Artificial Intelligence (AI) in Manufacturing Market Expands Footprints in United States 2021-2027 || NVIDIA Corporation, IBM, Alphabet, Google, Microsoft, Siemens AG

Artificial Intelligence (AI) in Manufacturing Market

Latest added Artificial Intelligence (AI) in Manufacturing Market research study by MarketDigits offers detailed product outlook and elaborates market review till 2027. The market Study is segmented by key regions that is accelerating the marketization. At present, the market is sharping its presence and some of the key players in the study are NVIDIA Corporation, IBM Corporation, Alphabet Inc., Google, Microsoft Corporation, Intel Corporation, Siemens AG, General Electric Company, General Vision Inc., Progress Software Corporation, Micron Technology Inc., and Mitsubishi Electric Corporation. The study is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.

The artificial intelligence (AI) in manufacturing market size is projected to reach USD 19.9 Billion by 2026, from USD 1.4 Billion in 2020 growing at a CAGR of 55.7% during 2021-2026.

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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.

COVID-19 Impact on the Global AI in Manufacturing Market

The ongoing COVID-19 pandemic has caused disruptions in economies. It is likely to cause supply chain mayhem and eventually force companies and entire industries to rethink and adapt to the global supply chain model. Many manufacturing companies have halted their production, which has collaterally damaged the supply chain and the industry. The industries have started to restructure their business model for 2020, and many SMEs and large manufacturing plants have halted/postponed any new technology upgrade in their factories in order to recover from the losses caused by the lockdown and economic slowdown.

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The growth in the adoption of AI solutions is completely dependent on the growth of manufacturing units. However, in the current situation, manufacturing ecosystems have been disrupted, and thus, the growth of AI solutions will also get affected negatively in such industries. On the other hand, industries such as pharmaceuticals are expected to witness a moderate impact. Many factors have contributed to the disruptions in manufacturing industries. Broadly, three major factors are disrupting the manufacturing industries, namely, supply chain disruption, shutdown of manufacturing units, and decrease in demand amidst lockdown in many countries.

AI in Manufacturing Market Dynamics

Driver: Evolution of industrial IoT and automation

Industrial Internet of Things (IIoT) plays a key role in the adoption of AI-based technology in the manufacturing sector. Industrial IoT makes industrial processes efficient, productive, and innovative by enabling an architecture that provides real-time information about operational and business systems. The data that is derived from the IoTs need to be converted into instructions that would instruct the machines to perform specific activities. These instructions designed by an AI system learn human behavior through deep learning, context awareness, and natural language processing (NLP). The AI-based system takes lesser time and can work continuously without error. As a result, manufacturing efficiency improves, which further helps in business growth.

Restraint: Reluctance among manufacturers to adopt AI-based technologies

AI technologies offer manufacturers the tools that would help them in a better predictive maintenance and machinery inspection process. However, manufacturers are reluctant to adopt new technologies or AI-based solutions in their costly machines or equipment. Any mismanagement could add to the costs. Furthermore, many manufacturers are doubtful about the capabilities of AI-based solutions in terms of the accuracy of the maintenance and inspection processes. Considering these factors, it is slightly difficult to convince the manufacturers and make them understand that AI-based solutions are cost-effective, efficient, and safe. However, manufacturers are now increasingly accepting the potential benefits of AI-based solutions and the spectrum of applications they serve.

Opportunities: Adoption of automation technologies to curb effects of COVID-19

Adoption of automation technologies such as artificial intelligence, robotics, and the Industrial Internet of Things is among the most critical factors for restarting the business operations of the manufacturing sector during this global pandemic. Large-scale lockdowns, shortage of labor force, and supply chain disruptions are likely to drive the automation needs across the manufacturing sector. AI-based solutions could help manufacturers to digitally transform operations (such as autonomous material movement using industrial robots) and make prompt data-driven decisions. In addition, AI can play a crucial role in automating several stages of manufacturing and limit human involvement.

Challenges: Limited skilled workforce

For developing, managing, and implementing AI systems that are complex in nature, companies require a workforce with certain skill sets, i.e., personnel dealing with AI systems should be aware of technologies such as cognitive computing, ML and machine intelligence, deep learning, and image recognition. In addition, the integration of AI solutions into existing systems is a difficult task requiring extensive data processing for replicating a human brain behavior. Even a minor error can result in system failure or can adversely affect the desired result. Furthermore, the absence of professional standards and certifications in AI/ML technologies is restraining the growth of AI. Additionally, AI service providers are facing challenges with regard to deploying/servicing their solutions at their customers’ sites. This is because of the lack of technology awareness and expertise.

