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Objective: To analyze the scientific production related to the market performance in the high-tech market from 1997 to 2019. Method: Bibliometrics and systematic review methodologies were used. The search process was performed in the Web of Science and SPELL databases and resulted in the selection of 23 articles within the defined scope, among 82 studies. The selected studies were analyzed through descriptive statistics, Descending Hierarchical Classification (DHC) and Corresponding Factor Analysis (CFA). Results: The results point to recent interest in measuring performance in the hightech market, especially in emerging markets such as Taiwan and China, with the use of multidimensional indicators of a financial and non-financial nature. Through the DHC and CFA analyses, we have been able to observe four Classes - 'Internal Abilities', 'Alliances', 'Downstream Focus' and 'Upstream Focus' - and these dominant areas indicate the interest associated with market performance in the high-tech market. Originality/relevance: The study innovates by proposing a protocol to perform textual analysis of scientific articles with the aid of Iramuteq software, enabling the identification of different approaches of the studies and grouping by similarities. Contributions: We propose an agenda for future studies based on the results and gaps about performance and indicators used by companies in the high-tech market. From the managerial point of view, it is noteworthy that the most used indicators in this market are sales, market share and new product performance. [ABSTRACT FROM AUTHOR]