XiaoTong Column · 2025-06-26

Risk Compass”Digital Middle Platform in China”

I. Industry Risk Analysis

(1) Policy Risk

Currently, the digital middle – platform industry is in a period of policy formulation and adjustment. Entrepreneurs face the risks of unclear directions in data security regulatory policies and the possible sudden increase in access thresholds. If an enterprise’s existing business conflicts with future policies (such as cross – border data restrictions or the refinement of technical standards), it needs to urgently adjust its architecture, which will increase compliance costs. Meanwhile, the inconsistent implementation scales of local governments lead to chaotic market rules. If policies change during the evaluation period (such as restricting platform monopolies or splitting technical modules), the early – stage technical investments may depreciate due to insufficient adaptability. Policy cycle fluctuations directly affect an enterprise’s resource allocation and strategic stability.

(2) Economic Risk

The digital middle – platform industry currently faces multiple risks during the downward phase of the economic cycle: As enterprise customers tighten their budgets for digital transformation due to the economic slowdown, the growth rate of demand slows down, resulting in a narrowing of the incremental market in the industry. In the capital winter, it is difficult for VC/PE to raise funds, and the financing cycle for early – stage projects is prolonged, intensifying the cash – flow pressure. In the existing market, leading manufacturers start price wars to maintain growth, squeezing the profit margins of small and medium – sized enterprises. Some manufacturers that overly rely on orders from the government and large enterprises face the risk of bad debts caused by the contraction of fiscal expenditure. Small and medium – sized enterprises with insufficient R & D investment despite the accelerating technological iteration may be eliminated from the market due to their inferior product capabilities.

(3) Social Risk

The social risks faced by the digital middle – platform industry are mainly concentrated on the generational demand gap and value conflicts: Young entrepreneurs and users pursue technological iteration and scenario innovation, but the market dominated by traditional enterprises pays more attention to cost control and stability. As a result, it is difficult for middle – platform products to balance between “agile empowerment” and “practical implementation”. At the same time, the high sensitivity of Generation Z to data privacy increases compliance costs, while traditional enterprise decision – makers (mostly from Generation X) have insufficient understanding of the digital value. The generational cognitive differences between the supply and demand sides are likely to trigger a market trust crisis, prolong the return cycle of technological investment, and put small and medium – sized start – up companies at risk of cash – flow breakdown.

(4) Legal Risk

The legal risks in the digital middle – platform industry are mainly concentrated in three aspects: data compliance, intellectual property rights, and dynamic supervision. Data collection and storage need to meet the requirements of laws such as the Data Security Law and the Personal Information Protection Law. Cross – border transmission or over – scope use may easily trigger high – value fines. Technical solutions may infringe on third – party patents or software copyrights, especially the risks of commercial use of open – source codes need to be vigilant. The industry regulatory policies are iterating rapidly (such as the recent new regulations on the management of AI – generated content). Small and medium – sized start – up teams have difficulty keeping up with compliance transformation in a timely manner and are likely to be punished for incomplete qualifications or out – of – bounds business. In addition, contract terms with unclear definitions of rights and responsibilities in ecological cooperation may lead to commercial disputes, increasing implicit costs.

II. Entrepreneurship Guide

(1) Suggestions on Entrepreneurial Opportunities

Currently, entrepreneurial opportunities in the digital middle – platform industry are focused on lightweight solutions for segmented scenarios, with emphasis on exploring three major directions: data collaboration, process re – engineering, and technology penetration. It is recommended to enter customized data middle – platform modules in vertical industries (such as healthcare and retail), develop low – code toolkits to lower the access threshold for enterprises, and integrate cross – platform services through API marketplaces. For the demand of small and medium – sized enterprises for agile business middle – platforms, provide standardized subscription – based services of “data governance + intelligent analysis”, and integrate AIGC technology to achieve dynamic business optimization. Explore compliance middle – platforms strongly related to industry supervision (such as financial risk control and privacy computing), seize technical certification qualifications by taking advantage of policy dividends, and at the same time, layout the edge – computing collaboration between Internet of Things devices and cloud – based middle – platforms to fill the market gap between traditional heavy – asset middle – platforms and fragmented demands with low – cost, modular products.

(2) Suggestions on Entrepreneurial Resources

Entrepreneurs in the digital middle – platform industry need to focus on the integration of technology, data, and ecological resources. First, quickly acquire core technological capabilities through lightweight cooperation models, such as invoking third – party API interfaces or jointly building solutions with leading cloud service providers (such as Alibaba Cloud and Tencent Cloud). Tap the existing data resources of enterprises in vertical industries and break down data silos through industrial alliances or government public data platforms. Actively connect with special government funds for digital transformation support and industrial funds, and at the same time, build a BD team to focus on breaking through 3 – 5 benchmark customers to form implementation cases. Integrate ISV developer resources through ecological co – construction and quickly expand the product matrix through a profit – sharing mechanism. Take advantage of the policy dividend period to layout standardized SaaS products and lower the customer procurement threshold through the subscription system.

(3) Suggestions on Entrepreneurial Teams

Entrepreneurs in the digital middle – platform industry need to first build a “triangle – shaped” team: technical experts (who master cloud computing, AI, and data middle – platform architecture), industry solution experts (who deeply understand the business pain points in vertical fields), and ecological resource integrators (who have experience in cooperation with the government or large enterprises). It is recommended that the core team include at least one member with practical experience in digital transformation in traditional industries. In the early stage of the team, adopt the “1+1+N” model (1 CTO – level technical leader + 1 industry veteran + multiple modular technical groups that can be quickly iterated). Bind leading resource – based talents through virtual equity, set a 30% talent redundancy for key positions to cope with the risk of rapid technological route iteration, and hold cross – industry case analysis meetings every week to maintain market sensitivity.

(4) Suggestions on Entrepreneurial Risks

Entrepreneurs in the digital middle – platform industry need to first verify the core needs of target customers, quickly test business models through small – scale pilots or MVPs (Minimum Viable Products), and avoid blindly investing in customized development. Focus on segmented scenarios, reduce technological complexity and development costs with standardized modules, and at the same time, establish a flexible data security compliance mechanism to avoid policy risks. Strictly control cash flow, use the subscription system or phased payment model to ensure revenue stability, and establish cooperation with leading enterprises or ecological partners in the industry to share the pressure of technological iteration and market expansion. The team needs to have both technological implementation capabilities and vertical industry knowledge, and regularly iterate product functions to meet the fragmented needs of enterprise digital transformation.

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