An assessment of the economic sectors needs for the solutions based on end-to-end technologies (E2ET) using the Technology readiness level (TRL) and Manufacture readiness level (MRL) metrics has been carried out. The created “E2ET-needs map” matrix shows the needs of nine sectors of the economy in nine blocks of E2ET. It reflects the priorities of the required state support for the development of E2ET in the different economy sectors. It was considered that each block of E2ET includes dozens of sub-technologies. A 3-level tree of about 30 needs assessment criteria were built. Given the presence of many non-quantitative factors that characterize the E2ET-needs the author’s convergent approach including the cognitive modelling and network expertise (e-Expertise) technology was applied. The approach is based on the combination of methods of inverse problems solving on topological spaces, controllable thermodynamics, and category theory. For synthesis and verify cognitive models and the reliability of the experts’ work the Big Data analysis was exploited. Domestic databases of media publications were used as verification arrays. The approach ensures the creation of the necessary conditions for achieving the strategic goals of the development of the digital economy in Russia using the E2ET. The rules of regulation of the annual monitoring of the E2ET needs under consideration were proposed