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Processing in-Memory AI Chips Market Set to Skyrocket from $231M in 2025 to $44B by 2032 at 112.4% CAGR | Valuates Reports

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14 hours ago

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What is the Market Size of Processing in-Memory AI Chips?

BANGALORE, India, April 29, 2026 /PRNewswire/ — The global Processing in-memory AI Chips market was valued at USD 231 Million in 2025 and is anticipated to reach USD 44335 Million by 2032, at a CAGR of 112.4% from 2026 to 2032.

 

 

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What are the key factors driving the growth of the Processing in-Memory AI Chips Market?

The processing in-memory AI chips market is expanding due to growing pressures on compute architectures from data movement inefficiency, latency constraints, rising power sensitivity, and deployment cost control across AI workloads.Demand is shifting toward chip designs that minimize the distance between memory and computation, enabling faster inference execution and better throughput under constrained thermal and energy conditions.This trend is especially relevant for workloads where bandwidth pressure, response time, and local processing efficiency directly determine system value.The market benefits from broader interest in architectures supporting both edge and data center AI tasks, without full reliance on conventional processor-memory separation.These factors create a strong commercial foundation for processing in-memory adoption.

Source from Valuates Reports: https://reports.valuates.com/market-reports/QYRE-Auto-15O17238/global-processing-in-memory-ai-chips

TRENDS INFLUENCING THE GROWTH OF THE PROCESSING IN-MEMORY AI CHIPS MARKET:

DRAM-PIM is driving growth in the processing in-memory AI chips market by addressing one of the most persistent bottlenecks in AI computing, which is the heavy cost of transferring data between memory and logic. By embedding compute capability closer to high-capacity memory structures, DRAM-PIM improves efficiency in bandwidth-intensive inference and parallel data handling environments. This makes it highly relevant for larger models and workloads that require sustained access to large datasets with lower latency overhead. Its role in improving throughput while reducing external data shuttling is strengthening its position in advanced AI infrastructure, particularly where performance scaling must happen without proportionate increases in power draw or board-level complexity.

SRAM-PIM is supporting market growth by serving AI use cases that prioritize low latency, fast local access, and power-efficient computation in compact environments. Its architectural suitability for tightly coupled memory and processing enables faster execution of inference tasks where response speed is critical and repeated memory access patterns are concentrated. This makes SRAM-PIM especially attractive in edge AI systems, embedded intelligence platforms, and applications where energy budgets and footprint limitations are decisive purchase factors. As device-side intelligence becomes more valuable across industrial, consumer, and autonomous systems, SRAM-PIM is gaining traction as a practical route to delivering on-chip efficiency without the penalties associated with conventional memory-transfer-heavy architectures.

In-memory processing chips are driving the growth of the processing in-memory AI chips market by creating a more application-aligned hardware approach for modern AI inference. Their appeal lies in improving usable performance per watt, reducing system bottlenecks, and enabling more scalable deployment economics across both small and large computing power environments. These chips are increasingly viewed as a structural response to the limitations of traditional architectures in handling AI workloads efficiently. As buyers seek solutions that can balance throughput, heat, latency, and integration flexibility, in-memory processing chips are moving from niche experimentation toward broader commercial adoption, supporting a market that is increasingly defined by workload efficiency rather than raw compute expansion alone.

A major factor supporting the market is the growing need to reduce the cost of data movement inside AI systems. In conventional architectures, moving data back and forth between memory and processors consumes time, power, and system resources. Processing in-memory chips directly address this problem by bringing computation closer to stored data. This improves execution efficiency and makes the architecture attractive for inference-heavy environments where repetitive data access creates performance drag. As buyers increasingly evaluate compute systems based on usable efficiency rather than nominal processing strength, demand for architectures that minimize data transport overhead continues to strengthen the market.

Power efficiency is emerging as a decisive growth factor for the processing in-memory AI chips market. AI deployment is no longer limited to environments where power availability is secondary. Enterprises, edge operators, and embedded system developers now require hardware that can support meaningful intelligence under tight energy and thermal budgets. Processing in-memory designs improve energy utilization by reducing unnecessary memory access traffic and enabling more efficient task execution. This gives them strong relevance in a market where lower operating cost, thermal manageability, and sustained performance matter as much as raw computational output, especially across continuously running inference systems and distributed AI infrastructure.

The expansion of edge AI is supporting market growth by increasing demand for chips that can perform inference closer to the source of data. Edge systems need fast decision-making, low energy consumption, and compact integration, all of which align well with processing in-memory designs. As intelligence moves into cameras, sensors, industrial devices, and smart endpoints, conventional architectures often face efficiency tradeoffs that reduce suitability in such environments. Processing in-memory chips help overcome these limitations by supporting local computation with lower latency and reduced data transfer dependency. This makes the technology increasingly relevant as edge intelligence shifts from optional capability to essential product differentiation.

