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Artificial Industrial in Manufacturing Companies

The convergence of artificial intelligence and manufacturing has given rise to the Artificial Intelligence in Manufacturing Market. This market entails the integration of AI technologies, such as machine learning and robotics, into manufacturing processes. From predictive maintenance and quality control to supply chain optimization, AI in manufacturing enhances efficiency, reduces costs, and accelerates innovation. As industries embrace Industry 4.0, the Artificial Intelligence in Manufacturing Market plays a pivotal role in reshaping the future of production.

Artificial Industrial in Manufacturing Market

Competitive Landscape of Artificial Industrial in Manufacturing Market:

The Artificial Intelligence (AI) in Manufacturing sector has witnessed substantial growth in recent years, driven by the increasing need for operational efficiency, predictive maintenance, and quality control in the manufacturing processes. AI technologies are being integrated into various aspects of manufacturing, from production planning and resource optimization to defect detection and supply chain management.

Key Players:

  • SAP SE (Germany)

  • Intel Corporation¬†(U.S.)

  • Oracle Corporation (U.S.)

  • Siemens AG (Germany)

  • Mitsubishi Electric Corporation (Japan)

  • IBM Corporation¬†(U.S.)

  • Rockwell Automation Inc.¬†(U.S.)

  • Alphabet Inc. (U.S.)

  • General Vision, Inc. (U.S)

  • Microsoft Corporation (U.S.)

  • Data RPM, Sight Machine (U.S)

  • Cisco Systems, Inc. (U.S)

  • General Electric Company (US)

Strategies Adopted:

  • Predictive Maintenance:¬†Many companies are leveraging AI for predictive maintenance to identify equipment failures before they occur, reducing downtime and maintenance costs.

  • Quality Control:¬†AI is extensively used for quality control in manufacturing, enabling real-time defect detection and ensuring higher product quality.

  • Supply Chain Optimization:¬†AI aids in optimizing the supply chain by predicting demand, managing inventory efficiently, and improving overall logistics.

  • Process Automation:¬†Automation of manufacturing processes using AI enhances efficiency and reduces the need for manual intervention, leading to increased productivity.

Factors for Market Share Analysis:

  • Technology Integration:¬†The extent to which AI technologies are seamlessly integrated into manufacturing processes determines a company's competitive edge.

  • Industry Collaboration:¬†Partnerships and collaborations with other technology providers and manufacturers play a crucial role in market share. Companies that establish strong industry alliances often have a broader market reach.

  • Innovation and R&D:¬†Continuous innovation in AI applications for manufacturing and substantial investment in research and development contribute significantly to market share.

  • Global Presence:¬†The ability to cater to a global market and adapt AI solutions to diverse manufacturing environments is a key factor in gaining and maintaining market share.

  • Customer Satisfaction:¬†Meeting customer expectations and providing reliable AI solutions that address specific manufacturing challenges contribute to market dominance.

New and Emerging Companies:

  • Cognex Corporation:¬†Emerging as a key player, Cognex specializes in machine vision and industrial barcode reading. The company's AI applications focus on improving production line efficiency and quality control.

  • Bosch Rexroth:¬†With a focus on connected manufacturing, Bosch Rexroth is an emerging player integrating AI for optimizing factory processes and predictive maintenance.

  • Sight Machine:¬†This startup specializes in manufacturing analytics, providing AI-driven insights to improve operational performance and overall equipment effectiveness.

  • Augury:¬†Augury focuses on predictive maintenance solutions using AI for monitoring the health of industrial machinery, reducing unplanned downtime.

  • Uptake:¬†Uptake offers AI-powered solutions for asset performance management, providing manufacturers with actionable insights to optimize operations.

Current Company Investment Trends:

  • AI Research and Development:¬†Key players are heavily investing in AI research and development to stay ahead of the curve and offer cutting-edge solutions.

  • Strategic Acquisitions:¬†Companies are actively acquiring AI startups and technology firms to expand their AI capabilities and broaden their portfolio of offerings.

  • Global Expansion:¬†Investments are directed towards expanding global footprints to tap into emerging markets with growing manufacturing sectors.

  • Customer-Centric Solutions:¬†AI companies are increasingly focusing on developing customized solutions that address specific challenges faced by manufacturers, enhancing customer satisfaction.

  • Training and Skill Development:¬†Investments in training programs and skill development initiatives are on the rise to ensure a skilled workforce capable of implementing and maintaining AI-driven manufacturing solutions.

Latest Company Updates:

October 26, 2023: Siemens Partners with NVIDIA to Develop AI-powered Digital Twins for Factories - Siemens and NVIDIA announced a collaboration to create AI-powered digital twins for factories, enabling real-time optimization of production processes and predictive maintenance.

