Artificial Intelligence in Manufacturing Market

Artificial Intelligence in Manufacturing Market - Global Growth Opportunities 2019-2030

Global Artificial Intelligence in Manufacturing is segmented by Application (Manufacturing, Automotive, Electronics, Consumer Goods, Aerospace), Type (AI-driven Robotics, Predictive Maintenance, AI-enabled Production, AI for Quality Control, AI for Supply Chain Optimization) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

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INDUSTRY OVERVIEW

The Artificial Intelligence in Manufacturing market is experiencing robust growth, projected to achieve a compound annual growth rate CAGR of 15.9% during the forecast period. Valued at 10.2Billion, the market is expected to reach 28.5Billion by 2030, with a year-on-year growth rate of . This upward trajectory is driven by factors such as evolving consumer preferences, technological advancements, and increased investment in innovation, positioning the market for significant expansion in the coming years. Companies should strategically focus on enhancing their offerings and exploring new market opportunities to capitalize on this growth potential.

Artificial Intelligence in Manufacturing Market Size in (USD Billion) CAGR Growth Rate 15.9%

Study Period 2019-2030
Market Size (2023): 10.2Billion
Market Size (2030): 28.5Billion
CAGR (2023 - 2030): 15.9%
Fastest Growing Region North America
Dominating Region North America
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The aArtificial Intelligence in Manufacturing market focuses on the integration of AI technologies to improve manufacturing processes. AI applications in manufacturing include predictive maintenance, quality control, automation of production, and supply chain optimization. AI helps manufacturers improve efficiency, reduce downtime, and ensure product quality. With the increasing need for smart manufacturing, companies are turning to AI to optimize operations, reduce costs, and enhance productivity. AI-powered robots, machines, and software are transforming industries like automotive and electronics.



Regulatory Framework

The Information and Communications Technology (ICT) industry is primarily regulated by the Federal Communications Commission (FCC) in the United States, along with other national and international regulatory bodies. The FCC oversees the allocation of spectrum, ensures compliance with telecommunications laws, and fosters fair competition within the sector. It also establishes guidelines for data privacy, cybersecurity, and service accessibility, which are crucial for maintaining industry standards and protecting consumer interests.
Globally, various regulatory agencies, such as the European Telecommunications Standards Institute (ETSI) and the International Telecommunication Union (ITU), play significant roles in standardizing practices and facilitating international cooperation. These bodies work together to create a cohesive regulatory framework that addresses emerging technologies, cross-border data flow, and infrastructure development. Their regulations aim to ensure the ICT industry's growth is both innovative and compliant with global standards, promoting a secure and competitive market environment.
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Key Highlights

•    The Artificial Intelligence in Manufacturing is growing at a CAGR of 15.9% during the forecasted period of 2019 to 2030
•    Year on Year growth for the market is
•    Based on type, the market is bifurcated into AI-driven Robotics, Predictive Maintenance, AI-enabled Production, AI for Quality Control
•    Based on application, the market is segmented into Manufacturing, Automotive, Electronics, Consumer Goods, Aerospace
•    Global Import Export in terms of K Tons, K Units, and Metric Tons will be provided if Applicable based on industry best practice

Market Segmentation Analysis

Segmentation by Type


  • AI-driven Robotics
  • Predictive Maintenance
  • AI-enabled Production
  • AI for Quality Control

Artificial Intelligence in Manufacturing Market Segmentation by Type

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Segmentation by Application
 
  • Manufacturing
  • Automotive
  • Electronics
  • Consumer Goods
  • Aerospace

Artificial Intelligence in Manufacturing Market Segmentation by Application

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Key Players

Several key players in the Artificial Intelligence in Manufacturing market are strategically focusing on expanding their operations in developing regions to capture a larger market share, particularly as the year-on-year growth rate for the market stands at . The companies featured in this profile were selected based on insights from primary experts, evaluating their market penetration, product offerings, and geographical reach. By targeting emerging markets, these companies aim to leverage new opportunities, enhance their competitive advantage, and drive revenue growth. This approach not only aligns with their overall business objectives but also positions them to respond effectively to the evolving demands of consumers in these regions.
  • IBM
  • Microsoft
  • Siemens
  • Rockwell Automation
  • ABB

Artificial Intelligence in Manufacturing Market Segmentation by Players

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Research Methodology

At HTF Market Intelligence, we pride ourselves on delivering comprehensive market research that combines both secondary and primary methodologies. Our secondary research involves rigorous analysis of existing data sources, such as industry reports, market databases, and competitive landscapes, to provide a robust foundation of market knowledge. This is complemented by our primary research services, where we gather firsthand data through surveys, interviews, and focus groups tailored specifically to your business needs. By integrating these approaches, we offer a thorough understanding of market trends, consumer behavior, and competitive dynamics, enabling you to make well-informed strategic decisions. We would welcome the opportunity to discuss how our research expertise can support your business objectives.