The growing complexity of AI inference workloads is creating favorable conditions for processing in-memory adoption. As models become more memory-intensive and inference demand spreads across commercial applications, the limitations of traditional compute-memory separation become harder to ignore. Buyers are looking for architectures that can handle repeated memory access more efficiently and sustain performance under real deployment conditions. Processing in-memory chips respond to this need by improving memory interaction efficiency, which is particularly valuable in workloads where bandwidth and latency determine real-world usefulness. This shift is helping the market as hardware decisions become increasingly shaped by inference practicality rather than theoretical compute scale.

The market is also benefiting from a growing emphasis on cost-per-inference rather than simple peak performance comparisons. Buyers increasingly want AI hardware that can deliver consistent workload execution with better efficiency, lower supporting infrastructure requirements, and more practical deployment economics. Processing in-memory chips are well positioned in this context because they help reduce some of the overhead traditionally associated with memory bottlenecks, energy consumption, and system complexity. Their value proposition becomes stronger when purchasing decisions are based on long-term operating efficiency and scalable deployment. This cost discipline is pushing interest toward architectures that offer more balanced performance across real commercial use cases.

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What are the major product types in the Processing in-memory AI Chips Market?

DRAM-PIMSRAM-PIM

What are the main applications of the Processing in-memory AI Chips Market?

Near-Memory Computing (PNM) ChipIn-Memory Processing (PIM) ChipIn-Memory Computing (CIM) Chip

Key Players in the Processing in-memory AI Chips Market:

MyhticSyntiantD-MatrixHangzhou Zhicun (Witmem) TechnologyBeijing Pingxin TechnologyAistarTekSAMSUNGSK HynixShenzhen Reexen TechnologyGraphcoreAxelera AISuzhou Yizhu Intelligent TechnologyBeijing Houmo TechnologyEnCharge AI

Which region dominates the Processing in-memory AI chips market?

Asia-Pacific remains the most dynamic region due to its deep semiconductor ecosystem, expanding edge device manufacturing base, strong memory technology orientation, and increasing integration of AI into consumer and industrial electronics. China is supporting market formation through locally aligned compute architecture development, while South Korea, Japan, and Taiwan provide supply-side depth through memory and advanced chip ecosystem capabilities. Other regions are adopting more gradually, mainly through selective edge AI and infrastructure modernization use cases.

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What are some related markets to the Processing in-memory ai chips market?

Computing in Memory Technology Market was valued at USD 268 Million in the year 2024 and is projected to reach a revised size of USD 175260 Million by 2031, growing at a CAGR of 154.7% during the forecast period.In-memory Computing Chips for AI market was valued at USD 231 Million in 2025 and is anticipated to reach USD 44335 Million by 2032, at a CAGR of 112.4% from 2026 to 2032.HTAP-Enabling In-Memory Computing Technologies MarketIMDG (In-Memory Data Grid) Software Market Research ReportEmbedded Ai Chips Market Research ReportUltra-low Power AI Chips Market Research ReportHigh-Bandwidth Memory Chips Market was valued at USD 3816 Million in the year 2024 and is projected to reach a revised size of USD 139450 Million by 2031, growing at a CAGR of 68.2% during the forecast period.LPDDR Chips Market was valued at USD 6891 Million in the year 2024 and is projected to reach a revised size of USD 10870 Million by 2031, growing at a CAGR of 6.8% during the forecast period.Semiconductor Memory Market was valued at USD 125890 Million in the year 2024 and is projected to reach a revised size of USD 232900 Million by 2031, growing at a CAGR of 9.3% during the forecast period.AI Calculus Chips Market was valued at USD 46520 Million in the year 2024 and is projected to reach a revised size of USD 269300 Million by 2031, growing at a CAGR of 25.1% during the forecast period.Military Chips Market was valued at USD 1168 Million in the year 2024 and is projected to reach a revised size of USD 1583 Million by 2031, growing at a CAGR of 4.5% during the forecast period.

DISCOVER OUR VISION: VISIT ABOUT US!

Valuates offers in-depth market insights into various industries. Our extensive report repository is constantly updated to meet your changing industry analysis needs.

Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that’s why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs.

To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.

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Technology

Meridian Singapore Immigration Launches New Website to Simplify the PR Application Journey for Foreigners in Singapore

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5 hours ago

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April 30, 2026

By

New online platform provides clear, structured guidance for Employment Pass and S Pass holders navigating Singapore’s residency and Permanent Residency pathways

SINGAPORE, April 30, 2026 /PRNewswire/ — Meridian Singapore Immigration Pte. Ltd. has officially launched its new website at meridianimmigration.sg, a resource built specifically for foreigners living and working in Singapore who are exploring Permanent Residency or long-term residency options.

The platform arrives at a time when Singapore’s expatriate and foreign professional community is growing rapidly, yet many EP and S Pass holders report struggling to find clear, reliable information on the PR application process. Singapore’s immigration framework is among the most structured in Southeast Asia, with eligibility criteria, documentation requirements, and submission windows that change frequently. For individuals navigating this process without professional guidance, the stakes are high and the margin for error is narrow.

