Data collection

Our reports are built upon first-hand data directly from our industry partners as well as public information collected by the VoxelMatters team. Through VoxelMatters’ directory, the largest AM directory in the world with over 6,000 AM-related companies, we identified 1,364 companies as key stakeholders within the scope of our reports: 351 are hardware manufacturers, 303 are material suppliers, and 710 are service providers.

Through an extensive 200-question survey, data and insights were collected directly from key stakeholders. This first-hand data was compared and combined with supplementary data collected by our team from all publicly available information on revenue and production capabilities for each company included in our reports. In addition to the regular interviews with key AM market stakeholders we do as part of our daily coverage of AM industry news, the team also conducted extensive research interviews with industry operators—as well as independent consultants—to further verify and refine the collected data, estimates and analyses.

In total, the raw data collected for 2022 comprises of over 53,000 data points, drawing an accurate and detailed picture of the current global AM market.


We value our partners’ trust, which is why we take the confidentiality of the information they share with us very seriously. The raw data collected through surveys is only ever seen by the VoxelMatters research team.

The data collected is combined with additional public data and analyzed in aggregate to form the basis of our overall market estimates and forecasts. In published market reports, we only show segment trends (e.g. the number of parts by technology, volumes sold by material etc) and overall market shares—we do not specify company sales data (e.g. hardware units sold, revenues etc) unless we’re certain that it’s already publicly available information (e.g. from press releases, annual reports etc).

Data segmentation

Carefully segmenting our data is an important part of the work we do. This is what allows us to uncover patterns that may not be immediately apparent in the larger dataset. This leads to a more nuanced and informed analysis of the underlying data, which can ultimately drive better decision-making for our clients.

Below are the major segmentations in our database.

Polymer AM

Material Extrusion – MEX

  • MEX – Filament
  • MEX – LFAM
  • MEX – Pneumatic (Thermoset)

Material Jetting – MJ

Powder Bed Fusion – PBF

  • PBF – Laser
  • PBF – Thermal

Vat Photopolymerization – VPP

  • VPP – Continuous (DLS etc)
  • VPP – DLP
  • VPP – LCD
  • VPP – SLA

Our database for polymer materials is divided into Thermoplastics, Photopolymers and Thermosets and is further segmented into the following material forms: Filament, Powder, Resin, Pellet and Paste.


  • ABS including ABS composites (CF/GF
  • PA (PA6, PA11, PA12) including PA composites (CF/GF)
  • PAEK (PEEK, PEK, PEKK) including PAEK composites (CF/GF)
  • PC including PC-ABS
  • PE/PET/PETG including PE composites (CF/GF)
  • PEI (ULTEM) including PEI composites
  • PLA
  • PP including PP composites (GF)
  • Other


  • Biocompatible
  • Castable
  • Clear
  • Dental
  • Durable
  • Flame Retardant
  • Flexible
  • High Temperature
  • Modelling (High Definition)
  • Tough (High Impact)


  • Epoxy
  • Polyurethane
  • Silicone

Metal AM

Binder Jetting – BJP


Directed Energy Deposition – DED

  • DED – EBAM
  • DED – Laser
  • DED – WAAM

Material Extrusion – MEX

  • Material Extrusion – Bound

Material Jetting – MJ

Powder Bed Fusion – PBF

  • PBF – Electron Beam
  • PBF – Laser

Our database for metal materials is further segmented into the following material forms: Powder and Wire.

  • Aluminum Alloys
  • Amorphous Metals
  • Cobalt Alloys
  • Copper Alloys
  • Nickel Alloys
  • Precious Metals
  • Refractory Metals
  • Steel Alloys
  • Titanium Alloys

Ceramic AM

Binder Jetting – BJP

Material Extrusion – MEX

  • MEX – Bound
  • MEX – Paste

Material Jetting – MJ

Vat Photopolymerization – VPP

  • VPP – DLP
  • VPP – SLA

Our database for ceramic materials is divided into Technical and Traditional ceramics, and then is segmented into the following material forms: Filament, Powder, Resin, Pellet and Paste. Technical ceramics are additionally segmented into Oxides, Non-Oxides and Calcium-based.


  • Alumina
  • Aluminum nitride
  • ATZ
  • Boron carbide
  • Cordierite
  • Glass
  • HA
  • Magnesia
  • Silica
  • Silicate
  • Silicon carbide
  • Silicon nitride
  • TCP
  • Zirconia
  • ZTA


  • Clay
  • Concrete
  • Silica
  • Silica Sand
  • Silicate

💵 Price segments

Our database considers all companies and all products available today in the additive manufacturing industry. The hardware dataset is organized into six categories based on price points. These categories include Consumer (priced under $1,000), Prosumer (priced $1,000–$5,000), Professional (priced $5,000–$50,000), Entry-level Industrial (priced $50,000–$100,000), Mid-level Industrial (priced $100,000–$300,000), and High-level Industrial (priced over $300,000).