Market Dynamics


Market dynamics refer to the forces that influence the supply and demand of products and services within a market. These forces include factors such as consumer preferences, technological advancements, regulatory changes, economic conditions, and competitive actions. Understanding market dynamics is crucial for businesses as it helps them anticipate changes, identify opportunities, and mitigate risks.
By analyzing market dynamics, companies can better understand market trends, predict potential shifts, and develop strategic responses. This analysis enables businesses to align their product offerings, pricing strategies, and marketing efforts with evolving market conditions, ultimately leading to more informed decision-making and a stronger competitive position in the marketplace.

Market Driver

  • Opportunities In Industry 4.0
  • AI-driven Quality Control Solutions


Market Trend

  • Increased use of AI for predictive analytics
  • demand for smart factories

Opportunity

  • Opportunities In Industry 4.0
  • AI-driven Quality Control Solutions


Challenge

  • High Implementation Costs
  • Lack Of Skilled Workforce
  • Integration Challenges



Regional Outlook

The North America Region holds the largest market share in 2023 and is expected to grow at a good CAGR. The North America Region is the fastest-growing region due to increasing development and disposable income.


North America remains a leader, driven by innovation hubs like Silicon Valley and a strong demand for advanced technologies such as AI and cloud computing. Europe is characterized by robust regulatory frameworks and significant investments in digital transformation across sectors. Asia-Pacific is experiencing rapid growth, led by major markets like China and India, where increasing digital adoption and governmental initiatives are propelling ICT advancements.


The Middle East and Africa are witnessing steady expansion, driven by infrastructure development and growing internet penetration. Latin America and South America present emerging opportunities, with rising investments in digital infrastructure, though challenges like economic instability can impact growth. These regional differences highlight the need for tailored strategies in the global ICT market.
 

Regions
  • North America
  • LATAM
  • West Europe
  • Central & Eastern Europe
  • Northern Europe
  • Southern Europe
  • East Asia
  • Southeast Asia
  • South Asia
  • Central Asia
  • Oceania
  • MEA
Fastest Growing Region
North America
North America hold biggest share in Artificial Intelligence in Manufacturing Market
Dominating Region
North America
North America hold biggest share in Artificial Intelligence in Manufacturing Market

 

Report Features

Details

Base Year

2023

Based Year Market Size (2023)

10.2Billion

Historical Period Market Size (2019)

5.8Billion

CAGR (2023 to 2030)

15.9%

Forecast Period

2025 to 2030

Forecasted Period Market Size (2030)

28.5Billion 

Scope of the Report

AI-driven Robotics, Predictive Maintenance, AI-enabled Production, AI for Quality Control, Manufacturing, Automotive, Electronics, Consumer Goods, Aerospace

Regions Covered

North America, Europe, Asia Pacific, South America, and MEA

Year on Year Growth


Companies Covered

IBM, Microsoft, Siemens, Rockwell Automation, ABB

Customization Scope

15% Free Customization (For EG)

Delivery Format

PDF and Excel through Email

 

 

Artificial Intelligence in Manufacturing - Table of Contents

Chapter 1: Market Preface
  • 1.1 Global Artificial Intelligence in Manufacturing Market Landscape
  • 1.2 Scope of the Study
  • 1.3 Relevant Findings & Stakeholder Advantages

Chapter 2: Strategic Overview
  • 2.1 Global Artificial Intelligence in Manufacturing Market Outlook
  • 2.2 Total Addressable Market versus Serviceable Market
  • 2.3 Market Rivalry Projection

Chapter 3 : Global Artificial Intelligence in Manufacturing Market Business Environment & Changing Dynamics
  • 3.1 Growth Drivers
    • 3.1.1 Opportunities in Industry 4.0
    • 3.1.2 AI-driven quality control solutions
  • 3.2 Available Opportunities
    • 3.2.1 Opportunities in Industry 4.0
  • 3.3 Influencing Trends
    • 3.3.1 Increased use of AI for predi
  • 3.4 Challenges
    • 3.4.1 High implementation costs
    • 3.4.2 la
  • 3.5 Regional Dynamics