Meridian’s website was built to address that gap directly. The platform offers detailed explanations of available immigration pathways, structured consultation options, and educational resources developed by the firm’s team of immigration specialists. Rather than presenting a services catalogue, the site walks users through the considerations relevant to their specific situation, whether they hold an Employment Pass, S Pass, or are planning for their family’s long-term residency in Singapore.

“We built this platform because we saw how overwhelming and confusing the immigration process can be for people who genuinely want to build their lives here,” said a spokesperson for Meridian Singapore Immigration. “Our goal is to be the trusted partner that walks them through every step with clarity and integrity.”

Singapore’s continued attractiveness as a regional hub for multinational corporations, financial institutions, and technology firms means the pipeline of foreigners seeking long-term residency options remains substantial. At the same time, the ICA’s PR application framework has grown more nuanced, with factors such as economic contributions, family ties, and community integration weighed during assessment. Applicants who proceed without a clear understanding of these criteria often submit applications that are either premature or structurally incomplete.

Meridian’s approach centres on preparation and transparency, helping applicants understand where they stand before they apply and what supporting documentation strengthens their case.

Meridian Singapore Immigration Pte. Ltd. is a professional immigration consultancy dedicated to guiding individuals and families through Singapore’s immigration process. Specialising in Permanent Residency (PR) applications, residency pathways, and compliance support, Meridian offers clear, structured solutions tailored to each client’s unique circumstances. Founded on the values of Guidance, Integrity, and Success, Meridian is committed to making immigration simple, transparent, and accessible for everyone. For more information, visit meridianimmigration.sg or contact info@meridianimmigration.sg / +65 8873 1113.

 

View original content:https://www.prnewswire.com/apac/news-releases/meridian-singapore-immigration-launches-new-website-to-simplify-the-pr-application-journey-for-foreigners-in-singapore-302757392.html

SOURCE Meridian Singapore Immigration Pte. Ltd.

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Technology

Socomec, Daitron team up to meet Japan’s growing power demands

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5 hours ago

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April 30, 2026

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TOKYO, April 30, 2026 /PRNewswire/ — Socomec, a century-old electrical group specialising in mission-critical energy, and Japan’s Daitron, an electronics components distributor, have signed a partnership to deliver power conversion solutions and service backup power and electrical-switching systems across Japan.

The deal combines Socomec’s equipment with Daitron’s on-the-ground engineering team, which has more than 74 years of experience in the Japanese market. The two companies will handle everything from project delivery to ongoing maintenance and spare parts.

The partnership covers three product areas: uninterruptible power supplies (UPS), which keep facilities running during outages; power conversion systems, which ensure the availability and continuity of high-quality energy; and static transfer switches, which automatically reroute power loads between sources without interruption.

Beyond equipment sales, the agreement includes training, spare parts, long-term service contracts and a full range of expert services covering prevention, measurement and analysis, consultancy, deployment and optimisation. Socomec will provide product and technical training to Daitron’s team, while Daitron handles installation, servicing and day-to-day client support in Japan.

The target market spans data centres, semiconductor plants, industrial facilities, hospitals and green buildings, all areas where even brief power interruptions can prove costly. Data center demand in particular is surging, driven by the rapid expansion of artificial intelligence infrastructure, with colocation and enterprise facilities among the primary targets.

“Daitron knows the Japanese market inside and out. They have the people, the relationships, and the hands-on experience, and we bring the technology to match,” said Socomec Asia-Pacific CEO O’Niel Dissanayake. “It’s a natural fit, and together we can offer something neither company could deliver alone.”

“Japan’s data centres, chip factories and industrial plants all require power systems they can count on,” said Masaharu Kato, corporate officer of Daitron. “Socomec’s technology is exactly what these customers need, and our job is to make sure it’s installed, maintained and supported properly. That’s what we do best.”

The partnership comes as Japan faces a step change in power demand. Electricity consumption is expected to grow 5.3% over the next decade, driven by data centres and semiconductor factories, according to the country’s grid operator. Industrial energy demand alone is forecast to rise 18.3% over the same period.

That growth is creating strong demand for reliable power infrastructure. Data centres, for example, run around the clock and cannot afford downtime, making backup power and efficient energy management essential. Socomec’s systems are designed to reduce power consumption without sacrificing reliability, a balance that is becoming increasingly important as operators look to manage both costs and environmental commitments.

Both companies say project planning and bids are already underway, with a long-term goal of expanding the partnership’s reach across Japan as demand grows.

About Daitron

Daitron Co., Ltd. is a Japanese engineering and trading company founded in 1952 and headquartered in Osaka. Listed on the Tokyo Stock Exchange (TYO: 7609), Daitron sells and manufactures electronic components, semiconductor processing equipment and power supply systems. The company has more than seven decades of experience serving Japan’s electronics and manufacturing industries.

