Core Insights - The core demand in the manufacturing industry remains unchanged, focusing on production management and supply chain-related needs, with a more rational and focused understanding of transformation expectations from the demand side [1] - The digital transformation market for China's manufacturing industry is projected to reach 1.55 trillion in 2024, with a steady growth rate of around 14% expected over the next five years [2][39] - Despite years of digitalization efforts, the competitive landscape in the manufacturing sector has not significantly changed, indicating substantial potential for future market opportunities [3] Demand Market Characteristics - The manufacturing industry exhibits strong regional characteristics, with Guangdong, Jiangsu, Zhejiang, and Shandong being the top provinces actively pursuing digital transformation [4][5] - The evaluation side of the market emphasizes practical implementation in production-related areas, with 57.8% of focus on core production needs in recent years [8][9] - The bidding side primarily involves government and state-owned enterprises, which account for 95.2% of digital transformation initiatives, focusing on diagnostic assessments and implementation [10] Transformation Status - Companies have recognized the necessity of digital transformation, with 86.7% acknowledging its importance, and 71.1% implementing various tools to optimize business processes [15][16] - The primary drivers for transformation are demand from the supply chain and the need for operational cost optimization, with 84.4% of companies aiming for cost reduction [19] Urgent Transformation Scenarios - The most pressing scenarios for digital transformation include data preparation, supply chain management, and production management, with 77.8% of companies prioritizing data infrastructure [21][22] Supplier Selection and Concerns - Companies prioritize practical solutions that align with their operational needs when selecting suppliers, with 82.2% focusing on solution applicability [25] - Historical burdens, such as complex system upgrades, are significant concerns for companies during the transformation process [25] Future Investment Trends - A significant 77.8% of companies plan to increase their digital transformation investments in the coming year, primarily focusing on software solutions [27][28] Exploration of Large Models - Companies are actively exploring the application of large models in marketing, supply chain management, and data services, with 40% focusing on customer insights and marketing management [30] - Concerns regarding the uncertainty of outcomes from large models pose a significant risk, with 80% of companies expressing apprehension about decision-making risks [33] Market Characteristics and Trends - The integration of solutions is becoming more evident, with a trend towards soft-hard integration and cross-module collaboration [44][47] - The application of large models is gradually deepening, with companies exploring various methods to leverage these technologies in industrial applications [48][49] Future Opportunities - High-tech industries within discrete manufacturing are identified as high-potential sectors, with opportunities for leading enterprises emerging in vertical industry strategies and domestic substitution markets [50]

制造业数字化转型丨 研究报告 核心摘要： 需求端的核心需求没有变，生产制造管理相关、供应链相关等是重点，也是离散制造业的核心诉求 。 只不 过，行业经过几年发展，需求端的对转型认知和期望变的更加理性与聚焦。 就需求端的需求而言，具有两大 特点： 1）地域特色明显，广东、江苏、浙江、山东既是制造业大省，也是积极尝试转型的省份，产业/区 域协同发展、提升数字化转型的基础支撑能力基本是其共性举措；2）从需求场景来看，评优和招标市场有 所区别：评优侧更关注生产制造相关环节的具体落地操作；招标侧则多由各市工业和信息化局采购的，希望 通过转型诊断后找到企业在研发、生产作业、数据、组织战略等环节开展诊断工作，进而给出相应的改造建 议，引导企业顺利转型。 就需求端的转型现状而言， 经过几年发展企业对数字化转型 理性与聚焦并行。理 性 一方面是指需求端在考虑到实际需求后，在战略上高度认可，并确定未来一年在转型支出上增加投入， 且供应商的选择更关注产品及服务的实用性；另一方面则是指面对大模型的热度，需求端虽然积极拥抱，但 是是以客户洞察与营销管理这一大模型更适用的场景为主。 聚焦 主要是指需求端对自身的需求认知更明 晰，即更加聚 ...

