Press release
Artificial Intelligence (AI) Visual Inspection System Market Outlook 2025-2034: Key Trends, Growth Drivers, and Market Share
Artificial Intelligence AI Visual Inspection System
The growth of the artificial intelligence (AI) visual inspection system market is projected to be incited by an increased demand for automation. Automation employs technology to execute tasks autonomously, thus diminishing human involvement while augmenting accuracy and efficiency. This upsurge in demand is attributed to a need for enhanced efficiency, lower labor expenses, and refined precision in industrial and commercial processes. AI visual inspection systems contribute to this enhancement in automation by facilitating real-time, precise identification of anomalies, discrepancies, and quality matters, lessening human intervention and fostering efficiency and uniformity in manufacturing processes. Flow, a U.S.-based workflow automation firm, reported in July 2024 that the workflow automation sector grows by 20% annually, hitting $5 billion by 2024, characterized by a leading 31% adoption in Robotic process automation (RPA), and 18% in AI. In addition to that, Formstack, a U.S.-based software company, revealed in May 2023 that approximately 76% of corporations employ automation for optimizing day-to-day workflows, 58% apply it for data and reporting to streamline planning, and 36% incorporate it for regulation compliance. Hence, the increasing demand for automation is catalyzing the expansion of the AI visual inspection system market.
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What Is the projected market size and growth rate for the artificial intelligence (ai) visual inspection system market?
The market size for the artificial intelligence (AI) visual inspection system has seen exponential growth in past few years. The forecast predicts a market size of $24.11 billion in 2024, surging to $30.23 billion in 2025, exhibiting a compound annual growth rate (CAGR) of 25.4%. The historical growth can be linked to the increasing demand for automation in the manufacturing sector, the emergence of Industry 4.0 technologies, enhanced image processing capabilities, the increasing need for greater precision and fault detection in production, cost cuts in hardware components, and the expansion of AI use in various industries for quality management and preventive maintenance.
The market size of the artificial intelligence (AI) visual inspection system is projected to witness significant expansion in the upcoming years. By 2029, it is expected to escalate to $74.60 billion, maintaining a compound annual growth rate (CAGR) of 25.3%. The anticipated growth during the forecast period is attributable to factors like rising demand for manufacturing automation, increasing embracement of Industry 4.0 technologies, a growing need for flawless products, the shift towards predictive maintenance, enhancement in hardware for AI processing, and the widening usage of AI in healthcare and security sectors. Key trends during the forecast phase encompass the integration of advanced defect discovery through deep learning algorithms, adoption of 3D imaging and high-resolution cameras, the use of real-time data processing through edge computing, progress in adaptive lighting technologies, improvements in robotic systems, and the employment of cloud-based platforms.
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What new trends are reshaping the artificial intelligence (ai) visual inspection system market and its opportunities?
Key players within the artificial intelligence (AI) visual inspection system market are concentrating on the creation of novel technologies, including the incorporation of real-time AI into inspection systems, in order to amplify precision, quickness, and productivity in defect identification and quality management procedures. Real-time AI, a technology that assesses data and offers instantaneous feedback, enables prompt decision-making and corresponding actions based on real-time input. An example of this happened in August 2022; Advantech, an industrial automation firm situated in Taiwan, teamed up with Overview, a US industrial automation firm, and debuted a real-time AI-focused inspection system, namely the snap platform. It's a flexible machine vision system that simplifies device administration, quality management, and traceability. Equipped with smart cameras, it conducts automatic evaluations based on triggers or sustained video capture, cataloging process information and visual documentation for complete traceability.
What major market segments define the scope and growth of the artificial intelligence (ai) visual inspection system market?
The artificial intelligence (AI) visual inspection system market covered in this report is segmented -
1) By Type: Deep Learning Model, Pre-Trained Model, Other Types
2) By Component: Hardware, Software, Services
3) By Application: Industrial, Medical Treatment, Semiconductor, Rail Transit, Other Applications
Subsegments:
1) By Deep Learning Model: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transformer-Based Models, Self-Supervised Learning Models
2) By Pre-Trained Model: ImageNet-Based Models, Transfer Learning Models, Domain-Specific Pre-Trained Models, Vision Transformer (ViT) Models, Federated Learning Models
3) By Other Types: Rule-Based AI Inspection Systems, Hybrid AI Inspection Systems, Edge AI Visual Inspection Systems, Cloud-Based AI Inspection Systems, Traditional Machine Vision Systems with AI Integration
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Which region dominates the artificial intelligence (ai) visual inspection system market?
North America was the largest region in the artificial intelligence (AI) visual inspection system market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) visual inspection system market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Which key market leaders are driving the artificial intelligence (ai) visual inspection system industry growth?
Major companies operating in the artificial intelligence (AI) visual inspection system market are Siemens AG, Intel Corporation, International Business Machines Corporation, Keyence Corporation, Omron Corporation, Teledyne Technologies Incorporated, Zebra Technologies Corporation, SICK AG, National Instruments Corporation, Cognex Corporation, Baumer Group, Datalogic S.p.A., ISRA Vision, VITRONIC Machine Vision GmbH, Basler AG, Matrox Imaging, Allied Vision Technologies, LMI Technologies, Stemmer Imaging, IDS Imaging Development Systems, Opto Engineering, Pleora Technologies, JAI A/S, Vision Components
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What Is Covered In The Artificial Intelligence (AI) Visual Inspection System Global Market Report?
•Market Size Forecast: Examine the artificial intelligence (ai) visual inspection system market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) visual inspection system market for a structured understanding.
•Key Players Overview: Analyze major players in the artificial intelligence (ai) visual inspection system market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) visual inspection system market.
•Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) visual inspection system market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) visual inspection system market.
•Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) visual inspection system market.
•Competitive Landscape: Review strategic developments in the artificial intelligence (ai) visual inspection system market, including expansions, agreements, and new product launches.
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