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Data Center Cooling Solutions Market size is set to grow by USD 51.08 billion from 2024-2028, Increased demand for data centers to boost the market growth, Technavio

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NEW YORK, July 24, 2024 /PRNewswire/ — The global data center cooling solutions market size is estimated to grow by USD 51.08 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of almost 31.71% during the forecast period. Increased demand for data centers is driving market growth, with a trend towards greater use of HPC. However, environmental concerns poses a challenge. Key market players include Aermec S.p.A., Airedale Air Conditioning Ltd., AIRSYS Refrigeration Engineering Technology Co. Ltd., Alfa Laval AB, Asetek, Black Box Ltd., Chilldyne, Citec International, Daikin Industries Ltd., Data Aire Inc., Delta Electronics Inc., Engineered Fluids Inc., Green Revolution Cooling Inc., Midas Immersion Cooling, Mitsubishi Electric Corp., Motivair Corp., Nortek, Schneider Electric SE, STULZ GmbH, and Vertiv Holdings Co..

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Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

Application (Air conditioning, Economizers, Cooling towers, Chillers, and Others), Technique (Air-based cooling and Liquid-based cooling), 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

Aermec S.p.A., Airedale Air Conditioning Ltd., AIRSYS Refrigeration Engineering Technology Co. Ltd., Alfa Laval AB, Asetek, Black Box Ltd., Chilldyne, Citec International, Daikin Industries Ltd., Data Aire Inc., Delta Electronics Inc., Engineered Fluids Inc., Green Revolution Cooling Inc., Midas Immersion Cooling, Mitsubishi Electric Corp., Motivair Corp., Nortek, Schneider Electric SE, STULZ GmbH, and Vertiv Holdings Co.

Key Market Trends Fueling Growth

The High Performance Computing (HPC) market is experiencing significant growth due to the increasing demand for product innovation and economic competitiveness. HPC systems, which deliver efficient computing through a cluster of processors, are primarily used for scientific and engineering applications. These systems have higher computing performance than general-purpose computers, measured in floating-point operations per second (FLOPS), and are essential for solving complex problems in fields such as physical simulations, weather forecasting, quantum mechanics, and molecular modeling. The global HPC market is being driven by the growing use of big data and cloud computing solutions, which have led to an increase in the demand for data centers. Data centers support HPC by enabling parallel processing with better reliability, efficiency, and scalability through enhanced cooling systems. Cloud-based HPC systems are particularly attractive to Small and Medium Enterprises (SMEs) due to their low initial investment requirements. As HPC systems incorporate tens of thousands of processors, they generate significant heat. To maintain optimal performance, data centers require efficient cooling systems, such as in-rack and in-row cooling solutions. Modern data centers also offer cloud-based services and virtualization to support HPC infrastructure. Data center operators must ensure 99% service availability to meet the demands of HPC vendors. To achieve this, they require high-performance data center power components. The increasing use of HPC will continue to drive the demand for data centers, and thus, data center power components during the forecast period.

The Data Center Cooling Solutions market is experiencing significant growth due to increasing data protection needs and power interruptions. Traditional air conditioners are being replaced by precision air conditioners and liquid cooling equipment for better efficiency and scalability. Cloud-based services, IT and telecom, manufacturing, healthcare, energy and utilities, and colocation service providers are major consumers. Advanced cooling techniques like room-based, row-based, and rack-based cooling are trending, with airflow paths and cooling expenses being key considerations. Energy-efficient data centers are a priority, with liquid cooling, intelligent power distribution, and monitoring systems gaining popularity. Advanced features like artificial intelligence, automation, incident response, and recovery procedures are essential for ensuring safety and minimizing cooling issues during power outages. Cooling solutions must be flexible and secure to accommodate load conditions and support the growing demand for data generation from OTT platforms, streaming services, cloud services, big data, and connected devices.

