We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Data Analysis Software.
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Data Analysis Software Product List and Ranking from 26 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Sep 03, 2025～Sep 30, 2025
This ranking is based on the number of page views on our site.

Data Analysis Software Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 03, 2025～Sep 30, 2025
This ranking is based on the number of page views on our site.

  1. ヒューリンクス Tokyo//software
  2. アスペンテックジャパン/AspenTech Tokyo//software
  3. エラブジャパン Tokyo//Industrial Electrical Equipment
  4. 4 CrowdChem Tokyo//others
  5. 5 アジレント・テクノロジー株式会社 Tokyo//Testing, Analysis and Measurement
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Data Analysis Software Product ranking

Last Updated： Aggregation Period:Sep 03, 2025～Sep 30, 2025
This ranking is based on the number of page views on our site.

  1. Process data analysis software Aspen ProMV アスペンテックジャパン/AspenTech
  2. Data analysis software "ValSuite" エラブジャパン
  3. CrowdChem Data Platform CrowdChem
  4. 4 Rich analysis features and graph creation 'Igor Pro' ヒューリンクス
  5. 4 Measurement Data Analysis Software 'FlexPro' ヒューリンクス

Data Analysis Software Product List

46～57 item / All 57 items

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Deep Learning Applications for Communications and Radar

Deep Learning Applications for Communications and Radar

This explains how to apply deep learning and machine learning techniques to modulation identification and target classification in communication applications.

MATLAB can be used for modulation identification and target classification, as well as for communication applications. The white paper explains the following: 【Contents】 - Synthesizing radar and communication waveforms for labeling - Generating radar signals for moving objects - Training deep networks with synthetic data - Waveform modulation ID and target classification using deep learning and machine learning - Testing the system with data collected from software-defined radio and radar systems

  • simulator

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Big data analysis software

Big data analysis software

Attention those troubled by many defects! AI will solve your big data issues.

We offer a "big data analysis software" that identifies the causes of defects. We have extensive know-how from practical use in the field. We also have improvement case studies in injection molding. For those struggling with defects, our solution can be utilized across various industries, so please feel free to contact us. 【Features】 ■ Identification of defect causes ■ Contribution to reducing defect rates *For more details, please refer to the related links or feel free to contact us.

  • Other information systems

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CrowdChem Data Platform

CrowdChem Data Platform

We provide insights and knowledge in the field of chemistry based on data collected independently.

We are developing the 'CrowdChem Data Platform', which adds functionalities (such as machine learning) to data collected from patent information and catalog information. This platform aims to solve the challenges faced by development and sales personnel at manufacturers, and some features are available for free. Additionally, it enables smooth selection of raw materials and customer exploration through uniquely collected data, data analysis functions, and text mining. 【Benefits of Implementation】 ■ Information can be searched from highly comprehensive data ■ Raw material selection and customer selection can be done on the platform ■ New applications and effects of raw materials can be obtained *For more details, please download the PDF or feel free to contact us.

  • Other production and development software and systems

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Contract development supports data analysis and analysis for the development of ADAS, OTA, and more!

Contract development supports data analysis and analysis for the development of ADAS, OTA, and more!

Analyze and evaluate development data! We support feedback for design. We also implement proposals for improving business workflows!

We provide engineering services related to the analysis and interpretation of development data in automotive OEM development. Our company has a strong background in evaluating key in-vehicle technologies (OTA, cybersecurity, in-vehicle communication (CAN/Ethernet), diagnostics, etc.). We conduct everything from scenario planning to evaluation environment setup to evaluation (xILS, actual equipment) in a one-stop manner! We not only assess the quality of evaluation results in development but also address compliance with regulations and propose improvements for the efficiency and automation of analysis and interpretation tasks. 【Features】 ■ Responsible for data analysis/interpretation of numerous functions - Evaluation data analysis for ADAS development - Evaluation data analysis for OTA development - Evaluation data analysis for AD (autonomous driving) functions - Analysis of evaluation results for in-vehicle communication functions ■ Tools and software used for measurement/analysis/interpretation - Panel4 - QGIS - DBeaver ■ Implementing improvement proposals based on analysis/interpretation results - Efficiency improvements for testing/analysis/interpretation - Automation of testing/analysis/interpretation - Improvements in analysis processes and methods *For more details, please refer to the materials or feel free to contact us.

  • Embedded system design service
  • Other analysis and evaluation services
  • Business Intelligence and Data Analysis

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Easy NGS raw data secondary analysis tool that requires no specialized knowledge.

