The Digital & Connectivity Indicators refer to the various technology-related and digital indicators of a country. It provides a comprehensive look at past, current, and anticipated technological developments and digital transformations in a global comparison. These indicators are helpful for understanding scientific and technological advancements as well as making both short- and long-term business and policy decisions.
The Digital & Connectivity Indicators cover four focus areas:
The Digital Infrastructure focus area includes the number of secure internet servers, information & communication technologies (ICT), and the coverage of 3G and 4G networks. The Server Security chapter reports the number of distinct, publicly trusted TLS/SSL (Transport Layer Security / Secure Socket Layer) certificates per one million people of a country's population as a key performance indicator. The ICT chapters show the export values of ICT services per capita and consumer spending on ICT products, both at the current value of the US$.
The Internet focus area reports internet users in numbers, penetration as a percentage, and connection speed in Mbit/s as key performance indicators.
The Telecommunications focus area shows the overall number of landline or mobile subscriptions and the number of subscriptions per 100 people within a population.
The Banking focus area shows the percentage of the population that owns a banking account or card.
The global assessment of digital and connectivity indicators reveals varying levels of development across regions. While developed regions such as North America, Western Europe and parts of Asia boast robust digital ecosystems and high rates of technology adoption, many developing regions lag behind. In this diverse landscape, telecommunications and technology providers are engaged in intense competition, which is driving innovation. Key market trends include the development of 5G, IoT, cloud computing, AI, and data analytics. The COVID-19 pandemic has accelerated the adoption of digital technologies for remote work, telemedicine, and e-commerce, underscoring the critical need for reliable connectivity. The future outlook revolves around the expansion of 5G, advances in IoT, and innovations in AI, which are having a significant impact on the digital sphere. This dynamic landscape underscores the sector's pivotal role in shaping global societies and economies, reflecting the ever-evolving nature of digital transformation.
The dataset encompasses data from 152 countries. The charts depict the situation of each country in six different domains. These domains are socioeconomic indicators, macroeconomic indicators, health indicators, digital and connectivity indicators, consumption indicators, as well as logistics and transport indicators. Within these domains, various segments are covered, including demography, economic measures, economic inequality, employment, consumption, health determinants, and much more.
The composition of each domain follows a comprehensive approach that combines both top-down and bottom-up methodologies, with each domain and segment being guided by a specific rationale. To evaluate the situation of these six domains within each country, we rely on pertinent indicators and data from reputable international institutions, local national statistical offices, industry associations, and leading private institutions. Additionally, we undertake data processing procedures to address issues such as missing timelines, outliers, and data inconsistency. Our data processing incorporates advanced statistical techniques, including interpolation, exponential moving weighted average, and the Savitzky-Golay filter. These methods contribute to the refinement and enhancement of data quality.
In our forecasting process, a wide range of statistical techniques is utilized based on the characteristics of the markets. For example, the S-curve function is employed to forecast the adoption of new technology, products, and services, aligning the forecast model with the theory of innovation adoption. Additionally, the data is forecasted using ARIMA with and without seasonality considerations, exponential trend smoothing, and the Compound Annual Growth Rate (CAGR), with the option to incorporate adjustment factors when necessary. These techniques enable accurate and reliable forecast methods tailored to the unique characteristics of the data in each market and country.
The data is updated twice per year or every time there is a significant change in their dynamics. The impacts of the COVID-19 pandemic and of the Russia/Ukraine war are considered at a country-specific level.
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