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测一测你的企业数据要素竞争力|亿邦智库2026调研问卷开放填写

亿邦智库黄斌 2026-07-30 17:05
亿邦智库黄斌 2026/07/30 17:05

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本文核心内容为亿邦智库为编制《企业数据要素竞争力报告》,面向全国企业开放2026企业数据要素竞争力调研问卷,普通读者可从中了解数据要素领域最新政策动态,相关从业者可参与调研获得实际收益。

1. 核心行业信息:2026年被国家定义为“数据要素价值释放年”,国家将深化数据要素市场化配置改革列为数字经济发展首要任务,当前我国数字经济核心产业增加值占GDP比重已突破18%,数据资产入表已从试水走向常态化,但绝大多数企业仍处于数据要素化初级阶段。

2. 参与调研福利:符合身份的读者可在2026年8月20日前参与调研,可获得免费竞争力诊断、入选行业生态图谱、优先获取权威报告三大权益,所有调研数据严格保密,仅用于研究。

本文为品牌商梳理了数据要素领域最新政策与消费产业数字化趋势,提供了免费评估自身数据能力,获得行业背书的渠道,对品牌数字化升级有较高参考价值。

1. 趋势要求:当前数据已从资源转向资产再到资本,重新定义企业竞争边界,品牌商需要从“数据拥有”转向“数据产品化”“数据资产化”才能抓住增长红利,目前数据资产入表已经走向常态化,多数品牌仍处于初级阶段,亟需评估自身能力。

2. 可获得的支持:品牌的核心决策者可参与本次调研,基于四维框架获得免费的专属数据竞争力诊断,清晰定位自身短板优势,还可入选行业生态图谱获得权威曝光背书,优先获取行业最新报告,掌握标杆实践,支撑品牌数字化营销、产品研发升级。

本文为卖家解读了最新数据要素领域政策,指明了新的增长方向,同时提供了免费评估能力、抓住发展机会的渠道。

1. 政策与机会:2026年是国家明确的“数据要素价值释放年”,深化数据要素市场化配置改革是数字经济首要任务,数据资产化已经成为新的增长红利来源,当前数据资产入表已经走向常态化,多数卖家的数据能力仍处于初级阶段,尽早布局可抢占先机。

2. 参与获益:卖家的核心管理或数据负责人可在2026年8月20日前参与调研,可免费获得基于四维框架的自身数据竞争力诊断,明确在数据获取、治理、应用、合规方面的短板,还可获得权威行业曝光,优先获取最新行业报告学习标杆实践,所有调研数据严格保密,不会泄露企业个体信息。

本文为工厂推进数字化和数据要素化转型提供了清晰方向,同时带来了免费评估能力、对接行业资源的机会,对工厂适配数字化发展趋势有较高参考价值。

1. 转型启示:当前国家大力推进数据要素市场化配置改革,我国数字经济核心产业增加值占GDP比重已经突破18%,数据已经成为新的核心生产要素,工厂需要从单纯拥有数据转向数据资产化,才能获得新的增长红利,目前多数企业都处于转型初级阶段,尽早评估能力补齐短板可抢占竞争优势。

2. 可获得支持:工厂的创始人、数据或战略负责人可参与本次调研,免费获得基于四维框架的专属数据竞争力诊断,明确自身数字化转型的短板优势,还可入选行业生态图谱获得曝光,优先获取权威报告学习标杆转型实践,为工厂推进数字化生产、对接电商渠道提供参考。

本文为数据相关服务商梳理了行业发展趋势,明确了客户核心痛点,对服务商开发业务、制定解决方案有较高参考价值。

1. 行业发展趋势:2026年是国家定义的“数据要素价值释放年”,深化数据要素市场化配置改革是数字经济发展的首位任务,我国数字经济核心产业增加值占GDP比重已经突破18%,数据资产入表已经从试水走向常态化,整个数据要素服务市场拥有广阔的增长空间。

2. 客户核心痛点:当前绝大多数企业都处于数据要素化、资产化的初级阶段,企业普遍缺少科学的评估框架,无法明确自身在数据获取、治理、应用、安全合规层面的能力水平,有强烈的评估、对标需求。

3. 服务商可通过参与调研掌握行业最新动向,优先获取标杆实践信息,更好的针对性开发符合客户需求的解决方案。

本文梳理了当前企业在数据能力建设层面的核心需求,为平台商布局相关业务、优化运营管理提供了清晰参考。

1. 企业核心需求:随着数据要素市场化改革的深化,数据资产入表已经走向常态化,绝大多数企业都处于数据要素化的初级阶段,亟需科学的评估框架,对自身的数据获取、治理、应用、安全合规能力进行系统性评估,明确自身定位和短板,满足AI时代的竞争需求。

