Global AI in 3D Printing Market By Component (Hardware, Software, and Services), By Application (Efficiency enhancement, Defect Detection, Planning, and Execution, Predictive Maintenance, Real-Time Monitoring, and Others), By Technology (Context-Aware Computing, Computer Vision, Machine Learning, Natural Language Processing, and Others), By End-User (Automotive, Aerospace, Defence, Healthcare, Architecture and Construction, Consumer Products, Education and Others), Region and Companies – Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2024-2033

Report Overview

The Global AI in 3D printing Market size is expected to be worth around USD 34.8 Billion by 2033, from USD 1.6 Billion in 2023, growing at a CAGR of 36.5% during the forecast period from 2024 to 2033.

The global AI in the 3D printing market is transforming different aspects of businesses owing to factors such as advancement in artificial intelligence and machine learning, rising investments from tech giants, government aids, and others. Increasing the application of AI in 3D printing to enhance efficiency, detect defects, planning, and execution, real-time monitoring, predictive maintenance, and others is further boosting the market growth.

The growing use of advanced technologies such as context-aware computing, computer vision, machine learning, natural language processing, and others; the market is noticing huge growth across the globe. However, there are several factors such as the requirement of higher investment, lack of infrastructure, and less expertise, that are probable to hamper the market growth. According to the National Library of Medicine, one of the AI-integrated 3D modeling software, Mimics version 25.0 is capable of producing heart structure reconstruction with a 98.8% success rate.

The integration of Artificial Intelligence (AI) with 3D printing is poised to significantly transform various sectors. A survey by Deloitte reveals that 41% of executives expect a major disruption in their industries due to these advancements within the next five years. This sentiment is echoed in the manufacturing sector, where according to a Teradata survey, 80% of organizations recognize the revolutionary potential of AI and 3D printing technologies.

In terms of efficiency enhancements, AI has demonstrated its capacity to increase the speed of 3D printing processes by 20% and reduce design times by up to 25%. These improvements are particularly impactful in sectors such as healthcare, automotive, and aerospace, which are leading in AI and 3D printing investment, with allocations of 16%, 16%, and 11% respectively.

The financial implications of these technological advancements are substantial. The Artificial Intelligence market is anticipated to expand from USD 177 billion in 2023 to approximately USD 2,745 billion by 2032, growing at a compound annual growth rate (CAGR) of 36.8%. Concurrently, the 3D Printing market, valued at USD 19.8 billion in 2023, is projected to escalate to USD 135.4 billion by 2033, with a CAGR of 21.2%.

A notable example of these technologies in action is Siemens, which has utilized AI and 3D printing to slash the design time of components by 90%. This application has resulted in an 80% improvement in production efficiency for several companies, indicating a robust integration of these technologies.

Looking ahead, 80% of manufacturers anticipate that by 2025, AI and 3D printing will be broadly adopted and essential for their production processes. These technologies are not just enhancing current capabilities but are setting the stage for future innovations in manufacturing and beyond.

Key Takeaways

• The global AI in 3D printing market is estimated to reach at USD 34.8 billion in the year 2033 with a CAGR of 36.5% during the forecast period 2024 – 2033.
• By component, the market is segmented into hardware, software, and services, where the hardware segment had the largest share of around 45.2% in the year 2023.
• By Application, the efficiency enhancement segment has the largest share of 21.4% in the global AI in 3D printing market.
• Based on Technology, The machine learning technology segment has accounted for the highest market share of 25% in the year 2023.
• Based on end-use segmentation, the automotive segment has the largest market share of 19.7% globally.
• In the year 2023, the North America region held a majority of the market share of 34% in the global AI in 3D printing market.

Component Analysis

Based on the component, the global AI in the 3D printing market is segmented into three major parts; hardware, software, and services. The hardware segment has registered a market share of 45.2% in the year 2023. This is due to the increasing demand for hardware as different key players in the market are enhancing their products through the adoption of new technologies such as digital light processing, automated sheet lamination, and others to cater to the higher demand from different industrial verticals. This has also resulted in increased investment of companies in research and development activities.

