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Digitalization and informatization bring changes to the way government authorities, regulatory bodies and state departments distribute welfare, maintain security and collect taxes. The acceleration of these changes is provided by GovTech development, which brings the opportunity not only to deliver services better and faster and improving outcomes but also to reduce costs, minimize the number of mistakes, become more flexible in the face of uncertainty by experimenting with different policy options and accelerate socioeconomic development.

Deep Knowledge Analytics GovTech Division is researching the trajectory of the GovTech industry by focusing on factors driving the ongoing transformation of a state, main sectors to be changed, barriers to this process and ways to overcome them. It also provides information on the main types of technologies used by GovTech including blockchain, AI and machine learning, IoT, robotic automation, and geospatial data analysis, with emphasis on the best examples of their implementation including decrease of time and complexity in public-private information exchanges, reduction of bureaucracy and corruption, improvement in automation, transparency, and accountability of information.

By analyzing current technological and media trends in GovTech, presenting the overview of e-government and GovTech development models, and highlighting the barriers in the way of GovTech adoption the Deep Knowledge Analytics GovTech Division is able to identify the key drivers of GovTech transformation in developed and developing countries, pick out the state, business and citizens benefits, and offer recommendations considering what has to be done to develop a healthy ecosystem for efficient collaboration between government and GovTech firms.

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