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Market Challenges

Data centers face numerous environmental challenges that impact their operations worldwide. Fluctuating temperatures, extreme humidity, and high atmospheric dust are common issues, particularly in regions with adverse climatic conditions. To address these concerns, data center operators must employ humidity controllers tailored to local requirements, capable of reacting to sudden environmental changes. Dust and airborne particles can cause mechanical failure in cooling fans and disrupt I/O port connectivity, while excessive gas emissions and noise levels pose additional challenges. As the demand for data center capacity increases globally, organizations are investing in new facilities to store and process growing amounts of data from advanced technologies like cloud computing, big data, and IoT. However, this growth comes with rising IT costs and carbon emissions, primarily from the operation of IT servers, generators, building shells, and cooling systems, as well as the use of non-renewable energy sources. Microsoft, for instance, has reduced the use of diesel generators to make its data centers more sustainable and less reliant on the utility grid. Environmental concerns, including carbon emissions, pose a significant threat to the growth of the global data center cooling solutions market during the forecast period.The Data Center Cooling Solutions market is facing challenges due to temperature surges, requiring advanced row/rack-based cooling and precision cooling capabilities. Future-proof solutions are essential for medium-sized enterprises undergoing digital transformation and adopting cloud computing services, AI-driven applications, and centralized storage. Energy consumption and carbon emissions are key concerns, necessitating energy-efficient and environmentally sustainable cooling systems. Data center operators must address heat dissipation, networking, computing capacity, authentication, and infrastructure components, including servers, network switches, power distribution units, and storage devices. Data backup, archiving, authorization, and IT hardware infrastructures also require consideration. Low-power-consuming cooling techniques, such as AI and Industry 4.0 innovations, are essential for optimizing energy savings, carbon savings, and space utilization. Tech companies and data center managers must focus on energy efficiency, power density, rack power densities, heat generation, and data center deployments to meet the demands of the digital age.

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

Segment Overview

This data center cooling solutions market report extensively covers market segmentation by

Application1.1 Air conditioning1.2 Economizers1.3 Cooling towers1.4 Chillers1.5 OthersTechnique2.1 Air-based cooling2.2 Liquid-based coolingGeography3.1 APAC3.2 North America3.3 Europe3.4 Middle East and Africa3.5 South America

1.1 Air conditioning- Data centers require specialized cooling solutions to maintain optimal operating conditions for IT equipment. Precision air conditioning units, such as Computer Room Air Handlers (CRAH) and Computer Room Air Conditioning (CRAC) units, play a crucial role in managing temperature and humidity. CRAH units, which use water-chilled systems, are suitable for large data centers, while CRAC units, with mechanical refrigeration, are ideal for moderate-sized facilities. Precision air conditioners, including these units, offer precise temperature and humidity control, higher efficiency, and lower power consumption compared to comfort air conditioners. The increasing heat density in data centers due to high-performance computing infrastructure and virtualization will drive the adoption of precision air conditioners. New data center constructions and renovations will further fuel market growth. Despite the initial higher cost of chilled water systems, the reduction in air conditioner prices and the need for efficient cooling solutions will ensure steady revenue growth during the forecast period.

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

Learn and explore more about Technavio’s in-depth research reports

The global Data Center Liquid Immersion Cooling market is poised for significant growth, driven by rising data processing needs and energy efficiency demands. In parallel, the Data Center Mechanical Construction market is expanding due to the increasing complexity of data center infrastructure and the need for robust cooling and power solutions. Additionally, the Data Center Rack PDU market is experiencing growth as businesses seek advanced power distribution units to support high-density server environments. Collectively, these markets reflect the evolving landscape of data center technology and infrastructure.

Research Analysis

The Data Center Cooling Solutions market is witnessing significant growth due to the increasing demand for data-intensive applications, cloud computing, and digital services. IT infrastructure requires efficient cooling solutions to manage heat dissipation, especially with the rise of AI-driven applications and energy-consuming servers, network switches, and colocation services. Pre-engineered cooling modules and advanced cooling techniques are becoming popular for their energy efficiency and ability to handle high data traffic and load conditions. Centralized storage, networking, and computing capacity also require cooling solutions to ensure optimal performance. Power management is a crucial factor in data centers, and cooling solutions must be designed to minimize energy consumption. Data generation from various sources, including OTT platforms and streaming services, further increases the need for effective cooling solutions.

