查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1604508

自我调整人工智慧市场：2024-2029 年预测

Adaptive AI Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 142 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

自我调整人工智慧市场预计在预测期内复合年增长率为 44.71%。

自我调整人工智慧是一种随着资料和环境的变化而学习和适应，不断提高能力的人工智慧技术。与传统人工智慧解决方案相比，自我调整人工智慧平台具有多种优势，包括提高平台效率并为用户提供更个人化的体验。该技术还提供高效的决策和解决问题的能力。自我调整人工智慧平台使用多种学习方法，包括强化学习、迁移学习和神经架构。自我调整人工智慧的关键应用包括适应不断变化的路况的自动驾驶汽车、利用新资讯更新诊断的医疗系统以及受消费行为影响的有针对性的广告宣传。

自我调整人工智慧透过从人类和机器的过去经验和运行时情况中学习行为和模式，确保更快更好地解决任何问题。随着全球人工智慧技术研究和开发的不断深入，这个人工智慧市场预计将大幅成长。史丹佛大学2023年人工智慧指数报告指出，过去几年企业对人工智慧的投资大幅增加。 AI领域总投资从2019年的约956.3亿美元增加至2021年的2,761.4亿美元。 2024年AI指数报告指出，2023年，AI产业总合产生了51个机器学习模型，2022年，生成式AI的投资达252亿美元。报告进一步指出，2023年人工智慧技术的私人投资总额为959.9亿美元。

自我调整人工智慧市场的驱动因素

  • 人工智慧需求增加

事实证明，人工智慧是一种强大的工具，可以极大地改变许多行业的业务。然而，传统的机器学习模型难以适应快速变化的环境的动态特性，并且处理物联网（IoT）和自动驾驶汽车产生的大量资料的能力受到限制。自我调整人工智慧是人工智慧的重要进步，因为它可以持续学习。随着新资料的出现，该模型可以立即改变和适应。自我调整人工智慧的动态特性使企业能够有效应对不断变化的资料环境所带来的挑战。

由于各行业对人工智慧系统的需求不断增加，功能不断改进、性能高效，全球基于人工智慧的技术市场也不断扩大。自我调整人工智慧结合强化学习和基于代理的建模来推动业务成长。这种独特的组合使生产现场能够即时响应外部变化。例如，美国采购支援中心 (USAASC) 在其出版物中推出了 DarkStax，这是一个自我调整人工智慧测试和透明度平台，考虑了军事应用数位双胞胎模拟的未来。

自我调整人工智慧市场的地域展望

  • 预计北美将占据自我调整人工智慧市场的主要份额。

在全球自我调整人工智慧市场中，北美地区预计在此期间将经历显着成长。与传统人工智慧和生成式人工智慧相比，自我调整人工智慧的应用在多个行业都出现了大幅成长，特别是在美国和加拿大等国家。 Meta 和谷歌等北美公司已经向全球自我调整人工智慧市场推出了新的创新解决方案。例如，2023 年 7 月，人力资源和财务企业云端应用领域的领导者 Workday 宣布推出 Workday Adaptive Planning。此 EPM 解决方案提供财务、人事和业务规划等多种功能。它还有助于简化财务结算和业务整合，使公司更加准确、有效率和透明。

购买本报告的理由：

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的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发展。
  • 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。
  • 受众广泛：对于新兴企业、研究机构、顾问、中小企业和大型企业有用且具有成本效益。

它有什么用？

产业与市场考量、商机评估、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、客户行为和趋势分析
  • 竞争定位、策略和市场占有率分析
  • 区域收益成长和预测分析，包括细分市场和国家
  • 公司概况（策略、产品、财务状况、主要发展等）

