by These machines help place fibers, tows and tapes onto tools or molds for the production of composite parts for various industries including aerospace, automotive, marine and wind energy.
The Global automated fiber placements and automated tape laying machines Market is estimated to be valued at US$ 355.11 Mn in 2024 and is expected to exhibit a CAGR of 4.1% over the forecast period 2024 to 2030
Key Takeaways
Key players operating in the automated fiber placements and automated tape laying machines are Callaway Golf Company, Sumitomo Rubber Industries, Nike Inc., Acushnet Holdings, Mizuno Corporation, Taylormade Golf Company Inc., Adidas Group, Bridgestone Corporation, Puma SE, PING, and Anta Sports Products Limited (Amer Sports).
The key opportunities in the market include advanced robotics and integration with additive manufacturing which helps in increased application areas. Adoption of smarter deposition techniques like automated fiber placement and automated tape laying machines helps reduce labor costs and improves production throughput.
Technological advancements like multi-axis machines, 3D preforming, and integration with Non-Destructive Testing (NDT) are expanding the capabilities of automated fiber placement and automated tape laying. This is fueling their adoption in manufacturing complex composite parts for various industries.
Market drivers
The major market driver is the growing demand for lightweight and high strength composite materials from industries like aerospace and automotive. Automated fiber placement and automated tape laying machines help produce complex net shape thermoplastic and thermosetting composite parts in a cost effective manner compared to manual layup processes. This is increasing their adoption globally.
Current Challenges in the Automated Fiber Placements And Automated Tape Laying Machines Market
Automated Fiber Placements And Automated Tape Laying Machines Market Size faces several challenges currently. The high initial cost of setting up these advanced automated machines is a major concern for smaller companies. Any glitches or downtime in the machines also impacts the production efficiency. There is also a shortage of skilled workers who can operate and maintain these complex automated machines. This increases dependence on outside contractors and vendors. Keeping the machines upgraded with the latest technologies also leads to continuous additional expenses for manufacturers.
SWOT Analysis
Strength: Automated machines provide improved quality, repeatability and reduced labor costs compared to manual processes. They offer high production rates for large volume composite component manufacturing.
Weakness: High capital expenditure is required for purchasing and setting up automated machines. Effective training is needed for operators to program and run the machines optimally.
Opportunity: Growing demand for composites in aircraft interiors, passenger vehicles and wind turbines is driving the need for automated fiber placement and tape laying. Adoption of industry 4.0 technologies can further enhance the capabilities of these machines.
Threats: Downtime of sophisticated automated machines severely impacts production schedules. Technology obsolescence is another challenge as newer, advanced machines are regularly introduced.
Geographical Regions
In terms of value, the North American region currently holds the largest share in the automated fiber placements and automated tape laying machines market, driven by presence of major aircraft OEMs and tier players. Europe is another major region supported by booming aerospace and automotive industries.
The Asia Pacific region is expected to be the fastest growing geographical segment for the automated fiber placements and automated tape laying machines market over the forecast period. This is due to increasing investments by international composite manufacturers in countries like China, India and Japan to tap the opportunities in commercial aircraft, wind energy and infrastructure industries.
Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it
