AI in Manufacturing Market - Demand, Investment Feasibility and Forecast 2028 by Top Leading Key Companies are NVIDIA Corp., IBM Corp., Intel Corp., Siemens AG, General Electric Company, Alphabet Inc. (Google LLC), Microsoft Corp., Micron Technology Inc.,

The global AI in manufacturing market is estimated to witness a growth rate of more than 36% during forecast the period of 2022-2028. The machine learning technology and pattern-recognition software act as the key to transforming manual factories units into AI manufacturing units. In the manufacturing sector, AI assists in organizing data, visual inspection, predictive maintenance, quality control, shortening design time, improving production reuse, assembling, and transforming predictive analysis in the manufacturing tasks. There is a significant rise in the adoption of big data in manufacturing industry. With the growing digitalization, big data is on a rise. Big data is quickly becoming a significant element of the fourth generation of ERP (Enterprise Resource Planning) technology.

The ability of Big data to engage data, people, and processes is assisting in creating a new era for manufacturing. Further, the rising demand for human-robot collaboration in the manufacturing sector for overall cost reduction further gives a boost to the growth of the market. Robots play an imperative role in the manufacturing sector. The rise of AI industrial robots witnessed a hefty expansion in developed countries and certainly seems to be inevitable, being driven by a range of production demands, including continued adaptation to the proliferation of automation and the IoT, and the need for safer and more simplified robotic technologies to work in collaboration with humans.

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Market Segmentation

The global AI in manufacturing market has been analyzed on the basis of component, deployment, technology, application, end-user, and region. Based on the component, the market is segmented into hardware, software, and services. The software segment is estimated to hold a prominent share in the market. Based on deployment, the market is bifurcated into on-premise and cloud. Among these, cloud deployment segment is projected to exhibit remarkable growth during the forecast period. Further, on the basis of technology, the market covers the analysis of machine learning, natural language processing, context-aware computing, and computer vision.

Based on application, the market is segmented into predictive maintenance & machinery inspection, inventory optimization, production planning, quality control, cyber security, industrial robots, and others (field services). Predictive maintenance application dominates the market while quality control application is growing rapidly. Further, on the basis of end-user, the market is segmented into automotive, food & beverage, healthcare & pharmaceutical, semiconductor & electronics, energy & powers, and others. Geographically, the market is analyzed into North America, Western Europe, Eastern Europe, Asia Pacific, Latin America, and Middle East & Africa.

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Market Structure and Competition Landscape

The growth of the global AI in manufacturing market is characterized by the presence of players operating in the market. Some of the prominent players that contribute significantly to the market growth include NVIDIA Corp., IBM Corp., Intel Corp., Siemens AG, General Electric Company, Alphabet Inc. (Google LLC), Microsoft Corp., Micron Technology Inc., Amazon.com Inc. (Amazon Web Services Inc.), Oracle Corp., SAP SE, Cisco Systems Inc., Mitsubishi Electric Corp., Salesforce Inc., and SparkCognition, among others. These players adopt various strategies in order to reinforce their market share and gain a competitive edge over other competitors in the market. Acquisitions and product launches are among the key strategies adopted by major industry players. For instance-

In January 2022, the GeForce RTX 3050 product was launched by NVIDIA Corp. GeForce RTX 3050 product brings next-generation graphics and AI to games. Ray tracing technology is equipped in the RTX line-up for real-time, cinematic-quality rendering. Moreover, features such as deep learning super sampling and boosts frame rate are also equipped in this product.

In December 2021, IBM Z and Cloud Modernization Center digital platforms were launched by IBM. These platforms offer a wide range of tools and resources, as well as ecosystem partners, which enable users to accelerate the modernization of data, processes, and applications in an open hybrid cloud architecture.

