The Latest Ai In The Industrial Automation Industry Statistics Explained
By 2022, operational efficiencies from AI in manufacturing could increase up to 20%
The statistic suggests that by the year 2022, the implementation of Artificial Intelligence (AI) technologies within the manufacturing industry has the potential to lead to significant improvements in operational efficiency. Specifically, it is projected that AI could drive efficiency gains of up to 20% in manufacturing processes. This could mean streamlining production workflows, optimizing resource utilization, reducing downtime, improving quality control, and overall enhancing the productivity and performance of manufacturing operations. Such advancements are expected to bring about cost savings, enhance competitiveness, and drive innovation within the manufacturing sector, ultimately benefiting both businesses and consumers.
60% of manufacturers will use AI-driven automation for more than half of their operations by 2021.
The statistic states that by the year 2021, it is projected that 60% of manufacturers will adopt AI-driven automation in more than half of their operational processes. This indicates a significant shift towards the integration of artificial intelligence technologies within the manufacturing industry, likely driven by the potential benefits such as increased efficiency, cost savings, and improved productivity. The widespread adoption of AI-driven automation reflects a growing trend towards leveraging advanced technologies to enhance manufacturing capabilities and competitiveness in the market. This statistic highlights the increasing importance of AI in revolutionizing traditional manufacturing processes towards a more automated and data-driven future.
There will be a 44% annual growth in the deployment of AI in industrial automation between 2020 and 2027.
The statistic suggests that the deployment of artificial intelligence (AI) in industrial automation is projected to experience a significant growth rate of 44% per year from 2020 to 2027. This indicates a substantial increase in the adoption of AI technologies within the industrial sector, which are expected to drive innovation, productivity, and efficiency in manufacturing processes. Businesses are likely to leverage AI algorithms, machine learning models, and automation technologies to streamline operations, enhance decision-making processes, and improve overall performance. The forecasted growth rate implies a rapid evolution towards more advanced and intelligent industrial systems over the specified time period, highlighting the increasing importance and impact of AI in reshaping automation in industries.
AI in manufacturing market size will reach USD 16 billion by 2025.
The statistic “AI in manufacturing market size will reach USD 16 billion by 2025” indicates the projected growth and financial value of the artificial intelligence (AI) sector within the manufacturing industry. This figure represents the estimated total revenue that will be generated by AI technologies, applications, and services specifically tailored for the manufacturing sector by the year 2025. The rapid adoption of AI in manufacturing is driven by its potential to enhance operational efficiency, increase productivity, improve product quality, and enable predictive maintenance. The growth to a USD 16 billion market size reflects the increasing recognition and investments in AI-powered solutions to revolutionize and streamline manufacturing processes for greater competitiveness and innovation.
In 2018, the AI market within industrial automation was valued at USD 650 million.
The statistic that in 2018, the AI market within industrial automation was valued at USD 650 million indicates the financial worth of artificial intelligence technology specifically within the industrial automation sector during that year. This value represents the total amount of money spent on AI-related products, services, and technologies within industries that have automated their processes. The market valuation suggests a significant investment and interest in integrating AI technologies into industrial automation systems, reflecting a growing trend of utilizing advanced technologies to improve efficiency, productivity, and decision-making processes within the industrial sector.
North America holds a 32% share in the global AI market within industrial automation in 2018.
The statistic stating that North America holds a 32% share in the global AI market within industrial automation in 2018 indicates the significant presence and influence of the region in the adoption and implementation of artificial intelligence technologies within industrial settings. This high market share suggests that North American industries have been actively investing in AI applications to enhance their operational efficiency, productivity, and competitiveness. The statistic reflects the region’s technological advancement, innovation, and commitment to integrating AI solutions into industrial automation processes, positioning North America as a key player in driving the growth and development of AI in the industrial sector on a global scale.
The automotive segment led the AI in manufacturing market with a 29.5% share in 2020.
This statistic indicates that within the artificial intelligence (AI) in manufacturing market in 2020, the automotive industry held the largest market share at 29.5%. This suggests that the use of AI technologies and applications in manufacturing processes was particularly prevalent in the automotive sector compared to other industries. The dominance of the automotive segment could be attributed to factors such as the increasing integration of AI-driven technologies like robotics, predictive maintenance, and process automation to improve operational efficiency, product quality, and innovation within automotive manufacturing. This statistic highlights the significant role of AI in driving advancements and transformations within the automotive manufacturing industry.
By 2030, AI in Industrial Automation is expected to replace 37% of all industrial work in Japan.
The statistic stating that AI in industrial automation is projected to replace 37% of all industrial work in Japan by 2030 highlights the anticipated significant impact of artificial intelligence on the workforce in the industrial sector. This suggests that a substantial portion of tasks currently carried out by human workers in Japan’s industrial settings will be taken over by AI technologies within the next decade. As automation technologies continue to advance and become more sophisticated, industries in Japan are expected to increasingly rely on AI systems for efficiency, precision, and cost-effectiveness, potentially leading to significant changes in the labor market and the need for reskilling and upskilling of workers to adapt to the evolving technological landscape.
The global market for AI in Industrial IoT is expected to grow from $1 billion in 2018 to $5.5 billion by 2024.
