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Digital Transformation Market in Oil and Gas Industry Set to Grow by USD 56.4 Billion from 2025-2029, Driven by Investments, with AI Driving Market Transformation – Technavio

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NEW YORK, Feb. 7, 2025 /PRNewswire/ — Report with the AI impact on market trends – The global digital transformation market in oil and gas industry  size is estimated to grow by USD 56.4 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of  14.5%  during the forecast period. Rise in investments and partnerships is driving market growth, with a trend towards use of digital twin technology. However, lack of skilled labor  poses a challenge. Key market players include Accenture PLC, Amazon.com Inc., AVEVA Group Plc, Emerson Electric Co., General Electric Co., Halliburton Co., Informatica Inc., Intel Corp., International Business Machines Corp., Microsoft Corp, NVIDIA Corp., Oracle Corp, Rockwell Automation Inc., SAP SE, Siemens AG, Sierra Wireless Inc., Tata Consultancy Services Ltd., Teradata Corp., and TIBCO Software Inc..

AI-Powered Market Evolution Insights. Our comprehensive market report ready with the latest trends, growth opportunities, and strategic analysis- View Free Sample Report PDF

Forecast period

2025-2029

Base Year

2024

Historic Data

2019 – 2023

Segment Covered

Technology (IoT, E and P software, Big data, Cloud computing, and Others), Sector (Downstream, Upstream, and Midstream), and Geography (APAC, North America, Middle East and Africa, Europe, and South America)

Region Covered

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

Key companies profiled

Accenture PLC, Amazon.com Inc., AVEVA Group Plc, Emerson Electric Co., General Electric Co., Halliburton Co., Informatica Inc., Intel Corp., International Business Machines Corp., Microsoft Corp, NVIDIA Corp., Oracle Corp, Rockwell Automation Inc., SAP SE, Siemens AG, Sierra Wireless Inc., Tata Consultancy Services Ltd., Teradata Corp., and TIBCO Software Inc.

Key Market Trends Fueling Growth

The Oil and Gas industry is undergoing a significant digital transformation. Trends like Big Data, Cloud Computing, IoT, AI, and Digital twins are revolutionizing Upstream, Midstream, and Downstream operations. In Exploration, Geoscience platforms use Data Science to analyze drilling prospects. In Refining, AI-based simulation and Prescriptive Maintenance optimize refinery throughput and manufacturing efficiency. Industrial Control Systems are being automated for better asset utilization and risk management. Extended Reality solutions monitor critical assets and facilities, enhancing safety and preventing fires. Field Devices and Sensor Systems use Predictive Analytics for preventive maintenance. Crude oil demand and refinery processes are monitored in real-time for optimal performance. Computer Vision and Turnaround planning tools ensure manufacturing efficiency and safety. Energy industries are embracing Digitalization, from Gas Stations to Petrochemicals, for improved risk management and operational excellence. 

The oil and gas industry is embracing digital transformation by integrating technologies like the digital twin. This innovation allows companies to create virtual models of their products, enabling comparison of actual and ideal conditions. By adopting digital twin technology, oil and gas firms can enhance safety, foster learning, and innovate production processes. Digital technology facilitates disparate views of sub-surface and surface systems, contributing to cost savings in energy production. 

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Market Challenges

The Oil and Gas industry is undergoing a significant digital transformation. Challenges such as Big Data, Cloud Computing, Internet of Things (IoT), Artificial Intelligence (AI), and Industrial Control Systems (ICS) are driving this change. Upstream, midstream, and downstream sectors are adopting digital solutions to monitor critical assets, optimize operations, and improve safety. Extended reality solutions are used to train workers and maintain facilities. Digital twins help explore new prospects in exploration and geoscience. Crude oil demand, High Speed Diesel, and refinery throughput are monitored using AI-based simulation and predictive analytics. Preventive maintenance is automated using prescriptive maintenance and sensor systems. Downstream operations, including petrochemicals, refining, and manufacturing efficiency, are improved using automation solutions and turnaround planning tools. Computer Vision is used for risk assessment and safety. The energy industries are digitalizing to monitor equipment performance, optimize energy usage, and manage application performance. IoT sensors are used to monitor critical assets, and AI is used for predictive maintenance and risk assessment. Extended reality solutions are used for training workers and maintaining facilities. Critical assets, including facilities and gas stations, are monitored using digitalization. AI and machine learning are used for optimization, automation, and risk assessment. Digitalization also helps in real-time monitoring of refining processes and preventive maintenance. The digital transformation in the Oil and Gas industry is essential for improving efficiency, reducing costs, and enhancing safety. It involves the adoption of various technologies such as Big Data, Cloud Computing, IoT, AI, and Extended Reality. The challenges include ensuring cybersecurity, integrating legacy systems, and training workers on new technologies. Despite these challenges, the benefits of digital transformation in the Oil and Gas industry are significant.Oil and gas producers are implementing advanced technologies, such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT) solutions, and big data analytics, to boost their return on investments. Big data has gained popularity due to the growing awareness of data-driven solutions. However, transforming massive datasets into valuable insights using big data analytics solutions necessitates technological expertise and analytics capabilities. Identifying the pertinent data for storage and processing is a significant challenge for professionals in data management. Moreover, analyzing unstructured data requires additional effort. Real-time analytics using big data and cloud-based software solutions offer oil and gas companies innovative opportunities to enhance oil production process efficiency, minimize costs and risks, ensure regulatory compliance, enhance safety, and make informed decisions.

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Segment Overview 

This digital transformation market in oil and gas industry report extensively covers market segmentation by

TechnologyIoTE And P SoftwareBig DataCloud ComputingOthersSectorDownstreamUpstreamMidstreamGeographyAPACNorth AmericaMiddle East And AfricaEuropeSouth America

1.1 IoT-  The oil and gas industry faces economic pressures from disparities in demand and supply, as well as volatile global energy prices. To address these challenges, companies are focusing on enhancing and extending the value of their existing assets while seeking new reserves. The implementation of Internet of Things (IoT) technology is a key strategy for transformation. In the upstream segment, IoT reduces non-productive time by enabling predictive maintenance of crucial equipment. In the midstream segment, IoT connects pipeline networks, monitors leaks and emissions, and optimizes emergency shutdown systems. In the downstream segment, real-time data analysis enables accurate consumer consumption predictions. IoT solutions in oil and gas are projected to increase crude output, profits, and global GDP. By deploying IoT devices across the value chain, organizations can make better decisions, create a safer working environment, and optimize operations. These benefits will drive the growth of the global digital transformation market in oil and gas industry.

Download complimentary Sample Report to gain insights into AI’s impact on market dynamics, emerging trends, and future opportunities- including forecast (2025-2029) and historic data (2019 – 2023) 

Research Analysis

The Digital Transformation Market in the Oil and Gas Industry is experiencing significant growth as companies seek to optimize operations, enhance safety, and improve efficiency. The integration of technologies like Big Data, Cloud Computing, Internet of Things (IoT), Artificial Intelligence (AI), and Industrial Control Systems (ICS) is revolutionizing the sector. Upstream, midstream, and downstream processes are being digitized, with a focus on monitoring critical assets and exploration prospects using data science and geoscience platforms. Extended Reality (XR) solutions are being used to train personnel and simulate complex processes, while AI-based simulation and automation are streamlining workflows. Field devices and gas stations are being connected to the cloud for real-time monitoring and preventive maintenance. Computer Vision is being used to detect anomalies and prevent fires. Digitalization is transforming energy industries, from automating processes to optimizing petrochemicals production.

Market Research Overview

The Digital Transformation Market in the Oil and Gas Industry is witnessing significant growth due to the integration of advanced technologies such as Big Data, Cloud Computing, Internet of Things (IoT), Artificial Intelligence (AI), Industrial Control Systems, Extended Reality (XR), and Field Devices. These technologies are revolutionizing Upstream, Midstream, and Downstream operations in the Energy Industries. Big Data and Data Science are used for Exploration Prospects and Geoscience Platforms to enhance Crude Oil Demand and High Speed Diesel production. Cloud Computing and AI-based Simulation optimize Refining Processes and improve Asset Utilization and Manufacturing Efficiency. IoT Sensor Systems monitor equipment performance, preventive maintenance, and detect potential Fires. XR solutions provide Workers with training experiences and facilitate Remote Operations. Automation and Optimization tools reduce Risk and improve Safety in critical assets and facilities. Predictive Analytics and Prescriptive Maintenance enable Preventive measures, while Computer Vision and AI enhance Turnaround Planning and Application Performance Management. The Digitalization of Downstream operations, including Petrochemicals and Refining, leads to increased Refinery Throughput and improved Crude Oil Demand forecasting.

Table of Contents:

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

TechnologyIoTE And P SoftwareBig DataCloud ComputingOthersSectorDownstreamUpstreamMidstreamGeographyAPACNorth AmericaMiddle East And AfricaEuropeSouth 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 Infiniti Research, Inc.

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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.

View original content:https://www.prnewswire.com/news-releases/yiren-digital-accelerates-operating-efficiency-through-ai-agent-deployment-302833201.html

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

 

View original content:https://www.prnewswire.com/news-releases/chipmos-schedules-second-quarter-2026-financial-results-semiannual-conference-call-302831885.html

SOURCE ChipMOS TECHNOLOGIES INC.

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