This report describes and explains the AI in manufacturing market and covers 2020-2025, termed the historic period, and 2025-2030, 2035F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.
The global AI in manufacturing market reached a value of nearly $5.96 billion in 2025, having grown at a compound annual growth rate (CAGR) of 40.7% since 2020. The market is expected to grow from $5.96 billion in 2025 to $33.31 billion in 2030 at a rate of 41.1%. The market is then expected to grow at a CAGR of 37.1% from 2030 and reach $161.65 billion in 2035.
Growth in the historic period resulted from rising adoption of industry 4.0 and smart factory initiatives, rising labor cost pressures, government initiatives for digital manufacturing and pressure to reduce production costs. Factors that negatively affected growth in the historic period were high implementation costs and integration challenges with legacy manufacturing systems.
Going forward, demand for predictive maintenance and asset reliability, need for improved product quality and defect reduction, rising demand for supply chain optimization and demand forecasting and rising demand for production flexibility and mass customization will drive the growth. Factors that could hinder the growth of the AI in manufacturing market in the future include limited awareness and technical expertise among small and medium manufacturers, trade wars and tariffs and resistance to adoption in traditional manufacturing.
Market trends for the AI in manufacturing market include artificial intelligence and autonomous intelligence, industry 4.0 and intelligent manufacturing, autonomous systems, robotics and smart mobility, internet of things (IoT), smart infrastructure and connected ecosystems and digitalization, cloud, big data and cybersecurity.
The AI in manufacturing market is segmented by offering into hardware, software and services. The software market was the largest segment of the AI in manufacturing market segmented by offering, accounting for 46% or $2.74 billion of the total in 2025. Going forward, the services segment is expected to be the fastest-growing segment in the AI in manufacturing market segmented by offering, at a CAGR of 47.8% during 2025-2030.
The AI in manufacturing market is segmented by technology into machine learning, natural language processing, context-aware computing and computer vision. The machine learning was the largest segment of the AI in manufacturing market segmented by technology, accounting for 33.1% or $1.97 billion of the total in 2025. Going forward, the context-aware computing segment is expected to be the fastest-growing segment in the AI in manufacturing market segmented by technology, at a CAGR of 44% during 2025-2030.
The AI in manufacturing market is segmented by deployment into cloud and on-premise. The on-premise market was the largest segment of the AI in manufacturing market segmented by deployment, accounting for 55.5% or $3.3 billion of the total in 2025. Going forward, the cloud segment is expected to be the fastest-growing segment in the AI in manufacturing market segmented by deployment, at a CAGR of 48.4% during 2025-2030.
The AI in manufacturing market is segmented by application into predictive maintenance and machinery inspection, material movement, production planning, field services, quality control, cybersecurity, industrial robots and reclamation. The predictive maintenance market was the largest segment of the AI in manufacturing market segmented by application, accounting for 21.7% or $1.29 billion of the total in 2025. Going forward, the industrial robots segment is expected to be the fastest-growing segment in the AI in manufacturing market segmented by application, at a CAGR of 48.7% during 2025-2030.
The AI in manufacturing market is segmented by industry into automobile, energy and power, semiconductor and electronics, pharmaceutical, heavy metal and machine manufacturing, food and beverage and other industries. The automobile market was the largest segment of the AI in manufacturing market segmented by industry, accounting for 24.1% or $1.43 billion of the total in 2025. Going forward, the pharmaceutical segment is expected to be the fastest-growing segment in the AI in manufacturing market segmented by industry, at a CAGR of 49.5% during 2025-2030.
North America was the largest region in the AI in manufacturing market, accounting for 39.2% or $2.33 billion of the total in 2025. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the AI in manufacturing market will be Asia Pacific and South America where growth will be at CAGRs of 43.6% and 42.5% respectively. These will be followed by Western Europe and Eastern Europe where the markets are expected to grow at CAGRs of 41.2% and 41% respectively.
The global AI in manufacturing market is fairly concentrated, with a large number of small players operating in the market. The top 10 competitors in the market made up 36.12% of the total market in 2024. Siemens AG was the largest competitor with a 9.58% share of the market, followed by Microsoft Corporation with 7.61%, Amazon.com Inc. (AWS) with 5.14%, Nvidia Corporation with 4.16%, Rockwell Automation Inc with 2.61%, SAP SE with 1.93%, ABB Ltd with 1.84%, Honeywell International Inc with 1.20%, The International Business Machines Corporation with 1.16% and Schneider Electric SE with 0.89%.
