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深向科技造车 供应商赚钱?

魏帅 2026-06-12 09:16
魏帅 2026/06/12 09:16

邦小白快读

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本文核心介绍了百度与狮桥集团联合孵化的智能重卡新势力深向科技冲击港交所IPO的发展现状,核心干货整理如下:

1. 业绩增长亮眼:成立三年来,公司营收从4.26亿元增长至39.61亿元,规模扩张近9倍,2025年新能源重卡交付量突破8000辆,同比增长167%,经营性现金流首次转正至8.35亿元,主营业务初步实现自我造血,商业化从高投入扩张迈入高效率运营阶段。

2. 存在明显发展隐患:三年累计净亏损达17.13亿元,预计2026年仍会保持净亏损,2025年整体毛利率仅4.9%,远低于汽车行业10%-20%的平均水平,属于典型的增收不增利。

3. 核心痛点来自供应链:深向采用轻资产代工模式,供应商高度集中,对上游供应链掌控力极弱,利润空间被上游严重挤压,目前计划通过自建三电工厂,将核心零部件从外采转为自研自产解决该问题。

深向科技的发展路径和遇到的问题,能给新能源商用车品牌提供很多干货参考,整理如下:

1. 战略打法可借鉴:深向科技采用正向定义+软硬件一体化+渐进式路径,先落地L2级自动驾驶实现规模交付,用车辆销售获得的现金流和真实运营数据反哺L4级自动驾驶研发,形成“数据飞轮+沿途下蛋”的商业闭环,既解决了早期研发资金压力,也能积累真实场景数据优化技术。

2. 产品方向符合行业趋势:当前新能源重卡已经进入全产业链生态竞争阶段,核心比拼产品全生命周期成本,深向主打全生命周期经济性,产品比燃油重卡降本22.8%,同时打造覆盖车联网、补能的一站式服务生态,贴合市场需求。

3. 需要吸取的发展教训:轻资产代工模式下,供应商高度集中会导致企业丧失成本话语权,利润被上游挤压,需要尽早推进供应链垂直整合,自研自产核心零部件,才能保障长期盈利空间,建立竞争壁垒。

当前新能源重卡赛道已经进入白热化淘汰赛阶段,相关从业者可从深向科技的发展中获得以下机会与风险提示:

1. 市场机会梳理:新能源重卡市场渗透率已经突破30%,整体是万亿级的公路货运增量市场,客户核心关注全生命周期运输成本,主打经济性、智能化以及一体化服务的产品拥有明确增长空间;深向的“沿途下蛋”模式,先落地成熟技术造血反哺高端研发,适合新入场玩家参考,降低早期经营风险。

2. 核心风险提示:当前行业价格竞争激烈,传统主机厂依托成熟供应链和客户基础占据市场主导,新品牌如果没有稳定的成本优势很容易被市场淘汰;轻资产代工模式如果供应链过度集中,会面临断供、成本失控的风险,长期低毛利无法支撑企业持续发展。

3. 应对方向参考:可通过垂直整合核心零部件、优化供应链结构、拓展海外市场获取溢价等方式,逐步提升利润率,增强抗风险能力。

深向科技的发展变化,给商用车制造领域的工厂带来了以下启示和商业机会:

1. 产品生产需求变化:当前新能源重卡市场竞争已经转向全产业链生态竞争,客户需要适配干线物流场景的智能化产品,以及全生命周期低成本的产品,对电池包、电驱桥、电控系统等核心三电部件的技术、产能和品质要求越来越高,工厂需要匹配相关生产能力才能获得合作机会。

2. 明确商业机会:深向科技目前正在推进核心三电自研自产,未来代工合作的需求结构会发生变化,掌握核心零部件生产技术、品控能力强、产能弹性充足的老牌代工工厂,依然有稳定的合作空间,同时也可以为新势力品牌提供定制化代工服务,扩大自身产能利用率。

