Micro, small, and medium enterprises' Gross value added (GVA) across India accounted for over ** percent of India's gross domestic product (GDP) in the financial year 2023. This was an increased contribution as compared to the previous year. Additionally, MSMEs account for a significant part of the country's exports. Classification of MSMEs in India   As per the upward revision announced in 2020, the definition of micro manufacturing and services units was increased to ** million Indian rupees of investment and ** million rupees of turnover; the small unit was increased to 100 million investment and *** million turnover. The limit of the medium unit was increased to *** million in investment and *** billion in turnover. The objective of this change was to ensure that MSMEs can exhaust the state benefits without the fear of outgrowing themselves. However, critics argue that the gap defining medium enterprises is too wide and may create unfair competition. Informal micro enterprises Micro enterprises account for the majority share of the MSME sector in India, and a significant number of these enterprises are informal. Cost of compliance, complex labor laws, and lack of awareness about the benefits of formalization could be some reasons for keeping the micro-enterprises unregistered. Since businesses in the informal economy do not contribute to the tax base and tend to remain small with limited access to formal finance, it impairs a country’s ability to truly gauge the socio-economic metrics.

Micro, Small, and Medium Enterprises (MSMEs) contributing around 30% of the Indian gross domestic product (GDP), around 45% of the manufacturing output, and approximately 40% of the country’s exports. It won’t be wrong to refer to them as the ‘Backbone of the Indian economy.’MSMEs players a crucial role in the development of the Indian economy and have contributed immensely to the country’s socio-economic development. It not only generates employment opportunities but also works for the development of the nation’s backward and rural areas.

Credit to MSMEs registered a robust **** percent year-on-year growth as of March 2025. The credit for the industry crossed ** trillion Indian rupees in the year.

As of February 2025, Maharashtra held over ** percent share of medium, small, and micro enterprises in India. It was followed by Tamil Nadu with more than ** percent share. The Ministry of MSMEs runs various schemes to provide credit and financial assistance to MSMEs. The central government has also initiated schemes targeting the northeastern states of India.

In the financial year 2025, the contribution of MSME-related exports as a share of total exports from India is expected to be over ** percent. The share was over ** percent during the financial years 2020 and 2021 but registered a decline since the financial year 2022.

The "MSME Registration in India by District-wise" dataset presents a comprehensive overview of Micro, Small, and Medium Enterprises (MSMEs) registered across various districts within India. This dataset provides a detailed breakdown of MSME registrations, meticulously organized by district, offering a nuanced understanding of the distribution and growth of these enterprises at a localized level.

With a focus on the geographic dimension, this dataset enables researchers, policymakers, and stakeholders to explore the vibrancy of India's entrepreneurial landscape. By examining the MSME registrations district-wise, one can discern patterns, trends, and disparities in the establishment and growth of small and medium-scale enterprises across different regions.

This dataset is a valuable resource for those interested in gaining insights into the economic dynamics of specific districts. Researchers can leverage this data to identify clusters of MSME activity, uncover opportunities for development, and assess the impact of policy measures on a localized scale. Policymakers can use this information to formulate targeted strategies that cater to the unique needs of various districts, fostering a conducive environment for MSMEs to flourish.

The "MSME Registration in India by District-wise" dataset serves as a crucial tool for evidence-based decision-making, allowing stakeholders to gauge the effectiveness of support programs, allocate resources more efficiently, and ensure a balanced distribution of economic opportunities across the nation. It encapsulates a wealth of information that contributes to a deeper understanding of India's economic fabric, underscoring the significant role played by MSMEs in driving growth, innovation, and employment generation at the district level.

In the 21st Century, India's micro, small, and medium enterprises (MSME) have mass employment and contributed to around 30% of India's GDP in 2020. As of 2020, India has a house of 2.5 million units and is the backbone of large sectors such as manufacturing, agriculture, aviation, IT & ITeS, pharma, cement, and automobiles. India Government initiatives helped MSME to grow at the rate of 18.5% CAGR in 2019-2020. Indian Government is committed to bringing sustainable growth to the MSME sector. This brings the point to look into scalability issues often faced by these industries due to the typical owner and employee organization structure and the lack of knowledge of recent HR practices. All the management and operational decisions are factored into top leadership (the business owner and his sons). With the young entrepreneurs stepping into the family business, the face of this industry is bound to change further. Indian Government has doubled the budget for the MSME sector in FY22 from $ 1.03 billion in FY21 to $ 2.14 billion in FY22. With the Industrial Revolution 5.0, India has witnessed multiple unicorns in the last decade, and they are bound to see maturity in leadership sustainability and focus on employee empowerment. The study aims to look into labor law barriers faced by those not covered in the FY22 vision document for adopting to meet 5 trillion dollar business demands by 2025.

About This Dataset

This dataset provides a detailed snapshot of Micro, Small, and Medium Enterprises (MSMEs) registrations across various districts in the state of Andhra Pradesh, India. The data covers several districts, capturing the number of MSME registrations at different levels: micro, small, and medium. The dataset offers insights into the distribution and scale of MSMEs within the region, highlighting the economic activity and entrepreneurial landscape of Andhra Pradesh.

Dataset Features

state_name: The name of the state (Andhra Pradesh). state_id: Unique identifier for the state. district_name: The name of the district within the state. lg_dt_code: A code representing the district. **medium: **The number of medium enterprises registered. micro: The number of micro enterprises registered. **small: **The number of small enterprises registered. total: The total number of MSMEs registered in each district.

Insights and Applications

This dataset can be instrumental for various analyses and applications, such as:

Economic Analysis: Understanding the distribution of MSMEs and their scale in different districts, which can help in evaluating regional economic development and planning. Policy Formulation: Providing data-driven insights for policymakers to target interventions and support mechanisms for districts with high or low MSME registration rates. Market Research: Assisting businesses and investors in identifying potential markets and regions with a robust presence of MSMEs. Data Source The data is sourced from official MSME registration records and is intended for educational and analytical purposes.

Feel free to explore the data and uncover insights that can contribute to a better understanding of the MSME landscape in Andhra Pradesh!

Micro, small, and medium enterprises (MSMEs) in India are critical for employment yet face significant challenges from economic and policy shifts. We analyzed the determinants of employment generation in three distinct MSME clusters in Uttar Pradesh, India, using primary survey data from 150 enterprises. We employed Exploratory Factor Analysis (EFA) and hierarchical regression to identify key functional drivers. Foundational firm attributes explained the majority of variation in employment; however, we found evidence for differential policy responses. Specifically, employment growth was directly driven by policy factors related to 'Business Growth & Opportunity Perception' and 'Employment Incentive'. At the same time, financial access and technological adoption showed no direct effects but demonstrated significant correlations with the policy environment, suggesting the existence of indirect pathways. Our findings corroborate the importance of targeted policy support and may help explain the mechanistic drivers of employment generation in the MSME ecosystem under future economic scenarios.