SOCOMEC: When energy matters

Founded in 1922, SOCOMEC is an independent industrial group of more than 4,800 experts spread across the world in 30 subsidiaries. Our vocation: design, manufacture and sale of electrical equipment, with a strong expertize in critical power applications. In 2025, SOCOMEC achieved a turnover of 997 million euros (not yet audited).

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SOURCE Socomec

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Technology

Multi-Destination Travel Surges Across Asia-Pacific This Labour Day, Trip.com Group Data Shows

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5 hours ago

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April 30, 2026

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Multi-city travel across Asia-Pacific grew 35% year-on-yearMulti-city travel outpaces single-destination growth by more than 2xSoutheast Asia sees strong double-digit growth, with Thailand up to 52% YoY

SINGAPORE, April 29, 2026 /CNW/ — Multi-city travel across Asia-Pacific grew 35% year-on-year this Labour Day period, according to data from Trip.com Group. Several Asia-Pacific markets including Japan, South Korea, parts of Southeast Asia and Mainland China celebrate Labour Day, driving strong cross-border and domestic travel flows across the region.

Over 30% of international trips now span multiple destinations, highlighting a continued shift towards more complex, itinerary-led travel. This shift reflects a growing preference to maximise time and value with multiple destinations within a single trip rather than a single location.

Multi-destination trips become a defining travel pattern

While single-destination travel continues to account for most bookings, growth is increasingly driven by more complex itineraries. Multi-destination bookings are growing at more than twice the pace of single-destination travel, reflecting stronger demand for flexibility and deeper exploration.

Travellers are increasingly structuring trips across multiple cities to maximise both time and value, with popular combinations including:

Tokyo – Osaka – Kyoto (Japan)Seoul – Busan (South Korea)Bangkok – Phuket (Thailand)

These itineraries reflect a growing preference for multi-stop journeys that blend urban experiences with leisure destinations.

Southeast Asia sees fast growth in multi-destination travel 

Across Southeast Asia, demand for multi-destination travel is rising steadily, with strong growth across key markets of Thailand: 52%, Malaysia: 40%, and Singapore: 17%, according to Trip.com Group data.

Top outbound destinations across Southeast Asian markets include Japan (Tokyo, Osaka), South Korea (Seoul), China (Shanghai, Beijing), Thailand (Bangkok), Indonesia (Bali).

In other parts of Asia such as Hong Kong SAR, multi-destination travel also grew by over 50% year-on-year, highlighting growing preference for more complex itineraries over traditional single-destination trips, particularly in well-connected urban markets.

In Mainland China, domestic travel remains a strong base, while overseas journeys are increasingly shaped by multi-destination itineraries, with over 40% of outbound trips spanning multiple destinations and continuing to grow.

This suggests that travellers in this region are increasingly combining multiple cities within a single trip, supported by strong regional connectivity.

Japan’s domestic travel momentum on the rise

Japan is also seeing shifts in domestic travel behaviour, even as outbound demand continues to grow.

In Japan, domestic travel is growing rapidly, indicating rising interest in travelling within the country, accounting for one-quarter of all flight bookings, and to cities such as Tokyo, Sapporo and Okinawa.

Intra-Asia travel dominates Labour Day demand

The Labour Day holiday period continues to be driven by regional travel within Asia-Pacific, with travellers favouring destinations that offer ease of access, diverse experiences, and flexible itineraries.

The Group’s data highlights the continued strength of short-haul travel, supported by strong connectivity and shorter flight durations.

More broadly, the way people travel across Asia-Pacific is evolving. Travellers taking a more deliberate approach to how they plan their trips. While cross-border journeys are increasingly shaped by multi-city itineraries, domestic travel remains a strong and steady part of the landscape. Together, these patterns point to a more flexible and value-conscious mindset, as travellers look to make the most of both time and budget.

About Trip.com Group

Trip.com Group is a leading global travel service provider comprising of Trip.com, Ctrip, Skyscanner, and Qunar. Across its platforms, Trip.com Group helps travellers around the world make informed and cost-effective bookings for travel products and services and enables partners to connect their offerings with users through the aggregation of comprehensive travel-related content and resources, and an advanced transaction platform consisting of apps, websites and 24/7 customer service centres. Founded in 1999 and listed on NASDAQ in 2003 and HKEX in 2021, Trip.com Group has become one of the best-known travel groups in the world, with the mission “to pursue the perfect trip for a better world”. Find out more about Trip.com Group here: group.trip.com.

Follow us on: X, Facebook, LinkedIn, and YouTube.

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SOURCE Trip.com Group

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Processing in-Memory AI Chips Market Set to Skyrocket from $231M in 2025 to $44B by 2032 at 112.4% CAGR | Valuates Reports

Published

14 hours ago

on

What is the Market Size of Processing in-Memory AI Chips?

