AI in Manufacturing Market worth USD 16.3 billion by 2027, at a CAGR of 47.9%

 

According to a research report "Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, and Services), Industry, Application, Technology (Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision), & Region - Global Forecast to 2027" published by MarketsandMarkets, the global Artificial Intelligence in Manufacturing market size is projected to grow from USD 2.3 billion in 2022 to USD 16.3 billion by 2027, it is expected to grow at a CAGR of 47.9% from 2022 to 2027.

• Informational PDF Brochure :-

https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=72679105

Browse 195 market data Tables and 58 Figures spread through 270 Pages and in-depth TOC on "Artificial Intelligence in Manufacturing Market by Region - Global Forecast to 2027"
View detailed Table of Content here - https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-manufacturing-market-72679105.html

The key factors contributing to the growth of artificial intelligence in manufacturing market include improving computing power of AI chipset and increasing venture capital investments in manufacturing AI space. However, increasing venture capital investments in manufacturing AI space is hindering the growth of artificial intelligence in manufacturing market. Limited availability of skilled workforce, especially in developing countries possesses a huge challenge to the industry. However, growing focus on boosting operational efficiency of manufacturing plants is the biggest opportunity in the market space with Asia Pacific having the highest market share and CAGR for the forecast period.

Development of sophisticated hard and soft sensors to boost growth of context-aware computing segment

By using context awareness technology, a control system called Manufacturing Execution System (MES) is designed for managing and monitoring works in a factory, which is based on the dynamic and complex production process in the manufacturing plant. The context-awareness architecture establishes the dynamic interaction properties of the system more thoroughly and guides object specification and abstraction tasks in machine language. This technology provides computing environments with the ability to learn and adopt the context by sensing through different sensors and automatically provides feedback to the user. This service makes the operator attentive, responsive, and predictive. In the manufacturing plant, the production quantity varies on many uncertain factors, including internal and external factors such as random orders, sudden equipment fault, supply modification, and runtime restriction. Context-aware technology finds customized solutions and arranges the machines accordingly for the issues mentioned above. Siemens (Germany) and General Motors (US) use context awareness technology in their plants. Additionally, context-aware information distribution may offer substantial value to industries. It provides task-relevant information or services to users on a manufacturing shop floor, improving decision-making through context-driven recommendations.

Asia Pacific exhibit the highest CAGR during the forecast period

APAC is likely to be the highest contributor in terms of market size and growth rate in the overall AI in manufacturing market during the forecast period. This market in APAC is further divided into China, Japan, South Korea, India, and Rest of APAC (RoAPAC). RoAPAC includes Singapore, Malaysia, Thailand, Australia, and New Zealand. Among all the countries in APAC, China held the largest share of the AI in manufacturing market in 2021.

APAC, led by China, Japan, and South Korea, is considered the largest market for industrial robots. Industrial robots generate a huge amount of data. This data is used in deep learning algorithms to further train the robots. This would act as one of the major drivers for the AI in manufacturing market in APAC. APAC is also considered to have the most number of manufacturing plants in the world. There are a few dark plants in China, where only robots work without any human intervention. AI implementation can make robots smarter, reduce the downtime of machines, and increase productivity.

Advancement in deep learning and supervised learning manufacturing industry to drive growth of AI in manufacturing market for machine learning

Machine learning (ML) enables systems to improve their performance automatically with experience. ML helps develop a computer program/algorithm that can access data and use it to train itself without human intervention. ML is adopted to deal with large volumes of data. The time previously dedicated to analyzing charts and spreadsheets is now being utilized to seek intelligent ways to automate data analysis. ML includes various technologies, such as deep learning, supervised learning, unsupervised learning, and reinforcement learning.

Extensive use of big data in production planning to fuel market growth

Production planning is a process that combines and transforms various resources used in the production system in a manufacturing plant. The AI system executes the interrelated operational activities involved in the manufacturing processes. The deep learning-based algorithm uses many functions such as Programme Evaluation Review Technique (PERT)/Critical Path Method (CPM) to optimize the production planning under various conditions. The use of AI in production planning leads to the standardization of product and process sequence, dedicated special-purpose machines having higher production capacities and output rates, short production cycle time, perfectly balanced production lines, faster flow of materials, and easy material handling.

