The Artificial Intelligence in Manufacturing Market

Artificial Intelligence (AI), is also called as machine intelligence, refers to a broad range of branch of computer science concerned with building smart machines which have the ability to carry out tasks which need human intelligence. Artificial Intelligence technology is creating its way into the manufacturing sector and several machine-learning technologies and pattern-recognition software are being utilized to change the manufacturing process. Machines are installed with cameras linked to the AI-based software to identify even the smallest defects. The global artificial intelligence in manufacturing market is anticipated to witness a robust growth over the forecast period owing to the rising venture capital investments and the enormous availability of big data across the world. Several artificial intelligence technologies are being broadly deployed by manufacturers in various industries such as automotive, pharmaceuticals, food and beverages and energy & power. In addition, the robust demand for automation, along with the rapidly developing industries and industrial IoT is promoting the manufacturers to opt for various AI-enabled technologies to capture the shifting demand of the target audience. The increasing demand for hardware platforms and rising needs for high-computing processors to run a wide array of AI software will further foster the demand of the market. Furthermore, the huge demand for machine learning technologies and computer vision to survey different machines, followed by the propelling the adoption of AI technologies in factories to minimize machine downtime, increase productivity and curb the operational cost will promote the end-users to opt for various AI technologies in the manufacturing process. However, the heavy cost incurred in implementing this technology and great threat to human dignity is projected to restrain the market growth.

The emergence of the COVID-19 crisis will have a positive influence on the market. The rising focus on staying at homes and maintaining social distance is propelling the manufacturers towards the adoption for AI technologies to bring automation in the manufacturing and reduce the physical contact among the workers, thereby avoiding the possibilities of the spread of the coronavirus.

The global Artificial Intelligence in Manufacturing Market is segregated on the basis of Deployment as On-Premise and Cloud. Based on Technology the global Artificial Intelligence in Manufacturing Market is segmented in Machine Learning (ML), Computer Vision, Context Awareness and Natural Language Processing (NLP). Based on Application the global Artificial Intelligence in Manufacturing Market is segmented in Material Movement, Predictive Maintenance & Machinery Inspection, Production Planning, Field Services and Quality Control & Reclamation. Based on Industries the global Artificial Intelligence in Manufacturing Market is segmented in Semiconductor & Electronics, Energy & Power, Pharmaceutical, Automobile, Heavy Metal & Machine Manufacturing and Others.

The global Artificial Intelligence in Manufacturing Market report provides geographic analysis covering regions, such as Europe, North America, Asia Pacific, and Rest of The World. The Artificial Intelligence in Manufacturing Market for each region is further segmented for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.

Competitive Analysis

Nvidia, Intel, IBM, Siemens, General Electric (GE) Company and others are among the major players in the global Artificial Intelligence in Manufacturing Market. The companies studied in terms of product strategy and various n several growth and expansion strategies to gain a competitive edge in the market. The major players not only follow value chain integration with business operations in multiple stages of the value chain.

• In June 2020, Wipro Limited (India) declared collaboration with IBM to support Wipro customers in embarking on a flawless and secure hybrid cloud journey. Through this collaboration, Wipro will develop hybrid cloud offerings to support businesses migrate, manage and change mission-critical workloads and applications, with security among public or private cloud and on-premises IT environments. Wipro will influence IBM Cloud offerings and technologies and also in-house services to develop industry solutions for clients in banking and financial services, manufacturing, retail, energy and utilities and healthcare space.
• In May 2020, the NVIDIA introduced two significant products for its EGX Edge AI platform — the EGX A100 for larger commercial off-the-shelf servers and the tiny EGX Jetson Xavier NX for micro-edge servers — providing high-performance, secure AI processing at the edge. With the NVIDIA EGX Edge AI platform, stores, hospitals, farms and factories can perform real-time processing and protection of huge amounts of data streaming from trillions of edge sensors. The platform makes it feasible to safely deploy, manage and update fleets of servers remotely.

The global Artificial Intelligence in Manufacturing Market has been segmented as below:

Artificial Intelligence in Manufacturing Market, By Deployment

• On-Premise
• Cloud

Artificial Intelligence in Manufacturing Market, By Technology

• Machine Learning ( ML)
• Computer Vision
• Context Awareness
• Natural Language Processing(NLP)

Artificial Intelligence in Manufacturing Market, By Application

• Material Movement
• Predictive Maintenance & Machinery Inspection
• Production Planning
• Field Services
• Quality Control & Reclamation

Artificial Intelligence in Manufacturing Market, By Industries

• Semiconductor & Electronics
• Energy & Power
• Pharmaceutical
• Automobile
• Heavy Metal & Machine Manufacturing
• Others

Artificial Intelligence in Manufacturing Market, By Region

• Europe
• North America
• Asia Pacific
• Rest of The World

Artificial Intelligence in Manufacturing Market, By Company

• Nvidia
• Intel
• IBM
• Siemens
• General Electric (GE) Company
• Google
• Microsoft
• Micron Technology
• Amazon Web Services (AWS)
• Sight Machine
• Progress Software Corporation (Datarpm)
• Aibrain
• General Vision
• Rockwell Automation
• Cisco Systems
• Mitsubishi Electric
• Oracle
• SAP
• Vicarious
• Ubtech Robotics
• Alphabet Inc.
• General Vision Inc.

