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Application Specific Integrated Circuits (ASICs) Market to Reach USD 30.99 Billion by 2032, Growing at a CAGR of 6.43% | Credence Research Inc.

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PUNE, India, Jan. 21, 2025 /PRNewswire/ — Market Size Overview of Application Specific Integrated Circuits (ASICs)

The market for Application Specific Integrated Circuits (ASICs) is experiencing significant growth. Valued at USD 17,581.25 million in 2023, it is anticipated to reach USD 30,988.25 million by 2032. This growth reflects a compound annual growth rate (CAGR) of 6.43% from 2024 to 2032. ASICs continue to gain traction across diverse applications due to their efficiency, customization, and performance benefits, positioning the market for sustained expansion over the forecast period.

Market Drivers of Application Specific Integrated Circuits (ASICs)

The market for Application Specific Integrated Circuits (ASICs) is propelled by several influential drivers, primarily rooted in technological evolution and growing industry-specific demand. The customization and optimization capabilities of ASICs allow for high performance and efficiency, making them essential in applications requiring precision and speed.

Technological Advancements

Breakthroughs in semiconductor technology have significantly enhanced ASIC design and functionality. These developments enable reduced power consumption, higher processing speeds, and miniaturization, making ASICs ideal for compact electronic devices and advanced industrial equipment. For example, emerging nodes like 5 nm and 3 nm facilitate greater density and performance, supporting demanding applications like artificial intelligence (AI) and 5G networks. The transition to these advanced nodes has been driven by the need for improved power efficiency and performance, with 5 nm nodes offering up to 15% speed improvement and 30% power reduction compared to their predecessors.

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Growing Demand in Industry Applications

ASICs are pivotal in the rapid evolution of AI and machine learning. Their ability to perform specific tasks with high efficiency makes them indispensable in training AI models and real-time data processing. The global AI market, which heavily relies on ASICs, is projected to grow from $189.72 billion in 2023 to $1689.3 billion by 2032, reflecting a CAGR of 27.5%. Similarly, the automotive sector relies on ASICs for advanced driver-assistance systems (ADAS), autonomous driving, and electronic control units. The global adoption of electric vehicles (EVs) further underscores this trend, as ASICs play a crucial role in battery management and powertrain control systems. 

IoT and 5G Expansion

With the Internet of Things (IoT) growing at an unprecedented speed, ASICs ensure seamless connectivity and device functionality. The number of IoT devices worldwide is forecast to almost double from 15.9 billion in 2023 to more than 32.1 billion by 2030. Combined with the rollout of 5G, ASICs support ultra-reliable and low-latency communications, strengthening their market presence across telecommunications and consumer electronics. The 5G chipset market, which includes ASICs, is projected to grow from $39.03 billion in 2023 to $457.5 billion by 2032, exhibiting a CAGR of 35.9%.

Growth Opportunities in the Application Specific Integrated Circuits (ASICs) Market

The ASICs market presents substantial growth opportunities, particularly through innovations in AI, IoT, and 5G technologies. These technologies demand ASICs for their high efficiency and specialization. Businesses can leverage these opportunities by focusing on creating chips tailored for AI applications, such as neural network acceleration or real-time data analysis. The expansion of IoT devices requires low-power, high-performance ASICs for seamless connectivity across smart homes, industries, and wearables. Additionally, the global adoption of 5G networks invites investments in ASICs that optimize network infrastructure and mobile devices. Companies positioned to align their products with these trends will gain a competitive edge.

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Application Specific Integrated Circuits (ASICs) Market Segmentation 

Type of ASIC:Full Custom ASICsSemi-Custom ASICs (Standard Cell ASICs)Programmable ASICs (FPGA-based ASICs)Application:TelecommunicationsConsumer ElectronicsAutomotiveIndustrial AutomationMedical ElectronicsAerospace and DefenseData Centers and Cloud ComputingIoT (Internet of Things)Blockchain and CryptocurrencyAI (Artificial Intelligence) and Machine LearningBy RegionNorth AmericaUSCanadaMexicoEuropeGermanyFranceUK.ItalySpainRest of EuropeAsia PacificChinaJapanIndiaSouth KoreaSouth-east AsiaRest of Asia PacificLatin AmericaBrazilArgentinaRest of Latin AmericaMiddle East & AfricaGCC CountriesSouth AfricaRest of Middle East and Africa

Regional Analysis of the Application Specific Integrated Circuits (ASICs) Market

North America

North America holds a significant share of the ASICs market, driven by the robust presence of key semiconductor manufacturers and tech giants. High investments in R&D for AI, machine learning, and autonomous driving technologies propel demand. For instance, the U.S. government has implemented various initiatives to support AI and autonomous driving research. Additionally, the growing adoption of electric vehicles (EVs) and advancements in 5G infrastructure amplify the need for customized ASIC solutions in this region. The U.S. has nearly 50,000 EV charging stations, and significant investments are being made in 5G infrastructure.

