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Global Artificial Intelligence in Manufacturing Market Size study, by Component, by Technology, by Application, by End-Use and Regional Forecasts 2022-2032

Publisher Bizwit Research & Consulting
Published Aug 05, 2024
SKU # BIZW20790080

Description

The global Artificial Intelligence (AI) in Manufacturing market is valued approximately at USD 4.10 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 44.20% over the forecast period 2024-2032. Artificial Intelligence in manufacturing refers to the utilization of machine learning and deep learning solutions to optimize manufacturing processes. Leveraging the vast data produced by industrial IoT and smart factories, AI applications in manufacturing encompass predictive maintenance, production planning, process control, quality control, and logistics management. These technologies enable significant cost reductions in maintenance, enhance production efficiency, and support decision-making processes by analysing complex data sets.

The burgeoning demand for enhanced manufacturing efficiency and the proliferation of Industry 4.0 are key drivers of market growth. The integration of AI-driven solutions like analytics, augmented reality, and smart packaging within manufacturing facilities is facilitating the digital transformation of the sector. As manufacturing firms increasingly seek sustainable solutions, AI adoption in this industry is set to expand significantly. Advancements in automation and the growing need for big data integration are also fuelling market expansion. The widespread use of machine vision cameras in various manufacturing applications-ranging from machinery inspection to quality control-illustrates AI's pivotal role in this sector. Key market players are continuously innovating and expanding their product portfolios to maintain competitiveness. For instance, Databricks' launch of the Databricks Lakehouse for manufacturers in April 2023, featuring pre-developed AI solutions, underscores the ongoing technological advancements within the industry.

North America led the market with a 33.9% share in 2023, driven by the presence of top-tier companies producing high-performance AI hardware components. The U.S. government's National Strategy for Advanced Manufacturing emphasizes research and development in machine learning, data privacy, and risk assessment, facilitating AI integration in manufacturing. Additionally, Asia Pacific is poised for significant growth, with countries like China, Japan, and India making strides in smart manufacturing and Industry 4.0 principles, thereby enhancing production procedures through AI-driven technologies.

Major market player included in this report are:

AIBrain Inc.
Amazon Web Services
Aquant Inc.
Cisco Systems Inc.
General Electric Company
General Vision Inc.
Google LLC (Alphabet Inc.)
IBM Corporation
Intel Corporation
Micron Technology Inc.
Microsoft Corporation
Mitsubishi Electric Corporation
NVIDIA Corporation
Oracle Corporation
Rethink Robotics
The detailed segments and sub-segment of the market are explained below:

By Component:

Hardware
Software
Services
By Technology:

Machine Learning (ML)
Computer Vision
Context Awareness
Natural Language Processing
By Application:

Material Movement
Predictive Maintenance & Machinery Inspection
Production Planning
Field Services
Quality Control & Reclamation
Others
By End-Use:

Semiconductor & Electronics
Energy & Power
Medical Devices
Automobile
Heavy Metal & Machine Manufacturing
Others
By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
RoLA
Middle East & Africa
Saudi Arabia
South Africa
RoMEA
Years considered for the study are as follows:

Historical year - 2022
Base year - 2023
Forecast period - 2024 to 2032
Key Takeaways:

Market Estimates & Forecast for 10 years from 2022 to 2032.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with Country level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Artificial Intelligence in Manufacturing Market Executive Summary
1.1. Global Artificial Intelligence in Manufacturing Market Size & Forecast (2022- 2032)
1.2. Regional Summary
1.3. Segmental Summary
1.3.1. By Component
1.3.2. By Technology
1.3.3. By Application
1.3.4. By End-Use
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion
Chapter 2. Global Artificial Intelligence in Manufacturing Market Definition and Research Assumptions
2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
2.3.1. Inclusion & Exclusion
2.3.2. Limitations
2.3.3. Supply Side Analysis
2.3.3.1. Availability
2.3.3.2. Infrastructure
2.3.3.3. Regulatory Environment
2.3.3.4. Market Competition
2.3.3.5. Economic Viability (Consumer's Perspective)
2.3.4. Demand Side Analysis
2.3.4.1. Regulatory frameworks
2.3.4.2. Technological Advancements
2.3.4.3. Environmental Considerations
2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates
Chapter 3. Global Artificial Intelligence in Manufacturing Market Dynamics
3.1. Market Drivers
3.1.1. Increasing Adoption of Industry 4.0
3.1.2. Growing Demand for Automation
3.1.3. Integration of Big Data in Manufacturing
3.2. Market Challenges
3.2.1. Supply Chain Complexities
3.2.2. High Implementation Costs
3.3. Market Opportunities
3.3.1. Advancements in Machine Learning
3.3.2. Expansion in Emerging Markets
3.3.3. Development of Smart Factories
Chapter 4. Global Artificial Intelligence in Manufacturing Market Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter's 5 Force Model
4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.2.5. Environmental
4.2.6. Legal
4.3. Top investment opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Global Artificial Intelligence in Manufacturing Market Size & Forecasts by Component 2022-2032
5.1. Segment Dashboard
5.2. Global Artificial Intelligence in Manufacturing Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
5.2.1. Hardware
5.2.2. Software
5.2.3. Services
Chapter 6. Global Artificial Intelligence in Manufacturing Market Size & Forecasts by Technology 2022-2032
6.1. Segment Dashboard
6.2. Global Artificial Intelligence in Manufacturing Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Billion)
6.2.1. Machine Learning
6.2.2. Computer Vision
6.2.3. Context Awareness
6.2.4. Natural Language Processing
Chapter 7. Global Artificial Intelligence in Manufacturing Market Size & Forecasts by Application 2022-2032
7.1. Segment Dashboard
7.2. Global Artificial Intelligence in Manufacturing Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
7.2.1. Material Movement
7.2.2. Predictive Maintenance & Machinery Inspection
7.2.3. Production Planning
7.2.4. Field Services
7.2.5. Quality Control & Reclamation
7.2.6. Others
Chapter 8. Global Artificial Intelligence in Manufacturing Market Size & Forecasts by End-Use 2022-2032
8.1. Segment Dashboard
8.2. Global Artificial Intelligence in Manufacturing Market: End-Use Revenue Trend Analysis, 2022 & 2032 (USD Billion)
8.2.1. Semiconductor & Electronics
8.2.2. Energy & Power
8.2.3. Medical Devices
8.2.4. Automobile
8.2.5. Heavy Metal & Machine Manufacturing
8.2.6. Others
Chapter 9. Global Artificial Intelligence in Manufacturing Market Size & Forecasts by Region 2022-2032
9.1. North America Artificial Intelligence in Manufacturing Market
9.1.1. U.S. Artificial Intelligence in Manufacturing Market
9.1.1.1. Component breakdown size & forecasts, 2022-2032
9.1.1.2. Technology breakdown size & forecasts, 2022-2032
9.1.1.3. Application breakdown size & forecasts, 2022-2032
9.1.1.4. End-Use breakdown size & forecasts, 2022-2032
9.1.2. Canada Artificial Intelligence in Manufacturing Market
9.2. Europe Artificial Intelligence in Manufacturing Market
9.2.1. U.K. Artificial Intelligence in Manufacturing Market
9.2.2. Germany Artificial Intelligence in Manufacturing Market
9.2.3. France Artificial Intelligence in Manufacturing Market
9.2.4. Spain Artificial Intelligence in Manufacturing Market
9.2.5. Italy Artificial Intelligence in Manufacturing Market
9.2.6. Rest of Europe Artificial Intelligence in Manufacturing Market
9.3. Asia-Pacific Artificial Intelligence in Manufacturing Market
9.3.1. China Artificial Intelligence in Manufacturing Market
9.3.2. India Artificial Intelligence in Manufacturing Market
9.3.3. Japan Artificial Intelligence in Manufacturing Market
9.3.4. Australia Artificial Intelligence in Manufacturing Market
9.3.5. South Korea Artificial Intelligence in Manufacturing Market
9.3.6. Rest of Asia Pacific Artificial Intelligence in Manufacturing Market
9.4. Latin America Artificial Intelligence in Manufacturing Market
9.4.1. Brazil Artificial Intelligence in Manufacturing Market
9.4.2. Mexico Artificial Intelligence in Manufacturing Market
9.4.3. Rest of Latin America Artificial Intelligence in Manufacturing Market
9.5. Middle East & Africa Artificial Intelligence in Manufacturing Market
9.5.1. Saudi Arabia Artificial Intelligence in Manufacturing Market
9.5.2. South Africa Artificial Intelligence in Manufacturing Market
9.5.3. Rest of Middle East & Africa Artificial Intelligence in Manufacturing Market
Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. AIBrain Inc.
10.3.1.1. Key Information
10.3.1.2. Overview
10.3.1.3. Financial (Subject to Data Availability)
10.3.1.4. Product Summary
10.3.1.5. Market Strategies
10.3.2. Amazon Web Services
10.3.3. Aquant Inc.
10.3.4. Cisco Systems Inc
10.3.5. General Electric Company
10.3.6. General Vision Inc.
10.3.7. Google LLC (Alphabet Inc.)
10.3.8. IBM Corporation
10.3.9. Intel Corporation
10.3.10. Micron Technology Inc.
10.3.11. Microsoft Corporation
10.3.12. Mitsubishi Electric Corporation
10.3.13. NVIDIA Corporation
10.3.14. Oracle Corporation
10.3.15. Rethink Robotics
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes

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