Secondary Data: Extensive review and analysis of existing
literature, industry reports, job portals, and official statistics
were conducted to gather comprehensive data on AI job trends,
salary distributions, and geographical concentrations.
Quantitative Analysis: Statistical tools and techniques were
employed to analyze numerical data, focusing on trends in job
openings, salary distributions, and geographical concentrations.
Qualitative Analysis: Content analysis was performed on
qualitative data to identify key themes and insights related to the
AI job market.
Comparative Analysis:
Sector-wise comparisons were made to highlight differences
and similarities in AI job opportunities across various industries,
including IT/ITeS and Non-IT sectors.
Role-wise and experience-wise distributions were examined to
understand the demand for different types of AI professionals.
Validation:
To ensure the accuracy and reliability of the data, a rigorous
validation process was implemented. This involved cross-
referencing findings from different sources and conducting a
series of quality checks. Feedback from industry experts was
also sought to validate the findings.
METHODOLOGY
Data Collection:
Data Analysis:
The methodology for this report involves a multi-faceted
approach to ensure a thorough and accurate analysis of the AI
job market in India. The following steps were undertaken:
RESEARCH
AI Jobs Landscape in India 2024