Manufacturing Analytics Market to Reach $24.0 Billion by 2035

Manufacturing analytics market was valued at $8.5 billion in 2025 and is projected to reach $24.0 billion by 2035, registering a CAGR of 10.9% from 2026 to 2035. Market growth is supported by manufacturers' increasing use of operational data to improve production efficiency, equipment reliability, quality control, and resource utilization. According to the United Nations Industrial Development Organization (UNIDO), global manufacturing value added increased by 2.9% in 2024, reflecting continued industrial activity and demand for production capabilities. As manufacturing operations become more connected, analytics solutions are increasingly used to interpret machine data, identify process inefficiencies, and support decisions across production lines and facilities. Predictive maintenance is one application of this shift: in March 2025, Siemens expanded its Industrial Copilot with generative-AI capabilities for Senseye Predictive Maintenance, covering maintenance activities from repair and prevention to prediction and optimization. Siemens reported that initial pilot applications saved an average of 25% of reactive maintenance time, illustrating the potential operational benefits of AI-assisted maintenance.

Browse the full report description of “Manufacturing Analytics Market Size, Share & Trends Analysis Report, By Deployment (Cloud, On-Premises, Hybrid), By Application (Predictive Maintenance, Quality Management, Production Optimization, Supply Chain & Inventory Management, Energy Management, Asset Performance Management, Demand Forecasting, Others), By End-Use Industry (Automotive, Electronics & Semiconductors, Food & Beverage, Pharmaceuticals, Chemicals, Aerospace & Defense, Energy & Utilities, Industrial Machinery, Consumer Goods, Other Industries), Forecast Period (2026-2035)” at https://www.omrglobal.com/industry-reports/manufacturing-analytics-market-size-share

Quality Management Segment to Expand with Data-Driven Manufacturing

Quality management segment is expected to gain importance as manufacturers use analytics to identify defects, detect process variation, investigate production deviations, and improve consistency across manufacturing lines. These applications combine production records, inspection results, machine parameters, and process data to identify recurring quality issues and support root-cause analysis. Analytics can also help quality teams monitor performance across multiple facilities and detect deviations earlier in the production cycle, supporting more consistent manufacturing processes in industries such as electronics, pharmaceuticals, automotive, chemicals, and industrial machinery.

Recent manufacturing activity highlights the scale and complexity of production environments in which these solutions can be applied. UNIDO reported that global manufacturing production increased by 1.5% quarter-on-quarter in Q2 2026, while production in higher-technology industries grew by 2.0%. Manufacturing exports rose by 6.1% during the same quarter, and higher-technology exports increased by 7.1%. These figures indicate continued activity in technology-intensive production and trade, although they do not directly measure demand for quality analytics software. As manufacturers manage increasingly complex product specifications and production processes, analytics solutions can support inspection-data analysis, process monitoring, defect-pattern identification, and corrective-action planning.

Recent Developments

• In September 2025, Siemens AG collaborated with Snowflake to connect shop-floor OT data from Siemens Industrial Edge with IT data in the Snowflake AI Data Cloud, enabling manufacturers to apply AI-driven analytics for machine performance, production optimization, quality improvement, and operational efficiency across multiple facilities.

• In June 2025, Siemens AG expanded its partnership with NVIDIA Corporation to integrate AI and accelerated computing with the Siemens Xcelerator platform, enabling manufacturers to deploy AI-powered solutions for quality inspection, predictive maintenance, production optimization, and real-time shop-floor analytics.

Market Coverage

• The market numbers available for 2025-2035
• Base year- 2025
• Forecast period- 2026-2035
• Segment Covered-
• By Deployment
• By Application
• By End-Use Industry
• Regions Covered-
• North America
• Europe
• Asia-Pacific
• Rest of the World
• Competitive Landscape – Siemens AG, Rockwell Automation, Inc., Schneider Electric SE (AVEVA), Honeywell International Inc., ABB Ltd., among others.

Key questions addressed by the report.

• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who leads the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?

Manufacturing Analytics Market Report Segment

By Deployment

• Cloud
• On-Premises
• Hybrid

By Application

• Predictive Maintenance
• Quality Management
• Production Optimization
• Supply Chain & Inventory Management
• Energy Management
• Asset Performance Management
• Demand Forecasting
• Others

By End-Use Industry

• Automotive
• Electronics & Semiconductors
• Food & Beverage
• Pharmaceuticals
• Chemicals
• Aerospace & Defense
• Energy & Utilities
• Industrial Machinery
• Consumer Goods
• Other Industries

Manufacturing Analytics Market Report Segment by Region

North America

• United States
• Canada

Europe

• UK
• Germany
• Italy
• Spain
• France
• Russia
• Rest of Europe

Asia-Pacific

• China
• India
• Japan
• South Korea
• Australia and New Zealand
• ASEAN Economies
• Rest of Asia-Pacific

Rest of the World

• Latin America
• Middle East & Africa

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