How will Hardware Segment Affect the AI in Manufacturing Market Share Over the Forecast Duration?

The hardware segment holds a substantial share of over 57% in the AI in manufacturing market, owing to the increasing implementation of AI technologies across many industry verticals. Within the same, the GPUs are expected to dominate the hardware processor based AI in manufacturing market share pertaining to the high processing capabilities provided at lower cost. The rising prevalence of enhanced visual content will further promote GPU demand in the manufacturing industry.

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The increasing adoption of trends like industry 4.0 which warrants the enhancement of operational efficiency will drive AI in Manufacturing Market size. There is a growing need among the manufacturers to reduce the cost of operation and increase productivity. The implementation of new technologies to study the customer behavior would thus favor the manufacturing of consumer centric products.

AI based solutions are extremely reliable and provide the enterprises with an extensive set of information which helps to improve the operation scalability and so the cost effectivity. Furthermore, the digitalization of data in the manufacturing sector will drive the industry trends. The rising inclinations toward data digitalization is anticipated to promote the incorporation of AI technologies to enable utilization of advanced data analytics solutions.

The machine learning market accounted for over 47% of the revenue in AI in Manufacturing Market in 2018. The technology is used to warrant quality management at every stage of the manufacturing process. It anticipates product quality at early stages of the production with a high level of precision. The computer vision market is expected to grow at a CAGR of 45% over the forecast timespan. The rise in automation and extensive adoption of IoT systems are encouraging its use in the manufacturing industry.

Asia Pacific is leading in AI in the manufacturing landscape with over 43% market share in 2018. The market growth is attributed to the presence of highly advanced manufacturing facilities in countries including China, Japan, and South Korea. The widespread adoption of industry 4.0 technologies is also promoting the use of AI solutions. Europe’s AI in manufacturing market is anticipated to grow at a CAGR of over 44% during the forecast timeframe. High investment by the prominent automakers in the region to incorporate advanced production technologies is adding to the growth of the market.

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All in all, owing to the existence of numerous technology firms and surging investments in automation solutions, the AI in manufacturing market in Europe is anticipated to witness a 44% CAGR from 2019 to 2025. Key software and hardware providers based in Europe, such as Graphcore and SAP, as well as formation of technology partnerships with start-ups by American firms like Google, IBM and Microsoft in the region will define the competitive dynamics of the AI in Manufacturing industry.

Some Points From Table Of Content: –

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

8.3.1. Market estimates and forecast, 2016 — 2025

8.4. Pharmaceuticals & chemical

8.4.1. Market estimates and forecast, 2016 — 2025

8.5. Automobile

8.5.1. Market estimates and forecast, 2016 – 2025

8.6. Heavy metals & machine manufacturing

8.6.1. Market estimates and forecast, 2016 – 2025

8.7. Food & beverages

8.7.1. Market estimates and forecast, 2016 – 2025

8.8. Others

8.8.1. Market estimates and forecast, 2016 – 2025

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