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Chapter 4 : Global Artificial Intelligence in Manufacturing Industry Factors Assessment
  • 4.1 Current Scenario
  • 4.2 PEST Analysis
  • 4.3 Business Environment - PORTER 5-Forces Analysis
    • 4.3.1 Supplier Leverage
    • 4.3.2 Bargaining Power of Buyers
    • 4.3.3 Threat of Substitutes
    • 4.3.4 Threat from New Entrant
    • 4.3.5 Market Competition Level
  • 4.4 Roadmap of Artificial Intelligence in Manufacturing Market
  • 4.5 Impact of Macro-Economic Factors
  • 4.6 Market Entry Strategies
  • 4.7 Political and Regulatory Landscape
  • 4.8 Supply Chain Analysis
  • 4.9 Impact of Tariff War


Chapter 5: Artificial Intelligence in Manufacturing : Competition Benchmarking & Performance Evaluation
  • 5.1 Global Artificial Intelligence in Manufacturing Market Concentration Ratio
    • 5.1.1 CR4, CR8 and HH Index
    • 5.1.2 % Market Share - Top 3
    • 5.1.3 Market Holding by Top 5
  • 5.2 Market Position of Manufacturers by Artificial Intelligence in Manufacturing Revenue 2023
  • 5.3 BCG Matrix
  • 5.3 Market Entropy
  • 5.4 FPNV Positioning Matrix
  • 5.5 Heat Map Analysis
Chapter 6: Global Artificial Intelligence in Manufacturing Market: Company Profiles
  • 6.1 IBM
    • 6.1.1 IBM Company Overview
    • 6.1.2 IBM Product/Service Portfolio & Specifications
    • 6.1.3 IBM Key Financial Metrics
    • 6.1.4 IBM SWOT Analysis
    • 6.1.5 IBM Development Activities
  • 6.2 Microsoft
  • 6.3 Siemens
  • 6.4 Rockwell Automation
  • 6.5 ABB
  • 6.6 General Electric

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Chapter 7 : Global Artificial Intelligence in Manufacturing by Type & Application (2019-2030)
  • 7.1 Global Artificial Intelligence in Manufacturing Market Revenue Analysis (USD Million) by Type (2019-2023)
    • 7.1.1 AI-driven Robotics
    • 7.1.2 Predictive Maintenance
    • 7.1.3 AI-enabled Production
    • 7.1.4 AI For Quality Control
    • 7.1.5 AI For Supply Chain Optimization
  • 7.2 Global Artificial Intelligence in Manufacturing Market Revenue Analysis (USD Million) by Application (2019-2023)
    • 7.2.1 Manufacturing
    • 7.2.2 Automotive
    • 7.2.3 Electronics
    • 7.2.4 Consumer Goods
    • 7.2.5 Aerospace
  • 7.3 Global Artificial Intelligence in Manufacturing Market Revenue Analysis (USD Million) by Type (2023-2030)
  • 7.4 Global Artificial Intelligence in Manufacturing Market Revenue Analysis (USD Million) by Application (2023-2030)

