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China Passenger Car ADAS Domain Controller Industry Report 2023: Master Chip Market Data and Supplier Research Report

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DUBLIN, Feb. 15, 2024 /PRNewswire/ — The “China Passenger Car ADAS Domain Controller,Master Chip Market Data and Supplier Research Report, 2023Q1” report has been added to ResearchAndMarkets.com’s offering.

Quarterly Report on ADAS Domain Controllers: L2+ and above ADAS Domain Controller Master Chip Market Structure

This report highlights the passenger car L2+ and above (including L2+, L2.5 and L2.9) ADAS domain controller market data, the ADAS domain controller master chip market data, the status quo and layout of major suppliers, the latest industry development trends, and the market size forecast for the next six quarters and the next five years.

In 2023Q1, the sales of passenger cars (excluding imported ones) equipped with L2+ and above autonomous driving functions hit 360,000 units in China, a like-on-like upsurge of 68.2%. These 360,000 L2+ and above cars carried a total of 656,000 ADAS master chips, of which: Tesla’s self-developed FSD chips swept 41.7%; Nvidia’s chips, most of which offer high computing power, were about 190,000 pieces, taking a 29.0% share.

According to expert interviews, this report also answers the following questions:

Currently what is the purchase price of a mainstream intelligent driving SoC and the domain controller based on this SoC?What are the advantages and disadvantages of the current mainstream ADAS SoCs?The average intelligent driving domain controller packs a functional safety chip. Examples include TC397 and TC497, and what is their respective approximate purchase price? Is there any Chinese product to replace the TC Family, and what is the approximate purchase price of the domestic product?Currently what is the proportion of the intelligent driving domain controller to the entire intelligent driving system (including sensor and decision systems and excluding the execution system)? What is the average proportion of the intelligent driving system to the cost of a vehicle?Tesla (as well as NIO, Huawei, etc.) insists on charging for the intelligent driving system, while the NOA system of Li Auto is free. Which one do you think represents the future trend?We see that there are still increasing high-compute chip companies trying to enter the intelligent driving chip market, such as Cambricon Singgo, Chipletgo (chiplet technology), Rhino, and Houmo.AI (the first computing in memory chip). Do you think they still have a market opportunity? If so, who do you prefer, and why?We have seen that leading high-compute chip companies like Qualcomm, Horizon Robotics and Nvidia have large software teams working on basic software and algorithms such as middleware, visual perception algorithm, driving and parking algorithms, and NOA algorithm, and they obviously squeeze the living space of conventional Tier 1 suppliers. ADAS Tier 1 suppliers also try to multiplex algorithms provided by mainstream chip companies in a bid to launch driving-parking integrated or NOA solutions as fast as they can. Will this blunt the competitive edges of ADAS Tier 1 suppliers?NIO, Xpeng and Li Auto independently develop intelligent driving domain controllers. Competitive OEMs like SAIC, Geely, Great Wall Motor, BYD and Chery all build their own autonomous driving team to self-develop intelligent driving domain controllers. Will this narrow the living space of Tier 1 suppliers engaged in intelligent driving domain controllers? How should intelligent driving Tier 1 suppliers respond?Which type of intelligent driving domain controller companies perform well at present, and what’s the reason? Please give an example.Which type of intelligent driving domain controller companies are unsuccessful in the business development, and what’s the reason? Please give an example.Some listed cockpit companies like ThunderSoft, Desay SV and Foryou have set up an autonomous driving department or branch, and also deploy cockpit-driving integration. What do you think of the intelligent driving domain controllers developed by them? Do you think they will gain an upper hand in the implementation of cockpit-driving integration?In the development of driving-parking integrated domain controllers (or cockpit-driving integrated domain controllers), OEMs split the task into two or more to suppliers, or some outsource it to one supplier. Which model do you prefer, and why?Single-chip driving-parking integrated domain controllers that can bring a lower cost are becoming an important direction. Do you think they can become mainstream, and why?Many driving-parking integrated domain controllers use the TDA4 and J3 combination. What is the purpose of this and what do they complement each other?Now cutting-edge autonomous driving companies have switched to BEV algorithms. What impact will it have on the design of autonomous driving domain controllers?It is said that quite a few start-ups have engineering difficulties in their driving-parking integrated domain controller projects. Although their products have been designated, they fail to achieve engineering implementation and mass production. What’s the main reason? Does this mean that ADAS companies without a Tier 1 background will face big challenges in OEM mass production even if they are proficient in algorithms? How to solve this problem?