Application Analysis

The global AI in the 3D printing market is divided into efficiency enhancement, defect detection, planning and execution, predictive maintenance, real-time monitoring, and other segments based on its applications. The efficiency enhancement segment had the largest share of 21.4% in the global AI in 3D printing market in the year 2023.

AI technology has minimized the likelihood of defects, thus resulting in optimal outputs. This has enhanced the quality of 3D printing by optimizing the designs, assessing printability, controlling the processes, and quality assurance. The integration of different AI capabilities such as machine learning algorithms, predictive modeling, and others has enabled the creation of different complex and accurate 3D-printed objects.

Technology Analysis

The segmentation of global AI in the 3D printing market based on the technology used is done into Context-Aware Computing, Computer Vision, Machine Learning, Natural Language Processing, and Others. The machine learning segment has registered the largest market share of around 25% in the year 2023 and is expected to experience a higher growth rate in the forecasted period.

This technology helps in enhancing the print quality and reduces the chance of failure effectively. It uses machine vision to identify the material used for printing and thus calibrate the setting of the system accordingly. In addition, it also utilizes design processing to optimize the design through small adjustments based on prior feedback.

End User Analysis

Based on the end use, the global AI in 3D market is segmented into different parts including Automotive, Aerospace, Defence, Healthcare, Architecture and Construction, Consumer Products, Education, and Others. Among these the automotive segment had the highest market share contributing to 19.7% of the total market.

AI in 3D printing market has helped different companies to design and modify various complex and organic structures such as additive manufacturing techniques for fabrication which is not possible through traditional manufacturing methods. In addition to this, businesses are also capable of producing customized designs according to the needs and demands of customers.

Key Market Segments

By Component Type

• Hardware
• Software
• Services

By Application Type

• Efficiency enhancement
• Defect Detection
• Planning and Execution
• Predictive Maintenance
• Real-Time Monitoring
• Other

By Technology type

• Context-Aware Computing
• Computer Vision
• Machine Learning
• Natural Language Processing
• Others

By End Use type

• Automotive
• Aerospace
• Defence
• Healthcare
• Architecture and Construction
• Consumer Products
• Education
• Others

Drivers

Increased efficiency and reduced production cost

One of the key drivers propelling global AI in 3D printing market is its capability to increase efficiency and reduce production costs. Integration of AI in 3D printing market has crucially minimized the error and enabled precise production. It has automated different tasks such as product iterations, post-processing, material handling, and increased operational efficiency. It has also resulted in reduced labor cost, optimized use of resources, and timely production of products.

Increased demand for more customized products

Another vital driver of the market is the growing demand for more customized products across different industries. Traditional manufacturing processes lack the efficiency to produce more complex and intricate designs that meet the personalized demands of the customer. AI in 3D printing has emerged as a solution to this issue as it excels in generating more complex structures that are tailored according to the needs of customers. Different industries including aerospace and healthcare are particularly driven by the versatility of this technology.

Restraints

Higher initial investment is expected to hamper the market growth

One of the notable restraining factors that could impact the market growth of AI in 3D printing market is the higher initial or setup cost. The cost associated with the acquisition of AI technology and advanced software and hardware is considerably higher for small enterprises.

In addition to this, the need for specialized training from experts would add to the cost of adopting this technology. While the long-term efficiency and lower product cost propel the market, the higher initial cost of adopting the technology can be a barrier to the widespread adoption of it.

Opportunities

Various advancements such as automated processing of different activities, data-based precise manufacturing, and others in the field of AI and 3D printing are expected to generate different growth opportunities for the market during the forecast period. These advancements can enhance the design capabilities and enable the creation of various complex structures.

