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AI in Manufacturing Industry in India


AI in Manufacturing Industry in India 2021

Report code: SDMRTE1627898 | Industry: Technology | Published On: 12/1/2022


Market insights:

With the introduction of industry 4.0 technology India's manufacturing industry is on the verge of a digital transformation. Several Indian manufacturing firms have invested in artificial intelligence (AI)-based industrial automation technologies to improve product quality and design save labour costs shorten manufacturing cycles and track equipment health in real time. Blue Star Ltd. TVS Motor Company Ltd. JK Tyre & Industries Ltd. and Asian Paints Ltd. have all used AI to boost the efficiency and productivity of their production plants.

The contribution of AI in the Indian GVA was valued at INR 12272.38 Bn in 2020 and is expected to reach INR 40703.34 Bn by 2025 expanding at a CAGR of 4.83% during the forecast period (2021 – 2026). AI is being implemented for factory automations quality monitoring predicting equipment failure order management delivery management and demand forecasting.

Market trends:
Indian manufacturing companies are utilizing AI-enabled predictive maintenance systems for self-monitoring and reporting malfunctions in real time. IBM has developed its cognitive computing platform Watson for manufacturers to reduce errors and improve product quality. Similarly Qualitas Technologies has developed the Eagle Eye Inspection System which uses an AI-based vision controller to check the quality of products.
Players in the Indian manufacturing sector have been keen on the use of collaborative robots that leverage AI and analytics. Collaborative robots are capable of handling additional cognitive tasks and making independent decisions based on real-time data. Blue Star Ltd. is using AI-enabled collaborative robots (offered by Universal Robots A/S) to optimize the task of copper tube expansion and to minimize stress risks associated with it.

Impact of COVID-19:
The unprecedented impact of the pandemic has changed the business landscape of the manufacturing sector. Frontier technologies such as AI have become the key to maintaining resilience against the effects of the pandemic. Manufacturing units that struggled with significant labor shortages during the lockdown adopted AI-based solutions to continue with production. Government initiatives such as the Atmanirbhar Bharat mission and Production Linked Incentive Scheme for White Goods (PLIWG) are expected to drive the adoption of AI in the manufacturing industry amid the pandemic.
Global players are aiming to divest in China and are considering India as the preferred destination to shift their manufacturing bases. Indian players can seize this opportunity and leverage AI to create a safe inter-connected intuitive and interactive manufacturing environment.

Chapter  1:  Executive  summary

Chapter  2:  Socio-economic  indicators

Chapter  3:  Introduction
3.1.  Market  definition  and  structure
3.2.  Major  global  players  using  AI-based  manufacturing  process

Chapter  4:  AI  Market  in  India  –  An  Overview  
4.1.  India  artificial  intelligence  market  overview
4.1.1.  AI  market  size  and  growth  forecast:  Contribution  of  AI  to  GVA

Chapter  5:  AI  in  the  Manufacturing  Industry  –  An  Overview
5.1.  Manufacturing  industry  in  India  –  An  overview
5.2.  AI  in  the  manufacturing  industry  –  An  overview
5.2.1.  Market  size  and  growth  forecast  of  AI  in  manufacturing:  Contribution  of  AI  in  manufacturing  to  GVA


Chapter  6:  Application  of  AI  in  manufacturing
6.1.  Major  applications
6.2.  Sector-wise  applications

Chapter  7:  Use  cases  of  AI  in  the  manufacturing  industry
7.1.  Use  cases  of  AI  in  the  manufacturing  industry

Chapter  8:  Case  studies
8.1.  Case  study  –  Blue  Star  Ltd.
8.2.  Case  study  –  TVS  Motor  Company  Ltd.
8.3.  Case  study  –  JK  Tyre  &  Industries  Ltd.
8.4.  Case  study  –  Bajaj  Auto  Ltd.
8.5.  Case  study  –  Asian  Paints  Ltd.

Chapter  9:  Impact  of  COVID-19
9.1.  Impact  of  COVID-19

Chapter  10:  Market  influencers
10.1.  Market  drivers
10.2.  Market  challenges
Chapter  11:  Competitive  landscape
11.1.  Abee  Research  Labs  Pvt.  Ltd.01
11.1.1.  Company  information
11.1.2.  Business  description
11.1.3.  Products/services
11.1.4.  Key  people
Note:  Similar  information  has  been  covered  for  other  companies
11.2.  EroNkan  Technologies  Pvt.  Ltd.
11.3.  Flutura  Business  Solutions  Pvt.  Ltd.
11.4.  LivNSense  Technologies  Pvt.  Ltd.
11.5.  Universal  Robots  (India)  Pvt.  Ltd.
11.6.  Altizon  Systems  Pvt.  Ltd.  
11.7.  IBM  India  Pvt.  Ltd.

Chapter  12:  Recent  Developments
12.1.  Recent  developments
Chapter  13:  Appendix
13.1.  Research  methodology
13.2.  About  Netscribes
13.3.  Disclaimer
  Companies  profiled

Companies  profiled
•Abee  Research  Labs  Pvt.  Ltd.
•EroNkan  Technologies  Pvt.  Ltd.
•Flutura  Business  Solutions  Pvt.  Ltd.
•LivNSense  Technologies  Pvt.  Ltd.
•Universal  Robots  (India)  Pvt.  Ltd.
•Altizon  Systems  Pvt.  Ltd.  
•IBM  India  Pvt.  Ltd.  
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