NEW YORK, Nov. 27, 2024 /PRNewswire/ — Report with market evolution powered by AI – The global industrial machine vision market size is estimated to grow by USD 5.22 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 9.45% during the forecast period. Significant cost savings in operation due to process control is driving market growth, with a trend towards rise in demand for industrial IoT. However, technical issues in deploying machine vision cameras poses a challenge.Key market players include Adimec Advanced Image Systems bv, ADLINK Technology Inc., Advantech Co. Ltd., Allied Vision Technologies GmbH, AOS Technologies AG, Basler AG, Baumer Holding AG, Cognex Corp., Datalogic SpA, Edmund Optics Inc., ifm electronic gmbh, iX Cameras Ltd, JAI AS, Keyence Corp., Nippon Electro Sensory Devices Co. Ltd., OMRON Corp., Optronis GmbH, Sony Group Corp., Teledyne Technologies Inc., and Toshiba Corp..

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View Free Sample PDF

Market Driver

The Industrial Machine Vision market is thriving due to the increasing trend towards automation and productivity in various industries. Machine Vision technology is essential for automating quality inspection, measurement, and control processes, reducing labor costs, and improving product quality. Smart Factories are integrating AI vision processors, robotics, and IoT to create collaborative work environments. The Automotive sector is a major adopter, using vision-guided robots for object detection, defect detection, and robot guidance. However, challenges such as cyber-attacks, integration, and training persist. Embedded Vision applications in sectors like Pharmaceuticals, Consumer Electronics, and Agriculture are growing, with high processing power, multi-camera support, and deep learning capabilities. Machine Vision solutions include PC-based and smart camera-based systems, hardware, software, and services, catering to various industrial verticals. 

The Industrial Internet of Things (IIoT) is revolutionizing the industrial machine vision market by enabling wireless integration with machine vision systems. This innovation reduces wiring costs through the use of acoustic sensors and wireless mesh networks, all connected to a software system. In the realm of Industry 4.0, an automated industrial setup is developed, which creates a connected ecosystem of devices, machines, and systems. This ecosystem facilitates communication and information exchange, resulting in smart factories with cyber-physical production systems (CPPS) consisting of interconnected machines, logistics systems, and production facilities, all utilizing ICT technologies. 

Request Sample of our comprehensive report now to stay ahead in the AI-driven market evolution!

 Market Challenges

The Industrial Machine Vision market is thriving as automation and productivity become top priorities for businesses. Machine Vision technology is revolutionizing industries like Automotive, Pharmaceutical, and Consumer Electronics by automating quality inspection and process control. However, challenges persist, such as labor costs, integration with smart factories, and cybersecurity concerns. AI Vision Processors, Robotics, and Vision-Guided Robots are driving advancements in quality control, object detection, and defect detection. The market includes various components like PC-based and smart camera-based systems, frame grabbers, LED lighting, and optics. Challenges include safety standards, real-time decision-making, and training. The market offers plug-and-play solutions, software components, and deep learning capabilities to address these challenges. Applications range from counterfeit product detection to traffic monitoring and dimensional gauging. The future of Machine Vision lies in collaboration with robotics, IoT, and autonomous vehicles.Industrial machine vision cameras integrated into industrial robots require both software and hardware to function efficiently. Image clarity is crucial for accurate analysis, and low-resolution cameras may compromise this. External factors like light sources or windows can also impact image quality. The software must analyze images effectively to extract valuable data. However, bugs and software errors can hinder this process. Ensuring clear images and eliminating software issues are essential for the successful implementation of vision-controlled industrial robots.

Discover how AI is revolutionizing market trends- Get your access now!

Segment Overview 

This industrial machine vision market report extensively covers market segmentation by

Product Type1.1 PC-based1.2 Smart cameraComponent 2.1 Hardware2.2 SoftwareGeography 3.1 APAC3.2 North America3.3 Europe3.4 Middle East and Africa3.5 South America

1.1 PC-based- PC-based industrial machine vision systems consist of an industrial computer that manages and communicates with peripheral devices such as lights and cameras. The computer processes inputs from cameras and analyzes information using machine vision software, making decisions that are then communicated to the devices. These systems offer high processing power, flexibility, and the ability to handle multiple cameras or dedicated FPGA processors. The automotive and electronics industries are major adopters of PC-based industrial machine vision systems. In automobile production, these systems are used for structure surveillance, product and quality inspection, and tracking faults or damages. In the electronics industry, PC-based machine vision is essential for functions like solder paste inspection, component placement, and post-reflow inspection. The increasing demand for active safety systems in vehicles and advanced manufacturing processes in electronics is driving the growth of the PC-based industrial machine vision market. Overall, the flexibility and versatility of PC-based systems make them an ideal choice for various applications, contributing to the market’s expansion during the forecast period.