The top opportunities in the AI in manufacturing market segmented by offering will arise in the adult diapers (briefs) segment, which will gain $2.01 billion of global annual sales by 2030. The top opportunities in the AI in manufacturing market segmented by technology will arise in the heavy absorbency segment, which will gain $2.37 billion of global annual sales by 2030. The top opportunities in the AI in manufacturing market segmented by deployment will arise in the stress urinary incontinence segment, which will gain $1.87 billion of global annual sales by 2030. The top opportunities in the AI in manufacturing market segmented by application will arise in the super absorbent polymers (SAP) segment, which will gain $2.04 billion of global annual sales by 2030. The top opportunities in the AI in manufacturing market segmented by end-user will arise in the homecare and individual consumers segment, which will gain $2.5 billion of global annual sales by 2030. The AI in manufacturing market size will gain the most in the USA at $1.34 billion.
Player-adopted strategies in the AI in manufacturing market include focus on strategic partnerships to expand business expertise and focus on strengthening operational capabilities through new product launches.
Market-trend-based strategies for the AI in manufacturing market include focus on generative AI platforms transforming smart factory decision-making, focus on agentic AI platforms accelerate autonomous decision-making in smart factories, focus on revolutionizing industrial efficiency with high-performance cloud computing platforms and focus on cloud-native AI platforms streamline workflows and boost operational efficiency.
To take advantage of the opportunities, the analyst recommends the AI in manufacturing companies to focus on generative AI manufacturing intelligence platforms, focus on agentic AI powered smart manufacturing platforms, focus on cloud based agentic AI computing platforms for manufacturing scale-up, focus on AI assisted cloud native automation platforms for manufacturing efficiency, focus on AI services segment for accelerated industrial adoption, focus on natural language processing for industrial communication in manufacturing AI, focus on cloud deployment for scalable AI manufacturing growth, expand in emerging markets, focus on multi channel distribution expansion for AI in manufacturing platforms, focus on value based and modular pricing strategies for AI in manufacturing, focus on digital first promotion strategies for AI in manufacturing, focus on ecosystem driven promotion and industry partnerships and focus on industrial robots for scalable manufacturing automation.
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The global AI in manufacturing market reached a value of nearly $5.96 billion in 2025, having grown at a compound annual growth rate (CAGR) of 40.7% since 2020. The market is expected to grow from $5.96 billion in 2025 to $33.31 billion in 2030 at a rate of 41.1%. The market is then expected to grow at a CAGR of 37.1% from 2030 and reach $161.65 billion in 2035.
Growth in the historic period resulted from rising adoption of industry 4.0 and smart factory initiatives, rising labor cost pressures, government initiatives for digital manufacturing and pressure to reduce production costs. Factors that negatively affected growth in the historic period were high implementation costs and integration challenges with legacy manufacturing systems.
Going forward, demand for predictive maintenance and asset reliability, need for improved product quality and defect reduction, rising demand for supply chain optimization and demand forecasting and rising demand for production flexibility and mass customization will drive the growth. Factors that could hinder the growth of the AI in manufacturing market in the future include limited awareness and technical expertise among small and medium manufacturers, trade wars and tariffs and resistance to adoption in traditional manufacturing.
Market trends for the AI in manufacturing market include artificial intelligence and autonomous intelligence, industry 4.0 and intelligent manufacturing, autonomous systems, robotics and smart mobility, internet of things (IoT), smart infrastructure and connected ecosystems and digitalization, cloud, big data and cybersecurity.
The AI in manufacturing market is segmented by offering into hardware, software and services. The software market was the largest segment of the AI in manufacturing market segmented by offering, accounting for 46% or $2.74 billion of the total in 2025. Going forward, the services segment is expected to be the fastest-growing segment in the AI in manufacturing market segmented by offering, at a CAGR of 47.8% during 2025-2030.
The AI in manufacturing market is segmented by technology into machine learning, natural language processing, context-aware computing and computer vision. The machine learning was the largest segment of the AI in manufacturing market segmented by technology, accounting for 33.1% or $1.97 billion of the total in 2025. Going forward, the context-aware computing segment is expected to be the fastest-growing segment in the AI in manufacturing market segmented by technology, at a CAGR of 44% during 2025-2030.
The AI in manufacturing market is segmented by deployment into cloud and on-premise. The on-premise market was the largest segment of the AI in manufacturing market segmented by deployment, accounting for 55.5% or $3.3 billion of the total in 2025. Going forward, the cloud segment is expected to be the fastest-growing segment in the AI in manufacturing market segmented by deployment, at a CAGR of 48.4% during 2025-2030.
The AI in manufacturing market is segmented by application into predictive maintenance and machinery inspection, material movement, production planning, field services, quality control, cybersecurity, industrial robots and reclamation. The predictive maintenance market was the largest segment of the AI in manufacturing market segmented by application, accounting for 21.7% or $1.29 billion of the total in 2025. Going forward, the industrial robots segment is expected to be the fastest-growing segment in the AI in manufacturing market segmented by application, at a CAGR of 48.7% during 2025-2030.
