全球人工智慧系統調試市場,2025-2029年
市場調查報告書
商品編碼
1915701

全球人工智慧系統調試市場,2025-2029年

Global AI System Debugging Market 2025-2029

出版日期: | 出版商: TechNavio | 英文 297 Pages | 訂單完成後即時交付

價格
簡介目錄

全球人工智慧系統調試市場預計在 2024 年至 2029 年的預測期內將達到 19.025 億美元,複合年成長率為 21.1%。

本報告對全球人工智慧系統調試市場進行了全面分析,包括市場規模和預測、趨勢、成長要素和挑戰,以及對約 25 家供應商的分析。

本報告對當前市場格局、最新趨勢和促進因素以及整體市場環境進行了最新分析,這些因素包括人工智慧系統日益複雜化、對負責任的人工智慧和監管合規性的需求不斷成長,以及人工智慧在跨產業的應用不斷擴展。

本研究採用客觀的方法,結合一手和二手訊息,包括來自主要行業相關人員的意見。報告包含對主要企業的分析、全面的市場規模數據、區域細分分析以及供應商格局。報告提供歷史數據和預測數據。

市場覆蓋範圍
基準年 2025
年末 2029
預測期 2025-2029
成長勢頭 加速度
2025年與前一年相比 19.8%
複合年成長率 21.1%
增量 19.025億美元

該研究指出,可解釋人工智慧在調試領域的興起是未來幾年推動全球人工智慧系統調試市場成長的關鍵因素之一。此外,MLOps中主動式和持續式調試的興起,以及對倫理人工智慧和用於減少偏見的人工智慧調試日益成長的關注,也將為市場創造巨大的需求。

目錄

第1章執行摘要

第2章 Technavio 分析

  • 價格回應性、生命週期、顧客購買籃子、採納率和購買標準分析
  • 投入與差異化因素的重要性
  • 混淆來源
  • 促進因素和挑戰的影響

第3章 市場情勢

  • 市場生態系統
  • 市場特徵
  • 價值鏈分析

第4章 市場規模

  • 市場定義
  • 市場區隔分析
  • 2024年市場規模
  • 2024-2029年市場展望

第5章 市場規模表現

  • 2019-2023年全球人工智慧系統調試市場
  • 組件細分分析,2019-2023 年
  • 部署細分市場分析,2019-2023 年
  • 應用細分市場分析,2019-2023 年
  • 區域細分市場分析,2019-2023年
  • 國家細分市場分析,2019-2023年

第6章五力分析

  • 五力分析概述
  • 買方的議價能力
  • 供應商的議價能力
  • 新進入者的威脅
  • 替代品的威脅
  • 競爭威脅
  • 市場狀況

7. 按組件進行市場細分

  • 比較:按組件
  • 軟體
  • 服務
  • 按組件分類的市場機會

8. 依部署方式進行市場區隔

  • 比較:依部署方式
  • 基於雲端的
  • 本地部署
  • 按部署方式分類的市場機會

第9章 按應用進行市場細分

  • 比較:透過應用
  • 程式碼偵錯
  • 模型除錯
  • 其他
  • 按應用分類的市場機會

第10章 客戶情況

第11章 區域情勢

  • 區域細分
  • 區域比較
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 印尼
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 荷蘭
    • 義大利
    • 西班牙
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
  • 中東和非洲
    • 南非
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 以色列
    • 土耳其
  • 各區域的市場機遇

第12章:促進因素、挑戰與機遇

  • 市場促進因素
  • 市場挑戰
  • 促進因素和挑戰的影響
  • 市場機遇

第13章 競爭格局

  • 概述
  • 競爭格局
  • 令人困惑的局面
  • 產業風險

第14章 競爭分析

  • 公司簡介
  • 企業排名指數
  • 公司市場定位
  • Accenture PLC
  • Alibaba Group Holding Ltd.
  • Amazon Web Services Inc.
  • Baidu Inc.
  • GitHub Inc.
  • Google LLC
  • Hound Technology Inc.
  • IBM Corp.
  • Microsoft Corp.
  • NEC Corp.
  • OpenAI
  • Oracle Corp.
  • QASource
  • SAP SE
  • Tencent Holdings Ltd.

