List of KNIME Customers

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
Lowe’s Home Improvement Retail 300000 $96.3B United States KNIME Alteryx Analytics Cloud KNIME ML and Data Science Platforms 2019 n/a
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Buyer Intent: Companies Evaluating KNIME

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating KNIME. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating KNIME for ML and Data Science Platforms include:

  1. Rabot Energy, a Germany based Utilities organization with 106 Employees
  2. Eugesta Estonia, a Estonia based Distribution company with 174 Employees
  3. Samaritan’s Purse, a United States based Non Profit organization with 2000 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
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FAQ - APPS RUN THE WORLD KNIME Coverage

KNIME is a ML and Data Science Platforms solution from KNIME.

Companies worldwide use KNIME, from small firms to large enterprises across 21+ industries.

Organizations such as Lowe’s Home Improvement are recorded users of KNIME for ML and Data Science Platforms.

Companies using KNIME are most concentrated in Retail, with adoption spanning over 21 industries.

Companies using KNIME are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of KNIME across Americas, EMEA, and APAC.

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

Customers of KNIME 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 KNIME customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.