3. 数字化转型启示:智能网联是重卡行业的发展方向,工厂需要推进生产端的数字化升级,适配智能化重卡的生产要求,同时要提升自身品控和交付响应能力,才能绑定优质客户,在行业变化中稳定自身地位。

新能源重卡行业的发展变化,给相关技术、运营服务商带来了以下干货参考:

1. 行业发展趋势明确:当前新能源重卡已经从早期的政策驱动抢份额,转向以全生命周期成本、生态协同为核心的体系化竞争,行业需求已经从单纯的整车制造转向“整车+核心部件+基础设施+运营服务”的全产业链服务需求,服务商的市场空间进一步扩大。

2. 核心客户痛点清晰:新势力重卡品牌普遍面临供应链成本高、话语权弱、盈利难的痛点,同时有数据积累迭代、技术升级的需求;B端客户则需要全生命周期降本,需要补能、金融、车联网管理一体化的配套解决方案。

3. 行业机会方向:针对商用车干线物流场景的定制化自动驾驶技术有很大市场需求,背靠技术积累的智驾服务商可以获得更多合作机会;补能、金融、车联网运营等服务商,也可以依托整车品牌打造一体化服务网络,分享行业增长红利,供应链优化咨询服务也有明确的市场需求。

深向科技冲击IPO以及新能源重卡行业的发展变化,给商用车产业相关平台带来以下启示:

1. 产业端需求清晰:智能重卡新势力普遍采用轻资产代工模式,对代工生产平台、供应链服务平台有很强的依赖,头部代工平台已经成为新势力的核心合作依托,平台需要提升自身的产能弹性和品控能力,才能满足新势力品牌的批量交付需求,获得更多合作订单。

2. 需要规避的经营风险:目前新势力品牌普遍依赖少数供应商和代工厂,合作集中度很高,供应链平台需要防范单一客户合作变动带来的经营风险,要主动拓展多元化客户结构,避免客户流失带来的产能闲置问题。

3. 平台发展方向:可以针对新能源商用车企业打造集零部件采购、代工生产、售后配套于一体的综合性服务平台,匹配深向这类企业对供应链降本、垂直整合的需求;也可以围绕重卡运营打造补能、金融、运营管理一体化服务平台,贴合当前行业生态竞争的需求,还可以针对性引入优质新势力品牌招商,抢占赛道增长红利。

深向科技作为跨界孵化的智能重卡新势力,其发展路径反映了当前新能源商用车赛道的新动向和新问题,具备较高的研究价值,核心内容整理如下:

1. 产业新动向:当前新能源重卡市场渗透率已经突破30%,行业竞争从早期的政策驱动抢占地盘,转向比拼全生命周期成本、全产业链生态能力的体系化竞争;跨界整合头部资源+轻资产代工,已经成为智能重卡新势力的主流入场模式,能大幅缩短从概念到量产的周期,降低早期重资产投入风险。商业模式层面出现了“沿途下蛋”的数据闭环模式,先落地成熟的L2自动驾驶获取现金流和真实场景数据,再反哺L4技术研发,解决了自动驾驶研发长期烧钱的问题。

2. 产业新问题:轻资产代工模式带来了供应商高度集中、成本失控、毛利率长期偏低的问题,新势力企业普遍陷入增收不增利的困境,对上游供应商没有话语权,影响长期发展,资本市场对未盈利新势力的耐心也在逐步降低,给新势力IPO和融资带来了很大不确定性。

3. 未来研究方向:目前行业探索的核心方向是垂直整合供应链、自研自产核心三电来解决盈利问题,软件驱动的智能化服务转型是长期发展方向,值得持续跟踪研究。

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Quick Summary

This article focuses on the current development of DeepWay, a new intelligent heavy-truck brand jointly incubated by Baidu and Lionbridge Group, as it prepares for an IPO on the Hong Kong Stock Exchange. Key takeaways are as follows:

1. Impressive growth performance: Founded three years ago, the company has grown its revenue from RMB 426 million to RMB 3.961 billion, an almost 9-fold expansion. In 2025, its delivery volume of new energy heavy trucks exceeded 8,000 units, up 167% year-on-year. Its operating cash flow turned positive for the first time, reaching RMB 835 million, meaning its core business has achieved initial self-sufficiency. The company has transitioned from high-investment expansion to high-efficiency operation.

