Automation
AI + Automation
Bank
Insurance
Logistics
Recently, International Data Corporation (IDC) released IDC market Grace: overview of China's AI agent market, 1q26. I-Search, with its profound accumulation in the field of AI agent and automation, was selected in the authoritative report again after 2025. It continues to take the lead in core fields such as finance and operation, and has become a key manufacturer in the cutting-edge direction of APA (agent process automation).
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From 2025 to 2026:
Market moves from "noisy concept" to "deep cultivation of scene"
Compared with IDC's two-year report, we can clearly see that the AI agent market is undergoing a profound paradigm reconstruction. If the 2025 report (overview of China's AI agent application market, 1q25) for the first time delineated the macro territory of "consumer level" and "enterprise level" for the market, the 2026 report revealed the maturity and transformation of the market from "proof of concept" to "large-scale implementation" with a more refined granularity.
The classification dimension is more refined, from "generalization" to "scenario"
The classification in 2025 focuses on drawing a clear line between "consumer level" and "enterprise level", while the report in 2026 not only subdivides the enterprise level market into software development, finance HR、 Marketing, customer service, supply chain, legal and other specific business areas have introduced APA (agent process automation), which indicates that AI agent is deeply embedded in every link of the enterprise's core value chain.
More solid technology base, from "single point capability" to "ecological synergy"
The report points out that the technical route is moving from single point tools to hierarchical cooperation. The maturity of the three-tier architecture of MCP protocol, skills skill pack and cli execution layer enables agents to call various tools safely and efficiently. This just verifies the strategic foresight of i-Search's evolution from RPA to APA - enabling agents not only to "think", but also to "execute" between complex business systems in a safe and controllable manner.
The business model is more pragmatic, from "subscription led" to "multiple billing"
The maturity of the market also brings the innovation of business model. It has evolved from the subscription system to a hybrid model of "subscription+token" and "pay for results". This change requires that suppliers' products can truly create quantifiable business value for customers, and the end-to-end automation effect accumulated by i-Search in finance, manufacturing and other fields just provides the basis for paying for this value.
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From RPA to APA:
How i-Search crosses the gap of "perception decision execution"
In last year's interpretation, we emphasized that AI agent has achieved a leap from "passive script execution" to "active task closed-loop". This year, combined with the compass landing model proposed by IDC, we can more clearly explain the ability of i-Search to help enterprises land ai agents:
At the perception and understanding level: i-Search's intelligent automation platform can accurately understand unstructured e-mail, contracts and conversations, and convert them into structured data, breaking through the bottleneck of information entry.
At the layout and execution level: This is our core advantage that distinguishes us from pure model manufacturers. I-Search's agent can not only analyze and make decisions, but also dynamically schedule complex systems such as finance, supply chain and CRM by integrating RPA and API scheduling capabilities, and independently complete end-to-end business processes across systems, so as to truly "do what you say".
In the monitoring and precipitation layer: in the process of task execution, the agent automatically records the decision-making and execution path, deposits personal experience into reusable digital assets of the enterprise, and supports 7 × 24 hours of active monitoring and abnormal response to help the enterprise achieve scale elastic expansion.
This is the core of the APA (agent process automation) paradigm defined by IDC - on the basis of retaining the deterministic execution advantage of RPA, it injects the intelligent planning ability of large models, so as to significantly reduce the construction and maintenance costs of enterprise automation processes.
It has been selected into IDC China AI agent Market Overview for two consecutive years, which is a strong evidence of i-Search's agent automation technology and scene landing ability. From the leader of RPA market share to the pioneer of AI agent era, i-Search has always been committed to transforming the cutting-edge AI capabilities into the practical productivity of enterprises.
In the future, we will continue to deepen the development of intelligent automation technology, and with the complete closed loop of "perception - decision - action - feedback", help Qianxing Baiye to cross the gap from "Auxiliary Office" to "intelligent autonomy", and lead enterprises into a new era of real intelligent automation.
