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市场调查报告书
商品编码
1574149

政府人工智慧 (AI) 市场:2024 年至 2029 年预测

Artificial Intelligence (AI) in Government Market - Forecasts from 2024 to 2029

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 174 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

政府人工智慧 (AI) 市场预计在预测期内复合年增长率为 28.22%,市场总规模从 2024 年的 184.87 亿美元增至 2029 年的 640.77 亿美元。

世界各国政府对人工智慧(AI)技术越来越感兴趣。各国政府正大力投资人工智慧,投入预算和时间来试行各种人工智慧应用,并与该领域的专家讨论未来的创新。这些创新可以用来改变工作方式,从执法到营运运输计划。美国中央正在加大对人工智慧技术的使用,海量资料的累积正在推动整个政府使用人工智慧设备的重大趋势。这降低了储存和处理所有资料的成本。

云端处理解决方案的日益使用也推动了政府人工智慧市场的成长。因为云端处理将资料、认知服务和边缘运算结合在一起,为代理提供更快的回应时间。随着机器学习不断增强各种应用的技术方面,人工智慧深度研究的资金可能会增加。世界各地的政府正在与行业相关人员和学术机构合作,为本国公民开展无数人工智慧计划,例如交通管理和旧政府职能的数位化。这可能会导致预测期内政府机构人工智慧市场的积极成长。

此外,聊天机器人是政府机构中最常见的人工智慧形式。此前,我们提供了非常有针对性的应用程序,可以儘早回答基本的程序问题。但随着我变得更有效率,能够交谈和回答问题,同时提供回馈以提供更好的客户服务,它变得绝对有价值。在商业市场中,政府正在将人工智慧引入服务中,因为公民已经将其用于数位助理/机器人和其他智慧服务。

政府人工智慧市场驱动因素:

  • 越来越多地采用人工智慧来简化公共服务和改善决策,预计将扩大政府机构人工智慧的全球市场。

政府部门越来越多地在其服务中采用人工智慧技术,因为它有助于降低成本并提高效率。透过有效地自动化任务、简化流程和优化工作流程,人工智慧可以帮助降低成本并有效利用资源来促进公共服务的发展。人工智慧可以提供资料洞察和高级资料分析,以预测未来趋势并及早识别安全风险,从而做出更好的决策。例如,微软 2024 年 6 月的一份资料报告估计,GenAI 工具到 2035 年可以为英国公共部门节省170 亿英镑,但即使推迟五年实施也可以到2035 年为英国公共部门节省170 亿英镑。损失为预计将达1500亿英镑。

此外,人工智慧可以透过进行资料驱动的分析、支持基于证据的决策、绕过证据驱动的预测的先决条件以及利用人工智慧提供的适当预测来帮助政府。随着各国政府寻求扩大公共服务绩效,对人工智慧技术的需求已被高度认识,导致全球人工智慧市场快速成长。

为什么要购买这份报告?

  • 富有洞察力的分析:获得涵盖关键和新兴区域的深入市场洞察,重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业领域和其他子区隔。
  • 竞争格局:了解世界主要参与者所采取的策略策略,并了解采用正确策略渗透市场的潜力。
  • 市场驱动因素和未来趋势:探索动态因素和关键市场趋势以及它们将如何塑造未来市场开拓。
  • 可行的建议:利用洞察力做出策略决策,以在动态环境中发现新的业务流和收益。
  • 面向广大受众:对于新兴企业、研究机构、顾问、中小型企业和大型企业有用且具有成本效益。

公司使用我们的报告的目的是什么?

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手的市场状况、策略与市场占有率分析
  • 包括国家在内的细分市场和地区的收益成长和预测评估
  • 公司简介(策略、产品、财务资讯、主要动态等)

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章 政府人工智慧市场:透过提供

  • 介绍
  • 硬体
  • 软体
  • 服务

第六章 政府机构的人工智慧市场:依技术分类

  • 介绍
  • 机器学习
  • 深度学习
  • 机器视觉
  • 自然语言处理

第七章 政府机构人工智慧市场:按地区

  • 介绍
  • 北美洲
    • 透过提供
    • 依技术
    • 按国家/地区
  • 南美洲
    • 透过提供
    • 依技术
    • 按国家/地区
  • 欧洲
    • 透过提供
    • 依技术
    • 按国家/地区
  • 中东/非洲
    • 透过提供
    • 依技术
    • 按国家/地区
  • 亚太地区
    • 透过提供
    • 依技术
    • 按国家/地区

第八章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第九章 公司简介

  • Accenture
  • Microsoft Corporation
  • ALEX-Alternative Experts, LLC
  • Raytheon Intelligence & Space
  • IBM
  • SAS Institute Inc.
  • DataRobot, Inc.
  • DigitalAI
  • Deloitte Touche Tohmatsu Limited
  • C3.ai
简介目录
Product Code: KSI061613591

AI in the government market is estimated to grow at a CAGR of 28.22% during the projected period, accounting for a total market size of US$64.077 billion by 2029, up from US$18.487 billion in 2024.

