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Machine Vision (MV) Camera Market size is set to grow by USD 1.73 billion from 2024-2028, Increased demand in non-industrial sectors to boost the market growth, Technavio

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NEW YORK, June 28, 2024 /PRNewswire/ — The global machine vision (MV) camera market size is estimated to grow by USD 1.73 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of over 9.31% during the forecast period. Increased demand in non-industrial sectors is driving market growth, with a trend towards augmented demand for smart cameras. However, high cost of implementation poses a challenge. Key market players include Adimec Advanced Image Systems bv, Alpha MOS, AMETEK Inc., Banner Engineering Corp., Basler AG, Baumer Holding AG, Cognex Corp., Datalogic SpA, Decision Technology LLC, Hangzhou Hikvision Digital Technology Co. Ltd., Hitachi Ltd., Intel Corp., JAI AS, Keyence Corp., National Instruments Corp., OMRON Corp., SICK AG, Sony Group Corp., Teledyne Technologies Inc., and TKH Group NV.

Get a detailed analysis on regions, market segments, customer landscape, and companies – Click for the snapshot of this report

Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

Platform (PC based camera, Smart camera, Wireless camera, and Wearable camera), Type (Line scan, Area scan, and 3D scan cameras), and Geography (APAC, North America, Europe, Middle East and Africa, and South America)

Region Covered

APAC, North America, Europe, Middle East and Africa, and South America

Key companies profiled

Adimec Advanced Image Systems bv, Alpha MOS, AMETEK Inc., Banner Engineering Corp., Basler AG, Baumer Holding AG, Cognex Corp., Datalogic SpA, Decision Technology LLC, Hangzhou Hikvision Digital Technology Co. Ltd., Hitachi Ltd., Intel Corp., JAI AS, Keyence Corp., National Instruments Corp., OMRON Corp., SICK AG, Sony Group Corp., Teledyne Technologies Inc., and TKH Group NV

Key Market Trends Fueling Growth

Machine Vision (Mv) Camera Market is experiencing significant growth due to the increasing adoption of smart cameras in industrial applications. These compact devices, with embedded image sensors, offer ease of use and cost-effectiveness for automated functions. Omron’s new F440 Smart Camera further enhances machine vision applications by enabling self-contained vision systems within machines. This innovation strengthens companies’ capabilities in inspection and quality assurance, contributing to the market’s expansion. 

The Machine Vision (MV) camera market is experiencing significant growth, driven by the increasing demand for automation and quality control in various industries. Three-dimensional (3D) modeling and manufacturing are trending applications, utilizing MV cameras for accurate measurement and inspection. Machine learning and artificial intelligence are also key technologies, enabling advanced image analysis and recognition capabilities. Additionally, the integration of MV cameras with production lines and robotic systems is increasing efficiency and productivity. The market for MV cameras is expected to continue expanding, with applications in sectors such as automotive, electronics, and healthcare. 

Research report provides comprehensive data on impact of trend. For more details- Download a Sample Report

Market Challenges

The Machine Vision (Mv) Camera Market involves the use of expensive camera systems and software, posing a challenge for small and medium-sized enterprises (SMEs) due to high implementation costs. Customization and operational requirements increase the overall price. Smart cameras, equipped with advanced technologies for clarity and precision, have high base prices. Vendors face pressure to lower prices due to competition and the lack of concentration in the market. The scarcity of high-quality sensors further complicates matters, hindering market growth during the forecast period.The Machine Vision (MV) Camera market faces several challenges in the industry. Three-dimensional (3D) imaging and scanning are becoming increasingly important, requiring advanced capabilities from MV cameras. Sensors and resolution are key factors in delivering accurate results. The integration of Artificial Intelligence (AI) and deep learning algorithms is essential for advanced analysis and processing. The need for real-time processing and high frame rates adds complexity. Additionally, cost-effectiveness and miniaturization are crucial for mass adoption. The market for MV cameras is competitive, with players focusing on innovation and differentiation to meet these challenges. The market for MV cameras is expected to grow significantly due to these demands.