第15章附錄

簡介目錄
Product Code: IRTNTR81096

The global AI system debugging market is forecasted to grow by USD 1902.5 mn during 2024-2029, accelerating at a CAGR of 21.1% during the forecast period. The report on the global AI system debugging market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing complexity of AI systems, growing demand for responsible AI and regulatory compliance, expansion of AI applications across industries.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Market Scope
Base Year2025
End Year2029
Series Year2025-2029
Growth MomentumAccelerate
YOY 202519.8%
CAGR21.1%
Incremental Value$1902.5 mn

Technavio's global AI system debugging market is segmented as below:

By Component

  • Software
  • Services

By Deployment

  • Cloud-based
  • On-premises

By Application

  • Code debugging
  • Model debugging
  • Others

Geography

  • North America
    • US
    • Canada
    • Mexico
  • APAC
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Indonesia
  • Europe
    • Germany
    • UK
    • France
    • The Netherlands
    • Italy
    • Spain
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East and Africa
    • South Africa
    • UAE
    • Turkey
  • Rest of World (ROW)

This study identifies the rise of explainable AI for debugging as one of the prime reasons driving the global AI system debugging market growth during the next few years. Also, shift towards proactive and continuous debugging in mlops and emphasis on AI debugging for ethical AI and bias mitigation will lead to sizable demand in the market.

The report on the global AI system debugging market covers the following areas:

  • Global AI system debugging market sizing
  • Global AI system debugging market forecast
  • Global AI system debugging market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI system debugging market vendors that include Accenture PLC, Alibaba Group Holding Ltd., Amazon Web Services Inc., Baidu Inc., BrowserStack Inc., GitHub Inc., Google LLC, Hound Technology Inc., IBM Corp., LambdaTest, Microsoft Corp., NEC Corp., OpenAI, Oracle Corp., QASource, SAP SE, Tencent Holdings Ltd.. Also, the global AI system debugging market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

  • 1.1 Market overview
    • Executive Summary - Chart on Market Overview
    • Executive Summary - Data Table on Market Overview
    • Executive Summary - Chart on Global Market Characteristics
    • Executive Summary - Chart on Market by Geography
    • Executive Summary - Chart on Market Segmentation by Component
    • Executive Summary - Chart on Market Segmentation by Deployment
    • Executive Summary - Chart on Market Segmentation by Application
    • Executive Summary - Chart on Incremental Growth
    • Executive Summary - Data Table on Incremental Growth
    • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

  • 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • 2.2 Criticality of inputs and Factors of differentiation
  • 2.3 Factors of disruption
  • 2.4 Impact of drivers and challenges

3 Market Landscape

  • 3.1 Market ecosystem
  • 3.2 Market characteristics
  • 3.3 Value chain analysis

4 Market Sizing

  • 4.1 Market definition
  • 4.2 Market segment analysis
    • Market segments
  • 4.3 Market size 2024
  • 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

  • 5.1 Global AI System Debugging Market 2019 - 2023
    • Historic Market Size - Data Table on Global AI System Debugging Market 2019 - 2023 ($ million)
  • 5.2 Component segment analysis 2019 - 2023
    • Historic Market Size - Component Segment 2019 - 2023 ($ million)
  • 5.3 Deployment segment analysis 2019 - 2023
    • Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
  • 5.4 Application segment analysis 2019 - 2023
    • Historic Market Size - Application Segment 2019 - 2023 ($ million)
  • 5.5 Geography segment analysis 2019 - 2023
    • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
  • 5.6 Country segment analysis 2019 - 2023
    • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

  • 6.1 Five forces summary
    • Five forces analysis - Comparison between 2024 and 2029
  • 6.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2024 and 2029
  • 6.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
  • 6.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2024 and 2029
  • 6.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2024 and 2029
  • 6.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2024 and 2029
  • 6.7 Market condition