BANGALORE, India, April 29, 2026 /PRNewswire/ — The global Processing in-memory AI Chips market was valued at USD 231 Million in 2025 and is anticipated to reach USD 44335 Million by 2032, at a CAGR of 112.4% from 2026 to 2032.

 

 

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What are the key factors driving the growth of the Processing in-Memory AI Chips Market?

The processing in-memory AI chips market is expanding due to growing pressures on compute architectures from data movement inefficiency, latency constraints, rising power sensitivity, and deployment cost control across AI workloads.Demand is shifting toward chip designs that minimize the distance between memory and computation, enabling faster inference execution and better throughput under constrained thermal and energy conditions.This trend is especially relevant for workloads where bandwidth pressure, response time, and local processing efficiency directly determine system value.The market benefits from broader interest in architectures supporting both edge and data center AI tasks, without full reliance on conventional processor-memory separation.These factors create a strong commercial foundation for processing in-memory adoption.

Source from Valuates Reports: https://reports.valuates.com/market-reports/QYRE-Auto-15O17238/global-processing-in-memory-ai-chips

TRENDS INFLUENCING THE GROWTH OF THE PROCESSING IN-MEMORY AI CHIPS MARKET:

DRAM-PIM is driving growth in the processing in-memory AI chips market by addressing one of the most persistent bottlenecks in AI computing, which is the heavy cost of transferring data between memory and logic. By embedding compute capability closer to high-capacity memory structures, DRAM-PIM improves efficiency in bandwidth-intensive inference and parallel data handling environments. This makes it highly relevant for larger models and workloads that require sustained access to large datasets with lower latency overhead. Its role in improving throughput while reducing external data shuttling is strengthening its position in advanced AI infrastructure, particularly where performance scaling must happen without proportionate increases in power draw or board-level complexity.

SRAM-PIM is supporting market growth by serving AI use cases that prioritize low latency, fast local access, and power-efficient computation in compact environments. Its architectural suitability for tightly coupled memory and processing enables faster execution of inference tasks where response speed is critical and repeated memory access patterns are concentrated. This makes SRAM-PIM especially attractive in edge AI systems, embedded intelligence platforms, and applications where energy budgets and footprint limitations are decisive purchase factors. As device-side intelligence becomes more valuable across industrial, consumer, and autonomous systems, SRAM-PIM is gaining traction as a practical route to delivering on-chip efficiency without the penalties associated with conventional memory-transfer-heavy architectures.

In-memory processing chips are driving the growth of the processing in-memory AI chips market by creating a more application-aligned hardware approach for modern AI inference. Their appeal lies in improving usable performance per watt, reducing system bottlenecks, and enabling more scalable deployment economics across both small and large computing power environments. These chips are increasingly viewed as a structural response to the limitations of traditional architectures in handling AI workloads efficiently. As buyers seek solutions that can balance throughput, heat, latency, and integration flexibility, in-memory processing chips are moving from niche experimentation toward broader commercial adoption, supporting a market that is increasingly defined by workload efficiency rather than raw compute expansion alone.

A major factor supporting the market is the growing need to reduce the cost of data movement inside AI systems. In conventional architectures, moving data back and forth between memory and processors consumes time, power, and system resources. Processing in-memory chips directly address this problem by bringing computation closer to stored data. This improves execution efficiency and makes the architecture attractive for inference-heavy environments where repetitive data access creates performance drag. As buyers increasingly evaluate compute systems based on usable efficiency rather than nominal processing strength, demand for architectures that minimize data transport overhead continues to strengthen the market.

Power efficiency is emerging as a decisive growth factor for the processing in-memory AI chips market. AI deployment is no longer limited to environments where power availability is secondary. Enterprises, edge operators, and embedded system developers now require hardware that can support meaningful intelligence under tight energy and thermal budgets. Processing in-memory designs improve energy utilization by reducing unnecessary memory access traffic and enabling more efficient task execution. This gives them strong relevance in a market where lower operating cost, thermal manageability, and sustained performance matter as much as raw computational output, especially across continuously running inference systems and distributed AI infrastructure.

The expansion of edge AI is supporting market growth by increasing demand for chips that can perform inference closer to the source of data. Edge systems need fast decision-making, low energy consumption, and compact integration, all of which align well with processing in-memory designs. As intelligence moves into cameras, sensors, industrial devices, and smart endpoints, conventional architectures often face efficiency tradeoffs that reduce suitability in such environments. Processing in-memory chips help overcome these limitations by supporting local computation with lower latency and reduced data transfer dependency. This makes the technology increasingly relevant as edge intelligence shifts from optional capability to essential product differentiation.

The growing complexity of AI inference workloads is creating favorable conditions for processing in-memory adoption. As models become more memory-intensive and inference demand spreads across commercial applications, the limitations of traditional compute-memory separation become harder to ignore. Buyers are looking for architectures that can handle repeated memory access more efficiently and sustain performance under real deployment conditions. Processing in-memory chips respond to this need by improving memory interaction efficiency, which is particularly valuable in workloads where bandwidth and latency determine real-world usefulness. This shift is helping the market as hardware decisions become increasingly shaped by inference practicality rather than theoretical compute scale.

