2026 Digital Human E-Commerce Livestreaming White Paper

In April 2026, JD.com (京东) and iResearch Consulting (艾瑞咨询) jointly released the 2026 Digital Human E-Commerce Livestreaming White Paper (2026数字人电商直播白皮书), a fifty-five-page assessment of how AI-generated presenters are reshaping the economics of online retail in China. Unveiled at the 2026 JD Service Provider Ecosystem Partner Conference (2026京东服务商生态伙伴大会) in Beijing on April 22, the document frames digital human livestreaming as a maturing new productive force (新质生产力) rather than a frontier experiment, positioning the technology as the principal lever by which merchants can move from traffic-driven operations (流量运营) toward user-value operations (用户价值运营).

The white paper situates livestreaming as the critical scene connecting people, goods, and place (人、货、场), and argues that the intelligent upgrade of this scene has become the determining factor for merchant competitiveness. Its core conceptual move is to recast the digital human not as a presenter but as an AI-driven, reusable brand digital asset, an entity that can be deployed across channels, refreshed with new product knowledge, and operated continuously without the throughput limits of human anchors. Under this framing, the value proposition shifts away from the cost arbitrage of replacing on-camera labor and toward the construction of a persistent, programmable interface between brand and consumer.

The market context supporting these arguments is substantial. The broader Chinese livestream e-commerce market reached 5.7864 trillion yuan in 2024 and is projected to exceed 7.8 trillion yuan by 2026, with a compound annual growth rate that has remained above twenty percent across the 2021 to 2026 window. The AI digital human segment within this landscape has grown far more quickly, expanding by 85.3 percent year on year in 2024, with more than 1.14 million enterprises now active in some form of deployment. The global market for digital human e-commerce livestreaming, encompassing both Chinese and international platforms, is forecast to climb from approximately 11.69 billion US dollars in 2021 to roughly 76.79 billion US dollars in 2026, an expansion implying a compound annual growth rate above forty percent.

The white paper structures the industry's evolution into four phases: technology budding, initial exploration, rapid growth, and regulated commercial application. By the publication's account, the sector entered its compliance and standardization period in 2025, a transition that has reshaped competitive dynamics by favoring platforms capable of supplying not only models but also governance scaffolding. Within this environment, JD.com and Taobao/Tmall (淘宝/天猫) have consolidated the first tier of platform competition through divergent strategies. JD has pursued aggressive openness, announcing in December 2025 that digital human livestreaming would be made free to all merchants on the platform, an offer that drew more than ten thousand merchants in its first ten days. Taobao and Tmall have moved in the opposite direction, concentrating on technical standardization and full-chain compliance governance as the basis for sustained merchant trust.

JD's own infrastructure is treated as an illustrative case. The platform's JoyStreamer self-developed large model powers a category the white paper terms free-form digital humans (自由态数字人), supporting one-click broadcasting and rapid replication of trained presenters across product lines. This stack is delivered to merchants through the Jingmai Service Market (京麦服务市场), which has provided full-chain digital human services to more than seventy thousand merchants. Deployments at Lenovo (联想) and Dong-E E-Jiao (东阿阿胶) are cited as examples in which the technology produced simultaneous cost reduction and gross merchandise volume growth, a pairing that the white paper treats as the empirical foundation for its productive-force thesis.

Looking forward, the white paper anticipates that digital human livestreaming will migrate into the era of intelligent agents, organized around four convergent trends. The first is thousand-faces interaction (千人千面交互), in which agents tailor pitch and persona to individual viewers in real time. The second is autonomous decision-making, by which agents independently adjust pricing, promotion, and product emphasis based on live performance signals. The third is product-driven innovation, where agent capabilities feed back into the design of new merchandise and service categories. The fourth is the transformation of ecosystem compute power, in which the underlying infrastructure shifts to support persistent agent operation at scale. Taken together, these trajectories are presented as a coming reconstitution of the e-commerce livestreaming industrial chain.

The white paper closes on a position that runs counter to much of the surrounding commercial discourse. Rather than positioning digital humans as substitutes for human anchors, it argues for human-machine collaboration (人机协同) as the durable operating model, with the GROW growth framework serving as the practical scaffolding by which merchants integrate the two modes. The combined message is that digital human livestreaming has graduated from speculative technology into standard infrastructure, and that the competitive question facing merchants is no longer whether to adopt the format but how to operate it within a regulated, agent-enabled ecosystem.