AI in manufacturing market for hardware segment is expected to dominate in the APAC region

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. A large number of manufacturing plants, huge presence of hardware manufacturers, and high adoption rate of robotics in China, Japan, and South Korea are driving the growth of the AI in manufacturing market in the APAC region

Predictive maintenance and machinery inspection application is projected to hold the largest share during forecast period

The predictive maintenance and machinery inspection application expected to hold the largest share of the AI in manufacturing market from 2020-2027. Extensive use of computer vision cameras in machinery inspection, adoption of Industrial Internet of Things (IIoT), and use of big data in the manufacturing industry are the factors driving the growth ofmarket for the predictive maintenance and machinery inspection application. The increasing demand for reducing the operational costs and machine downtime is also supplementing the growth of predictive maintenance and machinery inspection application in industries.

Deep learning technology expected to be extensively adopted during the forecast period

The market for deep learning technology is estimated to witness the highest growth throughout the forecast period. Growing adoption of deep learning in various manufacturing applications, rapid adoption of robotics in the manufacturing industry, and the huge volume of data generated by the computer vision technology, and big data are driving the growth of the AI in manufacturing market for deep learning technology.

The adoption of AI based manufacturing technology was significant in the APAC region

APAC accounted for the largest share of the AI in manufacturing market. The presence of a large number of manufacturing companies in China and Japan, along with the strong presence of automobile and electronics and semiconductor companies, is driving the growth of market in APAC. Moreover, the high adoption of industrial robots is expected to play a vital role in the growth of the said market in APAC.

Due the COVID-19 pandemic, lockdown has been implemented in APAC, especially in China, which has led to supply chain disruptions, which have eventually affected the global economy. China was successful in containing the COVID-19 outbreak in Wuhan by implementing lockdown, and the same model was replicated across other countries in APAC. The decrease in the number of COVID-19 patients in China is slowly leading to normalcy in manufacturing activities. This, in turn, is expected to drive the growth of the AI in manufacturing market in APAC. However, it is expected that this growth will not be as significant as it would have been in the pre-COVID-19 estimates.

AI in manufacturing market is dominated by globally established players such as NVIDIA (US), IBM (US), Intel (US), Siemens (Germany), and General Electric Company (US).

Scope of the report

AI in manufacturing market segmentation:

In this report, the AI in manufacturing market has been segmented into the following categories:

Artificial Intelligence (AI) in Manufacturing Market: Based on Offering:

  • Hardware
    • Processor
    • Memory
    • Network
  • Software
    • AI Solutions
    • AI Platform
  • Services
    • Deployment & Integration
    • Support & Maintenance

Artificial Intelligence (AI) in Manufacturing Market: Based on Technology:

  • Machine Learning
    • Deep Learning
    • Supervised Learning
    • Reinforced Learning
    • Unsupervised Learning
    • Others
  • Natural Language Processing
  • Context-aware Computing
  • Computer Vision

Artificial Intelligence (AI) in Manufacturing Market: Based on Application:

  • Predictive Maintenance and Machinery Inspection
  • Material Movement
  • Production Planning
  • Field Services
  • Quality Control
  • Cybersecurity
  • Industrial Robots
  • Reclaimation

Artificial Intelligence (AI) in Manufacturing Market: Based on Industry:

  • Automobile
  • Energy and Power
  • Pharmaceuticals
  • Heavy Metals and Machine Manufacturing
  • Seiconductors and Electronics
  • Food & Beverages
  • Others

Artificial Intelligence (AI) in Manufacturing Market: Based on Region:

  • North America
  • Europe
  • Asia Pacific
  • Rest of the World (RoW)

A comprehensive analysis of the market structure along with the forecast of the various segments and sub-segments of the market have been delivered through this Artificial Intelligence (AI) in Manufacturing market report. The market research and analysis performed in this business report assists clients to forecast investment in an emerging market, expansion of market share or success of a new product. The market is greatly transforming because of the moves of the key players & brands including developments, product launches, joint ventures, mergers & acquisitions that in turn changes the view of the global face of industry.

Table of Contents: Artificial Intelligence (AI) in Manufacturing Market

Part 01: Executive Summary

Part 02: Scope Of The Report

Part 03: Research Methodology

Part 04: Market Landscape

Part 05: Pipeline Analysis

Part 06: Market Sizing

Part 07: Five Forces Analysis

Part 08: Market Segmentation

Part 09: Customer Landscape

Part 10: Regional Landscape

Part 11: Decision Framework

Part 12: Drivers And Challenges

Part 13: Market Trends

Part 14: Vendor Landscape

Part 15: Vendor Analysis

Part 16: Appendix

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