Polaris Market Research & Consulting, Inc.

𝐄𝐯𝐞𝐫𝐲 𝐆𝐏𝐔 𝐜𝐥𝐮𝐬𝐭𝐞𝐫 𝐭𝐚𝐥𝐤𝐬 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐥𝐢𝐠𝐡𝐭. 𝐓𝐡𝐞𝐬𝐞 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐦𝐚𝐤𝐞 𝐭𝐡𝐞 𝐨𝐩𝐭𝐢𝐜𝐬.   Optical transceivers convert electrical signals into light and back again. They connect servers and switches, enabling high-speed data transfer across AI and cloud data centers.   As AI workloads expand, data centers need faster connections and greater bandwidth. The shift toward 400G and 800G transceivers is already shaping the market. The development of 1.6T solutions points to the next stage of optical connectivity. Silicon photonics and advanced optical technologies are also helping manufacturers address bandwidth and power demands.   𝟕 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐭𝐨 𝐤𝐧𝐨𝐰 𝐢𝐧 𝐭𝐡𝐞 𝐨𝐩𝐭𝐢𝐜𝐚𝐥 𝐭𝐫𝐚𝐧𝐬𝐜𝐞𝐢𝐯𝐞𝐫 𝐦𝐚𝐫𝐤𝐞𝐭: ▸Coherent Corp. ▸INNOLIGHT Technology ▸Eoptolink Technology Inc., Ltd. ▸Broadcom Inc. ▸Cisco Systems, Inc. ▸Lumentum Holdings Inc. ▸Marvell Technology, Inc.   𝐓𝐡𝐞 𝐦𝐚𝐫𝐤𝐞𝐭 𝐎𝐮𝐭𝐥𝐨𝐨𝐤 The global optical transceiver market was valued at USD 15.37 billion in 2025. Polaris Market Research projects it to reach USD 40.87 billion by 2034, growing at a CAGR of 11.48% from 2026 to 2034.   Which companies are shaping the future of optical connectivity?   Explore the competitive landscape, market forecasts, and company profiles in the full report. Access the report here: https://lnkd.in/deVghXQs   #opticaltransceivers #siliconphotonics #datacenter #ainetworking #polarismarketresearch #marketresearch

𝐎𝐫𝐠𝐚𝐧𝐢𝐜 𝐬𝐮𝐛𝐬𝐭𝐫𝐚𝐭𝐞𝐬 𝐚𝐫𝐞 𝐫𝐞𝐚𝐜𝐡𝐢𝐧𝐠 𝐭𝐡𝐞𝐢𝐫 𝐥𝐢𝐦𝐢𝐭𝐬. 𝐆𝐥𝐚𝐬𝐬 𝐜𝐨𝐮𝐥𝐝 𝐛𝐞 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐀𝐈 𝐜𝐡𝐢𝐩𝐬. As AI processors become more complex, advanced semiconductor packaging requires materials that support larger packages, finer connections, and better dimensional stability. Glass substrates are emerging as a potential alternative to traditional organic materials. Their flat surfaces and thermal stability offer advantages for next-generation chip packaging. In September 2023, Intel announced plans to introduce glass substrates for advanced packaging in the second half of this decade, highlighting their potential in future high-performance computing and AI applications. However, challenges such as brittleness, handling, manufacturing yield, and cost remain. 𝐓𝐡𝐞 𝐠𝐥𝐨𝐛𝐚𝐥 𝐠𝐥𝐚𝐬𝐬 𝐬𝐮𝐛𝐬𝐭𝐫𝐚𝐭𝐞 𝐦𝐚𝐫𝐤𝐞𝐭 𝐰𝐚𝐬 𝐯𝐚𝐥𝐮𝐞𝐝 𝐚𝐭 𝐔𝐒𝐃 𝟕.𝟔𝟑 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐢𝐧 𝟐𝟎𝟐𝟓 𝐚𝐧𝐝 𝐢𝐬 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐞𝐝 𝐭𝐨 𝐫𝐞𝐚𝐜𝐡 𝐔𝐒𝐃 𝟏𝟎.𝟓𝟒 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐛𝐲 𝟐𝟎𝟑𝟒, 𝐠𝐫𝐨𝐰𝐢𝐧𝐠 𝐚𝐭 𝐚 𝐂𝐀𝐆𝐑 𝐨𝐟 𝟑.𝟔𝟓% 𝐟𝐫𝐨𝐦 𝟐𝟎𝟐𝟔 𝐭𝐨 𝟐𝟎𝟑𝟒. Swipe through to explore the technology and market opportunity, then get the report sample from Polaris Market Research.  https://lnkd.in/dbaNyzZW #GlassSubstrate #AdvancedPackaging #Semiconductors #TGV #PolarisMarketResearch #MarketResearch

