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AE23028635 |
Pages: 280 |
Feb 2023 |
Artificial intelligence (AI) is one of the most generally recognized technologies across a wide range of sectors, including manufacturing. AI industrial robots are gaining popularity in the manufacturing industry. Industrial automation has already changed the manufacturing process, and AI-enabled robots are increasing that effect with more efficient and smooth procedures. AI industrial robots improves in the accuracy and consistency of product manufacture. Robots can operate for long periods of time without tiring and may function in hazardous environments. They save labor and inventory expenses while allowing for a quick response to design changes. As a result, AI-enabled industrial robots can significantly increase production value. These factors are anticipated to boost the artificial intelligence and robotics in aerospace and defense industry growth in the upcoming years.
One of the most significant threats to the artificial intelligence and robotics in aerospace and defense sector is the continuous transformation in the relationship between aircraft manufacturers and their suppliers. This will have a detrimental impact on the suppliers' sales and profitability. Additionally, the global military sector is facing a significant challenge to remain profitable in the face of a prospective market decline and to high costs in order to maintain consistent financial performance.
Due to technological advancements, it is now possible to perform complicated activities within a single click. AI-enabled robots provide a completely automated procedure that requires no human intervention. Artificially intelligent technologies are programmed to react automatically to unexpected events. Industrial robotics using artificial intelligence (AI) is based on algorithms that automate decision-making in manufacturing activities. These algorithms improve over time as the machine learns innovative methods to do the task. These factors are driving AI and robotics in aerospace and defense market growth.
According to regional analysis, the Asia-Pacific artificial intelligence and robotics in aerospace and defense market in anticipated to show the fastest growth during the forecast period. This is because in China's New Generation Artificial Intelligence Development Plan highlights the country's strategy for developing AI for defense applications such as command and decision-making support, military deductions, defense equipment, and other uses. Such advancements are expected to have a significant beneficial impact on the market under consideration throughout the projected period.
Artificial intelligence and robotics are two powerful technologies that, when combined, generate an even more powerful technology. Artificial intelligence and robotics can be utilized to efficiently do a range of activities, eliminating the need for human labor in many cases.
Robotics and artificial intelligence (AI) complement and expand human potential, boost productivity, and shift away from basic thinking and toward human-like cognitive skills. The era of augmented intelligence, which seamlessly links human and machine intellect is the next stage of AI.
The global aerospace and defense manufacturing sector is undergoing an unprecedented disruption due to the COVID-19 pandemic. Also, the revenue of airport operators and airlines in the commercial airline industry declined in 2020 and 2021 due to restrictions on internal and international travel to slow the spread of COVID-19. Consequently, the market for artificial intelligence and robotics in aerospace and defense witnessed a slight decline as the revenues of end users declined. Furthermore, several major airlines and airport authorities have invested in the use of artificial intelligence in different passenger operations at airports to improve safety and efficiency during the COVID-19 epidemic.
The rising use of AI-based technologies in the aerospace and defense sector, as well as increased expenditures being allocated to develop and integrate AI and machine learning (ML) into end-user sectors, are expected to keep the market in focus throughout the forecast period. However, the associated technical and operational challenges that are frequently experienced throughout the early phases of development and acceptance of a nascent technology are impeding the adoption of AI-based technologies.
An increasing focus is being placed on developing AI systems that will enable autonomous operations in the aviation sector. AI has been integrated at various levels in a variety of aerospace applications, including aircraft maintenance, aircraft health and performance monitoring, airport operations, and pilot training, among others. Now that a new roadmap for the safe and ethical operation of AI has been established, companies in the aerospace and military sectors are likely to expand their deployment of AI and machine learning technology.
The defense sector has been one of the most active users of AI technologies. AI is rapidly becoming more prevalent in intelligence operations, command and control, and the usage of various semiautonomous and autonomous vehicles. In the modern military, aircraft autonomy based on AI concepts is in use to varied degrees. AI-based technologies, targeting technology, and autonomous drones are all utilized in the intelligence, surveillance, and reconnaissance (ISR) system.
To know more about global artificial intelligence and robotics in aerospace and defense market drivers, get in touch with our analysts here.
Although AI technology and autonomous operations improve military decision-making, and increase the speed and scope of military action, these technologies may also be unpredictable or susceptible to unusual forms of manipulation. As a result, there is skepticism over the dependability of AI-based systems and robots in future combat operations. Additionally, using robots in complex military scenarios has given rise to a number of moral considerations. Concerns regarding utilizing killer robots that can fire weapons autonomously without a human in the loop have prompted scientists and activities to push the United Nations and global government to consider a preemptive ban on killer robots. During the projected term, these concerns and the ensuing pressure on the government are anticipated to hinder market growth.
