Global Generative AI in Defence 麻豆原创 2024 by Company, Regions, Type and Application, Forecast to 2030

Publication ID:

GIR032424221

Publication Date:

May 17, 2024

Pages:

101

Publisher:

GIR

Countries:

Global [1]

USD 3,480.00

Software [2]

IT Services [3]

Computing & Electronics [4]

Description:

Generative AI in defense encompasses a range of applications crucial to military operations, including synthetic training environments for realistic simulations, scenario generation for strategic planning, cybersecurity and threat simulation, intelligence analysis through data processing, autonomous systems development, countermeasures against enemy tactics, supply chain optimization, and crisis response management. By leveraging generative AI techniques, defense organizations enhance their capabilities in training, planning, cybersecurity, and crisis management, ultimately bolstering national security and defense readiness.
The global Generative AI in Defence market size was valued at US$ million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of %during review period.
This report is a detailed and comprehensive analysis for global Generative AI in Defence market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.
Key Features:
Global Generative AI in Defence market size and forecasts, in consumption value ($ Million), 2019-2030
Global Generative AI in Defence market size and forecasts by region and country, in consumption value ($ Million), 2019-2030
Global Generative AI in Defence market size and forecasts, by Type and by Application, in consumption value ($ Million), 2019-2030
Global Generative AI in Defence market shares of main players, in revenue ($ Million), 2019-2024
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Generative AI in Defence
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Generative AI in Defence market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Google, Microsoft, AWS, IBM, Meta, NVIDIA, Intel, Cisco Systems, Palantir Technologies, Siemens, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
麻豆原创 segmentation
Generative AI in Defence market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
麻豆原创 segmentation
Generative AI in Defence market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
麻豆原创 segment by Type
Hardware
Software
Solution
麻豆原创 segment by Application
Training Simulations
Cyber Defense
Intelligence Analysis
Others
麻豆原创 segment by players, this report covers
Google
Microsoft
AWS
IBM
Meta
NVIDIA
Intel
Cisco Systems
Palantir Technologies
Siemens
Alibaba
Baidu
C3 AI
麻豆原创 segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Generative AI in Defence product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Generative AI in Defence, with revenue, gross margin, and global market share of Generative AI in Defence from 2019 to 2024.
Chapter 3, the Generative AI in Defence competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Generative AI in Defence market forecast, by regions, by Type and by Application, with consumption value, from 2024 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Generative AI in Defence.
Chapter 13, to describe Generative AI in Defence research findings and conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.

Table Of Contents:

1 麻豆原创 Overview
1.1 Product Overview and Scope
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of Generative AI in Defence by Type
1.3.1 Overview: Global Generative AI in Defence 麻豆原创 Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Generative AI in Defence Consumption Value 麻豆原创 Share by Type in 2023
1.3.3 Hardware
1.3.4 Software
1.3.5 Solution
1.4 Global Generative AI in Defence 麻豆原创 by Application
1.4.1 Overview: Global Generative AI in Defence 麻豆原创 Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 Training Simulations
1.4.3 Cyber Defense
1.4.4 Intelligence Analysis
1.4.5 Others
1.5 Global Generative AI in Defence 麻豆原创 Size & Forecast
1.6 Global Generative AI in Defence 麻豆原创 Size and Forecast by Region
1.6.1 Global Generative AI in Defence 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Generative AI in Defence 麻豆原创 Size by Region, (2019-2030)
1.6.3 North America Generative AI in Defence 麻豆原创 Size and Prospect (2019-2030)
1.6.4 Europe Generative AI in Defence 麻豆原创 Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Generative AI in Defence 麻豆原创 Size and Prospect (2019-2030)
1.6.6 South America Generative AI in Defence 麻豆原创 Size and Prospect (2019-2030)
1.6.7 Middle East & Africa Generative AI in Defence 麻豆原创 Size and Prospect (2019-2030)
2 Company Profiles
2.1 Google
2.1.1 Google Details
2.1.2 Google Major Business
2.1.3 Google Generative AI in Defence Product and Solutions
2.1.4 Google Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.1.5 Google Recent Developments and Future Plans
2.2 Microsoft
2.2.1 Microsoft Details
2.2.2 Microsoft Major Business
2.2.3 Microsoft Generative AI in Defence Product and Solutions
2.2.4 Microsoft Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.2.5 Microsoft Recent Developments and Future Plans
2.3 AWS
2.3.1 AWS Details
2.3.2 AWS Major Business
2.3.3 AWS Generative AI in Defence Product and Solutions
2.3.4 AWS Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.3.5 AWS Recent Developments and Future Plans
2.4 IBM
2.4.1 IBM Details
2.4.2 IBM Major Business
2.4.3 IBM Generative AI in Defence Product and Solutions
2.4.4 IBM Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.4.5 IBM Recent Developments and Future Plans
2.5 Meta
2.5.1 Meta Details
2.5.2 Meta Major Business
2.5.3 Meta Generative AI in Defence Product and Solutions
2.5.4 Meta Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.5.5 Meta Recent Developments and Future Plans
2.6 NVIDIA
2.6.1 NVIDIA Details
2.6.2 NVIDIA Major Business
2.6.3 NVIDIA Generative AI in Defence Product and Solutions
2.6.4 NVIDIA Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.6.5 NVIDIA Recent Developments and Future Plans
2.7 Intel
2.7.1 Intel Details
2.7.2 Intel Major Business
2.7.3 Intel Generative AI in Defence Product and Solutions
2.7.4 Intel Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.7.5 Intel Recent Developments and Future Plans
2.8 Cisco Systems
2.8.1 Cisco Systems Details
2.8.2 Cisco Systems Major Business
2.8.3 Cisco Systems Generative AI in Defence Product and Solutions
2.8.4 Cisco Systems Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.8.5 Cisco Systems Recent Developments and Future Plans
2.9 Palantir Technologies
2.9.1 Palantir Technologies Details
2.9.2 Palantir Technologies Major Business
2.9.3 Palantir Technologies Generative AI in Defence Product and Solutions
2.9.4 Palantir Technologies Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.9.5 Palantir Technologies Recent Developments and Future Plans
2.10 Siemens
2.10.1 Siemens Details
2.10.2 Siemens Major Business
2.10.3 Siemens Generative AI in Defence Product and Solutions
2.10.4 Siemens Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.10.5 Siemens Recent Developments and Future Plans
2.11 Alibaba
2.11.1 Alibaba Details
2.11.2 Alibaba Major Business
2.11.3 Alibaba Generative AI in Defence Product and Solutions
2.11.4 Alibaba Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.11.5 Alibaba Recent Developments and Future Plans
2.12 Baidu
2.12.1 Baidu Details
2.12.2 Baidu Major Business
2.12.3 Baidu Generative AI in Defence Product and Solutions
2.12.4 Baidu Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.12.5 Baidu Recent Developments and Future Plans
2.13 C3 AI
2.13.1 C3 AI Details
2.13.2 C3 AI Major Business
2.13.3 C3 AI Generative AI in Defence Product and Solutions
2.13.4 C3 AI Generative AI in Defence Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.13.5 C3 AI Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Generative AI in Defence Revenue and Share by Players (2019-2024)
3.2 麻豆原创 Share Analysis (2023)
3.2.1 麻豆原创 Share of Generative AI in Defence by Company Revenue
3.2.2 Top 3 Generative AI in Defence Players 麻豆原创 Share in 2023
3.2.3 Top 6 Generative AI in Defence Players 麻豆原创 Share in 2023
3.3 Generative AI in Defence 麻豆原创: Overall Company Footprint Analysis
3.3.1 Generative AI in Defence 麻豆原创: Region Footprint
3.3.2 Generative AI in Defence 麻豆原创: Company Product Type Footprint
3.3.3 Generative AI in Defence 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global Generative AI in Defence Consumption Value and 麻豆原创 Share by Type (2019-2024)
4.2 Global Generative AI in Defence 麻豆原创 Forecast by Type (2025-2030)
5 麻豆原创 Size Segment by Application
5.1 Global Generative AI in Defence Consumption Value 麻豆原创 Share by Application (2019-2024)
5.2 Global Generative AI in Defence 麻豆原创 Forecast by Application (2025-2030)
6 North America
6.1 North America Generative AI in Defence Consumption Value by Type (2019-2030)
6.2 North America Generative AI in Defence 麻豆原创 Size by Application (2019-2030)
6.3 North America Generative AI in Defence 麻豆原创 Size by Country
6.3.1 North America Generative AI in Defence Consumption Value by Country (2019-2030)
6.3.2 United States Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
6.3.3 Canada Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
6.3.4 Mexico Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
7 Europe
7.1 Europe Generative AI in Defence Consumption Value by Type (2019-2030)
7.2 Europe Generative AI in Defence Consumption Value by Application (2019-2030)
7.3 Europe Generative AI in Defence 麻豆原创 Size by Country
7.3.1 Europe Generative AI in Defence Consumption Value by Country (2019-2030)
7.3.2 Germany Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
7.3.3 France Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
7.3.4 United Kingdom Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
7.3.5 Russia Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
7.3.6 Italy Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Generative AI in Defence Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Generative AI in Defence Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Generative AI in Defence 麻豆原创 Size by Region
8.3.1 Asia-Pacific Generative AI in Defence Consumption Value by Region (2019-2030)
8.3.2 China Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
8.3.3 Japan Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
8.3.4 South Korea Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
8.3.5 India Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
8.3.6 Southeast Asia Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
8.3.7 Australia Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
9 South America
9.1 South America Generative AI in Defence Consumption Value by Type (2019-2030)
9.2 South America Generative AI in Defence Consumption Value by Application (2019-2030)
9.3 South America Generative AI in Defence 麻豆原创 Size by Country
9.3.1 South America Generative AI in Defence Consumption Value by Country (2019-2030)
9.3.2 Brazil Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
9.3.3 Argentina Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Generative AI in Defence Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Generative AI in Defence Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Generative AI in Defence 麻豆原创 Size by Country
10.3.1 Middle East & Africa Generative AI in Defence Consumption Value by Country (2019-2030)
10.3.2 Turkey Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
10.3.4 UAE Generative AI in Defence 麻豆原创 Size and Forecast (2019-2030)
11 麻豆原创 Dynamics
11.1 Generative AI in Defence 麻豆原创 Drivers
11.2 Generative AI in Defence 麻豆原创 Restraints
11.3 Generative AI in Defence Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Generative AI in Defence Industry Chain
12.2 Generative AI in Defence Upstream Analysis
12.3 Generative AI in Defence Midstream Analysis
12.4 Generative AI in Defence Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer

Companies Mentioned:

Google
Microsoft
AWS
IBM
Meta
NVIDIA
Intel
Cisco Systems
Palantir Technologies
Siemens
Alibaba
Baidu
C3 AI

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