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AI Driving Transformation in Automotive Automation Market, Set to Grow by USD 2.45 Billion (2024-2028), Boosted by Demand for Improved Manufacturing Flexibility- Technavio

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NEW YORK, Sept. 26, 2024 /PRNewswire/ — Report with the AI impact on market trends- The global automation market in automotive industry size is estimated to grow by USD 2.45 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of  4.36%  during the forecast period. Demand for enhanced visibility and flexibility in manufacturing is driving market growth, with a trend towards emergence of smart manufacturing. However, security challenges of industrial control systems  poses a challenge. Key market players include ABB Ltd., Applied Materials Inc., Aurotek Corp. Inc., Auto Control Systems, DENSO Corp., Emerson Electric Co., FANUC Bulgaria EOOD, Festo SE and Co. KG, General Electric Co., Kawasaki Heavy Industries Ltd., MIDEA Group Co. Ltd., Mitsubishi Electric Corp., OMRON Corp., Rockwell Automation Inc., Schneider Electric SE, Siemens AG, Yaskawa Electric Corp., and Yokogawa Electric Corp..

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View the snapshot of this report

Automation Market In Automotive Industry Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 4.36%

Market growth 2024-2028

USD 2454 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

4.11

Regional analysis

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

Performing market contribution

APAC at 41%

Key countries

China, Japan, US, Germany, and India

Key companies profiled

ABB Ltd., Applied Materials Inc., Aurotek Corp. Inc., Auto Control Systems, DENSO Corp., Emerson Electric Co., FANUC Bulgaria EOOD, Festo SE and Co. KG, General Electric Co., Kawasaki Heavy Industries Ltd., MIDEA Group Co. Ltd., Mitsubishi Electric Corp., OMRON Corp., Rockwell Automation Inc., Schneider Electric SE, Siemens AG, Yaskawa Electric Corp., and Yokogawa Electric Corp.

Market Driver

The automotive industry is experiencing significant growth in automation, electrification, data integration, human-machine interaction, and connectivity. To facilitate smart manufacturing, industrial machines and robots are being equipped with IoT-integrated microprocessors, microcontrollers, sensors, and switches. In the automotive production process, sensors are used extensively on the manufacturing, assembly line, and warehousing equipment. These sensors provide real-time data to DCS, MES, and PLC systems for remote monitoring and predictive maintenance. IIoT plays a crucial role in integrating these systems and transferring information. Innovations in sensors and automation solutions are increasing productivity in the automotive industry, driving market growth during the forecast period. 

The automotive industry is experiencing a growth in automation trends, with programmable automation and motion control at the forefront. Industrial automation is being driven by advanced automation/control software, panel mount solutions like industrial PCs and web panels, and control systems. Turbocharging is being enhanced with 5G wireless technology and digitalization. Augmented reality, digital twin technology, and industrial IoT are revolutionizing production, with advanced analytics, edge computing, and cloud computing enabling real-time data processing. Sensors, including precision photoelectric, laser, inductive, servo motors, drives (AC and DC), and semiconductors, are essential components. Trade wars and electronics shortages pose challenges, but AI and machine learning are driving innovation. Product launch and development are being streamlined with management software, cobots, and smart manufacturing. 3D printing and micro electromechanical systems are also transforming the industry. 

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Market Challenges

Legacy industrial control systems, predominantly used in Europe and the US automotive industries, pose significant security challenges due to their pre-Internet era design. These systems, which communicate point-to-point, lack the capability to authenticate commands and secure data, making them susceptible to threats. Replacing these systems is cost-prohibitive, and modernizing them requires integrating new IT and OT technologies, as well as addressing the emergence of IoT and cloud computing. A common vulnerability in OT infrastructure is the inability to protect legacy systems, such as SCADA, which have open architectures, increasing the risk of security breaches. Despite the potential productivity gains from automation solutions, the increasing security threats may hinder their adoption in the automotive industry during the forecast period.In the automotive industry, automation is a key trend shaping the future of manufacturing. Technologies like digital twin technology, advanced analytics, edge computing, and cloud computing are revolutionizing production processes. Sensors, including photoelectric, laser, inductive, servo motors, drives (AC and DC), and precision sensors, are essential components of this automation. Trade wars and the rise of micro electromechanical systems, 3D printing, smart manufacturing, semiconductors, electronics, artificial intelligence, and machine learning are driving innovation. Industrial robots, management software, cobots, and cloud-based solutions are crucial for product launch and development. Challenges include ensuring control and integration of these advanced technologies to optimize efficiency and quality.

