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Artificial Intelligence

The Worldwide Artificial Intelligence in Military Industry is Expected to Reach $11.6 Billion by 2025

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Dublin, March 26, 2021 (GLOBE NEWSWIRE) — The “Artificial Intelligence in Military Market by Offering (Software, Hardware, Services), Technology (Machine Learning, Computer vision), Application, Installation Type, Platform, Region – Global Forecast to 2025” report has been added to ResearchAndMarkets.com’s offering.

The Artificial Intelligence in military market is estimated at USD 6.3 billion in 2020 and is projected to reach USD 11.6 billion by 2025, at a CAGR of 13.1% during the forecast period.

The Artificial Intelligence in Military market includes major players such as BAE Systems Plc. (UK), Northrop Grumman Corporation (US), Raytheon Technologies Corporation (US), Lockheed Martin Corporation (US), Thales Group (US), L3Harris Technologies, Inc. (US), Rafael Advanced defense Systems (Israel), and IBM (US), among others. These players have spread their business across various countries includes North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. COVID-19 has not affected the Ai in military market growth to some extent, and this varies from country to country. Industry experts believe that the pandemic has not affected the demand for Artificial Intelligence in the military market in defense applications.

Based on platform, the space segment of the Artificial Intelligence in military market is projected to grow at the highest CAGR during the forecast period

Based on platform, the space segment of the Artificial Intelligence in military market is projected to grow at the highest CAGR during the forecast period. The space AI segment comprises CubeSat and satellites. Artificial intelligence systems for space platforms include various satellite subsystems that form the backbone of different communication systems. The integration of AI with space platforms facilitates effective communication between spacecraft and ground stations.

Software segment of the Artificial Intelligence in Military market by offering is projected to witness the highest CAGR during the forecast period

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Based on offering, the Software segment is projected to witness the highest CAGR during the forecast period. Technological advances in the field of AI have resulted in the development of advanced AI software and related software development kits. AI software incorporated in computer systems is responsible for carrying out complex operations. It synthesizes the data received from hardware systems and processes it in an AI system to generate an intelligent response. The software segment is projected to witness the highest CAGR owing to the significance of AI software in strengthening the IT framework to prevent incidents of a security breach.

The North American market is projected to contribute the largest share from 2020 to 2025 in the Artificial Intelligence in Military market

The US and Canada are key countries considered for market analysis in the North American region. This region is expected to lead the market from 2020 to 2025, owing to increased investments in AI technologies by countries in this region. This market is led by the US, which is increasingly investing in AI systems to maintain its combat superiority and overcome the risk of potential threats on computer networks. The US plans to increase its spending on AI in the military to gain a competitive edge over other countries.

The North American US is recognized as one of the key manufacturers, exporters, and users of AI systems worldwide and is known to have the strongest AI capabilities. Key manufacturers of Ai systems in the US include Lockheed Martin, Northrop Grumman, L3Harris Technologies, Inc., and Raytheon. The new defense strategy of the US indicates an increase in AI spending to include advanced capabilities in existing defense systems of the US Army to counter incoming threats.

Key Topics Covered:

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1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights
4.1 Attractive Growth Opportunities in AI in Military Market
4.2 North America AI in Military Market, by Platform
4.3 Asia-Pacific AI in Military Market, by Technology
4.4 AI in Military Market, by Application
4.5 AI in Military Market, by Region
4.6 China: AI in Military Market, by Platform

5 Market Overview
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increased Government Spending on Defense to Improve AI Capabilities
5.2.1.2 Development of Specialized AI Chips
5.2.1.3 Growing Focus on Advanced C4Isr Capabilities
5.2.1.4 Increasing Adoption of AI in Unmanned Vehicles
5.2.1.5 Increasing Threats of Cyber Attacks
5.2.2 Restraints
5.2.2.1 Concerns Over Possibility of Errors in Complex Combat Situations
5.2.2.2 Lack of Standards and Protocols for Use of AI in Military Applications
5.2.3 Opportunities
5.2.3.1 Incorporation of Quantum Computing in AI
5.2.3.2 Increasing Adoption of AI in Predictive Maintenance in Military Platforms
5.2.4 Challenges
5.2.4.1 Absence of Backward Analysis
5.2.4.2 Lack of Trained Personnel
5.2.4.3 Sensitive Nature of Military Data
5.3 Value Chain Analysis of AI in Military Market
5.4 Trends/Disruption Impacting Customer Business
5.4.1 Revenue Shift and New Revenue Pockets for AI in Military System Manufacturers
5.5 Impact of COVID-19 on AI in Military Market
5.6 Ranges and Scenarios
5.7 Porter’s Five Forces Analysis
5.8 Regulatory Landscape
5.9 Trade Analysis

