In recent years, the intersection of artificial intelligence and 3D printing has revolutionized the manufacturing industry, bringing about unprecedented advancements in efficiency, precision, and customization. As we delve into the statistics surrounding AI in the 3D printing industry, we uncover the transformative impact of this cutting-edge technology on production processes, product development, and overall business performance. Let’s explore the remarkable statistics that underscore the growing influence of AI in the 3D printing landscape.
The Latest Ai In The 3D Printing Industry Statistics Explained
By 2027, the 3D printing market is projected to exceed $34 billion driven by advantages like cost benefits, customization, increased speed, and diversified product design, where AI has a significant role,
The statistic indicates that the 3D printing market is expected to surpass $34 billion by the year 2027, with its growth being fueled by various advantages such as cost savings, personalized customization, faster production speeds, and a wider range of product designs. It highlights the significant role that artificial intelligence (AI) plays in driving this growth, likely through enhanced automation, optimization of printing processes, and the development of innovative applications. This projection underscores the increasing adoption and integration of advanced technologies like AI within the 3D printing industry as key drivers for its expansion and potential market dominance in the coming years.
60% of Europeans believe AI and 3D printing will revolutionize their workplace.
The statistic that 60% of Europeans believe AI (artificial intelligence) and 3D printing will revolutionize their workplace indicates a strong level of optimism and anticipation regarding the impact of these advanced technologies on the future of work in Europe. This statistic suggests that a majority of Europeans see AI and 3D printing as transformative forces that have the potential to significantly change the way work is done in various industries. The belief in the revolutionary potential of AI and 3D printing may also reflect a recognition of the increasing integration of technology into the workplace and a willingness to adapt to and embrace these changes in order to stay competitive and innovative in a rapidly evolving global economy.
AI is expected to generate over $300 Billion by 2026 in manufacturing and supply chain industry, which includes the 3D printing sector.
This statistic indicates the significant impact that artificial intelligence (AI) is projected to have on the manufacturing and supply chain industry, encompassing the rapidly growing 3D printing sector. The forecasted revenue of over $300 billion by 2026 highlights the potential for AI technologies to revolutionize operations in these sectors, driving efficiency, productivity, and innovation. AI applications in manufacturing and supply chain management, including predictive maintenance, autonomous operations, and optimization of logistics, are expected to bring about substantial cost savings and performance improvements. The integration of AI with 3D printing technology further signifies the disruptive potential of these advanced technologies in reshaping traditional production processes and ushering in a new era of manufacturing capabilities.
General Electric has used AI and 3D printing to make jet engine components 35% more efficient.
The statistic indicates that General Electric utilized artificial intelligence (AI) and 3D printing technology to improve the efficiency of jet engine components by 35%. This suggests that through the integration of AI algorithms and advanced manufacturing techniques like 3D printing, General Electric was able to significantly optimize the design and production process of these components, resulting in a substantial increase in efficiency. This innovation could lead to benefits such as reduced fuel consumption, enhanced performance, and potentially cost savings for the company and its customers. Overall, this statistic highlights the successful application of cutting-edge technologies in the aerospace industry to drive improvements in efficiency and performance.
The global AI in 3D printing market will reach $312.42 million by 2027, exhibiting a CAGR of 26.8% from 2020 to 2027.
This statistic suggests that the global market for artificial intelligence (AI) in 3D printing is expected to grow significantly, reaching a value of $312.42 million by the year 2027. The Compound Annual Growth Rate (CAGR) of 26.8% from 2020 to 2027 indicates a rapid expansion of the market over the forecast period. This growth rate suggests a strong demand for AI technologies in the 3D printing industry, likely driven by advancements in AI capabilities and an increasing adoption of 3D printing across various sectors. The projected market value and growth rate signal promising opportunities for businesses and stakeholders operating within the AI and 3D printing industries.
The adoption of 3D printing technology may lead to a 5% reduction in global total emissions by 2025, with AI playing a key role.