The AI in manufacturing market is segmented by industry into automobile, energy and power, semiconductor and electronics, pharmaceutical, heavy metal and machine manufacturing, food and beverage and other industries. The automobile market was the largest segment of the AI in manufacturing market segmented by industry, accounting for 24.1% or $1.43 billion of the total in 2025. Going forward, the pharmaceutical segment is expected to be the fastest-growing segment in the AI in manufacturing market segmented by industry, at a CAGR of 49.5% during 2025-2030.
North America was the largest region in the AI in manufacturing market, accounting for 39.2% or $2.33 billion of the total in 2025. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the AI in manufacturing market will be Asia Pacific and South America where growth will be at CAGRs of 43.6% and 42.5% respectively. These will be followed by Western Europe and Eastern Europe where the markets are expected to grow at CAGRs of 41.2% and 41% respectively.
The global AI in manufacturing market is fairly concentrated, with a large number of small players operating in the market. The top 10 competitors in the market made up 36.12% of the total market in 2024. Siemens AG was the largest competitor with a 9.58% share of the market, followed by Microsoft Corporation with 7.61%, Amazon.com Inc. (AWS) with 5.14%, Nvidia Corporation with 4.16%, Rockwell Automation Inc with 2.61%, SAP SE with 1.93%, ABB Ltd with 1.84%, Honeywell International Inc with 1.20%, The International Business Machines Corporation with 1.16% and Schneider Electric SE with 0.89%.
The top opportunities in the AI in manufacturing market segmented by offering will arise in the adult diapers (briefs) segment, which will gain $2.01 billion of global annual sales by 2030. The top opportunities in the AI in manufacturing market segmented by technology will arise in the heavy absorbency segment, which will gain $2.37 billion of global annual sales by 2030. The top opportunities in the AI in manufacturing market segmented by deployment will arise in the stress urinary incontinence segment, which will gain $1.87 billion of global annual sales by 2030. The top opportunities in the AI in manufacturing market segmented by application will arise in the super absorbent polymers (SAP) segment, which will gain $2.04 billion of global annual sales by 2030. The top opportunities in the AI in manufacturing market segmented by end-user will arise in the homecare and individual consumers segment, which will gain $2.5 billion of global annual sales by 2030. The AI in manufacturing market size will gain the most in the USA at $1.34 billion.
Player-adopted strategies in the AI in manufacturing market include focus on strategic partnerships to expand business expertise and focus on strengthening operational capabilities through new product launches.
Market-trend-based strategies for the AI in manufacturing market include focus on generative AI platforms transforming smart factory decision-making, focus on agentic AI platforms accelerate autonomous decision-making in smart factories, focus on revolutionizing industrial efficiency with high-performance cloud computing platforms and focus on cloud-native AI platforms streamline workflows and boost operational efficiency.
To take advantage of the opportunities, the analyst recommends the AI in manufacturing companies to focus on generative AI manufacturing intelligence platforms, focus on agentic AI powered smart manufacturing platforms, focus on cloud based agentic AI computing platforms for manufacturing scale-up, focus on AI assisted cloud native automation platforms for manufacturing efficiency, focus on AI services segment for accelerated industrial adoption, focus on natural language processing for industrial communication in manufacturing AI, focus on cloud deployment for scalable AI manufacturing growth, expand in emerging markets, focus on multi channel distribution expansion for AI in manufacturing platforms, focus on value based and modular pricing strategies for AI in manufacturing, focus on digital first promotion strategies for AI in manufacturing, focus on ecosystem driven promotion and industry partnerships and focus on industrial robots for scalable manufacturing automation.
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Table of Contents
1 Executive Summary
6 Market Characteristics
7 Global AI in Manufacturing Market Attractiveness Scoring and Analysis
8 Major Market Trends
9 Global AI in Manufacturing Growth Analysis and Strategic Analysis Framework
10 Global AI in Manufacturing Market Size and Growth Analysis
11 Global AI in Manufacturing Total Addressable Market (TAM) Analysis
12 Global AI in Manufacturing Market Segmentation
13 AI in Manufacturing Market, Regional and Country Analysis
14 Asia-Pacific Market
15 South East Asia Market
16 Western Europe Market
17 Eastern Europe Market
18 North America Market
19 South America Market
20 Middle East Market
21 Africa Market
22 Competitive Landscape and Company Profiles
23 Other Major and Innovative Companies
26 AI in Manufacturing Market - Company Scoring Matrix
28 Key Mergers and Acquisitions
29 Recent Developments in the AI in Manufacturing Market
30 Opportunities and Strategies
31 AI in Manufacturing Market, Conclusions and Recommendations
32 Appendix
Executive Summary
AI In Manufacturing Global Market Opportunities and Strategies to 2035 provides the strategists; marketers and senior management with the critical information they need to assess the global AI in manufacturing market as it emerges from the COVID-19 shut down.Reasons to Purchase
- Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
- Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market research findings.