Market Research Overview

The Data Center Cooling Solutions market is witnessing significant growth due to the increasing demand for data-intensive applications, cloud computing, and digital services. With the IT industry’s rapid expansion, IT infrastructure requirements are surging, leading to an increase in power consumption and heat dissipation. In the 5G internet era, data traffic is expected to increase exponentially, putting additional pressure on data centers to maintain optimal temperatures. Cooling technologies such as pre-engineered cooling modules, precision cooling capabilities, and low-power-consuming techniques are gaining popularity to improve energy efficiency and environmental sustainability. The market is also witnessing the adoption of future-proof cooling solutions that can handle high power densities and rack power densities. Medium-sized enterprises are increasingly investing in digital transformation, leading to an increase in data center deployments. Cooling expenses are a significant portion of data center operating costs, making energy savings and carbon savings crucial. The market is also witnessing the adoption of AI-driven applications for predictive maintenance and optimization of cooling systems. Data center operators are focusing on space utilization, power interruptions, and data protection to ensure business continuity. The market is witnessing the adoption of cooling systems such as air conditioners, precision air conditioners, liquid cooling, and room-based, row-based, and rack-based cooling solutions. Industry 4.0, IoT, and cloud-based services are also driving the market’s growth. Energy efficiency, environmental sustainability, and carbon emissions are critical considerations for data center managers. The market is witnessing the adoption of plug-in systems, centralized storage, networking, and infrastructure components to optimize cooling expenses. Outsourcing data center operations to colocation service providers and web hosting companies is also on the rise to reduce capital expenditures and improve operational efficiency. Energy savings and carbon savings are essential for tech companies to reduce their carbon footprint and meet sustainability goals. The market is witnessing the adoption of cooling systems that use renewable energy sources and liquid cooling equipment. The market is also witnessing the adoption of cooling systems that use natural cooling methods such as airflow paths and evaporative cooling. The market is witnessing the adoption of cooling systems that use renewable energy sources and natural cooling methods such as airflow paths and evaporative cooling. Data center workload, power density, and heat generation are critical factors driving the market’s growth. The market is also witnessing the adoption of cooling systems that use artificial intelligence (AI) for predictive maintenance and optimization of cooling systems. The market is witnessing the adoption of cooling systems that use artificial intelligence (AI) for predictive maintenance and optimization of cooling systems. Data center cooling solutions are essential for IT and telecom, manufacturing, healthcare, energy and utilities, and web hosting industries. The market is also witnessing the adoption of cooling systems that use renewable energy sources and natural cooling methods such as airflow paths and evaporative cooling. The market is witnessing the adoption of cooling systems that use renewable energy sources and natural cooling methods such as airflow paths and evaporative cooling. Data center cooling solutions are essential for IT and telecom, manufacturing, healthcare, energy and utilities, and web hosting industries. The market is also witnessing the adoption of cooling systems that use AI for predictive maintenance and optimization of cooling systems, reducing power interruptions and improving energy efficiency. The market is witnessing the adoption of cooling systems that use AI for predictive maintenance and optimization of cooling systems, reducing power interruptions and improving energy efficiency. Data center cooling solutions are essential for IT and telecom, manufacturing, healthcare, energy and utilities, and web hosting industries. The market is also witnessing the adoption of cooling systems that use renewable energy sources and natural cooling methods such as airflow paths and evaporative cooling, ensuring environmental sustainability and reducing cooling expenses.

Table of Contents:

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

ApplicationAir ConditioningEconomizersCooling TowersChillersOthersTechniqueAir-based CoolingLiquid-based CoolingGeographyAPACNorth 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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Technology

Yiren Digital Accelerates Operating Efficiency Through AI Agent Deployment

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Broader AI adoption improves productivity across asset recovery and enterprise operations

BEIJING, July 23, 2026 /PRNewswire/ — Yiren Digital Ltd. (NYSE: YRD) (“Yiren Digital” or the “Company”), a leading company specializing in financial technology and artificial intelligence innovation across multiple industries in China and global markets, today announced measurable operating efficiency improvements as it continues to deploy AI agents across core enterprise workflows. Broader AI adoption is reducing manual intervention, increasing workforce productivity and creating greater operating leverage by automating high-volume processes across multiple business functions.

These deployments are a key component of Yiren Digital’s “All-in-AI” strategy and its broader transition from AI-assisted productivity toward agent-driven execution. By embedding AI agents into core workflows, the Company is creating reusable operating capabilities that can be deployed across its businesses, supporting greater efficiency and reducing the cost of extending automation into new functions.

