The global artificial intelligence and robotics in aerospace and defense market is envisioned to garner $35,848.10 million by 2031, growing from $17,200.00 million in 2021 at a CAGR of 7.9% from 2022 to 2031.
AI and machine learning are components of smart technology that incorporate programmable intelligence into previously manual processes to streamline and optimize them. This improves overall efficiency and accuracy, as well as the speed with which they are completed.
Robots in aerospace engineering can perform non-destructive ultrasonic testing and metrology inspections that are highly accurate and beneficial to increasing manufacturing productivity. During the assembly process, they can also perform delamination, crack, and fastener inspections using imaging methods. These factors drive the artificial intelligence and robotics in aerospace and defense market growth.
The use of robotics in the manufacturing industry simplifies and optimizes the operational process. The operational process of conventional robots, on the other hand, includes risk related to the safety of workers working near the robots. For example, if the robot is performing the task of packaging finished goods, the workers cannot engage in post-packaging tasks at the same time. Thus, the addition of collaborative robots’ aids in the production of goods that can work in tandem with workers on the shop floor. As a result, collaborative robots were developed. They are more secure, easier to program, and integrate with other machines. The increasing demand for aircraft components is encouraging suppliers to incorporate collaborative robots into the manufacturing process in order to produce quality aircraft parts and systems in less time. Furthermore, a shift in manufacturing process safety standards following the COVID-19 pandemic will boost market growth.
Automation of robots is difficult, especially for small and medium-sized enterprises (SMEs). A large initial capital investment is required. Furthermore, training for the workforce in the programming and maintenance of the robots is required. SMEs use robots for a variety of applications including packaging, welding, assembly, and others. A change in the product specification, on the other hand, may result in a change in the operation of the robots. As a result, customization is required, which incurs an additional cost in the robot. As a result, these factors may impede the growth of this market.
Increased investments in the development and integration of AI and robotics, as well as increased defense budget allocation toward R&D and acquisition of AI-based equipment, are expected to boost market prospects. For instance, approximately 350 records were aligned to AI systems and equipment out of 21,000 equipment contracts published by the People's Liberation Army (PLA) China in 2020. NATO announced plans to launch an innovation fund worth USD 1 billion in October 2021 as its initial strategy to stay ahead of the competition in the AI vertical. In June 2021, the Pentagon announced plans to spend USD 874 million on AI and machine learning technologies as part of the Department of Defense (DoD) budget 2022, representing a 50% increase in budget allocation for AI-based technologies year over year. During the forecast period, such investments are expected to drive market growth in the military segment.
As the COVID-19 pandemic spreads around the world, many global aerospace and defense industry companies are feeling the effects. This article discusses the concerns about the short, medium, and long-term effects of COVID-19 on the industry, including aircraft manufacturing and defense, as well as the next steps that can be taken to respond, recover, and thrive. Companies in commercial aviation are experiencing production disruption and slowing demand as employees return home, passengers stop travelling, and customers postpone delivery of new aircraft. Spare part demand is also down because less maintenance is currently required. Aircraft manufacturers are capital intensive by nature, raising concerns about cash flow and liquidity in the short term. Contractors are better positioned on the defense side because COVID-19 will not have an immediate or mid-term impact. While production may slow for the same reasons that aircraft manufacturing has, demand over the next two years is unlikely to be affected because budgets for these projects were set prior to the pandemic, and the projects are critical to national defense.
The key players profiled in this report include Airbus SE, IBM Corporation, Boeing Company, GE Aviation, Thales Group, Lockheed Martin Corporation, Intel Corporation, Raytheon Technologies Corporation, General Dynamics Corporation, and Microsoft Corporation.
AI and machine learning are components of smart technology that incorporate programmable intelligence into previously manual processes to streamline and optimize them. This improves overall efficiency and accuracy, as well as the speed with which they are completed.
Robots in aerospace engineering can perform non-destructive ultrasonic testing and metrology inspections that are highly accurate and beneficial to increasing manufacturing productivity. During the assembly process, they can also perform delamination, crack, and fastener inspections using imaging methods. These factors drive the artificial intelligence and robotics in aerospace and defense market growth.
The use of robotics in the manufacturing industry simplifies and optimizes the operational process. The operational process of conventional robots, on the other hand, includes risk related to the safety of workers working near the robots. For example, if the robot is performing the task of packaging finished goods, the workers cannot engage in post-packaging tasks at the same time. Thus, the addition of collaborative robots’ aids in the production of goods that can work in tandem with workers on the shop floor. As a result, collaborative robots were developed. They are more secure, easier to program, and integrate with other machines. The increasing demand for aircraft components is encouraging suppliers to incorporate collaborative robots into the manufacturing process in order to produce quality aircraft parts and systems in less time. Furthermore, a shift in manufacturing process safety standards following the COVID-19 pandemic will boost market growth.
