170
Austrian Research and Technology Report 2020
Federal Ministry for Transport, Innovation and Tech-
nology (BMVIT) – now the Federal Ministry for Cli-
mate Action, Environment, Energy, Mobility, Innova-
tion and Technology (BMK) – analysed various data
sources to identify some 600 companies in Austria
that are involved in AI issues. This means that only a
relatively small proportion of companies in the coun-
try overall (at least to the extent that can be verified
based on available data sources) are active in the AI
field.
The largest group (around one third) of these com-
panies are software developers and users of (propri-
etary) solutions as well as providers of relevant data
processing solutions (ranging from business intelli-
gence to imaging analysis in the medical industry),
often in combination with consulting services. Man-
agement and market consultants, most of whom de-
velop their own software and use it to analyse corpo-
rate data, stock market prices, etc., are also particu-
larly significant, making up around a quarter of all
companies identified as engaging in AI activities. In
some cases, analysing these companies’ customer
profiles reveals that they specialise in areas of
strength for Austria such as automotive and mechan-
ical engineering. Companies from the following eco-
nomic sectors are also relevant to Austrian AI activi-
ties: R&D (4% of companies identified), financial and
insurance services (also 4%), telecommunications
(2%), manufacturing (mechanical engineering, plant
engineering, automotive engineering, electrical equip-
ment, computers, pharmaceutical products, sensors,
etc.). Taken together, this last category accounts for
around 28% of the companies identified as undertak-
ing AI activities, with the most common segments
being computer manufacturing (around 7% of all AI
companies) and mechanical engineering (4%).
The greatest concentration of AI companies (i.e.
percentage share of all companies in the relevant
economic sector) can be found in the pharmaceuti-
cal products manufacturing segment (20%), oil pro-
164 See Schaper-Rinkel et al. (2019), Prem and Ruhland (2019).
165 See Seifert et al. (2018).
166 See Accenture (2019).
cessing (20%), insurance (8%) and the manufacture
of computers, electronic appliances and optical
products (4%). However, the first three of these sec-
tors are much smaller in terms of the number of
companies.
AI is a technology with the potential to find a use
in all sectors of the economy and all departments of
a company. As there are always question marks over
how fast innovation in the technology will progress,
the question of which precise niches and highly prom-
ising areas of application AI will occupy in future is
not that easy to answer. Nevertheless, there are some
clues in terms of subject areas and potential uses:
amongst others, these will be applications that [Aus-
trian] firms are already developing and/or have al-
ready launched or, as the case may be, various areas
in which growing potential for AI has been identified
and that also hint at possible future applications.
164
A German study analysing the extent to which AI
could accelerate annual growth in gross value added
in selected economic sub-sectors identified manu-
facturing as offering the most potential, followed by
agriculture and various services segments (financial
and insurance services, wholesale and retail, etc.).
Potential was regarded as relatively low in health
and social care, building and the education sector.
165
This finding very closely matches those made by
Prem and Ruhland (2019) for Austria, in which,
amongst other things, construction and healthcare
were also cited as sectors using no or only a few AI
applications. A further study, which considered the
potential impact of AI on economic sub-sectors in
Austria, highlighted those of goods manufacturing,
professional/technical services and wholesale/retail
as being capable of making a particularly strong con-
tribution to Austria’s future economic clout in 2035
thanks to AI.
166
The main motivation for companies in Austria to
use and/or develop AI for innovative products and
services lies above all in automating and optimising
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