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市場調查報告書
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1852242

2025年人工智慧（AI）產品召回預測全球市場報告

Artificial Intelligence (AI)-Driven Product Recall Prediction Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，人工智慧 (AI) 產品召回預測市場規模迅速擴張，從 2024 年的 13.6 億美元成長到 2025 年的 17.1 億美元，複合年成長率高達 25.3%。這段時期的成長可歸因於多種因素，包括供應鏈的全球化、更嚴格的安全合規要求、消費者產品安全意識的增強、製造流程數位化程度的提高以及產品召回的增加。

人工智慧 (AI) 驅動的產品召回預測市場規模預計將在未來幾年快速成長，到 2029 年將達到 41.6 億美元，複合年成長率為 25.0%。預測期內的成長可歸因於不斷增加的監管壓力、日益複雜的產品、對即時可追溯性日益成長的需求、雲端基礎的解決方案的廣泛採用以及對人工智慧主導的風險預測投資的增加。預計在此期間的主要趨勢包括機器學習演算法的進步、雲端平台的整合、製藥行業技術應用的不斷成長、人工智慧分析技術的進步以及預測性維護技術的改進。

人工智慧產品召回預測利用人工智慧演算法和機器學習模型來評估歷史數據、產品效能指標和消費者回饋。其目標是在產品上市或造成重大損害之前預測潛在的缺陷和安全問題。這種方法可以幫助企業主動識別高風險產品，最大限度地降低財務風險，提高消費者安全，並促進其遵守監管要求。

人工智慧產品召回預測的核心組件包括軟體、硬體和服務。軟體包括各種數位工具、分析平台和應用程式，旨在處理和管理數據，提升各行各業的決策能力和營運效率。這些軟體解決方案可以本地託管或透過雲端部署，適用於從中小型企業到大型企業的各種規模的組織。該技術已應用於汽車、食品飲料、製藥、家電和零售等領域，並被包括製造商、經銷商和零售商在內的各類相關人員所使用。

2025 年春季美國關稅的快速上漲以及由此引發的貿易摩擦對資訊技術領域產生了重大影響，尤其是硬體製造、資料基礎設施和軟體部署。對進口半導體、電路基板和網路設備徵收更高的關稅，增加了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司面臨更長的前置作業時間和價格上漲的壓力。同時，對專業軟體工具徵收的關稅以及主要國際市場的報復性措施正在擾亂全球 IT 供應鏈，並減少海外對美國開發技術的需求。為了應對這些挑戰，該行業正在加快對國內晶片製造的投資，實現供應商基礎多元化，並採用人工智慧主導的自動化，以提高營運的彈性和成本效益。

本研究報告是商業研究公司（The Business Research Company）新報告系列的一部分，該系列提供人工智慧 (AI) 產品召回預測市場統計數據，包括全球市場規模、各地區佔有率、競爭對手的人工智慧 (AI) 產品召回預測市場佔有率、詳細的人工智慧 (AI) 產品召回行業細分市場、市場趨勢和機遇，以及在人工智慧 (AI) 產品預測這份人工智慧 (AI) 產品召回預測市場研究報告提供了對該行業當前和未來情況的深入分析，並提供了全面的展望。

供應鏈管理中自動化的日益普及預計將推動人工智慧主導的產品召回預測市場的成長。自動化是利用技術和系統來簡化、監督和管理供應鏈流程，在有限的人力投入下提高準確性和效率。隨著企業尋求最大限度地減少錯誤並改善庫存和訂單處理，對自動化的需求持續成長。人工智慧驅動的產品召回預測可以及早發現潛在產品問題並實現快速召回回應，減少財務損失並促進平穩營運，從而支持這些努力。例如，2025 年 7 月，美國技術型物流供應商 Orange Connex 報告稱，人工智慧驅動的預測分析可以將預測誤差減少 50%，並將營運費用降低 20-30%，47% 的中型企業已經採用人工智慧來增強其工作流程。因此，供應鏈營運對自動化的日益依賴正在促進人工智慧主導的產品召回預測市場的擴張。