A significant number of research and development activities are presently happening around the world to investigate the possible uses of artificial intelligence (AI) in the aerospace sector, particularly in domains such as air traffic control. Aviation authorities are now focusing on resolving ethical and safety issues about the incorporation of AI in such operations. In 2020, EASA published Artificial Intelligence Roadmap 1.0, which provides the Agency's initial perspective on the safety and ethical components of AI development in the aviation domain. Euro control, Europe's primary agency for coordinating and planning all air traffic control, has announced an action plan to accelerate the development of AI in aviation and air traffic management. Such instances provide lucrative opportunities for the market studied.
To know more about global artificial intelligence and robotics in aerospace and defense market opportunities, get in touch with our analysts here.
Based on type, the market has been divided into hardware, software, and services. Among these, the software sub-segment accounted for the highest market share in 2021 and it is estimated to show the fastest growth during the forecast period.
Source: Research Dive Analysis
The software sub-type accounted for a dominating market share in 2021. This segment includes a variety of software algorithms created by companies or made accessible through open-source platforms. The acceptability of AI-enabled technology is mostly determined by software, which is one of the key defining aspects. Strategic agility and readiness are getting more complex and demand for improved operating systems is increasing. Data is a crucial facilitator for information-driven operations in innovative realms like cyber and space, that demand its use. The development of cloud-based AI computer algorithms received significant investment from major corporations including IBM, Microsoft, and Google. TensorFlow and Google's open-source AI platform allow anyone to obtain hands-on expertise in AI computation and supply the company with unique datasets, helping them to identify future market opportunities.
Based on application, the market has been divided into military, commercial, and space. Among these, the military sub-segment accounted for highest revenue share in 2021.
Source: Research Dive Analysis
The military sub-segment accounted for a dominating market share in 2021. It is expected that automated logistics, which combines 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, will support market growth. Increased military budget spending on R&D and the purchase of AI-based equipment, as well as increased investments in the development and integration of AI and robotics, are also expected to improve market prospects. These factors are anticipated to boost the growth of the military sub-segment during the analysis timeframe.
The artificial intelligence and robotics in aerospace and defense market was investigated across North America, Europe, Asia-Pacific, and LAMEA.
Source: Research Dive Analysis
The Asia-Pacific artificial intelligence and robotics in aerospace and defense market is anticipated to show the fastest growth during the forecast period. In the use of artificial intelligence and machine learning technologies, OEMs and operators equally are expected to increase their investment in AI integration procedures throughout the supply chain. The leading innovators in the field of AI development and integration have emerged to be countries including Japan, South Korea, and China. Advanced AI applications in the aviation sector are the focus of research projects being carried out through numerous institutes in the area. Numerous manufacturing facilities in Asia-Pacific that produce aircraft and related components have seen consistent gains as a consequence of the adoption of AI technologies. For instance, the Pratt & Whitney factory in Singapore has recently experienced continuous rise in output volumes as a result of the adoption of adaptive machining and cutting-edge automated inspection systems.
Investment and agreement are common strategies followed by major market players. For instance, in October 2021, IBM and Raytheon Technologies have entered into a collaboration agreement to create advanced artificial intelligence, cryptography, and quantum technologies for the aerospace, defense, and intelligence industries. For aerospace and government clients, the systems integrated with AI and quantum technologies are expected to have more secure communication networks and enhanced decision-making processes.
Source: Research Dive Analysis
Some of the leading artificial intelligence and robotics in aerospace and defense market players are Airbus SE, IBM Corporation, Boeing Company, GE Aviation, Thales Group, Lockheed Martin Corporation, Intel Corporation, Raytheon Technologies Corporation, General Dynamics Corporation, and Microsoft Corporation.