The market is also benefiting from a growing emphasis on cost-per-inference rather than simple peak performance comparisons. Buyers increasingly want AI hardware that can deliver consistent workload execution with better efficiency, lower supporting infrastructure requirements, and more practical deployment economics. Processing in-memory chips are well positioned in this context because they help reduce some of the overhead traditionally associated with memory bottlenecks, energy consumption, and system complexity. Their value proposition becomes stronger when purchasing decisions are based on long-term operating efficiency and scalable deployment. This cost discipline is pushing interest toward architectures that offer more balanced performance across real commercial use cases.

Claim Yours Now! https://reports.valuates.com/api/directpaytoken?rcode=QYRE-Auto-15O17238&lic=single-user

What are the major product types in the Processing in-memory AI Chips Market?

DRAM-PIMSRAM-PIM

What are the main applications of the Processing in-memory AI Chips Market?

Near-Memory Computing (PNM) ChipIn-Memory Processing (PIM) ChipIn-Memory Computing (CIM) Chip

Key Players in the Processing in-memory AI Chips Market:

MyhticSyntiantD-MatrixHangzhou Zhicun (Witmem) TechnologyBeijing Pingxin TechnologyAistarTekSAMSUNGSK HynixShenzhen Reexen TechnologyGraphcoreAxelera AISuzhou Yizhu Intelligent TechnologyBeijing Houmo TechnologyEnCharge AI

Which region dominates the Processing in-memory AI chips market?

Asia-Pacific remains the most dynamic region due to its deep semiconductor ecosystem, expanding edge device manufacturing base, strong memory technology orientation, and increasing integration of AI into consumer and industrial electronics. China is supporting market formation through locally aligned compute architecture development, while South Korea, Japan, and Taiwan provide supply-side depth through memory and advanced chip ecosystem capabilities. Other regions are adopting more gradually, mainly through selective edge AI and infrastructure modernization use cases.

Purchase Regional Report: https://reports.valuates.com/request/regional/QYRE-Auto-15O17238/Global_Processing_in_memory_AI_Chips_Market_Research_Report_2024

SUBSCRIPTION

We have introduced a tailor-made subscription for our customers. Please leave a note in the Comment Section to know about our subscription plans.

What are some related markets to the Processing in-memory ai chips market?

Computing in Memory Technology Market was valued at USD 268 Million in the year 2024 and is projected to reach a revised size of USD 175260 Million by 2031, growing at a CAGR of 154.7% during the forecast period.In-memory Computing Chips for AI market was valued at USD 231 Million in 2025 and is anticipated to reach USD 44335 Million by 2032, at a CAGR of 112.4% from 2026 to 2032.HTAP-Enabling In-Memory Computing Technologies MarketIMDG (In-Memory Data Grid) Software Market Research ReportEmbedded Ai Chips Market Research ReportUltra-low Power AI Chips Market Research ReportHigh-Bandwidth Memory Chips Market was valued at USD 3816 Million in the year 2024 and is projected to reach a revised size of USD 139450 Million by 2031, growing at a CAGR of 68.2% during the forecast period.LPDDR Chips Market was valued at USD 6891 Million in the year 2024 and is projected to reach a revised size of USD 10870 Million by 2031, growing at a CAGR of 6.8% during the forecast period.Semiconductor Memory Market was valued at USD 125890 Million in the year 2024 and is projected to reach a revised size of USD 232900 Million by 2031, growing at a CAGR of 9.3% during the forecast period.AI Calculus Chips Market was valued at USD 46520 Million in the year 2024 and is projected to reach a revised size of USD 269300 Million by 2031, growing at a CAGR of 25.1% during the forecast period.Military Chips Market was valued at USD 1168 Million in the year 2024 and is projected to reach a revised size of USD 1583 Million by 2031, growing at a CAGR of 4.5% during the forecast period.

DISCOVER OUR VISION: VISIT ABOUT US!

Valuates offers in-depth market insights into various industries. Our extensive report repository is constantly updated to meet your changing industry analysis needs.

Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that’s why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs.

To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.

Contact Us
Valuates Reports
sales@valuates.com
For U.S. Toll-Free Call 1-(315)-215-3225
WhatsApp: +91-9945648335
Explore our blogs & channels:
Blog: https://valuatestrends.blogspot.com/
Pinterest: https://in.pinterest.com/valuatesreports/
Twitter: https://twitter.com/valuatesreports
Facebook: https://www.facebook.com/valuatesreports/
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Technology

Meridian Singapore Immigration Launches New Website to Simplify the PR Application Journey for Foreigners in Singapore

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April 30, 2026

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New online platform provides clear, structured guidance for Employment Pass and S Pass holders navigating Singapore’s residency and Permanent Residency pathways

SINGAPORE, April 30, 2026 /PRNewswire/ — Meridian Singapore Immigration Pte. Ltd. has officially launched its new website at meridianimmigration.sg, a resource built specifically for foreigners living and working in Singapore who are exploring Permanent Residency or long-term residency options.

