Artificial Intelligence (AI) in manufacturing is defined as a simulation of human intelligence used to communicate with the machines, extract the data from the field, analyze that data, and perform the required task. From material movement to machinery inspection and self-diagnostics, which are usually operated by human labor or robot with the help of human intelligence, the AI-based system would perform in lesser time, cost, and human intervention

COMPETITIVE LEADERSHIP MAPPING TERMINOLOGY

The Artificial Intelligence in Manufacturing vendors are placed into 4 categories based on their performance and reviews in each criterion: “visionary leaders,” “innovators,” “dynamic differentiators,” and “emerging companies". Among all the Artificial Intelligence in Manufacturing vendors, the top 25 have been evaluated, including Alphabet Inc.(US), Microsoft Corporation (US), Omron Adept Technologies (US)DataRPM (US), General Vision, Inc. (US),Sight Machine (US), and AIBrain (US) and other companies.

VISIONARY LEADERS

Visionary leaders are the leading market players in terms of new developments such as product launches, innovative technologies, and adoption of growth strategies. This quadrant receives high scores for the most evaluation criteria. They have a strong service portfolio, a robust market presence, and effective business strategies across the world. The Artificial Intelligence in manufacturing market is moderately dominated by Tier 1 players. These players have a broad product offering that caters to most of the regions globally. Visionary leaders primarily focus on acquiring the leading market position through their strong financial capabilities and their well-established brand equity. NVIDIA Corporation (US), Siemens AG (Germany), IBM Corporation (US), Intel Corporation (US), General Electric Company (US), Alphabet Inc. (US), and Microsoft Corporation (US) are the major Visionary leaders in the Artificial Intelligence in manufacturing market.

INNOVATORS

Innovators demonstrate substantial product innovations compared with their competitors. They have a focused service portfolio. However, they do not have effective growth strategies for their overall business, and their geographical presence is low. The Artificial Intelligence in manufacturing market depends on innovators to some extent as they require moderate capital investment for the designing and manufacturing products, and it is not very difficult for new players to enter this market. Moreover, there is a high demand for these products; therefore, new players can make steady profits. Major innovators in the AI in manufacturing market are AIBrain Inc. (US), Kespry, Inc. (US), SkyMind, Inc. (US), CloudMinds Technologies (US), Citrine Informatics (US), and Arimo, Inc. (US).

DYNAMIC Differentiators

Dynamic differentiators are established vendors with effective business strategies and market presence. However, they have a weak service portfolio. They focus on a specific type of technology related to the product. There have been many companies in the Artificial Intelligence in manufacturing market since the past decade that is largely dependent on their competitive R&D activities. DataRPM (US), Sight Machine (US), General Vision, Inc. (US), Preferred Networks, Inc. (Japan), and Rockwell Automation, Inc. (US) are the major dynamic differentiators in the AI in manufacturing market.

EMERGING COMPANIES

Emerging companies have niche service offerings and are gaining traction in the market. They do not have effective business strategies compared with other established players. They might be new entrants in the market and require more time before gaining significant traction in the market. The emerging companies do not have a wider market presence. The Artificial Intelligence in manufacturing market poses a moderate threat to new entrants in establishing their footprints, as there are many players who are providing AI products in the manufacturing market to diverse clientele groups globally. Some of the emerging players are Vicarious, Inc. (US), Ubtech Robotics Corp. (China), Tamr, Inc. (US), Krtkl, Inc.(US), Darktrace (UK), DataRobot (US), and Omron Adept Technologies, Inc. (US).

TOP VENDORS
In Artificial Intelligence in Manufacturing

  1. INTEL CORPORATION
    0 Reviews
    4.4
  2. NVIDIA CORPORATION
    0 Reviews
    4.4
  3. IBM CORPORATION
    0 Reviews
    4.1

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Artificial Intelligence in Manufacturing Quadrant

Comparing [object Object] vendors in Artificial Intelligence in Manufacturing across 71 criteria.
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KEY BUYING CRITERIA

Below criteria are most commonly used for comparing Artificial Intelligence in Manufacturing tools.
Product Maturity
Company Maturity
Most IMPORTANT
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0.0
0.0
Breadth and Depth of Product Offerings
4.00
4.95
4.95
Features and Functionality
4.00
4.95
4.95
Scalability
4.00
4.00
3.10
Support and Services
4.00
4.00
4.00
LEAST IMPORTANT LESS IMPORTANT

TOP VENDORS

  • The company has designed Deep Learning Inference Accelerator (DLIA), integrated hardware, software frameworks, and libraries such as Intel Math Kernel Library for Deep Neural Networks (MKL-DNN) and Caffe, which simplifies the neural-network acceleration for image processing applications.