- Benchmark performance against key competitors.
- Utilize the relationships between key data sets for superior strategizing.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis.
Description
Where is the largest and fastest-growing market for AI in manufacturing? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The AI in manufacturing market global report answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market’s history and forecasts market growth by geography. It places the market within the context of the wider AI in manufacturing; and compares it with other markets.
The report covers the following chapters
- Introduction and Market Characteristics - Brief introduction to the segmentations covered in the market, definitions and explanations about the segments, key products and supply chain.
- Key Trends - Highlights the major trends shaping the global market. This section also highlights likely future technologies and developments in the market.
- Growth Analysis and Strategic Analysis Framework - Analysis on PESTEL, end use industries, market growth rate, global historic (2020-2025) and forecast (2025-2030, 2035F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods, forecast growth contributors and total addressable market (TAM).
- Regional and Country Analysis - Historic (2020-2025) and forecast (2025-2030, 2035F) market values and growth and market share comparison by region and country.
- Market Segmentation - Contains the market values (2020-2025) (2025-2030, 2035F) and analysis for each segment by offering, by technology, by deployment, by application and by industry in the market. Historic (2020-2025) and forecast (2025-2030) and (2030-2035) market values and growth and market share comparison by region market.
- Regional Market Size and Growth - Regional market size (2025), historic (2020-2025) and forecast (2025-2030, 2035F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape - Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major and Innovative Companies Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking - Briefs on the financials comparison between major players in the market.
- Competitive Dashboard - Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions - Information on recent mergers and acquisitions in the market is covered in the report. This section gives key financial details of mergers and acquisitions which have shaped the market in recent years.
- Recent Developments Information on recent developments in the market covered in the report.
-Market Opportunities and Strategies Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions and Recommendations - This section includes recommendations for AI in manufacturing providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix - This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
1) By Offering: Hardware; Software; Services
2) By Technology: Machine Learning; Natural Language Processing; Context-Aware Computing; Computer Vision
3) By Deployment: Cloud; On-Premise
4) By Application: Predictive Maintenance and Machinery Inspection; Material Movement; Production Planning; Field Services; Quality Control; Cybersecurity; Industrial Robots; Reclamation
5) By Industry: Automobile; Energy and Power; Semiconductor and Electronics; Pharmaceutical; Heavy Metal and Machine Manufacturing; Food and Beverage; Other Industries
Companies Mentioned: Siemens AG; Microsoft Corporation; Amazon.com Inc. (AWS); Nvidia Corporation; Rockwell Automation Inc.
Countries: China; Australia; India; Indonesia; Taiwan; Japan; South Korea; USA; Germany; Italy; Spain; UK; France; Russia
Regions: Asia-Pacific; Western Europe; South East Asia; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; AI in manufacturing indicators comparison.
Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Companies Mentioned
- Siemens AG
- Microsoft Corporation
- Amazon.com Inc. (AWS)
- Nvidia Corporation
- Rockwell Automation Inc.
- SAP SE
- ABB Ltd.
- Honeywell International Inc.
- The International Business Machines Corporation
- Schneider Electric SE
- OFS
- HCLTech
- BOE Technology Group
- Huawei Technologies Co., Ltd.
- Alibaba Group Holding Limited
- Baidu, Inc.
- SenseTime Group Limited
- iFlytek Co., Ltd.
- Hikvision Digital Technology Co., Ltd.
- DJI Technology Co., Ltd.
- Fanuc Corporation
- Mitsubishi Electric Corporation
- Hitachi, Ltd.
- Toyota Motor Corporation
- Omron Corporation
- Keyence Corporation
- SK Group
- Kolmar
- Intel Corporation
- Samsung Electronics Co. Ltd.
- LG Electronics Inc.
- Hyundai Motor Company
- SK hynix Inc.
- Pegatron Corporation
- Kulicke & Soffa Industries
- FPT Software
- FPT Corporation
- ST Engineering Ltd.
- Accenture plc.
- Robert Bosch GmbH
- Beckhoff Automation GmbH
- Phoenix Contact GmbH & Co. KG
- Hilscher Gesellschaft für Systemautomation GmbH
- IntelliAM AI plc
- Persona AI
- MicroAI
- Altair Engineering Inc.
- Vention Inc.
- OpenText Corporation
- Kinaxis Inc.
- Element AI Inc.
- Scale AI
- D-Wave Systems Inc.
- xFusion Digital Technologies
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 381 |
| Published | June 2026 |
| Forecast Period | 2025 - 2035 |
| Estimated Market Value ( USD | $ 5.96 Billion |
| Forecasted Market Value ( USD | $ 161.65 Billion |
| Compound Annual Growth Rate | 39.1% |
| Regions Covered | Global |
| No. of Companies Mentioned | 54 |