Data Forecast and Trends

Trends and Dynamics

Current Purchase Prices of the Mainstream Intelligent Driving SoC and the Domain Controller Based on the SoCAdvantages and Disadvantages of Current Mainstream ADAS SoCsPurchase Price of Functional Safety Chips and Replacement of Foreign Products in ChinaMarket Opportunities for New High-compute ADAS Chip EntrantsWill the Living Space of Conventional ADAS Tier 1 Suppliers Be Squeezed by ADAS Chip Companies and OEMs?Which Type of ADAS Domain Controller Companies Perform WellWhich Type of ADAS Domain Controller Companies Fail to Develop the BusinessWhere Are the Opportunities for Listed Cockpit Companies to Deploy ADAS Domain ControllersThe Development Outsourcing Model for Driving-parking Integrated Domain Controllers (or Cockpit-driving Integrated Domain Controllers)What Impact BEV Algorithms Have on the Design of Autonomous Driving Domain ControllersEngineering Challenges Faced by Start-ups in Driving-parking Integrated Domain Controller Projects

Data Forecast

Sales of Above L2+ ADAS Domain Controllers, 2022Q1-2024Q4EInstallations of Masters Chips in Above L2+ Vehicle Models, 2022Q1-2024Q4EPenetration of L2+/L2.5/L2.9, 2022Q1-2024Q4ESales of Above L2+ ADAS Domain Controllers, 2021-2028EInstallations of Masters Chips in Above L2+ Vehicle Models, 2021-2028EPenetration of L2+/L2.5/L2.9, 2022-2028EAbove L2+ ADAS Domain Controller Market Size, 2021-2028EMarket Size of ADAS Master Chips for Above L2+ Vehicle Models, 2021-2028E

Companies Mentioned

Desay SVFreetechAptivHong Jing DriveVeoneeriMotionBoschZFJingwei HirainNvidiaMobileyeHorizon RoboticsTI

For more information about this report visit https://www.researchandmarkets.com/r/amy7vm

About ResearchAndMarkets.com

ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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U.S. Quartz Workers: Strong Safeguard Remedies Needed to Save 100,000 American Manufacturing Jobs

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WASHINGTON, July 23, 2026 /PRNewswire/ — The Quartz Manufacturers Alliance for America (QMAA) released a powerful video featuring quartz manufacturing workers from across the country calling for free and fair trade policies to save 100,000 American jobs. QMAA, a coalition of leading U.S.-based quartz slab manufacturers, are calling for strong safeguard remedies after the U.S. International Trade Commission (ITC) found a huge flood of foreign imports had caused tremendous injury to the domestic quartz industry.

QMAA members are urging the Trump Administration to build on the ITC’s strong recommendation and address this major flood of quartz imports with a Tariff of 50% and a Reshoring Import Cap of 141 million square feet on imported quartz surface products. This will ensure a reshoring of the good-paying U.S. quartz manufacturing jobs stolen by companies who cheat U.S. trade law, distort competition and are decimating U.S. quartz manufacturing. Together, these trade remedies will provide the relief necessary to save the 100,000 jobs supported by the U.S. quartz industry.

