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Global Artificial Intelligence in Manufacturing Market (2023-2028) Competitive Analysis, Impact of Covid-19 with Ansoff Analysis

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  • 182 Pages
  • February 2024
  • Infogence Global Research
  • ID: 5585672
The Global Artificial Intelligence in Manufacturing Market is estimated to be USD 7.54 Bn in 2023 and is expected to reach USD 44.72 Bn by 2028 growing at a CAGR of 42.78%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the Global Artificial Intelligence in Manufacturing Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

Market Segmentations

  • The Global Artificial Intelligence in Manufacturing Market is segmented based on Component, Technology, Applications, Vertical, and Geography.
  • By Component, the market is classified into Hardware, Services, and Software.
  • By Technology, the market is classified into Machine Learning (ML), Natural Language Processing (NLP), Computer Vision, Speech and Voice Recognition, and Context-Aware Computing.
  • By Applications, the market is classified into Redictive Maintenance & Machinery Inspection, Quality Management, Robotics & Factory Automation, Supply Chain Optimization, Material Handling, Production Planning, Safety Planning, Field Services, Cybersecurity, and Energy Management.
  • By Vertical, the market is classified into Automotive, Semiconductors & Electronics, Aerospace and Defense, Heavy Metals & Machine Manufacturing, Medical Devices, Energy & Power, Pharmaceuticals, and Fast-Moving Consumer Goods.
  • By Geography, the market is classified into Americas, Europe, Middle-East & Africa and Asia-Pacific.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Advanced Micro Devices Inc, AIBrain Inc, Alphabet Inc, Amazon Web Services Inc, Aquant Inc, Bright Machines, Cisco Systems Inc, Flutura Decision Sciences & Analytics, General Electric Company, General Vision Inc, IBM Corp, Intel Corp, Micron Technology Inc, Microsoft Corp, Mitsubishi Electric Corp, Nvidia Corp, Oracle Corp, Progress Software Corp, Rethink Robotics, Robert Bosch GmbH, Rockwell Automation Inc, SAP SE, Siemens AG, Sight Machine Inc, SparkCognition Inc, UBTECH Robotics Corp, Vicarious Inc,, etc.

Countries Studied

  • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
  • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
  • Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
  • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