The platform arrives at a time when Singapore’s expatriate and foreign professional community is growing rapidly, yet many EP and S Pass holders report struggling to find clear, reliable information on the PR application process. Singapore’s immigration framework is among the most structured in Southeast Asia, with eligibility criteria, documentation requirements, and submission windows that change frequently. For individuals navigating this process without professional guidance, the stakes are high and the margin for error is narrow.

Meridian’s website was built to address that gap directly. The platform offers detailed explanations of available immigration pathways, structured consultation options, and educational resources developed by the firm’s team of immigration specialists. Rather than presenting a services catalogue, the site walks users through the considerations relevant to their specific situation, whether they hold an Employment Pass, S Pass, or are planning for their family’s long-term residency in Singapore.

“We built this platform because we saw how overwhelming and confusing the immigration process can be for people who genuinely want to build their lives here,” said a spokesperson for Meridian Singapore Immigration. “Our goal is to be the trusted partner that walks them through every step with clarity and integrity.”

Singapore’s continued attractiveness as a regional hub for multinational corporations, financial institutions, and technology firms means the pipeline of foreigners seeking long-term residency options remains substantial. At the same time, the ICA’s PR application framework has grown more nuanced, with factors such as economic contributions, family ties, and community integration weighed during assessment. Applicants who proceed without a clear understanding of these criteria often submit applications that are either premature or structurally incomplete.

Meridian’s approach centres on preparation and transparency, helping applicants understand where they stand before they apply and what supporting documentation strengthens their case.

Meridian Singapore Immigration Pte. Ltd. is a professional immigration consultancy dedicated to guiding individuals and families through Singapore’s immigration process. Specialising in Permanent Residency (PR) applications, residency pathways, and compliance support, Meridian offers clear, structured solutions tailored to each client’s unique circumstances. Founded on the values of Guidance, Integrity, and Success, Meridian is committed to making immigration simple, transparent, and accessible for everyone. For more information, visit meridianimmigration.sg or contact info@meridianimmigration.sg / +65 8873 1113.

 

View original content:https://www.prnewswire.com/apac/news-releases/meridian-singapore-immigration-launches-new-website-to-simplify-the-pr-application-journey-for-foreigners-in-singapore-302757392.html

SOURCE Meridian Singapore Immigration Pte. Ltd.

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Technology

Socomec, Daitron team up to meet Japan’s growing power demands

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April 30, 2026

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TOKYO, April 30, 2026 /PRNewswire/ — Socomec, a century-old electrical group specialising in mission-critical energy, and Japan’s Daitron, an electronics components distributor, have signed a partnership to deliver power conversion solutions and service backup power and electrical-switching systems across Japan.

The deal combines Socomec’s equipment with Daitron’s on-the-ground engineering team, which has more than 74 years of experience in the Japanese market. The two companies will handle everything from project delivery to ongoing maintenance and spare parts.

The partnership covers three product areas: uninterruptible power supplies (UPS), which keep facilities running during outages; power conversion systems, which ensure the availability and continuity of high-quality energy; and static transfer switches, which automatically reroute power loads between sources without interruption.

Beyond equipment sales, the agreement includes training, spare parts, long-term service contracts and a full range of expert services covering prevention, measurement and analysis, consultancy, deployment and optimisation. Socomec will provide product and technical training to Daitron’s team, while Daitron handles installation, servicing and day-to-day client support in Japan.

The target market spans data centres, semiconductor plants, industrial facilities, hospitals and green buildings, all areas where even brief power interruptions can prove costly. Data center demand in particular is surging, driven by the rapid expansion of artificial intelligence infrastructure, with colocation and enterprise facilities among the primary targets.

“Daitron knows the Japanese market inside and out. They have the people, the relationships, and the hands-on experience, and we bring the technology to match,” said Socomec Asia-Pacific CEO O’Niel Dissanayake. “It’s a natural fit, and together we can offer something neither company could deliver alone.”

“Japan’s data centres, chip factories and industrial plants all require power systems they can count on,” said Masaharu Kato, corporate officer of Daitron. “Socomec’s technology is exactly what these customers need, and our job is to make sure it’s installed, maintained and supported properly. That’s what we do best.”

The partnership comes as Japan faces a step change in power demand. Electricity consumption is expected to grow 5.3% over the next decade, driven by data centres and semiconductor factories, according to the country’s grid operator. Industrial energy demand alone is forecast to rise 18.3% over the same period.

That growth is creating strong demand for reliable power infrastructure. Data centres, for example, run around the clock and cannot afford downtime, making backup power and efficient energy management essential. Socomec’s systems are designed to reduce power consumption without sacrificing reliability, a balance that is becoming increasingly important as operators look to manage both costs and environmental commitments.

