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Artificial Intelligence in Manufacturing Market By Component, Technology, Application, Industry Vertical, & Geography - Global Forecast to 2028

  • ID: 5028721
  • Report
  • March 2021
  • Region: Global
  • 295 Pages
  • Meticulous Market Research Pvt. Ltd.

FEATURED COMPANIES

  • Alphabet Inc.
  • Cisco Systems Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Rockwell Automation Inc.
Artificial Intelligence in Manufacturing Market By Component, Technology (ML, NLP, Computer Vision), Application (Predictive Maintenance Quality Management, Supply Chain, Production Planning), Industry Vertical, & Region - Global Forecast To 2028

The research report titled “Artificial Intelligence in Manufacturing Market By Component, Technology (ML, NLP, Computer Vision), Application (Predictive Maintenance Quality Management, Supply Chain, Production Planning), Industry Vertical, & Region - Global Forecast To 2028” provides an in-depth analysis of artificial intelligence (AI) in manufacturing market in five major geographies and emphasizes on the current market trends, market sizes, market shares, recent developments, and forecasts till 2027. The artificial intelligence in manufacturing market is expected to reach $13.96 billion by 2028 and grow at a CAGR of 38.6% during the forecast period of 2021-2028.

The growth of this market is mainly attributed to the advent of Industrial 4.0, the increasing volume of large complex data, and the rising adoption of industrial IoT. Additionally, increasing government initiatives towards digitization, the rising necessity to enhance production outcomes, advance process effectiveness, reduce costs, and downtime in production lines are factors expected to drive the growth of the AI in manufacturing market in the coming years. Also, the growing use of computer vision in manufacturing, the rising adoption of 5G technology, and the increasing demand for factory automation are prominent technology trends in this market

This study offers a comprehensive analysis of the AI in manufacturing market based on component (hardware [processors, memory solutions, networking solutions], software [AI platforms, AI solutions], services [deployment & integration, support & maintenance]), by technology (machine learning, natural language processing, computer vision, speech & voice recognition, context-aware computing), by application (predictive maintenance & machinery inspection, quality management, supply chain optimization, industrial robot, production planning, material handling, field services, safety planning, cybersecurity, energy management), by industry vertical (automotive, semiconductors & electronics, heavy metals & machine manufacturing, energy & power, aerospace and defense, medical devices, pharmaceuticals, and FMCG), and regions. The study also evaluates industry competitors and analyses the market at the country level.

Based on component, the hardware segment is estimated to account for the largest share of the AI in manufacturing market in 2021. The large market share of this segment is primarily driven by the increasing demand for robust and cost-effective devices, including servers, storage, and networking devices.

However, the software segment is slated to record the fastest CAGR during the forecast period due to the high adoption rate of cloud-based technologies, the rising need for innovative technologies for predicting & preventing errors, and the increasing demand for AI platforms to streamline processes and operations.

Based on technology, the machine learning segment is estimated to account for the largest share of the AI in manufacturing market in 2021. The large market share of this segment is primarily driven by the increasing need for identifying, monitoring, and analyzing the critical system variables during the manufacturing process and the increasing demand for predictive maintenance & machinery inspection.

However, the natural language processing (NLP) segment is slated to record the fastest CAGR during the forecast period due to the growing demand for cloud-based NLP solutions to reduce overall costs, facilitate smart environments and enhance operational scalabilities.

Based on application, the predictive maintenance & machinery inspection segment is estimated to account for the largest share and witness the fastest CAGR of the AI in manufacturing market in 2021. The large market share and the high growth rate of this segment are attributed to the growing demand to reduce costs for operating heavy equipment, increasing adoption of advanced technologies including IoT devices in manufacturing plants, rising demand for equipment uptime & availability, growing necessity to reduce maintenance planning time, rising need to improve production capacity and increasing need to report manufacturing issues in real-time.

Based on industry vertical, the automotive industry segment is estimated to account for the largest share of the AI in manufacturing market in 2021. The large market share of this segment is primarily driven by the growing adoption of advanced AI automotive solutions for fault detection & isolation, quality management, smart manufacturing, production monitoring, and the increasing need for predictive maintenance & machinery inspection solutions.