For more insights on driver and challenges – Download a Sample Report

Segment Overview 

This machine vision (mv) camera market report extensively covers market segmentation by

Platform 1.1 PC based camera1.2 Smart camera1.3 Wireless camera1.4 Wearable cameraType 2.1 Line scan2.2 Area scan2.3 3D scan camerasGeography 3.1 APAC3.2 North America3.3 Europe3.4 Middle East and Africa3.5 South America

1.1 PC based camera- The Machine Vision (Mv) Camera Market is experiencing significant growth due to increasing automation in industries. These cameras are essential for quality control and inspection in manufacturing processes. Companies are investing in advanced Mv cameras to enhance productivity and improve product consistency. The market is driven by the demand for automation and the need for efficient production processes. Mv cameras are becoming an integral part of modern manufacturing, enabling real-time monitoring and analysis of production lines.

For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2018 – 2022) – Download a Sample Report

Research Analysis

The Machine Vision (Mv) Camera Market encompasses a range of advanced imaging technologies, including Machine Vision cameras, smart cameras, wireless cameras, wearable cameras, parking cameras, CMS cameras, SVS cameras, and barcode scanners. These cameras employ various lens types, such as wideangle and normal lenses, to facilitate applications in measurement, position guidance, pattern recognition, 3D imaging, and line scan. Machine Vision systems are integral to industries like automotive, healthcare, retail, and manufacturing, enabling tasks like quality control, inspection, and surveillance. The market is driven by advancements in technology, increasing demand for automation, and the growing need for real-time data processing.

Market Research Overview

The Machine Vision (MV) Camera Market encompasses the production, sales, and installation of cameras designed for machine vision applications. These cameras utilize advanced technologies such as artificial intelligence and machine learning to analyze data in real-time, enabling automation and improved efficiency in various industries. The market is driven by the increasing demand for smart manufacturing and Industry 4.0 initiatives. Key applications include quality control, inspection, and measurement in sectors like automotive, electronics, food and beverage, and pharmaceuticals. The market is expected to grow significantly due to the rising adoption of automation and the increasing need for real-time data analysis. Additionally, the development of new technologies such as 3D modeling and hyperspectral imaging is expanding the market’s potential applications.

Table of Contents:

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

PlatformPC Based CameraSmart CameraWireless CameraWearable CameraTypeLine ScanArea Scan3D Scan CamerasGeographyAPACNorth 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/

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SOURCE Technavio

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Bloomberg Introduces Spread-to-Benchmark Quoting for EUR and GBP Portfolio Trading Baskets

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LONDON, June 2, 2026 /PRNewswire/ — Bloomberg today announced the launch of Spread-to-Benchmark quoting and trading for Euro (EUR) and Sterling (GBP) denominated portfolio trades through its Portfolio Trading Basket Builder (PTBB). The new functionality expands the range of quoting protocols available for European credit portfolio trading and reflects growing client demand for spread-based execution workflows, alongside increased dealer support for the convention across EUR and GBP markets.

Spread-to-Benchmark quoting is a well-established protocol for USD credit portfolio trades and is used by market participants to evaluate and execute portfolio trades. By extending this workflow to EUR and GBP portfolio trades, Bloomberg enables clients and dealers to transact using a familiar spread-based methodology across additional credit markets. 

The introduction of Spread-to-Benchmark quoting for EUR and GBP baskets reflects increased client interest in evaluating portfolio trades through a spread-based lens and the growing adoption of spread-based execution workflows in European credit markets. The workflow provides market participants with an additional framework for assessing the relationship between credit spread risk and underlying government bond yields when pricing and executing portfolio trades. 

Additional Workflow Flexibility 
The workflow complements Bloomberg’s existing portfolio trading capabilities, which support the full range of market-standard quoting conventions, including Price, Yield, Spread-to-Benchmark and Spread based workflows that reference Bloomberg’s evaluated pricing service (BVAL). This gives clients flexibility to compare and execute portfolio trades using the quoting methodology that best aligns with their investment objectives, execution preferences and internal risk management processes. 