The statistic suggests that the widespread implementation of 3D printing technology, coupled with the use of artificial intelligence (AI), could potentially contribute to a 5% decrease in global total emissions by the year 2025. This reduction is likely achievable due to the more efficient utilization of resources and materials offered by 3D printing technology, which can lead to decreased waste and energy consumption in manufacturing processes. Additionally, AI’s role in optimizing production processes and supply chains can further enhance the environmental impact of 3D printing technology by increasing efficiency and reducing emissions. Therefore, the synergy between 3D printing and AI has the potential to significantly contribute to environmental sustainability efforts and combat climate change by lowering global emissions.
Industries such as healthcare (16%), automotive (16%), and aerospace (11%) have invested most heavily in AI and 3D printing technologies.
The statistic indicates that industries like healthcare, automotive, and aerospace have made significant investments in artificial intelligence (AI) and 3D printing technologies. The percentages specified for each industry highlight the level of investment relative to their overall technology expenditures. Healthcare and automotive, each with a share of 16%, are closely tied in terms of the resources allocated to AI and 3D printing, showcasing the importance placed on technological advancements within these sectors. Aerospace, on the other hand, follows closely behind with an investment level of 11%, indicating a slightly lower but still substantial commitment to these cutting-edge technologies. Overall, these industries are at the forefront of adopting AI and 3D printing to enhance efficiency, improve processes, and drive innovation within their respective fields.
According to a Teradata survey, 80% of organizations believe that AI technology and 3D printing will revolutionize the manufacturing sector.
The statistic, derived from a Teradata survey, indicates that a significant majority, 80% of organizations, hold the belief that artificial intelligence (AI) technology and three-dimensional (3D) printing are poised to bring about a revolutionary transformation within the manufacturing sector. This suggests that a majority of industry players perceive both AI and 3D printing as disruptive technologies that have the potential to reshape traditional manufacturing processes, increase efficiency, and drive innovation within the sector. The high percentage of organizations expressing confidence in the transformative power of AI and 3D printing underscores the widespread anticipation among industry insiders for the integration of these technologies into the manufacturing landscape in the near future.
About 75% of IoT providers have adopted AI to enhance 3D printing technology.
The statistic “About 75% of IoT providers have adopted AI to enhance 3D printing technology” indicates that a significant majority of companies offering Internet of Things (IoT) solutions have integrated artificial intelligence (AI) technology into their 3D printing processes. This suggests a growing trend towards leveraging AI capabilities to optimize and improve the efficiency, accuracy, and quality of 3D printing within the IoT industry. By combining AI and 3D printing technologies, these providers are able to enhance design capabilities, streamline manufacturing processes, and achieve innovative solutions that can potentially revolutionize various sectors such as healthcare, manufacturing, and consumer goods.
Siemens has used AI and 3D printing to decrease the design time of components by 90%.
The statistic ‘Siemens has used AI and 3D printing to decrease the design time of components by 90%’ suggests that Siemens, a technology company, has implemented artificial intelligence (AI) and 3D printing technology to significantly reduce the amount of time it takes to design components. The use of AI likely involves advanced algorithms and machine learning techniques to automate and streamline the design process, while 3D printing enables rapid prototyping and production of components. By combining these technologies, Siemens has achieved a substantial 90% reduction in design time, indicating a major leap in efficiency and innovation within their product development process.
By 2019, 60% of the manufacturing companies had begun using AI-based systems for 3D printing of components.
The statistic “By 2019, 60% of manufacturing companies had begun using AI-based systems for 3D printing of components” indicates that a majority of manufacturing companies had adopted artificial intelligence technology for the purpose of 3D printing components by the end of 2019. This suggests a significant trend towards integrating AI into manufacturing processes, particularly in the realm of additive manufacturing. The use of AI-based systems in 3D printing can offer benefits such as improved efficiency, precision, and customization opportunities. The statistic highlights the increasing importance of AI in the manufacturing industry and signals a shift towards more advanced and automated production processes among manufacturing companies.
A Deloitte survey found that 41% of executives anticipate a “major disruption” of 3D printing in their sector within a period of five years, largely due to AI advancements.
The statistic from the Deloitte survey indicates that 41% of executives believe that there will be a significant upheaval within their industry within the next five years as a result of advancements in 3D printing technology, primarily driven by advancements in artificial intelligence (AI). This finding suggests that a considerable portion of industry leaders are anticipating a transformative impact of 3D printing technology due to its integration with AI, which is expected to revolutionize the sector in various ways. The survey results highlight the growing recognition among executives of the potential disruptive power of these emerging technologies and the need for organizations to adapt and innovate in response to ensure competitiveness and future success.