The key players operating in the artificial intelligence in manufacturing market NVIDIA (US), IBM (US), Intel (US), Siemens (Germany), General Electric (US), Google (US), Microsoft Corporation (US), and Micron Technology (US). The players in this market have adopted various strategies to expand their global presence and increase their market shares.

Don’t miss out on business opportunities in Artificial Intelligence in Manufacturing Market. Speak to our analyst and gain crucial industry insights that will help your business grow.

About MarketsandMarkets™

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

Contact:
Mr. Aashish Mehra
MarketsandMarkets™ INC.
630 Dundee Road
Suite 430
Northbrook, IL 60062
USA : 1-888-600-6441

AI in Manufacturing Market expected to reach 16.3 billion by 2027

 

According to a research report "Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, and Services), Industry, Application, Technology (Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision), & Region - Global Forecast to 2027" published by MarketsandMarkets, the global Artificial Intelligence in Manufacturing market size is projected to grow from USD 2.3 billion in 2022 to USD 16.3 billion by 2027, it is expected to grow at a CAGR of 47.9% from 2022 to 2027.

• Informational PDF Brochure :-

https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=72679105

Browse 195 market data Tables and 58 Figures spread through 270 Pages and in-depth TOC on "Artificial Intelligence in Manufacturing Market & Region - Global Forecast to 2027"

The key factors contributing to the growth of artificial intelligence in manufacturing market include improving computing power of AI chipset and increasing venture capital investments in manufacturing AI space. However, increasing venture capital investments in manufacturing AI space is hindering the growth of artificial intelligence in manufacturing market. Limited availability of skilled workforce, especially in developing countries possesses a huge challenge to the industry. However, growing focus on boosting operational efficiency of manufacturing plants is the biggest opportunity in the market space with Asia Pacific having the highest market share and CAGR for the forecast period.

Development of sophisticated hard and soft sensors to boost growth of context-aware computing segment

By using context awareness technology, a control system called Manufacturing Execution System (MES) is designed for managing and monitoring works in a factory, which is based on the dynamic and complex production process in the manufacturing plant. The context-awareness architecture establishes the dynamic interaction properties of the system more thoroughly and guides object specification and abstraction tasks in machine language. This technology provides computing environments with the ability to learn and adopt the context by sensing through different sensors and automatically provides feedback to the user. This service makes the operator attentive, responsive, and predictive. In the manufacturing plant, the production quantity varies on many uncertain factors, including internal and external factors such as random orders, sudden equipment fault, supply modification, and runtime restriction. Context-aware technology finds customized solutions and arranges the machines accordingly for the issues mentioned above. Siemens (Germany) and General Motors (US) use context awareness technology in their plants. Additionally, context-aware information distribution may offer substantial value to industries. It provides task-relevant information or services to users on a manufacturing shop floor, improving decision-making through context-driven recommendations.

Asia Pacific exhibit the highest CAGR during the forecast period

APAC is likely to be the highest contributor in terms of market size and growth rate in the overall AI in manufacturing market during the forecast period. This market in APAC is further divided into China, Japan, South Korea, India, and Rest of APAC (RoAPAC). RoAPAC includes Singapore, Malaysia, Thailand, Australia, and New Zealand. Among all the countries in APAC, China held the largest share of the AI in manufacturing market in 2021.

APAC, led by China, Japan, and South Korea, is considered the largest market for industrial robots. Industrial robots generate a huge amount of data. This data is used in deep learning algorithms to further train the robots. This would act as one of the major drivers for the AI in manufacturing market in APAC. APAC is also considered to have the most number of manufacturing plants in the world. There are a few dark plants in China, where only robots work without any human intervention. AI implementation can make robots smarter, reduce the downtime of machines, and increase productivity.

Advancement in deep learning and supervised learning manufacturing industry to drive growth of AI in manufacturing market for machine learning

Machine learning (ML) enables systems to improve their performance automatically with experience. ML helps develop a computer program/algorithm that can access data and use it to train itself without human intervention. ML is adopted to deal with large volumes of data. The time previously dedicated to analyzing charts and spreadsheets is now being utilized to seek intelligent ways to automate data analysis. ML includes various technologies, such as deep learning, supervised learning, unsupervised learning, and reinforcement learning.