2. Notable development risks: DeepWay has accumulated a net loss of RMB 1.713 billion over three years, and is expected to remain unprofitable in 2026. Its overall gross margin stood at only 4.9% in 2025, far below the 10%-20% average for the automotive industry, representing a typical case of revenue growth without profit.

3. Core pain point rooted in supply chain: DeepWay adopts an asset-light foundry model with highly concentrated suppliers, leaving it with extremely weak control over upstream supply chains and severely squeezed profit margins. It currently plans to address this issue by building its own three-electric (battery, motor, electronic control) factory to shift core component supply from external procurement to in-house R&D and production.

DeepWay's growth trajectory and challenges offer valuable insights for new energy commercial vehicle brands. Key takeaways are as follows:

1. Replicable strategic approach: DeepWay adopts a strategy of forward product definition, integrated software and hardware development, and a gradual commercialization path. It first launched mass delivery of Level 2 autonomous driving trucks, using cash flow from vehicle sales and real-world operating data to feed R&D for Level 4 autonomous driving, forming a closed "data flywheel + along-the-way commercialization" business cycle. This approach eases early-stage R&D funding pressure while accumulating real-scenario data to optimize technology.

2. Product alignment with industry trends: The new energy heavy truck sector has entered an era of full-industry-chain ecological competition, where the core competitive metric is total cost of ownership (TCO). DeepWay positions its products around TCO efficiency, delivering a 22.8% cost reduction compared to diesel heavy trucks. It has also built a one-stop service ecosystem covering connected vehicle systems and energy refueling/recharging, which aligns well with market demand.

3. Key lessons to learn: Under the asset-light foundry model, high supplier concentration strips brands of pricing power and squeezes profit margins. Brands need to推进 vertical integration of supply chains and develop in-house R&D and production of core components as early as possible to secure long-term profit margins and build competitive barriers.

The new energy heavy truck track has entered an intense elimination round, and industry practitioners can draw the following insights on opportunities and risks from DeepWay's development:

1. Market opportunity overview: New energy heavy truck penetration has exceeded 30%, and the sector represents a trillion-yuan incremental market for road freight. Customers prioritize total cost of ownership, so products focused on economic efficiency, intelligence, and integrated services have clear growth room. DeepWay's "along-the-way commercialization" model — deploying mature technology first to generate cash flow that feeds advanced R&D — is a valuable reference for new market entrants to reduce early-stage operational risk.

2. Core risk alerts: Intense price competition currently dominates the sector, and established OEMs hold market leadership thanks to mature supply chains and established customer bases. New brands without stable cost advantages are at high risk of being eliminated. An over-concentrated supply chain in the asset-light foundry model exposes brands to risks of supply disruptions and out-of-control costs, and sustained low gross margins cannot support long-term operations.

3. Suggested response strategies: Players can gradually improve gross margins and strengthen risk resilience by vertically integrating core components, optimizing supply chain structure, and expanding into overseas markets to capture higher margins.

DeepWay's development offers the following insights and business opportunities for factories in the commercial vehicle manufacturing space:

1. Shifts in production demand: Competition in the new energy heavy truck market has shifted to full-industry-chain ecological competition. Customers require intelligent products adapted for long-haul logistics scenarios, with low total cost of ownership. Demand is rising for higher technical standards, production capacity, and quality for core three-electric components including battery packs, electric drive axles, and electronic control systems. Factories need to upgrade their production capabilities to match these requirements to secure cooperation opportunities.

2. Clear business opportunities: DeepWay is currently advancing in-house R&D and production of core three-electric components, which will reshape its demand for foundry cooperation going forward. Established foundries with core component production technology, strong quality control, and flexible production capacity will still retain stable cooperation opportunities, and can also expand capacity utilization by offering customized foundry services for new brand players.

