The Intelligence Transformation Index explores the usage of Artificial Intelligence, Internet of Things and big data analysis by businesses across 33 countries. As part of the study, a survey of businesses in China was conducted to compare the world’s second largest economy with its OECD peers.
Key findings of the report include:
- Small, advanced and open economies, such as those in northern and western Europe, generally show higher rates of digital intelligence adoption. It is likely that forward-looking policies that aim to promote trust and transparency in data usage also play a role.
- The information and communications technology (ICT) services sector generally leads countries’ digital intelligence adoption, but a high-performing ICT sector does not automatically lead to a high level of adoption in non-ICT sectors. Ensuring adequate diffusion of technologies to non-ICT sectors should form part of national digitalisation strategies.
- Less digitalised sectors such as retail, accommodation, food service and construction account for the greatest cross-country differences in digital intelligence adoption. Differences in the average size of firms in these sectors play a key role, as larger firms have greater absorptive capacity for new technologies. For example, countries with a more consolidated retail sector tend to have higher adoption rates.
- Of the three technologies studied (big data, AI and IoT), AI shows the lowest level of adoption and the most variation across countries. IoT is the most adopted technology—it currently has the most general use cases that are deployable across a range of sectors. We observed a noticeable gap dividing high- and low-adoption countries in big data, but its causes remain mysterious.
- High-speed broadband, cloud computing infrastructure, ample supply of data and availability of skilled ICT workers are the key factors associated with countries with high levels of digital intelligence adoption.