Download a Sample of our comprehensive report today to discover how AI-driven innovations are reshaping competitive dynamics

Research Analysis

Industrial Machine Vision refers to the use of advanced image processing technology in manufacturing environments to automate inspection, measurement, and quality control processes. This technology enhances productivity, reduces labor costs, and improves product quality by minimizing errors in manual processes. Smart factories are increasingly adopting Machine Vision to enable real-time decision-making, ensuring adherence to safety standards, and enhancing the capabilities of robotics in automotive sector applications. Vision-guided robots and AI vision processors are key components of this technology, enabling automated quality inspection and process control solutions. However, challenges such as cyber-attacks and integration issues persist, requiring continuous innovation in Machine Vision Market offerings. Pharmaceutical and chemical industries are significant industrial verticals leveraging Machine Vision for product inspection and ensuring regulatory compliance.

Market Research Overview

Industrial Machine Vision is a critical component of automation and productivity in modern manufacturing, enabling real-time inspection, measurements, and quality control in various industries. Machine Vision systems are essential for smart factories, utilizing AI vision processors, robotics, and IoT to streamline production processes, reduce labor costs, and ensure product quality. These systems can detect objects, defects, and perform dimensional gauging in real-time, integrating seamlessly with collaborative robotics and plug-and-play solutions. The Machine Vision Market encompasses various sectors, including automotive, consumer electronics, pharmaceuticals, and agriculture, among others. Applications range from automated quality inspection and process control solutions to safety and security systems, such as camera surveillance and traffic monitoring. Machine Vision systems offer high processing power, multi-camera support, and deep learning capabilities, enabling real-time decision-making and improving operational efficiency. However, challenges include integration issues, cyber-attacks, and training requirements. Key components of Machine Vision systems include cameras, sensors, processors, frame grabbers, LED lighting, optics, barcode reading technology, and deep learning software. These systems are essential for industries seeking to maintain quality standards, ensure regulatory compliance, and optimize production processes.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

Product TypePC-basedSmart CameraComponentHardwareSoftwareGeographyAPACNorth AmericaEuropeMiddle East And AfricaSouth America

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

View original content to download multimedia:https://www.prnewswire.com/news-releases/industrial-machine-vision-market-to-grow-by-usd-5-22-billion-from-2024-2028–driven-by-cost-savings-via-process-control-and-ais-market-impact—technavio-302316664.html

SOURCE Technavio

BIRMINGHAM, Mich., Nov. 27, 2024 /PRNewswire/ — OneStream, Inc. (“OneStream”) (Nasdaq: OS) announced today that in connection with the previously announced underwritten public offering of 15,000,000 shares of its Class A common stock, which closed on November 18, 2024, the underwriters have exercised in full their option to purchase an additional 2,250,000 shares of Class A common stock at the public offering price of $31.00 per share, less underwriting discounts and commissions. Of the additional shares, 1,351,043 shares were sold by selling stockholders and 898,957 shares were sold by OneStream as part of a non-dilutive “synthetic secondary” transaction (the “Synthetic Secondary”).

OneStream did not receive any proceeds from the sale of shares by the selling stockholders in the public offering. OneStream used all of the net proceeds to it from the public offering to purchase LLC units of OneStream Software LLC (and purchase and cancel an equal number of shares of Class C common stock) from KKR Dream Holdings LLC in the Synthetic Secondary, at a purchase price per unit equal to the public offering price per share of Class A common stock sold in the public offering, net of underwriting discounts and commissions. Accordingly, OneStream did not retain any proceeds from the public offering and, upon the closing of the public offering and the Synthetic Secondary, the total number of outstanding shares of common stock of OneStream and LLC units of OneStream Software LLC remained the same.

Morgan Stanley, J.P. Morgan and KKR acted as lead book-running managers for the offering. Citigroup, BofA Securities and Guggenheim Securities acted as book-running managers and Mizuho, Raymond James, Scotiabank, Truist Securities, BTIG, Piper Sandler, TD Cowen and Wolfe | Nomura Alliance acted as additional book-running managers for the offering. Amerivet Securities, Blaylock Van, LLC, Cabrera Capital Markets LLC, Drexel Hamilton and Loop Capital Markets acted as co-managers for the offering.

A registration statement relating to these securities has been filed with the Securities and Exchange Commission and was declared effective on November 14, 2024. The offering was made only by means of a prospectus. Copies of the prospectus relating to this offering may be obtained from: Morgan Stanley & Co. LLC, Prospectus Department, 180 Varick Street, New York, New York 10014, or email: prospectus@morganstanley.com; and J.P. Morgan Securities LLC, c/o Broadridge Financial Solutions, 1155 Long Island Avenue, Edgewood, NY 11717, or email: prospectus-eq_fi@jpmchase.com and postsalemanualrequests@broadridge.com.

