Last Updated -

August 5, 2026

MiningLamp

Company Profile and Market Insights

Explore the business model, global strategy, and market performance including insights into its position in China.

MiningLamp
Key facts
Founded 2004 • HKEX: 2718 • FY 2025 results (year ended Dec 31, 2025)
RMB 1,425.8m
FY 2025 revenue
55.4%
FY 2025 gross margin
RMB 25.0m
FY 2025 adjusted operating profit
RMB 42.0m
FY 2025 adjusted net profit
96.0%
2025 KA client renewal rate
RMB 100.2m
FY 2025 Agentic Services revenue

About

MiningLamp Technology is a Chinese enterprise AI and data-intelligence software company founded through a business history that dates to 2006 and headquartered in Chaoyang District, Beijing. The company serves large organizations with software and services that turn business data into operational decisions, especially in marketing intelligence and operational intelligence. Its products cover customer data management, marketing automation, social-media measurement, conversational intelligence, and smart-store operating systems.

MiningLamp has developed from enterprise data-intelligence services into a broader AI application company. In 2025, it launched Agentic Services, a business line powered by proprietary AI agents where customers pay for measurable outcomes such as marketing return on investment, content-production efficiency, and campaign execution. The company describes DeepMiner as its enterprise-grade trusted AI Agent platform, supported by proprietary models including Cito and Mano. It listed on the Hong Kong Stock Exchange Main Board on November 3, 2025, under stock code 2718, with founder Minghui Wu serving as chairman and CEO.

For 2025, MiningLamp reported revenue of RMB 1.43 billion, up 3.2% from 2024, with gross profit of RMB 789.6 million and a gross margin of 55.4%. Data Intelligence remained the core business at RMB 1.26 billion, or 88.4% of revenue, while the new Agentic Services line generated RMB 100.2 million in its first year. The company reported an operating loss of RMB 15.7 million, narrowed from RMB 132.3 million in 2024, and non-HKFRS adjusted net profit of RMB 42.0 million. Substantially all revenue came from Mainland China, where MiningLamp remains most exposed to enterprise software spending, AI adoption, and data-related regulation.

MiningLamp

Business Model and Market Position

MiningLamp is a Beijing-based enterprise AI and data-intelligence software company listed in Hong Kong. It makes money by selling data intelligence applications, AI-agent services, and related enterprise solutions, mainly to customers in Mainland China. The latest available financial statements are for FY 2025, as no Q1 2026 quarterly report was found in the provided materials.

Revenue in FY 2025 was RMB 1,425.8 million, up 3.2% year on year. Gross profit rose 10.8% to RMB 789.6 million, lifting gross margin to 55.4% from 51.6% in FY 2024. The company narrowed its operating loss to RMB 15.7 million and reported non-HKFRS adjusted operating profit of RMB 25.0 million. The reported net loss of RMB 6,412.7 million was mainly caused by fair value changes on preferred shares, warrants, and convertible notes, while non-HKFRS adjusted net profit was RMB 42.0 million.

MiningLamp reports one operating segment: the provision of data intelligence, agentic services, and other services. For investors, the business is best understood through three revenue streams

  1. Data Intelligence services: This is the core business, with FY 2025 revenue of RMB 1,260.4 million, or 88.4% of total revenue. It includes marketing intelligence and operational intelligence products such as customer data management, marketing automation, social-media data measurement, conversational intelligence, and smart-store operating systems.
  2. Agentic Services: This newer business generated RMB 100.2 million in FY 2025, or 7.0% of revenue. It uses MiningLamp’s AI agents to deliver outcome-linked services, where customers pay for measurable results such as marketing ROI, campaign execution, content-production efficiency, and business-process improvement.
  3. Other and industry solutions: This contributed RMB 65.2 million, or 4.6% of revenue. MiningLamp has been reducing this legacy project-based activity after deciding in 2022 not to take new industry-solutions projects except selected renewals.

Within Data Intelligence, marketing intelligence generated RMB 718.2 million in FY 2025, while operational intelligence generated RMB 542.2 million. Marketing intelligence is the larger business and aligns with the company’s history in customer data, advertising effectiveness, social media analytics, and enterprise marketing automation. Operational intelligence covers enterprise workflow and store-level use cases, including conversational intelligence and smart retail operations.

The main strategic shift is the move from software and project delivery toward AI-agent-based, outcome-linked services. MiningLamp describes DeepMiner as its enterprise-grade trusted AI Agent platform, supported by proprietary models including Cito and Mano. Management has made scaling Agentic Services a core 2026 priority, especially across content marketing, content entertainment, and AI-driven business process transformation.

MiningLamp’s competitive advantages are concentrated in four areas

  1. Enterprise data experience: The company has a long operating history in Chinese enterprise data intelligence, giving it accumulated domain knowledge across marketing and operational workflows.
  2. Marketing intelligence positioning: MiningLamp was selected in 2019 by China’s Ministry of Science and Technology as the national new-generation AI open innovation platform for marketing intelligence, supporting its domestic credibility in this category.
  3. Integrated data and AI stack: Its offering combines cross-platform marketing and operational data, knowledge graphs, privacy and data technologies, and AI agents designed for enterprise use cases.
  4. Key-account retention: The company reported a 96.0% renewal rate among key-account clients in 2025, and more than 30% of new key-account clients were acquired through Agentic Services.

MiningLamp’s market position is strongest in China, where substantially all FY 2025 revenue from external customers came from Mainland China and all non-current assets were located. This gives the company a clear domestic focus, with overseas activity still at an early strategic stage. Product globalization efforts, including the AdEff AI-driven creative testing and optimization product announced in Singapore, show ambition outside China, but current reported revenue remains overwhelmingly domestic.