Chapter 8 : North America Artificial Intelligence in Manufacturing Market Breakdown by Country, Type & Application
  • 8.1 North America Artificial Intelligence in Manufacturing Market by Country (USD Million) [2019-2023]
    • 8.1.1 United States
    • 8.1.2 Canada
  • 8.2 North America Artificial Intelligence in Manufacturing Market by Type (USD Million) [2019-2023]
    • 8.2.1 AI-driven Robotics
    • 8.2.2 Predictive Maintenance
    • 8.2.3 AI-enabled Production
    • 8.2.4 AI For Quality Control
    • 8.2.5 AI For Supply Chain Optimization
  • 8.3 North America Artificial Intelligence in Manufacturing Market by Application (USD Million) [2019-2023]
    • 8.3.1 Manufacturing
    • 8.3.2 Automotive
    • 8.3.3 Electronics
    • 8.3.4 Consumer Goods
    • 8.3.5 Aerospace
  • 8.4 North America Artificial Intelligence in Manufacturing Market by Country (USD Million) [2024-2030]
  • 8.5 North America Artificial Intelligence in Manufacturing Market by Type (USD Million) [2024-2030]
  • 8.6 North America Artificial Intelligence in Manufacturing Market by Application (USD Million) [2024-2030]
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Chapter 9 : LATAM Artificial Intelligence in Manufacturing Market Breakdown by Country, Type & Application
  • 9.1 LATAM Artificial Intelligence in Manufacturing Market by Country (USD Million) [2019-2023]
    • 9.1.1 Brazil
    • 9.1.2 Argentina
    • 9.1.3 Chile
    • 9.1.4 Mexico
    • 9.1.5 Rest of LATAM
  • 9.2 LATAM Artificial Intelligence in Manufacturing Market by Type (USD Million) [2019-2023]
    • 9.2.1 AI-driven Robotics
    • 9.2.2 Predictive Maintenance
    • 9.2.3 AI-enabled Production
    • 9.2.4 AI For Quality Control
    • 9.2.5 AI For Supply Chain Optimization
  • 9.3 LATAM Artificial Intelligence in Manufacturing Market by Application (USD Million) [2019-2023]
    • 9.3.1 Manufacturing
    • 9.3.2 Automotive
    • 9.3.3 Electronics
    • 9.3.4 Consumer Goods
    • 9.3.5 Aerospace
  • 9.4 LATAM Artificial Intelligence in Manufacturing Market by Country (USD Million) [2024-2030]
  • 9.5 LATAM Artificial Intelligence in Manufacturing Market by Type (USD Million) [2024-2030]
  • 9.6 LATAM Artificial Intelligence in Manufacturing Market by Application (USD Million) [2024-2030]
Chapter 10 : West Europe Artificial Intelligence in Manufacturing Market Breakdown by Country, Type & Application
  • 10.1 West Europe Artificial Intelligence in Manufacturing Market by Country (USD Million) [2019-2023]
    • 10.1.1 Germany
    • 10.1.2 France
    • 10.1.3 Benelux
    • 10.1.4 Switzerland
    • 10.1.5 Rest of West Europe
  • 10.2 West Europe Artificial Intelligence in Manufacturing Market by Type (USD Million) [2019-2023]
    • 10.2.1 AI-driven Robotics
    • 10.2.2 Predictive Maintenance
    • 10.2.3 AI-enabled Production
    • 10.2.4 AI For Quality Control
    • 10.2.5 AI For Supply Chain Optimization
  • 10.3 West Europe Artificial Intelligence in Manufacturing Market by Application (USD Million) [2019-2023]
    • 10.3.1 Manufacturing
    • 10.3.2 Automotive
    • 10.3.3 Electronics
    • 10.3.4 Consumer Goods
    • 10.3.5 Aerospace
  • 10.4 West Europe Artificial Intelligence in Manufacturing Market by Country (USD Million) [2024-2030]
  • 10.5 West Europe Artificial Intelligence in Manufacturing Market by Type (USD Million) [2024-2030]
  • 10.6 West Europe Artificial Intelligence in Manufacturing Market by Application (USD Million) [2024-2030]
Chapter 11 : Central & Eastern Europe Artificial Intelligence in Manufacturing Market Breakdown by Country, Type & Application