Governments worldwide are becoming increasingly interested in artificial intelligence (AI) technologies. They are investing heavily in AI, dedicating budget and time to piloting various AI applications and discussing with experts in this field its future technology innovations. These innovations can be utilized to change how work is performed, from law enforcement to running transportation projects. Air Force Central in the United States is increasing its use of AI technology, leading to a significant trend in AI equipment usage across governments due to the massive accumulation of data. This cuts down on the cost of storing and processing all this data.

The increasing use of cloud computing solutions also drives AI in the government market's growth because cloud computing combines data, cognitive services, and edge computing, enabling rapid response time by deputies. As machine learning continues to enhance the technological aspects of various applications, it will increasingly fund deep research into AI. Various global governments are collaborating with industry players and academic institutions in myriad AI projects for the public, such as managing traffic and digitizing past government paperwork. This will generate positive market growth of AI in government during the forecast period.

Moreover, chatbots are the most popular form of AI in the government. They used to provide very targeted applications that could answer basic procedural questions early on in the process. However, the absolute value increased as they became more productive, as they could converse and answer questions while giving feedback for better customer service. As citizens are already using AI for a digital assistant/bot or any other intelligent service in the commercial market, governments are implementing AI in their services since citizens will more readily accept these technologies.

AI IN GOVERNMENT MARKET DRIVERS:

  • Growing adoption of AI for efficiency and improved decision-making in public services is expected to increase the global market for AI in governments.

The government sector is increasingly embracing AI technology in its services since it assists in cost-cutting and boosts efficiency. AI effectively automates tasks, simplifies processes, and optimizes workflows, reducing costs and helping to effectively utilize resources for the progress of public services. AI can deliver data insights, enabling advanced data analysis to predict future trends and capture security risks early, leading to advanced decision-making. For instance, a Microsoft data report of June 2024 estimates that utilizing the GenAI tool could save the UK public sector £17bn by 2035, yet even just a five-year delay in adoption would lead to a loss in its economy of up to £150bn.

In addition, AI is capable of assisting governments in conducting data-driven analysis to aid evidence-based policymaking, avoiding assumptions with evidence, and using proper forecasts provided by AI. As governments seek to scale up public service performance, the need for AI technologies has been recognized as significant, consequently contributing to the exponential growth of the AI market worldwide.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Market Segmentation:

AI in the Government Market is segmented and analyzed as below:

By Offering

  • Hardware
  • Software
  • Services

By Technology

  • Machine Learning
  • Deep Learning
  • Machine Vision
  • Natural Language Processing

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Italy
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • South Korea
  • India
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI IN GOVERNMENT MARKET BY OFFERING

  • 5.1. Introduction
  • 5.1. Hardware
  • 5.2. Software
  • 5.3. Services

6. AI IN GOVERNMENT MARKET BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. Machine Learning
  • 6.3. Deep Learning
  • 6.4. Machine Vision
  • 6.5. Natural Language Processing

7. AI IN GOVERNMENT MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By Offering
    • 7.2.2. By Technology
    • 7.2.3. By Country
      • 7.2.3.1. USA
      • 7.2.3.2. Canada
      • 7.2.3.3. Mexico
  • 7.3. South America
    • 7.3.1. By Offering
    • 7.3.2. By Technology
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
      • 7.3.3.2. Argentina
      • 7.3.3.3. Others
  • 7.4. Europe
    • 7.4.1. By Offering
    • 7.4.2. By Technology
    • 7.4.3. By Country
      • 7.4.3.1. United Kingdom
      • 7.4.3.2. Germany
      • 7.4.3.3. France
      • 7.4.3.4. United Kingdom
      • 7.4.3.5. Spain
      • 7.4.3.6. Italy
      • 7.4.3.7. Others
  • 7.5. Middle East and Africa
    • 7.5.1. By Offering
    • 7.5.2. By Technology
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
      • 7.5.3.2. UAE
      • 7.5.3.3. Others
  • 7.6. Asia Pacific
    • 7.6.1. By Offering
    • 7.6.2. By Technology
    • 7.6.3. By Country
      • 7.6.3.1. China
      • 7.6.3.2. Japan
      • 7.6.3.3. South Korea
      • 7.6.3.4. India
      • 7.6.3.5. Indonesia
      • 7.6.3.6. Thailand
      • 7.6.3.7. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. Accenture
  • 9.2. Microsoft Corporation
  • 9.3. ALEX - Alternative Experts, LLC
  • 9.4. Raytheon Intelligence & Space
  • 9.5. IBM
  • 9.6. SAS Institute Inc.
  • 9.7. DataRobot, Inc.
  • 9.8. DigitalAI
  • 9.9. Deloitte Touche Tohmatsu Limited
  • 9.10. C3.ai