UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 2 | February 2026

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Volume 13 Issue 2
February-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRHJ06037


Registration ID:
575008

Page Number

182-189

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Title

ARTIFICIAL INTELLIGENCE IN DATA ANALYSIS AND VISUALIZATION: ROLE, APPLICATIONS AND CHALLENGES

Abstract

The rapid growth of data in the digital era has created challenges for traditional methods of analysis and visualization, which often struggle to handle large, complex, and unstructured datasets. Artificial Intelligence (AI) has emerged as a transformative solution, enabling automated data processing, pattern recognition, predictive analytics, and intelligent visual representation. By integrating AI with data visualization tools, researchers and organizations can derive meaningful insights, communicate results effectively, and support informed decision-making. This study explores the role, applications, and challenges of AI in data analysis and visualization. The purpose of this study is to examine the role of Artificial Intelligence in data analysis and visualization. The study aims to highlight how AI enhances data processing, pattern recognition, predictive analytics, and intelligent visual representation to improve research quality, decision-making, and communication of insights. This study adopts a conceptual research approach, based on an extensive review of secondary sources. The study emphasizes understanding current trends, technological advancements, and practical implications of AI-driven analytics and visualization across various domains, providing a comprehensive overview for researchers and practitioners. The study finds that Artificial Intelligence significantly enhances data analysis and visualization by automating data processing, improving accuracy, enabling predictive analytics, and generating intelligent visual representations. AI-driven tools support research, business, healthcare, education, and public policy by providing timely insights and facilitating informed decision-making. Finally the Global Analytics Market Size grew and the percentage of companies using AI in data analysis increased rapidly.

Key Words

Artificial Intelligence (AI), Data Analysis, Data Visualization, Machine Learning, Predictive Analytics, Interactive Dashboards, Research Analytics, Intelligent Visualization.

Cite This Article

"ARTIFICIAL INTELLIGENCE IN DATA ANALYSIS AND VISUALIZATION: ROLE, APPLICATIONS AND CHALLENGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 2, page no.182-189, February-2026, Available :http://www.jetir.org/papers/JETIRHJ06037.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ARTIFICIAL INTELLIGENCE IN DATA ANALYSIS AND VISUALIZATION: ROLE, APPLICATIONS AND CHALLENGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 2, page no. pp182-189, February-2026, Available at : http://www.jetir.org/papers/JETIRHJ06037.pdf

Publication Details

Published Paper ID: JETIRHJ06037
Registration ID: 575008
Published In: Volume 13 | Issue 2 | Year February-2026
DOI (Digital Object Identifier):
Page No: 182-189
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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