表紙:ミリタリーインテリジェンス (MILINT) アナリティクスの世界市場:成長機会の分析
市場調査レポート
商品コード
1025085

ミリタリーインテリジェンス (MILINT) アナリティクスの世界市場:成長機会の分析

Global Military Intelligence Analytics Growth Opportunities

出版日: | 発行: Frost & Sullivan | ページ情報: 英文 106 Pages | 納期: 即日から翌営業日

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ミリタリーインテリジェンス (MILINT) アナリティクスの世界市場:成長機会の分析
出版日: 2021年08月11日
発行: Frost & Sullivan
ページ情報: 英文 106 Pages
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

当レポートでは、世界のミリタリーインテリジェンス (MILINT) アナリティクスの市場を調査し、市場の定義と概要、概念と技術、市場成長推進因子・抑制因子の分析、ConOpsへの影響、主要なプログラム、契約の例、支出動向・予測、ケーススタディ、成長機会の分析などをまとめています。

目次

戦略的必須要件

  • 成長がますます困難になる理由
  • Strategic Imperative 8
  • 上位3つの戦略的推奨事項の市場への影響
  • Growth Pipeline Engineを推進する成長機会

成長環境

  • 成長環境:5項目の重要ポイント
  • CEOの視点

成長機会の分析:MILINTアナリティクス

概要

  • MILINTにおけるAI時代:急速な変化
  • 諜報機関にとっての実質的な課題
  • インテリジェンスプロセスにおける進化
  • AI
  • 機械学習とディープラーニング
  • 市場の定義
  • MILINTアナリティクス
  • 多様なタスクを実行する深層学習アルゴリズム

予測の前提条件

戦略的範囲

MILINTアナリティクス:ConOpsへの影響

  • MILINTアナリティクスの需要に影響を与える動向
  • MILINTアナリティクス:軍事ConOpsの変化を推進
  • MILINT AIの需要に影響を及ぼす戦場動向
  • AI MILINTのジレンマ
  • 革新・進化:データレイクからデータウェアハウスへ
  • MILINTアナリティクスのアーキテクチャ

外的影響因子:ビッグデータアナリティクス市場全体

  • デジタルソリューションの実装
  • 成長要因
  • 成長抑制要因

用途の多様性

  • アーキテクチャ
  • AI構造の定義
  • 主要技術・用途
  • 多様なタスクを実行する深層学習アルゴリズム
  • AIをサポートするリソース
  • ケーススタディ:The Boko Haram Terrorist Organization (中央アフリカ)
  • ケーススタディ:ATR (自動標的認識・取得)
  • ケーススタディ:状況認識

市場概要・分析

  • 主な成長指標
  • 予測の前提条件と考察
  • 総支出の予測
  • 支出予測:地域別
  • 米国の主なプログラム
  • 契約の例
  • 主要企業

M&A

成長機会・推奨行動

  • 成長機会:ナローAIのICへの短期的焦点
  • 成長機会:AGI:中期的焦点
  • 成長機会:AI-aaS (AI-as-a-service)
  • 成長機会:インテリジェンスの優位性の競合
  • 成長機会:流通データを自動的に分類して照合するMILINT NLP
  • 成長機会:MILINT AIアルゴリズムの信頼構築のためのトレーニングデータ
  • DoD AIエコシステムでの成長のための戦略的必須要件

総論

付録

目次
Product Code: ME75-22

Visionary Perspective of AI is the Next Big Military Intelligence Strategic Advantage

Military intelligence (MILINT) AI is a growing phenomenon that generates conceptual transformation in future battlefield concepts of operations (ConOps), gathered by demand for AI-analytics-based sensors paradigm. It increases intelligence resources in defense budgets, and becomes a strategic national asset that reflects deeply international superpower relations.

With its strategic implications on armed forces around the globe, intelligence warfare will take place across a multi-domain battlespace with further integration of air, maritime, land, and cyber-based intelligence analytics domains. New APIs are also driving these developments in MILINT requirements, such as NLP, data mining, real-time analysis, and automatic target recognition (ATR) based on AI. These systems will both need to be integrated into current IT and distribution systems, as well as analytics APIs that need to manage large amounts of data for operational use and demands.

This study covers the quantitative and qualitative discussion of the key aspects of the trends in the military intelligence market, including drivers and restrains, market commercial ecosystem, and technological overview, including leading APIs and main projects.

Table of Contents

Strategic Imperatives

  • Why is it Increasingly Difficult to Grow?
  • The Strategic Imperative 8™
  • Growth Opportunities Fuel the Growth Pipeline Engine™

Growth Environment

  • Growth Environment-5 Key Takeaways
  • CEO's Perspective

Growth Opportunity Analysis-Military Intelligence Analytics

  • Market Definitions and Scope
  • Scope of Research
  • Key Questions this Study will Answer
  • Research Methodology
  • Research Methodology (continued)
  • Research Methodology Explained
  • Research Methodology

Overview

  • AI Era in MILINT-A Rapid Change
  • The Substantial Challenge for Intelligence Agencies
  • Revolution or Evolution in the Intelligence Process
  • Artificial Intelligence
  • Machine Learning and Deep Learning
  • Market Definitions
  • MILINT Analytics 2020-2035
  • Deep Learning Algorithms that Execute Diverse Tasks