Both companies say project planning and bids are already underway, with a long-term goal of expanding the partnership’s reach across Japan as demand grows.

About Daitron

Daitron Co., Ltd. is a Japanese engineering and trading company founded in 1952 and headquartered in Osaka. Listed on the Tokyo Stock Exchange (TYO: 7609), Daitron sells and manufactures electronic components, semiconductor processing equipment and power supply systems. The company has more than seven decades of experience serving Japan’s electronics and manufacturing industries.

SOCOMEC: When energy matters

Founded in 1922, SOCOMEC is an independent industrial group of more than 4,800 experts spread across the world in 30 subsidiaries. Our vocation: design, manufacture and sale of electrical equipment, with a strong expertize in critical power applications. In 2025, SOCOMEC achieved a turnover of 997 million euros (not yet audited).

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SOURCE Socomec

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Technology

Multi-Destination Travel Surges Across Asia-Pacific This Labour Day, Trip.com Group Data Shows

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April 30, 2026

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Multi-city travel across Asia-Pacific grew 35% year-on-yearMulti-city travel outpaces single-destination growth by more than 2xSoutheast Asia sees strong double-digit growth, with Thailand up to 52% YoY

SINGAPORE, April 29, 2026 /CNW/ — Multi-city travel across Asia-Pacific grew 35% year-on-year this Labour Day period, according to data from Trip.com Group. Several Asia-Pacific markets including Japan, South Korea, parts of Southeast Asia and Mainland China celebrate Labour Day, driving strong cross-border and domestic travel flows across the region.

Over 30% of international trips now span multiple destinations, highlighting a continued shift towards more complex, itinerary-led travel. This shift reflects a growing preference to maximise time and value with multiple destinations within a single trip rather than a single location.

Multi-destination trips become a defining travel pattern

While single-destination travel continues to account for most bookings, growth is increasingly driven by more complex itineraries. Multi-destination bookings are growing at more than twice the pace of single-destination travel, reflecting stronger demand for flexibility and deeper exploration.

Travellers are increasingly structuring trips across multiple cities to maximise both time and value, with popular combinations including:

Tokyo – Osaka – Kyoto (Japan)Seoul – Busan (South Korea)Bangkok – Phuket (Thailand)

These itineraries reflect a growing preference for multi-stop journeys that blend urban experiences with leisure destinations.

Southeast Asia sees fast growth in multi-destination travel 

Across Southeast Asia, demand for multi-destination travel is rising steadily, with strong growth across key markets of Thailand: 52%, Malaysia: 40%, and Singapore: 17%, according to Trip.com Group data.

Top outbound destinations across Southeast Asian markets include Japan (Tokyo, Osaka), South Korea (Seoul), China (Shanghai, Beijing), Thailand (Bangkok), Indonesia (Bali).

In other parts of Asia such as Hong Kong SAR, multi-destination travel also grew by over 50% year-on-year, highlighting growing preference for more complex itineraries over traditional single-destination trips, particularly in well-connected urban markets.

In Mainland China, domestic travel remains a strong base, while overseas journeys are increasingly shaped by multi-destination itineraries, with over 40% of outbound trips spanning multiple destinations and continuing to grow.

This suggests that travellers in this region are increasingly combining multiple cities within a single trip, supported by strong regional connectivity.

Japan’s domestic travel momentum on the rise

Japan is also seeing shifts in domestic travel behaviour, even as outbound demand continues to grow.

In Japan, domestic travel is growing rapidly, indicating rising interest in travelling within the country, accounting for one-quarter of all flight bookings, and to cities such as Tokyo, Sapporo and Okinawa.

Intra-Asia travel dominates Labour Day demand

The Labour Day holiday period continues to be driven by regional travel within Asia-Pacific, with travellers favouring destinations that offer ease of access, diverse experiences, and flexible itineraries.

The Group’s data highlights the continued strength of short-haul travel, supported by strong connectivity and shorter flight durations.

More broadly, the way people travel across Asia-Pacific is evolving. Travellers taking a more deliberate approach to how they plan their trips. While cross-border journeys are increasingly shaped by multi-city itineraries, domestic travel remains a strong and steady part of the landscape. Together, these patterns point to a more flexible and value-conscious mindset, as travellers look to make the most of both time and budget.

About Trip.com Group

Trip.com Group is a leading global travel service provider comprising of Trip.com, Ctrip, Skyscanner, and Qunar. Across its platforms, Trip.com Group helps travellers around the world make informed and cost-effective bookings for travel products and services and enables partners to connect their offerings with users through the aggregation of comprehensive travel-related content and resources, and an advanced transaction platform consisting of apps, websites and 24/7 customer service centres. Founded in 1999 and listed on NASDAQ in 2003 and HKEX in 2021, Trip.com Group has become one of the best-known travel groups in the world, with the mission “to pursue the perfect trip for a better world”. Find out more about Trip.com Group here: group.trip.com.

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SOURCE Trip.com Group

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