Artificial Intelligence in Military Market by Offering (Software, Hardware, Services), Technology (Learning & Intelligence, Advanced Computing, AI Systems), Application (Information Processing, Cyber Security), Platform, Region - Global Forecast to 2025
The Artificial Intelligence in Military market is projected to grow from USD 5.42 billion in 2016 to USD 8.70 billion by 2022, at a CAGR of 14.75 % during the forecast period from 2017 to 2022. This report covers the forecast of the Artificial Intelligence in Military market and its dynamics over the next five years, while also recognizing the application gaps and recent developments in the Artificial Intelligence in Military market, along with the identification of high potential countries. Advanced analytics, Big Data analytics, Artificial Neural Network are the major factor that is expected to drive the Artificial Intelligence in Military market in the coming years.
Technological advances in the field of AI have resulted in the development of advanced AI software and related software development kits.
Based on offering, the military artificial intelligence market has been segmented into hardware, software, and services. Based on offering, the military artificial intelligence market has been segmented into hardware, software, and services. The growth of the software segment can be attributed to the significance of AI software in strengthening the IT framework to prevent incidents of security breach. As data privacy policies and regulatory compliances have become strict, the demand for cybersecurity solutions using AI is expected to increase in the near future. The increasing adoption of connected devices and rising BYOD trend in organizations have contributed to the increasing use of cybersecurity solutions to mitigate potential risks.
Increasing demand for combat, transport, close air support, and reconnaissance and evacuation is projected to grow at the high growth for airborne segment
By platform, the Artificial Intelligence in Military market has been segmented into Land, Airborne, Space and Naval. Airborne is project to grow at a highest rate in the market during the forecast period. Further, Airborne is segmented into fighter aircraft & helicopter, transport & cargo aircraft, UAVs, and others. Airborne platforms have evolved as multi-mission machines capable of conducting a variety of missions. These platforms can be used in command & control, air defense, bomber, air dominance, close air support, reconnaissance, and other roles. The integration of AI with airborne platforms enhances Intelligence, Surveillance, and Reconnaissance (ISR) capabilities and helps air forces to exploit and analyze data they collect. Airborne platforms have evolved as multi-mission machines capable of conducting a variety of missions. These platforms can be used in command & control, air defense, bomber, air dominance, close air support, reconnaissance, and other roles. The integration of AI with airborne platforms enhances Intelligence, Surveillance, and Reconnaissance (ISR) capabilities and helps air forces to exploit and analyze data they collect.
Rising in culling and aggregation of information is estimated to lead the demand for information process segment
By application, the Artificial Intelligence in Military market has been segmented into Information Processing, Warfare Platform, Warfare Platform, Warfare Platform, Simulation & Training, Simulation & Training, Logistics & Transportation Target Recognition, Target Recognition, and others. Information process is project to lead the Artificial Intelligence in military market during the forecast period. AI is used for the processing of a huge cache of data that provides valuable information. It helps in the culling and aggregation of information, which assist military personnel to recognize patterns and derive correlations in data sets. AI acquires and sums supersets of information from various sources. The processed information is used for further investigation with machine learning or deep learning tools.
Market Dynamics: Artificial Intelligence in Military market
Drivers: Rising demand for information processing leading to the growth of big data analytics
Big Data and AI are becoming a crucial part of military organizations, owing to the exponential availability of data from sources, such as C4ISR. Militaries worldwide have increased their spending on information processing and analytics. AI-integrated systems assist in the processing of data and help in the identification of patterns in data sets to make timely predictions. AI can only be as smart as the data ingested, which is one reason why militaries are spending on information processing and analytics. The convergence of AI and Big Data has transformed the existing methods of intelligence exploitation and data analytics. System integrators such as Northrop Grumman, Raytheon, Deloitte, Leidos, and Booz Allen Hamilton have received contracts from the US Department of Defense (DoD) for data architecture & modeling. Companies such as Northrop Grumman, Raytheon, and Leidos are key players involved in the development of Big Data technologies. These companies are well-positioned to drive the Third Offset Strategy by integrating Big Data technologies with decision-making operating concepts. Thus, the growth of Big Data analytics is a key factor projected to drive the integration of AI with warfare systems.