“Our objective is not simply to automate individual tasks, but to fundamentally improve how work is performed across the enterprise,” said Mr. Ning Tang, Chairman and Chief Executive Officer of Yiren Digital. “As AI agents take on more of our high-volume, demanding workflows, the productivity gains are becoming a structural part of how we run the business, not a one-time efficiency project. We will continue to deepen AI integration across our existing businesses while extending reusable capabilities into additional verticals.”

The AI deployments are supported by the Company’s proprietary enterprise AI architecture, including MagiCube 2.0, its upgraded multi-agent platform. The platform provides common infrastructure for agents deployed across marketing, customer service, capital operations, risk management, compliance and research and development, with more than 10 reusable foundational capabilities, supporting enterprise-wide execution.

Measurable Operating Impact

Lower manual intervention: The human handling rate in asset-recovery operations decreased from 45.0% to 24.9%, representing a 20.1-percentage-point decline, an approximately 44.6% relative reduction in manual intervention.

Higher staff productivity: The number of service tickets handled per asset-recovery staff member within the applicable Month 1 workflow increased from 358 to 525, an improvement of approximately 47%.

Expanded agent adoption: AI agents accounted for 81% of service tickets within eligible Day 1 asset-recovery workflows in 2025, up from 50% in 2024. The Company also deployed AI agents selectively in later-stage workflows, accounting for 20% of eligible service tickets at Day 4, 14% at Day 16 and 20% at Month 2. Each percentage is calculated separately for the relevant stage and should not be interpreted as a sequential adoption trend.

Enterprise-wide reuse: MagiCube 2.0 supports agent deployment across six enterprise functions, allowing the Company to apply common AI capabilities to a broader range of regulated and high-volume workflows.

Enterprise-scale AI execution: The Fengchao AI voice agent processes approximately 1,500 hours of real-time speech-to-text activity each day. The LingShu intelligent marketing platform executes more than 1,700 tasks daily and generates individualized communication content in an average of 0.6 seconds.

Building Enterprise Operating Leverage Through AI

As AI deployment expands across the enterprise, Yiren Digital is increasingly shifting repetitive, high-volume tasks from human-assisted processes toward agent-driven execution. By combining AI agents with centralized orchestration and governance, the Company is improving operating consistency, strengthening workforce productivity and creating reusable capabilities that increase operating leverage as AI is deployed across additional business functions.

Yiren Digital plans to continue expanding agent-driven workflows across its credit and insurance operations, as part of its ongoing All-in-AI strategy, while strengthening the shared architecture and governance that support enterprise-wide AI deployment. These capabilities are designed to scale across multiple use cases and provide a foundation for the Company’s broader expansion into AI application-layer opportunities, including AI entertainment and AI-assisted language learning.

About Yiren Digital

Yiren Digital Ltd. is a leading company specializing in financial technology and artificial intelligence innovation across multiple industries in China and global markets. The Company leverages advanced artificial intelligence and emerging technologies to enhance customer experience, optimize capital efficiency, and expand financial inclusion. Following the regulatory filing of its in-house developed Large Language Model Zhiyu, and the significant enhancement of its MagiCube Agent platform, Yiren Digital is establishing a new growth engine to accelerate its evolution into an AI-native, multi-industry operating platform extending beyond traditional financial services. For more information, please visit https://ir.yiren.com.

Safe Harbor Statement

This press release contains forward-looking statements. These statements are made under the “safe harbor” provisions of the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “aim,” “anticipate,” “believe,” “estimate,” “expect,” “hope,” “going forward,” “intend,” “ought to,” “plan,” “project,” “potential,” “seek,” “may,” “might,” “can,” “could,” “will,” “would,” “shall,” “should,” “is likely to” and the negative form of these words and other similar expressions. This press release contains forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and as defined in the U.S. Private Securities Litigation Reform Act of 1995. These statements can be identified by terminology such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates,” “target,” “confident,” and similar expressions. Forward-looking statements are based on management’s current expectations, assumptions, and assessments of current market and operating conditions. These statements involve inherent risks, uncertainties, and other factors, many of which are outside the control of the Company, and which could cause actual results to differ materially from those expressed or implied in such statements. Actual results may differ materially from those expressed or implied in forward-looking statements due to a variety of factors and other risks described in the Company’s filings with the U.S. Securities and Exchange Commission. All forward-looking statements speak only as of the date of this press release. The Company undertakes no, and expressly disclaims any, obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as required under applicable law.

