세계의 인공지능(AI) 기반 제품 리콜 예측 시장 보고서(2025년)

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