Automation of robots is difficult, especially for small and medium-sized enterprises (SMEs). A large initial capital investment is required. Furthermore, training for the workforce in the programming and maintenance of the robots is required. SMEs use robots for a variety of applications including packaging, welding, assembly, and others. A change in the product specification, on the other hand, may result in a change in the operation of the robots. As a result, customization is required, which incurs an additional cost in the robot. As a result, these factors may impede the growth of this market.
Increased investments in the development and integration of AI and robotics, as well as increased defense budget allocation toward R&D and acquisition of AI-based equipment, are expected to boost market prospects. For instance, approximately 350 records were aligned to AI systems and equipment out of 21,000 equipment contracts published by the People's Liberation Army (PLA) China in 2020. NATO announced plans to launch an innovation fund worth USD 1 billion in October 2021 as its initial strategy to stay ahead of the competition in the AI vertical. In June 2021, the Pentagon announced plans to spend USD 874 million on AI and machine learning technologies as part of the Department of Defense (DoD) budget 2022, representing a 50% increase in budget allocation for AI-based technologies year over year. During the forecast period, such investments are expected to drive market growth in the military segment.
As the COVID-19 pandemic spreads around the world, many global aerospace and defense industry companies are feeling the effects. This article discusses the concerns about the short, medium, and long-term effects of COVID-19 on the industry, including aircraft manufacturing and defense, as well as the next steps that can be taken to respond, recover, and thrive. Companies in commercial aviation are experiencing production disruption and slowing demand as employees return home, passengers stop travelling, and customers postpone delivery of new aircraft. Spare part demand is also down because less maintenance is currently required. Aircraft manufacturers are capital intensive by nature, raising concerns about cash flow and liquidity in the short term. Contractors are better positioned on the defense side because COVID-19 will not have an immediate or mid-term impact. While production may slow for the same reasons that aircraft manufacturing has, demand over the next two years is unlikely to be affected because budgets for these projects were set prior to the pandemic, and the projects are critical to national defense.
The key players profiled in this report include Airbus SE, IBM Corporation, Boeing Company, GE Aviation, Thales Group, Lockheed Martin Corporation, Intel Corporation, Raytheon Technologies Corporation, General Dynamics Corporation, and Microsoft Corporation.
Key Benefits For Stakeholders
- This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the artificial intelligence and robotics in aerospace and defense market analysis from 2021 to 2031 to identify the prevailing artificial intelligence and robotics in aerospace and defense market opportunities.
- The market research is offered along with information related to key drivers, restraints, and opportunities.
- Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
- In-depth analysis of the artificial intelligence and robotics in aerospace and defense market segmentation assists to determine the prevailing market opportunities.
- Major countries in each region are mapped according to their revenue contribution to the global market.
- Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
- The report includes the analysis of the regional as well as global artificial intelligence and robotics in aerospace and defense market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments
By Type
- Software
- Services
- Hardware
By Application
- Military
- Commercial
- Space
By Region
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Spain
- Italy
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia
- Rest of Asia-Pacific
- LAMEA
- Brazil
- Saudi Arabia
- UAE
- South Africa
- Rest of LAMEA
Key Market Players
- Airbus SE
- IBM Corporation
- Boeing Company
- ge aviation
- Thales Group
- Lockheed Martin Corporation
- Intel Corporation
- Raytheon Technologies Corporation
- General Dynamics Corporation
- Microsoft Corporation
Table of Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
CHAPTER 4: ARTIFICIAL INTELLIGENCE AND ROBOTICS IN AEROSPACE AND DEFENSE MARKET, BY TYPE
CHAPTER 5: ARTIFICIAL INTELLIGENCE AND ROBOTICS IN AEROSPACE AND DEFENSE MARKET, BY APPLICATION
CHAPTER 6: ARTIFICIAL INTELLIGENCE AND ROBOTICS IN AEROSPACE AND DEFENSE MARKET, BY REGION
CHAPTER 7: COMPETITIVE LANDSCAPE
CHAPTER 8: COMPANY PROFILES
List of Tables
List of Figures
Executive Summary
According to the report titled, “Artificial Intelligence And Robotics In Aerospace And Defense Market," the artificial intelligence and robotics in aerospace and defense market was valued at $17.2 billion in 2021, and is estimated to reach $35.9 billion by 2031, growing at a CAGR of 7.9% from 2022 to 2031.AI, machine learning, and other intelligent aerospace technologies are used every day by businesses to improve safety, productivity, and visibility across an entire operation. AI can be used in aerospace and defense to track, schedule, and manage maintenance that orders parts and schedules repairs before they are needed with more detailed data tracking. AI systems analyses historical data on part use, breakdowns, wear and tear, and other factors to accurately predict when a part should be replaced and when to order those parts.