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Segment Overview 

This automation market in automotive industry report extensively covers market segmentation by  

Technology 1.1 Industrial sensors1.2 PLC1.3 MES1.4 SCADA1.5 DCSEnd-user 2.1 Vehicle manufacturers2.2 Component manufacturersGeography 3.1 APAC3.2 Europe3.3 North America3.4 South America3.5 Middle East and Africa

1.1 Industrial sensors-  Industrial sensors play a crucial role in the automotive industry by measuring physical parameters, such as temperature, humidity, pressure, flow, speed, vibration, and position, converting them into electrical signals for control systems like PLC. They ensure product quality consistency in various applications, including painting operations, testing engines, robotic arms, and conveyor belts. In painting, sensors measure paint thickness. Spray painting systems use sensors for air and liquid ratio measurement. Industrial robots, now widely adopted for faster production and efficiency, are equipped with sensors to work efficiently with pre-defined instructions. Advancements in sensors, hardware, and software have made robots more intelligent and autonomous. Smart sensors are driving the growth of the industrial sensors market in the automotive industry, especially in the context of Industry 4.0 and smart wearables like helmets, eye devices, and hand-worn devices. Innovations in industrial wireless sensor networks (IWSN) are expected to further expand the market, with each node featuring a sensor, ADC, microcontroller, data receiver, and energy source, creating a dispersed network collecting and organizing data at a central location, driving IIoT in the automotive industry.

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Research Analysis

The automotive industry is embracing automation to enhance manufacturing processes, improve product quality, and increase efficiency. Programmable automation, industrial motion control, and advanced control systems are key technologies driving this transformation. Automation/Control Software, Industrial PCs, Web Panels, and Industrial Monitors are essential components of modern automation systems. Turbocharging and 5G wireless technology are revolutionizing the industry with real-time data transfer and remote monitoring capabilities. Augmented reality, digital twin, digitalization, industrial IoT, precision sensors, micro electromechanical systems, 3D printing, and smart manufacturing are shaping the future of automotive production. Semiconductor and electronics companies are supplying the necessary components for automation, including artificial intelligence and machine learning chips. These technologies enable advanced functions like predictive maintenance, quality control, and optimization of production lines. Overall, automation is a critical enabler for the digital transformation of the automotive industry.

Market Research Overview

The automotive industry is embracing automation to enhance manufacturing processes, improve product quality, and increase efficiency. Programmable automation, industrial motion control, and advanced automation/control software are key technologies driving this transformation. Industrial PCs, web panels, and industrial monitors are essential components of modern control systems. Turbocharging and 5G wireless technology are being integrated with automation systems to optimize performance and connectivity. Augmented reality, digital twin technology, and digitalization are revolutionizing design and production, enabling real-time monitoring and predictive maintenance. Industrial IoT, sensors, and edge computing are facilitating data collection and analysis, while cloud computing provides scalability and flexibility. Semiconductors and electronics play a crucial role in the development of automation systems, with artificial intelligence and machine learning enabling advanced analytics and smart manufacturing. Product launch and development are streamlined with management software, while cobots and industrial robots enhance production capabilities. 3D printing and smart manufacturing further boost innovation and efficiency. Despite trade wars, the automation market in the automotive industry continues to grow, with continuous product innovation and development.

Table of Contents:

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

TechnologyIndustrial SensorsPLCMESSCADADCSEnd-userVehicle ManufacturersComponent ManufacturersGeographyAPACEuropeNorth AmericaSouth AmericaMiddle East And Africa

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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Jtibot Showcases Autonomous Outdoor Sweeping Innovation at Interclean Amsterdam 2026, Accelerating European Market Expansion

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AMSTERDAM, April 24, 2026 /PRNewswire/ — Jtibot, a developer of autonomous outdoor cleaning solutions, concluded a successful showcase at Interclean Amsterdam 2026, highlighting its focus on large-scale, AI-driven sweeping for industrial, municipal, and campus environments.

At Hall 8, Booth 538, Jtibot presented its autonomous outdoor sweeper designed for environments exceeding 10,000 sqm. Positioned between traditional equipment and emerging robotics, the system addresses the growing demand for more efficient and less labor-dependent outdoor cleaning operations.

During the exhibition, Jtibot attracted strong interest from European distributors and facility management professionals seeking scalable solutions for large-area maintenance. The company was also featured in an official media interview at the event, reflecting increasing attention toward autonomous technologies in the cleaning industry.

Jtibot’s approach centers on human-machine collaboration. By reducing repetitive manual work while maintaining operational flexibility, its systems support more sustainable and efficient facility management practices. This aligns with broader ESG (Environmental, Social, and Governance) priorities, including improved resource efficiency and enhanced working conditions.