  • 11.1 Central & Eastern Europe Artificial Intelligence in Manufacturing Market by Country (USD Million) [2019-2023]
    • 11.1.1 Bulgaria
    • 11.1.2 Poland
    • 11.1.3 Hungary
    • 11.1.4 Romania
    • 11.1.5 Rest of CEE
  • 11.2 Central & Eastern Europe Artificial Intelligence in Manufacturing Market by Type (USD Million) [2019-2023]
    • 11.2.1 AI-driven Robotics
    • 11.2.2 Predictive Maintenance
    • 11.2.3 AI-enabled Production
    • 11.2.4 AI For Quality Control
    • 11.2.5 AI For Supply Chain Optimization
  • 11.3 Central & Eastern Europe Artificial Intelligence in Manufacturing Market by Application (USD Million) [2019-2023]
    • 11.3.1 Manufacturing
    • 11.3.2 Automotive
    • 11.3.3 Electronics
    • 11.3.4 Consumer Goods
    • 11.3.5 Aerospace
  • 11.4 Central & Eastern Europe Artificial Intelligence in Manufacturing Market by Country (USD Million) [2024-2030]
  • 11.5 Central & Eastern Europe Artificial Intelligence in Manufacturing Market by Type (USD Million) [2024-2030]
  • 11.6 Central & Eastern Europe Artificial Intelligence in Manufacturing Market by Application (USD Million) [2024-2030]
Chapter 12 : Northern Europe Artificial Intelligence in Manufacturing Market Breakdown by Country, Type & Application
  • 12.1 Northern Europe Artificial Intelligence in Manufacturing Market by Country (USD Million) [2019-2023]
    • 12.1.1 The United Kingdom
    • 12.1.2 Sweden
    • 12.1.3 Norway
    • 12.1.4 Baltics
    • 12.1.5 Ireland
    • 12.1.6 Rest of Northern Europe
  • 12.2 Northern Europe Artificial Intelligence in Manufacturing Market by Type (USD Million) [2019-2023]
    • 12.2.1 AI-driven Robotics
    • 12.2.2 Predictive Maintenance
    • 12.2.3 AI-enabled Production
    • 12.2.4 AI For Quality Control
    • 12.2.5 AI For Supply Chain Optimization
  • 12.3 Northern Europe Artificial Intelligence in Manufacturing Market by Application (USD Million) [2019-2023]
    • 12.3.1 Manufacturing
    • 12.3.2 Automotive
    • 12.3.3 Electronics
    • 12.3.4 Consumer Goods
    • 12.3.5 Aerospace
  • 12.4 Northern Europe Artificial Intelligence in Manufacturing Market by Country (USD Million) [2024-2030]
  • 12.5 Northern Europe Artificial Intelligence in Manufacturing Market by Type (USD Million) [2024-2030]
  • 12.6 Northern Europe Artificial Intelligence in Manufacturing Market by Application (USD Million) [2024-2030]
Chapter 13 : Southern Europe Artificial Intelligence in Manufacturing Market Breakdown by Country, Type & Application
  • 13.1 Southern Europe Artificial Intelligence in Manufacturing Market by Country (USD Million) [2019-2023]
    • 13.1.1 Spain
    • 13.1.2 Italy
    • 13.1.3 Portugal
    • 13.1.4 Greece
    • 13.1.5 Rest of Southern Europe
  • 13.2 Southern Europe Artificial Intelligence in Manufacturing Market by Type (USD Million) [2019-2023]
    • 13.2.1 AI-driven Robotics
    • 13.2.2 Predictive Maintenance
    • 13.2.3 AI-enabled Production
    • 13.2.4 AI For Quality Control
    • 13.2.5 AI For Supply Chain Optimization
  • 13.3 Southern Europe Artificial Intelligence in Manufacturing Market by Application (USD Million) [2019-2023]
    • 13.3.1 Manufacturing
    • 13.3.2 Automotive
    • 13.3.3 Electronics
    • 13.3.4 Consumer Goods
    • 13.3.5 Aerospace
  • 13.4 Southern Europe Artificial Intelligence in Manufacturing Market by Country (USD Million) [2024-2030]
  • 13.5 Southern Europe Artificial Intelligence in Manufacturing Market by Type (USD Million) [2024-2030]
