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In this paper, the authors are exploring emerging trends in data utilising longitudinal analysis.Longitudinal studies are typically observational studies wherein a participant's outcomes, and possible treatments or exposures, are collected at multiple times on the same individual. These studies have no limit on the timespan and as such, can last up to several decades. Though shorter time frames are not recommended, the key is for the study to extend beyond a singular time point, ideally three or more[1]. Conducting longitudinal studies are beneficial as it allows one to follow subjects in real time, which allows researchers to have a better understanding of the sequence of events[1].

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Economic development theorists ((Schumpter 1942), (Romer, 1994), (Solow, 1956)) have established the theoretical constructs of scientific and technological developments as foundations to innovative solutions in the form of products, processes and services to long-term socio-economic development and prosperity to high-end economies around the world. It is through the pervasiveness of these innovations within markets which then spurs a sustainable social transformation and long term economic growth within nations.

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