Building on its presence at Interclean, Jtibot is currently advancing discussions with multiple European partners for regional distribution and deployment. The company is also in the final stage of a fleet procurement agreement valued at approximately $1.4 million, signaling early commercial traction in large-scale applications scenarios.

“As outdoor environments continue to grow in scale and complexity, automation is becoming essential,” said Steven, VP at Jtibot. “Our goal is not to replace people, but to empower them—making operations more efficient and labor more sustainable.”

Following Interclean Amsterdam 2026, Jtibot is actively expanding its European partner network and preparing for broader market deployment across key regions, as it accelerates its global commercialization strategy.

About Jtibot
Jtibot specializes in autonomous outdoor sweepers designed for large-scale environments. By combining AI-driven navigation with industrial-grade hardware, the company enables efficient, scalable, and sustainable cleaning operations worldwide.

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2U Refinances and Raises Growth Capital

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ARLINGTON, Va., April 24, 2026 /PRNewswire/ — Many education technology companies spent 2024 and 2025 scaling back. New university partnerships slowed as institutions built internal capacity. Against that backdrop, 2U completed a growth recapitalization, with its existing owners putting growth capital into the business alongside a refinancing of its current credit facilities.

The question worth asking is: why now, and what did they see?

2U operates edX, a global online learning platform originally co-founded by Harvard and MIT that now reaches more than 100 million people through over 5,300 programs with 250-plus institutional and enterprise partners. Employees from more than 60% of Fortune 500 companies use edX for professional development. To date, over 76,000 people have graduated from 2U-powered degree programs from leading institutions, including UC Berkeley, Howard University, and Georgetown. The company has been privately held since completing a financial reorganization in 2024, and Kees Bol has served as CEO since January 2025.

Lincoln International, which advised 2U on the transaction exclusively, described the refinancing outcome: extended credit maturities, improved capital structure, and financial flexibility to continue executing on 2U’s long-range plan. Managing Director Alex Stevenson said the deal “reflects the confidence of 2U’s owners in the long-term value of the business.”

Confidence in what, exactly? The AI workforce training market. Skills in AI-affected roles are evolving 66% faster than average according to PwC research, and IDC has estimated that unfilled AI skills gaps could cost the global economy $5.5 trillion. Universities and enterprises are both trying to solve that problem, and both are looking for platforms with the breadth and accreditation backing to do it credibly.

2U’s partnerships are designed for exactly that. IBM’s six technical microcredentials on edX train the engineers and data scientists who build AI systems. Microsoft’s CxO Edge program, launched in late 2025, targets the C-suite executives who need to move from AI pilots to enterprise-wide adoption, part of a Microsoft presence on edX that has drawn over 40,000 learners in the past six months alone.. Oxford’s Faculty of Law program addresses governance: what board members and legal advisors need to understand about AI liability, compliance, and fiduciary responsibility. UC Berkeley’s Master of Information and Data Science (MIDS) online program prepares learners to shape the future of AI and data science with human-centered values and focuses on solving the world’s most pressing data challenges. Each program exists because a specific employer community identified a specific gap.

That’s the differentiation investors are backing. Generic online courses are abundant. Programs designed in partnership with IBM, Microsoft, UC Berkeley, and Oxford’s Faculty of Law and delivered on a platform with proven Fortune 500 adoption are not.

Credentials earned on 2U’s edX platform carry the academic standing of the issuing partner institutions. Its programs span executive education, professional certificates, microcredentials, and accredited online degree programs, all powered by 2U’s infrastructure but conferred by partner universities and institutions with their own accreditation.

HolonIQ data puts the broader trend in context: microcredentials grew from 7% of global online program offerings in 2022 to 19% by 2025. The shift toward stackable, job-aligned credentials, in addition to traditional degrees,  is real and accelerating. The global online education market is projected to exceed $200 billion as that trend matures. 2U’s decision to build depth in short-form, employer-designed AI training aligns directly with where learner demand is heading.

None of this is abstract for the organizations that use edX at scale. When a company needs to certify 500 engineers on AI development, or prepare its entire C-suite for a board presentation on AI governance, the platform’s reach and credential quality both matter. A certification backed by IBM and a degree from institutions such as Berkeley carries weight with hiring managers in a way a generic online course does not.

The refinancing extends 2U’s ability to keep building that catalog and the partnerships behind it. Stevenson framed it as giving the management team “the financial foundation to keep executing on its mission.” The mission, under Bol’s leadership, is straightforward: help universities and enterprises close the AI skills gap by meeting learners where they are, at the pace the market demands.