  • 13.6 Southern Europe Artificial Intelligence in Manufacturing Market by Application (USD Million) [2024-2030]
Chapter 14 : East Asia Artificial Intelligence in Manufacturing Market Breakdown by Country, Type & Application
  • 14.1 East Asia Artificial Intelligence in Manufacturing Market by Country (USD Million) [2019-2023]
    • 14.1.1 China
    • 14.1.2 Japan
    • 14.1.3 South Korea
    • 14.1.4 Taiwan
    • 14.1.5 Others
  • 14.2 East Asia Artificial Intelligence in Manufacturing Market by Type (USD Million) [2019-2023]
    • 14.2.1 AI-driven Robotics
    • 14.2.2 Predictive Maintenance
    • 14.2.3 AI-enabled Production
    • 14.2.4 AI For Quality Control
    • 14.2.5 AI For Supply Chain Optimization
  • 14.3 East Asia Artificial Intelligence in Manufacturing Market by Application (USD Million) [2019-2023]
    • 14.3.1 Manufacturing
    • 14.3.2 Automotive
    • 14.3.3 Electronics
    • 14.3.4 Consumer Goods
    • 14.3.5 Aerospace
  • 14.4 East Asia Artificial Intelligence in Manufacturing Market by Country (USD Million) [2024-2030]
  • 14.5 East Asia Artificial Intelligence in Manufacturing Market by Type (USD Million) [2024-2030]
  • 14.6 East Asia Artificial Intelligence in Manufacturing Market by Application (USD Million) [2024-2030]
Chapter 15 : Southeast Asia Artificial Intelligence in Manufacturing Market Breakdown by Country, Type & Application
  • 15.1 Southeast Asia Artificial Intelligence in Manufacturing Market by Country (USD Million) [2019-2023]
    • 15.1.1 Vietnam
    • 15.1.2 Singapore
    • 15.1.3 Thailand
    • 15.1.4 Malaysia
    • 15.1.5 Indonesia
    • 15.1.6 Philippines
    • 15.1.7 Rest of SEA Countries
  • 15.2 Southeast Asia Artificial Intelligence in Manufacturing Market by Type (USD Million) [2019-2023]
    • 15.2.1 AI-driven Robotics
    • 15.2.2 Predictive Maintenance
    • 15.2.3 AI-enabled Production
    • 15.2.4 AI For Quality Control
    • 15.2.5 AI For Supply Chain Optimization
  • 15.3 Southeast Asia Artificial Intelligence in Manufacturing Market by Application (USD Million) [2019-2023]
    • 15.3.1 Manufacturing
    • 15.3.2 Automotive
    • 15.3.3 Electronics
    • 15.3.4 Consumer Goods
    • 15.3.5 Aerospace
  • 15.4 Southeast Asia Artificial Intelligence in Manufacturing Market by Country (USD Million) [2024-2030]
  • 15.5 Southeast Asia Artificial Intelligence in Manufacturing Market by Type (USD Million) [2024-2030]
  • 15.6 Southeast Asia Artificial Intelligence in Manufacturing Market by Application (USD Million) [2024-2030]
Chapter 16 : South Asia Artificial Intelligence in Manufacturing Market Breakdown by Country, Type & Application
  • 16.1 South Asia Artificial Intelligence in Manufacturing Market by Country (USD Million) [2019-2023]
    • 16.1.1 India
    • 16.1.2 Bangladesh
    • 16.1.3 Others
  • 16.2 South Asia Artificial Intelligence in Manufacturing Market by Type (USD Million) [2019-2023]
    • 16.2.1 AI-driven Robotics
    • 16.2.2 Predictive Maintenance
    • 16.2.3 AI-enabled Production
    • 16.2.4 AI For Quality Control
    • 16.2.5 AI For Supply Chain Optimization
  • 16.3 South Asia Artificial Intelligence in Manufacturing Market by Application (USD Million) [2019-2023]
    • 16.3.1 Manufacturing
    • 16.3.2 Automotive
    • 16.3.3 Electronics
    • 16.3.4 Consumer Goods
    • 16.3.5 Aerospace
  • 16.4 South Asia Artificial Intelligence in Manufacturing Market by Country (USD Million) [2024-2030]
  • 16.5 South Asia Artificial Intelligence in Manufacturing Market by Type (USD Million) [2024-2030]