Opportunities: Increasing adoption of AI to improve planning, logistics, and transportation
AI is helping militaries function efficiently and consistently across the full spectrum of joint capability areas. The adoption of AI in the military logistics & transportation sector has increased significantly, as AI helps in the effective management of the defense supply chain. AI-enabled real-time dashboards can reveal the location of tanks and munitions, thereby enhancing situational awareness. AI systems assist in the handling of day-to-day logistics and training of military personnel to perform challenging and high-value tasks. These systems use analytics and powerful calculation tools to determine the best possible transportation route, thereby reducing transportation costs.
The implementation of AI systems with machine-learning capabilities helps military forces align soldier talent to mission requirements and optimize team composition for specific missions, based on the expertise and personality as well as past unit performance of soldiers
Challenges: Unreliability of AI algorithms
AI is implemented through machine learning using a computer to run specific software that can be trained. Machine learning algorithms can help systems process data to identify certain features from the data set. However, the internal workings of these algorithms remain unclear and inaccessible, and the answers provided by them are not contextualized. Since one of the important goals of current research is to improve AI-to-human communication, the possibility that an AI system can create its own unique language that humans are unable to comprehend could be a setback. This is restricting the use of AI in fully autonomous warfare platforms.
Restraints: Absence of standards and protocols for the use of AI in military application
The development, management, and successful implementation of AI systems require certain protocols. Presently, as few countries are utilizing AI in the military arena, there are no standards and protocols for the use of AI for military applications.
As the use of AI systems for defense is still in the development phase, companies are facing issues related to information access, experimentation with military platforms, and lack of regulations governing the development and testing of AI systems. In addition, lack of training procedures and a shortage of skilled manpower are other issues faced by companies involved in the development of AI solutions for the military sector. Thus, the absence of standards and protocols for the use of AI in military applications is acting as a key restraint to the growth of the military artificial intelligence market.
“North America is the largest market for Artificial Intelligence in Military in 2017”
North America is expected to be a major contributor to the growth of the military artificial intelligence market during the forecast period. The US is a key country considered for market analysis in the North American region. The north America in estimated to lead the military artificial intelligence market size. This growth can be attributed to the need for automated warfare systems, the involvement of the US Army in asymmetric warfare, and rise in military modernization programs, which enabled major defense manufacturers in this country to develop technologically advanced Artificial Intelligence (AI) systems.
Prominent companies operating in the military artificial intelligence market in the US include Lockheed Martin, Raytheon, Northrop Grumman, and General Dynamics. These companies have signed various contracts with the US government. For instance, in 2014, Lockheed Martin received a contract worth USD 13.4 million from the US Defense Advanced Research Projects Agency (DARPA) for counter-adaptive- Electronic Warfare (EW) artificial intelligence
Scope of the report
|
Report Metric |
Details |
|
Market size available for years |
2015–2022 |
|
Base year considered |
2016 |
|
Forecast period |
2017–2025 |
|
Forecast units |
Value (USD) |
|
Segments covered |
Platform, Application, Offering and technology |
|
Geographies covered |
North America, Asia Pacific, Europe, AND Middle East |
|
Companies covered |
Lockheed Martin (US), Raytheon (US), IBM (US), BAE Systems (UK), Thales Group (France), NVIDIA (US), Leidos (US), SAIC (US), Northrop Grumman (US), SparkCognition (US), Harris Corporation (US), General Dynamics (US), and Charles River Analytics (US). |
Target Audience for this Report
- AI Technology Providers
- Universities and Research Organizations
- System Integrators
- AI Solution Providers
- AI Platform Providers
- Cloud Service Providers
- AI System Providers
- Investors and Venture Capitalists
This research report categorizes the Artificial Intelligence in Military market based on Platform, Application, offering and technology, and region.
