The dawn of the AI era has ushered in a wave of technological innovation and iteration, fundamentally reshaping industries worldwide.

Yet, the rapid evolution of cutting-edge technologies inevitably casts a shadow over traditional ones, with the ERP sector standing as a prime example.

ERP, or Enterprise Resource Planning, is essentially an integrated software system designed to harmonize a company’s personnel, finances, and operations. Founded in 1972, SAP laid the groundwork for modern enterprise ERP systems by standardizing, coding, and systematizing corporate procurement, approval, finance, and inventory management processes.

For an extended period, ERP systems have been a cornerstone of enterprise digitalization. IDC data for 2025 reveals that the global ERP market surged to $73 billion, marking an 11.3% year-on-year increase, with over 80% of Fortune 500 companies relying on SAP products. However, the advent of AI has significantly disrupted the traditional ERP landscape. As AI technologies proliferate, traditional ERP systems are no longer indispensable for enterprises, compelling many financially constrained small and medium-sized enterprises (SMEs) to slash their procurement budgets. Gartner’s 2025 survey forecasts a 0.8% decline in Chinese enterprise IT budgets for the year, marking the first negative growth since records began in 2014. For non-urgent, significant IT investments like ERP, SMEs are exercising increasing caution in their procurement decisions.

As a domestic frontrunner in the ERP industry, Yonyou Network has borne the brunt of the AI revolution.

From a financial perspective, Yonyou Network has been incurring losses since 2023, with losses amounting to 967.2 million yuan, 2.061 billion yuan, and 1.389 billion yuan in 2023, 2024, and 2025, respectively, culminating in a staggering cumulative loss exceeding 4.4 billion yuan over three years. In 2026, the company continued to post losses, with a net loss of 722.6 million yuan in the first quarter alone.

Yonyou Network’s sustained losses are intricately linked to its substantial R&D investments. The company’s R&D expenses soared from 1.754 billion yuan in the previous year to 2.106 billion yuan in 2023 and have remained above 2 billion yuan annually thereafter.

Plagued by persistent performance pressures, Yonyou Network’s stock price has languished in the doldrums. As of the latest close, the company’s total market capitalization stands at 34.1 billion yuan. Compared to its historical peak of 53.99 yuan per share in 2020, the current stock price has plummeted by 80%, with a cumulative market capitalization shrinkage exceeding 150 billion yuan.

Whether viewed through the lens of performance data or stock price trends, Yonyou Network is currently grappling with operational challenges. As a domestic leader in the ERP industry, will it become a casualty of the AI era?

Trapped in a ‘Business Model Quagmire’

Established in 1988, Yonyou Network initially focused on financial software as its core business.

In 1998, the company ventured into the ERP market with its inaugural ERP product, U8, and later introduced the NC series, a high-end management software tailored for large conglomerates.

By 2002, Yonyou Network had ascended to the pinnacle of the domestic ERP market, boasting over 60% of China’s Fortune 500 companies as clients during its heyday. In 2010, Yonyou Network went public on the Shanghai Stock Exchange, earning the moniker of the ‘Twin Stars’ of the domestic software industry’s ERP sector alongside Kingdee International.

Despite its commanding market share, Yonyou Network has struggled to extricate itself from the ‘business model quagmire’ inherent in the ERP industry.

Relevant data underscores the ERP industry’s inherent structural contradictions: it is a ‘highly customized, long-cycle, and delivery-intensive’ business. ERP systems essentially entail digitally reconstructing a company’s internal business processes, with needs varying significantly across clients, particularly among large enterprises with extensive customization requirements. This implies that even as ERP vendors scale up their revenue, they grapple with replicating the economies of scale prevalent in manufacturing, leading to persistently high R&D costs and inefficient labor cost allocation—a phenomenon often dubbed ‘diseconomies of scale’ in the industry.

Moreover, the ERP industry faces clear growth ceilings. Leading ERP companies primarily cater to large enterprises, but the pool of large enterprise clients in China is finite.

A review of Yonyou Network’s historical revenue data reveals that the company’s growth has nearly stagnated since 2019, with particularly sluggish revenue increases. Yonyou Network’s revenue reached 8.51 billion yuan in 2019 but only inched up to 9.182 billion yuan by 2025, representing a cumulative revenue increase of less than 700 million yuan over six years.

From a client distribution perspective, Yonyou Network has long pursued a ‘large projects + large clients’ business model, with core clients concentrated among large government and enterprise units. While these clients bring substantial orders and strong brand endorsement effects—for instance, in 2025, the company secured contracts with multiple central and state-owned enterprises, including China National Nuclear Corporation and China Merchants Group—this model harbors a fatal flaw: high project customization, lengthy delivery cycles, and frequent client-driven business requirement adjustments compel the company to repeatedly rework projects, further escalating labor and project operation costs.

Faced with growth bottlenecks in its traditional ERP software business, Yonyou Network has not remained complacent. In 2015, the company rebranded from ‘Yonyou Software Co., Ltd.’ to ‘Yonyou Network Technology Co., Ltd.,’ signaling a symbolic shift towards cloud services. In 2016, Yonyou Network formally implemented its 3.0 strategy, pivoting its business focus to cloud services. In 2020, the company advanced its 3.0-II strategy, launching the Business Innovation Platform (YonBIP). By 2025, the combined revenue from cloud and software businesses had surged to 98.07%.