預計數位技術投資的增加將支持人工智慧主導的產品召回預測市場的擴張。這些投資涉及將資源分配給硬體、軟體、連接和服務，旨在增強數位能力、促進創新和提高營運效率。隨著越來越多的公司採用人工智慧和分析等先進工具來簡化營運和提高業務績效，數位技術支出正在增加。這些投資為人工智慧系統即時識別和預測潛在產品缺陷提供了至關重要的數據基礎設施和分析工具。例如，英國國家統計局在 2024 年 7 月報告稱，2022 年數位基礎設施的年度投資將達到 124.6 億美元（92 億英鎊），比上一年成長 22.9%。這些數位技術投資趨勢在推動人工智慧驅動的產品召回預測市場的成長方面發揮關鍵作用。

人工智慧主導的產品召回預測市場中的主要企業正優先開發創新工具，例如基於人工智慧的預測性品質分析，以提高產品安全性、降低營運風險並降低與召回相關的成本。這些解決方案利用人工智慧分析數據並預測潛在的產品缺陷，使組織能夠採取預防措施並維持品質標準。例如，美國雲端原生品質品管軟體供應商 ETQ LLC 於 2024 年 10 月宣布推出其預測性品質分析解決方案「ETQ Reliance」。這款人工智慧增強型工具由 ETQ 與 Acerta Analytics Solutions 合作開發，可與 ETQ 的品管系統 (QMS) 整合，並利用機器學習和即時製造資料在製造過程的早期識別和解決缺陷。它可以自動發出品質風險警報，加快根本原因分析，並支援主動解決問題。透過將人工智慧功能與人工決策相結合，該解決方案有助於減少廢品、返工和召回事件，同時提高產品品質和營運績效。

人工智慧 (AI) 產品召回預測市場由提供缺陷檢測、品質監控、風險預測、召回預測和供應鏈分析等服務的供應商所獲得的收益所構成。市場價值還包括服務供應商銷售或包含在其服務產品中的相關商品的價值。人工智慧 (AI) 產品召回預測市場還包括軟體平台、分析工具、數據整合系統以及人工智慧 (AI) 支援的品質監控解決方案的銷售。該市場的價值是“出廠價”，即商品製造商或生產商銷售給其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接銷售給最終客戶的商品價值。該市場中的商品價值還包括商品製造商銷售的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球人工智慧 (AI) 產品召回預測：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 最終用途產業分析
  • 全球人工智慧（AI）產品召回預測市場：成長率分析
  • 全球人工智慧 (AI) 產品召回預測市場表現：規模與成長，2019-2024 年
  • 全球人工智慧 (AI) 產品召回預測市場：規模與成長，2024-2029 年，2034 年預測
  • 全球人工智慧 (AI) 產品召回預測：總目標市場 (TAM)

第6章 市場細分

  • 全球人工智慧 (AI) 產品召回預測市場：按組件、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 軟體
  • 硬體
  • 服務
  • 全球人工智慧 (AI) 產品召回預測市場：按部署模式、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 雲
  • 全球人工智慧 (AI) 產品召回預測市場：按公司規模、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 小型企業
  • 主要企業
  • 全球人工智慧 (AI) 產品召回預測市場：按應用、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 車
  • 食品/飲料
  • 製藥
  • 家電
  • 零售
  • 其他用途
  • 全球人工智慧 (AI) 產品召回預測市場：按最終用戶、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 製造商
  • 經銷商
  • 零售商
  • 其他最終用戶
  • 全球人工智慧 (AI) 產品召回預測市場：按軟體（類型）細分，實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 預測分析平台
  • 機器學習框架
  • 自然語言處理工具
  • 數據整合軟體
  • 模型管理解決方案
  • 全球人工智慧 (AI) 產品召回預測市場：按硬體（類型）細分，實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 高效能運算系統
  • 圖形處理單元
  • 資料儲存設備
  • 網路基礎設施元件
  • 邊緣運算設備
  • 全球人工智慧 (AI) 產品召回預測市場：按服務類型、績效和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 實施服務
  • 諮詢服務
  • 培訓和支援服務
  • 系統整合服務
  • 託管服務

第7章 區域和國家分析

  • 全球人工智慧 (AI) 產品召回預測市場：按地區、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧 (AI) 產品召回預測市場：按國家、實際結果和預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章：西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工智慧（AI）產品召回預測市場：競爭格局
  • 人工智慧（AI）產品召回預測市場：公司簡介
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • Honeywell International Inc. Overview, Products and Services, Strategy and Financial Analysis
    • PTC Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Elisa Industriq Oy Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

  • DataRobot Inc.
  • Dataiku Ltd.
  • ETQ Inc.
  • Augury Services Private Limited
  • Uptake Technologies Inc.
  • Sight Machine Inc.
  • LandingAI Inc.
  • MachineMetrics Inc.
  • Falkonry Inc.
  • TrendMiner NV
  • Agroknow SA
  • Acerta Analytics Solutions Inc.
  • Predictronics Corporation
  • Smarteeva Ltd.
  • QualityLine Production Technologies Ltd.