Based on platform, the Artificial Intelligence in Military market has been segmented as follows:
- Land
- Military Fighting Vehicles
- Unmanned Ground Vehicles
- Air Defense Systems
- Command & Control Systems
- Others
- Naval
- Naval Ships
- Submarines
- Unmanned Maritime Vehicles
- Others
- Airborne
- Fighter Aircraft & Helicopter
- Transport & Cargo Aircraft
- Unmanned Aerial Vehicles
- Others
- Space
- Space Launch Vehicles
- Satellites
- Others
Based on Application, the Artificial Intelligence in Military market has been segmented as follows:
- Warfare Platform
- Cyber Security
- Logistics & Transportation
- Target Recognition
- Battlefield Healthcare
- Simulation & Training
- Planning & Allocation
- Threat Monitoring & Situational Awareness
- Information Processing
- Others
Based on Offering, the Artificial Intelligence in Military market has been segmented as follows:
- Software
- AI Solutions
- AI Platforms
- Hardware
- Processor
- Memory
- Network
- Services
- Deployment & Integration
- Upgrade & Maintenance
- Software Support
- Others
Based on Technology, the Artificial Intelligence in Military market has been segmented as follows:
- Learning & Intelligence
- Modeling & Simulation
- Data Mining
- Natural Language Processing
- Deep Learning
- Machine Learning
- Advanced Computing
- Quantum Computing
- Neuromorphic Engineering
- Supercomputing
- AI Systems
- Computer Vision
- Virtual Reality
- Virtual Agents
Based on region, the Artificial Intelligence in Military market has been segmented as follows:
- North America
- Europe
- Asia Pacific
- Middle East
Key Players
Lockheed Martin (US), Raytheon (US), IBM (US), BAE Systems (UK), Thales Group (France), NVIDIA (US), Leidos (US), SAIC (US), Northrop Grumman (US), SparkCognition (US), Harris Corporation (US), General Dynamics (US), and Charles River Analytics (US).are expected to lead the Artificial Intelligence in Military market during the forecast period.
Lockheed Martin one of the leading players in Artificial Intelligence in military market. The company develops and applies artificial intelligence in knowledge-based systems, distributed and real-time systems, autonomous/collaborative systems, and neural networks. The company has developed software algorithms and techniques that enable Electronic Warfare (EW) systems of the US Army to automatically intercept new radio frequency threats. Presently, Lockheed Martin is collaborating with Raytheon to test software algorithms in a tactical EW system under realistic conditions in the field. Lockheed Martin has also been working on the DARPA BLADE program, since its inception in 2010. Lockheed Martin offers unmanned and autonomous systems for surveillance and defense purposes. The company is involved in integrating AI into these systems to further improve their performance and reduce human intervention. In May 2016, Lockheed Martin collaborated with the Massachusetts Institute of Technology (MIT) to propel R&D activities in the field of autonomy and robotics. This collaboration was led by the company’s Department of Aeronautics and Astronautics and MIT’s Computer Science and Artificial Intelligence Laboratory. Such development strategies enabled the company to strengthen its foothold in the military artificial intelligence market.
Recent Developments
- In November 2017, The Defense Advanced Research Projects Agency (DARPA) awarded a contract worth USD 12.8 million to BAE Systems to develop an innovative space evaluation and analysis testbed to support the development, integration, evaluation, and analysis of advanced space enterprise Command and Control (C2) tools and capability technologies.
- In October 2017, NVIDIA launched the NVIDIA GPU Cloud (NGC) container registry for AI developers worldwide. NGC helps developers gain access to a comprehensive, easy-to-use, and fully optimized deep learning software stack.
- In December 2017, Lockheed Martin entered into an agreement with NEC Corporation (Japan) to use System Invariant Analysis Technology (SIAT), an artificial intelligence software developed by NEC, to analyze data collected by sensors in space.
- In October 2017 Thales Group established a new Center of Research and Technology in Artificial Intelligence eXpertise (cortAIx) in collaboration with the Montréal Institute for Learning Algorithms (MILA), Institute of Data Valorization, and the Vector Institute of Toronto. This unit will be located in Montreal, Canada, and will become one of the world’s leading Artificial Intelligence (AI) ecosystems.
Critical questions the report answers:
- Where will all these developments take the industry in the long term?
- What are the upcoming trends for the Artificial Intelligence in Military market?
- Which segment provides the most opportunity for growth?
- Who are the leading vendors operating in this market?
- What are the opportunities for new market entrants?
- What are the disruptive technology in the market?
