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Growth Pattern and Trends in Startup Funding in India
Madhusudan Narayan1, Birajit Mohanty2, Mahesh Kumar3

1Madhusudan Narayan, Research Scholar, Department of Business Administration, Manipal University, Jaipur.
2Dr. Birajit Mohanty Associate Professor, Faculty of Management & Commerce, Manipal University Jaipur.
3Mahesh Kumar, Research Scholar in Department of Business Administration, Manipal University, Jaipur. 

Manuscript received on September 18, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3721-3724 | Volume-8 Issue-12, October 2019. | Retrieval Number: L26541081219/2019©BEIESP | DOI: 10.35940/ijitee.L2654.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper presents the trend and growth pattern of startup ventures, their types and different stages of funding in India. The prime objective of this research was to study growth pattern of the startups and stages of funding received by these startups. The analysis has shown Indian start-up companies prefer primarily funding in four different stages, such as early stage, growth stage, expansion stage and bridge funding. The result has also shown that maximum funding was received in the expansion stage in the financial years. Bridge funding is becoming more and more prevalent, almost 10 per cent of deals. Further, it is noticed that the entrepreneurs find financial support from other funding sources, after the initial experimental phase. The results of chi-square test revealed that there is no significant association between stages of funding and level of development of startup. Further, the test also revealed no significant association between financing methods and professional qualification of promoters of startup.
Keywords:  Startup Companies, Early Stage, Growth Stage, Expansion Stage, Bridge Funding, etc.
Scope of the Article: Algorithm Engineering