AI equips robots with sufficient computer vision and motion control to better understand their surroundings and act accordingly. Similarly, machine learning trains robots so that, with timely evolution, they learn from their own mistakes, eliminating the need for constant human intervention and parallel effort.
Artificial intelligence (AI) technologies are seeing increased investment in the aerospace and defense industries across a variety of applications. Because of the rapid development of quantum computing and its exponential capabilities, investing in AI technologies has become a strategic priority. With industry stakeholders focusing on exploring and leveraging the benefits of artificial intelligence, the majority of the A&D industry players' critical strategies investment in the coming future is expected to be in the R&D of AI, ML, and blockchain technologies. AI has accelerated innovation in the aerospace and defense industries, particularly in the last decade. The number of AI-related patents awarded in the aerospace and defense industry increased from an average of 25 per year between 2000 and 2014 to 1,071 in 2020, with a five-year average of over 500. During the forecast period, such investments are expected to drive market growth.
The growing use of AI-based technologies in the A&D sector, as well as increased investments to develop and integrate AI and machine learning (ML) into end-user sectors, are expected to drive the market in focus during the forecast period. However, the associated technical and operational challenges that are frequently observed during the early stages of development and adoption of a nascent technology are impeding AI-based technology adoption.
Due to the rising success rate of missions utilizing these technologies, usage of artificial intelligence and robotics has been rising across numerous industries. Advancements in robotics and artificial intelligence brought about by the emergence of industry 4.0 are assisting the market by incorporating cutting-edge technologies into robots utilized in various aerospace applications. Robotics and artificial intelligence (AI) are being developed for commercial aviation to automate airport operations and undertake aircraft monitoring tasks to better plan operations. To increase the effectiveness of maintenance operations is also being implemented into the maintenance, repair, and operations ( MRO) sector.
Nevertheless, due to the rising dependability of AI-based systems, the government and a number of other participants in the artificial intelligence and robotics business are boosting their investments in these fields. Such investments are anticipated to allow participants to increase their R&D expenditures, enabling businesses to continuously innovate and launch more effective and sophisticated AI and robotics technologies, hence enhancing the market under study's prospects.
The plethora of AI applications within the military sector, such as big data analytics for better decision-making, automated logistics through the integration of unmanned ground vehicles (UGV) and unmanned aerial vehicles (UAV), bioinspired robots (swarm AI and deep neural networks), underwater mines location through neural networks, and object location are expected to promote market growth over the forecast period.
Aerospace companies are using AI to improve fuel efficiency by optimizing fuel consumption during the most taxing parts of a flight and can even build custom profiles based on pilots, aircraft, location, weather, and other factors. AI is also used in the development of new aircraft parts to continue to improve designs that are more aerodynamic and lighter weight in order to improve fuel efficiency.
The artificial intelligence and robotics in aerospace and defense market is segmented on the basis of type, application, and region. As per type, the market is classified into hardware, software, and services. On the basis of application, the market is classified into military, commercial, and space. Region wise, it is analyzed across North America (the U.S., Canada, and Mexico), Europe (UK, Germany, France, Italy, Spain, and rest of Europe), Asia-Pacific (China, India, Japan, South Korea, Australia, and rest of Asia-Pacific), and LAMEA (Brazil, Saudi Arabia, United Arab Emirates, South Africa, and rest of LAMEA).
The key players profiled in the study include Airbus SE, IBM Corporation, Boeing Company, GE Aviation, Thales Group, Lockheed Martin Corporation, Intel Corporation, Raytheon Technologies Corporation, General Dynamics Corporation, and Microsoft Corporation. The major players in the market are actively engaged in the adoption of various strategies such as product launches and business expansion.
Key Market Insights
- Based on type, the software sub-segment emerged as the global leader in 2021 and is anticipated to be the fastest growing sub-segment during the forecast period.
- Based on application, the military sub-segment emerged as the global leader in 2021 and is anticipated to be the fastest growing sub-segment during the forecast period.
- Based on region, the North America market registered the highest market share in 2021 and is projected to maintain its position during the forecast period.
Companies Mentioned
- Airbus SE
- IBM Corporation
- Boeing Company
- ge aviation
- Thales Group
- Lockheed Martin Corporation
- Intel Corporation
- Raytheon Technologies Corporation
- General Dynamics Corporation
- Microsoft Corporation
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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