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Manufacturing Execution System Market worth $32.83 billion by 2032 – Exclusive Report by MarketsandMarkets™

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DELRAY BEACH, Fla., Oct. 28, 2026 /PRNewswire/ — According to MarketsandMarkets™, the global manufacturing execution systems market is projected to grow from USD 17.28 billion in 2026 to USD 32.83 billion by 2032, registering a CAGR of 11.3%.

Browse 150 market data Tables and 70 Figures spread through 300 Pages and in-depth TOC on ‘Manufacturing Execution System Market – Global Forecast to 2032’

Manufacturing Execution System Market Size & Forecast:

Market Size Available for Years: 2021–20322026 Market Size: USD 17.28 billion2032 Projected Market Size: USD 32.83 billionCAGR (2026–2032): 11.3%

Manufacturing Execution System Market Trends & Insights:

The manufacturing execution systems market is witnessing strong growth driven by increasing adoption of industrial automation, Industry 4.0, smart manufacturing, and connected production environments. Growing demand for real-time production monitoring, product traceability, automated quality management, and operational efficiency is accelerating MES deployment across automotive, pharmaceuticals, electronics, aerospace, and food & beverages industries. Additionally, advancements in cloud-based MES platforms, artificial intelligence (AI), Industrial Internet of Things (IIoT), digital twins, and predictive analytics are further strengthening market expansion globally.By offering, the services segment is projected to register the CAGR of 12.2% from 2026 to 2032, driven by increasing demand for system implementation, integration, customization, software upgrades, and ongoing technical support.By industry, the pharmaceuticals & life sciences segment is expected to register 15.3% CAGR during 2026–2032, driven by stringent regulatory requirements and rising demand for electronic batch records, product traceability, and automated quality control.Based on deployment mode, the cloud segment is expected to hold the largest market share by 2032, driven by its scalability, lower upfront infrastructure costs, remote accessibility, and faster software updates. Increasing adoption of cloud-based manufacturing solutions to enable real-time production monitoring, multi-site coordination, and integration with enterprise systems is expected to support segment growth.By region, North America is expected to account for approximately 31% share of the manufacturing execution systems market by 2032, supported by early adoption of Industry 4.0 technologies, strong investments in smart manufacturing infrastructure, increasing demand for real-time production monitoring, and the presence of leading industrial automation and manufacturing software providers across the US and Canada.

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Market growth is driven by the increasing adoption of industrial automation, smart manufacturing technologies, and digital transformation initiatives across industries. MES solutions enable real-time production monitoring, quality management, and seamless integration with enterprise resource planning (ERP) systems, helping manufacturers improve operational efficiency and maintain regulatory compliance. Demand is increasing across automotive, aerospace, pharmaceuticals, and food & beverages industries, where production traceability, supply chain transparency, and process optimization are critical. Furthermore, the integration of MES with the Industrial Internet of Things (IIoT), artificial intelligence (AI), and cloud computing enables data-driven decision-making, process automation, and predictive maintenance. The growing preference for cloud-based MES platforms is supported by their scalability, remote accessibility, and lower infrastructure requirements. At the same time, rising cybersecurity concerns and stringent regulatory requirements are increasing demand for secure and compliant MES solutions. As manufacturers prioritize reduced downtime, improved production performance, consistent product quality, and greater operational visibility, MES adoption is expected to expand across diverse manufacturing environments.

Hybrid Segment Expected to Register Highest CAGR During Forecast Period

The hybrid deployment mode is expected to register the highest CAGR during the forecast period, driven by manufacturers’ growing demand for flexible, scalable, and secure production management solutions. Hybrid MES combines on-premises infrastructure with cloud-based capabilities, allowing manufacturers to retain sensitive production data and critical operational functions locally while leveraging cloud platforms for advanced analytics, centralized monitoring, and enterprise-wide visibility. This deployment model is particularly beneficial for regulated industries, including pharmaceuticals, aerospace, automotive, and food & beverages industries, where data security, regulatory compliance, and uninterrupted production are essential. Furthermore, integration with artificial intelligence (AI), the Industrial Internet of Things (IIoT), machine learning, and predictive analytics enables real-time production monitoring, equipment performance analysis, quality improvement, and proactive maintenance.

Another key factor supporting hybrid MES adoption is the need to modernize legacy manufacturing infrastructure without disrupting existing operations. Many manufacturers prefer to retain established on-premises systems while gradually introducing cloud-based capabilities to address cybersecurity concerns, connectivity limitations, and compliance requirements. Hybrid MES also facilitates integration with enterprise resource planning (ERP), supervisory control and data acquisition (SCADA), and industrial automation systems, improving data exchange between shop-floor operations and enterprise applications. In addition, cloud-enabled updates, remote production monitoring, and cross-site performance analysis help manufacturers standardize processes across multiple facilities. As industrial companies accelerate digital transformation while balancing operational reliability, data control, and implementation costs, hybrid MES is expected to gain traction as a practical deployment model for modern manufacturing environments.