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

第五章自我调整人工智慧市场：按组成部分

  • 介绍
  • 平台
  • 服务

第六章自我调整人工智慧市场：按部署划分

  • 介绍
  • 云
  • 本地

第七章自我调整人工智慧市场：按应用分类

  • 介绍
  • 机器学习
  • 自然语言处理（NLP）
  • 预测分析
  • 个人化
  • 适应性测试
  • 其他的

第 8 章自我调整人工智慧市场：按行业分类

  • 介绍
  • 卫生保健
  • 金融
  • 教育
  • 製造业
  • 环境保护
  • 其他的

第 9 章自我调整人工智慧市场：按地区

  • 介绍
  • 北美洲
    • 按成分
    • 按发展
    • 按用途
    • 按行业分类
    • 按国家/地区
  • 南美洲
    • 按成分
    • 按发展
    • 按用途
    • 按行业分类
    • 按国家/地区
  • 欧洲
    • 按成分
    • 按发展
    • 按用途
    • 按行业分类
    • 按国家/地区
  • 中东/非洲
    • 按成分
    • 按发展
    • 按用途
    • 按行业分类
    • 按国家/地区
  • 亚太地区
    • 按成分
    • 按发展
    • 按用途
    • 按行业分类
    • 按国家/地区

第十章竞争环境及分析

  • 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

第十一章 公司简介

  • Suffescom Solutions
  • Markovate
  • Leewayhertz
  • Softura
  • ValueCoders
  • Aegis Softtech
  • Bacancy
  • NEX Softsys
  • Osiz Technologies
  • Ailoitte Technologies Pvt Ltd.
  • A3Logics
  • Blocktech Brew
  • Maticz Technologies Pvt Ltd.
简介目录
Product Code: KSI061615868

The Adaptive AI market is estimated to grow at a CAGR of 44.71% during the forecast period.

Adaptive AI is a type of artificial intelligence technology that learns, adapts, and constantly improves its capabilities as it encounters any changes in the data or environment. The adaptive AI platform offers multiple benefits over traditional AI solutions, such as enhancing the platform's efficiency and offering users a more personalized experience. This technology also offers efficient decision-making and problem-solving capabilities. Multiple learning approaches are used in the adaptive AI platform, including reinforcement learning, transfer learning, and neural architecture. Some of the key examples of adaptive AI applications include self-driving cars that adjust to varying road conditions, healthcare systems that update diagnoses with fresh information, and targeted advertising campaigns influenced by consumer behavior.

Adaptive AI ensures quicker and better results for any problem by learning the behavior and patterns from previous human and machine experience as well as from runtime situations. With the increasing research and development of global AI-based technology, this AI market is expected to increase significantly. The AI index report published by Stanford University in 2023 stated that corporate investment in AI increased significantly over the past few years. The total investment in the AI sector increased to US$276.14 billion in 2021 from about US$95.63 billion in 2019. The 2024 AI Index report stated that in 2023, the AI industry produced a total of 51 machine learning models, and the investment in generative AI reached US$25.2 billion in 2022. The report further stated that the total private investment in AI technology was recorded at US$95.99 billion in 2023.

Adaptive AI market drivers

  • Increase in demand for artificial intelligence.

Artificial intelligence has proven to be a powerful instrument that can drastically change businesses across many industries. However, traditional machine learning models have found it challenging to adapt to the dynamic nature of our rapidly changing environment, which has limited their capacity to handle the volume of data generated by the Internet of Things (IoT) and autonomous cars. Adaptive AI is a significant advancement in artificial intelligence because it can continuously learn. Its models can instantly change and adapt when new data becomes available. Thanks to adaptive AI's dynamic nature, businesses can effectively address the challenges posed by our constantly changing data landscape.

The global AI-based technology market is also expanding as a result of the rising demand for AI systems across multiple industries, with improved capability and efficient performance. Adaptive AI combines reinforcement learning with agent-based modeling to drive business growth. This unique blend enables real-time response to external changes, even in production settings. For instance, the US Army Acquisition Support Center (USAASC), in its publication, unveiled the adaptive AI testing and transparency platform, DarkStax, which is considered the future of the digital twin simulation for military applications.

Adaptive AI market geographical outlook

  • North America is forecasted to hold a major share of the Adaptive AI Market.

