Production planning market seen reaching $13.08B by 2030

The global production planning market is projected to rise from $8.62 billion in 2026 to $13.08 billion by 2030, according to The Business Research Company. Growth is being driven by IoT, AI-powered optimization, smart factories and cloud-based planning tools, with North America leading today and Asia-Pacific expected to grow fastest.

Why it matters: - Production planning software helps manufacturers schedule materials, labor and capacity more efficiently. - The market’s growth signals broader investment in smarter factories, tighter supply chains and lower operating waste. - IoT and AI adoption are turning production planning into a real-time decision tool rather than a manual back-office function.

What happened: - The Business Research Company said the production planning market will grow from $7.79 billion in 2025 to $8.62 billion in 2026. - The firm projects the market will reach $13.08 billion by 2030. - The forecast implies a 10.7% CAGR from 2025 to 2026 and an 11.0% CAGR through 2030. - The report frames production planning as a key manufacturing process for allocating materials, labor and production capacity to meet demand.

The details: - The company links recent market growth to manual production scheduling, wider ERP use in manufacturing, fragmented supply-chain coordination, limited shop-floor digitization and lean manufacturing practices. - Future growth is expected to come from AI-powered production optimization, smart factory rollouts, IoT-enabled manufacturing systems, more resilient supply chains and cloud-based planning tools. - Key trends highlighted in the report include AI-driven scheduling, digital twin technology, cloud-based manufacturing resource planning platforms, predictive analytics for demand and capacity forecasting, and real-time monitoring with adaptive shop-floor management. - The report says production planning improves workflow coordination across procurement, manufacturing and supply chain operations, while reducing bottlenecks, delivery delays, costs and waste. - One growth driver is the expanding use of IoT in smart manufacturing. - IoT connects devices, machines and systems through sensors and software, enabling real-time data collection and exchange. - The company says production planning benefits from real-time scheduling, resource optimization and better decisions based on continuous data streams. - The GSM Association reported in June 2023 that global IoT connections rose to 15.1 billion from 13.2 billion in 2022. - North America held the largest share of the production planning market in 2025. - Asia-Pacific is forecast to post the fastest growth in the coming years. - The research also covers South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa. - The company said its 2026 reports add market attractiveness scoring, TAM analysis, company scoring matrices, Excel-based forecasting dashboards, market hotspot infographics, and updated graphics and tables. - The report is available as a full market report, and a free sample is also offered.

Between the lines: - The forecast suggests manufacturers are moving from static planning toward systems that can respond faster to disruptions and demand swings. - North America’s lead points to mature adoption, while Asia-Pacific’s faster growth hints at a broader buildout of digital manufacturing infrastructure. - The emphasis on IoT, AI and cloud tools shows production planning is becoming part of the industrial software stack tied to factory automation and resilience.

What's next: - More manufacturers are likely to adopt AI-based scheduling, predictive analytics and cloud planning platforms as connected equipment becomes more common. - The market’s pace will likely depend on how quickly factories digitize shop floors and integrate planning tools with supply-chain systems. - The Business Research Company’s regional and technology forecasts suggest the strongest near-term demand will come from manufacturers seeking more visibility and flexibility in operations.