Artificial Intelligence in Space Exploration Market | 2031
Artificial Intelligence in Space Exploration Market | 2031
Segments - Artificial Intelligence in Space Exploration Market by Type (Rovers, Robotic Arms, Space Probes, and Others), Application (Robotics, Remote Sensing and Monitoring, Data Analytics, Asteroid Mining, Manned Vehicles and Reusable Launch, Communications, and Remote Missions), End-user (Government and Commercial), and Region (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2023 – 2031
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| Report ID :ICT-SE-5599
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| 177 Pages
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Report Description
The global AI in space exploration market size was valued at USD XX Mn in 2022 and is likely to reach USD XX Mn by 2031, expanding at a CAGR of XX% during 2023 – 2031. Increasing demand for AI-driven autonomous decision-making and navigation due to the rising number of space missions is boosting the market.
The increasing number of satellite launch missions conducted by various space agencies and private companies is resulting in the rising adoption of artificial intelligence (AI), as it helps in improving mission success rates through data processing, autonomous navigation, and defect identification. These autonomous capabilities allow satellites to navigate, where communication breaks and make real-time control challenging.
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For instance, according to the report published by the US Government Accountability Office in September 2022, there are around 5,500 operational satellites orbiting the Earth in 2022. It is projected that approximately 58,000 new satellites are expected to be launched by 2030.
AI in space exploration refers to the integration of advanced computer systems that mimic human intelligence and decision-making processes to support various space missions. This technology enables spacecraft and rovers to operate autonomously, making decisions and conducting tasks without constant human guidance. AI has the ability to process vast amounts of data, gathered from space probes and telescopes, adapt to changing settings, make wise judgments, and interpret and analyze images taken by satellites, which further helps scientists to identify and analyze celestial phenomena efficiently.
The COVID-19 pandemic moderately impacted the market. The pandemic highlighted the importance of automation and remote operations in which AI technology is implemented. This further increased the demand for autonomous and AI-driven spacecraft and rovers. On the other hand, the travel restrictions and safety concerns reduced the workforce capabilities of various space agencies, resulting in the development and deployment of AI technologies for space missions.
AI in Space Exploration Market Dynamics
Major Drivers
Increasing number of space missions is expected to drive the market during the forecast period. Thus, the demand for artificial intelligence technology to enhance space missions is rising. Governmental and private space agencies have started exploring untapped areas of space. Thus, AI technology is necessary for autonomous spacecraft and rovers, enabling them to navigate and make decisions without constant human intervention. Furthermore, the growing complexity of space missions further boosts the adoption of AI technology in the space exploration market.
Existing Restraints
Complexity and high cost of developing and implementing AI technologies in space missions are expected to hinder the market. Research, prototyping, rigorous testing, and specialized equipment contribute to high development costs. Moreover, the integration of AI introduces new risks of technical failures or unforeseen behaviors of AI, which further reduces their demand in the market.
Emerging Opportunities
Integrating AI technologies into mining robotics and autonomous spacecraft is expected to create favorable opportunities for the players competing in the market. These technologies are expected to help to efficiently extract valuable resources from celestial bodies, such as asteroids and the moon. This collected information further supports future space missions and even sustains a human presence in space. Furthermore, AI-driven space telescopes and observatories are discovering and studying distant exoplanets and celestial phenomena, which further contribute to the growth of the market.
Scope of the AI in Space Exploration Market Report
The report on the market includes an assessment of the market, trends, segments, and regional markets. Overview and dynamics have also been included in the report.
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Attributes |
Details |
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Report Title |
AI in Space Exploration Market- Global Industry Analysis, Growth, Share, Size, Trends, and Forecast |
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Base Year |
2022 |
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Historic Data |
2016–2021 |
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Forecast Period |
2023–2031 |
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Segmentation |
Type (Rovers, Robotic arms, Space probes, and Others), Application (Robotics, Remote Sensing and Monitoring, Data Analytics, Asteroid Mining, Manned Vehicles and Reusable Launch, Communications, and Remote Missions), and End-user (Government and Commercial) |
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Regional Scope |
Asia Pacific, North America, Latin America, Europe, and Middle East & Africa |
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Report Coverage |
Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, and Trends, and Revenue Forecast |
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Key Players Covered in the Report |
Northrop Grumman; DARPA; NEURALA, INC; Descartes Labs, Inc; Iris Automation Inc.; PrecisionHawk, Inc.; Pilot AI Labs, Inc; TTTech Computertechnik AG; and MRX Global Holding Corporation |
Market Segment Insights
Type Segment Analysis
Based on type, the AI in space exploration market is divided into rovers, robotic arms, space probes, and others. The robotic arms segment is expected to hold a major market revenue share during the forecast period, as this technology provides a high degree of precision, which enables users to perform delicate tasks in space. This level of precision is essential for exploring and studying celestial bodies and scientific research. Moreover, robotic arms reduce the need for risky and expensive human spacewalks, which further boosts their demand in the market.