第 32 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029年人工智慧（AI）產品召回預測市場：哪些國家將提供新機會
  • 2029年人工智慧（AI）產品召回預測市場：細分領域帶來新機會
  • 2029年人工智慧（AI）產品召回預測市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
Product Code: r37948

AI-powered product recall prediction involves leveraging artificial intelligence algorithms and machine learning models to evaluate historical data, product performance metrics, and consumer feedback. The goal is to forecast potential defects or safety issues before products are released to the market or cause significant harm. This method allows companies to identify high-risk items in advance, minimize financial risks, improve consumer safety, and ensure smoother compliance with regulatory requirements.

The core components of AI-driven product recall prediction include software, hardware, and services. Software encompasses a range of digital tools, analytics platforms, and applications designed to process and manage data, thereby enhancing decision-making and operational effectiveness across industries. These software solutions can be hosted either on-premises or via the cloud, catering to organizations of all sizes, from small businesses to large enterprises. This technology is applied in sectors such as automotive, food and beverage, pharmaceuticals, consumer electronics, and retail, and is used by various stakeholders including manufacturers, distributors, retailers, and more.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The artificial intelligence (AI)-driven product recall prediction market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI)-driven product recall prediction market statistics, including artificial intelligence (AI)-driven product recall prediction industry global market size, regional shares, competitors with a artificial intelligence (AI)-driven product recall prediction market share, detailed artificial intelligence (AI)-driven product recall prediction market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-driven product recall prediction industry. This artificial intelligence (AI)-driven product recall prediction market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI)-driven product recall prediction market size has grown rapidly in recent years. It will grow from $1.36 billion in 2024 to $1.71 billion in 2025 at a compound annual growth rate (CAGR) of 25.3%. The growth during the historical period can be credited to several factors, including the globalization of supply chains, stricter safety compliance demands, heightened consumer awareness regarding product safety, increased digitization within manufacturing processes, and a growing number of product recalls.

The artificial intelligence (AI)-driven product recall prediction market size is expected to see rapid growth in the next few years. It will grow to $4.16 billion in 2029 at a compound annual growth rate (CAGR) of 25.0%. The projected growth in the forecast period can be attributed to heightened regulatory pressures, increasing product complexity, a growing need for real-time traceability, wider adoption of cloud-based solutions, and rising investments in AI-driven risk prediction. Key trends expected during this period include progress in machine learning algorithms, the integration of cloud platforms, expanded technology use in the pharmaceutical sector, advancements in AI-powered analytics, and improvements in predictive maintenance techniques.

The increasing adoption of automation in supply chain management is anticipated to drive growth in the AI-driven product recall prediction market. Automation involves utilizing technology and systems to streamline, oversee, and manage supply chain processes with limited human input, thereby enhancing accuracy and efficiency. As companies aim to minimize errors and improve the handling of inventory and order fulfillment, the need for automation continues to grow. AI-powered product recall prediction supports these efforts by detecting potential product issues early, enabling quicker recall actions, reducing financial losses, and promoting smoother operations. For example, in July 2025, Orange Connex, a U.S.-based technology-enabled fourth-party logistics provider, reported that AI-driven predictive analytics could lower forecasting errors by 50% and reduce operational expenses by 20-30%, with 47% of mid-sized firms already implementing AI to enhance their workflows. As a result, the growing reliance on automation in supply chain operations is contributing to the expansion of the AI-driven product recall prediction market.

Growing investments in digital technologies are expected to support the expansion of the AI-driven product recall prediction market. These investments involve allocating resources toward hardware, software, connectivity, and services designed to strengthen digital capabilities, foster innovation, and boost operational efficiency. As more businesses adopt advanced tools such as AI and analytics to streamline operations and enhance performance, spending on digital technologies continues to rise. Such investments provide the essential data infrastructure and analytical tools that allow AI systems to identify and predict potential product defects in real time. For example, in July 2024, the UK's Office for National Statistics reported that annual investment in digital infrastructure reached \$12.46 billion USD (£9.2 billion) in 2022, marking a 22.9% increase over the previous year. This upward trend in digital technology investment is therefore playing a key role in driving growth in the AI-driven product recall prediction market.

