发展,实现对环境与自身状态的统一理解。多源感知提升空间认知、操作精度与动态稳定性,为复杂非结构化环境下的自主决策与安全执行提供基础支撑。

安全性体系从局部防护走向系统级冗余,实现全链路稳健运行

随着应用场景拓展,安全性和稳定性成为具身智能机器人大规模落地的核心要求。行业正推动从单点防护向系统化设计转型,通过感知冗余、约束控制、运行时监控和长尾风险验证构建可信赖系统,确保机器人在动态复杂环境中可安全降级、即时干预并长期稳定运行。

IDC中国研究经理李君兰表示,当前,具身智能机器人正处于技术高度复杂且潜力巨大的交汇点:一方面,大模型、世界模型、多模态感知等 AI 能力持续突破;另一方面,机器人在真实环境中面临的物理约束、实时控制及安全可靠性远比数字世界复杂。IDC 认为,产业正沿着“模型为中心、软件定义体系、硬件随之重构”的路径演进,标志着机器人产业迈入全栈竞合的新阶段。

IDC 建议产业参与者采取六大行动方向:

  • 提前布局世界模型与具身智能大模型的协同能力,
  • 构建虚实融合的数据生产与训练体系,
  • 升级端侧算力与分布式操作系统架构,
  • 应从单一产品思维转向平台与生态思维,
  • 将安全能力内生为系统级基础模块,
  • 结合自身定位选择差异化的技术或应用突破路径。

报告信息

本文核心观点来源于 IDC 报告《具身智能机器人技术趋势与品牌推荐,2025》(Doc# CHC53183725,2025年12月),报告不仅系统梳理了具身智能机器人十大技术趋势,也对奥比中光、地瓜机器人、NVIDIA、擎朗智能、微亿智造、银河通用、智元机器人等典型厂商进行了深入分析与品牌推荐,为产业参与者提供战略参考与厂商选择指南。欲了解更多详情或进行深度交流,请联系IDC中国机器人与具身智能领域研究经理李君兰(邮箱:lyli@idc.com)

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Lily Li - Research Manager - IDC

Lily Li is a research manager for emerging technologies in IDC China. She is responsible for conducting research and analysis for Internet of Things (IoT) in the same country. She is also involved in global and regional consulting as well as business development in related markets. Prior to joining IDC, Lily has had in-depth working experiences in the urban digital transformation (DX) field and a wide range exposure to Smart City developments. She has a deep understanding of the status quo and is knowledgeable about the market's future trends. Lily holds a master's degree from the Graduate University of Chinese Academy of Sciences (GUCAS).