The report covers the below scope:

• Global Artificial Intelligence in Manufacturing Market sizes from 2020 to 2026, along with CAGR for 2020-2026
• Market size comparison for 2019 vs 2026, with actual data for 2019, estimates for2019 and forecast from 2020 to 2026
• Global Artificial Intelligence in Manufacturing Market trends, covering comprehensive range of consumer trends & manufacturer trends
• Value chain analysis covering participants from raw material suppliers to the downstream buyer in the global Artificial Intelligence in Manufacturing Market
• Major market opportunities and challenges in forecast timeframe to be focused
• Competitive landscape with analysis on competition pattern, portfolio comparisons, development trends and strategic management
• Comprehensive company profiles of the key industry players

The years considered for the study are as follows:

• Base year - 2019
• Estimated year - 2019
• Projected year - 2020
• Forecast period - 2021 to 2026

Report Scope:

The global Artificial Intelligence in Manufacturing Market report scope includes detailed study covering underlying factors influencing the industry trends. The report covers analysis on regional and country level market dynamics. The scope also covers competitive overview providing company market shares along with company profiles for major revenue contributing companies. The report scope includes detailed competitive outlook covering market shares and profiles key participants in the global Artificial Intelligence in Manufacturing Market share. Major industry players with significant revenue share include Nvidia, Intel, IBM, Siemens, General Electric (GE) Company, Google and others.

Why to Buy this Report:

• Gain detailed insights on the Artificial Intelligence in Manufacturing industry trends
• Find complete analysis on the market status
• Identify the Artificial Intelligence in Manufacturing Market opportunities and growth segments
• Analyse competitive dynamics by evaluating business segments & product portfolios
• Facilitate strategy planning and industry dynamics to enhance decision making

Target Audience:

• The report targeted towards the existing players in the industry is as follows:
• Market Manufacturers/Service Providers
• Market Wholesale/Traders
• Investment and Financial Institutions

Free and Paid Customization based on the requirement

1.      Introduction

1.1.       Key Points

1.2.      Report Description

1.3.      Markets Covered

1.4.      Stakeholders

2.     Research Methodology

2.1.      Research Scope

2.2.     Research Methodology

2.2.1.     Market Research Process

2.2.2.    Research Methodology

2.2.2.1.           Secondary Research

2.2.2.2.          Primary Research

2.2.2.3.          Models for Estimation

2.3.     Market Size Estimation

2.3.1.     Bottom-Up Approach

2.3.2.    Top-Down Approach

3.     Executive Summary

4.    Market Overview

4.1.      Introduction

4.2.     Drivers

4.3.     Restraints

4.4.     Opportunities

4.5.     Challenges

5.     Artificial Intelligence in Manufacturing Market, By Deployment

5.1.      Key Points

5.2.  On-Premise

5.3.  Cloud

6.    Artificial Intelligence in Manufacturing Market, By Technology

6.1.      Key Points

6.2. Machine Learning ( ML)

6.3. Computer Vision

6.4. Context Awareness

6.5.  Natural Language Processing(NLP)

7.     Artificial Intelligence in Manufacturing Market, By Application

7.1.      Key Points

7.2.  Material Movement

7.3.  Predictive Maintenance & Machinery Inspection

7.4.  Production Planning

7.5.  Field Services

7.6.  Quality Control & Reclamation

8.    Artificial Intelligence in Manufacturing Market, By Industries

8.1.      Key Points

8.2. Semiconductor & Electronics

8.3. Energy & Power

8.4. Pharmaceutical

8.5. Automobile

8.6. Heavy Metal & Machine Manufacturing

8.7.  Others

9.    Competitive Landscape

9.1.      Introduction

9.2.     Start-up companies- Artificial Intelligence in Manufacturing Market

9.3.     Recent Developments

9.3.1.     Mergers & Acquisitions

9.3.2.    New Product Developments

9.3.3.    Portfolio/Production Capacity Expansions

9.3.4.    Joint Ventures, Collaborations, Partnerships & Agreements

9.3.5.     Others

10.            Company Profile

10.1. Nvidia

10.2.    Intel

10.3.    IBM

10.4.    Siemens

10.5.    General Electric (GE) Company

10.6.    Google

10.7.     Microsoft

10.8.    Micron Technology

10.9.    Amazon Web Services (AWS)

10.10.Sight Machine

10.11.  Progress Software Corporation (Datarpm)

10.12. Aibrain

10.13. General Vision

10.14. Rockwell Automation

10.15. Cisco Systems

10.16. Mitsubishi Electric

10.17. Oracle

10.18.SAP

10.19. Vicarious

10.20.    Ubtech Robotics

10.21. Alphabet Inc.

10.22.     General Vision Inc.