3. Insights for digital transformation: Intelligent connectivity is the development direction of the heavy truck industry. Factories need to advance digital upgrades on the production end to meet the manufacturing requirements of intelligent heavy trucks, while improving quality control and delivery response capabilities to lock in high-quality clients and secure a stable position amid industry shifts.

The evolution of the new energy heavy truck industry offers the following key insights for technology and operation service providers:

1. Clear industry development trend: The sector has shifted from early policy-driven market share grabbing to systematic competition centered on total cost of ownership and ecological collaboration. Industry demand has expanded from pure vehicle manufacturing to full-industry-chain service needs covering "complete vehicles + core components + infrastructure + operation services," which further expands the market space for service providers.

2. Clear understanding of core customer pain points: New intelligent heavy truck brands generally face pain points including high supply chain costs, weak bargaining power, and difficulties turning a profit, while also needing data accumulation and iteration to support technology upgrading. B-end clients require total lifecycle cost reduction, and demand integrated supporting solutions covering energy refueling/recharging, financing, and connected vehicle management.

3. Key opportunity directions: There is strong market demand for customized autonomous driving technology tailored for long-haul commercial logistics. Self-driving service providers with solid technical accumulation will gain more cooperation opportunities. Energy, financing, and connected vehicle operation service providers can build integrated service networks in partnership with vehicle brands to share the benefits of industry growth. There is also clear market demand for supply chain optimization consulting services.

DeepWay's IPO filing and the evolution of the new energy heavy truck industry offer the following insights for commercial vehicle industry platforms:

1. Clear industry demand: New intelligent heavy truck players generally adopt an asset-light foundry model, creating strong dependence on foundry production platforms and supply chain service platforms. Leading foundry platforms have become core cooperation partners for new players. To secure more cooperation orders and meet the mass delivery demand of new brands, platforms need to improve production capacity flexibility and quality control capabilities.

2. Operational risks to avoid: Most new brand players rely on a small number of suppliers and foundries, resulting in very high cooperation concentration. Supply chain platforms need to mitigate operational risks caused by shifts in cooperation with single clients, and proactively expand a diversified client base to avoid capacity idleness from client churn.

3. Directions for platform development: Platforms can build comprehensive service platforms integrating component procurement, foundry production, and after-sales support for new energy commercial vehicle companies, to match the supply chain cost reduction and vertical integration needs of companies like DeepWay. They can also build integrated service platforms covering energy, financing, and operation management for heavy truck operations to align with the needs of current industry ecological competition. They can also proactively recruit high-quality new brand players to capture the growth dividends of the sector.

As a cross-industry-incubated new entrant in the intelligent heavy truck space, DeepWay's growth trajectory reflects new trends and emerging issues in the current new energy commercial vehicle track, and carries high research value. Key findings are summarized as follows:

1. New industry trends: New energy heavy truck penetration has now exceeded 30%, and industry competition has shifted from early policy-driven market expansion to systematic competition centered on total cost of ownership and full-industry-chain ecological capability. Cross-industry integration of leading resources combined with asset-light foundry manufacturing has become the mainstream entry model for new intelligent heavy truck players. This approach greatly shortens the timeline from concept to mass production, and reduces the risk of heavy early-stage capital expenditure. A new "along-the-way commercialization" closed data cycle business model has emerged: players first deploy mature Level 2 autonomous driving to generate cash flow and collect real-world scenario data, which then feeds L4 R&D, solving the problem of long-term cash burn for autonomous driving development.

2. New industry problems: The asset-light foundry model has led to issues including highly concentrated suppliers, out-of-control costs, and persistently low gross margins. Most new players are trapped in a situation of growing revenue without profit, lacking bargaining power over upstream suppliers, which undermines long-term development. Capital markets are also losing patience with unprofitable new players, creating significant uncertainty for new entrants' IPOs and financing efforts.