However, the medical devices manufacturing segment is slated to record the fastest CAGR during the forecast period due to the outbreak of the COVID-19 pandemic, rising focus on preventive medical equipment maintenance to reduce unplanned downtime, enhance production quality control and improve operational productivity.

Based on geography, the AI in manufacturing market is segmented into North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Asia-Pacific is estimated to account for the largest share and witness the highest CAGR of the AI in manufacturing market in 2021. The region’s large market share and high growth rate are due to the increasing investments by technology leaders towards digitalization, the strong presence of automobile and electronics & semiconductor companies in the region, and their focus on developing advanced solutions to optimize manufacturing operations and processes in the region.

The key players operating in the AI in manufacturing market are Alphabet, Inc. (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), Amazon Web Services, Inc. (U.S.), Siemens AG (Germany), General Electric Company (U.S.), SAP SE (Germany), Robert Bosch GmbH (Germany), Cisco Systems, Inc. (U.S.), Rockwell Automation, Inc. (U.S.), Advanced Micro Devices, Inc. (U.S.), and Sight Machine Inc. (U.S.).

Key questions answered in the report:

  • Which are the high-growth market segments in terms of the component type, technology, application, industry vertical, and countries?
  • What is the historical market for artificial intelligence in manufacturing across the globe?
  • What are the market forecasts and estimates from the period of 2021-2028?
  • What are the major drivers, restraints, opportunities, and trends in the artificial intelligence in manufacturing market?
  • Who are the major players in the artificial intelligence in manufacturing market, and what are their market shares?
  • How is the competitive landscape?
  • What are the recent developments in the artificial intelligence in manufacturing market?
  • What are the different strategies adopted by the major players operating in the artificial intelligence in manufacturing market?
  • What are the geographical trends and high-growth countries?
  • Who are the local emerging players in the artificial intelligence in manufacturing market and how do they compete with the other players?

Scope of the Report:


Artificial Intelligence in Manufacturing Market, by Component

  • Hardware
  • Processors
  • Memory Solutions
  • Networking Solutions
  • Software
  • AI Platforms
  • AI Solutions
  • Services
  • Deployment & Integration
  • Support & Maintenance

Artificial Intelligence in Manufacturing Market Market, by Technology

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Speech and Voice Recognition
  • Context-Aware Computing

Artificial Intelligence in Manufacturing Market Market, by Application

  • Predictive Maintenance & Machinery Inspection
  • Quality Management
  • Supply Chain Optimization
  • Industrial Robot / Robotics & Factory Automation
  • Production Planning
  • Material Handling
  • Field Services
  • Safety Planning
  • Cybersecurity
  • Energy management

Artificial Intelligence in Manufacturing Market Market, by Industry Vertical

  • Automotive
  • Semiconductors & Electronics
  • Heavy Metals & Machine Manufacturing
  • Energy & Power
  • Aerospace & Defense
  • Medical Devices
  • Pharmaceuticals
  • FMCG

Artificial Intelligence in Manufacturing Market Market, by Geography

  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • U.K.
  • France
  • Italy
  • Spain
  • Netherlands
  • Russia
  • Ireland
  • Turkey
  • Rest of Europe
  • Asia-Pacific
  • Japan
  • China
  • India
  • South Korea
  • Australia & New Zealand
  • Thailand
  • Indonesia
  • Taiwan
  • Vietnam
  • Rest of Asia-Pacific
  • Latin America
  • Mexico
  • Brazil
  • Rest of Latin America
  • Middle East & Africa
Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • Alphabet Inc.
  • Cisco Systems Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Rockwell Automation Inc.

