Artificial Intelligence in Indian Manufacturing Industry 2020 is latest research study released by HTF MI evaluating the market, highlighting opportunities, risk side analysis, and leveraged with strategic and tactical decision-making support. The study provides information on market trends and development, drivers, capacities, technologies, and on the changing investment structure of the Artificial Intelligence in Indian Manufacturing Market. Some of the key players profiled in the study are 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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Manufacturing companies in India have been digitizing their plants with advanced process controls, analytics, and AI-based decision support solutions. Several Indian manufacturing companies have been investing in artificial intelligence AI-based factory automation solutions to improve product quality and design, reduce labor costs, minimize manufacturing cycles, and monitor real-time condition of machines. To ensure efficiency and productivity, companies such as Blue Star Ltd., TVS Motor Company Ltd., JK Tyre & Industries Ltd., and Asian Paints Ltd. have deployed AI-based solutions and analytics platforms across their manufacturing units in India.
The automated manufacturing machines use AI solutions to identify faults in the manufacturing process and notify the production team to eliminate product quality issues. Manufacturing companies are also installing AI-enabled predictive maintenance systems that are capable of self-monitoring and reporting malfunctions in real time. IBM has developed cognitive assistants using 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.
Indian manufacturers are deploying collaborative robots powered by analytics and AI. These 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 minimize stress risks associated with it.
Over the past few years, venture capital firms and global companies like GVFL Ltd., Boschand Hitachi High-Tech Solutions Corporationhave invested in Indian AI start-ups serving the manufacturing industry. These investment activities have supported the development of AI-based solutions, as a result, propelling the growth of AI in the Indian manufacturing industry.
Indian manufacturers are continuously harnessing the power of Industrial Internet of Things (IIoT) by incorporating intelligent controls, sensors and smart switches in their production units. Use of IIoT, together with AI and data analytics, is expected to benefit the manufacturing industry by providing real-time insights for faster decision making.
Some of the key players/Manufacturers involved in the Market are – 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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If opting for the Global version of Artificial Intelligence in n Manufacturing Market analysis is provided for major regions as follows:
• North America (USA, Canada and Mexico)
• Europe (Germany, France, the United Kingdom, Netherlands, Russia , Italy and Rest of Europe)
• Asia-Pacific (China, Japan, Australia, New Zealand, South Korea, India and Southeast Asia)
• South America (Brazil, Argentina, Colombia, rest of countries etc.)
• Middle East and Africa (Saudi Arabia, United Arab Emirates, Israel, Egypt, Nigeria and South Africa)
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Key Answers Captured in Study are
Which geography would have better demand for product/services?
What strategies of big players help them acquire share in regional market?
Countries that may see the steep rise in CAGR & year-on-year (Y-O-Y) growth?
How feasible is market for long term investment?
What opportunity the country would offer for existing and new players in the Artificial Intelligence in n Manufacturing market?
Risk side analysis involved with suppliers in specific geography?
What influencing factors driving the demand of Artificial Intelligence in n Manufacturing near future?
What is the impact analysis of various factors in the Artificial Intelligence in Indian Manufacturing market growth?
What are the recent trends in the regional market and how successful they are?
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There are 15 Chapters to display the Artificial Intelligence in Indian Manufacturing market.
Chapter 1, About Executive Summary to describe Definition, Specifications and Classification of Artificial Intelligence in Indian Manufacturing market, Applications, Market Segment by Types;
Chapter 2, objective of the study.
Chapter 3, to display Research methodology and techniques.
Chapter 4 and 5, to show the Artificial Intelligence in n Manufacturing Market Analysis, segmentation analysis, characteristics;
Chapter 6 and 7, to show Five forces (bargaining Power of buyers/suppliers), Threats to new entrants and market condition;
Chapter 8 and 9, to show analysis by regional segmentation[North America (Covered in Chapter 7 and 14), United States, Canada, Mexico, Europe (Covered in Chapter 8 and 14), Germany, UK, France, Italy, Spain, Russia, Others, Asia-Pacific (Covered in Chapter 9 and 14), China, Japan, South Korea, Australia, India, Southeast Asia, Others, Middle East and Africa (Covered in Chapter 10 and 14), Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Others, South America (Covered in Chapter 11 and 14), Brazil, Argentina, Columbia, Chile & Others ], comparison, leading countries and opportunities; Regional Marketing Type Analysis, Supply Chain Analysis
Chapter 10, to identify major decision framework accumulated through Industry experts and strategic decision makers;
Chapter 11 and 12, Artificial Intelligence in Indian Manufacturing Market Trend Analysis, Drivers, Challenges by consumer behavior, Marketing Channels
Chapter 13 and 14, about vendor landscape (classification and Market Ranking)
Chapter 15, deals with Artificial Intelligence in Indian Manufacturing Market sales channel, distributors, Research Findings and Conclusion, appendix and data source.
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