2. 平台运营启示:平台商可围绕企业数据能力评估、数据资产化转型布局相关服务,对接广大企业的需求,也可参考本次调研的模式,开展行业调研活动,吸引企业参与,丰富平台招商与服务内容,帮助平台内企业提升数据竞争力,规避数据合规风险,强化平台竞争力。

本文披露了当前数据要素领域的最新产业动向,明确了行业现存问题,为研究者提供了新的研究方向和一手数据获取渠道。

1. 最新产业动向:2026年被国家数据局明确定义为“数据要素价值释放年”,国家加快构建数据要素市场化配置改革“531”工作体系,将深化数据要素市场化配置改革列为2026年数字经济发展首位任务,当前我国数字经济核心产业增加值占GDP比重已突破18%,数据资产入表已从试水走向常态化。

2. 行业新问题与研究方向:当前绝大多数企业仍处于数据要素化、资产化的初级阶段,普遍缺乏科学的竞争力评估框架,亿邦智库提出企业数据要素竞争力四维评估框架,启动全国性调研编制权威报告,这一产业实践本身也为研究产业研究带动行业发展的新模式提供了样本,研究者可推动企业参与获取一手研究数据。

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Quick Summary

This article announces that EBang Think Tank has launched the 2026 National Corporate Data Element Competitiveness Survey, an open call for participation to inform its upcoming *Report on Corporate Data Element Competitiveness*. General readers can learn the latest policy updates in China's data element sector, while industry practitioners can gain tangible benefits by participating.

1. Key industry insights: 2026 has been designated by the Chinese government as the "Year of Data Element Value Release", and deepening market-oriented reform of data要素 allocation has been named the top priority for China's digital economy development. Currently, the value added of China's core digital economy industries accounts for over 18% of GDP, and the incorporation of data assets onto corporate balance sheets has transitioned from pilot testing to standard practice. However, the vast majority of Chinese enterprises remain in the early stage of data要素 transformation.

2. Survey participation benefits: Eligible participants who complete the survey by August 20, 2026 will receive three benefits: a free data competitiveness diagnosis, inclusion in the industry ecological map, and priority access to the final authoritative report. All survey data will be kept strictly confidential and used exclusively for research purposes.

This article outlines the latest policy developments and digital transformation trends for the consumer industry, and provides brands with a free channel to assess their data capabilities and gain industry credibility. It offers high reference value for brands pursuing digital upgrading.

1. Trend and requirement: Data has evolved from a corporate resource to an asset, and now to a form of capital, redefining the boundaries of business competition. To capture new growth dividends, brands must shift their mindset from "owning data" to "productizing data" and "monetizing data as assets". While putting data assets on balance sheets is now standard practice, most brands still operate at an early stage of transformation and urgently need to assess their current capabilities.

2. Available support: Core decision-makers of brands can participate in this survey to receive a free customized data competitiveness diagnosis based on a four-dimensional framework, which clearly identifies the brand's strengths and gaps. Participants also gain inclusion in the industry ecological map for authoritative exposure and credibility, priority access to the latest industry report, and insights into benchmark practices to support digital marketing and product R&D upgrading.

This article interprets the latest policies on China's data element sector for sellers, outlines new growth directions, and provides a channel for sellers to assess their capabilities for free and capitalize on emerging opportunities.

1. Policy and opportunity: 2026 is officially designated by the Chinese government as the "Year of Data Element Value Release", and deepening market-oriented reform of data要素 allocation is the top priority for the digital economy. Data assetization has become a new source of growth dividends, and putting data assets on corporate balance sheets is now standard practice. However, most sellers still have underdeveloped data capabilities, so early layout allows sellers to gain a first-mover advantage.

2. Benefits of participation: Core management or data leads at selling businesses can participate in the survey by August 20, 2026 to receive a free four-dimensional framework-based data competitiveness diagnosis, clarifying gaps in data acquisition, governance, application and compliance. Participants also gain authoritative industry exposure, priority access to the latest industry report to learn from benchmark practices. All individual corporate data is kept strictly confidential and will not be disclosed.

This article lays out a clear direction for factories advancing digital and data要素 transformation, and provides an opportunity to assess capabilities for free and connect with industry resources. It offers high reference value for factories adapting to digital development trends.