Forecast Assumptions

  • Forecast Assumptions
  • Forecast Assumptions (continued)

Strategic Scope

  • Geopolitical Perspective-Superpower Rivalry Over AI Global Dominance
  • The United States
  • The United States (continued)
  • US MILINT AI Ecosystem-Innovative Environment

MILINT Analytics Impact on ConOps

  • Trends Impacting Demand of MILINT Analytics 2020-2030
  • MILINT Analytics Catalyze Changing Military ConOps
  • How Battlefield Trends Impact MILINT AI Demands
  • AI MILINT Surge Dilemmas
  • AI MILINT Surge Dilemmas (continued)
  • Revolution or Evolution-From Data Lake to Data Warehouse
  • MILINT Analytics Architecture

External Challenges-Drivers and Restraints: Total Big Data Analytics Market

  • MILINT Analytics-Implementation of Digital Solutions
  • Growth Drivers for Military Intelligence Analytics
  • Growth Driver Analysis for Military Intelligence Analytics
  • Growth Driver Analysis for Military Intelligence Analytics (continued)
  • Growth Driver Analysis for Military Intelligence Analytics (continued)
  • Growth Restraints for Military Intelligence Analytics
  • Growth Restraint Analysis for Military Intelligence Analytics
  • Growth Restraint Analysis for Military Intelligence Analytics (continued)

Application Diversity

  • MILINT Analytics Schematic Segments Architecture
  • Definitions of AI Structures
  • MILINT Analytics Key Technologies and Applications-Methods of Extracting Valuable Intelligence from Unstructured Data
  • MILINT Analytics Key Technologies and Applications-Methods of Extracting Valuable Intelligence from Unstructured Data (continued)
  • MILINT Analytics Key Technologies and Applications-Methods of Extracting Valuable Intelligence from Unstructured Data (continued)
  • MILINT Analytics Key Technologies and Applications-Methods of Extracting Valuable Intelligence from Unstructured Data (continued)
  • MILINT Analytics Key Technologies and Applications-Methods of Extracting Valuable Intelligence from Unstructured Data (continued)
  • MILINT Analytics Key Technologies and Applications-Methods of Extracting Valuable Intelligence from Unstructured Data (continued)
  • Deep Learning Algorithms that Execute Diverse Tasks
  • Diligent Resources to Support AI Applications
  • Case Study 1-Social Network Analysis: The Boko Haram Terrorist Organization (Central Africa)
  • Case Study 2-Automatic Target Recognition and Acquisition (ATR)
  • Case Study 3-Situational Awareness

Market Overview and Analysis

  • Key Growth Metrics for Military Intelligence Analytics
  • Forecast Assumptions and Discussion
  • Forecast Assumptions and Discussion (continued)
  • Total Spending Forecast 2020-2030-Military Intelligence Analytics
  • Regional Spending Forecast 2020-2030-Military Intelligence Analytics
  • Forecast Discussion
  • Current Main Programs in the US-Military Intelligence Analytics
  • Current Main Programs in the US-Military Intelligence Analytics (continued)
  • Examples of Contracts 2020-2024-Military Intelligence Analytics
  • Key Competitors-Military Intelligence Analytics
  • Key Competitors-Military Intelligence Analytics (continued)

Mergers & Acquisitions-Military Intelligence Analytics

  • Overview of M&A Trends-Military Intelligence Analytics
  • M&As and Consolidations-Military Intelligence Analytics

Growth Opportunities and Companies to Action-Military Intelligence Analytics

  • Growth Opportunity 1: Narrow AI Short-term Focus for IC
  • Growth Opportunity 1: Narrow AI Short-term Focus for IC (continued)
  • Growth Opportunity 2: AGI-Mid-term Focus for Human-like Performance
  • Growth Opportunity 2: AGI-Mid-term Focus for Human-like Performance (continued)
  • Growth Opportunity 3: AI-as-a-service (AI-aaS) Across MILINT Verticals for Harnessing Treasure Troves of Data to Improve Efficiency
  • Growth Opportunity 3: AI-as-a-service (AI-aaS) Across MILINT Verticals for Harnessing Treasure Troves of Data to Improve Efficiency (continued)
  • Growth Opportunity 4: Intelligence Supremacy Rivals for Enhancing US MILINT AI Capabilities
  • Growth Opportunity 4: Intelligence Supremacy Rivals for Enhancing US MILINT AI Capabilities (continued)
  • Growth Opportunity 5: MILINT NLP to Automatically Classify and Match Incoming Data
  • Growth Opportunity 5: MILINT NLP to Automatically Classify and Match Incoming Data (continued)
  • Growth Opportunity 6: Training Data for Building Trust in MILINT AI Algorithms
  • Growth Opportunity 6: Training Data for Building Trust in MILINT AI Algorithms (continued)
  • Strategic Imperatives to Achieve Growth Within the DoD Artificial Intelligence Ecosystem

The Last Word

  • 3 Big Predictions
  • List of Exhibits
  • Legal Disclaimer

Appendix

  • List of Abbreviations
  • List of Abbreviations (continued)