The video features workers from LX Hausys, Guidoni USA and Cambria Company and is available here:
Save 100,000 American Quartz Jobs

Quotes from QMAA Quartz Manufacturing Workers
“This facility used to be a Husqvarna plant. Husqvarna closed down due to cheap foreign imports. There were over 1,000 people working here and all of a sudden…I’m worried I may see the same thing take place again.”
-Raymond Mack, Production Operator, Guidoni USA, Helena-McRae, GA

“Foreign countries, mainly China, Thailand, Malaysia, Vietnam, Indonesia, have been circumventing and cheating the American market. We believe in the industry. We believe in the American working power. We just want to level the playing field, make it fair for everyone and everyone will benefit.”
– Daniel Vas de Melo SA, Business Development Manager, Guidoni USA, McRae-Helena, GA

“In order for us to continue to compete, we need a strong Tariff and Import Cap on imported quartz surfaces. That will ensure we can play on an even playing field. That’s all we’re asking for. I would hate to see cheap, imported quartz have a negative impact on families such as mine and the other families that we employ here.”
– Mike Morici, Vice President – LX Hausys, Adairsville, GA

“The surge of foreign imports has shocked the U.S. economy, and the market for surfaces. It’s taken prices down to unsustainably low levels for any domestic supplier. The result of that is we’re not producing as much as we should, we can’t hire as many people as we would like to, and we can’t grow our business in the way that we and our peers in the U.S. want to grow.”
– Andrew Eich, President and Chief Operating Officer, Cambria

“As these foreign imports flood the market, we lose the ability to create and sustain jobs that ensure good paying conditions for manufacturing workers. There will be over 100,000 jobs that have the strong potential to go away.”
– Jack Sundry, SVP Core and Lexus – Cambria, Southern Minnesota

Background
In September 2025, QMAA filed a Global Safeguard petition with the U.S. International Trade Commission (ITC) under Section 201 of the U.S. Trade Act of 1974. The ITC’s thorough investigation found serious injury to the domestic industry caused by a massive import surge designed to undercut American businesses. Quartz imports have surged by 78.3% within the past five years, leading to a nearly 20% decline in domestic production, factory closures and major job reductions.

A final safeguard decision from the United States Trade Representative is expected by Aug. 1, 2026.

About the Quartz Manufacturing Alliance for America:
QMAA is a coalition of U.S.-based, American quartz slab manufacturing factories, united with other industry leaders to support and strengthen the American quartz industry. QMAA is committed to ensuring a free and fair, competitive marketplace born of free enterprise that provides the opportunity to compete on a level playing field for American quartz slab manufacturing factories and their valued workers. We also believe this effort will have a positive impact throughout the entire quartz surfacing industry, including to the strong benefit of American stone fabrication shops and upstream suppliers of quartz minerals and resin. Learn more at: https://www.qmaa.org/

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SOURCE Quartz Manufacturing Alliance of America

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Databricks and Microsoft expand partnership to help enterprises bring business context to enterprise AI

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Databricks and Microsoft extend strategic partnership through the 2030s to scale enterprise AIDatabricks deepens its bet on Azure, growing its use of Azure Databricks to run its own core business operations and analytics, while both companies advance native integration across the Microsoft stack, including Databricks Genie and Microsoft 365Databricks increases its use of Microsoft Azure Cobalt to improve performance and efficiency

REDMOND, Wash. and SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Microsoft Corp. and Databricks on Wednesday announced an expansion of their decade-long strategic partnership, extending into the 2030s. Databricks will deepen its use of Azure Databricks to run core business operations and build its unified lakehouse, while leveraging Azure Cobalt, Microsoft’s next-generation Arm-based infrastructure, to improve performance and efficiency. Microsoft will also continue integrating Databricks Data and AI platform across its products, bringing capabilities like Genie, Databricks’ AI co-worker, directly into customer workflows. Together, the companies are helping enterprises build AI grounded in their own business context with the cost efficiency, control and choice needed to scale successfully.