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
Table of Contents
1 Introduction (Page No. - 17)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Study Scope
1.3.1 Markets Covered.
1.3.2 Years Considered for the Study
1.4 Currency
1.5 Limitations
1.6 Market Stakeholders
2 Research Methodology (Page No. - 20)
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Key Data From Secondary Sources
2.1.2 Primary Data
2.1.2.1 Key Data From Primary Sources
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Market Breakdown & Data Triangulation
3 Executive Summary (Page No. - 29)
4 Premium Insights (Page No. - 33)
4.1 Attractive Opportunities in the Military Artificial Intelligence Market
4.2 Military Artificial Intelligence Market for Land Platform, By Type
4.3 Military Artificial Intelligence Market for Airborne Platform, By Type
4.4 Military Artificial Intelligence Market for Naval Platform, By Type
4.5 Military Artificial Intelligence Software Market, By Type
4.6 Military Artificial Intelligence Market for Learning & Intelligence Technology, By Type
4.7 Military Artificial Intelligence Market, By Country and Platform
4.8 Military Artificial Intelligence Market, By Country
5 Market Overview (Page No. - 39)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Rising Demand for Information Processing Leading to the Growth of Big Data Analytics
5.2.1.2 Improving Computing Power and Increasing Development of Chipsets Supporting AI
5.2.1.3 Increasing Adoption of Cloud Services By Militaries
5.2.2 Restraints
5.2.2.1 Absence of Standards and Protocols for the use of AI in Military Applications
5.2.2.2 Protectionist Policies Leading to Limited Access to Military Platforms
5.2.3 Opportunities
5.2.3.1 Improving Operational Efficiency of Autonomous Systems
5.2.3.2 Increasing Adoption of AI to Improve Planning, Logistics, and Transportation
5.2.4 Challenges
5.2.4.1 Concerns Related to the Sensitive Nature of Military Data
5.2.4.2 Unreliability of AI Algorithms
5.2.4.3 Unavailability of Structured Data
6 Industry Trends (Page No. - 44)
6.1 Introduction
6.2 Technological Trends
6.2.1 Advanced Analytics
6.2.2 Big Data Analytics
6.2.3 Artificial Neural Network
6.3 Innovation & Patent Registrations
7 Military Artificial Intelligence Market, By Application (Page No. - 47)
7.1 Introduction
7.2 Warfare Platform
7.2.1 The Incorporation of AI Helps in the Development of Efficient Warfare Systems That are Less Dependent on Human Input
7.3 Cyber Security
7.3.1 Increasing Incidences of Cyber-Attacks May Lead to Loss of Classified Military Information and Damage Caused to Military Systems
7.4 Logistics & Transportation
7.4.1 The Integration of AI With the Military Transportation Fleet Leads to Low Transportation Cost, Reduced Operational Effort,
7.5 Target Recognition
7.5.1 AI Techniques are Developed to Enhance the Accuracy of Target Recognition in Complex Combat Environments
7.6 Battlefield Healthcare
7.6.1 AI Systems are Used in Several Applications, Such as Mining Medical Records of Soldiers and Assisting Machines in Diagnosis.
7.7 Simulation & Training
7.7.1 Simulation & Training to Develop Robust Methodologies for Constructing Computerized Models
7.8 Threat Monitoring & Situational Awareness
7.8.1 UAVS With AI Capabilities Ensure Effective Patrolling of Border Areas By Identifying Potential Threats and Transmitting Information to Response Teams
7.9 Information Processing
7.9.1 AI is Used for the Processing of a Huge CAChe of Data That Provides Valuable Information.
7.10 Others
8 Military Artificial Intelligence Market, By Platform (Page No. - 58)
8.1 Introduction
8.2 Land
8.2.1 Military Fighting Vehicles (Mfvs)
8.2.1.1 AI Technology Into Mfvs Reduces Maintenance Cost and Provides Assistance in the Calculation, Planning
8.2.2 Unmanned Ground Vehicles (UGVS)
8.2.2.1 AI Technology Into Unmanned Ground Vehicles (UGVS) Enables UGVS to Perceive Obstacles and Threats, and Manipulate Objects With Robotic Arms or Other Appendages.
8.2.3 Air Defense Systems
8.2.3.1 The Integration of AI Technology With Air Defense Systems Helps in the Prediction of Incoming Threats.
8.2.4 Command & Control Systems
8.2.4.1 AI Provides Computer-Based Support in Command & Control Decision-Making
8.2.5 Others
8.3 Naval
8.3.1 Naval Ships
8.3.1.1 Naval Ships are Used for Defensive and Offensive Warfare Operations
8.3.2 Submarines
8.3.2.1 The Integration of AI With Submarines Assists in the Effective Execution of Combat Operations.
8.3.3 Unmanned Maritime Vehicles (UMVS)
8.3.3.1 AI Harnesses Inter-Vehicle Communication Language and Associated Logic to Enable Advanced Cognitive Abilities
8.3.4 Others
8.4 Airborne
8.4.1 Fighter Aircraft & Helicopter
8.4.1.1 Al Analyze a Large Amount of Data to Obtain Valuable Information for Fighter Aircraft & Helicopter
8.4.2 Transport & Cargo Aircraft
8.4.2.1 Al Analyzes Transport Operations and Assists With Cargo Handling as Well as Automation of a Majority of Flying Operations.