Data from MarketsandMarkets shows that AI in aerospace & defense, which includes 3D printing applications, is projected to grow from $737 million in 2018 to $5.8 billion by 2025.
The statistic provided highlights the significant growth projection for artificial intelligence (AI) in the aerospace and defense industry, specifically in the realm of 3D printing applications. According to data from MarketsandMarkets, the market size for AI in aerospace & defense is expected to increase from $737 million in 2018 to $5.8 billion by the year 2025. This rapid growth indicates a substantial investment and adoption of AI technologies within the sector, particularly leveraging 3D printing applications to enhance efficiency, performance, and innovation in aerospace and defense operations. The projected increase reflects a growing recognition of the potential benefits and capabilities that AI can offer in transforming processes and solutions within the industry.
50% of consumer goods manufacturers are reported to have used 3D printing with AI, according to Jabil’s 2019 survey.
The statistic that 50% of consumer goods manufacturers have used 3D printing with AI, as reported in Jabil’s 2019 survey, indicates a significant adoption and integration of advanced technologies in the manufacturing industry. This high percentage suggests that a large proportion of companies in this sector are leveraging the combination of 3D printing and artificial intelligence to enhance their production processes and develop innovative products. The use of these technologies can lead to improved efficiency, customization capabilities, and overall competitiveness for consumer goods manufacturers who embrace them. This statistic highlights the growing trend towards digital transformation and the adoption of cutting-edge solutions within the industry.
35% of engineering jobs now require 3D printing and AI skills.
The statistic ‘35% of engineering jobs now require 3D printing and AI skills’ indicates the increasing importance of technological proficiency in the field of engineering. Employers are seeking candidates who possess expertise in 3D printing and artificial intelligence (AI) as these skills are becoming essential in modern engineering practices. This statistic highlights the evolving nature of the engineering industry, where proficiency in emerging technologies such as 3D printing and AI is no longer just a competitive advantage but a necessary requirement for a substantial portion of engineering roles. Professionals looking to excel in the engineering field should consider upskilling in these areas to stay relevant and competitive in the job market.
3D printing with AI is enabling 80% improvement in production efficiency in several companies.
The statistic indicates that companies leveraging 3D printing technology enhanced by artificial intelligence (AI) are experiencing an impressive 80% increase in production efficiency. This suggests that incorporating AI into 3D printing processes is yielding significant benefits, such as reducing production time, improving quality control, and optimizing resource allocation. The integration of AI likely allows for real-time monitoring and adjustment of the printing process based on data analysis, leading to faster and more precise manufacturing outcomes. Overall, this statistic highlights the transformative impact that advanced technologies like 3D printing and AI can have on operational efficiency and competitiveness within various industries.
65% of manufacturing execs cited 3D printing as important or very important to their operating strategies (many adopting AI).
The statistic suggests that a significant portion (65%) of manufacturing executives consider 3D printing to be crucial or highly valuable in their operational strategies. This indicates a widespread recognition among industry leaders of the importance of integrating 3D printing technology into their manufacturing processes. Furthermore, the mention of many executives also adopting artificial intelligence (AI) suggests a trend towards embracing advanced technologies to enhance efficiency and innovation within the manufacturing sector. Overall, the statistic highlights a growing emphasis on leveraging cutting-edge technologies like 3D printing and AI to drive competitiveness and transformation in the manufacturing industry.
According to Stratasys survey, 8 in 10 respondents report that they will use 3D printing to help realize the benefits of AI.
The statistic from the Stratasys survey indicates that the vast majority of respondents, specifically 8 out of 10 individuals, plan to leverage 3D printing technology in order to achieve the advantages associated with artificial intelligence (AI). This suggests a strong interest and intention among the surveyed population to incorporate 3D printing in their AI strategies or applications. The statistic implies that there is a perceived synergy between these two cutting-edge technologies, with respondents acknowledging the potential of 3D printing to contribute to the realization of AI benefits, such as increased efficiency, cost savings, and innovation. This finding underscores the growing trend of integrating different advanced technologies to enhance overall capabilities and outcomes in various industries.
References
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