Global Artificial Intelligence in Manufacturing Competitive Landscape Professional Research Report 2025

Research Summary

Artificial Intelligence (AI) in manufacturing refers to the use of machine learning algorithms and advanced analytics to improve automation, production efficiency, and quality control. AI-powered systems can analyze data from sensors, cameras, and other sources to optimize processes and predict potential issues before they occur. Manufacturing companies can leverage AI to streamline their operations, reduce waste, and increase output while maintaining product consistency and quality. AI can also help with predictive maintenance, allowing manufacturers to avoid costly machine downtime and minimize production disruptions. Overall, AI in manufacturing is a transformative technology that offers significant benefits to companies looking to stay competitive in a rapidly evolving industry.

According to DIResearch's in-depth investigation and research, the global Artificial Intelligence in Manufacturing market size was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.

The major global  manufacturers of Artificial Intelligence in Manufacturing include IBM, SAP|SAS, Siemens, Oracle, Microsoft, Mitsubishi Electric Corporation, Huawei, General Electric Company, Intel, Amazon Web Services, Google, Cisco Systems, PROGRESS DataRPM, Salesforce, NVIDIA, Autodesk etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.

This report studies the market size, price trends and future development prospects of Artificial Intelligence in Manufacturing. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Artificial Intelligence in Manufacturing market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.

The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Artificial Intelligence in Manufacturing market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Artificial Intelligence in Manufacturing industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.  

The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.

Global Key Manufacturers of Artificial Intelligence in Manufacturing Include:

IBM

SAP|SAS

Siemens

Oracle

Microsoft

Mitsubishi Electric Corporation

Huawei

General Electric Company

Intel

Amazon Web Services

Google

Cisco Systems

PROGRESS DataRPM

Salesforce

NVIDIA

Autodesk

Artificial Intelligence in Manufacturing Product Segment Include:

PLC

SCADA|HMI

MES

ERP

Artificial Intelligence in Manufacturing Product Application Include:

Ferrous Metallurgy

Non-ferrous Metallurgy

Mining

Oil and Gas

Chemical

Others

Chapter Scope

Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends

Chapter 2: Global Artificial Intelligence in Manufacturing Industry PESTEL Analysis

Chapter 3: Global Artificial Intelligence in Manufacturing Industry Porter’s Five Forces Analysis

Chapter 4: Global Artificial Intelligence in Manufacturing Major Regional Market Size and Forecast Analysis

Chapter 5: Global Artificial Intelligence in Manufacturing Market Size and Forecast by Type and Application Analysis

Chapter 6: North America Passenger Artificial Intelligence in Manufacturing Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 7: Europe Artificial Intelligence in Manufacturing Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 8: China Artificial Intelligence in Manufacturing Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 9: APAC (Excl. China) Artificial Intelligence in Manufacturing Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 10: Latin America Artificial Intelligence in Manufacturing Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 11: Middle East and Africa Artificial Intelligence in Manufacturing Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 12: Global Artificial Intelligence in Manufacturing Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)

Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)

Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers

Chapter 15: Research Findings and Conclusion

Chapter 16: Methodology and Data Sources