“European credit clients continue to look for execution workflows that reflect how they evaluate risk and monitor portfolio trading outcomes,” said Harry Street, Global Head of Credit and Equities Trading Product at Bloomberg. “By expanding dealer support for Spread-to-Benchmark quoting for EUR and GBP baskets, Bloomberg is broadening the range of workflow options available to clients trading European credit portfolios.” 

“Portfolio trading workflows in fixed income continue to become more sophisticated as institutional investors look for ways to evaluate execution quality in changing market conditions,” said Kevin McPartland, Head of Market Structure & Technology Research at Crisil Coalition Greenwich. “Spread-based quoting helps market participants more clearly distinguish between the impacts of credit spread and underlying rates movements when determining how best to execute a portfolio trade.” 

Bloomberg’s Electronic Markets solutions are used by leading financial institutions to trade efficiently in over 175 markets around the world. More than 9,000 client firms use Bloomberg Electronic Markets to access industry-leading depth and breadth of liquidity across asset classes from over 800 dealers globally. Bloomberg Electronic Markets provides market participants with comprehensive solutions across the trading lifecycle, including robust price transparency, analytics, automation and execution, powered by Bloomberg’s high-quality, multi-asset class data and tools.

About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The company helps connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. For more information, visit Bloomberg.com/company or request a demo.

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SOURCE Bloomberg L.P.

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Dr. Sunho Kang, a senior battery-technology executive with leadership experience at major global battery and EV manufacturers, joins TeraWatt Technology as Head of Product and Technology

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SAN FRANCISCO, June 2, 2026 /PRNewswire/ — TeraWatt Technology Inc. (Headquartered in California, USA) is pleased to announce that Dr. Sunho Kang has joined the company as Head of Product and Technology.

Dr. Kang is a globally recognized battery-technology executive with more than 25 years of leadership experience spanning the United States, Asia, and Europe, and a distinguished track record of advancing innovations from laboratory research through gigafactory-scale production. He has held senior executive positions at world-leading organizations including Samsung SDI, Apple, and Volkswagen Group of America, and brings deep expertise in lithium-ion battery materials, cell engineering, and product industrialization across a broad range of applications, including electric vehicles and energy storage systems.

At TeraWatt, Dr. Kang will lead global product development and the commercialization of TeraWatt’s battery technology platform, aiming to accelerate the delivery of TeraWatt’s competitive products as well as the technology and commercialization roadmap including manufacturing scale-up.

Dr. Kang commented:

“I am thrilled to join TeraWatt Technology as Head of Product and Technology. TeraWatt’s innovative battery platform presents a tremendous opportunity to push the boundaries of lithium-ion technology, and I look forward to working with the team to accelerate product development and commercialization to deliver meaningful impact.”

TeraWatt Technology founder CEO Ken Ogata, Ph.D. commented:

“We are thrilled to welcome Dr. Kang as our Head of Product and Technology. His deep expertise in battery materials, cell engineering, and productization will be instrumental in accelerating TeraWatt’s product roadmap and technology leadership. Together with Dr. Kang, we will continue to drive our mission forward.”

About TeraWatt Technology Inc.
TeraWatt Technology Inc. is a California-based company that produces lightweight, high-power, and safe next-generation lithium-ion batteries.

Company Overview
Name: TeraWatt Technology Inc.
Representative: Co-founder and CEO Ken Ogata
Headquarters: 28 Geary St, Suite 650, San Francisco, CA 94108, United States
Founded: January 2020
Established: December 2019
URL: https://www.terawatt-technology.com/

 

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SOURCE TeraWatt Technology Inc.