Europe

Europe’s ASICs market growth is fueled by innovations in the automotive and industrial sectors. The strong focus on electric and autonomous vehicles drives ASIC deployment in ADAS and battery management systems. The European automotive industry, which employs over 14 million people and contributes about 7% to the region’s GDP, is a major driver of this demand. Industries aiming to modernize production processes with industrial automation also leverage ASICs for high precision and optimized performance. Europe is home to leading companies in analog, mixed-signal, and high-voltage ASIC design.

Asia-Pacific

Asia-Pacific dominates the ASICs market, attributable to its massive consumer electronics and semiconductor manufacturing hubs, particularly in China, South Korea, and Taiwan. China alone produces over 70% of the world’s smartphones. The region’s leadership in 5G deployment and the rapid expansion of IoT devices create substantial opportunities. Asia-Pacific countries are expected to add almost $130 billion to their economies through 5G by 2030. Growing EV adoption in countries like China and India further accelerates ASIC demand, particularly for energy-efficient designs. China is a global leader in EV production and adoption.

Other Regions

Regions such as Latin America, the Middle East, and Africa exhibit steady growth potential, driven by increasing telecommunications infrastructure and IoT adoption. The development of smart cities and digitization initiatives also open doors for ASIC manufacturers to tap into emerging markets.

Each region’s unique focus areas and demand drivers collectively shape the global ASICs market, fostering growth and innovation.

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Top Companies –

Broadcom Inc.STMicroelectronicsFaraday Technology CorporationComport DataFUJITSUInfineon Technologies AGIntel CorporationASIX ElectronicsOmniVision Technologies, Inc.Semiconductor Components Industries, LLCSeiko Epson CorporationDWIN TechnologySocionext America Inc.Tekmos Inc.Others

Latest Developments:

October 2024: OpenAI, an artificial intelligence company, partnered with Broadcom Inc., a provider of application-specific integrated circuits (ASICs), to develop an AI chip aimed at improving the efficiency of AI model inference.July 2024: STMicroelectronics launched the world’s largest cinema image sensor, specifically designed for large-scale cinema applications, underscoring its advancements in sensor technology and innovation in the imaging market.February 2024: Broadcom Inc. reported record revenue of USD 13,072 million for Q3 2024, a 47% year-over-year increase, driven by robust demand for AI-related products and innovations in 5G and networking.July 2023: Faraday Technology Corporation launched its SerDes total solution, featuring SerDes IP design on UMC 28nm and the corresponding IP Advanced (IPA) service. This solution is designed to accelerate customer integration.September 2023: Intel announced plans to create an ASIC accelerator to minimize performance overhead in Fully Homomorphic Encryption (FHE). The company also revealed its intention to release a beta version of an encrypted computing software toolkit for developers.September 2023: Infineon Technologies AG launched a new line of OptiMOS power MOSFETs to enhance efficiency and performance in power management applications.August 2022: Broadcom Inc. introduced the StrataXGS Tomahawk 5 switch series, offering 51.2 terabits per second of Ethernet ASIC switching capacity in a single, monolithic device.April 2022: Intel unveiled the Intel Blockscale ASIC, a result of extensive R&D. This ASIC provides efficient hashing for proof-of-work consensus networks.July 2022: Faraday Technology Corporation introduced its FPGA-Go-ASIC prototyping platform, enabling customers to accelerate circuit creation and verification processes, enhancing its ASIC design services.February 2022: MIT researchers developed an ASIC chip designed to defend IoT devices against power-based side-channel attacks. The chip employs threshold computing, splitting data into random components for secure processing.March 2021: Intel and the U.S. Defense Advanced Research Projects Agency (DARPA) initiated a three-year collaboration under the SAHARA project (Structured Array Hardware for Automatically Realized Applications) to advance domestically produced structured ASIC platforms with cutting-edge security countermeasures.February 2021: Renesas Electronics Corporation acquired Dialog Semiconductor Plc, a provider of power management, charging, AC/DC power conversion, and ASICs, in a deal valued at approximately USD 5 billion.June 2021: Taiwan-based IC design houses expressed optimism for increased shipments in Q3 2021 due to the rollout of 5G-enabled smartphones by Chinese brands. They anticipated over 10% sequential growth in order volumes, driven by higher quotes for 5G chips compared to 4G applications.

Reasons to Purchase this Report:

Gain a comprehensive understanding of the market through qualitative and quantitative analyses, considering both economic and non-economic factors, with segmentation and sub-segmentation details provided in terms of market value (USD Billion).Identify regions and segments expected to experience the fastest growth or dominate the market, with a detailed analysis of geographic consumption patterns and the factors driving or hindering market performance in each region.Stay informed about the competitive environment, with rankings of major players, recent product and service launches, partnerships, business expansions, and acquisitions from the past five years.Access detailed profiles of major market players, including company overviews, insights, product benchmarking, and SWOT analysis, to understand competitive advantages and market positioning.Explore the present and forecasted market landscape, with insights into growth opportunities, market drivers, challenges, and constraints for both developed and emerging regions.Benefit from Porter’s Five Forces analysis and Value Chain insights to evaluate various market perspectives and competitive dynamics.Understand the evolving market scenario, including potential growth opportunities and trends expected in the coming years.

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Technology

JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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July 24, 2026

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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July 24, 2026

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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July 24, 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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