1. Transformation insights: China is vigorously advancing market-oriented reform of data要素 allocation, and the value added of core digital economy industries already accounts for more than 18% of national GDP. Data has become a new core factor of production. To capture new growth dividends, factories need to shift from simply collecting data to building data assets. Currently, most enterprises remain in the early stage of transformation, so assessing capabilities and closing gaps early allows factories to seize competitive advantages.

2. Available support: Factory founders, data or strategy leads can participate in this survey to receive a free customized data competitiveness diagnosis based on a four-dimensional framework, clarifying strengths and gaps in digital transformation. Participants also gain inclusion in the industry ecological map for exposure, and priority access to the authoritative report to learn from benchmark transformation practices, providing reference for advancing digital production and connecting with e-commerce channels.

This article sorts out industry development trends for data-related service providers and clarifies core customer pain points, offering high reference value for providers developing new business and designing customer solutions.

1. Industry development trends: 2026 has been designated by the Chinese government as the "Year of Data Element Value Release", and deepening market-oriented reform of data要素 allocation is the top task for digital economy development. The value added of China's core digital economy industries already accounts for over 18% of GDP, and incorporating data assets onto corporate balance sheets has transitioned from pilot testing to routine practice. The entire data element service market boasts broad growth space.

2. Core customer pain points: The vast majority of enterprises remain in the early stage of data要素 and asset transformation, and generally lack a scientific assessment framework to clarify their capability levels in data acquisition, governance, application, security and compliance. This has created strong demand for capability assessment and industry benchmarking.

3. By participating in the survey, service providers can grasp the latest industry trends and gain priority access to benchmark practice insights, enabling them to better develop targeted solutions that match customer demand.

This article sorts out the core demands of enterprises for data capability building, and provides clear reference for platform operators to layout related businesses and optimize operations management.

1. Core enterprise demands: With the deepening of market-oriented reform for data要素, incorporating data assets onto corporate balance sheets has become standard practice. The vast majority of enterprises remain in the early stage of data要素 transformation, and urgently need a scientific assessment framework to systematically evaluate their capabilities in data acquisition, governance, application, security and compliance. This helps enterprises clarify their positioning and gaps to meet competitive requirements in the AI era.

2. Insights for platform operations: Platform operators can layout related services centered on enterprise data capability assessment and data assetization transformation to meet the demands of a broad base of enterprises. They can also draw on the model of this survey to launch their own industry research activities, attract enterprise participation, enrich platform investment attraction and service content, help platform-based enterprises improve data competitiveness, mitigate data compliance risks, and strengthen the platform's overall competitiveness.

This article discloses the latest industrial trends in China's data要素 sector, identifies existing industry problems, and provides researchers with new research directions and a channel to access first-hand data.

1. Latest industrial trends: 2026 has been explicitly designated by the National Data Administration of China as the "Year of Data Element Value Release". The country is accelerating the construction of the "531" work system for market-oriented reform of data要素 allocation, and has named deepening this reform the top priority for 2026 digital economy development. Currently, the value added of China's core digital economy industries accounts for over 18% of GDP, and incorporating data assets onto corporate balance sheets has transitioned from pilot testing to standard practice.

2. New industry problems and research directions: The vast majority of enterprises still remain in the early stage of data要素 and asset transformation, and generally lack a scientific competitiveness assessment framework. EBang Think Tank has proposed a four-dimensional assessment framework for corporate data element competitiveness, and launched this national survey to compile an authoritative report. This industrial practice itself provides a research sample for the new model of industry development driven by industrial research. Researchers can encourage enterprises to participate to access first-hand research data.

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.

【亿邦原创】2026年,被国家数据局明确定义为 “数据要素价值释放年” 。今年以来,国家数据局紧扣这一部署安排,加快构建数据要素市场化配置改革“531”工作体系。与此同时,国家数据局印发《2026年数字经济发展工作要点》,提出8个方面重点任务,其中首位便是 “深化数据要素市场化配置改革” 。数据从“资源”到“资产”再到“资本”,正在重新定义企业的竞争边界。 然而,一个关键问题摆在每一位企业决策者面前——

我的企业,数据竞争力到底处在什么水平?

01|为什么要关注“数据要素竞争力”?

