Digital Infrastructure - Norway

The digital and connectivity indicator domain is a rapidly evolving sector that plays a pivotal role in assessing and monitoring the digital transformation of societies and economies worldwide. Various regions and countries are at different stages of development in terms of digital infrastructure, connectivity, and technological advancements. Developed regions such as North America, Western Europe, and parts of Asia showcase robust digital ecosystems, advanced connectivity, and high adoption rates of digital technologies. However, developing regions are catching up, driven by initiatives to bridge the digital divide and enhance digital inclusion. In terms of its structure, this domain exhibits a diverse landscape with several players, including telecommunications companies, technology providers, and digital service providers. Market leaders emerge in specific segments, but competition is intense as organizations strive to innovate and capitalize on emerging digital trends.

The digital and connectivity indicator domain faces numerous challenges that influence its growth and potential. One significant challenge is navigating the complex regulatory landscape. Regulations and policies related to data privacy, cybersecurity, and digital infrastructure vary across countries and regions. Compliance with these regulations is essential but can pose hurdles for market participants operating in multiple jurisdictions. Moreover, trends in the digital and connectivity indicator domain revolve around key areas such as 5G technology, Internet of Things (IoT) applications, cloud computing, artificial intelligence (AI), and data analytics. These trends shape the market by driving innovation, enhancing connectivity, and transforming industries. Current topics of interest include data governance, digital inclusion, cybersecurity, and ethical considerations in the use of emerging technologies. These topics influence market dynamics, investments, and strategic decision-making in the digital and connectivity domain.

The COVID-19 pandemic has had a profound impact on the digital and connectivity indicator domain. The crisis has accelerated the adoption of digital technologies and connectivity solutions, as businesses, governments, and individuals relied heavily on digital platforms for remote work, telehealth, e-commerce, and virtual communication. This increased reliance on digital infrastructure highlighted the importance of robust connectivity and digital readiness. Looking ahead, the future of the digital and connectivity sector is promising. Technological advancements, such as the rollout of 5G networks, continued expansion of IoT applications, and advancements in AI and data analytics, will shape the market. The focus on digital inclusion and bridging the digital divide will gain prominence, ensuring equitable access to digital technologies and connectivity. Additionally, regulatory frameworks will continue to evolve to address emerging challenges in data privacy, cybersecurity, and digital governance, providing a conducive environment for market growth and innovation.

Data coverage:

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.

Modeling approach:

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.

Forecasts:

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.

Additional notes:

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.