𝐃𝐢𝐝 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰? 𝐄𝐯𝐞𝐫𝐲 𝐀𝐈 𝐚𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫 𝐬𝐢𝐭𝐬 𝐨𝐧 𝐚 𝐬𝐮𝐛𝐬𝐭𝐫𝐚𝐭𝐞, 𝐚 𝐥𝐚𝐲𝐞𝐫 𝐭𝐡𝐚𝐭 𝐜𝐚𝐧 𝐛𝐞𝐜𝐨𝐦𝐞 𝐚 𝐬𝐮𝐩𝐩𝐥𝐲 𝐜𝐡𝐚𝐢𝐧 𝐜𝐨𝐧𝐬𝐭𝐫𝐚𝐢𝐧𝐭 𝐚𝐬 𝐜𝐡𝐢𝐩 𝐩𝐚𝐜𝐤𝐚𝐠𝐞𝐬 𝐠𝐫𝐨𝐰 𝐦𝐨𝐫𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱. IC substrates connect the silicon die to the printed circuit board. They carry electrical signals between the two and support the chip package. 𝐓𝐡𝐫𝐞𝐞 𝐭𝐡𝐢𝐧𝐠𝐬 𝐭𝐨 𝐤𝐧𝐨𝐰: ▸𝐅𝐂-𝐁𝐆𝐀 𝐯𝐬. 𝐅𝐂-𝐂𝐒𝐏: Different package formats suit different chip designs and performance needs. ▸𝐀𝐁𝐅 𝐯𝐬. 𝐁𝐓 𝐦𝐚𝐭𝐞𝐫𝐢𝐚𝐥𝐬: Material choice affects circuit density and substrate design. ▸𝐋𝐚𝐫𝐠𝐞𝐫 𝐩𝐚𝐜𝐤𝐚𝐠𝐞 𝐬𝐢𝐳𝐞𝐬: AI accelerators need more room for connections, which can add pressure to manufacturing capacity. The global advanced IC substrates market was valued at USD 10.63 billion in 2025 and is projected to reach USD 18.89 billion by 2034, at a CAGR of 6.60%. Is substrate supply on your 2027 risk register? 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐦𝐚𝐫𝐤𝐞𝐭 𝐨𝐮𝐭𝐥𝐨𝐨𝐤 𝐢𝐧 𝐭𝐡𝐞 𝐫𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/duDdMK8A #ICSubstrates #ABF #Semiconductors #AIChips #PolarisMarketResearch #MarketResearch

𝐂𝐡𝐢𝐩𝐥𝐞𝐭𝐬 𝐌𝐚𝐫𝐤𝐞𝐭 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝: 𝐇𝐨𝐰 𝐌𝐨𝐝𝐮𝐥𝐚𝐫 𝐒𝐢𝐥𝐢𝐜𝐨𝐧 𝐈𝐬 𝐑𝐞𝐰𝐫𝐢𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐂𝐡𝐢𝐩 𝐏𝐥𝐚𝐲𝐛𝐨𝐨𝐤 Moore’s Law didn’t end it got modular! 🔬 As semiconductor designs become more complex, chiplets are transforming how powerful processors are designed and manufactured. By combining smaller silicon dies into a single package, this modular approach offers greater design flexibility, improved manufacturing efficiency, and new possibilities for high-performance computing. 📊 𝐊𝐞𝐲 𝐌𝐚𝐫𝐤𝐞𝐭 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: 🔹 Market Size (2025): USD 46.98 Billion 🔹 Projected Market Size (2034): USD 346.69 Billion 🔹 CAGR (2026–2034): 24.87% 💡 From AI accelerators and data centers to advanced packaging technologies such as 2.5D and 3D integration, chiplets are opening new opportunities across the semiconductor industry. What role will chiplets play in the next generation of computing? Explore the latest market trends, growth drivers, key players, and future opportunities. 🔗 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐚𝐧𝐝 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐦𝐚𝐫𝐤𝐞𝐭 𝐫𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/dNyEdJgF #chiplets #semiconductors #advancedpackaging #ucie #polarismarketresearch #marketresearch AIComputing #ArtificialIntelligence #HighPerformanceComputing #DataCenters #Microprocessors #SiliconTechnology #3DPackaging #2Point5DPackaging #ICDesign #ChipDesign

