Product development is under pressure to move faster while preserving quality. A Q4 2023 survey published in 2024 found that the average product-development journey lasted 22 months, with ongoing production taking nearly a year. At the same time, 67% of engineering-community respondents reported using 3D printing for prototypes in 2023. Together, these figures show why prototyping remains a central product-design decision: it sits between long development cycles, growing iteration needs, and difficult choices about when to scale.
Contents
- Prototype timelines and stage economics
- Why teams are trying to move faster
- How 3D printing is used for prototypes
- The technology mix across industries
- Sector and regional differences
- What makes scale-up difficult
- AI expectations in prototyping
Prototype timelines and stage economics
The Product Development Trends in 2024 report describes a 22-month average product-development journey among surveyed companies. The measurement comes from a Q4 2023 survey published in 2024, so it should be read as a survey result rather than a universal timeline for every product category or geography.
The stages were not evenly sized. Ongoing production occupied nearly one year of the average journey, while early prototyping, late prototyping, and short-term production each typically lasted about 3–4 months. That distribution makes prototyping substantial, but shorter than the continuing-production phase.
The budget pattern was also uneven. The outsourced-manufacturing budget allocated to short-term production was 50% of the allocation for each of the other three development stages. In other words, the surveyed allocation for short-term production was half the allocation assigned to early prototyping, late prototyping, and ongoing production individually.
Economic considerations affected product-development goals most strongly during ongoing production, reaching 64% of respondents. Quality was the leading manufacturing-partner priority for 86% during ongoing production and 85% during short-term production. These results place cost pressure and quality expectations together at the point where development becomes sustained manufacturing.
Looking ahead five years from the survey, more than 62% expected reduced timelines to significantly affect both early- and late-prototyping goals. The result points to a specific pressure on prototype work: shortening the calendar may change not only launch timing but also the objectives assigned to each prototype stage.
Why teams are trying to move faster
The same Protolabs survey found that 82% of respondents were constantly looking for ways to speed up product development. Speed was connected to competition and demand: 65% said they needed to develop products faster to stay ahead of competitors, while 62% said consumer demand was driving the need for faster turnaround times.
More than half also described an unusually fast operating environment. A total of 53% said they were developing products faster than ever. Meanwhile, 58% said an uncertain economy had not slowed product development. These are respondent statements about their organizations, not a measured increase in cycle speed across the whole market.
The five-year outlook adds several constraints. Customer demands were identified by 78% as a factor affecting product-development efforts, and workforce challenges by 65%. By contrast, 63% expected sustainability to have little or no effect on product development over that period, while 66% expected AI to have little or no effect. Supply-chain disruption and material shortages were each cited by less than 45% as future challenges to meeting product-development goals.
This combination matters for prototyping. Teams reported strong speed pressure and significant customer influence, yet many respondents did not expect sustainability or AI to reshape product development substantially within five years. The figures describe expectations recorded in the survey’s five-year outlook; they are not forecasts of what ultimately happened.
How 3D printing is used for prototypes
The 3D Printing Trend Report 2024 reports that 67% of surveyed engineering-community respondents used 3D printing for prototyping in 2023. End-use parts accounted for 21%, and aesthetic parts for 4%. A further 9% chose 3D printing because they considered it less susceptible to supply-chain issues.
The reported production counts suggest a broadening pattern in use. In 2022, 76% of respondents printed more than 10 parts. The corresponding share was 49% in 2021 and 36% in 2020. For the higher threshold of more than 1,000 parts, the share was 4.7% in 2022 and 6.2% in 2023. These measurements use different years and thresholds, so they should not be treated as a single growth rate.
| 3D-printing measure | Reported share | Measurement period |
|---|---|---|
| Used 3D printing for prototyping | 67% | 2023 usage, reported in 2024 |
| Used it for end-use parts | 21% | 2023 usage, reported in 2024 |
| Printed more than 10 parts | 76% | 2022 |
| Printed more than 1,000 parts | 6.2% | 2023 |
Scale still determines when another process is preferred. In a 2024 survey, 45% said production volume and scale was a reason to choose another manufacturing technology instead of 3D printing. The implication is limited: respondents identified volume and scale as a reason, but the statistic does not specify a universal part-count threshold.