November 10, 2023: Bosch Invests $1 Billion in AI for Manufacturing - Bosch announced a $1 billion investment in artificial intelligence for manufacturing, focusing on areas like predictive maintenance, quality control, and process optimization.

December 5, 2023: Microsoft and Rockwell Automation Expand Partnership for Industrial AI - Microsoft and Rockwell Automation expanded their partnership to develop and deploy industrial AI solutions for manufacturers, leveraging Microsoft Azure and Rockwell Automation's FactoryTalk platform.

December 14, 2023: World Economic Forum Releases Report on AI in Manufacturing - The World Economic Forum released a report titled "Harnessing AI for Good in Manufacturing," highlighting the potential and challenges of AI in the manufacturing industry.

December 2023: Predictive maintenance gaining traction - General Vision, Inc. announces a new AI-powered predictive maintenance platform aimed at reducing downtime and optimizing production efficiency. ABB acquires AI startup to strengthen its AI in manufacturing offerings - ABB acquires Infrarail, a leading AI startup focused on predictive maintenance for rail infrastructure, expanding its AI capabilities for industrial applications. Siemens invests in AI and robotics startups - Siemens announces a new venture capital fund focusing on early-stage AI and robotics companies with applications in manufacturing.

January 2024: Robotics and AI collaboration - Rockwell Automation and Cisco Systems partner to develop integrated AI-powered robotics solutions for manufacturers.


Artificial Industrial in Manufacturing Market Overview 

As the artificial industrial in the global manufacturing market is skyrocketing in recent times, the market valuation is anticipated to reach approximately USD 24.3 billion by 2030 with a CAGR of 46.20% between 2022 and 2030.

The application of artificial intelligence or AI in different industries is generally termed artificial industrial. It is the replication of human processes performed by computer systems and several machines. These solutions identify trends and patterns in the industry’s manufacturing processes, making it more efficient while reducing energy consumption. The artificial industrial in manufacturing market helps in getting the information and defines the corrections. With the advent of technology, the reduced cost and highly efficient robots are going to advantage the manufacturing units. The increased developments of artificial intelligence for better industrial performance are escalating the growth of artificial industries in the global manufacturing market.Artificial Industrial in Manufacturing Market

Over the years, AI in the manufacturing market has become highly competitive. Several renowned international brands, local brands, and new entrants are making a great competitive landscape. The market top players are constantly putting in efforts for the further expansion of the market through various mergers and acquisitions. In addition, the key players are bringing new innovations to the market to benefit the users more and more. 

The elevating investments in the research and development sector, as well as the creation of a cost-effective product portfolio by the market players, is going to create huge demand for the artificial industrial in manufacturing industry. The growth of big data technology and artificial intelligence for enhancing the operational efficiency of the manufacturing processes has surged the overall growth of AI in manufacturing market. Even the presence of large vendors is creating competitiveness which further propels the market potential. All such factors are responsible for the expansion of the global market size in the upcoming years.

The report focuses on the artificial industrial in manufacturing market structure along with the forecasted valuation and the growth rate of the market. It discusses the impact of the COVID19 pandemic on the artificial industrial in manufacturing Industry. It also includes several factors affecting the market growth and describes different segments of the market. The report also includes key market players that have major control over the market growth and highlights different geographies which can influence the overall market.

Industry News of Artificial Industrial in Manufacturing

  • The International Council for Harmonization (ICH) final guidance, "Q13 Continuous Manufacturing of Drug Substances and Drug Products," and a discussion paper for stakeholder input, "Discussion Paper: Artificial Intelligence in Drug Manufacturing," were released by the United States Food and Drug Administration (FDA) in March 2023. These documents show the proactive measures taken by FDA to encourage the pharmaceutical industry to embrace these cutting-edge production techniques. The FDA has long backed cutting-edge manufacturing techniques that could enhance the quality of production processes and address the root causes of medicine shortages and recalls.

COVID19 Analysis

The wave of the COVID19 pandemic critically impacted the entire globe, from health to finance. The economic growth rate degraded to the lowest levels. Almost all sectors faced the adverse effects of the pandemic and cannot continue their normal functioning. In the lockdown, the stringent regulations restricted industries and production units from working properly, thus creating a gap in the supply chain. Even though the artificial industrial in manufacturing market did suffer in the pandemic, the inclination of several industries towards automation and artificial intelligence restored the market growth.

During the pandemic, several industries encountered the problem of performing manual operations, and therefore, the demand for artificial industrial in manufacturing processes escalated. The key market players also attempted their best to provide solutions that can ease the industrial operation, which in turn led to the progression of the AI market to stupendous heights in the coming years.

Market Dynamics

  • Major Drivers of The Market

The artificial industrial in manufacturing market is soaring up at a faster rate in the present times due to the rising adoption and implementation of big data technology in manufacturing processes. The more developments are made in the industrial internet of things, the more demand for these technologies is elevating in the industries. With the extensive utilization of robots in production units, operational efficiency increases numerous times. This is the reason for the upsurge in need for such technology in production plants. Computer vision technology is also a great factor for pushing artificial industrial in manufacturing market growth to optimum levels in today’s day and age.