Enterprises want AI that understands their customers, products, operations, metrics and business processes, all while running securely where work happens. Yet, most still struggle to connect AI to trusted business knowledge, govern models and agents consistently, and control costs. Microsoft and Databricks are helping customers close that gap: 

“For nearly a decade, Databricks and Microsoft have helped enterprises innovate with data and AI,” said Ali Ghodsi, Co‑Founder and CEO of Databricks. “Today, our partnership is stronger than ever. With Databricks Genie and Unity AI Gateway deeply integrated across Microsoft’s products, we’re helping enterprises unify their data and ground AI in business knowledge. This lets customers get the full benefits of agents and models while controlling costs and ensuring governance.”

“The next generation of AI will be defined by how effectively organizations turn their unique knowledge into intelligence,” said Judson Althoff, CEO, Microsoft Commercial Business. “Microsoft and Databricks are helping customers connect data, AI and business context to accelerate decision-making and drive measurable impact. With Databricks deepening its investment in Azure Databricks and Azure Cobalt-powered infrastructure, customers will benefit from greater performance, efficiency and scale for their most demanding workloads. Databricks’ decision to run its own core business operations on Azure Databricks also gives customers confidence in a platform proven at enterprise scale.”

Databricks runs core business operations on Azure Databricks 

As part of this latest deal, Databricks deepens its commitment to Azure, running its own core business operations and analytics on Azure Databricks, using the very platform it delivers to customers at scale.

Advancing performance with Azure Cobalt

Databricks will also expand its use of Azure Cobalt, Microsoft’s next-generation Arm-based infrastructure, to improve performance and efficiency for agentic and data-intensive workloads. Databricks currently uses Cobalt 100 and plans to adopt Cobalt 200, which delivers up to 50% better performance and includes memory encryption enabled by default.

Deep integrations for Databricks Genie and Unity AI Gateway with Microsoft product stack

By combining the Databricks Data + AI Platform with Azure’s global scale, customers can accelerate AI transformation while maintaining control and reliability. As a native Azure service, Azure Databricks makes its AI capabilities available directly within customers’ existing Microsoft environment, grounding and operating agents on enterprise data with Genie and Genie Ontology, and governing models, agents and cost through Unity AI Gateway. Deeply integrated across the Microsoft ecosystem spanning Microsoft Entra, Azure Data Lake Storage, Azure security, Microsoft OneLake, Power BI, Microsoft Purview, Microsoft Foundry, Power Platform, Microsoft 365, Teams and Copilot, these capabilities bring governed, real-time data and AI into business workflows, giving organizations the context, control, choice and cost efficiency needed to drive impact.

Continued investment is evident from our recent announcements with Databricks at Data + AI Summit in June.

Customer impact with Azure Databricks

The deepened collaboration strengthens support for joint customers running data, analytics and AI workloads on Azure Databricks, delivering improved performance, security, AI governance and enterprise readiness. Thousands of customers, including Banco Bradesco, the Cincinnati Reds, Electrolux, SMBC and Unilever, already use Azure Databricks to run critical workloads and scale AI with confidence.

Read more on the proven business value of the Databricks and Microsoft partnership on the Microsoft Azure blog.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including AT&T, Bayer, BMW Group, HSBC, T-Mobile, Unilever, and 70% of the Fortune 500 — rely on Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

About Microsoft

Microsoft (Nasdaq “MSFT” @microsoft) creates platforms and tools powered by AI to deliver innovative solutions that meet the evolving needs of our customers. The technology company is committed to making AI available broadly and doing so responsibly, with a mission to empower every person and every organization on the planet to achieve more.

 

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SOURCE Microsoft Corp.

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Harness and Kong Expand Strategic Partnership to Deliver Comprehensive API and AI Security

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Joint solution extends proven API gateway security to the AI era — with automated AI discovery and runtime AI protection

SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Harness, the AI Software Delivery Platform™ company, and Kong Inc., a leading developer of API and AI connectivity technologies, today announced an expansion of their strategic partnership to address the growing security challenges posed by AI-driven architectures, autonomous agents, and Model Context Protocol (MCP) deployments.