数据要素的价值,最终体现在其与传统生产要素配置后所创造的经济增量上。2026年中国数字经济核心产业增加值占GDP比重已突破18%,企业需从 “数据拥有” 转向 “数据产品化”“数据资产化” 以获取增长红利。

《企业数据资源相关会计处理暂行规定》实施两年来,数据资产入表从“试水”走向“常态化”。但是绝大多数企业仍处于数据要素化、资产化的初级阶段。

在这样的背景下,企业亟需一套科学的评估框架,来回答四个核心问题:

我的数据获取能力如何?

我的数据治理能力是否过硬?

我的数据应用能力能否支撑AI时代的竞争?

我的数据安全与合规情况能否支撑企业的长期持续发展?

这正是亿邦智库启动《企业数据要素竞争力报告》研究与本次调查的初衷。

02|关于《企业数据要素竞争力报告》

亿邦智库长期深耕数字经济与产业互联网研究,此前已正式启动 “2026数据要素竞争力领军企业深度访谈” 项目,旨在通过精准、深度的访谈,形成标志性成果,确立行业标杆,引领行动方向。

《企业数据要素竞争力报告》基于 “企业数据要素竞争力四维框架” ——数据获取力、数据治理力、数据应用力、数据安全力,对全国企业的数据要素竞争力水平进行系统性评估与分析,为行业发展提供权威参考。此次调研是为配合《企业数据要素竞争力报告》编制而开展的。

03|参与调研,三大权益等你解锁

为保障报告数据的广泛性与代表性,亿邦智库现面向全国企业开放问卷填写通道。

👇 填写问卷,即刻获得三大权益:

🔍 权益一:免费竞争力诊断

基于亿邦智库 “企业数据要素竞争力四维框架” (数据获取力·数据治理力·数据应用力·数据安全力),帮助企业对自身数据要素竞争力情况进行系统评估与对标。

填写问卷后,你将获得一份专属的企业数据要素竞争力自测反馈,清晰定位自身在行业中的位置、识别短板与优势——这是一次免费的“数据竞争力体检”。

📊 权益二:入选生态图谱

经企业确认后,公司名称将列入《企业数据要素竞争力报告》中的“企业数据要素生态图谱” 。

这是一次权威的行业曝光机会——你的企业将与各行业数据要素标杆企业一同出现在报告之中,获得来自亿邦智库的专业背书。

📄 权益三:优先获取报告

完成调研的企业,将优先获得《2026中国企业数据要素竞争力发展报告》电子PDF版,第一时间掌握行业数据要素竞争力的最新趋势与标杆实践。

04|谁应该参与?

本次调研面向全国各类企业开放,尤其欢迎以下角色参与填写:

企业创始人/CEO——从战略高度审视企业的数据竞争力

CDO(首席数据官)/CIO(首席信息官) ——一线掌舵企业数据能力建设

数据部门/IT部门负责人 ——深度了解企业数据治理与应用现状

战略发展/经营管理负责人 ——关注企业核心竞争力的构建与评估

无论你所在的企业处于数据要素化的哪个阶段——是刚刚起步,还是已经走在行业前列——你的参与都将使这份报告更加完整、更具参考价值。

05|如何参与?

填写方式: 点击本数据要素竞争力调查链接

截止日期:2026年8月20日

数据保密承诺: 所有调研数据仅用于研究分析,严格保密,不会对外披露任何企业个体信息。


文章来源:亿邦智库

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FAQ回顾

企业数据要素竞争力主要评估哪些维度?

企业数据要素竞争力可从四大维度评估,分别是数据获取力、数据治理力、数据应用力、数据安全力,该评估框架由亿邦智库推出,可帮助企业定位行业位置、识别自身数据能力的短板与优势。

参与亿邦智库2026企业数据要素竞争力调研有什么权益?

参与调研的企业可免费获得专属数据要素竞争力自测反馈,经企业确认后可入选《企业数据要素竞争力报告》的企业数据要素生态图谱获得权威背书,还可优先获取《2026中国企业数据要素竞争力发展报告》电子版。

2026年我国数据要素领域有什么重点政策部署?

2026年被国家数据局定义为“数据要素价值释放年”,国家数据局印发的《2026年数字经济发展工作要点》将深化数据要素市场化配置改革列为8个方面重点任务的首位,正加快构建数据要素市场化配置改革“531”工作体系。

哪些人员适合参与亿邦智库2026年企业数据要素竞争力调研?

本次调研面向全国各类企业开放,适合参与的人员包括企业创始人/CEO、CDO(首席数据官)/CIO(首席信息官)、数据部门/IT部门负责人、战略发展/经营管理负责人,无论企业处于数据要素化哪个阶段均可参与。

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