It improves the performance of 3D printers and reduces the possibility of errors by utilizing different machine-learning algorithms to analyze the data. As a result, high-quality prints and automation of different post-printing tasks can be enabled in reduced time and effort as well as an increase in overall efficiency can be achieved.

Challenges

While the present developments and integrations are more exciting, the utilization of AI in 3D printing poses several challenges and limitations that are required to be addressed by businesses operating in the market. The data in 3D printing involves proprietary information which would make it difficult to train AI systems and limit its accuracy, as machine learning algorithms rely on larger data sets.

In addition to this, incorporating different variables such as temperature, pressure and speed in machine learning models can be challenging as it needs a significant amount of computational power and data. Thus, it has become crucial for businesses to overcome these challenges through effective research and development.

Latest Trends

One of the notable trends in the market is the inclusion of robotics in the systems. This approach has eliminated the requirement of manual interventions in the tasks such as material loading, part handling as well as post-processing. Various industrial robots are being employed for precise material handling and printer operation thus ensuring the quality and speed of production. This has attracted the attention of different businesses across various industries, thus allowing them to research and develop new trends in the market.

Regional Analysis

North America is leading the Global AI in 3D printing Market

In the year 2023, the North America region held a majority of the market share of 34% in the global AI in 3D printing market. This is due to adequate infrastructure, ongoing innovations, technological developments, government support, and other factors. This region has been the earlier adopter of 3D printing technology for different applications.

The demand for AI in 3D printing in North America was valued at USD 0.52 billion in 2023 and is anticipated to grow significantly in the forecast period. Companies in these regions frequently engage in various strategic collaborations and partnerships thus resulting in the development of various advanced solutions. In addition to this, businesses in North America region highly invest in advanced manufacturing technologies including countries such as US and Canada.

The Asia Pacific region is expected to experience the highest CAGR during the forecast period

Asia Pacific region including countries such as China, Japan, and South Korea is expected to register for the highest CAGR during the forecast period as this region is witnessing ongoing technological developments and economic growth. The growth is further fuelled by the increasing investments in advanced manufacturing technologies by various businesses across the region. In several countries of Asia Pacific regions, governments have implemented different supportive policies such as Asia Pacific Development Information Programme that trigger the market expansion.

Key Regions and Countries

• North America
  • US
  • Canada
• Europe
  • Germany
  • France
  • The UK
  • Spain
  • Italy
  • Russia
  • Netherland
  • Rest of Europe
• APAC
  • China
  • Japan
  • South Korea
  • India
  • Australia
  • Singapore
  • Thailand
  • Vietnam
  • Rest of APAC
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Rest of MEA

Key Players Analysis

AI in 3D Printing Market Key Players Analysis refers to the assessment and evaluation of the major companies operating in the market where artificial intelligence (AI) is integrated into the 3D printing industry. This analysis involves studying the strategies, market presence, product offerings, technological advancements, and competitive landscape of these key players.

The key players in the AI in 3D printing market are the companies that are at the forefront of developing AI-based solutions and technologies to enhance and optimize the 3D printing process. These players are instrumental in driving innovation, advancing the capabilities of 3D printing, and shaping the future of additive manufacturing.

Top Key Players in Market

• 3D Systems Inc.
• Autodesk Inc.
• ENVISIONTEC US LLC
• ExOne
• General Electric
• The Hewlett-Packard Company
• Materialise
• Redwire Corporation
• Stratasys
• Voxeljet AG
• NKBIT Corporation
• PrintSyst.ai
• Artificial Intelligence Global Company (AIGCom)
• Hyperganic
• AI Build
• Other key players

Recent Developments

• In April 2024, OsseoLabs, a well-known medical device start-up advanced its surgical solutions through AI in 3D printing technology and announced its product launch in the US market.
• In April 2023, Nexa3D, one of the major key players in the market, acquired AddiFab, a well-known supplier of printing equipment. This was done to enhance its printing technology by using the Freeform Injection Molding Technology from AddiFab to support Nexa3D’s NXE SLA 3D printers.

Report Scope