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6 Industry Trends
6.1 Introduction
6.2 Key Technological Trends in AI in Military Market
6.2.1 Need of Quantum AI for Computation of Machine Learning Algorithms
6.2.2 5G Networking for Faster Data Transfer
6.2.3 Internet of Battlefield Things (Iobt)
6.2.4 Blockchain
6.2.5 Advanced Analytics
6.2.6 Big Data Analytics
6.2.7 Artificial Neural Network
6.3 Use Case Analysis: AI in Military Market
6.3.1 Deployment of a Pictorial Training Tool to Improve Battlefield First-AId Skills from Charles River Analytics
6.3.2 C3 AI Readiness: Use of AI Predictive Maintenance in Us AIr Force
6.3.3 Have Raider: Deployed to Demonstrate Manned-Unmanned Teaming
6.4 Trade Analysis
6.5 Impact of Megatrends
6.6 Innovation & Patent Registrations

7 AI in Military Market, by Offering
7.1 Introduction
7.2 Hardware
7.2.1 Processor
7.2.1.1 Development of Specialized Chips Pave Way for Wider Application of AI in Military
7.2.2 Memory
7.2.2.1 High Bandwidth Parallel File Systems Increase Efficiency and Throughput of Memory Devices
7.2.3 Network
7.2.3.1 5G Network Improves Connection Capabilities
7.3 Software
7.3.1 AI Solutions
7.3.1.1 Securonix (Us), IBM (Us), Darktrace (Uk): Major Companies Developing AI Solutions
7.3.1.1.1 Cloud
7.3.1.1.2 On-Premise
7.3.2 AI Platforms
7.3.2.1 Demand for Intelligent Applications and Learning Algorithms on the Rise
7.4 Services
7.4.1 Deployment & Integration
7.4.1.1 Used to Create and Deploy Custom Text Analytics
7.4.2 Upgrades & Maintenance
7.4.2.1 Use of Predictive Maintenance Tools Boosts Segment Growth
7.4.3 Software Support
7.4.3.1 Periodic Upgradation to Improve Capabilities Drives Software Support Segment
7.4.4 Others

8 AI in Military Market, by Application
8.1 Introduction
8.2 Warfare Platforms
8.2.1 Rise of AI in Ew Platforms Boost Segment Growth
8.3 Cybersecurity
8.3.1 Increasing Cyber-Attacks and Need for Security Drive Segment
8.4 Logistics & Transportation
8.4.1 Increasing Tactical and Strategic Military Operations Fuel Segment Growth
8.5 Surveillance & Situational Awareness
8.5.1 Efficiency in Gathering Actionable Intelligence Drives Segment
8.6 Command & Control
8.6.1 Improve Ability to Gather Data for Better Decision Making
8.7 Battlefield Healthcare
8.7.1 Segment Driven by New Capabilities That Reduce Battlefield Causalities
8.8 Simulation & Training
8.8.1 Increasing Investments in Simulation & Training Sector Drive Segment Growth
8.9 Threat Monitoring
8.9.1 Adoption of AI in UAVs to Assist in Threat Monitoring on the Rise
8.10 Information Processing
8.10.1 Processing Huge Volume of Data to Gather Valuable Insights Boosts Segment Growth
8.11 Others
8.11.1 Need to Decrease Downtime Drives Others Segment

9 AI in Military Market, by Technology
9.1 Introduction
9.2 Machine Learning
9.2.1 Deep Learning
9.2.1.1 Deep Learning Increasingly Used in Facial Recognition
9.2.2 Supervised Learning
9.2.2.1 Classification and Regression: Major Segments of Supervised Learning
9.2.3 Unsupervised Learning
9.2.3.1 Unsupervised Learning Integral to Identifying Patterns in Critical Data
9.2.4 Reinforcement Learning
9.2.4.1 Reinforcement Learning Used for Autonomous Decision Making in Military Applications
9.2.5 Generative Adversarial Learning
9.2.5.1 Surveillance and Situational Awareness Applications Widely Use Generative Adversarial Learning
9.2.6 Others
9.3 Natural Language Processing
9.3.1 High Demand for Programming of Computers to Process Natural Language Data
9.4 Context-Aware Computing
9.4.1 Used for Improvement of Rf Signals and Situational Awareness
9.5 Computer Vision
9.5.1 Investments in Development of High-Resolution 3D Geospatial Information Systems Boost Segment
9.6 Intelligent Virtual Agent
9.6.1 Demand for Virtual Identities for Recruitment, Cyber Defense, and Training
9.7 Others
9.7.1 Increase in Adoption of Speech Recognition and Emotional Recognition