8.4.3 Unmanned Aerial Vehicles (UAVS)
8.4.3.1 AI Technology Into Unmanned Aerial Vehicles (UAVS) and Unmanned Combat Aerial Vehicles (UCAVS) Assists in Autonomous Flying Operations, Combat Operations
8.4.4 Others
8.5 Space
8.5.1 Space Launch Vehicles
8.5.1.1 The Integration of AI Technology With Space Launch Vehicles Assists in the Automation of Tasks.
8.5.2 Satellites
8.5.2.1 AI-Driven Satellite Data Enhances Data Interpretation as Well as Analytics
8.5.3 Others
9 Military Artificial Intelligence Market, By Offering (Page No. - 67)
9.1 Introduction
9.2 Hardware
9.2.1 Processor
9.2.1.1 Technological Advancements in Hardware Devices Have Contributed to the Development of Miniaturized, Efficient, and Powerful Neuromorphic Chip-Based Systems
9.2.2 Memory
9.2.2.1 Development of High Bandwidth Parallel File Systems to Increase the Efficiency and Throughput of Memory Devices.
9.2.3 Network
9.2.3.1 Hardware Used in Network Systems Comprises Ethernet Adaptors and Interconnects
9.3 Software
9.3.1 AI Solutions
9.3.1.1 AI Solutions are Developed Using Nonprocedural Languages, Such as Locator/Identifier Separation Protocol (LISP) and Prolog
9.3.2 AI Platforms
9.3.2.1 AI Platforms Can Either be Machine Learning Platforms or Application Program Interfaces (APIS)
9.4 Services
9.4.1 Deployment & Integration
9.4.1.1 Deployment & Integration is Required for Configuring AI in Defense and Security Systems
9.4.2 Upgrade & Maintenance
9.4.2.1 Upgrade & Maintenance Services are Provided Post the Installation of AI Systems to Prevent Operational Issues
9.4.3 Software Support
9.4.3.1 AI-Based Software Support Services are Provided to Militaries at Periodic Intervals to Upgrade Software Packages, Install New Features and Programs, and Add New Algorithms
9.4.4 Others
10 Military Artificial Intelligence Market, By Technology (Page No. - 75)
10.1 Introduction
10.2 Learning & Intelligence
10.2.1 Modeling & Simulation
10.2.1.1 Modeling & Simulation Involves the use of Models, Such as Physical, Mathematical, or Otherwise Logical Representation of a System,
10.2.2 Data Mining
10.2.2.1 Data Mining is the Process of Discovering Patterns in Large Data Sets and Transforming the Data Into Logical Structures
10.2.3 Natural Language Processing
10.2.3.1 Natural Language Processing (NLP)Helps in the Programming of Computers to Process Natural Language Data
10.2.4 Deep Learning
10.2.4.1 Deep Learning Mimics Cognitive Functions Such as Learning or Problem Solving, as Opposed to Task-Specific Algorithms.