  • The report presents a detailed Ansoff matrix analysis for the Global Artificial Intelligence in Manufacturing Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
  • The publisher analyses the Global Artificial Intelligence in Manufacturing Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
  • Based on the SWOT analysis conducted on the industry and industry players, the publisher has devised suitable strategies for market growth.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global Artificial Intelligence in Manufacturing Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of Covid-19 on the market is also featured in the report.
  • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the Proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations and Outlook
4 Market Dynamics
4.1 Drivers
4.1.1 Intensifying Need to Handle Increasingly Large and Complex Dataset
4.1.2 Improving Computing Power of AI Chipsets
4.1.3 Increasing Venture Capital Investments in Manufacturing AI Space
4.2 Restraints
4.2.1 Reluctance among Manufacturers to Adopt AI-Based Technologies
4.3 Opportunities
4.3.1 Growing Scale of Manufacturing Operations in Emerging Economies
4.3.2 Rising Acceptance of Modern Manufacturing Techniques
4.3.3 Increasing Deployment of Automation Technologies
4.4 Challenges
4.4.1 Limited Availability of Skilled Workforce, Especially in Developing Countries
4.4.2 Concerns Regarding Data Privacy
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 Impact of COVID-19
5.4 Ansoff Matrix Analysis
6 Global Artificial Intelligence in Manufacturing Market, By Component
6.1 Introduction
6.2 Hardware
6.2.1 Processors
6.2.2 Memory
6.2.3 Networking
6.3 Services
6.3.1 Deployment & Integration
6.3.2 Support & Maintenance
6.4 Software
6.4.1 AI Platforms
6.4.2 AI Solutions
7 Global Artificial Intelligence in Manufacturing Market, By Technology
7.1 Introduction
7.2 Machine Learning (ML)
7.3 Natural Language Processing (NLP)
7.4 Computer Vision
7.5 Speech and Voice Recognition
7.6 Context-Aware Computing
8 Global Artificial Intelligence in Manufacturing Market, By Applications
8.1 Introduction
8.2 Redictive Maintenance & Machinery Inspection
8.3 Quality Management
8.4 Robotics & Factory Automation
8.5 Supply Chain Optimization
8.6 Material Handling
8.7 Production Planning
8.8 Safety Planning
8.9 Field Services
8.10 Cybersecurity
8.11 Energy Management
9 Global Artificial Intelligence in Manufacturing Market, By Vertical
9.1 Introduction
9.2 Automotive
9.3 Semiconductors & Electronics
9.4 Aerospace and Defense
9.5 Heavy Metals & Machine Manufacturing
9.6 Medical Devices
9.7 Energy & Power
9.8 Pharmaceuticals
9.9 Fast-Moving Consumer Goods
10 Americas' Global Artificial Intelligence in Manufacturing Market
10.1 Introduction
10.2 Argentina
10.3 Brazil
10.4 Canada
10.5 Chile
10.6 Colombia
10.7 Mexico
10.8 Peru
10.9 United States
10.10 Rest of Americas
11 Europe's Global Artificial Intelligence in Manufacturing Market
11.1 Introduction
11.2 Austria
11.3 Belgium
11.4 Denmark
11.5 Finland
11.6 France
11.7 Germany
11.8 Italy
11.9 Netherlands
11.10 Norway
11.11 Poland
11.12 Russia
11.13 Spain
11.14 Sweden
11.15 Switzerland
11.16 United Kingdom
11.17 Rest of Europe
12 Middle East and Africa's Global Artificial Intelligence in Manufacturing Market
12.1 Introduction
12.2 Egypt
12.3 Israel
12.4 Qatar
12.5 Saudi Arabia
12.6 South Africa
12.7 United Arab Emirates
12.8 Rest of MEA
13 APAC's Global Artificial Intelligence in Manufacturing Market
13.1 Introduction
13.2 Australia
13.3 Bangladesh
13.4 China
13.5 India
13.6 Indonesia
13.7 Japan
13.8 Malaysia
13.9 Philippines
13.10 Singapore
13.11 South Korea
13.12 Sri Lanka
13.13 Thailand
13.14 Taiwan
13.15 Rest of Asia-Pacific
14 Competitive Landscape
14.1 Competitive Quadrant
14.2 Market Share Analysis
14.3 Strategic Initiatives
14.3.1 M&A and Investments
14.3.2 Partnerships and Collaborations
14.3.3 Product Developments and Improvements
15 Company Profiles
15.1 Advanced Micro Devices Inc
15.2 AIBrain Inc
15.3 Alphabet Inc
15.4 Amazon Web Services Inc
15.5 Aquant Inc
15.6 Bright Machines
15.7 Cisco Systems Inc
15.8 Flutura Decision Sciences & Analytics
15.9 General Electric Company
15.10 General Vision Inc
15.11 IBM Corp
15.12 Intel Corp
15.13 Micron Technology Inc
15.14 Microsoft Corp
15.15 Mitsubishi Electric Corp
15.16 Nvidia Corp
15.17 Oracle Corp
15.18 Progress Software Corp
15.19 Rethink Robotics
15.20 Robert Bosch GmbH
15.21 Rockwell Automation Inc
15.22 SAP SE
15.23 Siemens AG
15.24 Sight Machine Inc
15.25 SparkCognition Inc
15.26 UBTECH Robotics Corp
15.27 Vicarious Inc
16 Appendix

Companies Mentioned

  • Advanced Micro Devices Inc
  • AIBrain Inc
  • Alphabet Inc
  • Amazon Web Services Inc
  • Aquant Inc
  • Bright Machines
  • Cisco Systems Inc
  • Flutura Decision Sciences & Analytics
  • General Electric Company
  • General Vision Inc
  • IBM Corp
  • Intel Corp
  • Micron Technology Inc
  • Microsoft Corp
  • Mitsubishi Electric Corp
  • Nvidia Corp
  • Oracle Corp
  • Progress Software Corp
  • Rethink Robotics
  • Robert Bosch GmbH
  • Rockwell Automation Inc
  • SAP SE
  • Siemens AG
  • Sight Machine Inc
  • SparkCognition Inc
  • UBTECH Robotics Corp
  • Vicarious Inc