    BUYERS
    VENDORS
    EXPERTS
    4.4
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1968
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • NVIDIA Corporation is one of the leading providers of deep learning hardware. The company also provides AI platforms, which is used in manufacturing plant. NVIDIA Corporation has designed an AI supercomputer—NVIDIA DGX Station for easy experimentation at the office, lab, or workspace. This integrated hardware and software solution helps the user to research more on deep learning for various purposes in manufacturing. This solution reduces both the expenditure and time, as well as has a computing capacity of four server racks. In addition the company’s continuous technological advancements have resulted in its very high rating.

    BUYERS
    VENDORS
    EXPERTS
    4.4
    ANALYSTS
     
    • Enterprise
    • 501 to 1,000
  • IBM Watson’s Intelligent Asset and Equipment Solutions improves the reliability and performance of machines in the manufacturing plant through better visibility, predictability, and operational efficiency. IBM Plant Performance Analytics predicts equipment failure, prescribes remedial procedures, and optimizes maintenance schedules to minimize the impact on the overall equipment effectiveness. IBM Prescriptive Maintenance on Cloud gets a prediction of machine performance issues, percentage probabilities of occurrence, probable time to occurrence, probable time to recover, and root causes.

    BUYERS
    VENDORS
    EXPERTS
    4.1
    ANALYSTS
     
    • Enterprise
    • New York, US
    • Founded: 1911
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • Google Cloud Machine Learning Engine, part of Google’s AI platform, is a managed service that enables engineers and data scientists build and run superior machine learning models in production. Cloud ML Engine offers training and prediction services, which can be used together or individually. It has been used by enterprises to solve problems ranging from identifying clouds in satellite images, ensuring food safety, and responding four times faster to customer emails. The training and prediction services within ML Engine are now referred to as AI Platform Training and AI Platform Prediction.

    BUYERS
    VENDORS
    EXPERTS
    3.9
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1998
    • More than $100 BN
    • 75,001 to 1,00,000
  • GE Predix platform is used for Industrial IoT app development purpose. This is divided into three segments—Edge Connectivity and Insight, Cloud Application Services, and Apps Visibility and Insight. The Edge Connectivity and Insight connect the assets, gateways, controller, sensors with Edge Analytics, whereas the Cloud Application Services provide Digital Twin Modeling and Analytics Platform. The Predix Apps is an industrial intelligence dashboard, which provides prediction analysis and conditions of assets, operations, and business. The company’s digital twin solution provides a wide range of solutions for predictive maintenance and machinery inspection in the manufacturing sector.

    BUYERS
    VENDORS
    EXPERTS
    3.8
    ANALYSTS
     
    • Enterprise
    • Massachusetts, US
    • Founded: 1892
    • More than $100 BN
    • 1,00,001 to 5,00,000
  • Microsoft AI technology provides the intelligence to see, hear, recognize faces, detect emotions, interpret language, infer intent, and prescribe and automate outcomes.Microsoft Corporation has a moderate number of products in the AI in manufacturing market.

    BUYERS
    VENDORS
    EXPERTS
    3.5
    ANALYSTS
     
    • SME
    • Washington, US
    • Founded: 1975
    • 1,00,001 to 5,00,000
  • Siemens AG offers Intelligent Data Analysis, a machine learning technology that is used to optimize industrial facilities. This technology is also used in energy distribution, electric motors, and rail technology. Moreover, the company’s AI-based technology improves the operation of wind turbines by adjusting the position of the rotors to change the direction of the wind to get the highest amount of yield from a wind farm. The company’s industrial operating system “MindSphere” provides intelligent data analysis with regard to predictive maintenance.

    BUYERS
    VENDORS
    EXPERTS
    3.4
    ANALYSTS
     
    • Enterprise
    • Bavaria, Germany
    • Founded: 1847
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • DataRPM Cognitive Anomaly Detection and Prediction (CADP) is a comprehensive solution for achieving asset failure management that helps to enhance overall productivity. It uses meta-learning technology to automate predictions of asset failures. This ensures users to leverage the deluge of data generated by their machines to gain accurate insights into predicting asset breakdowns. Also, field technicians can take well-informed and proactive decisions to ensure minimal disruptions on the production floor. All this is possible by automating cognitive predictive maintenance, a process that is beyond human management.