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Tencent Cloud and Soniox Announce Strategic Partnership: Combining Advanced Speech-to-Text (STT) Technology with Global Real-Time Infrastructure

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HONG KONG, June 2, 2026 /PRNewswire/ — Tencent Cloud, the cloud business of global technology company Tencent, today announced a strategic partnership with Soniox, a San Francisco-based speech AI company that specializes in developing high-accuracy, low-latency speech AI solutions. The collaboration integrates Soniox’s speech-to-text (STT) technology with Tencent Cloud’s Real-Time Communication (TRTC) enterprise-grade global infrastructure, enabling enterprises to build and deploy multilingual voice AI applications across 200+ countries and regions.

Elevating Enterprise Voice AI at a Global Scale

In enterprise voice AI deployments, latency directly affects user experience and application reliability. The integration of Soniox’s high-accuracy, low-latency STT with TRTC’s global transmission infrastructure reduces latency across the entire pipeline, creating a comprehensive end-to-end solution for enterprises deploying conversational AI applications worldwide.    

Soniox is the voice platform for every language. Unlike legacy speech AI, which was built primarily for English-speakers, Soniox delivers native-speaker accuracy across 60+ languages. Its technology can handle mid-sentence language switching — a user can switch between English and Chinese in a single utterance, and Soniox will capture every word with complete accuracy. All of this works through a single API that works for both speech-to-text and text-to-speech.

By integrating TRTC, the partnership leverages an enterprise-grade real-time communication backbone featuring more than 3,200 global nodes, sub-300 ms worldwide latency, and advanced capabilities such as AI noise suppression and weak-network resilience. These capabilities enable conversational AI applications to operate reliably across diverse network environments, including regions such as Southeast Asia and Africa.

With the roll out of this partnership, developers can integrate the Soniox STT API directly within the Tencent Cloud console. Whether targeting English-speaking markets or supporting languages such as Arabic, Hindi, and Malay, enterprises can build global voice applications — including intelligent customer service, voice assistants, real-time translation, and meeting transcription — to address the demands of expansion into emerging markets and multilingual scenarios.

Wison Xie, Head of Product at Tencent RTC, stated: “Tencent RTC has always been committed to providing reliable real-time communication infrastructure for global enterprises. Our partnership with Soniox brings together our strengths in enterprise-grade audio transmission and Soniox’s advanced speech recognition technology. Together, we are making it easier for businesses to deploy accurate, low-latency voice AI applications across any language and any market.”

Klemen Simonic, CEO at Soniox Inc., stated “At Soniox, our mission is to help businesses understand every word, in any language, with native speaker accuracy and exceptional speed. Partnering with Tencent Cloud combines our speech AI with world-class real-time infrastructure, enabling enterprises to build voice AI experiences that scale globally with low latency and reliability.”

About Tencent Cloud:

Tencent Cloud, one of the world’s leading cloud companies, is committed to creating innovative solutions to resolve real-world issues and enabling digital transformation for smart industries. Through our extensive global infrastructure, Tencent Cloud provides businesses across the globe with stable and secure industry-leading cloud products and services, leveraging technological advancements such as cloud computing, Big Data analytics, AI, IoT, and network security. It is our constant mission to meet the needs of industries across the board, including the fields of gaming, media and entertainment, finance, healthcare, property, retail, travel, and transportation.

About Tencent RTC:

Tencent RTC provides real-time communication solutions, including audio/video calling, live streaming, and in-game voice. With enterprise-grade security, AI-powered enhancements, and a global network of over 3,200 nodes, Tencent RTC powers mission-critical communication for customers worldwide.

About Soniox:

Soniox is a next-generation voice AI company bringing about the end of English-first speech AI. Most people on the planet did not grow up speaking English and often mix languages mid-sentence; and yet legacy speech AI was built for just English. Soniox is different: native-speaker accuracy across 60+ languages, true mid-sentence language switching, and flawless alphanumeric recognition that legacy providers still can’t match. For developers building global apps, Soniox is the only option. Try it for yourself at soniox.com.

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SOURCE Tencent Cloud

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