3. Future research directions: The core current industry exploration focuses on solving profitability challenges through vertical supply chain integration and in-house R&D and production of core three-electric components. Software-driven intelligent service transformation is the long-term development direction of the sector, and deserves continuous tracking and research.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

距离首次递表失效仅仅过去半年,2026年5月,深向科技再次向港交所递交了主板上市申请。

作为百度与狮桥集团联手孵化的智能重卡新势力,这家被外界冠以“卡车界特斯拉”光环的企业,正试图用一份颇具爆发力的“二次答卷”来重新叩响资本市场的大门。

翻开其更新后的招股书,短短三年间,公司营收从2023年的4.26亿元一路飙升至2025年的39.61亿元,规模扩张近9倍,更迎来了至关重要的现金流拐点——经营性现金流首次转正至8.35亿元。

这标志着,这家曾经疯狂烧钱的造车新势力,其主营业务终于具备了初步的自我“造血”能力。

然而,在这份充满荷尔蒙的增长成绩单背后,深向科技依然面临着严峻的盈利大考。

2023年至2025年的报告期内,深向科技累计净亏损高达17.13亿元,2025年整体毛利率仅为4.9%。

在重资产、重成本的新能源汽车制造业,不足5%的毛利率意味着卖车本身几乎是在“赔本赚吆喝”,微薄的利润空间被上游供应链严重挤压。

这种“增收不增利”的财务窘境,以及高度依赖外部代工的供应链模式,成为了其冲击IPO道路上最大的悬念。

随着行业竞争进入白热化的“淘汰赛”阶段,深向科技究竟能否打破被供应商“扼住咽喉”的被动局面,把技术优势转化为实实在在的盈利能力,将是决定其能否在万亿级公路货运市场中真正站稳脚跟的生死之战。

01 业绩冰火两重天

深向科技交出的这份三年财务答卷,呈现出一种“冰火两重天”态势。

“火”的一面,是其核心业务展现出了惊人的爆发式增长势能。

报告期内,公司营收从4.26亿元一路狂飙至39.61亿元,三年时间里实现了近9倍的规模扩张;新能源重卡交付量在2025年强势突破8000辆大关,同比激增167%。重卡销量的激增,也是企业营收实现规模化扩张的关键所在。

经营活动产生的现金流量净额也首次由负转正,达到8.35亿元。这一关键指标的逆转,标志着深向科技的主营业务终于告别了单纯依靠外部融资输血的阶段,初步具备了自我“造血”的生存能力,商业化进程正式从“高投入扩张”迈向了“高效率运营”的新周期。

然而,在光鲜亮丽的营收与交付数据背后,深向科技的盈利状况却处于“冰点”。

数据显示,公司净亏损分别为3.89亿元、6.75亿元、6.49亿元,三年累计亏损超17.13亿元,尽管亏损率有所收窄,但绝对金额依然庞大,仍身处亏损的泥潭。

且根据招股书,公司预计2026年仍将录得净亏损。

毛利率方面,整体呈持续上升趋势。报告期内,公司毛利分别为180万元、980万元、1.95亿元,整体毛利率从0.4%、0.5%提升至4.9%。

但需要警惕的是,发展至今,深向科技毛利率仍处于5%以下的水平,通常汽车行业的毛利率普遍在10%-20%之间,这在激烈的市场竞争中显然不够看。

这种“增收不增利”的财务窘境,与深向科技独特的发展战略密切相关。

为了在激烈的市场竞争中快速抢占份额,深向科技早期采取轻资产代工模式,将正向定义的纯电重卡快速推向市场。

深向科技在接受「创业最前线」采访时表示,公司采用正向定义+软硬件一体化+渐进式路径的战略打法。在RoboTruck赛道中,先以L2大规模落地实现自我造血,用销售车辆的现金流和真实数据反哺研发,形成“沿途下蛋”的商业闭环。大规模交付的L2重卡,在真实运营场景中积累了海量数据,形成数据飞轮效应,驱动L4持续进化——这正是特斯拉验证过的成功路径。