Aspect | Particulars |
Historical Market Estimations | 2021 |
Base Year for Market Estimation | 2021 |
Forecast Timeline for Market Projection | 2022-2031 |
Geographical Scope | North America, Europe, Asia-Pacific, and LAMEA |
Segmentation by Type |
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Segmentation by Application |
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Key Companies Profiled |
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1.Research Methodology
1.1.Desk Research
1.2.Real time insights and validation
1.3.Forecast model
1.4.Assumptions and forecast parameters
1.5.Market size estimation
1.5.1.Top-down approach
1.5.2.Bottom-up approach
2.Report Scope
2.1.Market definition
2.2.Key objectives of the study
2.3.Report overview
2.4.Market segmentation
2.5.Overview of the impact of COVID-19 on the global artificial intelligence and robotics in aerospace and defense market
3.Executive Summary
4.Market Overview
4.1.Introduction
4.2.Growth impact forces
4.2.1.Drivers
4.2.2.Restraints
4.2.3.Opportunities
4.3.Market value chain analysis
4.3.1.List of raw material suppliers
4.3.2.List of manufacturers
4.3.3.List of distributors
4.4.Innovation & sustainability matrices
4.4.1.Technology matrix
4.4.2.Regulatory matrix
4.5.Porter’s five forces analysis
4.5.1.Bargaining power of suppliers
4.5.2.Bargaining power of consumers
4.5.3.Threat of substitutes
4.5.4.Threat of new entrants
4.5.5.Competitive rivalry intensity
4.6.PESTLE analysis
4.6.1.Political
4.6.2.Economical
4.6.3.Social
4.6.4.Technological
4.6.5.Environmental
4.7.Impact of COVID-19 on the artificial intelligence and robotics in aerospace and defense market
4.7.1.Pre-covid market scenario
4.7.2.Post-covid market scenario
5.Artificial Intelligence and Robotics in Aerospace and Defense Market Analysis, by Type
5.1.Overview
5.2.Hardware
5.2.1.Definition, key trends, growth factors, and opportunities
5.2.2.Market size analysis, by region, 2021-2031
5.2.3.Market share analysis, by country, 2021-2031
5.3.Software
5.3.1.Definition, key trends, growth factors, and opportunities
5.3.2.Market size analysis, by region, 2021-2031
5.3.3.Market share analysis, by country, 2021-2031
5.4.Services
5.4.1.Definition, key trends, growth factors, and opportunities
5.4.2.Market size analysis, by region, 2021-2031
5.4.3.Market share analysis, by country, 2021-2031
5.5.Research Dive Exclusive Insights
5.5.1.Market attractiveness
5.5.2.Competition heatmap
6.Artificial Intelligence and Robotics in Aerospace and Defense Market Analysis, by Application
6.1.Overview
6.2.Military
6.2.1.Definition, key trends, growth factors, and opportunities
6.2.2.Market size analysis, by region, 2021-2031
6.2.3.Market share analysis, by country, 2021-2031
6.3.Commercial
6.3.1.Definition, key trends, growth factors, and opportunities
6.3.2.Market size analysis, by region, 2021-2031
6.3.3.Market share analysis, by country, 2021-2031
6.4.Space
6.4.1.Definition, key trends, growth factors, and opportunities
6.4.2.Market size analysis, by region, 2021-2031
6.4.3.Market share analysis, by country, 2021-2031
6.5.Research Dive Exclusive Insights
6.5.1.Market attractiveness
6.5.2.Competition heatmap
7.Artificial Intelligence and Robotics in Aerospace and Defense Market, by Region
7.1.North America
7.1.1.U.S.
7.1.1.1.Market size analysis, by Type, 2021-2031
7.1.1.2.Market size analysis, by Application, 2021-2031
7.1.2.Canada
7.1.2.1.Market size analysis, by Type, 2021-2031
7.1.2.2.Market size analysis, by Application, 2021-2031
7.1.3.Mexico
7.1.3.1.Market size analysis, by Type, 2021-2031
7.1.3.2.Market size analysis, by Application, 2021-2031
7.1.4.Research Dive Exclusive Insights
7.1.4.1.Market attractiveness
7.1.4.2.Competition heatmap
7.2.Europe
7.2.1.Germany
7.2.1.1.Market size analysis, by Type, 2021-2031
7.2.1.2.Market size analysis, by Application, 2021-2031
7.2.2.UK
7.2.2.1.Market size analysis, by Type, 2021-2031
7.2.2.2.Market size analysis, by Application, 2021-2031
