AI in Manufacturing: Driving Efficiency and Innovation on the Factory Floor

Artificial Intelligence In Manufacturing Market size is estimated to be valued USD 3.2 billion in 2023 and is anticipated to reach USD 20.8 billion by 2028, at a CAGR of 45.6% during the forecast period waves in the manufacturing sector, and recent news highlights its positive impact. Here are some content ideas to explore:

Increased Efficiency and Productivity:

• Headline: AI in Manufacturing: Robots Get Smarter, Humans Get Upskilled
• Content: Focus on how AI is automating repetitive tasks, freeing up human workers for higher-level problem-solving and innovation. Discuss how this two-pronged approach is boosting productivity.

Predictive Maintenance and Quality Control:

• Headline: Factories of the Future: AI Predicts Problems Before They Happen
• Content: Explore how AI analyzes sensor data to predict equipment failures and identify potential quality issues before they disrupt production.
• Sources: You can find industry reports or case studies about companies implementing this technology.

get more information @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=72679105

Innovation and New Product Development:

• Headline: AI Goes Beyond Efficiency: How It’s Fueling Manufacturing Innovation
• Content: Discuss how AI is being used for product design and optimization, allowing manufacturers to create better products and get them to market faster. Mention generative AI tools that can create new design concepts.
• Sources: Look for articles about companies using AI for design, like Siemens’ AI-powered robot for prototype manufacturing.

1 INTRODUCTION (Page No. — 36)

1.1 STUDY OBJECTIVES

1.2 MARKET DEFINITION

1.2.1 INCLUSIONS AND EXCLUSIONS

1.3 STUDY SCOPE

1.3.1 MARKETS COVERED

1.3.2 REGIONAL SCOPE

1.3.3 YEARS CONSIDERED

1.4 CURRENCY CONSIDERED

1.5 STAKEHOLDERS

1.6 SUMMARY OF CHANGES….

1.6.1 RECESSION IMPACT ANALYSIS

2 RESEARCH METHODOLOGY (Page No. — 41)

2.1 RESEARCH DATA

FIGURE 1 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH DESIGN

2.1.1 SECONDARY DATA

2.1.1.1 List of major secondary sources

2.1.1.2 Key data from secondary sources

2.1.2 PRIMARY DATA

2.1.2.1 Primary interviews with experts

2.1.2.2 Breakdown of primaries

2.1.2.3 Key data from primary sources

2.1.3 SECONDARY AND PRIMARY RESEARCH

2.1.3.1 Key industry insights

2.2 MARKET SIZE ESTIMATION

2.2.1 BOTTOM-UP APPROACH

2.2.1.1 Approach to derive market size using bottom-up analysis

FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH

2.2.2 TOP-DOWN APPROACH

2.2.2.1 Approach to derive market size using bottom-up analysis

FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH

FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE APPROACH)

2.3 MARKET BREAKDOWN AND DATA TRIANGULATION

FIGURE 5 DATA TRIANGULATION

2.4 RESEARCH ASSUMPTIONS

FIGURE 6 ASSUMPTIONS FOR RESEARCH STUDY

2.5 PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET

2.6 RESEARCH LIMITATIONS

2.7 RISK ASSESSMENT

FIGURE 7 RISK ASSESSMENT OF RESEARCH STUDY

3 EXECUTIVE SUMMARY (Page No. — 53)

FIGURE 8 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, 2019−2028 (USD MILLION)

FIGURE 9 SOFTWARE OFFERINGS TO CAPTURE LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028

FIGURE 10 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2028

FIGURE 11 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION APPLICATION TO HOLD LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2023

FIGURE 12 AUTOMOTIVE INDUSTRY ACCOUNTED FOR LARGEST SHARE OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET IN 2022

FIGURE 13 ASIA PACIFIC TO REGISTER HIGHEST CAGR IN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DURING FORECAST PERIOD