Automotive Industry to Lead Manufacturing Execution Systems Market by Accounting for Largest Market Share

The automotive industry is expected to remain a major growth contributor to the manufacturing execution systems market, driven by increasing investments in factory automation, smart manufacturing, and digital production management. Automotive manufacturers rely on MES solutions to monitor production activities in real time, maintain consistent product quality, improve traceability, and coordinate complex manufacturing processes across assembly lines and production facilities. The growing complexity of vehicle manufacturing, coupled with the need to minimize production downtime, reduce defects, and optimize resource utilization, is increasing demand for MES platforms that provide greater shop-floor visibility and integration with enterprise resource planning (ERP) and industrial automation systems.

Furthermore, the transition toward electric vehicles (EVs), connected vehicles, and autonomous driving technologies is creating new requirements for flexible and highly traceable manufacturing processes. MES solutions integrated with artificial intelligence (AI), the Industrial Internet of Things (IIoT), and predictive analytics enable automotive manufacturers to identify production bottlenecks, monitor equipment performance, improve maintenance planning, and respond quickly to changing production requirements. These systems also support component-level traceability and quality documentation, particularly in battery manufacturing and other precision-intensive processes. As automotive companies expand production capabilities, introduce new vehicle platforms, and strengthen supply chain resilience, MES adoption is expected to increase to support higher productivity, manufacturing flexibility, and compliance with stringent quality standards.

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Asia Pacific to Record highest CAGR in Manufacturing Execution Systems Industry During Forecast Period

Asia Pacific is expected to register the highest CAGR during the forecast period, driven by rapid industrialization, expanding manufacturing capacity, and increasing investments in industrial automation and smart factory technologies. Countries such as China, India, Japan, and South Korea are strengthening their manufacturing capabilities through digital transformation initiatives and government-led programs promoting advanced production technologies. Manufacturers across the region are increasingly adopting MES solutions to improve real-time production monitoring, enhance quality control, reduce operational downtime, and optimize resource utilization. Furthermore, the growing adoption of Industry 4.0 technologies, Industrial Internet of Things (IIoT)-enabled equipment, and AI-powered analytics is encouraging manufacturers to integrate shop-floor operations with enterprise-level systems, improving production visibility and data-driven decision-making.

In addition, the strong presence of semiconductor, electronics, automotive, pharmaceuticals, and industrial machinery manufacturers is creating significant opportunities for MES providers across Asia Pacific. Semiconductor and electronics manufacturers require precise process control, product traceability, and stringent quality management, while automotive manufacturers are adopting MES to support complex assembly operations, electric vehicle production, and flexible manufacturing processes. The modernization of legacy production facilities and the expansion of new manufacturing plants are further supporting demand for scalable, cloud-based, and hybrid MES platforms. Moreover, the need to comply with industry-specific quality standards, improve supply chain transparency, and maintain consistent production performance is encouraging manufacturers to invest in advanced execution systems. These factors, combined with the region’s extensive industrial base and continued digitalization of manufacturing operations, are expected to position Asia Pacific as a key growth market for MES solutions during the forecast period.

Major companies operating in the manufacturing execution systems companies include Siemens (Germany), Dassault Systèmes (France), SAP SE (Germany), Rockwell Automation (US), and Honeywell International Inc. (US).

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Context Labs AI Distillery™ Lets Enterprises Run Sovereign AI on Data They Own

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12 minutes ago

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November 1, 2026

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Company launches the Context Engine for trusted sovereign AI, which packages an enterprise’s own data with verified lineage for use with the frontier or open-weight model the enterprise chooses.

ABU DHABI, United Arab Emirates, Nov. 1, 2026 /PRNewswire/ — Context Labs B.V. (“Context Labs”), the AI Data Infrastructure company, today launched the Context Labs AI Distillery™, the Context Engine for trusted sovereign AI. The AI Distillery converts an enterprise’s operational and business data into a governed Context Package that the enterprise owns, creating their own protected competitive moat. Every answer an AI model draws from the package is traced to its source records, and the package works with the frontier or open weight model the customer chooses, inside the customer’s own environment.

Analysts have quantified the obstacle to scaling enterprise AI. Gartner predicts that through 2026 organizations will abandon 60% of AI projects unsupported by AI-ready data, and that over 40% of agentic AI projects will be canceled by the end of 2027. McKinsey reports that eight in ten companies name data limitations as the barrier to scaling AI agents. Gartner has also described what enterprises now need: software that lets teams construct, govern and deliver semantically organized knowledge to AI agents, built on ontologies and knowledge graphs.

