AI in Manufacturing Market to Reach $155 Billion by 2030, Driven by Predictive Maintenance, Machine Learning, and Smart Factories Across Europe and Global Industries
The global artificial intelligence in manufacturing market is projected to grow at a compound annual growth rate (CAGR) of 35.3%, rising from USD 34.18 billion in 2025 to USD 155.04 billion by 2030, according to a new report by ResearchAndMarkets.com. The study, titled "Artificial Intelligence in Manufacturing Market by Processor (MPUs, GPUs, FPGA, ASICs), Software (On-premises, Cloud), Technology (Machine Learning, NLP, Context-aware Computing, Computer Vision, Generative AI), Application – Global Forecast to 2030," offers comprehensive insights into the evolving landscape of AI adoption across manufacturing industries. This rapid expansion is fueled by the increasing integration of AI technologies to optimize production workflows, enhance real-time decision-making, and improve operational efficiency. Key drivers include the shift toward smart factories, the demand for predictive maintenance, and the need for intelligent automation to meet rising standards of quality, sustainability, and customization. In 2024, the predictive maintenance segment held the largest market share, driven by manufacturers’ efforts to minimize equipment downtime and prevent costly failures. AI-powered systems analyze real-time sensor data to detect anomalies and forecast maintenance needs, enabling proactive interventions. Industries such as automotive, aerospace, energy, and semiconductor manufacturing have heavily invested in these solutions, achieving significant gains in equipment uptime and asset longevity. Machine learning emerged as the dominant technology segment, underpinning a wide range of AI applications including quality control, process optimization, and demand forecasting. Its ability to learn from vast operational datasets and adapt over time makes it essential for dynamic manufacturing environments. Integration with industrial IoT platforms, cloud computing, and edge devices has further accelerated its adoption across both discrete and process manufacturing. Europe is expected to experience substantial growth during the forecast period, supported by strong government initiatives, robust digital infrastructure, and a skilled workforce. Countries across the region are advancing industrial modernization through AI and smart factory programs, aligning technological innovation with sustainability goals and regulatory compliance. Key players in the market include Siemens, NVIDIA, IBM, Intel, GE Vernova, Google, Microsoft, Amazon Web Services, Rockwell Automation, ABB, Honeywell, Cisco, SAP, Mitsubishi Electric, Oracle, Dassault Systèmes, and several innovative startups like Bright Machines and Zebra Technologies. These companies are leading advancements in AI-powered robotics, digital twins, intelligent quality systems, and cloud-based analytics. The report provides detailed analysis of market dynamics, value chain structure, competitive landscape, and emerging trends. It also includes case studies and forward-looking insights into the future of AI in manufacturing, helping businesses develop effective go-to-market strategies and capitalize on growth opportunities. With the convergence of AI, IoT, and cloud technologies, manufacturing is undergoing a fundamental transformation. As companies seek to improve agility, reduce costs, and maintain global competitiveness, AI is becoming a core enabler of next-generation industrial operations. The report serves as a vital resource for industry leaders, investors, and new entrants navigating this fast-evolving sector.