7.2.3.France
7.2.3.1.Market size analysis, by Type, 2021-2031
7.2.3.2.Market size analysis, by Application, 2021-2031
7.2.4.Spain
7.2.4.1.Market size analysis, by Type, 2021-2031
7.2.4.2.Market size analysis, by Application, 2021-2031
7.2.5.Italy
7.2.5.1.Market size analysis, by Type, 2021-2031
7.2.5.2.Market size analysis, by Application, 2021-2031
7.2.6.Rest of Europe
7.2.6.1.Market size analysis, by Type, 2021-2031
7.2.6.2.Market size analysis, by Application, 2021-2031
7.2.7.Research Dive Exclusive Insights
7.2.7.1.Market attractiveness
7.2.7.2.Competition heatmap
7.3.Asia-Pacific
7.3.1.China
7.3.1.1.Market size analysis, by Type, 2021-2031
7.3.1.2.Market size analysis, by Application, 2021-2031
7.3.2.Japan
7.3.2.1.Market size analysis, by Type, 2021-2031
7.3.2.2.Market size analysis, by Application, 2021-2031
7.3.3.India
7.3.3.1.Market size analysis, by Type, 2021-2031
7.3.3.2.Market size analysis, by Application, 2021-2031
7.3.4.Australia
7.3.4.1.Market size analysis, by Type, 2021-2031
7.3.4.2.Market size analysis, by Application, 2021-2031
7.3.5.South Korea
7.3.5.1.Market size analysis, by Type, 2021-2031
7.3.5.2.Market size analysis, by Application, 2021-2031
7.3.6.Rest of Asia-Pacific
7.3.6.1.Market size analysis, by Type, 2021-2031
7.3.6.2.Market size analysis, by Application, 2021-2031
7.3.7.Research Dive Exclusive Insights
7.3.7.1.Market attractiveness
7.3.7.2.Competition heatmap
7.4.LAMEA
7.4.1.Brazil
7.4.1.1.Market size analysis, by Type, 2021-2031
7.4.1.2.Market size analysis, by Application, 2021-2031
7.4.2.Saudi Arabia
7.4.2.1.Market size analysis, by Type, 2021-2031
7.4.2.2.Market size analysis, by Application, 2021-2031
7.4.3.UAE
7.4.3.1.Market size analysis, by Type, 2021-2031
7.4.3.2.Market size analysis, by Application, 2021-2031
7.4.4.South Africa
7.4.4.1.Market size analysis, by Type, 2021-2031
7.4.4.2.Market size analysis, by Application, 2021-2031
7.4.5.Rest of LAMEA
7.4.5.1.Market size analysis, by Type, 2021-2031
7.4.5.2.Market size analysis, by Application, 2021-2031
7.4.6.Research Dive Exclusive Insights
7.4.6.1.Market attractiveness
7.4.6.2.Competition heatmap
8.Competitive Landscape
8.1.Top winning strategies, 2021
8.1.1.By strategy
8.1.2.By year
8.2.Strategic overview
8.3.Market share analysis, 2021
9.Company Profiles
9.1.Airbus SE
9.1.1.Overview
9.1.2.Business segments
9.1.3.Product portfolio
9.1.4.Financial performance
9.1.5.Recent developments
9.1.6.SWOT analysis
9.2.IBM Corporation
9.2.1.Overview
9.2.2.Business segments
9.2.3.Product portfolio
9.2.4.Financial performance
9.2.5.Recent developments
9.2.6.SWOT analysis
9.3.Boeing Company
9.3.1.Overview
9.3.2.Business segments
9.3.3.Product portfolio
9.3.4.Financial performance
9.3.5.Recent developments
9.3.6.SWOT analysis
9.4.GE Aviation
9.4.1.Overview
9.4.2.Business segments
9.4.3.Product portfolio
9.4.4.Financial performance
9.4.5.Recent developments
9.4.6.SWOT analysis
9.5.Thales Group
9.5.1.Overview
9.5.2.Business segments
9.5.3.Product portfolio
9.5.4.Financial performance
9.5.5.Recent developments
9.5.6.SWOT analysis
9.6.Lockheed Martin Corporation
9.6.1.Overview
9.6.2.Business segments
9.6.3.Product portfolio
9.6.4.Financial performance
9.6.5.Recent developments
9.6.6.SWOT analysis
9.7.Intel Corporation
9.7.1.Overview
9.7.2.Business segments
9.7.3.Product portfolio
9.7.4.Financial performance
9.7.5.Recent developments
9.7.6.SWOT analysis
9.8.Raytheon Technologies Corporation
9.8.1.Overview
9.8.2.Business segments
9.8.3.Product portfolio
9.8.4.Financial performance
9.8.5.Recent developments
9.8.6.SWOT analysis
9.9.General Dynamics Corporation
9.9.1.Overview
9.9.2.Business segments
9.9.3.Product portfolio
9.9.4.Financial performance
9.9.5.Recent developments
9.9.6.SWOT analysis
9.10.Microsoft Corporation
9.10.1.Overview
9.10.2.Business segments
9.10.3.Product portfolio
9.10.4.Financial performance
9.10.5.Recent developments
9.10.6.SWOT analysis
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