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Global Unmanned Composites Market to reach USD XX billion by the end of 2030.

Global Unmanned Composites Market Size study & Forecast, by Platform (Unmanned Aerial Vehicle (UAV), Unmanned Ground Vehicle (UGV), Unmanned Surface Vehicle (USV), Autonomous Underwater Vehicle (AUV), Remotely Operated Vehicle (ROV), Autonomous Ship, Passenger Drone), by Application (Interior, Exterior), by Type (Carbon Fiber Reinforced Polymer (CFRP), Glass Fiber Reinforced Polymer (GFRP), Aramid Fiber Reinforced Polymer (AFRP), Boron Fiber Reinforced Polymer (BFRP)) and Regional Analysis, 2023-2030

Product Code: CMGCN-25335007
Publish Date: 15-05-2023
Page: 200

Global Unmanned Composites Market is valued approximately at USD XX billion in 2022 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2023-2030. The Unmanned Composites Market refers to the market for unmanned aerial vehicles (UAVs) made of composite materials. Composite materials are a combination of two or more materials with different physical and chemical properties, designed to create a material with superior performance characteristics. The major driving factors for the Global Unmanned Composites Market are rising demand for lightweight and durable materials and growing demand for UAVs. Moreover, technological advancement and cohesive government support for development of unmanned composites is creating lucrative growth opportunities for the market during 2023-2030.

In 2019, the United States Army announced plans to purchase over 900 Unmanned Aerial Systems (UAS) from Textron Systems, a leading provider of unmanned systems. The purchase was part of the army’s effort to modernize its fleet and increase its unmanned capabilities. Along with this, in 2020, the global delivery company, UPS, received approval from the Federal Aviation Administration (FAA) to operate a fleet of drones for commercial deliveries. The company plans to use drones to deliver medical supplies and samples, as well as other items, to various locations.
Similarly, in 2021, the Australian Defense Force announced plans to acquire a fleet of MQ-9B SkyGuardian drones from General Atomics Aeronautical Systems to enhance its intelligence, surveillance, and reconnaissance capabilities. Thus, rising support of government for UAVs is driving the growth for the market However, the high initial cost of Unmanned Composites stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Unmanned Composites Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America is currently the largest market for unmanned composites, with the United States is the major contributor to the market growth in the region. The presence of major players such as General Atomics, Northrop Grumman, and Boeing in the region is driving the market growth. Asia-Pacific is expected to be the fastest-growing market for UAVs made of composites in the coming years. The increasing demand for drones for commercial applications, such as aerial photography and delivery, is driving the growth of the market in the region. China is a major contributor to the growth of the market in the region, with the country being one of the largest producers of drones in the world.

Major market player included in this report are:
Gurit (Switzerland)
Hexcel Corporation (US)
Materion Corporation (US)
Mitsubishi Rayon (Japan)
Owens Corning (US)
Renegade Materials Corporation (US)
Solvay (Belgium)
Stratasys (US)
Teijin Limited (Japan)
Teledyne (US)
Toray Industries (Japan)

Recent Developments in the Market:
Ø DJI, a major drone manufacturer, launched the Mavic Air 2 drone in 2020, which is made of composite materials and is designed for aerial photography and videography.
Ø Airbus launched a new type of drone called the Zephyr in 2021, which is made of composite materials and is capable of flying for up to 100 days without landing. The drone is designed for military and civilian applications such as surveillance, communication, and environmental monitoring.

Global Unmanned Composites Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Platform, Application, Type, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Platform offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Platform:
Unmanned Aerial Vehicle (UAV)
Unmanned Ground Vehicle (UGV)
Unmanned Surface Vehicle (USV)
Autonomous Underwater Vehicle (AUV)
Remotely Operated Vehicle (ROV)
Autonomous Ship
Passenger Drone
By Application:
Interior
Exterior
By Type:
Carbon Fiber Reinforced Polymer (CFRP)
Glass Fiber Reinforced Polymer (GFRP)
Aramid Fiber Reinforced Polymer (AFRP)
Boron Fiber Reinforced Polymer (BFRP)