10 AI in Military Market, by Platform
10.1 Introduction
10.2 AIrborne
10.3 Land
10.4 Naval
10.5 Space

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11 AI in Military Market, by Installation Type
11.1 Introduction
11.2 New Installation
11.2.1 Growing Defense Expenditure on AI-Powered Tools and Systems Boosts New Installation Segment
11.3 Upgradation
11.3.1 Demand for Enhanced Military Capabilities Drives Upgradation of Hardware Components and Software Modules

12 Regional Analysis
12.1 Introduction
12.2 AI in Military Market: Three Global Scenarios
12.3 North America
12.4 Europe
12.5 Asia-Pacific
12.6 Middle East & Africa
12.7 Latin America

13 Competitive Landscape
13.1 Introduction
13.2 Ranking Analysis of Key Market Players, 2019
13.3 Share of Key Market Players, 2019
13.4 Revenue Analysis of Top 5 Market Players, 2019
13.5 Company Evaluation Quadrant
13.5.1 Star
13.5.2 Emerging Leader
13.5.3 Pervasive
13.5.4 Participant
13.5.5 AI in Military Market Competitive Leadership Mapping (SME)
13.5.5.1 Progressive Companies
13.5.5.2 Responsive Companies
13.5.5.3 Starting Blocks
13.5.5.4 Dynamic Companies
13.6 Competitive Scenario
13.6.1 Market Evaluation Framework
13.6.2 New Product Launches and Developments
13.6.3 Contracts
13.6.4 Acquisitions/Partnerships/Joint Ventures/Agreements/Expansions

14 Company Profiles
14.1 Introduction
14.2 Key Players
14.2.1 Lockheed Martin Corporation
14.2.2 The Boeing Company
14.2.3 General Dynamics Corporation
14.2.4 Rafael Advanced Defense Systems Ltd.
14.2.5 Northrop Grumman Corporation
14.2.6 Thales Group
14.2.7 Raytheon Technologies Corporation
14.2.8 Bae Systems plc
14.2.9 International Business Machines Corp. (Ibm)
14.2.10 Charles River Analytics
14.2.11 Caci International Inc.
14.2.12 Shield AI
14.2.13 Science Applications International Corp. (Saic)
14.2.14 Saab Ab
14.2.15 Nvidia Corporation
14.2.16 Leonardo S.P.A (Leonardo)
14.2.17 Soar Technologies Inc.
14.2.18 L3Harris Technologies, Inc.
14.2.19 Rheinmetall Ag
14.2.20 Sparkcognition Inc
14.2.21 Leidos Holdings Inc. (Leidos)
14.2.22 Safran Sa
14.2.23 Honeywell International Inc.
14.2.24 Darktrace Limited
14.2.25 Sz Dji Technology

15 Appendix
15.1 Discussion Guide

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For more information about this report visit https://www.researchandmarkets.com/r/uhtw1b


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Artificial Intelligence

Optellum showcases AI for precision lung cancer treatment at ASCO 2024

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OXFORD, United Kingdom, May 30, 2024 /PRNewswire/ — Optellum, a global leader in AI-driven clinical decision support for early lung cancer diagnosis, has launched its multimodal therapy AI guidance platform for life science research. The novel AI software and scientific results, showing potential to optimize curative lung cancer treatment, will be showcased for the first time at the 2024 ASCO Annual Meeting in Chicago (31 May—4 June).