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Table of Content

Chapter One: Market Introduction

Chapter Two: Assumptions and Acronyms

Chapter Three: Executive Summary

Chapter Four: Research Methodology

Chapter Five: Analysis of COVID-19 Impact and Road Ahead

Chapter Six: Market Indicators and Background

Chapter Seven: Global and Regional Market Dynamics

7.1. Drivers
7.2. Restraints
7.3. Trends
7.4. Opportunities

Chapter Eight: AI in Manufacturing Market: Case Studies

Chapter Nine: Global AI in Manufacturing Market: Use Case Analysis

Chapter Ten: Parent Market Overview

10.1. Global AI Market
10.2. Global Manufacturing Market

Chapter Eleven: Segmental Analysis

11.1. Global AI in Manufacturing Market by Component
11.1.1. Segment Overview
11.1.1.1. Hardware
11.1.1.2. Software
11.1.1.3. Services
11.2. Global AI in Manufacturing Market by Deployment Model
11.2.1. Segment Overview
11.2.1.1. Cloud
11.2.1.2. On-Premise
11.3. Global AI in Manufacturing Market by Technology
11.3.1. Segment Overview
11.3.1.1. Machine Learning
11.3.1.2. Natural Language Processing
11.3.1.3. Context-Aware Computing
11.3.1.4. Computer Vision
11.4. Global AI in Manufacturing Market by Application
11.4.1. Segment Overview
11.4.1.1. Predictive Maintenance and Machinery Inspection
11.4.1.2. Inventory Optimization
11.4.1.3. Production Planning
11.4.1.4. Quality Control
11.4.1.5. Cyber Security
11.4.1.6. Industrial Robots
11.4.1.7. Others (Field Services)
11.5. Global AI in Manufacturing Market by End-User
11.5.1. Segment Overview
11.5.1.1. Automotive
11.5.1.2. Food & Beverages
11.5.1.3. Healthcare & Pharmaceutical
11.5.1.4. Semiconductor & Electronics
11.5.1.5. Energy & Power
11.5.1.6. Others (Textile, Aerospace & Defense)
11.6. Global AI in Manufacturing Market by Region
11.6.1. North America
11.6.2. Latin America
11.6.3. Western Europe
11.6.4. Eastern Europe
11.6.5. Asia Pacific
11.6.6. Middle East & Africa

Chapter Twelve: Regional Analysis

12.1. North America AI in Manufacturing Market Analysis and Forecast2019-2028
12.1.1. Regional Market Overview and Key Takeaways
12.1.2. North America AI in Manufacturing Market by Component
12.1.3. North America AI in Manufacturing Market by Deployment Model
12.1.4. North America AI in Manufacturing Market by Technology
12.1.5. North America AI in Manufacturing Market by Application
12.1.6. North America AI in Manufacturing Market by End-User
12.1.7. North America AI in Manufacturing Market by Country
12.1.7.1. US
12.1.7.2. Canada
12.2. Latin America AI in Manufacturing Market Analysis and Forecast2019-2028
12.2.1. Regional Market Overview and Key Takeaways
12.2.2. Latin America AI in Manufacturing Market by Component
12.2.3. Latin America AI in Manufacturing Market by Deployment Model
12.2.4. Latin America AI in Manufacturing Market by Technology
12.2.5. Latin America AI in Manufacturing Market by Application
12.2.6. Latin America AI in Manufacturing Market by End-User
12.2.7. Latin America AI in Manufacturing Market by Country
12.2.7.1. Brazil
12.2.7.2. Mexico
12.2.7.3. Rest of Latin America
12.3. Western Europe AI in Manufacturing Market Analysis and Forecast2019-2028
12.3.1. Regional Market Overview and Key Takeaways
12.3.2. Western Europe AI in Manufacturing Market by Component
12.3.3. Western Europe AI in Manufacturing Market by Deployment Model
12.3.4. Western Europe AI in Manufacturing Market by Technology
12.3.5. Western Europe AI in Manufacturing Market by Application
12.3.6. Western Europe AI in Manufacturing Market by End-User
12.3.7. Western Europe AI in Manufacturing Market by Country
12.3.7.1. Germany
12.3.7.2. UK
12.3.7.3. France
12.3.7.4. Spain
12.3.7.5. Italy
12.3.7.6. Benelux
12.3.7.7. Nordic
12.3.7.8. Rest of Western Europe
12.4. Eastern Europe AI in Manufacturing Market Analysis and Forecast2019-2028
12.4.1. Regional Market Overview and Key Takeaways
12.4.2. Eastern Europe AI in Manufacturing Market by Component
12.4.3. Eastern Europe AI in Manufacturing Market by Deployment Model
12.4.4. Eastern Europe AI in Manufacturing Market by Technology
12.4.5. Eastern Europe AI in Manufacturing Market by Application
12.4.6. Eastern Europe AI in Manufacturing Market by End-User
12.4.7. Eastern Europe AI in Manufacturing Market by Country
12.4.7.1. Russia
12.4.7.2. Poland
12.4.7.3. Rest of Eastern Europe
12.5. Asia Pacific AI in Manufacturing Market Analysis and Forecast2019-2028
12.5.1. Regional Market Overview and Key Takeaways
12.5.2. Asia Pacific AI in Manufacturing Market by Component
12.5.3. Asia Pacific AI in Manufacturing Market by Deployment Model
12.5.4. Asia Pacific AI in Manufacturing Market by Technology
12.5.5. Asia Pacific AI in Manufacturing Market by Application
12.5.6. Asia Pacific AI in Manufacturing Market by End-User
12.5.7. Asia Pacific AI in Manufacturing Market by Country
12.5.7.1. China
12.5.7.2. Japan
12.5.7.3. India
12.5.7.4. South Korea
12.5.7.5. Australia
12.5.7.6. ASEAN
12.5.7.7. Rest of Asia-Pacific
12.6. Middle East & Africa AI in Manufacturing Market Analysis and Forecast2019-2028
12.6.1. Regional Market Overview and Key Takeaways
12.6.2. Middle East & Africa AI in Manufacturing Market by Component
12.6.3. Middle East & Africa AI in Manufacturing Market by Deployment Model
12.6.4. Middle East & Africa AI in Manufacturing Market by Technology
12.6.5. Middle East & Africa AI in Manufacturing Market by Application
12.6.6. Middle East & Africa AI in Manufacturing Market by End-User
12.6.7. Middle East & Africa AI in Manufacturing Market by Country
12.6.7.1. GCC
12.6.7.2. South Africa
12.6.7.3. Turkey
12.6.7.4. Rest of the Middle East & Africa