The investors who contributed growth capital made a bet that a platform that reaches 100 million people and has 250-plus partners, including IBM, Microsoft, UC Berkeley, and Oxford in its program portfolio, is better positioned to close that gap than any platform that would need to build from scratch.

Media Contact:
Kees Bol
social@2u.com 

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Autonomous Resource Corporation and Oak Ridge National Laboratory Partner to Accelerate AI-Enabled Defense Manufacturing at National Scale

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Strategic partnership combines ORNL’s supercomputing and advanced manufacturing expertise with ARC’s autonomous production platform to address critical defense industrial base shortfalls

OAK RIDGE, Tenn. and NEW YORK, April 24, 2026 /PRNewswire/ — Autonomous Resource Corporation (ARC), a Delaware corporation, and Oak Ridge National Laboratory (ORNL), the U.S. Department of Energy’s largest multi-program science and energy laboratory, today announced a Memorandum of Understanding (MOU) establishing a strategic public-private partnership to accelerate the on-demand manufacture of qualified, mission-critical components for U.S. national security applications.

The partnership combines ORNL’s HPC and manufacturing capability with ARC’s ARCNet distributed AI-manufacturing platform

The partnership — known as the Exascale Foundry — will combine ORNL’s computing and manufacturing capabilities with ARC’s ARCNet distributed manufacturing platform to create a closed-loop system for AI-enabled materials and manufacturing qualification and autonomous production at defense-relevant scale.

“The United States faces an urgent need to rebuild its manufacturing capacity for critical defense components,” said Bryan Wisk, CEO of ARC. “By combining ORNL’s world-leading computational, materials science, and manufacturing capabilities with our autonomous production infrastructure, we can compress manufacturing and qualification timelines from years to months and deliver manufactured parts at the volumes the warfighter needs.”

Partnership Highlights

Under the MOU, ARC will deploy advanced manufacturing equipment organized into seven production nodes connected to ORNL via ARC’s secure ARCNet infrastructure. ARC will expand capability through ORNL’s high-performance computing (HPC) resources.

ORNL will provide access to HPC expertise for simulation-driven materials characterization and qualification, along with technologies developed at the Manufacturing Demonstration Facility (MDF), the Department of Energy’s only large-scale, open-access advanced manufacturing facility. ORNL’s Peregrine AI software, which has analyzed over 1.9 million additive manufacturing layers, will be integrated into ARC’s production nodes for real-time adaptive control and quality assurance.

This partnership also supports DOE’s Genesis Mission, a national initiative to build the world’s most powerful scientific platform to accelerate discovery science, strengthen national security and drive energy innovation. ARC and ORNL’s collective capabilities will help reenvision advanced manufacturing and industrial productivity, accelerate defense production and qualification, and secure critical supply chain elements.

“ORNL’s advanced manufacturing and computing capabilities are uniquely positioned to help accelerate the transition of laboratory-proven technologies into production-scale defense manufacturing,” said Moe Khaleel, ORNL associate laboratory director for National Security Sciences. “Partnering with ARC ensures we are transitioning our research into real production outcomes.”

The initial implementation will focus on high-temperature nickel superalloy turbine components for autonomous air vehicle engines using metal binder jetting technology, directly addressing demonstrated production bottlenecks in the U.S. defense supply chain.

ORNL Chief Manufacturing Officer Craig Blue added, “This partnership exemplifies the type of relationship necessary to build and grow domestic supply chains for our national security.”

About Autonomous Resource Corporation

ARC is a New York–headquartered corporation building and operating an AI-enabled, autonomous manufacturing platform for national security and critical infrastructure applications. ARC’s Autonomous Resource Controller Network (ARCNet) connects distributed production cells into a secure, federated manufacturing grid capable of producing qualified components at scale. ARC’s leadership team brings deep experience across defense technology, capital markets, materials science, and additive manufacturing at production scale.

About Oak Ridge National Laboratory

Oak Ridge National Laboratory is the largest U.S. Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. DOE’s Manufacturing Demonstration Facility at ORNL partners with more than 300 companies, spurring over $5.5 billion in economic growth. ORNL is managed by UT-Battelle, LLC for the U.S. Department of Energy’s Office of Science.

Media Contacts:

ARC: Bryan Wisk, Chief Executive Officer | bryan@autonomousresource.com | 929-523-3953

ORNL: Eric Swanson, National Security Sciences Communications Lead | swansonej@ornl.gov | 865-206-5794

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SOURCE Autonomous Resource Corporation

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