List of SAP AI Business Services Customers

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
Aspen Pumps Manufacturing 122 $50M United Kingdom SAP Legacy SAP AI Business Services Intelligent Process Automation 2022 n/a
NHK Spring Thailand Manufacturing 5800 $895M Thailand SAP Legacy SAP AI Business Services Intelligent Process Automation 2016 n/a
Schwarzkopf & Henkel Production Europe & Co.Kg Oil, Gas and Chemicals 1075 $400M Germany SAP Legacy SAP AI Business Services Intelligent Process Automation 2025 n/a
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Buyer Intent: Companies Evaluating SAP AI Business Services

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FAQ - APPS RUN THE WORLD SAP AI Business Services Coverage

SAP AI Business Services is a Intelligent Process Automation solution from SAP.

Companies worldwide use SAP AI Business Services, from small firms to large enterprises across 21+ industries.

Organizations such as NHK Spring Thailand, Schwarzkopf & Henkel Production Europe & Co.Kg and Aspen Pumps are recorded users of SAP AI Business Services for Intelligent Process Automation.

Companies using SAP AI Business Services are most concentrated in Manufacturing and Oil, Gas and Chemicals, with adoption spanning over 21 industries.

Companies using SAP AI Business Services are most concentrated in Thailand, Germany and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of SAP AI Business Services across Americas, EMEA, and APAC.

Companies using SAP AI Business Services range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 66.67%, and global enterprises with 10,000+ employees - 0%.

Customers of SAP AI Business Services include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified SAP AI Business Services customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Intelligent Process Automation.