7 Market Segmentation by Component

  • 7.1 Market segments
  • 7.2 Comparison by Component
  • 7.3 Software - Market size and forecast 2024-2029
  • 7.4 Services - Market size and forecast 2024-2029
  • 7.5 Market opportunity by Component
    • Market opportunity by Component ($ million)

8 Market Segmentation by Deployment

  • 8.1 Market segments
  • 8.2 Comparison by Deployment
  • 8.3 Cloud-based - Market size and forecast 2024-2029
  • 8.4 On-premises - Market size and forecast 2024-2029
  • 8.5 Market opportunity by Deployment
    • Market opportunity by Deployment ($ million)

9 Market Segmentation by Application

  • 9.1 Market segments
  • 9.2 Comparison by Application
  • 9.3 Code debugging - Market size and forecast 2024-2029
  • 9.4 Model debugging - Market size and forecast 2024-2029
  • 9.5 Others - Market size and forecast 2024-2029
  • 9.6 Market opportunity by Application
    • Market opportunity by Application ($ million)

10 Customer Landscape

  • 10.1 Customer landscape overview
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

  • 11.1 Geographic segmentation
  • 11.2 Geographic comparison
  • 11.3 North America - Market size and forecast 2024-2029
    • 11.3.1 US - Market size and forecast 2024-2029
    • 11.3.2 Canada - Market size and forecast 2024-2029
    • 11.3.3 Mexico - Market size and forecast 2024-2029
  • 11.4 APAC - Market size and forecast 2024-2029
    • 11.4.1 China - Market size and forecast 2024-2029
    • 11.4.2 India - Market size and forecast 2024-2029
    • 11.4.3 Japan - Market size and forecast 2024-2029
    • 11.4.4 South Korea - Market size and forecast 2024-2029
    • 11.4.5 Australia - Market size and forecast 2024-2029
    • 11.4.6 Indonesia - Market size and forecast 2024-2029
  • 11.5 Europe - Market size and forecast 2024-2029
    • 11.5.1 Germany - Market size and forecast 2024-2029
    • 11.5.2 UK - Market size and forecast 2024-2029
    • 11.5.3 France - Market size and forecast 2024-2029
    • 11.5.4 The Netherlands - Market size and forecast 2024-2029
    • 11.5.5 Italy - Market size and forecast 2024-2029
    • 11.5.6 Spain - Market size and forecast 2024-2029
  • 11.6 South America - Market size and forecast 2024-2029
    • 11.6.1 Brazil - Market size and forecast 2024-2029
    • 11.6.2 Argentina - Market size and forecast 2024-2029
    • 11.6.3 Colombia - Market size and forecast 2024-2029
  • 11.7 Middle East and Africa - Market size and forecast 2024-2029
    • 11.7.1 South Africa - Market size and forecast 2024-2029
    • 11.7.2 UAE - Market size and forecast 2024-2029
    • 11.7.3 Saudi Arabia - Market size and forecast 2024-2029
    • 11.7.4 Israel - Market size and forecast 2024-2029
    • 11.7.5 Turkey - Market size and forecast 2024-2029
  • 11.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

  • 12.1 Market drivers
    • Increasing complexity of AI systems
    • Growing demand for responsible AI and regulatory compliance
    • Expansion of AI applications across industries
  • 12.2 Market challenges
    • Lack of skilled professionals
    • Difficulty in debugging black-box models
    • Integration complexities with existing MLOps workflows
  • 12.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2024 and 2029
  • 12.4 Market opportunities
    • Rise of explainable AI for debugging
    • Shift towards proactive and continuous debugging in MLOps
    • Emphasis on AI debugging for ethical AI and bias mitigation

13 Competitive Landscape

  • 13.1 Overview
  • 13.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 13.3 Landscape disruption
    • Overview on factors of disruption
  • 13.4 Industry risks
    • Impact of key risks on business

