Generative Artificial Intelligence (AI) in Defense – Thematic Intelligence

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Access and explore in-depth trends and insights in ourGenerative Artificial Intelligence (AI) in Defense’ report:

  • Explore investment opportunities for armed forces, suppliers, and institutional investors, across the emerging generative AI value chain.
  • Highlights from the range of different generative AI research and development initiatives currently being undertaken by various military organizations and defense companies.
  • Studies of emerging technological trends and their broader impact on the defense market.

How is the ‘Generative Artificial Intelligence (AI) in Defense’ report different from other reports in the market?

  • Determine potential investment companies based on trend analysis and market projections.
  • Gain an understanding of the market challenges and opportunities surrounding the Generative AI in defense theme.
  • Understand how spending on generative AI will fit into the overall market and which spending areas are being prioritized.
  • Understand the key challenges that aerospace and defense suppliers face.
  • Analysis of the various existing and emerging uses for generative AI capabilities currently under development, as well as cross-industry research initiatives which could impact the future applications of these technologies.

 We recommend this valuable source of information to anyone involved in:

  • Defense Startups, Original Equipment Manufacturers (OEMs),
  • Defense Planners and Government Bodies
  • AI Technology Leaders
  • Business Development and Market Intelligence
  • Investment Analysts and Portfolio Managers
  • Professional Services – Investment Banks, PE/VC firms
  • M&A/Investment, Management Consultants, and Consulting Firms

To get a snapshot of the generative artificial intelligence (AI) in defense thematic report, download a free report sample

Generative AI in Defense Market Thematic Overview

The AI market was valued at $81 billion in 2022. Recent progress in machine learning (ML) on the back of improved algorithms and increasing computing power have made it possible for AI to solve real-life problems. The market is expected to grow at a CAGR of more than 34% during 2022-30. Of the five advanced AI technologies receiving the most attention presently, generative AI is the fastest growing and will upend and transform businesses across sectors with lasting impact in the coming years. The impact will expand across sectors and business functions as generative AI becomes more accurate and is able to provide reliable factual advice. Use cases range from customer support chatbots and news and marketing content creation, to code writing and product design.

Generative AI is usually based on a type of neural network called a Large Language Model (LLM). LLM’s can generate many types of content.

The Generative AI in Defense thematic intelligence report provides an overview of this emerging technology and its wider impacts on commerce worldwide, while also providing insights on the immediate and future effects of Generative AI in the aerospace and defense markets.

Report Pages 81
Regions Covered Global
Value Chain ·       Hardware

·       Data Management

·       Foundation Ai

·       Advanced Ai Capabilities

·       Delivery

Use Cases ·       Customer Support

·       Operations

·       Production

·       Management

Leading Vendors ·       Alibaba

·       AWS

·       Baidu

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AI in Defense - Market Drivers

AI will enable informed decision-making at unparalleled speeds. Defense organizations must be agile and responsive by design to work effectively and outpace adversaries. Generative AI will not only increase the speed of decision-making, but also be able to rapidly develop multiple options in each scenario, giving human decision-makers greater freedom of choice.

Full AI - Value Chain Analysis

The AI value chain consists of hardware, data management, foundation AI, advanced AI capabilities, and delivery.  Generative AI (or creation) falls within the advanced AI capabilities category. Other subsegments under the advanced AI capabilities value chain are human-AI interaction, decision-making, motion, and sentience.

AI Value Chain Analysis

AI Value Chain Analysis

For more insights into the AI value chain, download a free report sample

Generative AI in Defense – Challenges

The key challenges in the generative AI in defense theme are bias, hallucinations, security, disinformation, and the ‘black box’.

Bias: Models may incorporate unintentional bias and cause harm to a particular demographic. Non-technical employees must be trained to use results and users must have enough trust in the algorithm to take actions based on the findings. Development and management of machine learning models and their results can be tedious, and expensive resources are required to monitor models in production for drift and ensure that bias does not unintentionally creep into a model over time.

Generative AI – Use Cases

Some of the use cases of generative AI are customer support, operations, production, and management.

Customer Support:  It is an AI solution for customer relationship management which offers multilingual capabilities and sentimental analysis that can increase customer satisfaction, generate insights, save time, strengthen data integrity, and automate processes.

Operations: Generative AI can assist industries in creating and testing predictive maintenance models. This involves processing data in real-time and detecting potential equipment failures before they occur. This can improve overall operational efficiency by reducing downtime and optimizing maintenance schedules.

For more insights into the generative AI use cases, download a free report sample

Leading Vendors

Some of the leading vendors making their mark within the AI theme:

  • Alibaba
  • AWS
  • Baidu

To know more about the leading vendors in the generative AI in defense theme, download a free report sample

Segments Covered in the Report

AI Value Chain Outlook

  • Hardware
  • Data Management
  • Foundation Ai
  • Advanced Ai Capabilities
  • Delivery
Inspectorio Sight
Mostly AI
Hugging Face
Stability AI
Insilico Medicine
Weights & Biases
AI21 Labs
Commerce AI
Sythesis AI
Bending Spoons
Glean AI
Aiva Technologies

Table of Contents

Executive summary

Generative AI overview

Business impact

Sector analysis – Aerospace & Defense

Vendor landscape

Polls and signals

Risks, limitations and other considerations

Appendix 1: Generative AI tech briefing

Appendix 2: Our thematic research methodology

Frequently asked questions

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