The rovers segment is anticipated to register a robust growth rate. The combination of AI technologies and rovers opens up new possibilities for space exploration. AI allows rovers to operate with limited communication, reducing reliance on control from Earth. This capability is helpful in deep space exploration. Furthermore, AI-driven rovers have the potential to enhance space mining which contributes to the market growth.
Application Segment Analysis
On the basis of application, the market is classified as robotics, remote sensing and monitoring, data analytics, asteroid mining, manned vehicles, and reusable launch, communications, and remote missions. The robotics segment accounted for a large share of the market and is estimated to generate major revenue in the coming years. The integration of AI in robotics enhances the efficiency, precision, and adaptability of space missions. AI algorithms enable robots to process vast amounts of data rapidly, identify celestial objects, and conduct scientific research effectively. Moreover, AI-driven robotics reduces risks and ensures the safety of astronauts during space missions.
The remote sensing and monitoring segment is anticipated to hold a substantial share of the market during the projected period, as it is useful for monitoring disaster situations and forecasting the weather. It detects and observes the physical characteristics of an area by measuring reflected and emitted radiation. The utilization of AI in remote sensing makes it more accurate and faster than traditional methods, making it ideal for analyzing changes in the environment.
End-user Segment Analysis
In terms of end-user, the AI in space exploration market is bifurcated into government and commercial. The government segment is estimated to hold a key market share during the projected period, as governments around the world are heavily investing in space missions. The ambitious deep-space mission requires AI-based autonomous and intelligent systems to enhance efficiency and productivity. Moreover, the rising collaborations between governmental space agencies and private space companies to advance space exploration technology further propel the market.
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On June 16, 2023, NASA, a US government space agency, announced its partnership with seven private companies in America to develop advanced space capabilities, including artificial intelligence-based technology. This partnership is ultimately beneficial for human space missions and the low-earth orbital economy of the US commercial sector.
The commercial segment is expected to grow at a significant CAGR in the coming years, owing to the increasing involvement of private companies in space missions. These companies are actively exploring opportunities in space missions for satellite deployment and space tourism. The space tourism operation requires advanced AI technologies to optimize operations and ensure mission success, which contributes to thrusting the segment.
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For instance, on June 15, 2023, Virgin Galactic Holding, Inc., a global commercial spaceline company, has recently launched its commercial spaceline operations. The company's first commercial spaceflight, named 'Galactic 01' was scheduled to fly between June 27th and July 30th. The second spaceflight, 'Galactic 02', is planned to launch in early August 2023. This early start in the space race kept this company at the forefront of space exploration.
Regional Outlook
In terms of region, the global AI in space exploration market is segmented into Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. North America is expected to dominate the market during the projected period, due to the wide presence aerospace industry that focuses on technological advancements. The industry's capabilities in designing and manufacturing space technologies heavily integrate AI algorithms in space exploration. Moreover, the region's supportive regulatory investments in space exploration contribute to boosting the market.
The market in Asia Pacific is anticipated to expand at a rapid pace in the coming years, due to the rapidly growing tech industry to support AI research and development. The region's technology companies and research institutions are focusing on advancements in AI, making them well-equipped to tackle space exploration challenges. Moreover, the growing international collaborations with space agencies and companies of other regions further propel the market.
Segments
The global AI in space exploration market has been segmented on the basis of
Type
- Rovers
- Robotic arms
- Space probes
- Others
Application
- Robotics
- Remote sensing and monitoring
- Data Analytics
- Asteroid mining
- Manned Vehicle and Reusable Launch
- Communications
- Remote missions
End-user
- Government
- Commercial
Region
- Asia Pacific
- North America
- Latin America
- Europe
- Middle East & Africa
Key Players
- Northrop Grumman
- DARPA
- NEURALA, INC
- Descartes Labs, Inc
- Iris Automation Inc.
- PrecisionHawk, Inc.
- Pilot AI Labs, Inc
- TTTech Computertechnik AG
- MRX Global Holding Corporation
Competitive Landscape
Key players competing in the global AI in space exploration market are Northrop Grumman; DARPA; NEURALA, INC; Descartes Labs, Inc; Iris Automation Inc.; PrecisionHawk, Inc.; Pilot AI Labs, Inc; TTTech Computertechnik AG; and MRX Global Holding Corporation.
These companies are thrusting their market share by adopting various strategies such as partnerships, mergers, acquisitions, and implementing advanced AI technologies in the manufacturing process.