𝐁𝐚𝐧𝐤𝐬 𝐬𝐩𝐞𝐧𝐭 𝐚 𝐝𝐞𝐜𝐚𝐝𝐞 𝐠𝐨𝐢𝐧𝐠 𝐝𝐢𝐠𝐢𝐭𝐚𝐥. 𝐓𝐡𝐞 𝐧𝐞𝐱𝐭 𝐝𝐞𝐜𝐚𝐝𝐞 𝐛𝐞𝐥𝐨𝐧𝐠𝐬 𝐭𝐨 𝐀𝐈 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐢𝐧𝐠. From detecting fraud to improving investment decisions, artificial intelligence is changing how financial institutions assess risk, serve customers, and manage operations. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐀𝐈 𝐢𝐧 𝐟𝐢𝐧𝐚𝐧𝐜𝐞? AI in finance uses machine learning, natural language processing (NLP), and AI agents to analyze financial data, support decisions, and automate tasks across banking, insurance, and capital markets. 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐟𝐢𝐯𝐞 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞𝐬: 🔍 𝐅𝐫𝐚𝐮𝐝 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧: Identifies unusual transaction patterns and helps flag suspicious activities. 💳 𝐂𝐫𝐞𝐝𝐢𝐭 𝐔𝐧𝐝𝐞𝐫𝐰𝐫𝐢𝐭𝐢𝐧𝐠: Analyzes financial data to support credit risk assessment and lending decisions. 🛡️ 𝐀𝐌𝐋/𝐊𝐘𝐂: Helps identify suspicious transactions, verify customer information, and support compliance checks. 📈 𝐖𝐞𝐚𝐥𝐭𝐡 𝐀𝐝𝐯𝐢𝐬𝐨𝐫𝐲: Supports portfolio analysis, investment research, and personalized financial recommendations. ⚙️ 𝐁𝐚𝐜𝐤-𝐎𝐟𝐟𝐢𝐜𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Automates document processing, reporting, and repetitive administrative tasks. 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐦𝐚𝐭𝐭𝐞𝐫𝐬, 𝐭𝐨𝐨. The EU AI Act classifies certain AI systems used to evaluate the creditworthiness of natural persons as high-risk. This makes risk management, transparency, and human oversight important considerations when deploying AI in financial services. 📊 𝐓𝐡𝐞 𝐦𝐚𝐫𝐤𝐞𝐭 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐢𝐬 𝐠𝐫𝐨𝐰𝐢𝐧𝐠. According to Polaris Market Research, the global AI in finance market was valued at USD 51.97 billion in 2025 and is projected to reach USD 798.79 billion by 2034, growing at a CAGR of 30.99% from 2026 to 2034. As adoption expands, financial institutions must balance innovation with responsible AI deployment, data security, and regulatory compliance. 𝗪𝗵𝗶𝗰𝗵 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲 𝗶𝘀 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗻𝗴 𝗥𝗢𝗜 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗶𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻 𝗳𝗶𝗿𝘀𝘁? Share your experience in the comments. 📩 𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐭𝐡𝐞 𝐫𝐞𝐩𝐨𝐫𝐭 𝐬𝐚𝐦𝐩𝐥𝐞: https://lnkd.in/dfTy-cDB #AIinFinance #FinTech #BankingAI #RegTech #PolarisMarketResearch #MarketResearch