 The Context Labs AI Distillery™ is designed around six outcomes:

Own your IP. An enterprise’s knowledge, know-how and operating context stay inside a Context Package that only it controls and are not used to train third-party AI models.

Own your AI. The intelligence employees create in everyday use accrues to the enterprise, not to a model provider, and grows with every interaction.

Trusted, provable answers. Every output carries its data lineage and decision provenance, so answers can be verified, audited, and defended.

Build, protect and scale a proprietary competitive asset. The Context Package captures how the enterprise describes and runs its operations, starting with one facility and extending to others without rebuilding.

Sovereign by design. The AI Distillery runs inside the customer’s own data center or chosen cloud, so data stays where the customer decides.

Freedom of model choice, at lower cost. Customers can use any frontier or open-weight model and switch models without rebuilding the Context Package. Precise, verified context reduces the tokens each query uses.

The AI Distillery works in three steps: distill, package, and prove. It maps an enterprise’s structured and unstructured data to industry-specific ontologies, stores the result in a Context Package with cryptographic provenance, and checks answers against the company’s own records before any model goes into production. Work that has typically required teams of specialist engineers becomes a guided, governed workflow.

Context Agents and the Semantic Context Tunnel. Context Agents answer operational, commercial and compliance questions from the enterprise’s Context Package, with every figure traced to its source. The Semantic Context Tunnel brings the same context into the AI assistant employees already use. Both work within the access controls the enterprise sets.

“Models come and go. An enterprise’s context should not,” said Dan Harple, Founder, Chairman and CEO of Context Labs. “Frontier models will keep improving, but they do not supply governance, provenance or trust, and they should not absorb the knowledge that makes a company competitive. The AI Distillery gives enterprises a moat they own: their own context, proven and protected, working with whichever model they choose. That is how our customers own their IP and own their AI.”

At ADIPEC 2026, Context Labs is demonstrating the AI Distillery on energy-sector use cases, in which a Context Agent answers operational questions with every figure traced to the underlying plant records. Context Labs is located Arab Development Group stand, Stand #5240, Hall 5 and in the Dell AI Factory with NVIDIA, AI Zone, Hall 13.

Availability. The Context Labs AI Distillery™ is available now through the Microsoft Marketplace. Each enterprise license includes an industry starter kit to accelerate time to value. Companies can request a briefing or technical working session at contextlabs.com/distillery.

About Context Labs B.V.

Context Labs is an AI Data Infrastructure company delivering the Context Engine for Trusted and Secure Sovereign AI. Its platform turns complex, fragmented operational, engineering and enterprise data into continuously verified, auditable information that AI systems, people and markets can trust. Built on an extensible library of industry-specific ontologies that map to established standards published by ISO and other standards bodies, the platform is deployable across sectors, with use-case applications delivering decision-ready intelligence on a common foundation. The Context Labs AI Distillery™ lets enterprises run sovereign AI inside their own data centers, so they own their IP and own their AI. Formed out of MIT research and led by a team that helped drive the at-scale growth of the Internet, Context Labs has offices in Amsterdam, Cambridge (Mass.), Houston and Abu Dhabi. Learn more at www.contextlabs.com.

Media contact
press@contextlabs.com | 1-617-902-0932 | contextlabs.com/resources

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From IFA Berlin to CES 2027: OlloBot Continues Its Journey in Emotional Companionship

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4 hours ago

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November 1, 2026

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HONG KONG, Oct. 31, 2026 /PRNewswire/ — AI companion robot brand OlloBot made its European debut at IFA Berlin 2026, where its AI companion robot OlloNi SS1 was named an Honoree in the Best in Home & Entertainment category of the IFA Innovation Awards. The recognition, alongside feedback from visitors at the show, offered further encouragement for OlloBot’s belief that the future of home robotics lies not only in what robots can do, but also in the connections they can build with people.

In the Top 10 Trends in China’s Robotics and Embodied Intelligence Market for 2026, IDC identifies the evolution of educational and companion robots into all-age home intelligent terminals as a key trend. The report highlights a growing emphasis on long-term companionship, contextual understanding and ongoing content services, with value extending beyond specific functions to lasting relationships and services.

OlloBot is building its identity around this shift. Rather than developing humanoid robots or devices primarily centered on task execution, the brand is exploring a different path through what it calls “Cyber Pet,” an emerging category of home companions designed around emotional relationships. Its approach starts with a simple question: how can a robot become a familiar and meaningful presence in someone’s life?

For OlloBot, the answer lies in restraint. A companion robot should not replace human relationships or compete for a user’s constant attention. It should learn when to engage and when to step back. The goal is not about delivering a moment of novelty or amusement. It is about creating a unique relationship that can expand with each interaction and gradually become personally meaningful.

“We believe home robots need to enter the household through emotional connection,” said Lyn Fang, founder of OlloBot. “Technology can create the conditions for interaction, but meaningful companionship comes from how those interactions make people feel over time.”