  • 16.6 South Asia Artificial Intelligence in Manufacturing Market by Application (USD Million) [2024-2030]
Chapter 17 : Central Asia Artificial Intelligence in Manufacturing Market Breakdown by Country, Type & Application
  • 17.1 Central Asia Artificial Intelligence in Manufacturing Market by Country (USD Million) [2019-2023]
    • 17.1.1 Kazakhstan
    • 17.1.2 Tajikistan
    • 17.1.3 Others
  • 17.2 Central Asia Artificial Intelligence in Manufacturing Market by Type (USD Million) [2019-2023]
    • 17.2.1 AI-driven Robotics
    • 17.2.2 Predictive Maintenance
    • 17.2.3 AI-enabled Production
    • 17.2.4 AI For Quality Control
    • 17.2.5 AI For Supply Chain Optimization
  • 17.3 Central Asia Artificial Intelligence in Manufacturing Market by Application (USD Million) [2019-2023]
    • 17.3.1 Manufacturing
    • 17.3.2 Automotive
    • 17.3.3 Electronics
    • 17.3.4 Consumer Goods
    • 17.3.5 Aerospace
  • 17.4 Central Asia Artificial Intelligence in Manufacturing Market by Country (USD Million) [2024-2030]
  • 17.5 Central Asia Artificial Intelligence in Manufacturing Market by Type (USD Million) [2024-2030]
  • 17.6 Central Asia Artificial Intelligence in Manufacturing Market by Application (USD Million) [2024-2030]
Chapter 18 : Oceania Artificial Intelligence in Manufacturing Market Breakdown by Country, Type & Application
  • 18.1 Oceania Artificial Intelligence in Manufacturing Market by Country (USD Million) [2019-2023]
    • 18.1.1 Australia
    • 18.1.2 New Zealand
    • 18.1.3 Others
  • 18.2 Oceania Artificial Intelligence in Manufacturing Market by Type (USD Million) [2019-2023]
    • 18.2.1 AI-driven Robotics
    • 18.2.2 Predictive Maintenance
    • 18.2.3 AI-enabled Production
    • 18.2.4 AI For Quality Control
    • 18.2.5 AI For Supply Chain Optimization
  • 18.3 Oceania Artificial Intelligence in Manufacturing Market by Application (USD Million) [2019-2023]
    • 18.3.1 Manufacturing
    • 18.3.2 Automotive
    • 18.3.3 Electronics
    • 18.3.4 Consumer Goods
    • 18.3.5 Aerospace
  • 18.4 Oceania Artificial Intelligence in Manufacturing Market by Country (USD Million) [2024-2030]
  • 18.5 Oceania Artificial Intelligence in Manufacturing Market by Type (USD Million) [2024-2030]
  • 18.6 Oceania Artificial Intelligence in Manufacturing Market by Application (USD Million) [2024-2030]
Chapter 19 : MEA Artificial Intelligence in Manufacturing Market Breakdown by Country, Type & Application
  • 19.1 MEA Artificial Intelligence in Manufacturing Market by Country (USD Million) [2019-2023]
    • 19.1.1 Turkey
    • 19.1.2 South Africa
    • 19.1.3 Egypt
    • 19.1.4 UAE
    • 19.1.5 Saudi Arabia
    • 19.1.6 Israel
    • 19.1.7 Rest of MEA
  • 19.2 MEA Artificial Intelligence in Manufacturing Market by Type (USD Million) [2019-2023]
    • 19.2.1 AI-driven Robotics
    • 19.2.2 Predictive Maintenance
    • 19.2.3 AI-enabled Production
    • 19.2.4 AI For Quality Control
    • 19.2.5 AI For Supply Chain Optimization
  • 19.3 MEA Artificial Intelligence in Manufacturing Market by Application (USD Million) [2019-2023]
    • 19.3.1 Manufacturing
    • 19.3.2 Automotive
    • 19.3.3 Electronics
    • 19.3.4 Consumer Goods
    • 19.3.5 Aerospace
  • 19.4 MEA Artificial Intelligence in Manufacturing Market by Country (USD Million) [2024-2030]
  • 19.5 MEA Artificial Intelligence in Manufacturing Market by Type (USD Million) [2024-2030]
  • 19.6 MEA Artificial Intelligence in Manufacturing Market by Application (USD Million) [2024-2030]