However, a reassessment of the transformation results reveals that the cloud-based shift has not yielded substantial operational improvements for Yonyou Network. Although the profit model transitioned from software buyouts to cloud service subscriptions, the core business remains the standardized, coded, and systematized construction of procurement, approval, finance, and inventory processes for large enterprises, failing to address the industry’s pain points of ‘high customization, long cycles, and heavy delivery.’

Notably, the cloud transition has also imposed significant operational burdens on Yonyou Network: substantial upfront investments are required for R&D, infrastructure development, and marketing, while revenue recognition has shifted from traditional one-time software payments to subscription-based, installment revenue recognition. This ‘upfront investment, deferred revenue’ structure has directly plunged Yonyou Network into a vicious cycle where ‘greater transformation efforts lead to higher losses.’

Can AI Revolutionize Yonyou?

The ‘business model quagmire’ at the operational level is not Yonyou Network’s most formidable challenge; its more pressing concern is mitigating the disruptive impact of the AI wave.

Currently, AI has structurally disrupted traditional ERP systems. The core value of traditional ERP lies in ‘solidifying business processes,’ as previously mentioned—standardizing, coding, and systematizing corporate procurement, approval, finance, and inventory processes. In the AI era, however, corporate core needs have shifted towards ‘dynamic business responsiveness and full-scenario data integration.’ AI agents can be seamlessly integrated into front-end business processes like procurement inquiries and production scheduling. If ERP systems merely serve as back-end data aggregation tools, they risk obsolescence in the market.

Against this industry backdrop, Yonyou Network cannot sidestep the disruptive impact of AI-driven industry changes. The company’s original business model was already constrained by the inherent flaws of ‘high customization, long cycles, and heavy delivery.’ More critically, the rapid deployment of AI technologies is undermining this operational model from the ground up. Especially problematic is Yonyou’s long-standing ‘large projects + large clients’ model, which is essentially a labor-intensive business reliant on man-month billing. AI is not merely replacing individual roles but disrupting a business model that hinges on stacking human resources for delivery. When enterprises pay solely for complete business solutions rather than implementation man-hours, Yonyou’s traditional model of deploying large teams of implementation consultants on-site will confront unprecedented challenges.

Indeed, as AI agent technologies accelerate their deployment, market concerns have mounted that the SaaS seat-based charging model will be disrupted by agent-based services. The global IGV software index witnessed a maximum drawdown of nearly 30% in the first quarter, with the sector’s total market capitalization evaporating by over $1 trillion. Domestic ERP software company stock prices have also sharply corrected, with Yonyou Network serving as a prime example—its stock price has corrected by over 24% year-to-date, significantly underperforming the broader market. Hong Kong-listed Kingdee International has fared even worse, with its stock price plunging by over 50% year-to-date.

Fortunately, after recognizing the AI industry’s transformative trends, Yonyou Network acted swiftly, initiating a comprehensive AI layout as early as 2025.

On the product front, Yonyou Network developed its enterprise service large model, YonGPT, iteratively upgraded its core product BIP, and integrated multiple mainstream large models, including DeepSeek, Doubao, and Tongyi Qianwen, to fully advance its ‘AI + Cloud’ transformation strategy. In August 2025, YonGPT was upgraded into a complete model matrix, encompassing industry-specific large language models, multimodal large models, vector models, recommendation models, and other categories. In February 2026, the company launched the LOM ontology large model, enabling AI to deeply comprehend corporate business logic and perform complex business reasoning.

On April 28, 2026, Yonyou Network officially unveiled YonClaw, an enterprise super agent, positioned as ‘business-aware, executable, and highly secure.’ Official materials indicate that YonClaw is not merely an AI feature add-on but is natively embedded across Yonyou’s entire BIP product suite, connecting core businesses across R&D, supply chain, production, sales, services, human resources, finance, assets, customers, and projects. According to Yonyou, YonClaw supports two operational modes: open-ended goal tasks and end-to-end process tasks, enabling it to autonomously advance open-ended business goals while strictly adhering to predefined business process boundaries.

Objectively speaking, Yonyou’s decision to embrace AI is a strategic imperative, as AI is emerging as a new growth driver for the ERP market. IDC data shows that the domestic ERP market equipped with AI capabilities reached $315.7 million in 2025, marking a 96.1% year-on-year increase. Gartner predicts that by 2027, 62% of cloud ERP procurement spending will be directed towards applications with generative AI capabilities, compared to just 14% in 2024. Morgan Stanley research also notes that 48% of surveyed enterprises cite AI capabilities as a core driver for migrating their ERP systems to the cloud.

Conclusion

From its humble beginnings in financial software to becoming a domestic ERP leader and subsequently grappling with sustained pressures during its cloud transformation, Yonyou Network’s nearly four-decade journey mirrors the complete evolution of China’s enterprise software industry.

Today, Yonyou Network stands at the forefront of the AI-driven transformation wave, confronting multiple severe challenges: its underlying business model is undergoing disruptive changes, it has accumulated over 4.4 billion yuan in losses over three years, its market capitalization has shrunk by nearly 150 billion yuan, and operational difficulties abound. Fortunately, the company has proactively deployed AI-related businesses, achieving phased progress in its transformation. However, in an increasingly competitive market environment, merely deploying AI is insufficient. The core question that markets and capital are most concerned about remains whether Yonyou Network can leverage its AI business to achieve profitable growth.