AI in Manufacturing Global Market Report 2024

“AI in Manufacturing Global Market Report 2024 ” from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in manufacturing market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

• Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
• Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
• Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
• Measure the impact of high global inflation on market growth.
• Create regional and country strategies on the basis of local data and analysis.
• Identify growth segments for investment.
• Outperform competitors using forecast data and the drivers and trends shaping the market.
• Understand customers based on the latest market shares.
• Benchmark performance against key competitors.
• Suitable for supporting your internal and external presentations with reliable high quality data and analysis
• Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
• All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for ai in manufacturing? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? “The ai in manufacturing market global report ” from The Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

• 1) By Offering: Hardware; Software; Services
• 2) By Technology: Machine Learning; Natural Language Processing; Context-Aware Computing; Computer Vision
• 3) By Deployment: Cloud; On-Premise
• 4) By Application: Predictive maintenance and machinery inspection; Material Movement; Production Planning; Field Services; Quality Control; Cybersecurity; Industrial Robots; Reclamation
• 5) By Industry: Automobile; Energy And Power; Semiconductor And Electronics; Pharmaceutical; Heavy Metal And Machine Manufacturing; Food And Beverage; Other Industries
• Companies Mentioned: Nvidia Corporation; The International Business Machines Corporation; Siemens AG; General Electric Company; SAP SE
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

Executive Summary

AI in manufacturing refers to the incorporation of artificial intelligence (AI) technologies into the manufacturing process, aiming to enhance efficiency, productivity, and product quality. This integration involves the utilization of machine learning algorithms, computer vision, robotics, and other AI tools to analyze data, automate processes, and optimize overall production. By leveraging AI in manufacturing, companies can achieve cost reductions, improve the quality of their products, and enhance overall operational performance.

The primary types of AI technologies applied in manufacturing include machine learning, natural language processing, context-aware computing, and computer vision. Machine learning, as a subset of AI, focuses on developing algorithms and statistical models that enable computer systems to learn from data, allowing them to make predictions or decisions without explicit programming. These AI technologies are available in the form of hardware, software, and services, with deployment options including cloud-based and on-premises solutions. Their applications span various areas such as predictive maintenance, machinery inspection, material movement, production planning, field services, quality control, cybersecurity, industrial robots, and reclamation. Industries benefiting from AI in manufacturing include automobiles, energy and power, semiconductors and electronics, pharmaceuticals, heavy metal and machine manufacturing, food and beverage, among others.

The AI in manufacturing market research report is one of a series of new reports from The Business Research Company that provides AI in manufacturing market statistics, including the AI in manufacturing industry global market size, regional shares, competitors with a AI in manufacturing market share, detailed AI in manufacturing market segments, market trends, and opportunities, and any further data you may need to thrive in the AI in manufacturing industry. This AI in manufacturing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The ai in manufacturing market size has grown exponentially in recent years. It will grow from $2.88 billion in 2023 to $3.98 billion in 2024 at a compound annual growth rate (CAGR) of 38.1%. The growth observed in the historical period can be attributed to several factors, including a focus on energy efficiency and sustainability, the demand for customization and personalization, the implementation of cost reduction measures, efforts in workforce upskilling and training, and optimization of the supply chain.

The ai in manufacturing market size is expected to see exponential growth in the next few years. It will grow to $13.53 billion in 2028 at a compound annual growth rate (CAGR) of 35.8%. The anticipated growth in the forecast period can be attributed to various factors, including the widespread adoption of edge computing, the implementation of green manufacturing initiatives, a heightened focus on cybersecurity, the enhancement of human-machine collaboration, and an increased emphasis on supply chain resilience. Key trends expected in the forecast period encompass the integration of robotics and automation, advancements in quality control and defect detection, the application of augmented reality in manufacturing, the promotion of data-driven decision-making, and the development of autonomous manufacturing processes.

