Press release
United States Smart Manufacturing Industry Sector Growth 2025: Key Drivers, Future Growth, Industry Insights, Investments
Smart Manufacturing Industry
Japan Smart Manufacturing Market size in 2024: USD 14.66 B and projected to USD 42.98 B by 2031, with a CAGR of 18.2% (2025‐2032).
United States: Recent Industry Developments
✅ October 2025: GE Digital launched AI-powered predictive maintenance tools to optimize factory uptime and reduce operational costs.
✅ September 2025: Siemens introduced edge computing solutions for real-time process control in manufacturing plants.
✅ August 2025: Increased investments in digital twin technologies accelerated Industry 4.0 adoption across U.S. manufacturing sectors.
Japan: Recent Industry Developments
✅ October 2025: Fanuc developed advanced robotics systems integrated with IoT for enhanced automation in automotive manufacturing.
✅ September 2025: Mitsubishi Electric expanded smart factory solutions incorporating AI and big data analytics.
✅ August 2025: Collaborative projects focused on cybersecurity frameworks to protect connected manufacturing environments.
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Latest M&A Activity
Aptean completed the acquisition of Logility Supply Chain Solutions for $443 million, expanding its AI-powered supply chain planning suite that underpins smart manufacturing optimization.
Nano Dimension acquired Desktop Metal for $179 million, combining digital manufacturing capabilities in 3D-printed electronics and metals to offer integrated advanced manufacturing solutions for aerospace, automotive, and medical sectors.
Nexteer Automotive broke ground on its Asia-Pacific Smart Manufacturing Headquarters in Suzhou, China, focusing on digital twin technology, full process automation, and AI insights to elevate manufacturing efficiency and quality.
Key Players:
3D Systems Inc., ABB, Cisco, Cognex Corporation, Google, Intel Corporation, NVIDIA Corporation, Emerson Electric Co., General Electric, Honeywell International Inc., IBM Corporation, Oracle
Latest News and Market Insights
Deloitte's 2026 Manufacturing Industry Outlook highlights that 80% of surveyed executives plan to invest at least 20% of improvement budgets into smart manufacturing, with foundational investments in automation, data analytics, sensors, and cloud computing leading the way.
Industry studies report a significant shift toward agentic artificial intelligence capable of autonomous decision-making, reimagining production flexibility, quality control, and operational resilience across sectors.
HP and Würth Additive Group launched a digital production collaboration to enable on-demand, localized manufacturing through integrated digital inventory platforms enhancing smart factory agility.
Growth Forecast Projected:
The Global Smart Manufacturing Market is anticipated to rise at a considerable rate during the forecast period, between 2025 and 2032. In 2024, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
Research Process:
Both primary and secondary data sources have been used in the global Smart Manufacturing Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.
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Key Segments:
By Information Technology: (Enterprise Manufacturing Intelligence, Warehouse Management System, Plant Asset Management, Manufacturing Execution System, Human Machine Interface, Industrial Communications)
By Enabling Technology: (Industrial Internet of Things (IoT), Industrial 3D Printing, Artificial Intelligence (AI) in Manufacturing, Machine Condition Monitoring, Industrial Machine Vision, Industrial Cybersecurity, Others)
By Industry: (Oil & Gas, Food & Agriculture, Chemicals, Healthcare, Energy & Power, Metals & Mining, Pulp & Paper, Automotive, Aerospace, Others)
Regional Analysis for Market:
⇥ North America (U.S., Canada, Mexico)
⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
⇥ South America (Colombia, Brazil, Argentina, Rest of South America)
⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)
Benefits of the Report:
Chapter 1: Sets the stage by outlining the report's coverage, summarizing key market segments by region, product type, and application. Presents a snapshot of market sizes, growth potential across segments, and anticipated industry evolution both short and long term.
Chapter 2: Highlights pivotal market insights and uncovers the most significant emerging trends driving change within the industry.
Chapter 3: Offers an in-depth look at the competitive landscape among Smart Manufacturing producers, including revenue shares, strategic moves, and recent mergers and acquisitions.
Chapter 4: Presents comprehensive profiles of the market's key players, delving into details such as revenue, profit margins, product portfolios, and company milestones.
Chapters 5 & 6: Analyze Smart Manufacturing revenue at both regional and country levels, providing quantitative breakdowns of market sizes, growth opportunities, and development prospects worldwide.
Chapter 7: Focuses on different market segments by type, examining their individual sizes and potential, guiding readers toward high-impact, untapped market areas.
Chapter 8: Explores segmentation by application, evaluating industry growth potential in various downstream markets and pinpointing promising sectors for expansion.
Chapter 9: Provides a thorough review of the industry's supply chain mapping out both upstream and downstream activities.
Chapter 10: Concludes with a summary of the report's key findings and highlights the most critical takeaways for industry stakeholders.
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Product Launches and Technology Innovations
Allus AI announced a next-gen vision foundation model trained on over 1.5 billion industrial and manufacturing data points, delivering rapid, highly accurate visual identification and defect detection on factory floors, boosting productivity and reducing downtime.
Renishaw introduced the NxG Build Processor for metal additive manufacturing, integrating advanced laser control and modeling capabilities to streamline workflows and optimize multi-laser machine performance.
Continental's ContiLifeCycle plant integrated seven autonomous mobile robots (AMRs) to transport tires within the facility, improving ergonomic safety and operational efficiency.
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