𝐄𝐯𝐞𝐫𝐲 𝐀𝐈 𝐪𝐮𝐞𝐫𝐲 𝐡𝐚𝐬 𝐚𝐧 𝐞𝐧𝐞𝐫𝐠𝐲 𝐛𝐢𝐥𝐥. 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐞𝐫𝐞 𝐭𝐡𝐞 𝐩𝐨𝐰𝐞𝐫 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐠𝐨𝐞𝐬 𝐢𝐧𝐬𝐢𝐝𝐞 𝐚 𝐝𝐚𝐭𝐚 𝐜𝐞𝐧𝐭𝐞𝐫. ⚡ 𝐇𝐨𝐰 𝐝𝐨 𝐝𝐚𝐭𝐚 𝐜𝐞𝐧𝐭𝐞𝐫𝐬 𝐦𝐚𝐧𝐚𝐠𝐞 𝐩𝐨𝐰𝐞𝐫 𝐚𝐧𝐝 𝐞𝐧𝐞𝐫𝐠𝐲 𝐮𝐬𝐞? 𝐏𝐔𝐄 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝 Power Usage Effectiveness (PUE) measures how efficiently a data center uses energy. It is calculated by dividing total facility energy by IT equipment energy. A PUE of 1.0 is ideal, meaning all energy goes to IT equipment, with no additional energy used for cooling or other facility needs. 𝐖𝐡𝐞𝐫𝐞 𝐃𝐨𝐞𝐬 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐆𝐨? IT equipment consumes power to run servers, storage, and networking systems. Cooling systems remove the heat these devices generate, while conversion and distribution systems deliver electricity to the equipment. Managing all three helps reduce energy waste. 𝐓𝐨𝐨𝐥𝐬 𝐓𝐡𝐚𝐭 𝐌𝐚𝐧𝐚𝐠𝐞 𝐄𝐧𝐞𝐫𝐠𝐲 Data Center Infrastructure Management (DCIM) monitors facility performance and energy use. Electrical Power Monitoring Systems (EPMS) track electrical supply and distribution. Battery storage provides backup power, while on-site generation and microgrids help improve energy resilience and manage power demand. 𝐌𝐚𝐫𝐤𝐞𝐭 𝐆𝐫𝐨𝐰𝐭𝐡 📈 USD 40.47 billion (2026) → USD 107.06 billion (2034) CAGR: 12.9% (2026–2034) 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 Data Center Power and Energy Management Market | Polaris Market Research Save this post and get the full report via the link. https://lnkd.in/dUhwKgfa #DataCenter #EnergyManagement #PUE #Sustainability #PolarisMarketResearch #MarketResearch

𝐀𝐈 𝐃𝐚𝐭𝐚 𝐂𝐞𝐧𝐭𝐞𝐫 𝐒𝐰𝐢𝐭𝐜𝐡𝐠𝐞𝐚𝐫 𝐌𝐚𝐫𝐤𝐞𝐭: 𝐖𝐡𝐲 𝐏𝐨𝐰𝐞𝐫 𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐈𝐬 𝐭𝐡𝐞 𝐍𝐞𝐰 𝐁𝐨𝐭𝐭𝐥𝐞𝐧𝐞𝐜𝐤 ⚡ 𝐀𝐈 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐢𝐬 𝐞𝐱𝐩𝐚𝐧𝐝𝐢𝐧𝐠 𝐫𝐚𝐩𝐢𝐝𝐥𝐲, 𝐛𝐮𝐭 𝐢𝐬 𝐩𝐨𝐰𝐞𝐫 𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐤𝐞𝐞𝐩𝐢𝐧𝐠 𝐩𝐚𝐜𝐞? The AI revolution isn't just about GPUs, advanced processors, and computing power. Reliable electrical infrastructure is becoming equally critical to supporting next-generation AI data centers. 🚀 📊 According to Polaris Market Research, the global AI Data Center Switchgear Market was valued at USD 1.91 billion in 2025 and is projected to reach USD 9.02 billion by 2034, growing at a CAGR of 18.8% from 2026 to 2034. 