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Mining Automation Market to Reach $8.3 billion, Globally, by 2034 at 7.1% CAGR: Allied Market Research

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WILMINGTON, Del., May 5, 2025 /PRNewswire/ — The mining automation market is propelled by increasing demand for enhanced safety, improved productivity, and cost efficiency in mining operations. Rising concerns over worker safety in hazardous environments are encouraging the adoption of autonomous equipment and remote operation technologies. Additionally, the need to boost output and reduce operational downtime is driving investments in automated systems such as autonomous trucks, drilling, and robotic equipment. Technological advancements, including AI, IoT, and real-time data analytics, further support this shift. Moreover, growing pressure to optimize resource extraction and comply with environmental regulations fuels the need for precise, automated mining processes.

Allied Market Research published a report, titled, ‘Mining Automation Market by Offerings (Sensors and LiDAR Systems, GPS and GNSS Modules, Industrial Cameras and Vision Systems, Connectivity and Communication Systems, Others), by Technique (Underground Mining, Surface Mining), by Component (Metal Mining, Mineral Mining, Coal Mining): Global Opportunity Analysis and Industry Forecast, 2025-2034′. According to the report, the ‘mining automation market’ was valued at $4.2 billion in 2024, and is estimated to reach $8.3 billion by 2034, growing at a CAGR of 7.1% from 2025 to 2034.

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130-Tables 47-Charts330-Pages 

Prime determinants of growth

The mining automation market is expected to witness notable growth owing to the increasing demand for operational efficiency, worker safety, and reduced human intervention in hazardous environments which is driving the demand for mining automation market. Moreover, the growth of underground mining is expected to provide lucrative opportunity for the growth of the market during the forecast period. On the contrary, limitations of mining automation costs restrict the growth of the mining automation market.

Report coverage & details:

Report Coverage

Details

Forecast Period

2025–2034

Base Year

2024

Market Size in 2024

$4.2 billion

Market Size in 2034

$8.3 billion

CAGR

7.1 %

No. of Pages in Report

300

Segments Covered

Offerings, Technique, Component,  and Region

Drivers

Rise in Demand for Fleet Management SystemGrowing Concern for Mine and Labor Safety

 

Opportunities

Increase in Deployment of Autonomous Haulage System (AHS)

 

Restraint

High Initial Capital Investment

 

Sensor and LiDar segment dominated the market in 2024.

By offering, the sensor and LiDar segment held the highest market share in 2024 accounting for more than one-fifths of the mining automation market revenue and is estimated to maintain its leadership status throughout the forecast period, owing to their critical role in enabling real-time data collection, terrain mapping, and obstacle detection. These technologies enhance operational accuracy, safety, and efficiency by providing precise environmental awareness, which is essential for autonomous machinery. Additionally, advancements in sensor and LiDAR technologies—such as improved resolution, durability, and cost-effectiveness—are driving their widespread adoption in both surface and underground mining applications. Moreover, the sensor and LiDar segment is projected to manifest the highest CAGR of 8.2% from 2025 to 2034.

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Surface Mining segment dominated the market in 2024.

By Technique, the surface mining segment dominated the market share in 2024 accounting for more than two-thirds of the global mining automation market revenue, due to its large-scale operations, ease of equipment deployment, and lower complexity compared to underground mining. Surface mining allows for the more efficient use of autonomous vehicles, drilling systems, and real-time monitoring technologies, which significantly boost productivity and reduce operational costs. The availability of expansive, open terrains further supports the implementation of automated solutions, making surface mining more conducive to technological integration and large-scale automation initiatives. Moreover, the surface mining segment is projected to manifest the highest CAGR of 7.4% from 2025 to 2034.

Mineral Mining segment dominated the market in 2024.

By component, the mineral mining segment held the highest market share in 2024, contributing to nearly half of the global mining automation market revenue, due to the increasing demand for a wide range of minerals used in construction, electronics, renewable energy, and industrial processes. The growing consumption of minerals such as copper, iron ore, and lithium—driven by urbanization, infrastructure development, and the clean energy transition—has pushed mining companies to adopt automation for greater efficiency, precision, and scalability. However, the metal mining segment is projected to manifest the highest CAGR of 8.16% from 2025 to 2034.

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Asia-Pacific region is expected to continue its dominance throughout forecast period.

Based on the region, Asia-Pacific held the highest market share in terms of revenue in 2024, accounting for more than two-fifths of the global mining automation market revenue, owing to the presence of large-scale mining operations in countries like China, Australia, and India, as well as increasing investments in automation technologies to boost productivity and safety. The region’s rich mineral reserves, growing demand for metals and minerals to support industrialization and infrastructure development, and supportive government initiatives for digital transformation in mining have further accelerated the adoption of automated solutions. Moreover, the Asia-Pacific segment is projected to manifest the highest CAGR of 8.0% from 2025 to 2034.

