Smart Factory Market Value Projected to Expand by 2029
AI is the next logical step for the manufacturing industry to enhance productivity, tooling utilization production line and to minimize the production cost per unit. To gain this, the manufacturers are using AI enabled systems as a part of their operations. For instance, Praxis Packaging Solutions, an American packaging solution provider, is using the US-based Rethink Robotics’ industrial robots. Focused on cost-effective packaging and repackaging of new products and rapid reconfiguration of the assembly process, Praxis deployed Baxter industrial robots. Moreover, the scientists at the Novartis Institute of BioMedical Research (NIBR) are applying AI technology to collect, analyze, and achieve insights from clinical trial data from a range of internal sources. Verge Genomics uses AI to speed up drug discovery during preclinical trials. This shows the significant adoption of AI by the different industry manufacturers that are contributing to the growth of the market.
Automotive
industry likely to account significant contribution in the smart factory
market
There is an
increasing role of industrial robots in the automotive industry, which in turn,
is offering significant opportunities for the growth of the market. For
instance, as per IFR, in terms of market share, the most important consumer of
robots is the automotive sector. The US car market is the second-largest car
market across the globe after China. Part suppliers account for two-thirds of
installations in the US automotive sector as sales increased by 9.0% in
2017-2018. During the period 2013 and 2018, the average annual growth rate of
robot sales to the US automotive industry was 7.0%. This emerging demand for
industrial robots in the automotive industry is anticipated to propel the
adoption of smart technologies.
With the
support to AI-based robots, it becomes easier to detect and solve a fault as
they are programmed to detect the faults and provide solutions to overcome the
damage. Bosch and General Electric are some major companies that are investing
in machine learning-powered approaches. The robot's effectiveness is driven by
machine learning capabilities and thereby emerging demand for robots in
automotive manufacturing is anticipated to offer significant opportunities for
market growth. The innovative capabilities along with increasing customer
expectations have led the automotive industry in the area of digital
transformation. Therefore, automotive manufacturers are adopting new
technologies, such as machine learning, AI, and deep learning for smart
factories.
The APAS
assistant mobile is a collaborative and movable robot for flexible applications
in the smart factory. As an intelligent robot-based assistant, it is primarily
aimed at end-users who benefit from rapid and cost-efficient realization
applications for new product variants, high robustness, easy handling and
intuitive operation. For instance, since June 2017, the two APAS assistants are
working in the production of diesel injection systems for utility vehicles. The
two robots complement a shielded laser welding station and enhance the
productivity of the whole line. Additionally, they relieve employees of a
repetitive job at an ergonomically challenging workplace. Therefore these
advancement in industrial robots further propels the market growth.
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Smart Factory
Market Segmentation
By
Application
·
Food &
Beverages
·
Pharmaceuticals
·
Personal
care
·
Others
(Electronics and Automotive)
By Type
·
Plastics
·
Paper
·
Aluminum
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Report of Smart Factory Market is Available at: https://www.omrglobal.com/industry-reports/smart-factory-market
Smart
factory Market – Segment by Region
North
America
·
United
States
·
Canada
Europe
·
Germany
·
United
Kingdom
·
France
·
Spain
·
Italy
·
Rest of
Europe
Asia-Pacific
·
China
·
Japan
·
India
·
Rest of
Asia-Pacific
Rest of the
World
Company
Profiles
·
ABB Ltd.
·
Dassault
Systèmes SE
·
Emerson
Electric Co.
·
FANUC
·
General
Electric Co.
·
Honeywell
International Inc.
·
Hewlett
Packard Enterprise Development LP
·
KUKA AG
·
Mitsubishi
Electric Corp.
·
Omron Corp.
·
Qualcomm
Inc.
·
Rockwell Automation,
Inc.
·
Robert
Bosch GmbH
·
SAP SE
·
Siemens AG
·
Schneider
Electric SE
·
Stratasys
Ltd.
·
TE
Connectivity Ltd.
·
Texas
Instruments Inc.
·
Yokogawa
Electric Corp.
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