Introduction: The fifth largest, fastest-growing economy in the world by nominal GDP of $ 2.94 trillion and among the top 1o countries in shares of global manufacturing output, India has become one of the manufacturing hubs along with a service sector. To further boost the economy government had taken initiatives such as “Make In India” supplemented with ‘Digital India’ and ‘Skill India’ Mission. Achieving the target of $ 5 trillion by 2024 seems to be postponed due to the COVID-19 pandemic by another two years or must be geared up for a continuous growth rate of 11.5% per annum. To achieve the growth rate double along with all constraints like inflation, unemployment, GST, low demands, low purchasing power is a big challenge. We need to look fresh to our industry, their practices, effectiveness, productivity, technology adoption, skillset and overall reform through policy to work upon the fundamental dimension of technology, people, governance, and impact to achieve sustainable growth. This paper study and analyze the readiness of industrial enterprises, especially manufacturing companies on six dimension model. Aim: This study aims to understand the preparedness of the industry stakeholders for awareness and adoption of nine key technology components that pave the way for industry 4.0 or SAMARTH Udyog Bharat 4.0. This study analyzing the working environment of the industry to understand the workforce is ready with the technologies they are working upon. This will help to findthe gap of readiness for Industry 4.0 and to bridge them quickly to achieve a growth rate of approximately 11.5%. The industry, which is there in 2.0 or 3.0 will immediately move in the direction of 4.0 to fill the gap. Material and Methods: The survey of one hundred fifty industry manager is carried out to understand the current implementation of industry 4.0 components. The companies are from the Vidharbha region and mostly from Nagpur and nearby areas. The attributes required in the Industry 4.0 is considered for data collection and analysis. Cross tabulation is used to analyze the data. Result:The study reveals that manufacturing units are more ready towards Industry 4.0 rather than the service industry. The age group of 46-55 are more active in the manufacturing sector to work upon future generation technology whereas the young age group is rarely involved and aware about the same