Core Viewpoint - The Chinese government has introduced a series of financial policies aimed at stabilizing the market and boosting confidence, focusing on supporting the real economy and addressing potential risks in specific sectors like real estate and small and medium enterprises [1] Key Investment Directions - Strategic emerging industries will be a core pillar for future development, with emphasis on sectors like artificial intelligence, quantum technology, and new energy vehicles, supported by specialized credit mechanisms and insurance funds for technology investments [2] - The digital transformation of the manufacturing sector will be prioritized, particularly through the "AI+" initiative, enhancing smart manufacturing and industrial internet platforms [3] - Infrastructure development will focus on green and low-carbon projects, with financial support for green infrastructure and resource recycling initiatives [4][5] - Agricultural modernization and rural revitalization will receive continued policy support, including increased funding for agricultural machinery updates and rural environment improvements [6] - The healthcare sector will see investments aimed at enhancing medical service capabilities, including the modernization of medical equipment and facilities [7] - Education modernization will be supported through funding for updating teaching equipment and improving cultural and sports facilities [8] Emerging Characteristics in Key Industries - In the industrial sector, funding will focus on equipment updates and smart transformations in traditional industries like steel and non-ferrous metals, aligning with national policies for industrial modernization [9] - The environmental sector will play a crucial role in the green transition, with investments in advanced low-carbon technologies and projects aimed at improving waste management and pollution control [10][11] - The agricultural sector will continue to receive support for machinery updates and technological innovations, enhancing productivity and income for farmers [12] - The healthcare sector will benefit from policies aimed at upgrading medical equipment and enhancing healthcare service delivery [13] - The education sector will see increased funding for updating educational facilities and equipment, supporting the modernization of teaching and research [14] - The digital asset management sector will receive comprehensive financial support, promoting the development of the digital economy [15][16] Diverse Funding Support Types - The introduction of long-term special bonds and local government bonds will provide significant funding for infrastructure and development projects, with a focus on new and emerging industries [17][18] - The scale of local government special bonds is set to reach 4.4 trillion yuan in 2025, reflecting the government's commitment to infrastructure investment and economic stability [18][20] - Central budget investments are projected to increase to 735 billion yuan in 2025, targeting major construction projects and public services [21] Project Planning Recommendations - The new financial policies present opportunities for reduced financing costs and improved access to funding in key sectors such as technology innovation and green development [22] - Companies should align their investment strategies with national priorities, focusing on emerging industries and sectors supported by government policies [26] - Utilizing policy-driven financing tools and enhancing core competitiveness will be essential for companies to thrive in the evolving economic landscape [28]

Group 1 - The core viewpoint of the report is that the market size for digital transformation in China's manufacturing industry is expected to reach 1.76 trillion yuan by 2025, maintaining a growth rate of around 14% over the next five years [1][2] - The report highlights that in 2024, the market size for digital transformation in manufacturing is projected to be 1.55 trillion yuan, with clearer service segmentation, richer products, and more systematic solutions [1][2] - Key drivers for market growth include policy support, technological advancements, and market demand, with specific goals set by the government for 2025, 2027, and 2030 [2] Group 2 - The demand market indicates that production-related transformations are a key focus for digital transformation in manufacturing [3] - Three notable areas of focus in the digital transformation process include: digitizing core nodes of enterprise systems, optimizing business and management layers using data assets, and enhancing management efficiency through the application of industrial large models [3] - Regions such as Guangdong, Jiangsu, Zhejiang, and Shandong are identified as active provinces in the digital transformation of manufacturing, reflecting regional characteristics in the industry [2]

尽管制造业的数字化已经进行了几年，但市场竞争格局尚未出现任何改变，未来在行业层面、市场打法层 面、产品及服务层面还有巨大的潜力，一切都是未知，一切也都有可能。 1）市场机会层面： 行业层面上， 离散制造业中的高技术产业是高潜力行业；打法层面上，垂直行业攻坚和信创/国产替代行业相对容易出现 领头企业。 2）产品层面： 大模型具有非常强的可探索性，但还处于非常早期的阶段，供需双方都在尝 试。大模型短期对市场竞争格局影响不大，但长期看，当大模型对实际应用场景具有支撑作用能力时，会加 速市场变化，故企业需把握大模型机会。 3）数据层面： 目前市场上数据交易、数据开放的声音出现比较 多，但企业无需纠结是否跟随，重要的是要基于数据（无论是自身数据还是外部数据）构建自己的行业认知 壁垒，即内化数据，完成数据-显性知识-隐性知识构建的完整链条。 需求市 场1 -具有强烈的地域特色 广东、江苏、浙江、山东等是制造业企业数TOP4省份，也是积极打造产业 集 群、 积极试行数字化转型的省份 制造业数字化转型丨 研究报告 核心摘要： 需求端的核心需求没有变，生产制造管理相关、供应链相关等是重点，也是离散制造业的核心诉求 。 只不 过 ...