Leading companies in the AI-driven product recall prediction market are prioritizing the development of innovative tools, such as AI-powered predictive quality analytics, to improve product safety, lower operational risks, and reduce the costs associated with recalls. These solutions utilize artificial intelligence to analyze data and forecast potential product defects, allowing organizations to take preventive measures and maintain quality standards. For example, in October 2024, ETQ LLC, a U.S.-based provider of cloud-native quality management software, introduced the ETQ Reliance predictive quality analytics solution. Developed in collaboration with Acerta Analytics Solutions, this AI-enhanced tool integrates with ETQ's quality management system (QMS) and uses machine learning along with real-time manufacturing data to identify and address defects early in the production process. It automates alerts for quality risks, speeds up root cause analysis, and supports proactive issue resolution. By combining AI capabilities with human decision-making, the solution helps decrease scrap, rework, and recall incidents while enhancing product quality and operational performance.

Major players in the artificial intelligence (ai)-driven product recall prediction market are Amazon Web Services Inc., Siemens AG, Honeywell International Inc., PTC Inc., Elisa Industriq Oy, DataRobot Inc., Dataiku Ltd., ETQ Inc., Augury Services Private Limited, Uptake Technologies Inc., Sight Machine Inc., LandingAI Inc., MachineMetrics Inc., Falkonry Inc., TrendMiner NV, Agroknow S.A., Acerta Analytics Solutions Inc., Predictronics Corporation, Smarteeva Ltd., QualityLine Production Technologies Ltd.

North America was the largest region in the artificial intelligence (AI)-driven product recall prediction market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-driven product recall prediction report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence (AI)-driven product recall prediction market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-driven product recall prediction market consists of revenues earned by entities by providing services, such as defect detection, quality monitoring, risk prediction, recall forecasting, and supply chain analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-driven product recall prediction market also includes sales of software platforms, analytics tools, data integration systems, and artificial intelligence (AI)-powered quality monitoring solutions. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI)-Driven Product Recall Prediction Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai)-driven product recall prediction market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for artificial intelligence (ai)-driven product recall prediction ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai)-driven product recall prediction market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component: Software; Hardware; Services
  • 2) By Deployment Mode: On-Premises; Cloud
  • 3) By Enterprise Size: Small And Medium Enterprises; Large Enterprises
  • 4) By Application: Automotive; Food And Beverage; Pharmaceuticals; Consumer Electronics; Retail
  • 5) By End-User: Manufacturers; Distributors; Retailers; Other End-Users
  • Subsegments:
  • 1) By Software: Predictive Analytics Platforms; Machine Learning Frameworks; Natural Language Processing Tools; Data Integration Software; Model Management Solutions
  • 2) By Hardware: High Performance Computing Systems; Graphics Processing Units; Data Storage Devices; Network Infrastructure Components; Edge Computing Devices
  • 3) By Services: Implementation Services; Consulting Services; Training And Support Services; System Integration Services; Managed Services
  • Companies Mentioned: Amazon Web Services Inc.; Siemens AG; Honeywell International Inc.; PTC Inc.; Elisa Industriq Oy; DataRobot Inc.; Dataiku Ltd.; ETQ Inc.; Augury Services Private Limited; Uptake Technologies Inc.; Sight Machine Inc.; LandingAI Inc.; MachineMetrics Inc.; Falkonry Inc.; TrendMiner NV; Agroknow S.A.; Acerta Analytics Solutions Inc.; Predictronics Corporation; Smarteeva Ltd.; QualityLine Production Technologies Ltd.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI)-Driven Product Recall Prediction Market Characteristics

3. Artificial Intelligence (AI)-Driven Product Recall Prediction Market Trends And Strategies

4. Artificial Intelligence (AI)-Driven Product Recall Prediction Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Artificial Intelligence (AI)-Driven Product Recall Prediction PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Market Growth Rate Analysis
  • 5.4. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Total Addressable Market (TAM)