🔹 𝐊𝐞𝐲 𝐌𝐚𝐫𝐤𝐞𝐭 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: ✅ Rising AI workloads are increasing demand for high-capacity power distribution systems. ✅ Medium-voltage switchgear accounted for 52.37% of market revenue in 2025. ✅ Smart and digital switchgear solutions are supporting improved monitoring, reliability, and operational efficiency. ✅ North America dominated the market with a 40.83% revenue share in 2025. ✅ Asia Pacific is projected to witness the fastest growth, registering a 20.73% CAGR. 💡 The Big Question: As AI data centers continue to scale, will power distribution infrastructure become the biggest challenge to future expansion? Discover the key growth drivers, emerging technologies, regional opportunities, and competitive landscape shaping this evolving market. 🔗 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐚𝐧𝐝 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐦𝐚𝐫𝐤𝐞𝐭 𝐨𝐮𝐭𝐥𝐨𝐨𝐤: https://lnkd.in/dQ6KRThN #AIDataCenterSwitchgearMarket #AIDataCenters #SwitchgearMarket #ArtificialIntelligence #DataCenterInfrastructure #PowerDistribution #ElectricalInfrastructure #SmartSwitchgear #DigitalSwitchgear #DataCenterPower #EnergyManagement #HyperscaleDataCenters #AIInfrastructure #MarketResearch #PolarisMarketResearch

𝟖𝟎𝟎 𝐕𝐃𝐂: 𝐏𝐨𝐰𝐞𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐌𝐞𝐠𝐚𝐰𝐚𝐭𝐭 𝐀𝐈 𝐑𝐚𝐜𝐤   54V racks were built for the cloud era. AI infrastructure is pushing power requirements much higher. A new approach is taking shape: 800 VDC data center power architecture. It distributes power at 800 volts of direct current. This reduces the current needed to deliver the same power. It can also reduce copper use and the number of conversion stages. 𝐖𝐡𝐲 𝐝𝐨𝐞𝐬 𝐭𝐡𝐢𝐬 𝐦𝐚𝐭𝐭𝐞𝐫? • 𝐇𝐢𝐠𝐡𝐞𝐫 𝐫𝐚𝐜𝐤 𝐩𝐨𝐰𝐞𝐫: AI systems are moving toward racks that can draw 1 MW or more. • 𝐋𝐞𝐬𝐬 𝐩𝐨𝐰𝐞𝐫 𝐜𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧: Fewer conversion stages can reduce energy losses across the power delivery system. • 𝐀 𝐜𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐦𝐚𝐫𝐤𝐞𝐭: The global 800 VDC data center power architecture market was valued at 𝗨𝗦𝗗 𝟭𝟲.𝟮𝟰 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝗶𝗻 𝟮𝟬𝟮𝟱. It is projected to reach USD 59.76 billion by 2034, at a 𝗖𝗔𝗚𝗥 𝗼𝗳 𝟭𝟱.𝟲%. NVIDIA announced its 800 VDC architecture in May 2025, with support for megawatt-scale AI racks planned from 2027. Safety, protection, and equipment readiness remain important considerations as the technology develops. How soon do you think 800 VDC will become standard in AI data centers? 𝐀𝐜𝐜𝐞𝐬𝐬 𝐭𝐡𝐞 𝐬𝐚𝐦𝐩𝐥𝐞 𝐭𝐨 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐦𝐚𝐫𝐤𝐞𝐭 𝐟𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐬 𝐚𝐧𝐝 𝐬𝐞𝐠𝐦𝐞𝐧𝐭-𝐥𝐞𝐯𝐞𝐥 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬: https://lnkd.in/dk-C5vup #datacenter #800vdc #aiinfrastructure #powerelectronics #polarismarketresearch #marketresearch