- On June 6, 2023, TTTech Computertechnik AG, a global developer of advanced computing and connectivity solutions, announced its key partnership in the SENAV project to integrate hardware systems. SENAV known as Smart Space Exploration Navigation, is a space science and exploration technology initiative that receives funding from Horizon Europe. Their primary objective is to enhance the efficiency and safety of landers, drones, and robot control systems for AI-driven autonomous space exploration.
Table Of Content
1. Executive Summary2. Assumptions and Acronyms Used
3. Research Methodology
4. Artificial Intelligence in Space Exploration Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Artificial Intelligence in Space Exploration Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Artificial Intelligence in Space Exploration Market - Supply Chain
4.5. Global Artificial Intelligence in Space Exploration Market Forecast
4.5.1. Artificial Intelligence in Space Exploration Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Artificial Intelligence in Space Exploration Market Size (000’ Units) and Y-o-Y Growth
4.5.3. Artificial Intelligence in Space Exploration Market Absolute $ Opportunity
5. Global Artificial Intelligence in Space Exploration Market Analysis and Forecast by Types
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Types
5.2.2. Y-o-Y Growth Projections by Types
5.3. Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Types
5.3.1. Rovers
5.3.2. Robotic arms
5.3.3. Space probes
5.3.4. Others
5.4. Absolute $ Opportunity Assessment by Types
5.5. Market Attractiveness/Growth Potential Analysis by Types
6. Global Artificial Intelligence in Space Exploration Market Analysis and Forecast by Applications
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Applications
6.2.2. Y-o-Y Growth Projections by Applications
6.3. Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Applications
6.3.1. Robotics
6.3.2. Remote sensing and monitoring
6.3.3. Data Analytics
6.3.4. Asteroid mining
6.3.5. Manned Vehicle and Reusable Launch
6.3.6. Communications
6.3.7. Remote missions
6.4. Absolute $ Opportunity Assessment by Applications
6.5. Market Attractiveness/Growth Potential Analysis by Applications
7. Global Artificial Intelligence in Space Exploration Market Analysis and Forecast by End Users
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by End Users
7.2.2. Y-o-Y Growth Projections by End Users
7.3. Artificial Intelligence in Space Exploration Market Size and Volume Forecast by End Users
7.3.1. Government
7.3.2. Commercial
7.4. Absolute $ Opportunity Assessment by End Users
7.5. Market Attractiveness/Growth Potential Analysis by End Users
8. Global Artificial Intelligence in Space Exploration Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Artificial Intelligence in Space Exploration Demand Share Forecast, 2019-2026
9. North America Artificial Intelligence in Space Exploration Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Types
9.4.1. Rovers
9.4.2. Robotic arms
9.4.3. Space probes
9.4.4. Others
9.5. Basis Point Share (BPS) Analysis by Types
9.6. Y-o-Y Growth Projections by Types
9.7. North America Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Applications
9.7.1. Robotics
9.7.2. Remote sensing and monitoring
9.7.3. Data Analytics
9.7.4. Asteroid mining
9.7.5. Manned Vehicle and Reusable Launch
9.7.6. Communications
9.7.7. Remote missions
9.8. Basis Point Share (BPS) Analysis by Applications
9.9. Y-o-Y Growth Projections by Applications
9.10. North America Artificial Intelligence in Space Exploration Market Size and Volume Forecast by End Users
9.10.1. Government
9.10.2. Commercial
9.11. Basis Point Share (BPS) Analysis by End Users
9.12. Y-o-Y Growth Projections by End Users
9.13. Market Attractiveness/Growth Potential Analysis
9.13.1. By Country
9.13.2. By Product Type
9.13.3. By Application
9.14. North America Artificial Intelligence in Space Exploration Demand Share Forecast, 2019-2026
10. Latin America Artificial Intelligence in Space Exploration Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Types
10.4.1. Rovers
10.4.2. Robotic arms
10.4.3. Space probes
10.4.4. Others
10.5. Basis Point Share (BPS) Analysis by Types
10.6. Y-o-Y Growth Projections by Types
10.7. Latin America Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Applications
10.7.1. Robotics
10.7.2. Remote sensing and monitoring
10.7.3. Data Analytics
10.7.4. Asteroid mining
10.7.5. Manned Vehicle and Reusable Launch
10.7.6. Communications
10.7.7. Remote missions
10.8. Basis Point Share (BPS) Analysis by Applications
10.9. Y-o-Y Growth Projections by Applications