This is important in order to give nuance to our analyses.

For example, the sale volume of Consumer 3D printers is carefully considered in our analyses. This is because the number of low-cost 3D printer units shipped each year, almost entirely in the polymer segment and predominantly from Chinese manufacturers, is orders of magnitude larger than that of professional-level systems. Without price segments, the data would be significantly skewed.

To put this into context, whilst industrial systems (those priced between $100,000 and $300,000+) sales represented 78% of the overall revenues generated in 2022, they accounted for just 1% of all units sold. An easy option is to remove low-cost systems from our analyses, but at 22% of all hardware revenues generated (a figure close to $1 billion), we believe that any accurate analysis of the global additive manufacturing market cannot ignore this price point segment.

🌍 Countries and Regions

Our database covers companies in 98 unique countries across EMEA (56%), NA (26%), APAC (16%) and LATAM (1%).

🇦🇷 Argentina
🇦🇺 Australia
🇦🇹 Austria
🇧🇾 Belarus
🇧🇪 Belgium
🇧🇷 Brazil
🇧🇬 Bulgaria
🇨🇦 Canada
🇨🇱 Chile
🇨🇳 China
🇨🇴 Colombia
🇭🇷 Croatia
🇨🇿 Czech Republic
🇩🇰 Denmark
🇪🇬 Egypt
🇫🇮 Finland
🇫🇷 France
🇩🇪 Germany
🇬🇷 Greece
🇭🇰 Hong Kong
🇭🇺 Hungary
🇮🇳 India
🇮🇷 Iran
🇮🇪 Ireland
🇮🇱 Israel
🇮🇹 Italy
🇯🇵 Japan
🇯🇴 Jordan
🇱🇻 Latvia
🇱🇮 Liechtenstein
🇱🇹 Lithuania
🇱🇺 Luxembourg
🇲🇾 Malaysia
🇲🇹 Malta
🇲🇽 Mexico
🇲🇦 Morocco
🇳🇱 Netherlands
🇳🇿 New Zealand
🇳🇴 Norway
🇵🇱 Poland
🇵🇹 Portugal
🇷🇺 Russia
🇸🇦 Saudi Arabia
🇷🇸 Serbia
🇸🇬 Singapore
🇸🇰 Slovakia
🇸🇮 Slovenia
🇿🇦 South Africa
🇰🇷 South Korea
🇪🇸 Spain
🇸🇪 Sweden
🇨🇭 Switzerland
🇹🇼 Taiwan
🇹🇭 Thailand
🇹🇷 Turkey
🇦🇪 UAE
🇬🇧 UK
🇺🇦 Ukraine
🇺🇸 USA
🇻🇳 Vietnam

Forecast model

All the data collected by VoxelMatters each year provides the basis of our 10-year forecasts for all key metrics in AM hardware, materials and services segments. These forecasts are based on our proprietary forecast model, which is refined every year and considers multiple variables translated into coefficients that affect both product demand and sale revenue growth. These are then compared to establish the trend for average product price and estimate each product area’s growth trend.

The underlying premise is that all AM technologies will experience significant growth over the next 10 years. However, some technologies will grow faster and at different intervals than others. The assessment of overall industry growth is based on hardware growth trends which were estimated by converting several influencing factors into growth coefficients affecting yearly sales, average prices and installed base.

The current database has data from 2020, 2021 and 2022 with forecasts through 2033.

📈 10-year forecast

  • The amount of investment placed into the commercialization and marketing of a specific technology by hardware vendors and/or their investors.
  • The financial strength of stakeholders investing in developing and industrializing a technology.
  • Challenges associated with a specific process that may limit productivity.
  • Challenges associated with standardization and regulations in certain safety-critical adoption segments such as aerospace, medical and certain consumer product segments.
  • The number of compatible materials available and challenges associated with developing new compatible materials.
  • Hardware-specific costs, general CapEx cost of owning hardware, hardware depreciation and costs of running the hardware.
  • Hardware scalability and industrial workflow integration/automation capabilities.
  • The number of possible applications and adoption segments.
  • Expected growth rates of likely adoption sectors.
  • Expected investments and drive to invest in innovation by operators in the possible adoption sectors.
  • Hardware productivity and cost-competitiveness with other AM processes and traditional, non-additive (formative and subtractive) manufacturing.