At IFA, the enthusiasm from visitors offered a tangible reflection of this approach. Under the theme “Touch. Feel. Bond.,” OlloBot created an open, home-inspired setting where visitors could interact with OlloNi SS1 directly. Powered by OlloBot’s proprietary EmpathCore emotional engine and Affinilog interaction system, OlloNi SS1 engages dynamically through touch, sound and facial expressions. OlloNi SS1 also appeared in IFA’s “Robots on the Runway” showcase, where its emotional engine enabled it to react to its surroundings in real time. Visitors were not simply examining a device or comparing functions. They were exploring how it responded to them. The experience reinforced the brand’s conviction that, in the home, emotional connection can matter as much as technical capability.

Next stop: Las Vegas

The recognition and feedback at IFA mark an encouraging step as OlloBot continues to advance its product development and commercialization. Looking ahead to CES 2027, OlloBot is set to take the next step in its journey by introducing two all-new robot family members: a desktop lamp-form robot and OlloBot Gen 2. Visitors will also get a first look at a rich lineup of IP merchandise and ecosystem peripherals built around the flagship OlloVerse universe. Please stay tuned—OlloBot looks forward to welcoming everyone in Las Vegas and sharing how its expanding ecosystem continues to redefine emotional companionship in the home.

About OlloBot

OlloBot is an AI companion robot brand developed by Ollobot Robotics Limited, a Hong Kong-based company and part of BizConf Technology Co., Ltd. (SZSE: 300578).

The company focuses on embodied intelligence and family-oriented AI companion robots designed to support more natural interaction, emotional presence and connection in modern homes. Through its Cyber Pet concept, OlloBot aims to explore how AI and robotics can become a more meaningful and approachable part of everyday family life.

For more information, please visit ollobot.com.

YouTube：https://www.youtube.com/@ollo_botFacebook：https://www.facebook.com/ollobotofficialInstagram：https://www.instagram.com/ollo_botThreads：https://www.threads.com/@ollo_botTikTok：https://www.tiktok.com/@ollo_botX：https://x.com/OLLOBOT_Real

 

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A new way to explore Japan with AI: Naviu AR Travel Companion for Japan Launches November 1 2026

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November 1, 2026

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Patent pending geospatial technology brings 29 language guidance and city scale AR navigation to travelers

TOKYO, Oct. 31, 2026 /PRNewswire/ — Naviu, a business under TANGLE Inc., offering an AI-powered augmented-reality travel companion for Japan, launches on iOS and Android on November 1. Built on patent-pending geospatial technology, Naviu places AR content and navigation accurately in the real world across entire cities, without requiring a visual positioning system.

Travelers can ask Naviu about anything around them and receive answers in any of 29 languages, grounded in their exact location. A semi-transparent AR path provides turn-by-turn guidance, an AI companion walks with the traveler, and the app reveals side-street cafes, local landmarks, and other places that conventional maps and guidebooks may overlook.

About Naviu

Naviu combines an ask-anything AI guide, city-scale AR navigation, photo recognition, bespoke trip planning, and an optional cultural storytelling companion. Its spatial content network also allows brands, cities, and creators to place interactive 3D and AR content in the real world. AR experiences are already live at landmarks including Senso-ji, Tokyo Skytree, Tokyo Tower, Meiji Jingu, and Tokyo Station.

Naviu is available on the App Store and Google Play.

Official site: naviu.app

Key Features

Ask-anything AI guide: Conversational answers about any place in 29 languages, grounded in precise location dataCultural storytelling and guidance: An optional companion mode that guides travelers street by street and narrates local history and storiesAR navigation: A semi-transparent augmented-reality path overlaid on real streets across entire citiesPhoto recognition: Travelers can point the camera at a temple, sign, or storefront and ask what it isBespoke trip planning: Itineraries built around dietary needs, interests, accessibility, and available timeSpatial content network: Brands, cities, and creators can place interactive 3D and AR content in the real world

Statement from the Head of Naviu

“The hard part of traveling in Japan isn’t getting lost. It’s standing in front of something remarkable with no idea what it is. Naviu answers that question in your own language, right where you’re standing, so the city opens up instead of staying a backdrop.”
Jack Mead
CEO of Ashita Co. and Head of Naviu

About TANGLE Inc

TANGLE Inc. is the Tokyo-based company behind the tour operators TOMOGO! and Untold Japan. Its mission, Make the City Yours, reflects a decade of helping travelers discover Japan beyond the guidebook and now extends that experience into software through Naviu.

Company

TANGLE Inc.

Headquarters

Tokyo, Japan

Representative Director

Kengo Goto

Business

TOMOGO!, Untold Japan, and development and operation of Naviu

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SOURCE TANGLE Inc.

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