10.10. Latin America Artificial Intelligence in Space Exploration Market Size and Volume Forecast by End Users
10.10.1. Government
10.10.2. Commercial
10.11. Basis Point Share (BPS) Analysis by End Users
10.12. Y-o-Y Growth Projections by End Users
10.13. Market Attractiveness/Growth Potential Analysis
10.13.1. By Country
10.13.2. By Product Type
10.13.3. By Application
10.14. Latin America Artificial Intelligence in Space Exploration Demand Share Forecast, 2019-2026
11. Europe Artificial Intelligence in Space Exploration Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Types
11.4.1. Rovers
11.4.2. Robotic arms
11.4.3. Space probes
11.4.4. Others
11.5. Basis Point Share (BPS) Analysis by Types
11.6. Y-o-Y Growth Projections by Types
11.7. Europe Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Applications
11.7.1. Robotics
11.7.2. Remote sensing and monitoring
11.7.3. Data Analytics
11.7.4. Asteroid mining
11.7.5. Manned Vehicle and Reusable Launch
11.7.6. Communications
11.7.7. Remote missions
11.8. Basis Point Share (BPS) Analysis by Applications
11.9. Y-o-Y Growth Projections by Applications
11.10. Europe Artificial Intelligence in Space Exploration Market Size and Volume Forecast by End Users
11.10.1. Government
11.10.2. Commercial
11.11. Basis Point Share (BPS) Analysis by End Users
11.12. Y-o-Y Growth Projections by End Users
11.13. Market Attractiveness/Growth Potential Analysis
11.13.1. By Country
11.13.2. By Product Type
11.13.3. By Application
11.14. Europe Artificial Intelligence in Space Exploration Demand Share Forecast, 2019-2026
12. Asia Pacific Artificial Intelligence in Space Exploration Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Types
12.4.1. Rovers
12.4.2. Robotic arms
12.4.3. Space probes
12.4.4. Others
12.5. Basis Point Share (BPS) Analysis by Types
12.6. Y-o-Y Growth Projections by Types
12.7. Asia Pacific Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Applications
12.7.1. Robotics
12.7.2. Remote sensing and monitoring
12.7.3. Data Analytics
12.7.4. Asteroid mining
12.7.5. Manned Vehicle and Reusable Launch
12.7.6. Communications
12.7.7. Remote missions
12.8. Basis Point Share (BPS) Analysis by Applications
12.9. Y-o-Y Growth Projections by Applications
12.10. Asia Pacific Artificial Intelligence in Space Exploration Market Size and Volume Forecast by End Users
12.10.1. Government
12.10.2. Commercial
12.11. Basis Point Share (BPS) Analysis by End Users
12.12. Y-o-Y Growth Projections by End Users
12.13. Market Attractiveness/Growth Potential Analysis
12.13.1. By Country
12.13.2. By Product Type
12.13.3. By Application
12.14. Asia Pacific Artificial Intelligence in Space Exploration Demand Share Forecast, 2019-2026
13. Middle East & Africa Artificial Intelligence in Space Exploration Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Middle East & Africa Average Pricing Analysis
13.2. Middle East & Africa Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Types
13.4.1. Rovers
13.4.2. Robotic arms
13.4.3. Space probes
13.4.4. Others
13.5. Basis Point Share (BPS) Analysis by Types
13.6. Y-o-Y Growth Projections by Types
13.7. Middle East & Africa Artificial Intelligence in Space Exploration Market Size and Volume Forecast by Applications
13.7.1. Robotics
13.7.2. Remote sensing and monitoring
13.7.3. Data Analytics
13.7.4. Asteroid mining
13.7.5. Manned Vehicle and Reusable Launch
13.7.6. Communications
13.7.7. Remote missions
13.8. Basis Point Share (BPS) Analysis by Applications
13.9. Y-o-Y Growth Projections by Applications
13.10. Middle East & Africa Artificial Intelligence in Space Exploration Market Size and Volume Forecast by End Users
13.10.1. Government
13.10.2. Commercial
13.11. Basis Point Share (BPS) Analysis by End Users
13.12. Y-o-Y Growth Projections by End Users
13.13. Market Attractiveness/Growth Potential Analysis
13.13.1. By Country
13.13.2. By Product Type
13.13.3. By Application
13.14. Middle East & Africa Artificial Intelligence in Space Exploration Demand Share Forecast, 2019-2026
14. Competition Landscape
14.1. Global Artificial Intelligence in Space Exploration Market: Market Share Analysis
14.2. Artificial Intelligence in Space Exploration Distributors and Customers
14.3. Artificial Intelligence in Space Exploration Market: Competitive Dashboard
14.4. Company Profiles (Details: Overview, Financials, Developments, Strategy)
14.4.1. Northrop Grumman
14.4.2. DARPA
14.4.3. NEURALA, INC
14.4.4. Descartes Labs, Inc
14.4.5. Iris Automation Inc.
14.4.6. PrecisionHawk, Inc.
14.4.7. Pilot AI Labs, Inc
14.4.8. TTTech Computertechnik AG
14.4.9. MRX Global Holding Corporation
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