Chapter 20: Research Findings & Conclusion
  • 20.1 Key Findings
  • 20.2 Conclusion

Chapter 21: Methodology and Data Source
  • 21.1 Research Methodology & Approach
    • 21.1.1 Research Program/Design
    • 21.1.2 Market Size Estimation
    • 21.1.3 Market Breakdown and Data Triangulation
  • 21.2 Data Source
    • 21.2.1 Secondary Sources
    • 21.2.2 Primary Sources

Chapter 22: Appendix & Disclaimer
  • 22.1 Acronyms & bibliography
  • 22.2 Disclaimer

Frequently Asked Questions (FAQ):

The Global Artificial Intelligence in Manufacturing market is estimated to see a CAGR of 15.9% and may reach an estimated market size of 15.9% 28.5 Billion by 2030.

The Artificial Intelligence in Manufacturing Market is estimated to grow at a CAGR of 15.9%, currently pegged at 10.2 Billion.

Increased Use Of AI For Predictive Analytics, Demand For Smart Factories, Automation In Manufacturing Processes are seen to make big Impact on Artificial Intelligence in Manufacturing Market Growth.

The leaders in the Global Artificial Intelligence in Manufacturing Market such as IBM, Microsoft, Siemens, Rockwell Automation, ABB, General Electric are targeting innovative and differentiated growth drivers some of them are Opportunities In Industry 4.0, AI-driven Quality Control Solutions, Supply Chain Optimization For Global Manufacturing

Business transformation in Artificial Intelligence in Manufacturing Market has taken hold due to the confluence of several important triggers, some of them are High Implementation Costs, Lack Of Skilled Workforce, Integration Challenges, Cybersecurity Concerns.

Some of the opportunities that Analyst at HTF MI have identified in Artificial Intelligence in Manufacturing Market are:
  • Opportunities In Industry 4.0
  • AI-driven Quality Control Solutions
  • Supply Chain Optimization For Global Manufacturing

New entrants, including competitors from unrelated industries along with players such as IBM, Microsoft, Siemens, Rockwell Automation, ABB, General Electric Instituting a robust process in Global Artificial Intelligence in Manufacturing Market.

The Global Artificial Intelligence in Manufacturing Market Study is Broken down by applications such as Manufacturing, Automotive, Electronics, Consumer Goods, Aerospace.

The Global Artificial Intelligence in Manufacturing Market Study is segmented by AI-driven Robotics, Predictive Maintenance, AI-enabled Production, AI for Quality Control, AI for Supply Chain Optimization.

The Global Artificial Intelligence in Manufacturing Market Study includes regional breakdown as North America, LATAM, West Europe,Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA

Historical Year: 2019 - 2023; Base year: 2023; Forecast period: 2025 to 2030

The aArtificial Intelligence in Manufacturing market focuses on the integration of AI technologies to improve manufacturing processes. AI applications in manufacturing include predictive maintenance, quality control, automation of production, and supply chain optimization. AI helps manufacturers improve efficiency, reduce downtime, and ensure product quality. With the increasing need for smart manufacturing, companies are turning to AI to optimize operations, reduce costs, and enhance productivity. AI-powered robots, machines, and software are transforming industries like automotive and electronics.

The Global Artificial Intelligence in Manufacturing market is estimated to see a CAGR of 15.9% and may reach an estimated market size of 15.9% 28.5 Billion by 2030.

The Artificial Intelligence in Manufacturing Market is growing at a CAGR of 15.9% over the forecasted period 2023 - 2030.

Some of the prominent trends that are influencing and driving the growth of Global Artificial Intelligence in Manufacturing Market are Increased Use Of AI For Predictive Analytics, Demand For Smart Factories, Automation In Manufacturing Processes

  • Opportunities In Industry 4.0
  • AI-driven Quality Control Solutions
  • Supply Chain Optimization For Global Manufacturing

Business transformation in Artificial Intelligence in Manufacturing Market has taken hold due to the confluence of several important triggers, some of them are High Implementation Costs, Lack Of Skilled Workforce, Integration Challenges, Cybersecurity Concerns.

Some of the opportunities that Analyst at HTF MI have identified in Artificial Intelligence in Manufacturing Market are:
  • Opportunities In Industry 4.0
  • AI-driven Quality Control Solutions
  • Supply Chain Optimization For Global Manufacturing

Artificial Intelligence in Manufacturing Market identifies market share by players along with the concentration rate using CR4, CR8 Index to determine leading and emerging competitive players such as IBM, Microsoft, Siemens, Rockwell Automation, ABB, General Electric.

Research paper of Global Artificial Intelligence in Manufacturing Market shows that companies are making better progress than their supply chain peers –including suppliers, majorly in end-use applications such as Manufacturing, Automotive, Electronics, Consumer Goods, Aerospace.

The Global Artificial Intelligence in Manufacturing Market Study is segmented by AI-driven Robotics, Predictive Maintenance, AI-enabled Production, AI for Quality Control, AI for Supply Chain Optimization.

The Global Artificial Intelligence in Manufacturing Market Study includes regional breakdown as North America, LATAM, West Europe,Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA

Historical Year: 2019 - Base year: 2023. Forecast period**: 2025 to 2030 [** unless otherwise stated]

The aArtificial Intelligence in Manufacturing market focuses on the integration of AI technologies to improve manufacturing processes. AI applications in manufacturing include predictive maintenance, quality control, automation of production, and supply chain optimization. AI helps manufacturers improve efficiency, reduce downtime, and ensure product quality. With the increasing need for smart manufacturing, companies are turning to AI to optimize operations, reduce costs, and enhance productivity. AI-powered robots, machines, and software are transforming industries like automotive and electronics.