introductory language] In 2026, the global AI intelligence market is expected to double to 44.9 billion yuan. China's AI intelligence market is expected to double to 44.9 billion yuan in 2026, and the global Agentic AI market is expected to reach 1390-199 billion US dollars in 2034. Gartner predicts that by the end of 2026, 40% of enterprise applications will be embedded with AI agents. In this wave of AI Agent, how can enterprises find the direction that can really generate value? 1. AI Agent market outbreak: three landmark events (I) Gartner Milestone Forecast Gartner predicts that by the end of 2026, 40% of enterprise applications will be embedded with AI agents, compared with less than 5% last year, which means a 10-fold increase within a year. This prediction marks the first year of AI Agent's formal entry into large-scale applications.

AI Agent Penetration Growth Forecast:

time	AI Agent Penetration	growth Multiples
2025	less than 5%	-
end of 2026	40%	10 times
2027	60%	sustained growth

(II) Foxconn's Intelligent Manufacturing Practice The MoMClaw multi-Agent manufacturing system released by Foxconn is a benchmark case for AI Agent applications in the manufacturing industry. The system realizes the intelligent upgrade of the whole manufacturing process through the cooperation of multiple AI Agents.

Foxconn MoMClaw system application effect:

application Scenarios	before improvement	after improvement	increase range
root cause analysis	hours	A few minutes	80% increase in efficiency
machine failure rate	reference value	decreased by 10%	predictive maintenance
quality inspection efficiency	sampling inspection is the main	full inspection AI recognition	5 times

open Source Breakthrough of (III) Wisdom Spectrum The Smart Spectrum open source GLM-5.2 model tops the global open source model list with 744 billion parameters, supporting millions of contexts. This breakthrough means that enterprises can develop customized AI agents on the basis of open source, greatly reducing the threshold for AI applications. Challenges and Opportunities of 2. AI Agent Market The driving force of the (I) market outbreak

There are three main driving forces behind the outbreak of the AI Agent market:

driving force	specific performance	influence degree
mature technology	large model capacity improvement	high
cost reduction	lower threshold for AI applications	high
demand Release	the explosion of enterprise digital demand	high

challenges in the (II) market

Key challenges facing the AI Agent market:

type of Challenge	specific performance	influence degree
technical bottleneck	general Big Model Lack of Industry Knowledge	high
difficulty landing	there is a gap between pilot and scale.	High
talent shortage	AI Agent talent in short supply	medium
return on Investment	most projects have difficulty quantifying value	high

observations (III) Suzhou Cattle Orange Network In the process of serving the GEO layout of enterprises, Suzhou Niucheng Network found that the concept of AI Agent is rapidly penetrating into the marketing field: Intelligent customer service agent: intelligent customer service based on large models is replacing traditional FAQ systems. Content Generation Agent: AIGC technology is reshaping the content production process. Delivery Optimization Agent: AI-driven ad delivery systems are able to optimize strategies in real time. Application Scenarios of 3. AI Agent in Various Industries (I) manufacturing

Application scenarios of AI Agent in manufacturing industry:

application Scenarios	AI Agent Capabilities	value enhancement
production scheduling	intelligent scheduling and optimal decision-making	15% increase in efficiency
quality Inspection	visual identification, defect detection	accuracy of 97%
equipment maintenance	predictive maintenance, fault warning	failure rate decreased by 10%
supply Chain	intelligent procurement, inventory optimization	cost reduction of 8%

(II) marketing field GEO Content Generation Agent: automatically produce high-quality GEO content based on industry knowledge and AI capabilities. Smart Delivery Agent: monitor the delivery effect in real time and automatically optimize the delivery strategy. User Operations Agent: intelligent user portrait, personalized recommendation, accurate touch. (III) Enterprise Services Intelligent customer service agent:7x 24 hours online, intelligent answer customer questions. Data Analysis Agent: automatically analyze business data and provide decision support. Process Automation Agent: automate repetitive work to improve efficiency. How 4. Enterprises Grasp the Opportunity of AI Agent (I) choose the right landing scene

AI Agent Scenario Selection Evaluation Matrix:

assessment Dimensions	high Value Scenarios	low Value Scenarios
frequency	high frequency repeat	low frequency disposable
rules	have clear rules	highly fuzzy
data	data rich	lack of data
value	high commercial value	low commercial value

(II) Building AI Agent Capabilities Suzhou Niu Orange Network recommends that enterprises build AI Agent capabilities from the following aspects: The first step: scene focus select 1-2 high-value scenarios as entry points. Step 2: Data Foundation evaluate and build the data infrastructure needed to support AI Agent. Step 3: Platform Selection choose a mature and reliable AI Agent platform. Step 4: Team Building develop a team with the ability to AI Agent operations. Step 5: Continuous optimization establish a continuous optimization mechanism to continuously improve the effect of AI Agent. AI Marketing Agent Service (III) Suzhou Cattle Orange Network Suzhou Niucheng Network has introduced AI Agent technology into GEO services to provide customers with more efficient marketing services:

Suzhou Cow Orange Network AI Marketing Agent Service:

service Scenarios	AI Agent Capabilities	efficiency improvement
content Generation	intelligent Content Creation	3-5 times
data verification	automatic fact checking	10 times
effect monitoring	real-time data tracking	real Time
strategy Optimization	intelligent Policy Recommendations	significant

5. epilogue 2026 is regarded as the first year of Agent AI, and the market is expected to double to 44.9 billion yuan. Gartner predicts that 40% of enterprise applications will embed AI agents. However, the first year does not mean that all enterprises can be successful. While embracing AI agents, enterprises must remain rational, focus on high-value scenarios, build data foundations, and continue to iteratively optimize. Suzhou Niucheng Network will continue to pay attention to the development of AI Agent technology, provide enterprises with the most professional GEO marketing services, and help enterprises win competitive advantages in the era of AI Agent. Contact] Suzhou Cow Orange Network Technology Co., Ltd. Contact: Liu Tengfei Telephone: 18721502446 Website: www.zctgeo.com