Easy NGS raw data secondary analysis tool that requires no specialized knowledge.

Easy NGS analysis, including RNA-seq, mutation analysis, and microbiome analysis, can be performed with a single tool using only software screen (GUI) operations.

QIAGEN CLC Genomics Workbench (CLC GWB) enables secondary analysis of NGS data through GUI (Graphical User Interface) operations only. When using free tools for analysis, constructing complex analysis workflows often requires expertise in bioinformatics and does not cater to diverse analysis purposes. CLC GWB is a tool that allows for NGS data analysis for various purposes without the need for command line usage or coding. With CLC GWB, users can perform diverse analyses such as RNA-seq, mutation analysis, and microbiome-related analyses through similar GUI operations, making it easy to learn new analytical methods. Users can freely change the reference sequences used for analysis, and they are not troubled by the compatibility of the various tools that make up the workflow. These features explain why CLC GWB is used not only in medical biology research but also in the quality control of biopharmaceuticals. 【Features】 ■ Diverse NGS secondary analysis through GUI operations ■ NGS secondary analysis for various purposes ■ High extensibility with paid and free plugins ■ Usable by wet researchers

  • Bioinformatics

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[Webinar] Providing Appropriate NMR Data Processing and Predictions for Chemists

[Webinar] Providing Appropriate NMR Data Processing and Predictions for Chemists

Make NMR data analysis more efficient! In the webinar, we will clearly introduce how to use Mnova NMR.

We will hold a webinar titled "Smart and Powerful NMR Analysis Software Mnova: The Optimal NMR Data Processing and Prediction for Chemists." Learn tips for processing and analyzing spectra, and experience how easy it is to predict spectra from chemical structures using Mnova NMRPredict. This is recommended for those who want to improve the accuracy of their research or are looking for new tools. Please feel free to join us. 【Date and Time】 ■ August 7, 2025 (Thursday) ■ 16:00-16:30 *For more details, please refer to the related link or feel free to contact us.

  • Technical Seminar

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QIAGEN IPA supports the understanding of the molecular mechanisms of phenomena with the power of knowledge.

QIAGEN IPA supports the understanding of the molecular mechanisms of phenomena with the power of knowledge.

Support for constructing molecular mechanism hypotheses related to pathology, pharmacology, and developmental differentiation; prediction of important molecules that can be experimentally validated; utilization of a knowledge base accumulated over more than 25 years through human effort.

QIAGEN Ingenuity Pathway Analysis (IPA) is a web-based software that supports the biological interpretation of omics data obtained from transcriptome and proteome analyses. By utilizing a knowledge base curated manually for over 25 years, the analysis can infer the roles of important proteins and their activation states from information that is not closely related to protein activity, such as gene expression variations, thereby supporting the construction of testable molecular mechanism hypotheses. Additionally, leveraging the results of pre-analysis of vast omics data from public repositories in IPA allows for the automatic evaluation of similarities between one's own IPA analysis results and unexpected IPA pre-analysis results, supporting the development of new hypotheses. **Features** - Utilization of a high-quality manually curated knowledge base - Easy use of vast omics data from public repositories for hypothesis generation - Lexical use of the knowledge base - No specialized IT knowledge required with a web-based tool - Highest citation count for a paid interpretation tool (as of September 2024)

  • Bioinformatics

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QIAGEN CLC Genomics Workbench

QIAGEN CLC Genomics Workbench

Easy NGS analysis, including RNA-seq, mutation analysis, and microbiome analysis, can be performed with a single tool using only software screen (GUI) operations.

QIAGEN CLC Genomics Workbench (CLC GWB) enables secondary analysis of NGS data through GUI (Graphical User Interface) operations only. When using free tools for analysis, constructing complex analysis workflows often requires expertise in bioinformatics and does not cater to diverse analysis purposes. CLC GWB is a tool that allows for NGS data analysis for various purposes without the need for command line usage or coding. With CLC GWB, users can perform a variety of analyses such as RNA-seq, mutation analysis, and microbiome-related analyses using similar GUI operations, making it easy to learn new analytical methods. Users can freely change the reference sequences used for analysis and are not troubled by the compatibility of the various tools that make up the workflow. These features explain why CLC GWB is used not only in medical biology research but also in the quality control of biopharmaceuticals. 【Features】 ■ Diverse NGS secondary analysis through GUI operations ■ NGS secondary analysis for various purposes ■ High extensibility with paid and free plugins ■ Usable by wet researchers

  • Bioinformatics

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