10.2.5 Machine Learning
10.2.5.1 Machine Learning is the Ability of Computers to Learn Without Being Programmed
10.3 Advanced Computing
10.3.1 Quantum Computing
10.3.1.1 Quantum Computers use Quantum Bits (Qubits), Which Can be in Superpositions of States Instead of Binary Bits
10.3.2 Neuromorphic Engineering
10.3.2.1 The US Army Requires a High-Performance, Low-Power Bio-Inspired Parallel Processor
10.3.3 Supercomputing
10.3.3.1 High-Performance Computing (HPC) Focuses on the use of Compute Resources to Address Data Analytics
10.4 AI Systems
10.4.1 Computer Vision
10.4.1.1 The US Army is Increasingly Investing in the Development of High-Resolution 3D Geospatial Information Systems
10.4.2 Virtual Reality
10.4.2.1 Military Forces Worldwide are Using Virtual Reality for Simulation, Modeling, and Training Purposes.
10.4.3 Virtual Agents
10.4.3.1 Abstract Functional Systems That Respond to a Wide Array of Questions.
11 Military Artificial Intelligence Market, By Region (Page No. - 81)
11.1 Introduction
11.2 North America
11.2.1 US
11.3 Europe
11.3.1 UK
11.3.2 France
11.3.3 Germany
11.3.4 Russia
11.4 Asia Pacific
11.4.1 China
11.4.2 India
11.4.3 Japan
11.4.4 South Korea
11.5 Middle East
11.5.1 Israel
12 Competitive Landscape (Page No. - 102)
12.1 Introduction
12.2 Top Players in the Military Artificial Intelligence Market
12.3 Competitive Situations and Trends
12.3.1 Contracts
12.3.2 New Product Launches
12.3.3 Agreements, Acquisitions, Partnerships, Expansions, and Collaborations
13 Company Profiles (Page No. - 107)
13.1 Lockheed Martin
13.1.1 Business Overview
13.1.2 Solutions Offered
13.1.3 Recent Developments
13.1.4 SWOT Analysis
13.1.5 MnM View
13.2 Raytheon Company
13.2.1 Business Overview
13.2.2 Solutions Offered
13.2.3 Recent Developments
13.2.4 SWOT Analysis
13.2.5 MnM View
13.3 Northrop Grumman
13.3.1 Business Overview
13.3.2 Solutions Offered
13.3.3 Recent Developments
13.3.4 SWOT Analysis
13.3.5 MnM View
13.4 Thales Group
13.4.1 Business Overview
13.4.2 Solutions Offered
13.4.3 Recent Developments
13.4.4 SWOT Analysis
13.4.5 MnM View
13.5 IBM
13.5.1 Business Overview
13.5.2 Products & Services Offered
13.5.3 Recent Developments
13.5.4 MnM View
13.6 BAE Systems
13.6.1 Business Overview
13.6.2 Products Offered
13.6.3 Recent Developments
13.6.4 MnM View
13.7 General Dynamics
13.7.1 Business Overview
13.7.2 Products Offered
13.7.3 MnM View
13.8 NVIDIA
13.8.1 Business Overview
13.8.2 Products Offered
13.8.3 Recent Developments
13.8.4 MnM View
13.9 Soartech
13.9.1 Business Overview
13.9.2 Products Offered
13.9.3 Recent Developments
13.9.4 MnM View
13.10 SparkCognition
13.10.1 Business Overview
13.10.2 Products Offered
13.10.3 Recent Developments
13.10.4 MnM View
13.11 Charles River Analytics
13.11.1 Business Overview
13.11.2 Products Offered
13.11.3 Recent Developments
13.11.4 MnM View
13.12 SAIC
13.12.1 Business Overview
13.12.2 Solutions Offered
13.12.3 Recent Developments
13.12.4 MnM View
13.13 Harris Corporation
13.13.1 Business Overview
13.13.2 Products Offered
13.13.3 Recent Developments
13.13.4 MnM View
13.14 Boeing
13.14.1 Business Overview
13.14.2 Product Offerings
13.14.3 Recent Developments
13.14.4 MnM View
13.15 Leidos
13.15.1 Business Overview
13.15.2 Products & Services Offered
13.15.3 Recent Developments
13.15.4 MnM View
13.16 Other Companies
13.16.1 CACi International
13.16.2 Cray
13.16.3 SAS
13.16.4 DarKTrace
13.16.5 Xilinx
13.16.6 Securonix
14 Appendix (Page No. - 146)
14.1 Discussion Guide
14.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
14.3 Introducing Rt: Real-Time Market Intelligence
14.4 Available Customization
14.5 Related Reports
14.6 Author Details
List of Tables (67 Tables)
Table 1 Innovation & Patent Registrations, 2002-2014
Table 2 Military Artificial Intelligence Market Size, By Application, 2015-2025 (USD Million)
Table 3 Warfare Platform Market Size, By Country, 2015-2025 (USD Million)
Table 4 Cyber Security Market Size, By Country, 2015-2025 (USD Million)
Table 5 Logistics & Transportation Market Size, By Country, 2015-2025 (USD Million)
Table 6 Target Recognition Market Size, By Country, 2015-2025 (USD Million)
Table 7 Battlefield Healthcare Market Size, By Country, 2015-2025 (USD Million)
