Energy consumption during production processes in the industry is a main source of carbon dioxide emissions. Therefore, for China’s dual-carbon goals, industrial enterprises need to focus on reducing energy waste to achieve energy-efficient production, thereby effectively reducing carbon emissions in industrial production. In recent years, with the continuous development and popularization of digital technology, digital energy management systems have played a crucial role in energy saving by visualizing invisible energy in the industry. In this context, this study first analyses the current status of digital energy management system applications in the UK, the US, Germany, and Sweden, summarizes their characteristics and conditions, and compares the differences between China’s energy management system development and other countries’. Furthermore, this study explores the challenges faced by the government, technology, and enterprises in promoting the deployment of energy management systems in Chinese industrial enterprises. Next, the study proposes to analyse energy consumption from the perspective of product rather than factory, production lines, or machines. The concept of “unit product energy consumption label based on production steps” is defined, and a methodological framework for digital energy consumption data analysis based on this label is constructed. This study further discusses the roles of the major stakeholders, including governments, enterprises, digital energy management system technology providers, certification bodies, etc., in achieving standardization and unified analysis of energy consumption labels and puts forward suggestions for the government to develop digital energy management systems in the industry to reduce carbon emissions. The suggestions include: continuing to promote the construction of energy management systems in enterprises; continuously supporting the cooperative development among various stakeholders; gradually determining energy consumption benchmarks by product and production steps; and actively leading enterprises to benchmark industry best practices.