This press release shall not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.

About OneStream

OneStream is how today’s Finance teams can go beyond just reporting on the past and Take Finance Further by steering the business to the future. It’s the leading enterprise finance platform that unifies financial and operational data, embeds AI for better decisions and productivity, and empowers the CFO to become a critical driver of business strategy and execution.

We deliver a comprehensive cloud-based platform to modernize the Office of the CFO. Our Digital Finance Cloud unifies core financial and broader operational data and processes and embeds AI for better planning and forecasting, with an extensible architecture, so customers can adopt and develop new solutions, achieving greater value as their business needs evolve.

With over 1,500 customers, including 15% of the Fortune 500, more than 250 go-to-market, implementation, and development partners and over 1,400 employees, our vision is to be the operating system for modern finance.

Disclaimer

“Wolfe | Nomura Alliance” is the marketing name used by Wolfe Research Securities and Nomura Securities International, Inc. in connection with certain equity capital markets activities conducted jointly by the firms. Both Nomura Securities International, Inc. and WR Securities, LLC are serving as underwriters in the offering described herein. In addition, WR Securities, LLC and certain of its affiliates may provide sales support services, investor feedback, investor education, and/or other independent equity research services in connection with this offering.

Investor Relations Contacts

INVESTOR CONTACT

Anne Leschin
VP, Investor Relations and Strategic Finance
OneStream
investors@onestreamsoftware.com

MEDIA CONTACT

Victoria Borges
Media Relations Contact
OneStream
media@onestreamsoftware.com

View original content:https://www.prnewswire.com/news-releases/onestream-announces-full-exercise-of-underwriters-option-to-purchase-additional-shares-in-secondary-offering-of-class-a-common-stock-302317890.html

SOURCE OneStream, Inc.

BENSALEM, Pa., Nov. 27, 2024 /PRNewswire/ –Law Offices of Howard G. Smith announces that investors with substantial losses have opportunity to lead the securities fraud class action lawsuit against Xiao-I Corporation (“Xiao-I” or the “Company”) (NASDAQ: AIXI).

Class Period: March 9, 2023 – July 12, 2024

Lead Plaintiff Deadline: December 16, 2024

Investors suffering losses on their Xiao-I investments are encouraged to contact the Law Offices of Howard G. Smith to discuss their legal rights in this class action at 215-638-4847 or by email to howardsmith@howardsmithlaw.com.

The complaint filed alleges that, throughout the Class Period, Defendants failed to disclose to investors that: (1) Defendants had downplayed the true scope and severity of risks that Xiao-I faced due to certain of its Chinese shareholders’ non-compliance with Circular 37 Registration, including the Company’s inability to use Offering proceeds for intended business purposes; (2) Xiao-I failed to comply with GAAP in preparing its financial statements; (3) Defendants overstated Xiao-I’s efforts to remediate material weaknesses in the Company’s financial controls; (4) Xiao-I was forced to incur significant R&D expenses to effectively compete in the AI industry; (5) Xiao-I downplayed the significant negative impact that such expenses would have on the Company’s business and financial results; (6) accordingly, Xiao-I overstated its AI capabilities, R&D resources, and overall ability to compete in the AI market; (7) as a result of all the foregoing, there was a substantial likelihood that Xiao-I would fail to comply with the NASDAQ’s Minimum Bid Price Requirement; and (8) as a result, Defendants’ positive statements about the Company’s business, operations, and prospects were materially misleading and/or lacked a reasonable basis at all relevant times.

To be a member of the class action you need not take any action at this time; you may retain counsel of your choice or take no action and remain an absent member of the class action. If you wish to learn more about this class action, or if you have any questions concerning this announcement or your rights or interests with respect to the pending class action lawsuit, please contact Howard G. Smith, Esquire, of Law Offices of Howard G. Smith, 3070 Bristol Pike, Suite 112, Bensalem, Pennsylvania 19020, by telephone at (215) 638-4847 or by email to howardsmith@howardsmithlaw.com, or visit our website at www.howardsmithlaw.com.

This press release may be considered Attorney Advertising in some jurisdictions under the applicable law and ethical rules.

Contacts

Law Offices of Howard G. Smith
Howard G. Smith, Esquire
215-638-4847
howardsmith@howardsmithlaw.com
www.howardsmithlaw.com

View original content:https://www.prnewswire.com/news-releases/aixi-investors-have-opportunity-to-lead-xiao-i-corporation-securities-fraud-lawsuit-302317731.html

SOURCE Law Offices of Howard G. Smith