AI in Manufacturing Market to be worth $47.88 Billion By 2030 - Grand View Research, Inc.

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size is anticipated to reach USD 47.88 billion by 2030 and is anticipated to expand at a CAGR of 46.5% from 2025 to 2030, according to a new report by Grand View Research, Inc. The substantial driver propelling the growth of the market is the escalating demand to manage progressively larger and intricate datasets, coupled with the emergence of industrial IoT and automation technology. The market's expansion is primarily attributed to the widespread utilization of big data, machine learning models, industrial robots, and the progression of the Internet of Things (IoT). Additionally, key macro drivers such as prioritizing value creation and delivering enhanced customer experiences contribute significantly to the notable growth observed in the artificial intelligence in manufacturing market.

Innovations in computer vision technology empowered manufacturers to apply AI-based quality control methods. With machine learning algorithms trained on vast datasets, it became possible to perform real-time inspections and identify flaws during production. AI-powered systems were proficient in accurately spotting variations or faults in products, ensuring elevated quality standards, and decreasing the chances of faulty goods reaching consumers. This shift in quality control not only boosted product dependability but also aided in minimizing waste and enhancing customer satisfaction.

The European market anticipates a consistent and rapid surge in revenue growth throughout the projected period, primarily propelled by increased governmental endeavors to implement smart factory initiatives across Europe. The European Union (EU) has formulated an AI strategy with the objective of positioning the EU as a frontrunner in AI innovation while ensuring the development and utilization of machine learning aligns with human-centric values and is deemed reliable. To bolster proficiency in AI, there's a concerted effort between the commission and member states to collaborate on policies and investments. The Commission's ambitious plan involves an annual allocation of 20 billion euros for the next decade towards AI, aiming to draw additional investments from both private sectors and EU member states. These measures are poised to bolster and sustain market revenue growth within the region.

Read full market research report on AI in Manufacturing Market with TOC - Artificial Intelligence in Manufacturing Market Size, Share & Trends Analysis Report by Component (Hardware, Software, Services), By Technology, By Application, By End Use, By Region, And Segment Forecasts, 2025 - 2030

Artificial Intelligence in Manufacturing Market Report Highlights

The hardware segment dominated the component segment with 41.6% share in 2024 owing to the increasing demand for specialized chips.The production planning segment held the largest market share in 2024. AI-powered production planning systems were transforming demand prediction by incorporating sophisticated predictive analytics.The medical device segment held the largest market in 2024 in the end use segment. Owing to its technology, encompassing quality control, yield optimization, and predictive maintenance, among other functionalities.North America's market's revenue growth is propelled by the presence of large companies producing high-performance hardware components essential for running advanced machine learning modelsIn January 2023, Intel Corporation launched the 4th Generation Xeon Scalable Processors along with the Max Series CPUs and GPUs, representing Intel's highly sustainable data center processors. These processors offer a variety of capabilities to enhance power efficiency and performance while maximizing CPU resources, aligning with customers' sustainability objectives.

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Artificial Intelligence in Manufacturing Market Segmentation

Grand View Research has segmented the global artificial intelligence in manufacturing market report based on component, technology, application, end use, and region

AI in Manufacturing Market - Component Outlook (Revenue, USD Million, 2017 - 2030)

HardwareSoftwareServices

AI in Manufacturing Market - Technology Outlook (Revenue, USD Million, 2017 - 2030)

Machine Learning (ML)Computer VisionContext AwarenessNatural Language Processing

AI in Manufacturing Market - Application Outlook (Revenue, USD Million, 2017 - 2030)

Material MovementPredictive Maintenance & Machinery InspectionProduction PlanningField ServicesQuality Control & ReclamationOthers

AI in Manufacturing Market - End Use Outlook (Revenue, USD Million, 2017 - 2030)

Semiconductor & ElectronicsEnergy & PowerMedical devicesAutomobileHeavy Metal & Machine ManufacturingOthers

AI in Manufacturing Market - Regional Outlook (Revenue, USD Million, 2017 - 2030)

North America

U.S.Canada

Europe

GermanyUKFrance

Asia Pacific

ChinaJapanIndiaSouth KoreaAustralia

Latin America

BrazilMexico

Middle East and Africa (MEA)

KSAUAESouth Africa

List of Key Players of Artificial Intelligence in Manufacturing Market

AIBrain Inc.Amazon Web ServicesAquant Inc.Cisco Systems IncGeneral Electric CompanyGeneral Vision Inc.Google LLC (Alphabet Inc.)IBM CorporationIntel CorporationMicron Technology Inc.Microsoft CorporationMitsubishi Electric CorporationNVIDIA CorporationOracle CorporationRethink RoboticsRockwell Automation IncSAP SESiemens AGSight MachineSpark Cognition Inc.

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About Grand View Research

Grand View Research, U.S.-based market research and consulting company, provides syndicated as well as customized research reports and consulting services. Registered in California and headquartered in San Francisco, the company comprises over 425 analysts and consultants, adding more than 1200 market research reports to its vast database each year. These reports offer in-depth analysis on 46 industries across 25 major countries worldwide. With the help of an interactive market intelligence platform, Grand View Research Helps Fortune 500 companies and renowned academic institutes understand the global and regional business environment and gauge the opportunities that lie ahead.

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