Table 8 Simulation & Training Market Size, By Country, 2015-2025 (USD Million)
Table 9 Threat Monitoring & Situational Awareness Market Size, By Country, 2015-2025 (USD Million)
Table 10 Information Processing Market Size, By Country, 2015-2025 (USD Million)
Table 11 Other Applications Market Size, By Country, 2015-2025 (USD Million)
Table 12 Military Artificial Intelligence Market Size, By Platform, 2015-2025 (USD Million)
Table 13 Land Platform Segment, By Country, 2015-2025 (USD Million)
Table 14 Land Platform Segment, By Type, 2015-2025 (USD Million)
Table 15 Naval Platform Segment, By Country, 2015-2025 (USD Million)
Table 16 Naval Platform Segment, By Type, 2015-2025 (USD Million)
Table 17 Airborne Platform Segment, By Country, 2015-2025 (USD Million)
Table 18 Airborne Platform Segment, By Type, 2015-2025 (USD Million)
Table 19 Space Platform Segment, By Country, 2015-2025 (USD Million)
Table 20 Space Platform Segment, By Type, 2015-2025 (USD Million)
Table 21 Military Artificial Intelligence Market Size, By Offering, 2015-2025 (USD Million)
Table 22 Hardware Segment, By Country, 2015-2025 (USD Million)
Table 23 Hardware Segment, By Component, 2015-2025 (USD Million)
Table 24 Software Segment, By Country, 2015-2025 (USD Million)
Table 25 Software Segment, By Type, 2015-2025 (USD Million)
Table 26 Services Segment, By Country, 2015-2025 (USD Million)
Table 27 Services Segment, By Type, 2015-2025 (USD Million)
Table 28 Military Artificial Intelligence Market Size, By Technology, 2015-2025 (USD Million)
Table 29 Learning & Intelligence Technology Segment, By Type, 2015-2025 (USD Million)
Table 30 Advanced Computing Technology Segment, By Type, 2015-2025 (USD Million)
Table 31 AI Systems Technology Segment, By Type, 2015-2025 (USD Million)
Table 32 Military Artificial Intelligence Size, By Country, 2015–2025 (USD Million)
Table 33 US Military Artificial Intelligence Size, By Platform, 2015–2025 (USD Million)
Table 34 US Military Artificial Intelligence Size, By Offering, 2015–2025 (USD Million)
Table 35 US Military Artificial Intelligence Size, By Application, 2015–2025 (USD Million)
Table 36 US Military Artificial Intelligence Size, By Technology, 2015–2025 (USD Million)
Table 37 UK Military Artificial Intelligence Size, By Platform, 2015–2025 (USD Million)
Table 38 UK Military Artificial Intelligence Size, By Offering, 2015–2025 (USD Million)
Table 39 UK Military Artificial Intelligence Size, By Application, 2015–2025 (USD Million)
Table 40 France Military Artificial Intelligence Size, By Platform, 2015–2025 (USD Million)
Table 41 France Military Artificial Intelligence Size, By Offering, 2015–2025 (USD Million)
Table 42 France Military Artificial Intelligence Size, By Application, 2015–2025 (USD Million)
Table 43 Germany Military Artificial Intelligence Size, By Platform, 2015–2025 (USD Million)
Table 44 Germany Military Artificial Intelligence Size, By Offering, 2015–2025 (USD Million)
Table 45 Germany Military Artificial Intelligence Size, By Application, 2015–2025 (USD Million)
Table 46 Russia Military Artificial Intelligence Size, By Platform, 2015–2025 (USD Million)
Table 47 Russia Military Artificial Intelligence Size, By Offering, 2015–2025 (USD Million)
Table 48 Russia Military Artificial Intelligence Size, By Application, 2015–2025 (USD Million)
Table 49 China Military Artificial Intelligence Size, By Platform, 2015–2025 (USD Million)
Table 50 China Military Artificial Intelligence Size, By Offering, 2015–2025 (USD Million)
Table 51 China Military Artificial Intelligence Size, By Application, 2015–2025 (USD Million)
Table 52 India Military Artificial Intelligence Size, By Platform, 2015–2025 (USD Million)
Table 53 India Military Artificial Intelligence Size, By Offering, 2015–2025 (USD Million)
Table 54 India Military Artificial Intelligence Size, By Application, 2015–2025 (USD Million)
Table 55 Japan Military Artificial Intelligence Size, By Platform, 2015–2025 (USD Million)
Table 56 Japan Military Artificial Intelligence Size, By Offering, 2015–2025 (USD Million)
Table 57 Japan Military Artificial Intelligence Size, By Application, 2015–2025 (USD Million)
Table 58 South Korea Military Artificial Intelligence Size, By Platform, 2015–2025 (USD Million)