According to The State of AI-Native Application Security 2025 report, as enterprises race to deploy AI at scale, 62% have no visibility into where LLMs are in use across their environment, and 74% say AI sprawl will outpace API sprawl when it comes to risk — making embedded, infrastructure-level security more critical than ever. And companies are now deploying agents into their operations at an exponentially increasing rate, making it a necessity to protect the agents themselves and the systems interacting with those agents.

The two companies are extending their joint solution from Kong API Gateway to also include Kong AI Gateway, bringing Harness’s AI security intelligence directly into the AI infrastructure layer and enabling enterprises to discover, monitor, and protect every agent, AI asset, LLM-powered service, and MCP-connected workflow that traverses it.

A Proven Foundation: Harness and Kong API Gateway

Harness and Kong have been jointly trusted by enterprises to deliver best-in-class API security for years. The existing Harness and Kong API Gateway integration provides:

Comprehensive API traffic visibility and behavioral analysis across all Kong-managed servicesReal-time detection and blocking of API threats, including OWASP API Security Top 10 risks, credential stuffing attacks, and business logic abuseContinuous sensitive data tracking to identify PII exposure and regulatory riskZero-friction deployment alongside existing Kong configurations

This new offering of the AI Gateway solution applies the same level of security depth to AI infrastructure, ensuring that security teams are not left behind as their organizations adopt AI and agentic operations.

“Our partnership with Harness has given joint customers production-grade API security that works with the way they build, not against it,” said Ken Kim, Senior Vice President, Business Development at Kong Inc. “Extending to include Kong AI Gateway is a natural next step. The same enterprises are now moving AI into production through our gateway and need the same depth of visibility and control they’ve come to rely on for their APIs for all AI traffic types including LLM, MCP, and A2A. That’s exactly what this delivers and is crucial for organizations scaling in the agentic era.”

The New Frontier: Kong AI Gateway and Harness AI Security

As enterprises accelerate AI adoption, the attack surface has fundamentally shifted. AI agents, LLM-powered microservices, and MCP-enabled integrations introduce new vectors that traditional security tools were not designed to address. Unlike traditional software, AI agents are non-deterministic — the same agent can behave differently on consecutive runs, making it impossible to secure them the way you’d secure a static API. The new Harness and Kong AI Gateway integration directly tackles these challenges across two critical domains: AI discovery and AI protection.

AI Discovery
Harness automatically inventories every AI asset, API, MCP server, tool, prompt, and resource routed through Kong AI Gateway — providing security teams with a continuously updated catalog of their AI attack surface. No manual documentation. No blind spots.

AI Protection
Harness applies behavioral analysis and anomaly detection to AI traffic in real time, identifying prompt injection attacks, data exfiltration through AI responses, jailbreaking, malicious code in prompts, and other AI-specific threats. Enterprises gain the same depth of observability and protection for their agents and AI workloads that they already rely on for traditional APIs, with full prompt and response details available for incident investigation and inline policy enforcement through Kong AI Gateway.

“Shadow AI has become the defining security blind spot for enterprises today. Traditional tools were built for static code and predictable systems, not for adaptive AI models, agent-to-agent communication, and MCP-connected workflows that evolve continuously,” said Rahul Sood, GM of Application Security at Harness. “This integration of Harness AI Security with Kong puts security intelligence directly into the connectivity layer where AI traffic flows. Joint customers now have the visibility and control they need to move fast without losing sight of what’s happening across their AI infrastructure.”

Availability

The Harness and Kong API Gateway integration is generally available today for all joint customers. The Kong AI Gateway integration, including AI Discovery and AI Protection, is also generally available now. Joint customers can contact their account team or request a demo.

About Harness
Harness is the AI Software Delivery Platform™ company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI and the Software Delivery Knowledge Graph, the platform brings intelligent automation to every stage of the software delivery lifecycle after code — removing toil and freeing developers from manual, repetitive work. Companies like United Airlines, Morningstar, and Choice Hotels use Harness to accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Based in San Francisco, Harness is backed by Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.

About Kong

Kong Inc., a leading developer of API and AI connectivity technologies, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com.

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SOURCE Harness

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