14 Competitive Analysis

  • 14.1 Companies profiled
    • Companies covered
  • 14.2 Company ranking index
    • Company ranking index
  • 14.3 Market positioning of companies
    • Matrix on companies position and classification
  • 14.4 Accenture PLC
    • Accenture PLC - Overview
    • Accenture PLC - Business segments
    • Accenture PLC - Key news
    • Accenture PLC - Key offerings
    • Accenture PLC - Segment focus
    • SWOT
  • 14.5 Alibaba Group Holding Ltd.
    • Alibaba Group Holding Ltd. - Overview
    • Alibaba Group Holding Ltd. - Business segments
    • Alibaba Group Holding Ltd. - Key news
    • Alibaba Group Holding Ltd. - Key offerings
    • Alibaba Group Holding Ltd. - Segment focus
    • SWOT
  • 14.6 Amazon Web Services Inc.
    • Amazon Web Services Inc. - Overview
    • Amazon Web Services Inc. - Product / Service
    • Amazon Web Services Inc. - Key news
    • Amazon Web Services Inc. - Key offerings
    • SWOT
  • 14.7 Baidu Inc.
    • Baidu Inc. - Overview
    • Baidu Inc. - Business segments
    • Baidu Inc. - Key offerings
    • Baidu Inc. - Segment focus
    • SWOT
  • 14.8 GitHub Inc.
    • GitHub Inc. - Overview
    • GitHub Inc. - Product / Service
    • GitHub Inc. - Key offerings
    • SWOT
  • 14.9 Google LLC
    • Google LLC - Overview
    • Google LLC - Product / Service
    • Google LLC - Key offerings
    • SWOT
  • 14.10 Hound Technology Inc.
    • Hound Technology Inc. - Overview
    • Hound Technology Inc. - Product / Service
    • Hound Technology Inc. - Key offerings
    • SWOT
  • 14.11 IBM Corp.
    • IBM Corp. - Overview
    • IBM Corp. - Business segments
    • IBM Corp. - Key news
    • IBM Corp. - Key offerings
    • IBM Corp. - Segment focus
    • SWOT
  • 14.12 Microsoft Corp.
    • Microsoft Corp. - Overview
    • Microsoft Corp. - Business segments
    • Microsoft Corp. - Key news
    • Microsoft Corp. - Key offerings
    • Microsoft Corp. - Segment focus
    • SWOT
  • 14.13 NEC Corp.
    • NEC Corp. - Overview
    • NEC Corp. - Business segments
    • NEC Corp. - Key news
    • NEC Corp. - Key offerings
    • NEC Corp. - Segment focus
    • SWOT
  • 14.14 OpenAI
    • OpenAI - Overview
    • OpenAI - Product / Service
    • OpenAI - Key offerings
    • SWOT
  • 14.15 Oracle Corp.
    • Oracle Corp. - Overview
    • Oracle Corp. - Business segments
    • Oracle Corp. - Key news
    • Oracle Corp. - Key offerings
    • Oracle Corp. - Segment focus
    • SWOT
  • 14.16 QASource
    • QASource - Overview
    • QASource - Product / Service
    • QASource - Key offerings
    • SWOT
  • 14.17 SAP SE
    • SAP SE - Overview
    • SAP SE - Business segments
    • SAP SE - Key news
    • SAP SE - Key offerings
    • SAP SE - Segment focus
    • SWOT
  • 14.18 Tencent Holdings Ltd.
    • Tencent Holdings Ltd. - Overview
    • Tencent Holdings Ltd. - Business segments
    • Tencent Holdings Ltd. - Key news
    • Tencent Holdings Ltd. - Key offerings
    • Tencent Holdings Ltd. - Segment focus
    • SWOT

15 Appendix

  • 15.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 15.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 15.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 15.4 Research methodology
    • Research methodology
  • 15.5 Data procurement
    • Information sources
  • 15.6 Data validation
    • Data validation
  • 15.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 15.8 Data synthesis
    • Data synthesis
  • 15.9 360 degree market analysis
    • 360 degree market analysis
  • 15.10 List of abbreviations
    • List of abbreviations