    BUYERS
    VENDORS
    EXPERTS
    2.9
    ANALYSTS
     
    • Enterprise
    • 501 to 1,000
  • The company offers neural network chips such as NeuroMem CM1K Chip, Intel Curie, BrainCard, CurieNeurons, and NeuroStack. This is utilized for machine learning and voice/recognition applications in AI software for manufacturing. It also provides hardware for faster calculations, which is required for deep learning technology.

    BUYERS
    VENDORS
    EXPERTS
    2.6
    ANALYSTS
     
    • Enterprise
    • 501 to 1,000
  • The Sight Machine Platform is used for various application in the manufacturing industry, which includes machinery inspection, prediction maintenance, and field service. Moreover, this platform provides customized solutions, which indicates high scalability, thereby resulting in the company’s high rating for overall product strategies.

    BUYERS
    VENDORS
    EXPERTS
    2.5
    ANALYSTS
     
    • Enterprise
    • 501 to 1,000
  • Skymind provides AI platform that enables data scientists and IT teams to quickly prototype, deploy, maintain, and retrain machine learning workflows that accelerate time to value. Skymind bridges the gap between data science, DevOps and the big data stack. It is an ML platform that directs engineers and data scientists through the complete workflow of building and deploying machine learning models for enterprise applications on JVM infrastructure. It can be installed on any environment: cloud, on-premises, bare-metal, or hybrid systems.

    BUYERS
    VENDORS
    EXPERTS
    2.4
    ANALYSTS
     
    • Enterprise
    • 501 to 1,000
  • The snickerdoodle platform by KRTL, offers flexibility and optimized power and speed. It uses the Xilinx Zynq®-7000 SoC combining the ARM ecosystem with the reconfigurability of an FPGA. It offers hardware, software, and engineering solutions to mission-, safety-, and business-critical problems with core competencies in the areas of embedded systems, robotics and automation, wireless and wired communications, audio/video processing, and computer vision.

    BUYERS
    VENDORS
    EXPERTS
    2.1
    ANALYSTS
     
    • Enterprise
    • 501 to 1,000
  • AIBrain has developed a reasoning engine called Adaptive Interactive Cognitive Reasoning Engine (AICoRE). AICoRE fully automates the end-to-end reasoning process; from sensing, reasoning, discovering, planning, learning, remembering, and responding to performing different manufacturing processes—such as machine inspection, material movement, and predictive analysis. AIBrain also offers Cognitive Multi-Agent Planner (CMAP), a solution that deals with real-world problems while interacting with multiple humans. Furthermore, AIBrain provides personal robots and conversational AI assistants in the AI in manufacturing market. For developers, AIBrain has created an intelligent robot-building software named Intelligent Robot Software Platform (IRSP).

    BUYERS
    VENDORS
    EXPERTS
    ANALYSTS
     
    • Enterprise
  • Oracle offers its Adaptive Intelligent Applications for Manufacturing solution as a part of its artificial intelligence (AI) cloud portfolio. These applications enable manufacturers to detect anomalies during production, analyze the root cause of events, and predict issues before they occur. Manufacturers can use this solution to examine every stage of production, foresee faulty elements and processes, and track the impact of events—from production to customer delivery.

    BUYERS
    VENDORS
    EXPERTS
    ANALYSTS
     
    • Enterprise
    • California, US
    • Founded: 1977
    • S10BN to $50BN
    • 1,00,001 to 5,00,000
  • Rockwell Automation’s new AI module is designed for smart manufacturing and Industry 4.0. Using this module, industrial workers leverage the data generated by their equipment to improve processes and predict production issues with their current automation and control skillset. Rockwell’s new FactoryTalk Analytics LogixAI module, previously known as Project Sherlock, uses AI to detect production anomalies. It then alerts workers to investigate or intervene, as necessary.

    BUYERS
    VENDORS
    EXPERTS
    ANALYSTS
     
    • Enterprise
    • Wisconsin, US
    • Founded: 1903
    • $5BN to $10BN
    • 20,001 to 25,000
  • SAP SE has developed an AI-based on-premise analytics solution known as ‘SAP HANA,’ which is an in-memory data platform that delivers business intelligence, accelerates business processes, and simplifies the factory automation environment. The company also offers ‘SAP Leonardo,’ a cutting-edge solution that integrates IoT, machine learning, and analytics. SAP’s AI portfolio allows manufacturers to adopt new capabilities and business models rapidly.

    BUYERS
    VENDORS
    EXPERTS
    ANALYSTS
     
    • Enterprise
    • Walldorf, Germany
    • Founded: 1972
    • 501 to 1,000

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