Extensive use of big data in production planning to fuel market growth

Production planning is a process that combines and transforms various resources used in the production system in a manufacturing plant. The AI system executes the interrelated operational activities involved in the manufacturing processes. The deep learning-based algorithm uses many functions such as Programme Evaluation Review Technique (PERT)/Critical Path Method (CPM) to optimize the production planning under various conditions. The use of AI in production planning leads to the standardization of product and process sequence, dedicated special-purpose machines having higher production capacities and output rates, short production cycle time, perfectly balanced production lines, faster flow of materials, and easy material handling.

The key players operating in the artificial intelligence in manufacturing market NVIDIA (US), IBM (US), Intel (US), Siemens (Germany), General Electric (US), Google (US), Microsoft Corporation (US), and Micron Technology (US). The players in this market have adopted various strategies to expand their global presence and increase their market shares.

Don’t miss out on business opportunities in Artificial Intelligence in Manufacturing Market. Speak to our analyst and gain crucial industry insights that will help your business grow.

About MarketsandMarkets™

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

Contact:
Mr. Aashish Mehra
MarketsandMarkets™ INC.
630 Dundee Road
Suite 430
Northbrook, IL 60062

Artificial Intelligence in Manufacturing Market worth 16.3 Billion USD in next 5 years

 

According to a research report "Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, and Services), Industry, Application, Technology (Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision), & Region - Global Forecast to 2027" published by MarketsandMarkets, the global Artificial Intelligence in Manufacturing market size is projected to grow from USD 2.3 billion in 2022 to USD 16.3 billion by 2027, it is expected to grow at a CAGR of 47.9% from 2022 to 2027.

• Informational PDF Brochure :-
https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=72679105

Browse 195 market data Tables and 58 Figures spread through 270 Pages and in-depth TOC on "Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, and Services), Industry, Application, Technology (Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision), & Region - Global Forecast to 2027"
View detailed Table of Content here - https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-manufacturing-market-72679105.html

The key factors contributing to the growth of artificial intelligence in manufacturing market include improving computing power of AI chipsets and increasing venture capital investments in manufacturing AI space. However, increasing venture capital investments in manufacturing AI space is hindering the growth of artificial intelligence in manufacturing market. Limited availability of skilled workforce, especially in developing countries possesses a huge challenge to the industry. However, growing focus on boosting operational efficiency of manufacturing plants is the biggest opportunity in the market space with Asia Pacific having the highest market share and CAGR for the forecast period.

Development of sophisticated hard and soft sensors to boost growth of context-aware computing segment

By using context awareness technology, a control system called Manufacturing Execution System (MES) is designed for managing and monitoring works in a factory, which is based on the dynamic and complex production process in the manufacturing plant. The context-awareness architecture establishes the dynamic interaction properties of the system more thoroughly and guides object specification and abstraction tasks in machine language. This technology provides computing environments with the ability to learn and adopt the context by sensing through different sensors and automatically provides feedback to the user. This service makes the operator attentive, responsive, and predictive. In the manufacturing plant, the production quantity varies on many uncertain factors, including internal and external factors such as random orders, sudden equipment fault, supply modification, and runtime restriction. Context-aware technology finds customized solutions and arranges the machines accordingly for the issues mentioned above. Siemens (Germany) and General Motors (US) use context awareness technology in their plants. Additionally, context-aware information distribution may offer substantial value to industries. It provides task-relevant information or services to users on a manufacturing shop floor, improving decision-making through context-driven recommendations.

Asia Pacific exhibit the highest CAGR during the forecast period

APAC is likely to be the highest contributor in terms of market size and growth rate in the overall AI in manufacturing market during the forecast period. This market in APAC is further divided into China, Japan, South Korea, India, and Rest of APAC (RoAPAC). RoAPAC includes Singapore, Malaysia, Thailand, Australia, and New Zealand. Among all the countries in APAC, China held the largest share of the AI in manufacturing market in 2021.

APAC, led by China, Japan, and South Korea, is considered the largest market for industrial robots. Industrial robots generate a huge amount of data. This data is used in deep learning algorithms to further train the robots. This would act as one of the major drivers for the AI in manufacturing market in APAC. APAC is also considered to have the most number of manufacturing plants in the world. There are a few dark plants in China, where only robots work without any human intervention. AI implementation can make robots smarter, reduce the downtime of machines, and increase productivity.

