# Artificial Intelligence Software Adoption in Manufacturing Companies
## 4 Results  
### Descriptive Statistics  
The study analyzed data from a sample of 386 manufacturing companies: 138 from Croatia, 102 From Slovakia and 146 from Slovenia. We begin by presenting the share of users of specialized software (SW) and AI in each production area and share of AI users in the overall sample. SW for process management is at the top with a share of 55.7% of companies, but only 14.4% of these users use AI. In the overall sample, only 8% of all companies in our sample use AI for the management of production processes. In the area of quality control, the share of companies using any type of SW is around 40%, while the share of AI users is the second highest at 22%. Overall, this area has the largest share of AI users in the entire sample at 8.8%. The areas of maintenance and internal logistics have a similar share of SW users, but with a share of 20.4%, maintenance has a larger share of AI users than internal logistics, where only 14.6% of users of SW for internal logistics use AI. The areas of energy management and improvement or innovation have the lowest share of SW users. While the share of users of SW for energy management (22.8%) is slightly higher than the share of users of SW for improvement or innovation (19.4%), the proportion of AI users is slightly higher for the latter (22.7%). In the overall sample, 4.4% of companies use AI for improvement or innovation, and AI is least used for energy management. Overall, 18.4% of companies in our total sample use AI software in at least one area of production and can therefore be classified as AI users. The following Table 2 shows a breakdown of AI users in the individual production areas. Next, the companies were analyzed based on their size and AI usage. In this analysis, the information on company size was incomplete for two respondents, so they had to be excluded. In total, there were 112 small companies, 195 medium-sized companies and 77 large companies. Medium-sized companies make up half of the companies in our sample, followed by small companies, which make up about 30% of our sample, and large companies, which make up 20% of our sample. Regarding the use of AI, almost 25% of large companies use AI in at least one area of production, while only 18% of medium and 15% of small companies use AI. A detailed breakdown of the results in terms of company size and AI usage can be found in Table 3.  
The distribution and share of companies were then examined on the basis of their role and AI usage. Overall, suppliers account for 30%, OEM producers account for 64%, and companies that are both suppliers and OEM producers account for 5% of the companies in our sample. When analyzing the share of AI users across the three categories, we found that 20% of suppliers, 17% of OEM producers, and 19% of both suppliers and OEM producers use AI in at least one area of production. A detailed breakdown of the company role and the share of AI users can be found in Table 4.  
Next, the respondents were divided into different categories of technology intensity and AI usage. The majority of respondents fall into the medium to low technology intensity group. They make up around 43% of respondents, while the low technology group accounts for 27%. Together, they represent around 70% of all companies in the sample. The medium to high technology group represents around 24% of respondents. The lowest number of respondents falls into the high technology group, which accounts for only 6% of all respondents. While the high technology group represents the smallest share of companies, it has the largest share of AI users. Around 30% of companies in this category use AI in at least one area of production. This is followed by the medium-low technology group, in which almost 19% of companies use AI. The share of AI users in the \"medium-high\" group