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    Categories: Information technology

Smart Factory Market to 2025 - Growth Rate and Opportunity Assessment

The adoption of smart factory market solutions is expected to increase in the automotive industry over the forecast period. These solutions are integrated into factories for the development and production of high-quality automobile systems and components. Intelligent factories are integrated with various advanced solutions such as cloud computing, AI, IoT, 3D printing, and various automation technologies.

Industrial robots are gaining popularity over human labor in the smart factory market due to their ability to increase productivity & eliminate human errors. These robots produce high-quality products with continuous precision, thereby reducing a large amount of industrial wastes. Additionally, they are capable of handling critical & dangerous manufacturing applications and keeping workers safe & motivated. Increasing labor cost in North American and European countries and high investments required for employee training are supporting the high adoption of these robots. Moreover, collaborative robots are designed with multiple advanced sensors and software, enabling them to work alongside humans safely & effectively.

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Smart Factory Market is expected to exceed USD 155 billion by 2025.

The global automotive companies are making heavy investments in these technologies for increasing the productivity and efficiency of their manufacturing & warehousing facilities. For instance, Audi AG invested around USD 1.3 billion for building a smart factory in Mexico in 2016. The growing adoption of advanced technologies and increasing investments by automotive manufacturers in intelligent solutions will drive the smart factory market growth.

Major players operating in the smart factory market include ABB, Honeywell International Inc., Robert Bosch GmbH, General Electric, Emerson Electric, Siemens, Schneider Electric, and Rockwell Automation, etc.

These players are adopting various business expansion strategies such as mergers & acquisitions, product launches, and collaborations & agreements for introducing new manufacturing-related solutions. These strategies are supporting the development of advanced and efficient products, leading to an increase in customer satisfaction in the smart factory market.

APAC smart factory market is expected to grow rapidly owing to the rising adoption of automation technologies across various industry verticals. In October 2018, the Indian government has released the draft National Policy on Electronics (NPE) that has envisaged the creation of nearly USD 400 billion electronics manufacturing industry in India by the end of 2025. The Chinese government has announced the 'Made in China 2025' program, which will invest around USD 3 billion in the advanced manufacturing sector. The growing government initiatives in the Asia Pacific region for the development of the manufacturing sector is providing several opportunities for smart factory market growth.

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The smart factory market is expected to grow rapidly owing to increasing adoption of advanced sensing components, such as sensors and actuators, across industries due to their benefits such as integrated computing abilities along with lower power consumption.

The growing demand for industrial robots and the evolution of Industrial IoT (IIoT) technology will drive the smart factory market growth. The rising focus on energy consumption, resource optimization, and cost saving across various industry verticals will contribute to the high demand for intelligent manufacturing techniques. Industries are adopting real-time data-driven technologies and digital supply chain management options to enhance product quality and asset efficiency, mitigating human & machine errors.

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Ronak Bora:

A graduate in Electronics Engineering, Ronak writes for Technology Magazine and carries a rich experience in digital marketing, exploring how the online world works from a technical and marketing perspective. His other areas of interest include reading, music, and sport.

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