How manufacturing industry is adapting artificial intelligence in 2019
Artificial Intelligence rely on large data sets, using statistical modelling and various technologies such as machine learning and natural language processing to generate insights from the manufacturing records, data, IT systems, stock control and order processing.
THE KEY AND PROMINENT VENDORS:
- Microsoft Corporation
- IBM, Apple Inc.
- Preferred Networks
- Inc., Skymind, Inc.
- others
REGIONS COVERED IN REPORT:
- North America
- Asia Pacific
- Latin America
- Middle East and Africa
VIEW FULL REPORT
https://www.jsbmarketresearch.com/telecommunications/global-artificial-intelligence-in-the-manufacturing-sector-market-global-drivers-restraints-opportunities-trends-and-forecasts-up-to-2023
The report provides an in-depth analysis of the Global Artificial Intelligence in Manufacturing Market aiming to reduce time to market for products and services, reduce operational cost, improve accuracy, and operational performance.
JSB Market Research Pvt Ltd.
MARKET ANALYSIS:
According to , AI in manufacturing market is estimated to be $330.5 million in 2017 and is expected to reach $4,012.5 million by 2023, growing at a CAGR of 51.6% during the forecast period 2017-2023. The leading adoption of internet of things, augmented reality, digitization and 3D printing are the major reasons contributing the adoption of technology in manufacturing.
THE KEY AND PROMINENT VENDORS:
- Microsoft Corporation
- IBM, Apple Inc.
- Preferred Networks
- Inc., Skymind, Inc.
- others
REGIONS COVERED IN REPORT:
- North America
- Asia Pacific
- Latin America
- Middle East and Africa
VIEW FULL REPORT
https://www.jsbmarketresearch.com/telecommunications/global-artificial-intelligence-in-the-manufacturing-sector-market-global-drivers-restraints-opportunities-trends-and-forecasts-up-to-2023
The report provides an in-depth analysis of the Global Artificial Intelligence in Manufacturing Market aiming to reduce time to market for products and services, reduce operational cost, improve accuracy, and operational performance.
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