Lung cancer often shows no symptoms until it reaches an advanced stage, leaving patients with limited treatment options and less favorable outcomes. However, by continuous automated analysis of the 90 million CT scans US patients receive yearly, it may be possible to create an “early detection system”. Optellum Virtual Nodule Clinic, the first FDA-cleared decision support for early-stage lung cancer, integrates a Patient Discovery AI based on Natural Language Processing with a clinically validated Lung Cancer Prediction (LCP) score based on imaging AI/Radiomics. The combination assists clinicians in identifying at-risk patients across health systems and prioritizing them for follow-up interventions.
Early diagnosis offers patients curative treatment options. Unfortunately, some 30% to 60% of Stage I-II NSCLC patients will experience recurrence after surgery. Accurate prognosis of recurrence risk could enable thoracic oncology teams to optimize treatment early, for example, to tailor the extent of surgical resection and ensure neo-adjuvant and peri-operative treatments are offered to those at risk. To drug developers, it may enable risk-stratifying populations to increase treatment rates, expand indications to earlier stages, and predict treatment response.
Optellum will showcase their precision lung cancer care AI solutions at the American Society for Clinical Oncology (ASCO) 2024 Annual Meeting. In the ASCO scientific program (Poster Session, 3rd June, 1:30 pm), Optellum’s clinical partners will present results of AI-guided recurrence prognosis in Stage I-III NSCLC from multi-modal pre-surgical data (Abstract #8066 1) showing significantly increased sensitivity for recurrence compared to staging. The Optellum AI solutions will also be demoed at the CancerLinQ booth (#14013) and ConcertAI booth (#12045).
Christine D. Berg, M.D., the co-principal investigator of the National Lung Screening Trial (NLST) at the National Cancer Institute, which paved the way for lung cancer screening implementation, commented: “The accurate determination of prognosis drives treatment decisions in oncology. Radiomic tools combined with demographics, as shown by Optellum, can be an effective non-invasive technology to optimize decision making early in the patient’s journey, which may help to improve outcomes.”
“Our multi-modal AI platform aims to become the ‘operating system’ that guides precision lung cancer care across the patient journey, from early identification to predicting response and monitoring,” said Václav Potěšil, PhD, Founder & Chief Business Officer at Optellum. “Neo-adjuvant therapies are real game changers. Together with our medtech and biopharma partners, we leverage the power of AI to help democratize access to life-saving early diagnosis and precision treatment for every patient who can benefit.”
Learn more here.
About OptellumOptellum is a commercial-stage lung health company providing artificial intelligence decision-support software that assists physicians in early diagnosis and optimal treatment for their patients. The company was founded so that every lung disease patient is diagnosed and treated at the earliest possible stage when the probability of better health outcomes is highest. The Oxford-based medtech company has been the first to achieve FDA 510(k) clearance and reimbursability for US Medicare patients under CMS New Technology APC for the application of AI decision-support software in lung cancer diagnosis. It has since announced strategic partnerships with industry leaders, including GE Healthcare, Johnson & Johnson, and many other top biopharma and medtech companies, while Virtual Nodule Clinic has been implemented in healthcare systems across the USA and Europe. Optellum has headquarters at the Oxford Centre for Innovation in Oxford, UK, and a US office at the Texas Medical Center. For more information, visit optellum.com or follow us on LinkedIn.
Media Contact
Optellum Communications | [email protected]
1 Pre- and post-operative lung cancer recurrence prediction following curative surgery: A retrospective study using European radiomics and clinical data. Ann Valter, Tanel Kordemets, Aydan Gasimova, Noah Waterfield Price, Lutz Freitag, Anil Vachani, David Paul Carbone, Kersti Oselin, https://meetings.asco.org/abstracts-presentations/239181
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Element Biosciences to Showcase Sequencing Innovations at the European Human Genetics Conference

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Customers laud the positive impact of AVITI on advancing their scientific research
SAN DIEGO, May 30, 2024 /PRNewswire/ — Element Biosciences, Inc., developer of pioneering technologies to empower science, will showcase the rapidly growing use of its AVITI™ System sequencer across the European scientific community at the European Human Genetics Conference 2024 in Berlin, Germany, on June 1.  