In the global adaptive AI market, the North American region is forecasted to witness massive growth during the time period. The application of adaptive AI witnessed a massive increase across multiple industries, compared to traditional or generative AI, especially in countries like the US and Canada. Various North American companies, like Meta and Google, launched new and innovative solutions in the global adaptive AI market. For instance, in July 2023, Workday, an American-based leader in enterprise cloud applications for human resources and finance, launched Workday Adaptive Planning. This EPM solution offers multiple capabilities, like financial, workforce, and operational planning. It can also help in streamlining the close and consolidation of tasks, which can help businesses to increase accuracy, efficiency, and transparency.

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)

Adaptive AI Market is segmented and analyzed as follows:

By Component

  • Platform
  • Services

By Deployment

  • Cloud
  • On-Premises

By Application

  • Machine Learning
  • Natural Language Processing (NLP)
  • Predictive Analysis
  • Personalization
  • Adaptive Testing
  • Others

By Industry

  • Healthcare
  • Finance
  • Education
  • Manufacturing
  • Environmental Sustainability
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • United Kingdom
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • 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. The 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. ADAPTIVE AI MARKET BY COMPONENT

  • 5.1. Introduction
  • 5.2. Platform
  • 5.3. Services

6. ADAPTIVE AI MARKET BY DEPLOYMENT

  • 6.1. Introduction
  • 6.2. Cloud
  • 6.3. On-Premises

7. ADAPTIVE AI MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Machine Learning
  • 7.3. Natural Language Processing (NLP)
  • 7.4. Predictive Analysis
  • 7.5. Personalization
  • 7.6. Adaptive Testing
  • 7.7. Others

8. ADAPTIVE AI MARKET BY INDUSTRY

  • 8.1. Introduction
  • 8.2. Healthcare
  • 8.3. Finance
  • 8.4. Education
  • 8.5. Manufacturing
  • 8.6. Environmental Sustainability
  • 8.7. Others

9. ADAPTIVE AI MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.1. North America
    • 9.1.1. By Component
    • 9.1.2. By Deployment
    • 9.1.3. By Application
    • 9.1.4. By Industry
    • 9.1.5. By Country
      • 9.1.5.1. United States
      • 9.1.5.2. Canada
      • 9.1.5.3. Others
  • 9.2. South America
    • 9.2.1. By Component
    • 9.2.2. By Deployment
    • 9.2.3. By Application
    • 9.2.4. By Industry
    • 9.2.5. By Country
      • 9.2.5.1. Brazil
      • 9.2.5.2. Argentina
      • 9.2.5.3. Others
  • 9.3. Europe
    • 9.3.1. By Component
    • 9.3.2. By Deployment
    • 9.3.3. By Application
    • 9.3.4. By Industry
    • 9.3.5. By Country
      • 9.3.5.1. Germany
      • 9.3.5.2. United Kingdom
      • 9.3.5.3. France
      • 9.3.5.4. Spain
      • 9.3.5.5. Others
  • 9.4. Middle East and Africa
    • 9.4.1. By Component
    • 9.4.2. By Deployment
    • 9.4.3. By Application
    • 9.4.4. By Industry
    • 9.4.5. By Country
      • 9.4.5.1. Saudi Arabia
      • 9.4.5.2. UAE
      • 9.4.5.3. Israel
      • 9.4.5.4. Others
  • 9.5. Asia Pacific
    • 9.5.1. By Component
    • 9.5.2. By Deployment
    • 9.5.3. By Application
    • 9.5.4. By Industry
    • 9.5.5. By Country
      • 9.5.5.1. China
      • 9.5.5.2. Japan
      • 9.5.5.3. India
      • 9.5.5.4. South Korea
      • 9.5.5.5. Indonesia
      • 9.5.5.6. Thailand
      • 9.5.5.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. Suffescom Solutions
  • 11.2. Markovate
  • 11.3. Leewayhertz
  • 11.4. Softura
  • 11.5. ValueCoders
  • 11.6. Aegis Softtech
  • 11.7. Bacancy
  • 11.8. NEX Softsys
  • 11.9. Osiz Technologies
  • 11.10. Ailoitte Technologies Pvt Ltd.
  • 11.11. A3Logics
  • 11.12. Blocktech Brew
  • 11.13. Maticz Technologies Pvt Ltd.