Mining Automation Market Kery Players: –

Epiroc ABHexagon ABABB Ltd.FLSmidthSiemensSandvik ABCaterpillar Inc.Metso Outotec CorporationRockwell Automation Inc.Komatsu

The report provides a detailed analysis of these key players in the global mining automation market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different regions. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.

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Mining Automation Market Segmentation Overview:

By Offerings

Sensors and LiDAR SystemsGPS and GNSS ModulesIndustrial Cameras and Vision SystemsConnectivity and Communication SystemsOthers

By Technique

Underground MiningSurface Mining

By Component

Metal MiningMineral MiningCoal Mining

By Region

North America: U.S., Canada, MexicoEurope: Germany, UK, France, Italy, Rest of EuropeAsia-Pacific: China, Japan, India, South Korea, Rest of Asia-PacificLAMEA: Latin America, Middle East, Africa

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About Us: 

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Wilmington, Delaware. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports Insights” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain. 

We are in professional corporate relations with various companies, and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry. 

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Electrolux Group to end production in Jászberény, Hungary

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STOCKHOLM, April 22, 2026 /PRNewswire/ — Electrolux Group has decided to end production at the Jászberény, Hungary factory, which manufactures built-in and freestanding refrigeration products. Production is expected to cease by the end of 2026. A restructuring charge of approximately SEK 0.6 billion, of which SEK 0.3 billion is cash related, will be reported as a negative non-recurring item affecting operating income for Region Europe, Middle East & Africa and Asia-Pacific in the second quarter of 2026.

The decision follows a review of the company’s strategy to strengthen cost competitiveness and increase agility through production footprint optimization. This is driven by the current competitive environment, which is impacted by stagnant market demand, price pressure, and increasing constraints on cost competitiveness. The planned site closure will impact approximately 600 employees.

Electrolux Group will fully meet demand for refrigeration products by leveraging existing operations as well as working with external OEM partners. The decision does not affect the local sales and marketing activities managed by the Budapest office. 

This is information that AB Electrolux is obliged to make public pursuant to the EU Market Abuse Regulation. The information was submitted for publication, through the agency of the contact person set out below, on 22-04-2026 08:30 CET.

For more information:

Ann-Sofi Jönsson, Head of Investor Relations & Sustainability Reporting, +46 73 025 1005

Maria Åkerhielm, Investor Relations Manager, +46 70 796 3856

Henry Sjölin, Investor Relations Manager, +46 76 863 51 85

Electrolux Group Press Hotline, +46 8 657 65 07

This information was brought to you by Cision http://news.cision.com

https://news.cision.com/electrolux-group/r/electrolux-group-to-end-production-in-jaszbereny–hungary,c4337676

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https://mb.cision.com/Main/1853/4337676/4051089.pdf

Press release Hungary April 22 2026 ENG final

 

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SOURCE Electrolux Group

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MediaGo and hipto Secure Another Les Cas d’Or Gold in Performance Marketing

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SAN FRANCISCO, April 22, 2026 /PRNewswire/ — Recently, MediaGo, a global intelligent advertising platform, and hipto, France’s premier lead generation specialist, won Gold in the “Content and Vertical Industries” category at the prestigious French digital marketing awards, Les Cas d’Or. Recognized for a benchmark performance marketing campaign in the health insurance sector, this award—voted on by over 40 brand marketing directors—serves as further authoritative validation of MediaGo’s technical prowess and service capabilities in the European market.

Following previous wins of Gold in the Native Advertising category and Bronze in the Banking & Insurance Acquisition category, this latest industry honor marks another significant milestone. It underscores that MediaGo’s localized native advertising capabilities, along with its ability to apply deep learning technologies in complex user acquisition scenarios across France and Europe, have earned high acclaim from both the market and industry experts, cementing its position at the forefront of the industry.

The French health insurance market is highly competitive and saturated. Local advertisers have long relied heavily on search and social media channels, resulting in persistently high CPAs and significant traffic inflation. Addressing these industry pain points, MediaGo and hipto collaborated to pioneer a new growth trajectory, establishing the open web as the third core acquisition pillar alongside search and social. By leveraging premium local news and information publishers in France, they seamlessly integrated native ads into media environments, providing the insurance sector with a scalable, replicable growth blueprint to effectively counter traffic inflation.

This award-winning campaign focused on scaling the acquisition of high-intent leads in the insurance sector. It successfully overcame three structural challenges inherent in traditional bidding models: reactive algorithms, high cold-start costs, and the difficulty of balancing scale with efficiency. This achievement further validates MediaGo’s strong operational capabilities and its innovation in native advertising within the French market.