1. Introduction
1.1. Market Ecosystem
1.2. Currency and Limitations
1.2.1. Currency
1.2.2. Limitations
1.3. Key Stakeholders
2. Research Methodology
2.1. Research Approach
2.2. Data Collection & Validation
2.2.1. Secondary Research
2.2.2. Primary Research
2.3. Market Assessment
2.3.1. Market Size Estimation
2.3.2. Bottom-Up Approach
2.3.3. Top-Down Approach
2.3.4. Growth Forecast
2.4. Assumptions for the Study
3. Executive Summary
3.1. Overview
3.2. Market Analysis, by Component
3.3. Market Analysis, by Technology
3.4. Market Analysis, by Application
3.5. Market Analysis, by Industry Vertical
3.6. Market Analysis, by Geography
3.7. Competitive Analysis
4. The Impact of Covid-19 On the AI in Manufacturing Market
4.1. Key Innovations
4.2. AI Supply Chain in Manufacturing
5. Market Insights
5.1. Introduction
5.2. Market Dynamics
5.2.1. Drivers
5.2.1.1. Advent of Industry 4.0
5.2.1.2. Increasing Volumes of Complex Datasets
5.2.1.3. Rising Adoption of Industrial IoT and Automation
5.2.2. Restraints
5.2.2.1. High Procurement & Operating Costs and A Lack of Infrastructure
5.2.3. Opportunities
5.2.3.1. Growing Scale of Manufacturing Operations in Emerging Economies
5.2.3.2. Rising Acceptance of Modern Manufacturing Techniques
5.2.3.3. Increasing Deployment of Automation Technologies
5.2.4. Challenges
5.2.4.1. Privacy and Data Protection Concerns
5.2.5. Trends
5.2.5.1. Market Trends
5.2.5.1.1. Increasing Demand for Factory Automation
5.2.5.2. Technology Trends
5.2.5.2.1. Rising Adoption of 5G Technology
5.2.5.2.2. Growing Use of Computer Vision in Manufacturing Applications
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. AI in Manufacturing Market, by Application
8.1. Introduction
8.2. Predictive 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. AI 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. AI in Manufacturing Market, by Geography
10.1. Introduction
10.2. Asia-Pacific
10.2.1. China
10.2.2. Japan
10.2.3. South Korea
10.2.4. India
10.2.5. Australia & New Zealand
10.2.6. Thailand
10.2.7. Indonesia
10.2.8. Taiwan
10.2.9. Vietnam
10.2.10. Rest of Asia-Pacific (RoAPAC)
10.3. North America
10.3.1.U.S.
10.3.2. Canada
10.4. Europe
10.4.1. Germany
10.4.2.U.K.
10.4.3. Italy
10.4.4. France
10.4.5. Spain
10.4.6. Netherlands
10.4.7. Russia
10.4.8. Ireland
10.4.9. Turkey
10.4.10. Rest of Europe (RoE)
10.5. Latin America
10.5.1. Mexico
10.5.2. Brazil
10.5.3. Rest of Latin America (RoLATAM)
10.6. Middle East & Africa
11. Competitive Landscape
11.1. Introduction
11.2. Key Growth Strategies
11.2.1. Market Influencers
11.2.2. Synergy Analysis: Major Deals & Strategic Alliances
11.3. Competitive Dashboard
11.3.1. Industry Leaders
11.3.2. Market Differentiators
11.3.3. Vanguards
11.3.4. Contemporary Stalwarts
11.4. Vendor Market Positioning
11.5. Key Ranking
12. Company Profiles (Business Overview, Financial Overview, Product Portfolio, Strategic Developments)
12.1. Alphabet, Inc.
12.2. IBM Corporation
12.3. Intel Corporation
12.4. Microsoft Corporation
12.5. NVidia Corporation
12.6. Oracle Corporation
12.7. Amazon Web Services, Inc. (Amazon.Com, Inc.)
12.8. Siemens AG
12.9. General Electric Company
12.10.SAP SE
12.11. Robert Bosch GmbH
12.12. Cisco Systems, Inc.
12.13. Rockwell Automation, Inc.
12.14. Advanced Micro Devices, Inc. (AMD)
12.15. Sight Machine, Inc.
13. Appendix
13.1. Questionnaire
13.1.1. Available Customization
Note: Product cover images may vary from those shown

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  • Alphabet Inc.
  • IBM Corporation
  • Intel Corporation
  • Microsoft Corporation
  • Nvidia Corporation
  • Oracle Corporation
  • Amazon Web Services Inc.
  • Siemens AG
  • General Electric Company
  • SAP SE
  • Robert Bosch GmbH
  • Cisco Systems Inc.
  • Rockwell Automation Inc.
  • Advanced Micro Devices Inc.
  • Sight Machine Inc
Note: Product cover images may vary from those shown