Industrial AI Software Market Trends and Forecast
The future of the global industrial AI software market looks promising with opportunities in the glass manufacturing, semiconductor manufacturing, automotive, machinery, chemical, oil & gas, and packaging markets. The global industrial AI software market is expected to grow with a CAGR of 30.4% from 2024 to 2030. The major drivers for this market are increasing adoption of predictive maintenance and quality management solutions in manufacturing processes, growth in industrial IOT applications, and rising demand for operational efficiency through AI-driven process optimization and automation.
• Lucintel forecasts that on-cloud is expected to witness higher growth over the forecast period.
• Within this market, glass manufacturing is expected to witness the highest growth.
• APAC is expected to witness the highest growth over the forecast period.
Country Wise Outlook for the Industrial AI Software Market
• United States – IBM announced Watson AI for Industries, targeting AI-driven solutions for manufacturing and logistics sectors, supported by government grants for AI research and development.
• China – Alibaba Cloud launched AI manufacturing platform, integrating AI software for smart factories, aligned with national goals for AI adoption in manufacturing.
• Germany – Siemens introduced MindSphere Industrial AI, aiming to optimize industrial processes with AI software, backed by government incentives for AI adoption in manufacturing.
• Japan – Toshiba unveiled AI-based predictive maintenance software for industrial equipment, supported by government subsidies for AI technology deployment in manufacturing sectors.
A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.
Industrial AI Software Market by Segment
The study includes a forecast for the global industrial AI software market by type, application, and region.
Industrial AI Software Market by Type [Value from 2018 to 2030]:
• On-Cloud
• On-Premise
Industrial AI Software Market by Application [Value from 2018 to 2030]:
• Glass Manufacturing
• Semiconductor Manufacturing
• Automotive
• Machinery
• Chemicals
• Oil & Gas
• Packaging
• Others
Industrial AI Software Market by Region [Value from 2018 to 2030]:
• North America
• Europe
• Asia Pacific
• The Rest of the World
List of Industrial AI Software Companies
Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies industrial AI software companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the industrial AI software companies profiled in this report include-
• Siemens
• IBM
• Microsoft
• Cisco Systems
• General Electric Company
• Rockwell
• Automation
• Oracle Corporation
• SAP
• Intel Corporation
Recent Development in the Industrial AI Software Market
• IBM: IBM launched Watson AI for Industries, integrating AI software to optimize manufacturing and logistics operations with predictive analytics and automation.
• Siemens: Siemens introduced MindSphere Industrial AI, enabling predictive maintenance and process optimization through AI-powered analytics on its industrial IoT platform.
• Alibaba Cloud: Alibaba Cloud developed an AI manufacturing platform, offering AI software solutions for smart factories to enhance operational efficiency and quality control.
• Toshiba: Toshiba launched AI-based predictive maintenance software for industrial equipment, leveraging machine learning to improve equipment reliability and reduce downtime.
Features of the Global Industrial AI Software Market
Market Size Estimates: Industrial AI software market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: Industrial AI software market size by type, application, and region in terms of value ($B).
Regional Analysis: Industrial AI software market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the industrial AI software market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the industrial AI software market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Q1. What is the growth forecast for industrial AI software market?
Answer: The global industrial AI software market is expected to grow with a CAGR of 30.4% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the industrial AI software market?
Answer: The major drivers for this market are increasing adoption of predictive maintenance and quality management solutions in manufacturing processes, growth in industrial IOT applications and rising demand for operational efficiency through AI-driven process optimization and automation.
Q3. What are the major segments for industrial AI software market?
Answer: The future of the industrial AI software market looks promising with opportunities in the glass manufacturing, semiconductor manufacturing, automotive, machinery, chemical, oil & gas, and packaging markets.
Q4. Who are the key industrial AI software market companies?
Answer: Some of the key industrial AI software companies are as follows:
• Siemens
• IBM
• Microsoft
• Cisco Systems
• General Electric Company
• Rockwell
• Automation
• Oracle Corporation
• SAP
• Intel Corporation
Q5. Which industrial AI software market segment will be the largest in future?
Answer: Lucintel forecasts that on-cloud is expected to witness higher growth over the forecast period.
Q6. In industrial AI software market, which region is expected to be the largest in next 5 years?
Answer: APAC is expected to witness the highest growth over the forecast period.
Q7. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.
This report answers following 11 key questions:
Q.1. What are some of the most promising, high-growth opportunities for the industrial AI software market by type (on-cloud and on-premise), application (glass manufacturing, semiconductor manufacturing, automotive, machinery, chemicals, oil & gas, packaging, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?
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