𝐀𝐭𝐭𝐚𝐜𝐤𝐞𝐫𝐬 𝐦𝐚𝐩 𝐲𝐨𝐮𝐫 𝐢𝐧𝐭𝐞𝐫𝐧𝐞𝐭-𝐟𝐚𝐜𝐢𝐧𝐠 𝐚𝐬𝐬𝐞𝐭𝐬 𝐛𝐞𝐟𝐨𝐫𝐞 𝐲𝐨𝐮 𝐝𝐨. 𝐓𝐡𝐞𝐬𝐞 𝟕 𝐯𝐞𝐧𝐝𝐨𝐫𝐬 𝐚𝐫𝐞 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐀𝐭𝐭𝐚𝐜𝐤 𝐒𝐮𝐫𝐟𝐚𝐜𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭. Attack Surface Management (ASM) continuously discovers, inventories, and prioritises an organisation’s internet-exposed assets to help security teams identify potential risks. 𝟕 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐚𝐭𝐭𝐚𝐜𝐤 𝐬𝐮𝐫𝐟𝐚𝐜𝐞 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬: ▸Palo Alto Networks (Cortex Xpanse): Discovers internet-facing assets and identifies exposure risks. ▸Microsoft (Defender EASM): Maps external assets to identify vulnerabilities. ▸CrowdStrike (Falcon Surface): Supports external attack surface visibility. ▸Tenable: Helps discover assets and assess exposure risks. ▸Rapid7: Combines asset discovery with vulnerability management. ▸Censys: Identifies exposed internet assets and services. ▸Google Cloud (Mandiant ASM): Helps discover external assets and assess threats. According to Polaris Market Research, the global attack surface management market was valued at USD 1.33 billion in 2025. It is projected to reach USD 14.68 billion by 2034, growing at a CAGR of 30.63% from 2026 to 2034. 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐓𝐡𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐑𝐞𝐩𝐨𝐫𝐭 𝐇𝐞𝐫𝐞: https://lnkd.in/d2RJvxkB As digital environments expand, ASM is becoming an important part of Continuous Threat Exposure Management (CTEM) programmes. These programmes help organisations continuously identify, prioritise, and reduce cyber exposure. Which ASM capability matters most to your organisation: asset discovery, risk prioritisation, or continuous monitoring? #AttackSurfaceManagement #CyberSecurity #EASM #CTEM #PolarisMarketResearch #MarketResearch

𝐘𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐢𝐬 𝐞𝐧𝐜𝐫𝐲𝐩𝐭𝐞𝐝 𝐚𝐭 𝐫𝐞𝐬𝐭 𝐚𝐧𝐝 𝐢𝐧 𝐭𝐫𝐚𝐧𝐬𝐢𝐭. 𝐁𝐮𝐭 𝐰𝐡𝐚𝐭 𝐚𝐛𝐨𝐮𝐭 𝐰𝐡𝐢𝐥𝐞 𝐢𝐭'𝐬 𝐛𝐞𝐢𝐧𝐠 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐝? Confidential computing protects data in use by processing it inside hardware-based Trusted Execution Environments (TEEs). It helps businesses secure sensitive AI workloads in the cloud while addressing data privacy and regulatory requirements. Vote now! We'll share the poll results and one key confidential computing market insight in the comments when the poll closes. 𝐑𝐞𝐚𝐝 𝐅𝐮𝐥𝐥 𝐑𝐞𝐩𝐨𝐫𝐭: https://lnkd.in/dVEGFefR #ConfidentialComputing #DataSecurity #CloudSecurity #ZeroTrust #PolarisMarketResearch #MarketResearch