Advancement in deep learning and supervised learning manufacturing industry to drive growth of AI in manufacturing market for machine learning

Machine learning (ML) enables systems to improve their performance automatically with experience. ML helps develop a computer program/algorithm that can access data and use it to train itself without human intervention. ML is adopted to deal with large volumes of data. The time previously dedicated to analyzing charts and spreadsheets is now being utilized to seek intelligent ways to automate data analysis. ML includes various technologies, such as deep learning, supervised learning, unsupervised learning, and reinforcement learning.

Extensive use of big data in production planning to fuel market growth

Production planning is a process that combines and transforms various resources used in the production system in a manufacturing plant. The AI system executes the interrelated operational activities involved in the manufacturing processes. The deep learning-based algorithm uses many functions such as Programme Evaluation Review Technique (PERT)/Critical Path Method (CPM) to optimize the production planning under various conditions. The use of AI in production planning leads to the standardization of product and process sequence, dedicated special-purpose machines having higher production capacities and output rates, short production cycle time, perfectly balanced production lines, faster flow of materials, and easy material handling.

The key players operating in the artificial intelligence in manufacturing market NVIDIA (US), IBM (US), Intel (US), Siemens (Germany), General Electric (US), Google (US), Microsoft Corporation (US), and Micron Technology (US). The players in this market have adopted various strategies to expand their global presence and increase their market shares.

Don’t miss out on business opportunities in Artificial Intelligence in Manufacturing Market. Speak to our analyst and gain crucial industry insights that will help your business grow.

About MarketsandMarkets™

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

Contact:
Mr. Aashish Mehra
MarketsandMarkets™ INC.
630 Dundee Road
Suite 430
Northbrook, IL 60062

Artificial Intelligence in Manufacturing Market Growth worth $16.3 Billion Impact Analysis by 2027

Recent Developments in the Global Artificial Intelligence in Manufacturing Market

1. January #2022 : NVIDIA launched GeForce RTX 3050, a product that brings next-generation graphics and AI to games. The RTX line-up uses ray tracing technology for real-time, cinematic quality rendering. The product also features deep learning super sampling and boosts frame rate.

2. December #2021 : IBM launched IBM Z and Cloud Modernization Center a digital platform with a wide range of tools and resources, as well as ecosystem partners, which will help users accelerate the modernization of data, processes, and applications in an open hybrid cloud architecture.

Projected Surge in Revenue Generation:

[270 Pages Report] Artificial intelligence in manufacturing market size is valued at USD 2.3 billion in 2022 and is anticipated to USD 16.3 billion by 2027; growing at a CAGR of 47.9% from 2022 to 2027. Factors such increasing awareness about passenger and vehicle safety are driving the growth of the market during the forecast period.

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Semiconductor & Electronics Industry to register highest CAGR during forecast period

In the semiconductor & electronics industry, AI is used for production planning, quality control, and material movement. Implementing AI-based solutions is expected to benefit manufacturers in optimizing the production cost, technology implementation, and integration of components. This data helps in planning and maintaining the production process efficiently. Thus, AI solutions help the companies operating in the semiconductor & electronics equipment industry to analyze the data collected at all points to aid improved decision-making for the manufacturing process and register the highest growth potential.

Software segment to hold largest share of AI in manufacturing market during the forecast period

Software itself can run specific applications without using any additional hardware. The AI-related additional hardware is needed in the case of faster calculations in manufacturing, e.g., in predictive analysis and machine inspection, quality control, and fieldwork. Rising demand for software, especially in predictive maintenance and quality control applications, and widening application scope of AI in the manufacturing sector are the prime factors fueling the growth of the market for AI platforms.

Rising adoption of AI-based quality control systems to drive market growth

AI-based quality control applications enable plant operators to quickly detect property variations during the production time. These AI-based applications of quality control rely on 3- and 2-dimensional data, which is collected by a laser-based aggregate scanning system that converts data into digital images. These wavelet-based features are used as inputs to an artificial neural network, which is used to assign a predefined class to the sample. This quality control helps a plant operator to verify the quality of products.