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SOURCE Yiren Digital Ltd.

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Infinium Edge Launches EdgeSites™, a New Infrastructure Model for Deploying AI Compute at Existing Commercial and Industrial Facilities

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EdgeSites delivers operational AI infrastructure in existing powered buildings — factory-built data center modules, waterless cooling, and ready in months without new construction or grid interconnection required.

SACRAMENTO, Calif., July 23, 2026 /PRNewswire/ — Infinium Edge™ today announced Infinium EdgeSites™, a development program that utilizes existing commercial and industrial facilities to deploy operational AI compute infrastructure. Built around Infinium Edge’s proprietary Edge Thermal Vectoring™ immersion cooling platform, EdgeSites enables high-density GPU deployments in existing buildings that were never designed as data centers — without new construction, without cooling water infrastructure, and without the multi-year grid interconnection timelines that constrain conventional large-scale data center development.

More than 20 million commercial and industrial electricity customers in the US are served by electrical infrastructure sized to peak demand – which industry research shows are utilized at only 40-60% on average. That unused headroom, capacity already contracted, energized, and sitting behind the meter, can support high-density AI compute without adding new load to the grid or waiting on a new interconnection.

At the center of the program is the Vector ONE™ — Edge’s factory-built, self-contained immersion cooling system designed to house 1 MW of AI compute capacity. Vector ONE units are engineered for deployment in standard commercial and industrial buildings, either indoors or outdoors, arriving pre-integrated, fully commissioned and require no municipal water connection. Installations are modular and scalable: additional units can be commissioned as site power and demand allow, without rebuilding the underlying infrastructure and occupy up to 70% less floor space than air-cooled equivalents.

Built for the Shift to Inference

As inference moves to displace training as the dominant AI workload, the growth opportunity is shifting towards small, distributed data centers that can be deployed quickly and sited where demand originates. Conventional data center developments are under compounding pressure from long utility interconnection queues, sometimes lasting years, pressure around water use, and general community and regulatory opposition enacting restrictions. Community opposition and regulatory friction delayed or blocked an estimated $156 billion in planned U.S. data center capacity in 2025 alone.

EdgeSites is purpose-built for the structural shift to inference and addresses key issues stalling conventional data center developments today. Each Vector ONE unit delivers 1 MW of inference-ready capacity inside an existing building, in a market that already has established electrical infrastructure, in a timeline measured in months rather than years. Multiple units can be used in tandem to deploy up to 10 MW of capacity at a single site.  The program converts the distributed inventory of underutilized industrial or commercial electrical capacity in the United States into a nationally scaled inference network. Vector ONE’s dry-cooler loop consumes no municipal water, making EdgeSites viable in markets where evaporative cooling has been restricted or banned.

“The data center industry has been answering an infrastructure shortage with a construction playbook — build new facilities, secure new grid connections, wait years for capacity to come online,” said Robert Schuetzle, CEO of Infinium. “That model cannot keep pace with AI deployment timelines. Infinium EdgeSites operate around different premises: the power already exists, the buildings already exist, and the technology now exists to put them to work. We are making operational what the industry has been treating as stranded.”

Deploying EdgeSites

As demand for AI compute continues to outpace available infrastructure and focuses on distributed inference needs, Infinium Edge is expanding the EdgeSites network with qualified host locations and compute partners.

Commercial and industrial property owners of industrial sites, distribution centers, warehouses, or large commercial properties with available electrical capacity benefit from receiving lease income from infrastructure they already own or control. Infinium Edge manages all aspects of site development and operations for installing and deploying the Vector ONE system. No capital investment or operational responsibility is required from the host.

AI companies, enterprises, and compute operators requiring infrastructure on compressed deployment timelines can access high-density, edge-proximate GPU capacity through a straightforward capacity agreement, priced by the kilowatt-month, with backup power included in the capacity fee. There is no construction to manage, no permitting process to navigate, and no cooling infrastructure to operate or maintain.

Infinium Edge manages the full program from development and installation to operation and monitoring— simplifying development and data center management for AI companies and enterprises.

Reach out to learn more and partner in EdgeSites deployments.

Inquiries: www.infinium.ai/edgesites

About Infinium Edge™
Infinium Edge™ is the advanced AI data center infrastructure platform from Infinium, delivering high-density, sustainable compute through proprietary single-phase immersion cooling technology. Infinium Edge is the only North American producer of Fischer-Tropsch immersion fluids and offers a full-stack platform — including Edge Thermal Vectoring™ platform, Vector ONE™ modular AI Factory units, ETV100 immersion fluids, and integrated monitoring systems — engineered for the thermal and operational demands of AI and high-performance computing at scale. For more information, visit www.infinium.ai.

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SOURCE Infinium

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ChipMOS SCHEDULES SECOND QUARTER 2026 FINANCIAL RESULTS SEMIANNUAL CONFERENCE CALL

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HSINCHU, July 23, 2026 /PRNewswire-FirstCall/ — ChipMOS TECHNOLOGIES INC. (“ChipMOS” or the “Company”) (Taiwan Stock Exchange: 8150 and Nasdaq: IMOS), an industry leading provider of outsourced semiconductor assembly and test services (“OSAT”), today announced that it will report second quarter 2026 results and host a semiannual conference call after the close of trading on the Taiwan Stock Exchange on Tuesday, August 11, 2026.

Investors and analysts are encouraged to participate in the semiannual conference call using the dial-in phone number noted below. A webcast and replay will be available on the Company’s website.

Date: Tuesday, August 11, 2026
Time: 3:00PM Taiwan (3:00AM New York)
Dial-In: +886-2-3396 1191
Password: 1637011 #

Semiannual Conference Call Webcast and Replay: https://www.chipmos.com/chinese/ir/info2.aspx
Replay: Starts Approximately 2 hours after the live call ends

Language: Mandarin

Note: A transcript will be provided on the Company’s website in English following the semiannual conference call to help ensure transparency, and to facilitate a better understanding of the Company’s financial results and operating environment.

About ChipMOS TECHNOLOGIES INC.:
ChipMOS TECHNOLOGIES INC. (“ChipMOS” or the “Company”) (Taiwan Stock Exchange: 8150 and Nasdaq: IMOS) (www.chipmos.com) is an industry leading provider of outsourced semiconductor assembly and test services. With advanced facilities in Hsinchu Science Park, Hsinchu Industrial Park and Southern Taiwan Science Park in Taiwan, ChipMOS is known for its track record of excellence and history of innovation. The Company provides end-to-end assembly and test services to leading fabless semiconductor companies, integrated device manufacturers and independent semiconductor foundries serving virtually all end markets worldwide.

Forward-Looking Statements:
This press release may contain certain forward-looking statements. These forward-looking statements may be identified by words such as ‘believes,’ ‘expects,’ ‘anticipates,’ ‘projects,’ ‘intends,’ ‘should,’ ‘seeks,’ ‘estimates,’ ‘future’ or similar expressions or by discussion of, among other things, strategies, goals, plans or intentions. These statements may include financial projections and estimates and their underlying assumptions, statements regarding current macroeconomic conditions, including the impacts of high inflation, foreign exchange rates and risk of recession, on demand for our products, consumer confidence and financial markets generally; changes in trade regulations, policies, and agreements and the imposition of tariffs that affect our products or operations, including potential new tariffs that may be imposed and our ability to mitigate with respect to future operations, products and services, and statements regarding future performance. Actual results may differ materially in the future from those reflected in forward-looking statements contained in this document, based on a number of important factors and risks, which are more specifically identified in the Company’s most recent U.S. Securities and Exchange Commission (the “SEC”) filings. Further information regarding these risks, uncertainties and other factors are included in the Company’s most recent Annual Report on Form 20-F filed with the SEC and in its other filings with the SEC.

Contacts:

In Taiwan

Jesse Huang

ChipMOS TECHNOLOGIES INC.

+886-6-5052388 ext. 7715

IR@chipmos.com

In the U.S.

David Pasquale

Global IR Partners

+1-914-337-8801

dpasquale@globalirpartners.com

 

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SOURCE ChipMOS TECHNOLOGIES INC.

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