As the cross-industry platforms and collaborations are growing rapidly, the market growth is also emerging high. With the increasing capital venture investments, the artificial industrial in the global manufacturing market is expected to attain its maximum momentum in the near future.

  • Significant Opportunities for The Market

With the major revolutions in operational technologies due to the incorporation of artificial industrial, a substantial rise is witnessed in the growth of artificial industrial in manufacturing industry. Moreover, the presence of many big vendors and the hugely competitive environment are boosting the expansion of market size. From established international brands to new entrants, everyone is putting efforts in bringing new innovations in artificial industrial-based technologies. 

Through strategic mergers and acquisitions, escalating investments in research and development, the key market players are creating numerous opportunities for market growth. Several cost-effective products and highly efficient systems will result in fulfilling the requirements of the manufacturing units. As technology is advancing, more demand for artificial industrial is happening, which results in an upsurge in the artificial industrial in manufacturing industry.

  • Market Restraints

The consequences of the coronavirus outbreak affected the entire artificial industrial in manufacturing market. During the lockdown, the normal functioning of several sectors was restricted, and many projects got delayed for an uncertain time period. However, as the industrial manual operations were limited, the demand for automation systems and artificial industrial elevated. This helped to maintain a normal artificial industrial in manufacturing industry growth.

  • Market Growth Challenges

Even though the artificial industrial in the global manufacturing market has innumerable opportunities to progress, there are certain challenges too in the market. The reluctance of industries to adopt artificial industrial technologies and the expensive technical integrations and technological innovations are some reasons that can hinder the market growth. The data privacy concerns are also responsible for limiting the growth of the artificial industrial in manufacturing market.

  • Cumulative Growth Analysis

As per the artificial industrial in manufacturing market analysis, the rising demand for advanced operation technologies in manufacturing plants is enhancing the market value. The global AI market over the past couple of years is surfacing rapidly, and the market size is anticipated to be elevated at lightning speed with a growth rate of 46.20% during the forecast years 2022-2030.

Segment Overview

The artificial industrial in manufacturing market is fragmented into certain segments based on technology, component, end-users, and region.

  • By technology:

    The technology segment of artificial industrial in manufacturing market includes natural language processing, computer vision, context awareness, deep learning, and many more.

  • By Component:

    It includes hardware and software segments. Out of these, the software section will have the largest market share as it allows to identify relevant insights and helps in predictive maintenance of the manufacturing unit operators.

  • By end-users:

    The market segment on the basis of end-users comprises the automobile, electronics, healthcare, manufacturing, energy and power, semiconductor, food and beverages, and many other sectors.

  • By region:

    The global AI market is analyzed in several geographical areas such as North America, Asia-Pacific, Europe, and other parts of the World.

Regional Insights

The artificial industrial in manufacturing market analysis is done in different geographical regions like North America, Europe, Asia-Pacific, and remaining parts of the World. The North American region holds the largest artificial industrial in manufacturing market share, where countries like the US and Canada contributed the most. The escalating demand for high-end technologies increased R&D, and stringent regulation related to environment-friendly technologies is pushing the market growth in this region. 

In Asia-Pacific, the presence of numerous manufacturers and rising consumer electronics and automotive industries growth will elevate the market growth in the region in the forecast years.

Competitive Landscape

The artificial industrial in manufacturing industry top players are:

  • SAP SE (Germany)

  • Intel Corporation (U.S.)

  • Oracle Corporation (U.S.)

  • Siemens AG (Germany)

  • Mitsubishi Electric Corporation (Japan)

  • IBM Corporation (U.S.)

  • Alphabet Inc. (U.S.)

  • General Vision, Inc. (U.S)

  • Rockwell Automation Inc. (U.S.)

  • Microsoft Corporation (U.S.)

  • Data RPM, Sight Machine (U.S)

  • Cisco Systems, Inc. (U.S)

  • General Electric Company (US)

Recent Developments

  • The IT/OT convergence or Information technology or operations technology convergence is progressing as it can enhance cybersecurity. It converges information about electrical assets and the production process that improves sustainability across the life cycle of the manufacturing plant.

  • The remote access of operations in real-time due to developments in artificial intelligence is a current trend that will rapidly progress in the near future.

Report Overview

The report highlights the insights of the overall market structure and portrays the impact of the COVID19 pandemic on the market. It describes the market dynamics, including drivers and restraints of the artificial industrial in manufacturing market. A segment overview is provided for giving an idea about several segments, and regional analysis is also included in the report. It mentions the competitive landscape of the market and recent developments that can progress the market growth.

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