International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Empower Startups Through Using Artificial Intelligence for Market Analysis
| Author(s) | Ms. Smita Paul, Mr. Kumud Ranjan |
|---|---|
| Country | India |
| Abstract | In the dynamic and increasingly competitive world of entrepreneurship, startups face the dual challenge of understanding market complexities and anticipating consumer needs. To thrive in this business landscape, startups need to leverage every available advantage. Nowadays artificial intelligence (AI) is at the forefront of revolutionary technological advancement, offering powerful tools for gaining deep market understanding and actionable insights. This chapter explores how AI services empower startups by enhancing their market analysis capabilities. This chapter delves into how AI enables startups to conduct comprehensive market research, predict trends, and gain valuable consumer insights. By leveraging AI, startups can make informed decisions, develop more targeted strategies, and ultimately secure a competitive edge in their industry. Additionally, this chapter provides a comprehensive overview of the various AI techniques available for market analysis. This chapter also discusses the challenges and ethical consideration associated with AI, offering practical solutions for startups to overcome these hurdles. Through actionable insights, this chapter provides a roadmap for startups to fully utilize the potential of AI in their market analysis efforts. |
| Keywords | Artificial Intelligence, Data Mining, Big Data Analytics, Market Research, Startups, Natural Language Processing, Sentiment Analysis, Machine Learning |
| Field | Sociology > Economics |
| Published In | Volume 7, Issue 5, September-October 2025 |
| Published On | 2025-09-23 |
| DOI | https://doi.org/10.36948/ijfmr.2025.v07i05.56453 |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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