Global Smart Manufacturing Market Size, Share and Forecast 2020-2026
The global smart manufacturing market is projected to exhibit a significant growth, at a CAGR of around 12.8%, during the forecast period. The rising adoption of AI industrial robots is witnessed in developed countries and certainly seems to be predictable due to the rise in production demands. This includes continued adaptation to the proliferation of automation and IoT, increased resource efficiency, and need for safer and more simplified robotic technologies to work in collaboration with humans. According to IFR (International Federation of Robotics), around one million industrial robots are currently working in industrial units across the globe. Many global institutions and organizations have taken several initiatives for the adoption of AI in the manufacturing sector.
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The manufacturing industry incorporates substantial activities from the
past few years, certainly aiming new advancements based on AI. This includes
standardized schemes and establishment of ecosystems that engage both the IT
and manufacturing industries together, along with the introduction of IIC
(Industrial Internet Consortium) in the US, led by General Electric Co., and
the introduction of government-led Industry 4.0 initiative in Germany. Several
global companies are adopting autonomous decentralized systems to enhance
production process. For instance, Hitachi, a Japanese multinational
conglomerate, is working to offer numerous innovative manufacturing solutions
to industries, based on the “symbiotic autonomous decentralization” model for
forming new business and achieving overall optimization of activities by
connecting different systems together.
One of the other crucial elements of AI that is expected to gaining popularity and application in manufacturing control systems and pattern recognition is fuzzy logic or fuzzy models. The fuzzy logic was introduced in 1965 and is based on the mathematical theory of fuzzy sets, which is a generalization of the classical set theory. Tools based on fuzzy logic enable inclusion of imperfect information and uncertainties in decision making models, which makes them perfectly compatible for manufacturing decisions. A few instances are the automatic transmission of Lexus automobile, a washing machine that automatically adjusts the washing cycle for load size, fabric type and amount of dirt, and avoice-controlled helicopter that follows commands such as forward, up, left, right:hover, and land. This fuzzy logic is expected to offer growth opportunity to the global smart manufacturing market during the forecast period.
A
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Global Smart
Manufacturing Market-Segmentation
By Component
·
Hardware
·
Software
& Services
By Technology
·
Programmable
Logic Controller (PLC)
·
Supervisory
Controller and Data Acquisition (SCADA)
·
Machine
Vision
·
Distributed
Control System (DCS)
·
Product
Lifecycle Management (PLM)
·
Others
(3D Printing)
By End-Use
Industry
·
Healthcare
·
Automotive
·
Aerospace
& Defence
·
Oil
& Gas
·
Food
& Beverages
·
Others
(Metals and Mining)
Global Smart Manufacturing
Market– Segment by Region
North America
·
United States
·
Canada
Europe
·
UK
·
Germany
·
Spain
·
France
·
Italy
·
Rest of Europe
Asia-Pacific
·
India
·
China
·
Japan
·
South Korea
·
Rest of APAC
Rest of The World
Company Profiles
·
ABB
Ltd.
·
Cisco
Systems, Inc.
·
DXC Technology
Co.
·
Emerson
Electric Co.
·
Fanuc
Corp.
·
Fujitsu
Ltd.
·
General
Electric Co.
·
Honeywell
International, Inc.
·
IBM
Corp.
·
Intel
Corp.
·
Larsen
& Toubro Infotech Ltd.
·
Mitsubishi
Electric Corp.
·
Oracle
Corp.
·
Robert
Bosch GmbH
·
Rockwell
Automation, Inc.
·
SAP SE
·
Schneider
Electric SE
·
Siemens
AG
·
Wipro
Ltd.
·
Yokogawa
Electric Corp.
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