在深向科技看来,每一台卖出去的重卡不仅是运输工具,更是24小时不间断工作的数据采集终端。卖车获取的毛利虽然微薄,但车辆在实际货运场景中产生的海量规划与控制数据,却是训练下一代自动驾驶算法最宝贵的燃料。

但在制造业的现实中,微薄的毛利让其供应链极其脆弱——一旦上游成本波动或销量不及预期,这种脆弱的盈利模型将面临巨大挑战。

持续扩大的亏损和极低的毛利率,不仅反映了公司在产能爬坡期高昂的研发与运营成本,更成为了其冲击IPO道路上最大的悬念——资本市场是否愿意为这个尚未完全兑现的“数据闭环”故事持续买单,将是深向科技能否成功上市的关键。

02 被供应商“扼住咽喉”

相比其他早期的智能重卡创业公司,深向科技的商业模式核心,可以高度概括为“顶级资源的跨界整合”与“轻资产代工的快速突围”。

这种模式让它在成立短短几年内,就从一个PPT上的概念,迅速成长为年营收近40亿元的行业黑马。

资源来自深向科技颇具“背景”的投资人。除了创始人万钧背后的狮桥集团,另一创始股东百度已经为这个企业注入了底层基因。

作为战略投资方,深向科技获得了百度Apollo在商用车领域唯一的“白盒”自动驾驶技术授权。这意味着深向拿到的不是封装好的黑盒子接口,而是底层源代码和核心知识产权

这让它能够直接复用百度十余年的技术沉淀,并根据重卡干线物流的特定场景进行深度定制和优化,极大地降低了研发门槛,缩短了技术验证周期。

创始人万钧则将狮桥深耕多年的商用车产业链资源注入了深向。狮桥不仅带来了覆盖全国的物流场景和卡车司机的运营数据,还提供了成熟的车辆金融、售后服务和风控模型。这让深向科技跳出了纯技术团队的“实验室思维”,更接近物流行业降本增效的真实痛点。

这种跨界融合的背景,让深向科技从诞生之初就跳出了传统造车企业“唯技术论”的窠臼,转而形成了“商业价值优先、数据驱动终局”的战略打法。

在量产制造环节,深向科技的打法选择了类似早期“蔚小理”的“无工厂模式”,即由江淮汽车、山东雷驰等老牌车企进行车辆定制与代工,自身则保留对车辆工程、系统架构及核心零部件的控制权。

这种模式的“红利”非常直观。首先就是快速规避了传统车企动辄百亿的建厂重资产投入和漫长的资质审批周期。仅用两年半时间,深向科技就实现了首款车型“深向星辰”的量产交付。

但直接的问题就是缺乏独立生产能力,致使企业对供应链的掌控力极弱。

招股书显示,报告期内,深向科技来自五大供应商的采购金额分别为8.39亿元、33.72亿元及69.03亿元,占各年度期间总采购金额的88.1%、92.3%和79.4%。同期,最大供应商的采购金额分别为6.08亿元、22.30亿元及23.36亿元,占各年度期间总采购金额的63.8%、61.0%和26.9%。

在风险提示中,深向科技也坦言,若供应商未能按协议方式、质量及时履行各自义务,导致原材料及组件供应不足或延迟,可能阻碍车辆生产,进而对新能源重卡解决方案的销售及交付造成不利影响。

若供应商选择终止与公司的合作关系,转而与竞争对手建立合作,公司将面临合作关系延续的不确定性,且可能无法及时以商业上可接受的条款找到合适替代方案。“一旦这些供应商出现经营问题或调整合作策略,深向科技的供应链将面临巨大冲击,甚至可能影响到整个生产活动的正常进行。”分析人士指出。

整车制造高度依赖外部,导致深向在面对上游时几乎没有谈判筹码,成本控制处处受制于人,这也是其整体毛利率长期徘徊在个位数的核心原因之一。

更关键的是,车辆的交付节奏、批次质量完全受制于代工厂的产能弹性和品控水平,一旦合作方出现产能受限或战略转向,深向的业务根基将面临直接冲击。

另一方面,供应商高度集中也可能导致企业在技术创新和产品升级上受到限制。因为供应商的技术和生产能力在很大程度上决定了企业的产品水平,如果供应商无法及时提供新技术或新产品,企业就难以在市场上保持竞争力。

