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市场调查报告书
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2025年人工智慧（AI）产品召回预测全球市场报告

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个工作天内

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简介目录

近年来，人工智慧 (AI) 产品召回预测市场规模迅速扩张，从 2024 年的 13.6 亿美元成长到 2025 年的 17.1 亿美元，复合年增长率高达 25.3%。这段时期的成长可归因于多种因素，包括供应链的全球化、更严格的安全合规要求、消费者产品安全意识的增强、製造流程数位化程度的提高以及产品召回的增加。

人工智慧 (AI) 驱动的产品召回预测市场规模预计将在未来几年快速成长，到 2029 年将达到 41.6 亿美元，复合年增长率为 25.0%。预测期内的成长可归因于不断增加的监管压力、日益复杂的产品、对即时可追溯性日益增长的需求、云端基础的解决方案的广泛采用以及对人工智慧主导的风险预测投资的增加。预计在此期间的主要趋势包括机器学习演算法的进步、云端平台的整合、製药行业技术应用的不断增长、人工智慧分析技术的进步以及预测性维护技术的改进。

人工智慧产品召回预测利用人工智慧演算法和机器学习模型来评估历史数据、产品效能指标和消费者回馈。其目标是在产品上市或造成重大损害之前预测潜在的缺陷和安全问题。这种方法可以帮助企业主动识别高风险产品，最大限度地降低财务风险，提高消费者安全，并促进其遵守监管要求。

人工智慧产品召回预测的核心组件包括软体、硬体和服务。软体包括各种数位工具、分析平台和应用程序，旨在处理和管理数据，提升各行各业的决策能力和营运效率。这些软体解决方案可以本地託管或透过云端部署，适用于从中小型企业到大型企业的各种规模的组织。该技术已应用于汽车、食品饮料、製药、家电和零售等领域，并被包括製造商、经销商和零售商在内的各类相关人员所使用。

2025 年春季美国关税的快速上涨以及由此引发的贸易摩擦对资讯技术领域产生了重大影响，尤其是硬体製造、资料基础设施和软体部署。对进口半导体、电路基板和网路设备征收更高的关税，增加了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司面临更长的前置作业时间和价格上涨的压力。同时，对专业软体工具征收的关税以及主要国际市场的报復性措施正在扰乱全球 IT 供应链，并减少海外对美国开发技术的需求。为了应对这些挑战，该行业正在加快对国内晶片製造的投资，实现供应商基础多元化，并采用人工智慧主导的自动化，以提高营运的弹性和成本效益。

本研究报告是商业研究公司（The Business Research Company）新报告系列的一部分，该系列提供人工智能 (AI) 产品召回预测市场统计数据，包括全球市场规模、各地区份额、竞争对手的人工智能 (AI) 产品召回预测市场份额、详细的人工智能 (AI) 产品召回行业细分市场、市场趋势和机会，以及在人工智能 (AI) 产品预测这份人工智慧 (AI) 产品召回预测市场研究报告提供了对该行业当前和未来情况的深入分析，并提供了全面的展望。

供应链管理中自动化的日益普及预计将推动人工智慧主导的产品召回预测市场的成长。自动化是利用技术和系统来简化、监督和管理供应链流程，在有限的人力投入下提高准确性和效率。随着企业寻求最大限度地减少错误并改善库存和订单处理，对自动化的需求持续成长。人工智慧驱动的产品召回预测可以及早发现潜在产品问题并实现快速召回回应，减少财务损失并促进平稳运营，从而支持这些努力。例如，2025 年 7 月，美国技术型物流供应商 Orange Connex 报告称，人工智慧驱动的预测分析可以将预测误差减少 50%，并将营运费用降低 20-30%，47% 的中型企业已经采用人工智慧来增强其工作流程。因此，供应链营运对自动化的日益依赖正在促进人工智慧主导的产品召回预测市场的扩张。

预计数位技术投资的增加将支持人工智慧主导的产品召回预测市场的扩张。这些投资涉及将资源分配给硬体、软体、连接和服务，旨在增强数位能力、促进创新和提高营运效率。随着越来越多的公司采用人工智慧和分析等先进工具来简化营运和提高业务绩效，数位技术支出正在增加。这些投资为人工智慧系统即时识别和预测潜在产品缺陷提供了至关重要的数据基础设施和分析工具。例如，英国国家统计局在 2024 年 7 月报告称，2022 年数位基础设施的年度投资将达到 124.6 亿美元（92 亿英镑），比上一年增长 22.9%。这些数位技术投资趋势在推动人工智慧驱动的产品召回预测市场的成长方面发挥关键作用。

