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AI in Manufacturing Market Analysis To 2025 | Qualcomm, Microsoft, Nvidia, Intel, Google, Falkonry, AWS, Vicarious

06-11-2020 06:31 PM CET | Business, Economy, Finances, Banking & Insurance

Press release from: Decresearch

Artificial Intelligence (AI) in Manufacturing Market

Artificial Intelligence (AI) in Manufacturing Market

The global AI in manufacturing market is anticipated to traverse alongside a highly remunerative growth graph in the ensuing years, owing to the rapid adoption of automation across various production processes. The manufacturing industry has always welcomed new technologies in the process landscape, with the integration of technologies such as drones and industrial robots dating back to 1960s. The manufacturing sector is now gearing up to witness the next automation revolution through the adoption of AI technologies.

The technology will connect all the machines, systems and plants across the carmaker’s global facilities to optimize operations by helping avoid bottlenecks. The rising adoption of cloud platforms and IoT platforms will produce tons of digital data, which will require advanced AI-driven data analytics solutions to process data and extract valuable insights. Thus, the rapid adoption of IoT and cloud-based platforms will help proliferate AI in manufacturing market growth over the ensuing years.

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In addition to these nations, other EU members have also adopted robots eagerly to take advantage of the long-term financial benefits they deliver, presenting tremendous growth opportunities for the AI in manufacturing market. Europe has witnessed the rise of many producers of hardware components that are compatible with AI technology, besides the augment of software providers and start-ups aiming to offer unique AI experiences. Reports indicate that the region has a constantly growing AI community, where U.K. supposedly has the largest AI ecosystem in the region with Germany, Spain and France close behind. Presence of world leading automakers, electronics product manufacturers, FMCG businesses and consumer goods producers in Europe provides key development and funding opportunities for emerging AI technology firms.
Moreover, to boost consumer confidence in Europe AI, policymakers are in talks of imposing ethical guidelines as well. Some experts are even personally convinced that ethical AI guidelines will turn out to be an enabler of innovation for artificial intelligence and boost European investments in AI. These parameters in tandem with surging labor costs will stimulate the adoption of AI-driven manufacturing technologies in the region.

Driven by the exponential growth in robotics, big data, and IoT device adoption in conjunction with the growing demand for automation among several major companies as well as SMBs, the global AI in manufacturing market is all set to depict commendable growth prospects in the years ahead.

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Glimpse of Table of Content (ToC): -
Chapter 6. AI in Manufacturing Market, By Technology
6.1. Key trends, by technology
6.2. Machine learning
6.2.1. Market estimates and forecast, 2016 -- 2025
6.3. Computer vision
6.3.1. Market estimates and forecast, 2016 -- 2025
6.4. Context awareness
6.4.1. Market estimates and forecast, 2016 -- 2025
6.5. Natural Language Processing (NLP)
6.5.1. Market estimates and forecast, 2016 -- 2025
Chapter 7. AI in Manufacturing Market, By Application
7.1. Key trends, by application
7.2. Quality management
7.2.1. Market estimates and forecast, 2016 -- 2025
7.3. Predictive maintenance and machinery inspection
7.3.1. Market estimates and forecast, 2016 -- 2025
7.4. Material movement
7.4.1. Market estimates and forecast, 2016 -- 2025
7.5. Production planning
7.5.1. Market estimates and forecast, 2016 – 2025
7.6. Cybersecurity
7.6.1. Market estimates and forecast, 2016 – 2025
7.7. Field services
7.7.1. Market estimates and forecast, 2016 – 2025
Chapter 8. AI in Manufacturing Market, By End-Use
8.1. Key trends, by end-use
8.2. Semiconductor & electronics
8.2.1. Market estimates and forecast, 2016 -- 2025
8.3. Energy & power
8.4. Pharmaceuticals & chemical
8.5. Automobile
8.6. Heavy metals & machine manufacturing
8.7. Food & beverages

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