• Mallieswari R
• Nirmal Kumar
• Niharika Mishra
• Jayashree Kowtal

The adoption of 3D printing technology is of paramount importance due to its transformative impact across various aspects. Firstly, it revolutionizes the manufacturing process by enabling rapid prototyping, increased design flexibility, and reduced waste, resulting in improved operational efficiency and cost savings. The ability to quickly create prototypes and iterate designs significantly accelerates product development cycles. Additionally, the customization capabilities of 3D printing empower individuals and organizations to bring their ideas to life, fostering innovation and creativity. Moreover, 3D printing offers significant environmental benefits compared to traditional manufacturing methods. It reduces waste by minimizing material usage and enables more precise manufacturing, leading to reduced energy consumption. This aligns with sustainability goals and contributes to a greener future. The adoption of 3D printing technology also enhances market competitiveness, revenue growth, and brand positioning for industries that embrace its capabilities. The ability to produce complex and customized products on demand provides a competitive edge in meeting consumer needs. By embracing 3D printing, companies can differentiate themselves, improve customer satisfaction, and expand their market share. This research explores the adoption of 3D printing technology and its implications across various industries. In this research, a hierarchical decision tree model was utilized to analyse and it highlights the higher knowledge and awareness of the technology among employed respondents, emphasizing the importance of industry awareness and trends.

Industry 4.0, IoT Technologies, 3D Printing, Adoption, Manufacturing Industry, Awareness, Sustainability, Challenges, Decision Tree

"A Machine Learning Decision Tree Approach to 3D Printing Technology Adoption: Industry Awareness and Trends", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.f598-f610, September-2023, Available :http://www.jetir.org/papers/JETIR2309572.pdf

"A Machine Learning Decision Tree Approach to 3D Printing Technology Adoption: Industry Awareness and Trends", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppf598-f610, September-2023, Available at : http://www.jetir.org/papers/JETIR2309572.pdf