6. Artificial Intelligence (AI)-Driven Product Recall Prediction Market Segmentation

  • 6.1. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Hardware
  • Services
  • 6.2. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud
  • 6.3. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Enterprises
  • Large Enterprises
  • 6.4. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Automotive
  • Food And Beverage
  • Pharmaceuticals
  • Consumer Electronics
  • Retail
  • Other Applications
  • 6.5. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Manufacturers
  • Distributors
  • Retailers
  • Other End-Users
  • 6.6. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Predictive Analytics Platforms
  • Machine Learning Frameworks
  • Natural Language Processing Tools
  • Data Integration Software
  • Model Management Solutions
  • 6.7. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • High Performance Computing Systems
  • Graphics Processing Units
  • Data Storage Devices
  • Network Infrastructure Components
  • Edge Computing Devices
  • 6.8. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Implementation Services
  • Consulting Services
  • Training And Support Services
  • System Integration Services
  • Managed Services

7. Artificial Intelligence (AI)-Driven Product Recall Prediction Market Regional And Country Analysis

  • 7.1. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 8.1. Asia-Pacific Artificial Intelligence (AI)-Driven Product Recall Prediction Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 9.1. China Artificial Intelligence (AI)-Driven Product Recall Prediction Market Overview
  • 9.2. China Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 10.1. India Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 11.1. Japan Artificial Intelligence (AI)-Driven Product Recall Prediction Market Overview
  • 11.2. Japan Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 12.1. Australia Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 13.1. Indonesia Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 14.1. South Korea Artificial Intelligence (AI)-Driven Product Recall Prediction Market Overview
  • 14.2. South Korea Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 15.1. Western Europe Artificial Intelligence (AI)-Driven Product Recall Prediction Market Overview
  • 15.2. Western Europe Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 16.1. UK Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 17.1. Germany Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 18.1. France Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 19.1. Italy Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 20.1. Spain Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 21.1. Eastern Europe Artificial Intelligence (AI)-Driven Product Recall Prediction Market Overview
  • 21.2. Eastern Europe Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 22.1. Russia Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 23.1. North America Artificial Intelligence (AI)-Driven Product Recall Prediction Market Overview
  • 23.2. North America Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 24.1. USA Artificial Intelligence (AI)-Driven Product Recall Prediction Market Overview
  • 24.2. USA Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 25.1. Canada Artificial Intelligence (AI)-Driven Product Recall Prediction Market Overview
  • 25.2. Canada Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 26.1. South America Artificial Intelligence (AI)-Driven Product Recall Prediction Market Overview
  • 26.2. South America Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 27.1. Brazil Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 28.1. Middle East Artificial Intelligence (AI)-Driven Product Recall Prediction Market Overview
  • 28.2. Middle East Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence (AI)-Driven Product Recall Prediction Market

  • 29.1. Africa Artificial Intelligence (AI)-Driven Product Recall Prediction Market Overview
  • 29.2. Africa Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Artificial Intelligence (AI)-Driven Product Recall Prediction Market, Segmentation By Enterprise Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence (AI)-Driven Product Recall Prediction Market Competitive Landscape And Company Profiles

  • 30.1. Artificial Intelligence (AI)-Driven Product Recall Prediction Market Competitive Landscape
  • 30.2. Artificial Intelligence (AI)-Driven Product Recall Prediction Market Company Profiles
    • 30.2.1. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Honeywell International Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. PTC Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Elisa Industriq Oy Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence (AI)-Driven Product Recall Prediction Market Other Major And Innovative Companies

  • 31.1. DataRobot Inc.
  • 31.2. Dataiku Ltd.
  • 31.3. ETQ Inc.
  • 31.4. Augury Services Private Limited
  • 31.5. Uptake Technologies Inc.
  • 31.6. Sight Machine Inc.
  • 31.7. LandingAI Inc.
  • 31.8. MachineMetrics Inc.
  • 31.9. Falkonry Inc.
  • 31.10. TrendMiner NV
  • 31.11. Agroknow S.A.
  • 31.12. Acerta Analytics Solutions Inc.
  • 31.13. Predictronics Corporation
  • 31.14. Smarteeva Ltd.
  • 31.15. QualityLine Production Technologies Ltd.

32. Global Artificial Intelligence (AI)-Driven Product Recall Prediction Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI)-Driven Product Recall Prediction Market

34. Recent Developments In The Artificial Intelligence (AI)-Driven Product Recall Prediction Market

35. Artificial Intelligence (AI)-Driven Product Recall Prediction Market High Potential Countries, Segments and Strategies

  • 35.1 Artificial Intelligence (AI)-Driven Product Recall Prediction Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence (AI)-Driven Product Recall Prediction Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence (AI)-Driven Product Recall Prediction Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer