The report titled ‘Global 3D Printing Market - Growth, Share, Opportunities, and Competitive Analysis, 2022 - 2032’ offers strategic visions into the global 3D printing market along with the market size (Volume - Million Units and Revenue - US$ Billion) and estimates for the duration 2022 to 2032. The said research study covers in-depth analysis of multiple market segments based on technology, application, end user, and study across different topographies. The report is also inclusive of competitive profiling of the leading 3D printing vendors, and latest developments. 3D printing also referred as additive manufacturing is used to create three-dimensional object by laying down many thin layers of a material in succession.
3D printing is a process that deposits a binder material onto a powder bed along with inkjet printers headed layer by layer. Dissimilar to traditional manufacturing or printing processes, there is no drilling, cutting, welding involved in the process making it clean, fast, and efficient manufacturing process with minimal wastage of raw materials. 3D printing technology is found to have various application across several sectors such as automotive, healthcare, construction, jewelry and others. Some of the most popular technologies used in 3D printing include PolyJet, Fused Deposition Modeling (FDM), Selective Laser Sintering (SLS), and Stereolithography (SLA) among others. The global 3D printing market is expected to be worth USD 34 Billion by 2024, at a CAGR of 26.2% between 2018 and 2024.
Technological advancements, leading to their growing deployment across the education, consumer products, food, and culinary, and printed electronics verticals are projected to be the primary factors leading to the growth of this market in the long term. However, the 3D printing market faces some challenges related with maintaining mandatory product quality and availability of design tools. Restraints that curb the market are the high cost of materials, limitation of size, and lack of standard process control. The global 3D printing market has been segmented on the basis of technology, application, end user, and region. On the basis of technology, the market is segmented into PolyJet, Stereolithography, Fused Deposition Modelling (FDM), Electron Beam Melting (EBM), Selective Laser Sintering (SLS), and Other. Segmentation on the basis of application includes prototyping, tooling, and functional part manufacturing. The end user industries considered for segmentation of the market include aerospace and defense, engineering, healthcare, consumer products, automotive, jewelry, education, energy, architecture and construction, printed electronics, food and culinary, and others. The markets for the emerging industries such as food and culinary, printed electronics, and education are expected to grow at the significant CAGR during the near future. The education industry is a highly attractive area for the 3D printing markets in North America and Europe growing at a CAGR of 26.7% from 2018 to 2024.
The industry is adopting 3D printing technologies to bring about awareness about this technology among students globally. Based on geography, the global 3D printing market has been segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. North America comprises U.S., Canada, and Mexico whereas Europe would primarily cover Germany, France, UK, Italy, and Rest of Europe. The key countries included under Asia Pacific are China, Japan, India, Australia, and Rest of Asia Pacific. In Latin America, Brazil, Argentina, and Rest of Latin America are the key segments whereas in Middle East & Africa, South Africa and Rest of MEA are the key segments covered in the report. In 2017, North America dominated the 3D printing market in terms of market share, followed by Europe and Asia Pacific. The U.S. held the largest share of the North American 3D printing market, followed by Canada and Mexico. The 3D printing ecosystem includes raw material suppliers, component suppliers, 3D printing machine manufacturers and assemblers, technology providers, service providers, distributors and resellers, and end users.
The 3D printing marketspace comprises major players such as Stratasys Ltd. (US), 3D Systems Corporation (US), EOS GmbH (Germany), Materialise NV (Belgium), SLM Solutions Group AG (Germany), Arcam AB (Sweden), Concept Laser GmbH (Germany), The ExOne Company (US), Voxeljet AG (Germany), Proto Labs, Inc. (US), Optomec Inc. (US), ARC Group Worldwide, Inc. (US), GROUPE GORGÉ (France), EnvisionTEC GmbH (Germany), Mcor Technologies Ltd. (Ireland), Beijing Tiertime Technology Co. Ltd. (China), Renishaw plc (UK), XYZprinting (Taiwan), Ultimaker BV (Netherlands), Koninklijke DSM N.V. (Netherlands), Höganäs AB (Sweden), taulman3D, LLC (US), Nano Dimension (Israel), Carbon Inc. (US), Markforged, Inc. (US), and Cookson Precious Metals Ltd. (UK).
Based On Technology
Fused Deposition Modeling (Fdm)
Selective Laser Sintering (Sls)
Based On Application
Functional Part Manufacturing
Based On End User
Aerospace And Defense
Architecture And Construction
Food And Culinary
InsightSLICE adopts a research methodology which is highly meticulous and comprehensive, yielding accurate research results. Our research methodology utilizes data triangulation model which helps in the precise collection and validation of information. Our set processes for problem solving and paid primary tools guarantee that any client requirement is met with utmost diligence and accuracy. Some of the primary components that are consequential to our research approach are:
Secondary Research or Desk Research
Distinctive Data Model
Secondary Sources include but are not limited to:
Past Published Research
Historical Data and Information
Primary Sources include but are not limited to:
InsightSLICE also leverages three types of data triangulation approaches as follows:
Data Source Triangulation
Extracting data and validation from multiple type of secondary and primary sources
Combining various methodologies to validate data inputs
Applying different theories to check credibility of data sets