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Publication: May 2024
Report Type: Niche Report
Report Format: PDF DataSheet
Report ID: AI4267 
  Pages: 110+  

India AI Industrial Robotics Market Analysis, Size, and Forecast by Component, Functionality, Type, Application, and Industry: 2019-2032

Report Format: PDF DataSheet |   Pages: 110+  

 May 2024  | 

India AI Industrial Robotics Market Snapshot

India AI Industrial Robotics Market

  • DataCube Research foresees the India AI industrial robotics market market making significant strides on the global stage, with projected revenue reaching US$ 224.7 Million by 2024. Moreover, our analysis indicates a promising trajectory, an anticipated CAGR of 13.8% from 2024 to 2032 to reach US$ 629.9 Million by 2032.
  • Within the Indian AI industrial robotics market market, our research highlights the dominance of the hardware segment, which claimed the largest market share of 18.0% in 2023. This underscores the segment's robust position and potential for continued growth.
  • In our projections, we also pay close attention to end user dynamics. We anticipate the food and beverage sector to emerge as a key driver of growth, expanding with a fastest CAGR of 18.0% during the forecast period spanning 2024 to 2032.

India AI Industrial Robotics Industry Coverage

Analysis Period

2019-2032

Actual Data

2019-2023

Base Year

2024

Estimated Year

2024

CAGR Period

2024-2032
 

Research Scope

Component

Hardwar

Softwar

Servic

Functionality

Pick and Plac

Palletizin

Sortin

Grippin

Manipulatio

Navigatio

Perception and Sensin

Other

Type

Industrial Robot

Collaborative Robots (Cobots

Autonomous Mobile Robots (AMRs

SCARA Robot

Cartesian Robot

Articulated Robot

Other

Application

Assembl

Material Handlin

Weldin

Paintin

Inspection and Quality Contro

Packagin

Machine Tendin

Other

Industry

Manufacturing

Automotiv

Electronic

Food and Beverag

Pharmaceutical

Aerospace and Defens

Other


*Research Methodology: This report is based on DataCube’s proprietary 3-stage forecasting model, combining primary research, secondary data triangulation, and expert validation. [Learn more]