The growth of AI in the manufacturing market is anticipated to be fueled by the increasing demand for automobiles. An automobile, commonly referred to as a car or motorcar, is a wheeled vehicle designed for transporting passengers or goods on roads. The incorporation of AI in the automobile industry spans various aspects of manufacturing, including autonomous vehicle development, predictive maintenance, data collection and analysis, and quality control and inspection. The application of AI in the automotive sector enables the design of both vehicles and the tools and robots used in their production. AI is currently employed in the manufacturing, supply chain, post-production, and design phases of automobile production. For example, in March 2022, Bankrate reported that 64,344 automobiles (21,177 vehicles and 43,167 light trucks) were sold in the United States, reflecting a 37.4% increase from 2021. Additionally, in April 2022, the European Automobile Manufacturers Association stated that 79.1 million automobiles were produced globally in 2021, marking a 1.3% rise from 2020. Thus, the growing demand for automobiles is a driving force behind the expansion of AI in the manufacturing market.

The growth of AI in the manufacturing market is also expected to be driven by the increasing adoption of industrial robots. Industrial robots are mechanical devices designed to autonomously perform production-related tasks in industrial settings. AI is transforming the manufacturing industry by integrating AI capabilities into robots, enabling manufacturers to achieve higher levels of efficiency, flexibility, and safety. For instance, in October 2021, the International Federation of Robotics reported a 10% increase in global robotic sales, with 3.5 million industrial robots installed and operational worldwide in 2021. The global installation of industrial robots is projected to reach 517,385 units in 2021. Consequently, the surge in the adoption of industrial robots is contributing to the growth of AI in the manufacturing market.

A prominent trend in the AI in manufacturing market is the increasing focus on technological advancements by companies to maintain their competitive positions. In March 2023, Leela AI, a US-based software development company, introduced the Leela Platform, its inaugural 'commonsense' visual AI platform designed to enhance manufacturing output. This platform allows manufacturers to uncover insights into production processes that may not be evident through Industrial Internet of Things (IIOT) sensor analytics. Users of the Leela Platform can compare productivity across shifts, workstations, and locations, identify bottlenecks, and recognize best practices. Industrial engineers, CI officers, and line supervisors can leverage the platform, which functions as an ongoing time-and-motion study by monitoring frontline activities involving equipment, machines, parts, and products.

Major players in the AI in manufacturing market are actively engaged in developing technological innovations, such as AI platforms, to gain a competitive advantage. An AI platform is a comprehensive solution for constructing, deploying, and managing machine learning (ML) models at scale, offering tools and services to facilitate the development and utilization of AI applications. For example, in October 2023, Fujitsu Limited, a Japan-based information and communications technology equipment company, launched the Kozuchi AI platform. This platform is designed to simplify access to AI and machine learning (ML) solutions globally, providing pre-built AI and ML solutions that eliminate the need to start from scratch. This novel approach is anticipated to significantly reduce the man-hours required to create an AI model, particularly in addressing production scheduling optimization challenges, by up to 95%.

In June 2023, Accenture plc., an Ireland-based professional services company, completed the acquisition of Flutura, an Indian-based provider of industrial artificial intelligence (AI). This strategic move is expected to enhance Accenture's industrial AI services, enabling clients to expedite the achievement of net-zero goals. The acquisition of Flutura positions Accenture as a key player in leveraging industrial AI for sustainable and efficient solutions in various industries.

Major companies operating in the ai in manufacturing market report are Nvidia Corporation, The International Business Machines Corporation, Siemens AG, General Electric Company, SAP SE, Amazon Inc., Mitsubishi Electric Corporation, Rockwell Automation Inc., Robert Bosch GmbH, Google LLC, Intel Corporation, Micron Technology Inc., Oracle Corporation, Cisco Systems Inc., Microsoft Corporation, Hilscher Gesellschaft fur Systemautomation GmbH, Beckhoff Automation GmbH, Phoenix Contact GmbH & Co. KG, Veo Robotics, Automation Anywhere, Machina Labs Inc., Advanced Micro Devices Inc., SoluLab, Keyence Corporation, LeewayHertz, Citadel Analytics, Omron Corporation, Yokogawa Electric Corporation, Cognex Corporation, Bosch Rexroth AG

Asia-Pacific was the largest region in the AI in manufacturing market in 2023. It is expected to be the fastest-growing region in the global AI in manufacturing market report during the forecast period. The regions covered in the ai in manufacturing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the ai in manufacturing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

AI in the manufacturing market consists of revenues earned by entities by providing services such as quality assurance, warehouse automation, and robotic process automation (RPA). The market value includes the value of related goods sold by the service provider or included within the service offering. AI in the manufacturing market also includes sales of graphical processing units, tensor processing units, and optimized chips. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.