The technology mix across industries
Among respondents reporting 2023 usage, FDM was the most frequently used 3D-printing technology for 59%. SLA was most frequent for 20%, SLS for 11%, and MJF for 7%. The remaining share is not specified in the supplied report summary, so these four percentages should not be assumed to exhaust every technology choice.
Industry differences were pronounced. FDM was the most frequently used technology for 87% of agriculture respondents and 79% of construction respondents. In medical applications, 42% selected FDM most frequently and 40% selected SLA most frequently. SLA was the most frequent choice for 25% of biotechnology respondents, while 20% of automotive respondents selected SLS most frequently.
These figures describe the technology that respondents used most frequently within each industry, not the percentage of all industry projects made with that process. They are therefore useful for comparing reported preferences, but not for estimating total market share.
Sector and regional differences
The 3D Printing Trend Report also compared 2023 printing activity with 2022. Agriculture had the highest reported share among the listed sectors: 87% printed more parts in 2023 than in 2022. Electronics and transportation each recorded 83%, construction recorded 79%, and medical-device respondents recorded 75%.
The same report found meaningful use beyond prototypes in selected sectors. Thirty-three percent of transportation respondents used 3D printing for end-use parts, compared with 30% in robotics and 27% in industrial automation. In the Benelux region, 40% used 3D printing mainly for prototyping. Spain-and-Portugal respondents were the strongest listed year-over-year group: 100% printed more in 2023 than in 2022.
The regional comparison should be read carefully. “Printed more” compares respondents’ own 2023 activity with their 2022 activity; it does not establish that the region had the largest absolute printing volume. Likewise, “mainly for prototyping” identifies the principal reported use, not an exclusive use.
What makes scale-up difficult
Prototype success does not automatically make a process suitable for larger production. In the 2024 3D-printing survey, 27% cited post-processing and finishing requirements as a reason to choose another manufacturing method. Forty percent cited final-product quality and consistency. These barriers concern what happens after printing and whether results remain dependable, not simply whether a prototype can be produced.
The Aerospace Manufacturing in 2024 report provides a sector-specific view from a 2024 survey. Aerospace respondents selected 3D printing as a key prototyping or manufacturing technology at a rate of 74.09%, while 57.72% selected robotic manufacturing. Quality was a key part-design and manufacturing factor for 94.22%, compared with 57.53% for cost.
Automation was not universal in that aerospace sample. A total of 31.44% said under 25% of their manufacturing services were automated. The result is a reminder that advanced prototype technologies can coexist with relatively low automation coverage, especially when quality requirements and production decisions are evaluated separately.
AI expectations in prototyping
The 2024 3D-printing survey asked respondents where AI would have its biggest impact on 3D printing. Hardware-level automated print tuning using computer vision and sensors led the listed possibilities at 33%. Improved access to non-planar FDM through slicer software followed at 25%.
New materials and printing techniques were selected by 23%, while automated and accessible design-for-manufacturing at the slicer level was selected by 14%. These are expectations about the largest impact area, not adoption rates or measured performance improvements.
The contrast with the product-development outlook is useful. In the broader Q4 2023 product-development survey, 66% expected AI to have little or no effect on product development over the next five years. In the 2024 3D-printing survey, respondents still assigned specific possible impacts to AI, particularly hardware tuning, non-planar FDM, materials, and slicer-level design-for-manufacturing. The two results address different questions and populations, so they should be kept separate rather than combined into one forecast.
For product designers, the statistics point to a practical decision sequence: understand the calendar pressure, choose a prototype technology that fits the test objective, and evaluate finishing, consistency, scale, and automation before treating a successful prototype as a production path. The available survey evidence shows that prototyping is increasingly connected to manufacturing strategy, but it does not supply a universal process, timeline, or technology threshold.