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Unmanned Composites Market, by region, 2020-2030 (USD Billion)
1.2.2. Unmanned Composites Market, by Platform, 2020-2030 (USD Billion)
1.2.3. Unmanned Composites Market, by Application, 2020-2030 (USD Billion)
1.2.4. Unmanned Composites Market, by Type, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Unmanned Composites Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Unmanned Composites Market Dynamics
3.1. Unmanned Composites Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Increasing demand for Lightweight and Durable Materials
3.1.1.2. Growing Demand for UAVs
3.1.2. Market Challenges
3.1.2.1. High Initial Costs
3.1.3. Market Opportunities
3.1.3.1. Technological Advancements
3.1.3.2. High government support
Chapter 4. Global Unmanned Composites Market: Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economic
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Unmanned Composites Market, by Platform
5.1. Market Snapshot
5.2. Global Unmanned Composites Market by Platform, Performance – Potential Analysis
5.3. Global Unmanned Composites Market Estimates & Forecasts by Platform 2020-2030 (USD Billion)
5.4. Unmanned Composites Market, Sub Segment Analysis
5.4.1. Unmanned Aerial Vehicle (UAV)
5.4.2. Unmanned Ground Vehicle (UGV)
5.4.3. Unmanned Surface Vehicle (USV)
5.4.4. Autonomous Underwater Vehicle (AUV)
5.4.5. Remotely Operated Vehicle (ROV)
5.4.6. Autonomous Ship
5.4.7. Passenger Drone
Chapter 6. Global Unmanned Composites Market, by Application
6.1. Market Snapshot
6.2. Global Unmanned Composites Market by Application, Performance – Potential Analysis
6.3. Global Unmanned Composites Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
6.4. Unmanned Composites Market, Sub Segment Analysis
6.4.1. Interior
6.4.2. Exterior
Chapter 7. Global Unmanned Composites Market, by Type
7.1. Market Snapshot
7.2. Global Unmanned Composites Market by Type, Performance – Potential Analysis
7.3. Global Unmanned Composites Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
7.4. Unmanned Composites Market, Sub Segment Analysis
7.4.1. Carbon Fiber Reinforced Polymer (CFRP)
7.4.2. Glass Fiber Reinforced Polymer (GFRP)
7.4.3. Aramid Fiber Reinforced Polymer (AFRP)
7.4.4. Boron Fiber Reinforced Polymer (BFRP)
Chapter 8. Global Unmanned Composites Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Unmanned Composites Market, Regional Market Snapshot
8.4. North America Unmanned Composites Market
8.4.1. U.S. Unmanned Composites Market
8.4.1.1. Platform breakdown estimates & forecasts, 2020-2030
8.4.1.2. Application breakdown estimates & forecasts, 2020-2030
8.4.1.3. Type breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Unmanned Composites Market
8.5. Europe Unmanned Composites Market Snapshot
8.5.1. U.K. Unmanned Composites Market
8.5.2. Germany Unmanned Composites Market
8.5.3. France Unmanned Composites Market
8.5.4. Spain Unmanned Composites Market
8.5.5. Italy Unmanned Composites Market
8.5.6. Rest of Europe Unmanned Composites Market
8.6. Asia-Pacific Unmanned Composites Market Snapshot
8.6.1. China Unmanned Composites Market
8.6.2. India Unmanned Composites Market
8.6.3. Japan Unmanned Composites Market
8.6.4. Australia Unmanned Composites Market
8.6.5. South Korea Unmanned Composites Market
8.6.6. Rest of Asia Pacific Unmanned Composites Market
8.7. Latin America Unmanned Composites Market Snapshot
8.7.1. Brazil Unmanned Composites Market
8.7.2. Mexico Unmanned Composites Market
8.8. Middle East & Africa Unmanned Composites Market
8.8.1. Saudi Arabia Unmanned Composites Market
8.8.2. South Africa Unmanned Composites Market
8.8.3. Rest of Middle East & Africa Unmanned Composites Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Gurit (Switzerland)
9.3.1.1. Key Information
9.3.1.2. Overview
9.3.1.3. Financial (Subject to Data Availability)
9.3.1.4. Product Summary
9.3.1.5. Recent Developments
9.3.2. Hexcel Corporation (US)
9.3.3. Materion Corporation (US)
9.3.4. Mitsubishi Rayon (Japan)
9.3.5. Owens Corning (US)
9.3.6. Renegade Materials Corporation (US)
9.3.7. Solvay (Belgium)
9.3.8. Stratasys (US)
9.3.9. Teijin Limited (Japan)
9.3.10. Teledyne (US)
9.3.11. Toray Industries (Japan)
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

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Data Collection:
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To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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