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市場調查報告書
商品編碼
1604508

自我調整人工智慧市場：2024-2029 年預測

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個工作天內

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簡介目錄

自我調整人工智慧市場預計在預測期內複合年成長率為 44.71%。

自我調整人工智慧是一種隨著資料和環境的變化而學習和適應，不斷提高能力的人工智慧技術。與傳統人工智慧解決方案相比，自我調整人工智慧平台具有多種優勢，包括提高平台效率並為用戶提供更個人化的體驗。該技術還提供高效的決策和解決問題的能力。自我調整人工智慧平台使用多種學習方法，包括強化學習、遷移學習和神經架構。自我調整人工智慧的關鍵應用包括適應不斷變化的路況的自動駕駛汽車、利用新資訊更新診斷的醫療系統以及受消費行為影響的有針對性的廣告宣傳。

自我調整人工智慧透過從人類和機器的過去經驗和運行時情況中學習行為和模式，確保更快更好地解決任何問題。隨著全球人工智慧技術研究和開發的不斷深入，這個人工智慧市場預計將大幅成長。史丹佛大學2023年人工智慧指數報告指出，過去幾年企業對人工智慧的投資大幅增加。 AI領域總投資從2019年的約956.3億美元增加至2021年的2,761.4億美元。 2024年AI指數報告指出，2023年，AI產業總合產生了51個機器學習模型，2022年，生成式AI的投資達252億美元。報告進一步指出，2023年人工智慧技術的私人投資總額為959.9億美元。

自我調整人工智慧市場的促進因素

  • 人工智慧需求增加

事實證明，人工智慧是一種強大的工具，可以極大地改變許多行業的業務。然而，傳統的機器學習模型難以適應快速變化的環境的動態特性，並且處理物聯網（IoT）和自動駕駛汽車產生的大量資料的能力受到限制。自我調整人工智慧是人工智慧的重要進步，因為它可以持續學習。隨著新資料的出現，該模型可以立即改變和適應。自我調整人工智慧的動態特性使企業能夠有效應對不斷變化的資料環境所帶來的挑戰。

由於各行業對人工智慧系統的需求不斷增加，功能不斷改進、性能高效，全球基於人工智慧的技術市場也不斷擴大。自我調整人工智慧結合強化學習和基於代理的建模來推動業務成長。這種獨特的組合使生產現場能夠即時響應外部變化。例如，美國採購支援中心 (USAASC) 在其出版物中推出了 DarkStax，這是一個自我調整人工智慧測試和透明度平台，考慮了軍事應用數位雙胞胎模擬的未來。

自我調整人工智慧市場的地域展望

  • 預計北美將佔據自我調整人工智慧市場的主要佔有率。

在全球自我調整人工智慧市場中，北美地區預計在此期間將經歷顯著成長。與傳統人工智慧和生成式人工智慧相比，自我調整人工智慧的應用在多個行業都出現了大幅成長，特別是在美國和加拿大等國家。 Meta 和谷歌等北美公司已經向全球自我調整人工智慧市場推出了新的創新解決方案。例如，2023 年 7 月，人力資源和財務企業雲端應用領域的領導者 Workday 宣布推出 Workday Adaptive Planning。此 EPM 解決方案提供財務、人事和業務規劃等多種功能。它還有助於簡化財務結算和業務整合，使公司更加準確、有效率和透明。

購買本報告的理由：

  • 富有洞察力的分析：獲得涵蓋關鍵和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業和其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場發展。
  • 可行的建議：利用洞察力做出策略決策，以在動態環境中發現新的業務流和收益。
  • 受眾廣泛：對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用？

產業與市場考量、商機評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開拓、競爭影響

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、客戶行為和趨勢分析
  • 競爭定位、策略和市場佔有率分析
  • 區域收益成長和預測分析，包括細分市場和國家
  • 公司概況（策略、產品、財務狀況、主要發展等）

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章自我調整人工智慧市場：按組成部分

  • 介紹
  • 平台
  • 服務

第6章自我調整人工智慧市場：按部署分類

  • 介紹
  • 雲
  • 本地

第7章自我調整人工智慧市場：按應用分類

  • 介紹
  • 機器學習
  • 自然語言處理（NLP）
  • 預測分析
  • 個人化
  • 適應性測試
  • 其他

第 8 章自我調整人工智慧市場：按行業分類

  • 介紹
  • 衛生保健
  • 金融
  • 教育
  • 製造業
  • 環境保護
  • 其他

第 9 章自我調整人工智慧市場：按地區

  • 介紹
  • 北美洲
    • 按成分
    • 按發展
    • 按用途
    • 按行業分類
    • 按國家/地區
  • 南美洲
    • 按成分
    • 按發展
    • 按用途
    • 按行業分類
    • 按國家/地區
  • 歐洲
    • 按成分
    • 按發展
    • 按用途
    • 按行業分類
    • 按國家/地區
  • 中東/非洲
    • 按成分
    • 按發展
    • 按用途
    • 按行業分類
    • 按國家/地區
  • 亞太地區
    • 按成分
    • 按發展
    • 按用途
    • 按行業分類
    • 按國家/地區

第10章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第11章 公司簡介

  • Suffescom Solutions
  • Markovate
  • Leewayhertz
  • Softura
  • ValueCoders
  • Aegis Softtech
  • Bacancy
  • NEX Softsys
  • Osiz Technologies
  • Ailoitte Technologies Pvt Ltd.
  • A3Logics
  • Blocktech Brew
  • Maticz Technologies Pvt Ltd.
簡介目錄
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.