During ESHG 2024, which runs from June 1-4, Element Biosciences’ Chief Technology Officer and Co-Founder Michael Previte will share the latest details on the AVITI24™, the first platform to combine state-of-the-art sequencing and multiomic cell analysis in one integrated biology tool.  The AVITI24 enables the simultaneous measurement of multiple analytes, including DNA, RNA, proteins, phosphorylated proteins, and morphology, in up to one million cells per flow cell.
“At ESHG, we’re excited to show the transformative power of AVITI and highlight how we’re advancing our mission to increase access to high-quality, affordable tools for complex biological research through AVITI24,” said Previte.
The AVITI System is expanding access to faster, more efficient and innovative sequencing for European scientific labs, with Element’s technologies now being used by researchers in most countries in Europe. With its AVITI24 open for preorders, Element also announced that existing customers are prebooking ahead of shipment, including the National Genomics Infrastructure (NGI) at SciLifeLab, a world-leading Swedish national center for large-scale research and one of the largest molecular biology research infrastructures in Europe.
“As part of the National Genomics Infrastructure, we’re committed to staying at the forefront of technology,” said Robert Månsson Welinder, Head of Strategic Relations at NGI. “Element’s AVITI24 will help us push this frontier and allow our scientific community to pursue new and exciting science.”
Leading European scientists emphasized the positive impact the AVITI has had on advancing their scientific research. Igor Fijalkowski, researcher at the Center for Medical Genetics at Ghent University in Belgium, noted the ease of adoption and flexibility of the platform saying “Over the last year or so we performed more than 100 runs of AVITI sequencing and overall, across multiple applications, the sequencing quality has been excellent. The transition was frictionless, so we are very happy with the way the sequencer has been performing.”
Several other researchers noted the cost-effectiveness, high quality, and flexibility of the AVITI platform. “Since the installation of our AVITI we have been blown away by its flexibility and quality outputs,” said Megan Hamilton, Genomics Facility Manager at the Babraham Institute in Cambridge, United Kingdom. Petri Auvinen, Research Director at the Institute of Biotechnology, University of Helsinki, Finland, said “AVITI seems to be the most efficient and most legitimate system to run a new chemistry for sequencing.”
Others called out the unique features of the AVITI not available on other platforms. “The cost-effectiveness of AVITI adds to its high sequencing quality of Q40-50, which makes it an important device in the future of cancer research,” said Romain Boidot, molecular biologist at the Georges-François Leclerc Center, France. Also in France, Charles Poncet, lab manager at INRAE, said “We chose AVITI for its combination of performance, price of the instrument and reagents, flexibility, and applications. We also had the chance to test AVITI with our wheat samples and the results were excellent, especially for an organism with such complex genetics.”
Two years after launching AVITI, the sequencer that provides the highest quality sequencing on a benchtop, Element has continued to innovate on its modular platform. It has introduced faster run times, expanded kit offerings, the Elembio Cloud software platform, and industry-leading affordability, while maintaining unprecedented accuracy.
About Element Biosciences, Inc.
Element Biosciences is a pioneering life science company democratizing access to advanced biological tools, driving impactful discoveries to benefit humanity. We are focused on developing disruptive DNA sequencing and multi-omics technology for research markets. Through innovating every fundamental element of a biological assay system, Element empowers customers with affordable, high-quality data and an improved user experience, which in turn will accelerate scientific discoveries. To learn more about Element, please visit www.elementbiosciences.com and follow us on LinkedIn, X (Twitter), and Facebook.
Media Contact:Kristi HeimElement [email protected]
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St. Pölten UAS: Networking Meeting of the Higher Education Area

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St. Pölten UAS Hosts 33rd EURASHE Annual Conference
Every year, the European Association of Institutions in Higher Education (EURASHE) brings together representatives of the higher education sector in order to discuss and design a common path in important matters for the present and future of education. This year’s meeting was held at the St. Pölten University of Applied Sciences. The focus of the event was on transnational collaborations between higher education institutions and on cooperation with the business world and society. More than 200 experts from all over Europe, Africa, Asia, and the Middle East took part.
ST. PÖLTEN, Austria, May 30, 2024 /PRNewswire/ — EURASHE, the European Association of Institutions in Higher Education, features approximately 600 universities, universities of applied sciences, university colleges, and similar institutions that conduct primarily professional higher education and applied research.

 
Important Voice in the European Higher Education Area”In order to come up with solutions to the diverse challenges of our times, it is necessary for us to integrate the knowledge and experiences of various fields and to further develop our creativity. In most cases, individual higher education institutions can generate only little impact unless they pool their forces. Therefore, international partnerships and university alliances are decisive for future-oriented development”, emphasises St. Pölten UAS CEO Hannes Raffaseder who is the current President of EURASHE. St. Pölten UAS is also the coordinator of the European University Alliance E³UDRES².
„Regarding higher education institutions it’s important that we have a diversity of voices in Europe and EURASHE is a very important voice for the universities of applied sciences. They bring in a different perspective. Typically they are very rooted in the local or regional context. They are close to the labour market and they are very innovative. So we need EURASHE to bring in their perspective and come up with new ideas on how we can make transnational cooperation work better at European level”, says Sophia Eriksson Watershoot, Director for Youth, Education and  Erasmus+ from the European Commission.
“I am happy to have our conference here in St. Pölten. The conference is different each year, and that is what makes EURASHE conferences so interesting. Here at this new campus, people get a feel of how fast changing this sector is. And we had a great diversity of people at the conference this year including guests from all around the world like North America, Asia, and the Middle East”, says John Edwards, Secretary General of EURASHE.
33rd EURASHE Annual Conferencehttps://www.eurashe.eu/events/annual-conference-2024https://www.eurashe.eu
Contact:Mark [email protected]+43 2742 313 228 ext. 269
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