The statistic indicates that the global market for Artificial Intelligence (AI) in Industrial Internet of Things (IoT) is projected to experience significant growth over a six-year period, increasing from $1 billion in 2018 to $5.5 billion by the end of 2024. This sharp rise in market size reflects the increasing adoption and integration of AI technologies within industrial IoT applications, as organizations seek to leverage machine learning, predictive analytics, and automation to enhance operational efficiencies, optimize production processes, and drive innovation in their industries. The forecasted growth highlights the rising importance and potential impact of AI in transforming the industrial sector, paving the way for advanced data-driven decision-making and enhanced productivity in the coming years.
IT operations stand at the top of the list, with AI adoption rate of 86% among manufacturers.
The statistic indicates that among manufacturers, information technology (IT) operations have the highest adoption rate of artificial intelligence (AI) technologies, standing at 86%. This suggests that a large majority of manufacturers are actively integrating AI into their IT processes and operations. This high adoption rate signifies a growing trend within the manufacturing industry to leverage AI technology to optimize efficiency, improve decision-making, and enhance overall productivity. The prioritization of AI adoption in IT operations highlights the strategic importance of technology-driven solutions in driving innovation and competitiveness within the manufacturing sector.
Nearly two-thirds of industrial firms are using AI for quality control and detect defects.
The statistic suggesting that nearly two-thirds of industrial firms are utilizing artificial intelligence (AI) for quality control and defect detection highlights a significant trend in the industry towards adopting advanced technologies to improve production processes. This adoption of AI signifies a shift towards more automated, data-driven approaches for ensuring product quality and efficiency. By leveraging AI for quality control purposes, industrial firms can benefit from more accurate and real-time defect detection, leading to reduced product defects, improved overall quality, and increased operational efficiency. This statistic points towards a growing recognition among industrial firms of the potential benefits that AI technology can offer in optimizing their manufacturing processes and enhancing product quality.
82% of industrial firms in Europe believe that AI will change their business models.
The statistic ‘82% of industrial firms in Europe believe that AI will change their business models’ indicates a high level of awareness and anticipation within the industrial sector regarding the transformative potential of artificial intelligence (AI). This statistic suggests that the majority of industrial firms in Europe recognize the significant impact AI technologies can have on their operations and are preparing for potential disruptions to their traditional business models. The widespread belief in the potential of AI to drive change highlights the increasing importance of technological innovation and adaptation in the industrial sector, as companies seek to leverage AI capabilities to enhance productivity, efficiency, and competitiveness in the evolving global market landscape.
The market size of AI in the Indian industrial automation sector will grow at a CAGR of 29.18% during 2021-2026.
The statistic indicates that the market size of artificial intelligence (AI) within the Indian industrial automation sector is projected to experience a Compound Annual Growth Rate (CAGR) of 29.18% over the period spanning from 2021 to 2026. This suggests a rapid and substantial rate of expansion in the adoption and implementation of AI technologies within the industrial automation landscape in India. Such growth reflects the increasing recognition of the benefits and efficiencies that AI can bring to this sector, driving investment and innovation to capitalize on its capabilities for improving processes, productivity, and competitiveness.
China is projected to be the fastest-growing country in AI in the manufacturing market in Asia Pacific between 2021 and 2027.
This statistic indicates that China is expected to experience the fastest growth rate among all countries in the Asia Pacific region in the field of artificial intelligence (AI) within the manufacturing sector from 2021 to 2027. The projected growth highlights China’s increasing focus and investment in AI technology to enhance and optimize manufacturing processes. This trend suggests that China could potentially become a dominant player in the AI manufacturing market in the region, showcasing its commitment to leveraging advanced technologies to drive innovation and productivity in the manufacturing industry.
It is estimated that AI in industrial automation can lead to cost savings of around 20-25%.
The statistic that AI in industrial automation can lead to cost savings of around 20-25% suggests that implementing artificial intelligence technology in industrial processes can significantly reduce operational expenses. This estimate indicates that AI systems can streamline and optimize various tasks within industrial automation, leading to increased efficiency and productivity. By leveraging AI algorithms to automate processes such as predictive maintenance, production scheduling, and quality control, companies can achieve substantial cost savings due to lower maintenance costs, reduced downtime, and improved resource allocation. Overall, integrating AI into industrial automation has the potential to drive significant financial benefits by enhancing operational performance and minimizing inefficiencies.
The integration of AI in industrial automation is expected to result in a 15-25% increase in production.
The statistic indicates that the integration of artificial intelligence (AI) into industrial automation processes is projected to lead to a significant improvement in production efficiency, with an expected increase between 15% and 25%. AI technology can enhance automation systems by enabling predictive maintenance, optimizing production schedules, improving product quality through real-time monitoring and adjustments, and increasing overall operational efficiency. By utilizing AI algorithms and machine learning techniques, industrial processes can be optimized and streamlined to operate more effectively, leading to higher productivity levels within manufacturing environments. This statistic highlights the potential benefits that AI can offer in transforming traditional industrial automation systems towards more intelligent and efficient operations.
40% of SMEs are actively considering leveraging AI to manage their business operations.
This statistic indicates that 40% of small and medium-sized enterprises (SMEs) are currently contemplating the adoption of artificial intelligence (AI) technologies as a means to enhance and streamline their business operations. This suggests a growing recognition among SMEs of the potential benefits that AI can offer in terms of operational efficiency, cost savings, decision-making support, and overall competitive advantage. By actively considering leveraging AI technologies, these SMEs are signaling their openness to embracing advanced digital tools to improve their business processes and drive innovation.
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