深向科技回复「创业最前线」的采访中也提到供应链与规模化的提升对于产品毛利率提升的重要性。深向科技方面表示,将通过垂直整合实现物料清单(或BOM)削减,产品组合优化、海外市场溢价、规模经济及供应链优化进一步支持利润率扩张。

03 在红海竞争中突围

当前新能源重卡行业的竞争,已经从早期的“政策驱动”和“抢占先机”,全面转向了以全生命周期成本、技术路线适配、生态协同与商业模式为核心的“马拉松式”体系竞争。

随着渗透率突破30%,赛道竞争也日益拥挤。

传统主机厂为了争夺那有限的市场份额,手段尽出,将中标价格压至物料清单成本红线以下已非罕见现象。

目前,中国重汽、一汽解放、东风商用车等依托深厚的供应链体系和客户基础,快速推出覆盖纯电、混动、氢能三大路线的车型,占据市场主导地位。徐工机械、三一重工等机械系则凭借在工程机械领域的先发优势和电动化经验,保持紧跟态势。

单纯的车辆性能比拼已成过去式,现在的竞争已经升级为“整车+核心部件+基础设施+运营服务”的全产业链生态竞争。

据深向科技介绍称,灼识咨询数据显示,在假定五年的全生命周期内,深向科技的重卡产品相比燃油卡车和油改电卡车,成本分别降低22.8%和10.8%,经济性优势贯穿产品全生命周期。

据悉,深向科技已经构建了覆盖车联网管理及补能支持的全面公路货运服务生态系统,为客户提供一站式解决方案,形成网络效应。

当然,头部企业也不再只卖车,而是提供“车辆+补能+金融+管理”的一体化解决方案。包括三一、徐工等传统企业也在尝试将车辆与光伏、储能、充电/换电站建设打包,甚至联合高速交投与能源企业共同构建干线补能路网。

重卡不同于乘用车,作为生产资料工具,其未来的竞争核心,就是谁能通过技术降本和商业模式创新,最快帮客户算平这笔账。

在行业价格战不断、成本压力层层转嫁的背景下,深向科技目前的低毛利率并没有给出足够的安全感,甚至在卷度更胜以往的市场中,随时有被赶上的风险。

在这种状况下,深向科技想要在激烈的市场竞争中生存下来,必须尽快找到提升毛利率的有效途径,否则极有可能被市场淘汰。

面对供应链的掣肘和盈利的压力,深向科技必须要加速提升自身的整合能力。目前,深向科技正在全力推进湖州长兴“三电智慧工厂”的投产,将电池包、电驱桥、电控系统等占整车成本约60%的核心零部件从“外采”转为“自研自产”。

在「创业最前线」看来,只有掌握核心零部件的自主生产权,深向科技才能摆脱对外部供应商的依赖,通过技术迭代和规模效应大幅压低整车成本,从而在价格战中拥有更加可靠的盈利结构,掌握自身发展的命脉。

在软件方面,深向科技积极布局智能驾驶、智能网联等领域,通过软件开发为车辆赋予更多智能化功能。背靠百度大厂,深向科技应该更多发挥软件算法上的优势,向高毛利的智驾技术服务商转型。

从现阶段来看,现金流转正的深向科技,已经逐步向资本市场和全行业证明,其“先电动化、后智能化”的商业模式的可行性。

但在如今变幻莫测的市场中,随着销量规模的进一步扩大和自产零部件的降本,深向科技需要尽快实现扭亏为盈,建立长期的生存壁垒,证明其在这场生态“马拉松”中的持续发展能力。

注:文/魏帅,文章来源:创业最前线(公众号ID:chuangyezuiqianxian),本文为作者独立观点,不代表亿邦动力立场。

文章来源:创业最前线

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