As many as ten million desktop 3D printers may be sold this year. This makes the desktop filament market potentially a significant business. I’ve interviewed key participants in this industry, users, and OEMs to develop a consolidated picture of the current market. I’ve made tables of major filament producers, compared pricing, and done analysis on the materials, prices, speed of delivery, marketing, resellers, and more. Then I used a stealth-mode deep-research AI business intelligence tool to index all pages of filament producers worldwide and all shop pages of 3D printer vendors. The tool indexed all forum mentions and blog posts, discussions, comments, and more about filament. This tool consolidated, analyzed, defined trends, and looked at the market as a whole. The research tool I’m using has capabilities way beyond publicly available LLMs, and delves much deeper into analysis and data. But this kind of capability is sure to become available more broadly.
So I did my analysis, listened to others to gather their views, and then separately looked to the AI tool for validation afterward. I would not recommend relying solely on indexing, crawling, or business intelligence software to do this. It’s only useful if you can spot errors, understand calculations, and have your own informed opinion. It’s also important to delve deeper when using any AI tool to understand why it makes certain assumptions and performs certain calculations. And in my opinion, it’s important to form your own opinion in advance in order to make the right query and understand if the tool is feeding you, and itself, the right information. I then sliced and diced the consolidated information in another tool, Google’s Notebook LM tool. I edited the information, removed some sources, and added others. Then I asked Notebook to generate a PowerPoint deck of some of the relevant information. This article was written entirely by me, and it demonstrates what someone can do with AI as a useful research tool. I’d never want AI to be my co-pilot; I want to land the plane, and I need to understand where and how we’re flying. Anyone who relies on AI to run your processes, intelligence, analysis, or judgment in the background without you understanding what you’re doing is an idiot. So I don’t want a co-pilot, nor do I want to cease doing critical thinking and run myself on autopilot. But I wouldn’t mind an AI Loyal Wingman. I mean, it’s not going to fly my plane, but it could take a bullet for me. As well as update you on the Desktop Filament Market today, this article will show you the ability of cutting-edge AI tools to aid and imperil research.
The Desktop Filament Market State of Play
Some of the initial filament players, low-cost Chinese brands, have entered into a killer competition with one another. eSUN seems to be weathering the storm somewhat, but other names have disappeared. Generally, we have small
As many as ten million desktop 3D printers may be sold this year. This makes the desktop filament market potentially a significant business. I’ve interviewed key participants in this industry, users, and OEMs to develop a consolidated picture of the current market. I’ve made tables of major filament producers, compared pricing, and done analysis on the materials, prices, speed of delivery, marketing, resellers, and more. Then I used a stealth-mode deep-research AI business intelligence tool to index all pages of filament producers worldwide and all shop pages of 3D printer vendors. The tool indexed all forum mentions and blog posts, discussions, comments, and more about filament. This tool consolidated, analyzed, defined trends, and looked at the market as a whole. The research tool I’m using has capabilities way beyond publicly available LLMs, and delves much deeper into analysis and data. But this kind of capability is sure to become available more broadly.
So I did my analysis, listened to others to gather their views, and then separately looked to the AI tool for validation afterward. I would not recommend relying solely on indexing, crawling, or business intelligence software to do this. It’s only useful if you can spot errors, understand calculations, and have your own informed opinion. It’s also important to delve deeper when using any AI tool to understand why it makes certain assumptions and performs certain calculations. And in my opinion, it’s important to form your own opinion in advance in order to make the right query and understand if the tool is feeding you, and itself, the right information. I then sliced and diced the consolidated information in another tool, Google’s Notebook LM tool. I edited the information, removed some sources, and added others. Then I asked Notebook to generate a PowerPoint deck of some of the relevant information. This article was written entirely by me, and it demonstrates what someone can do with AI as a useful research tool. I’d never want AI to be my co-pilot; I want to land the plane, and I need to understand where and how we’re flying. Anyone who relies on AI to run your processes, intelligence, analysis, or judgment in the background without you understanding what you’re doing is an idiot. So I don’t want a co-pilot, nor do I want to cease doing critical thinking and run myself on autopilot. But I wouldn’t mind an AI Loyal Wingman. I mean, it’s not going to fly my plane, but it could take a bullet for me. As well as update you on the Desktop Filament Market today, this article will show you the ability of cutting-edge AI tools to aid and imperil research.
The Desktop Filament Market State of Play
Some of the initial filament players, low-cost Chinese brands, have entered into a killer competition with one another. eSUN seems to be weathering the storm somewhat, but other names have disappeared. Generally, we have small