Chapter Thirteen: Competitive Landscape

13.1. Competition Dashboard
13.1.1. Global and Regional Market Share Analysis
13.1.2. Market Structure
13.2. Competitive Benchmarking
13.3. Key Strategy Analysis
13.4. Company Profiles
13.4.1. NVIDIA Corp.
13.4.1.1. Company Overview
13.4.1.2. Product/Service Offerings
13.4.1.3. Key Financials
13.4.1.4. Recent Developments
13.4.2. IBM Corp.
13.4.2.1. Company Overview
13.4.2.2. Product/Service Offerings
13.4.2.3. Financials
13.4.2.4. Recent Developments
13.4.3. Intel Corp.
13.4.3.1. Company Overview
13.4.3.2. Product/Service Offerings
13.4.3.3. Financials
13.4.3.4. Recent Developments
13.4.4. Siemens AG
13.4.4.1. Company Overview
13.4.4.2. Product/Service Offerings
13.4.4.3. Financials
13.4.4.4. Recent Developments
13.4.5. General Electric Company
13.4.5.1. Company Overview
13.4.5.2. Product/Service Offerings
13.4.5.3. Financials
13.4.5.4. Recent Developments
13.4.6. Alphabet Inc. (Google LLC)
13.4.6.1. Company Overview
13.4.6.2. Product/Service Offerings
13.4.6.3. Financials
13.4.6.4. Recent Developments
13.4.7. Microsoft Corp.
13.4.7.1. Company Overview
13.4.7.2. Product/Service Offerings
13.4.7.3. Financials
13.4.7.4. Recent Developments
13.4.8. Micron Technology Inc.
13.4.8.1. Company Overview
13.4.8.2. Product/Service Offerings
13.4.8.3. Financials
13.4.8.4. Recent Developments
13.4. 9. Amazon. com Inc. (Amazon Web Services Inc. )
13.4. 9.1. Company Overview
13.4. 9.2. Product/Service Offerings
13.4. 9.3. Financials
13.4. 9.4. Recent Developments
13.4.10. Oracle Corp
13.4.10.1. Company Overview
13.4.10.2. Product/Service Offerings
13.4.10.3. Financials
13.4.10.4. Recent Developments
13.4.11. SAP SE
13.4.11.1. Company Overview
13.4.11.2. Product/Service Offerings
13.4.11.3. Financials
13.4.11.4. Recent Developments
13.4.12. Cisco Systems Inc.
13.4.12.1. Company Overview
13.4.12.2. Product/Service Offerings
13.4.12.3. Financials
13.4.12.4. Recent Developments
13.4.13. Mitsubishi Electric Corp.
13.4.13.1. Company Overview
13.4.13.2. Product/Service Offerings
13.4.13.3. Financials
13.4.13.4. Recent Developments
13.4.14. Salesforce Inc.
13.4.14.1. Company Overview
13.4.14.2. Product/Service Offerings
13.4.14.3. Financials
13.4.14.4. Recent Developments
13.4.15. SparkCognition
13.4.15.1. Company Overview
13.4.15.2. Product/Service Offerings
13.4.15.3. Financials
13.4.15.4. Recent Developments

Chapter Fourteen: Disclaimer

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