Artificial
intelligence (AI) is the current buzzword popular among enterprises. Companies
of different streams are adopting artificial intelligence to analyze patterns
and enhance their business solutions. Regional and local players are adopting
these methods to make their ground in their respective markets while the global
players are innovating trends and products to expand their global reach using
analytics and artificial intelligence. Moreover, AI gives regional players, the
flexibility to operate anywhere in the world irrespective of their location.
In the manufacturing
industries, the operations and production processes are wired and involve an
intricate structure. According to the United Nations Industrial Development
Organization (UNIDO), world manufacturing production attained $12,863 billion
in 2017 and experienced a growth rate in global MVA (manufacturing value-added)
from 2.7% in 2016 to 3.5% in 2017. This increasing robust manufacturing
industry base coupled with the transformation occurring with the emergence of
AI is resulting in the growth of manufacturing intelligence software in the
market. These organizations are striving to keep up the pace in the AI
revolution as well as with their competitors to mitigate the production and
maintenance costs. Besides, the manufacturing enterprise can handle the
increasing raw material costs with optimum resources and minimum investments by
analyzing and monitoring the data collected. Therefore, the manufacturing
enterprises are leveraging on business intelligence (BI)
solutions to remain abreast of developments and sustain critical business
elements.
The global enterprise
manufacturing intelligence market size reached a value of $1.54 billion in
2018. Furthermore, the opportunities this market is galvanizing at a CAGR of
15.5% during 2019-2025.
The Power of Real-time
Data in the Manufacturing Intelligence Market
Today, performance and
productivity are key dynamics of the manufacturing industries. Enterprise
manufacturing intelligence tools and software are a holy grail for the
manufacturers to work towards augmenting these dynamics constantly. Typically,
performance is analyzed by relying on the individual’s as well as competitors’
data by generating actionable insights promptly. The huge growth of cloud-based
data integration allows real-time data monitoring between global and
distributed manufacturing plants. This, in turn, allows scalable predictive
maintenance of the plants and ensures the delivery of optimum production with
no unexpected power failures or downtime of the equipment and processes.
On the other hand, the
manufacturing intelligence allows to drill down into the historical trends and
deliver real-time insights, thereby, leading to effective supply chain
management in the industries. Besides, the advent of Industrial revolution 4.0
led to the combination of manufacturing intelligence and IoT. These
technologies collectively are implementing real-time data operations and are
transitioning traditional models in the machine health condition monitoring and
manufacturing execution systems. Therefore, they are leading to a smooth
integration of manufacturing and production. As a result, real-time data
operations are gaining huge significance and thriving the enterprise
manufacturing intelligence market growth. For instance, in 2019, Honeywell
International Inc. has introduced new enterprise performance management
software called Honeywell Forge. This software enables the companies to enhance
their real-time data operations by ensuring top-to-bottom visibility of their
performance using advanced data analytics. Honeywell Forge analyzes large
quantities collected from processes and equipment and enable real-time
monitoring of enterprise operations from a single screen. Products as such
improve energy consumption, space optimization, and decrease operating
expenses. These kind of products are surging in the manufacturing industries
such as chemicals, aerospace and defense, petrochemicals, and others.
Europe to be Most
Lucrative in the Global Enterprise Manufacturing Intelligence Market
The manufacturing
production in Europe is growing at a fast pace in the global manufacturing
sector. In 2017, according to the UNIDO, Europe was experiencing significant
growth rate in the manufacturing production and constituted about 25.4% in the
global MVA share with Germany, France, and Italy in the list of top 10 countries.
With the growth of the manufacturing industries combined with the digital
revolution initiatives, Europe accounted for 36% in the global enterprise
manufacturing intelligence market share as of 2018. Besides, to take full
advantage of the digital revolution, the region is unlocking the potential of
IoT, cloud computing, and big data in the manufacturing processes and services
resulting in high-efficiency across all the sectors. Adding to that, several
frameworks and policies initiated by the European Commission, such as
‘Digitising European Industry Initiative (DEI)’ as a part of the digital single
market strategy. This aims to ensure building and complementing other national
initiatives towards strengthening benefits from digitization. Furthermore, the
industries of Europe are reinforcing their businesses with cybersecurity,
digital industrial platforms, and upgrading with relevant digital skills.
Therefore, with huge traction from government initiatives and investments,
enterprise manufacturing intelligence is gaining ground in Europe.
Automotive Sector
Surging with Huge Demand for the Enterprise Manufacturing Intelligence Market
Automotive is a
massive industry with a long record of harnessing updated technologies to
enhance the safety and efficiency of the vehicles. Besides, the automotive
sector pipeline is convoluted. So, to control and operate these giant networks
involved in the automotive sector, there is an ever-growing demand for
integrated software solutions to increase responsiveness, precision, and meet
with the demands of the customers. As a result, the automotive industry is
thriving with innovations in the enterprise manufacturing intelligence market
and observing a lucrative CAGR of 16.9% during the forecast period. The
automotive sector is the fastest to adopt the technological advancements in
manufacturing to improve the quality, shorten design-to-launch times, and
effectively manage production during critical high-demand duration. Also, the
advanced automotive OEMs are automating inspection and integrating metrology
data, which further influence the decision-making in these businesses. The
enterprise manufacturing intelligence answers these demands of the automotive
industry by providing demand management and insights and smoothens the manufacturing
networks and operations. Vehicle fleet management has entered into a next level
with the help of enterprise manufacturing intelligence by collecting and
analyzing customer data of fleet operations. With all these growth prospects in
the automotive sector, the enterprise manufacturing intelligence industry is
surging with huge demand.
Key Players
Perspective in the Global Enterprise Manufacturing Intelligence Market
The core companies
operating with major share in the global enterprise manufacturing intelligence
market are Honeywell International Inc., Yokogawa, ABB Ltd., Emerson Electric,
Siemens AG, Dassault System, Rockwell Automation, Schneider Electric SE, and
SAP SE. The dominant players of the enterprise manufacturing intelligence
industry are striving to deliver industry-specific solutions with a wide
product portfolio.
Few of the
advancements in the global enterprise manufacturing intelligence industry
include:
• Product
Launch - In 2019, Siemens AG launched Siemens Opcenter software. This
software provides solutions to address the needs of manufacturing operations
management (MOM). This product meets the demands of the manufacturing
enterprises such as visibility, reduced time to production, quality, and
production efficiency. Besides, it is connected with a cloud-ready portfolio to
ensure harmonized consumer experience in manufacturing operations.
• Product
Launch – In 2018, SAP SE expanded its SAP Leonardo Blockchain
technologies to build and expand applications. The company is working to embed
this technology into SAP manufacturing, and other supply chains of products to
simplify processes and offer greater transparency in the value chain of
pharmaceutical, transportation, food industries, and others.
• Acquisition –
In 2019, Siemens Digital Industries Software acquired ESTEQ, a distributor of
manufacturing operations software and services, and design and simulation in
product lifecycle management. With this acquisition, Siemens expands its base
in South Africa and UAE to deliver technology solutions and services to
manufacturing companies to enhance their processes.
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Related Reports:
A. Business Intelligence
Market
https://www.industryarc.com/PressRelease/1149/Business-Intelligence-Market-Research.html
B. Enterprise Software
Market
https://www.industryarc.com/Report/15404/enterprise-software-market.html
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