人工智慧主导的产品召回预测市场中的主要企业正优先开发创新工具，例如基于人工智慧的预测性品质分析，以提高产品安全性、降低营运风险并降低与召回相关的成本。这些解决方案利用人工智慧分析数据并预测潜在的产品缺陷，使组织能够采取预防措施并维持品质标准。例如，美国云端原生品质品管软体供应商 ETQ LLC 于 2024 年 10 月宣布推出其预测性品质分析解决方案「ETQ Reliance」。这款人工智慧增强型工具由 ETQ 与 Acerta Analytics Solutions 合作开发，可与 ETQ 的品管系统 (QMS) 集成，并利用机器学习和即时製造资料在製造过程的早期识别和解决缺陷。它可以自动发出品质风险警报，加快根本原因分析，并支援主动解决问题。透过将人工智慧功能与人工决策相结合，该解决方案有助于减少废品、返工和召回事件，同时提高产品品质和营运绩效。

人工智慧 (AI) 产品召回预测市场由提供缺陷检测、品质监控、风险预测、召回预测和供应链分析等服务的供应商所获得的收益所构成。市场价值还包括服务供应商销售或包含在其服务产品中的相关商品的价值。人工智慧 (AI) 产品召回预测市场还包括软体平台、分析工具、数据整合系统以及人工智慧 (AI) 支援的品质监控解决方案的销售。该市场的价值是“出厂价”，即商品製造商或生产商销售给其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接销售给最终客户的商品价值。该市场中的商品价值还包括商品製造商销售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球人工智慧 (AI) 产品召回预测：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球人工智慧（AI）产品召回预测市场：成长率分析
  • 全球人工智慧 (AI) 产品召回预测市场表现：规模与成长，2019-2024 年
  • 全球人工智慧 (AI) 产品召回预测市场：规模与成长，2024-2029 年，2034 年预测
  • 全球人工智慧 (AI) 产品召回预测：总目标市场 (TAM)

第六章 市场细分

  • 全球人工智慧 (AI) 产品召回预测市场：按组件、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 软体
  • 硬体
  • 服务
  • 全球人工智慧 (AI) 产品召回预测市场：按部署模式、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 云
  • 全球人工智慧 (AI) 产品召回预测市场：按公司规模、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 小型企业
  • 大公司
  • 全球人工智慧 (AI) 产品召回预测市场：按应用、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 车
  • 食品/饮料
  • 製药
  • 家电
  • 零售
  • 其他用途
  • 全球人工智慧 (AI) 产品召回预测市场：按最终用户、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 製造商
  • 经销商
  • 零售商
  • 其他最终用户
  • 全球人工智慧 (AI) 产品召回预测市场：按软体（类型）细分，实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 预测分析平台
  • 机器学习框架
  • 自然语言处理工具
  • 数据整合软体
  • 模型管理解决方案
  • 全球人工智慧 (AI) 产品召回预测市场：按硬体（类型）细分，实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 高效能运算系统
  • 图形处理单元
  • 资料储存设备
  • 网路基础设施元件
  • 边缘运算设备
  • 全球人工智慧 (AI) 产品召回预测市场：按服务类型、绩效和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 实施服务
  • 咨询服务
  • 培训和支援服务
  • 系统整合服务
  • 託管服务

第七章 区域和国家分析

  • 全球人工智慧 (AI) 产品召回预测市场：按地区、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧 (AI) 产品召回预测市场：按国家、实际结果和预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 人工智慧（AI）产品召回预测市场：竞争格局
  • 人工智慧（AI）产品召回预测市场：公司简介
    • 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：其他领先和创新企业

  • 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 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章：高潜力市场国家、细分市场与策略

  • 2029年人工智慧（AI）产品召回预测市场：哪些国家将提供新机会
  • 2029年人工智慧（AI）产品召回预测市场：细分领域带来新机会
  • 2029年人工智慧（AI）产品召回预测市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
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