Powered by five deep learning models and the newly upgraded SmartBid 3.0, MediaGo precisely predicts the conversion probability of each ad impression in real time. Paired with hipto’s high-frequency creative iterations (3–5 times per week), MediaGo continuously identifies high-potential audience clusters, further enhancing targeting precision. In addition, SmartBid 3.0’s unique “global learning” mechanism reduced the cold start learning cycle for new campaigns by 50%. This partnership enabled campaigns to achieve stable monetization from day one.

By utilizing SmartBid 3.0’s MaxCV mode, hipto’s campaigns achieved a dual breakthrough in both scale and efficiency. Data shows an immediate 32% uplift in monthly conversion volume and a threefold increase in lead volumes over the longer term, successfully expanding market share within a saturated vertical. Additionally, native ad CTR surpassed the industry benchmark by 53%, demonstrating the platform’s ability to precisely target high-intent users. Notably, even with a 48% increase in mobile budget allocation, CPA decreased by 2.6%, proving that volume scaling and margin preservation can coexist.

Leo Ye, Head of Partnerships at MediaGo, stated: “Winning the Les Cas d’Or Gold for Performance Marketing is a strong endorsement of MediaGo’s technical strength and localized service capabilities. We remain committed to a performance-driven, advertiser-centric approach, deepening our footprint in the French market to help advertisers break through growth bottlenecks in a saturated landscape.”

Looking ahead, MediaGo will continue to deepen its presence in Europe. With deep learning at its core, the platform aims to continuously enhance its native advertising capabilities and localized operations, delivering tangible value to global advertisers and empowering partners to achieve high-quality, sustainable business growth in complex market environments.

About MediaGo

MediaGo is a leading intelligent advertising platform. Based on deep learning algorithms, MediaGo empowers businesses of all scales, creating tangible value for companies. With 12 operational centers worldwide, MediaGo has successfully provided localized and comprehensive business growth services to over 10,000 partners.

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Dandelion Civilization launches a Human Intelligence Platform to make talent risk visible before it becomes expensive

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New Human Intelligence Platform helps employers assess role fit, team dynamics, and early behavioral risk to avoid costly talent decisions.

AMSTERDAM, April 22, 2026 /PRNewswire/ — Dandelion Civilization today announced the launch of its Human Intelligence Platform at HR Tech Europe 2026, introducing a new approach to talent management and workforce decision-making, built around behavioral intelligence rather than instinct alone.

The launch addresses a problem many organizations already understand but still struggle to solve. Talent mis-matches are expensive, early misalignment is difficult to correct, and quality of hire remains hard to improve because the real consequences often appear months after a decision is made. Industry estimates frequently place the total cost of hiring a new employee at several times the position’s salary, especially when poor fit leads to replacement, lost productivity, and disruption.

While much of the HR technology market has focused on the hiring stage itself, Dandelion Civilization is taking a different route. The platform is designed to help employers understand how people are likely to perform in real conditions by revealing how they think, act, and interact across hiring, team development, and workforce risk.

At the core of the platform is a behavioral intelligence layer that creates continuous, evolving profiles of individuals and teams. Rather than relying only on CVs, interviews, or static questionnaires, Dandelion Civilization uses behavioral simulations to surface signals around decision making, collaboration, pressure response, and alignment. According to the company’s launch materials, the product is built around three core areas: hiring intelligence, team dynamics, and behavioral risk. It is designed to support decisions before day one, strengthen visibility into how individuals affect team performance, and identify patterns that may point to conflict, disengagement, or misalignment before those issues damage business outcomes.

“We are not creating another assessment tool,” said Dmitry Zaytsev, Founder and CEO of Dandelion Civilization. “We are building the infrastructure for better talent decisions. Companies often discover the true cost of misalignment too late, when trust weakens, performance slips, or the hiring process has to begin again. We want to make those signals visible earlier, when organizations can still act on them.”

The company says the platform is designed to fit into existing workflows without technical friction. Employers send a link, candidates complete an online simulation, and talent teams receive a decision-ready report. The launch deck states that the simulation takes around 20 to 40 minutes, requires no integration, and works in any browser.

While the platform begins with hiring, Dandelion Civilization is positioning the launch as the first step toward a broader layer of human capital intelligence that can support team design, talent development, and earlier visibility into people related risk over time.

About Dandelion Civilization
Dandelion Civilization is building a Human Intelligence Platform that helps organizations understand how people think, act, and interact across the employment lifecycle. Using behavioral simulations and digital profiling, the platform supports hiring, team development, and earlier visibility into workforce risk. Its launch materials describe the product as a system designed to reduce talent blind spots and reveal behavior beyond profiles.

 

 

 

 

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