Table 59 South Korea Military Artificial Intelligence Size, By Offering, 2015–2025 (USD Million)
Table 60 South Korea Military Artificial Intelligence Size, By Application, 2015–2025 (USD Million)
Table 61 Israel Military Artificial Intelligence Size, By Platform, 2015–2025 (USD Million)
Table 62 Israel Military Artificial Intelligence Size, By Offering, 2015–2025 (USD Million)
Table 63 Israel Military Artificial Intelligence Size, By Application, 2015–2025 (USD Million)
Table 64 Top 15 Players in the Military Artificial Intelligence
Table 65 Contracts, January 2017–November 2017
Table 66 New Product Launches, February 2017–October 2017
Table 67 Agreements, Acquisitions, Partnerships, Expansions, and Collaborations, March 2017–December 2017
List of Figures (46 Figures)
Figure 1 Military Artificial Intelligence Segmentation
Figure 2 Military Artificial Intelligence: Research Flow
Figure 3 Military Artificial Intelligence: Research Design
Figure 4 Breakdown of Primary Interviews: By Company Type, Designation, and Region
Figure 5 Market Size Estimation Methodology: Bottom-Up Approach
Figure 6 Market Size Estimation Methodology: Top-Down Approach
Figure 7 Data Triangulation
Figure 8 Assumptions of the Research Study
Figure 9 Military Artificial Intelligence, By Platform, 2017 & 2025 (USD Billion)
Figure 10 Military Artificial Intelligence, By Application, 2017 & 2025 (USD Billion)
Figure 11 Military Artificial Intelligence, By Offering, 2017 & 2025 (USD Billion)
Figure 12 Military Artificial Intelligence, By Technology, 2017 & 2025 (USD Billion)
Figure 13 The US is Estimated to Lead the Military Artificial Intelligence Market During the Forecast Period
Figure 14 The Increasing Adoption of Cloud Services By Military Forces is Expected to Drive the Growth of the Military Artificial Intelligence Market
Figure 15 The Unmanned Ground Vehicles Subsegment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 16 The Uav Subsegment is Projected to Account for the Largest Share of the Military Artificial Intelligence Market for Airborne Platform During the Forecast Period
Figure 17 The Naval Ships Subsegment is Projected to Grow at the Highest CAGR During the Forecast Period
Figure 18 The AI Solutions Subsegment is Projected to Lead the Military Artificial Intelligence Software Market From 2017 to 2025
Figure 19 The Machine Learning Subsegment is Projected to Lead the Military Artificial Intelligence Market for Learning & Intelligence Technology From 2017 to
2025
Figure 20 The US is Estimated to Account for the Largest Share of the Military Artificial Intelligence Market in 2017
Figure 21 The Military Artificial Intelligence Market in China is Projected to Grow at the Highest CAGR From 2017 to 2025
Figure 22 Military Artificial Intelligence: Drivers, Restraints, Opportunities, and Challenges
Figure 23 Technological Trends in the Military Artificial Intelligence Market
Figure 24 Artificial Neural Network Learning Algorithms
Figure 25 The Information Processing Segment is Projected to Grow at the Highest CAGR During the Forecast Period
Figure 26 The Airborne Segment is Projected to Grow at the Highest CAGR During the Forecast Period
Figure 27 The Software Segment is Projected to Grow at the Highest CAGR During the Forecast Period
Figure 28 The AI Systems Segment is Projected to Grow at the Highest CAGR During the Forecast Period
Figure 29 Military Artificial Intelligence Share, By Country, 2017 (%)
Figure 30 Companies Adopted Contracts as a Key Growth Strategy From January 2015 to October 2017
Figure 31 Lockheed Martin: Company Snapshot
Figure 32 Lockheed Martin: SWOT Analysis
Figure 33 Raytheon Company: Company Snapshot
Figure 34 Raytheon Company: SWOT Analysis
Figure 35 Northrop Grumman: Company Snapshot
Figure 36 Northrop Grumman: SWOT Analysis
Figure 37 Thales Group: Company Snapshot
Figure 38 Thales Group: SWOT Analysis
Figure 39 IBM: Company Snapshot
Figure 40 BAE Systems: Company Snapshot
Figure 41 General Dynamics: Company Snapshot
Figure 42 NVIDIA: Company Snapshot
Figure 43 SAIC: Company Snapshot
Figure 44 Harris Corporation: Company Snapshot
Figure 45 Boeing: Company Snapshot
Figure 46 Leidos: Company Snapshot
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