Presence of world-leading manufacturing companies boosts AI in manufacturing market growth in Japan

Japan has launched an initiative—Industrial Value Chain Initiative—to explore advanced technologies. Mitsubishi Electric, Fujitsu, Nissan Motor, and Panasonic are among the top companies that cater to major businesses in the electric, IT, machinery, and automobile fields. Connected machines and transport robots are being used on the shop floor of companies such as Toyota for a long time. Moreover, the ministries have been promoting IT projects in the country. Japan is strong in information and communication technology, manufacturing processes, automotive and machinery industries, automatization and robot technologies and electronic parts.

Major Growth Boosting Factors:

Japan-based companies Fujitsu (Japan) and Hitachi (Japan) are renowned providers of big data and cybersecurity solutions to diverse sectors, ranging from agriculture to manufacturing and services. This has resulted in the adoption of AI in manufacturing industries in Japan. Japan established a phased development plan for AI to develop and apply data-powered AI in various fields; to build an AI ecosystem by connecting different fields.

Related Article : https://yourstory.com/mystory/future-artificial-intelligence-manufacturing-industries/amp

About MarketsandMarkets™

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

Contact:
Mr. Aashish Mehra
MarketsandMarkets™ INC.
630 Dundee Road
Suite 430
Northbrook, IL 60062

AI in Manufacturing Market demand outlook to strengthen its worth $16.7 billion by 2026

 

The report "Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, and Services), Technology (Machine Learning, Computer Vision, Context-Aware Computing, and NLP), Application, End-user Industry and Region - Global Forecast to 2026", is expected to be valued at USD 1.1 billion in 2020 and is likely to reach USD 16.7 billion by 2026; it is expected to grow at a CAGR of 57.2% during the forecast period. The major drivers for the market are the increasing number of large and complex datasets (often known as big data), evolving Industrial IoT and automation, improving computing power, and increasing venture capital investments.

- Informational PDF Brochure :-
https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=72679105

Browse 219 market data Tables and 58 Figures spread through 301 Pages and in-depth TOC on "Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, and Services), Technology (Machine Learning, Computer Vision, Context-Aware Computing, and NLP), Application, End-user Industry and Region - Global Forecast to 2026"
View detailed Table of Content here - https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-manufacturing-market-72679105.html

The hardware segment in the AI in manufacturing market projected to grow at highest CAGR during forecast period

The hardware segment is projected to grow at the highest CAGR from 2020 to 2026. Most of the AI hardware manufacturers have been in the business of providing the same hardware components for other technologies such as connected cars, machine vision cameras, and IoT for a long time. This will enable the companies to transfer the technology easily and accordingly develop the AI hardware. Moreover, the increasing participation of startups in AI hardware is complementing the growth of the hardware segment.

Quality control application of AI in manufacturing market to grow at highest CAGR during forecast period

The quality control application is expected to register the highest CAGR during the forecast period. Governments impose regulations on maintaining the quality according to certain benchmarks; for instance, the USD Food and Drug Administration (FDA) imposes stringent guidelines to regulate the quality of pharmaceutical products in accordance with the Current Good Manufacturing Practices (CGMPs). The growing use of robotics and deep learning technology in the manufacturing industry is expected to drive the growth of the AI in manufacturing market for the quality control application

AI in manufacturing market in APAC projected to grow at highest CAGR from 2020 to 2026

The AI in manufacturing market in APAC is expected to grow at the highest CAGR during 2020–2026. The presence of a large number of industries, especially in countries such as China, India, and Taiwan is resulting in the adoption of AI in the manufacturing sector in APAC. The increasing adoption of AI-based robots is also fueling the market’s growth in this region.

NVIDIA Corporation (US), IBM Corporation (US), Alphabet Inc. (Google) (US), Microsoft Corporation (US), Intel Corporation (US), Siemens AG (Germany), General Electric Company (US), General Vision Inc. (US), Progress Software Corporation (US), Micron Technology Inc., (US), Mitsubishi Electric Corporation (Japan), Sight Machine (US), Cisco Systems Inc., (US), and SAP SE (Germany) are the prominent players of AI in manufacturing market.

About MarketsandMarkets™

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

Our 850 fulltime analyst and SMEs at MarketsandMarkets™ are tracking global high growth markets following the "Growth Engagement Model – GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets™ now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets™ is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

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Contact:
Mr. Aashish Mehra
MarketsandMarkets™ INC.
630 Dundee Road
Suite 430
Northbrook, IL 60062
USA : 1-888-600-6441