Direct competitors include Chinese marketing technology, enterprise SaaS, digital marketing, and AI software providers. A relevant listed comparison is Marketingforce Management, a Hong Kong-listed China marketing SaaS and digital-marketing technology company. Broader AI software peers include SenseTime, although SenseTime has a wider computer vision and AI infrastructure profile, while MiningLamp is more focused on enterprise marketing and operational data intelligence.

A useful global comparison is Palantir Technologies. Both companies sell enterprise data intelligence software and use AI to help large organizations apply data to operational decisions. The difference is market focus and monetization mix. Palantir is a global enterprise and government software platform company, while MiningLamp is a China-centered enterprise marketing and operations intelligence provider that is building an outcome-linked Agentic Services model on top of its software and data capabilities.

MiningLamp enters public markets with a narrow but identifiable position: a Chinese enterprise AI application company with a large existing Data Intelligence base, improving gross margin, and an early Agentic Services business. Its competitive challenge is to prove that outcome-based AI-agent delivery scales profitably while offsetting the planned decline of legacy industry-solutions revenue and competing against larger AI and marketing technology platforms.

MiningLamp

Performance in China

China is MiningLamp’s core market. In FY 2025, substantially all revenue from external customers came from Mainland China, and all non-current assets were located there. The company is headquartered in Beijing and serves Chinese enterprises through data-intelligence software, marketing-intelligence tools, operational-intelligence systems, AI agents, and outcome-linked Agentic Services. FY 2025 revenue was RMB 1.43 billion, up 3.2%, with Data Intelligence contributing RMB 1.26 billion and the new Agentic Services line contributing RMB 100.2 million. Local strategy centers on converting long-standing enterprise data and marketing workflows into AI-agent services priced around measurable outcomes. MiningLamp reported a 96.0% renewal rate among key-account clients, while more than 30% of new key accounts came through Agentic Services. Competitors include Chinese marketing SaaS and AI software vendors such as Marketingforce and broader enterprise AI players including SenseTime. No Q1 2026 financial report was available.

Growth and Future Prospects

MiningLamp entered public markets in November 2025 and its first post-listing annual results showed a business in transition rather than a high-growth software story. FY 2025 revenue rose 3.2% to RMB 1,425.8 million, while gross margin improved to 55.4% from 51.6%. Operating loss narrowed sharply to RMB 15.7 million, and non-HKFRS adjusted net profit turned positive at RMB 42.0 million. The reported net loss of RMB 6,412.7 million was dominated by fair value changes on preferred shares, warrants and convertible notes, so investors should separate accounting effects from operating trends.

Key growth drivers

  1. Agentic Services: The new outcome-linked business generated RMB 100.2 million in FY 2025, equal to 7.0% of revenue. Management has made replication of this model across more use cases a core 2026 priority, especially in content marketing, entertainment content and AI-led business process transformation.
  2. Data Intelligence base: Data Intelligence remains the core business at RMB 1,260.4 million, or 88.4% of FY 2025 revenue. Marketing intelligence contributed RMB 718.2 million and operational intelligence contributed RMB 542.2 million, giving MiningLamp a sizeable installed base for AI-agent upgrades.
  3. AI and automation efficiency: Broader use of internal AI tools helped reduce labor intensity in data processing and report delivery. DeepMiner Version 2 is central to this strategy, with management citing improved task planning, data ingestion and tool use.
  4. Product expansion: Upgraded conversational intelligence products, smart-store operating systems, DeepMiner, Cito, Mano and edge-side AI hardware such as the Lingting smart ID badge point to a broader enterprise AI product stack.
  5. Early geographic expansion: Substantially all 2025 revenue still came from Mainland China, but overseas initiatives such as the AdEff product launch in Singapore and Hong Kong strategic-enterprise positioning show early steps toward a wider market presence.

Challenges ahead

  1. Execution risk: Scaling Agentic Services is operationally complex because revenue is tied to measurable customer outcomes rather than only software delivery.
  2. Concentration risk: One customer group contributed RMB 250.0 million in FY 2025, more than 10% of total revenue.
  3. China exposure: Revenue and non-current assets are concentrated in Mainland China, leaving the company exposed to local enterprise spending, data rules, AI regulation and macro conditions.
  4. Business mix transition: The legacy industry-solutions line declined 49.0% in 2025 as MiningLamp phases out new projects, increasing reliance on Data Intelligence resilience and Agentic Services adoption.

MiningLamp’s outlook depends on whether it converts its AI-agent technology into repeatable, profitable service models. The company has a stronger margin profile than a year earlier, IPO proceeds to fund investment and a high 96.0% renewal rate among key-account clients. Growth is still modest, and public investors need evidence that Agentic Services scales beyond early adoption without adding excessive delivery cost.

This Company Profile was written by Dominik Diemer

Dominik Diemer blends an investor mindset with execution discipline.

He is a SAFe Program Consultant (SPC) and Lean Portfolio Management (LPM) practitioner at DMG MORI Digital, working as a SAFe Release Train Engineer and internal consultant in the Lean-Agile Center of Excellence (LACE).

His focus is prioritization, flow, and dependency management that turns strategy into outcomes. With experience across Bertelsmann and the Founders Foundation, he bridges corporate and startup thinking.

He also invests privately in private equity deals, sharpening his view on business models, value drivers, and go-to-market.

StockCounterParts reflects that lens.