DELRAY BEACH, Fla., Nov. 2, 2026 /PRNewswire/ — According to MarketsandMarkets™, the Self-Driving Cars Market is projected to grow from 31,509 thousand units in 2026 and to reach 51,213 thousand units in 2035, at a Compound Annual Growth Rate (CAGR) of 5.5% during the forecast period.

Browse 250 market data Tables and 75 Figures spread through 300 Pages and in-depth TOC on ‘Self-Driving Cars Market’

Self-Driving Cars Market Size & Forecast:

Market Size Available for Years: 2022-20352026 Market Size: 31,509 thousand Units2035 Projected Market Size: 51,213 thousand UnitsCAGR (2026–2035): 5.5%

Self-driving Cars Market Trends & Insights:

Personal mobility is estimated to hold the largest share during the forecast period.The Level 3 segment is to witness the fastest growth in the self-driving cars market during the forecast period.North America is expected to grow significantly during the forecast period.

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Self-driving cars are progressing from controlled testing toward commercial deployment, supported by advances in AI, computing architecture, and vehicle automation. The commercial operation of Level 4 robotaxis in multiple cities is accelerating investment in autonomous driving technologies, including perception, sensor fusion, decision-making software, and high-performance computing. These developments are also influencing passenger vehicle programs, where automakers are expanding Level 2+ driver assistance and developing new off-driving capabilities. Over the next few years, progress in AI models, simulation-based validation, and sensor integration is expected to improve system performance and support the wider deployment of automated driving across vehicle segments. Volkswagen is developing localized AI driving solutions in China through its CARIZON joint venture with Horizon Robotics, aligning its technology strategy with local market requirements. These strategies reflect a broader shift toward controlling software development, computing costs, and system integration. The competitive advantage will depend on how effectively automakers scale validated driving functions across vehicle portfolios, improve affordability, and meet regional regulatory requirements without compromising safety performance.

Hyundai Motor Group Builds an AI Data Strategy to Accelerate Self-driving Technology

In September 2026, Hyundai Motor Group activated its Data Flywheel strategy, linking real-world driving data collection, AI training, simulation, validation, and software deployment. The group is targeting NVIDIA-based Level 2+ production vehicles in the first half of 2028 and Level 2++ vehicles in the second half of 2028, followed by proprietary Atria AI-powered Level 2++ vehicles in the second half of 2029.Hyundai’s two-track strategy allows it to deploy technology developed with NVIDIA while continuing to develop its own end-to-end Atria AI system through 42dot. By standardizing sensor systems across Hyundai, Kia and its technology subsidiaries, the group aims to improve data consistency and software reuse across vehicle platforms. This approach can reduce duplicated development efforts and accelerate the identification of difficult driving scenarios, although the commercial advantage will depend on translating larger data volumes into measurable safety and performance improvements.

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Personal mobility is estimated to hold the largest share during the forecast period.

Personal mobility is emerging as a commercial opportunity in the self-driving cars market, as OEMs focus on making automated driving a practical feature that improves convenience and strengthens premium vehicle differentiation. According to China’s Ministry of Industry and Information Technology, 69.15% of passenger cars sold in January and February 2026 had Level 2 driving assistance, up 10 percentage points year on year. The US National Highway Traffic Safety Administration (NHTSA) added pass or fail assessments for advanced driver assistance systems to its New Car Assessment Program, encouraging automakers to improve safety features that protect drivers and pedestrians. The near-term opportunity lies in expanding assisted driving capabilities across urban roads and highways, while improving the reliability of AI-based perception, navigation, and decision-making. In January 2026, Mercedes-Benz presented MB. DRIVE ASSIST PRO on the new CLA, combining navigation with Level 2 driving assistance for supported urban journeys, with the system already available in China and a US launch planned for later in 2026. The development highlights how OEMs are leveraging automated driving capabilities to enhance the vehicle ownership experience and create opportunities for software-based feature upgrades. For automakers, the competitive advantage depends on delivering reliable automation across more vehicle models and price points, turning driving convenience into a stronger purchase incentive.

The Level 3 segment is to witness the fastest growth in the self-driving cars market during the forecast period.

The Level 3 segment is expected to be the fastest-growing segment in the self-driving cars market as automakers move beyond Level 2 driver assistance toward conditional automation. Adoption remains concentrated in specific driving conditions because Level 3 systems must operate within defined conditions and transfer control back to the driver when required. For instance, in December 2025, China approved its first two Level 3 passenger car models from Changan Automobile and BAIC’s ARCFOX brand. The Changan model was approved for operation during highway traffic congestion at speeds of up to 50 km/h on designated roads in Chongqing, while the ARCFOX model was permitted to operate at speeds of up to 80 km/h on designated roads in Beijing. These restricted approvals show that Level 3 deployment is progressing through controlled operating conditions rather than unrestricted use. Automakers that align system capabilities with approved road conditions and reliable driver handover requirements will be better positioned to expand Level 3 passenger car offerings.

North America is expected to grow significantly during the forecast period.

North America is strengthening its position in the self-driving cars market as automakers expand AI-based driving assistance and autonomous mobility programs. A key focus is extending automation to complex urban environments while maintaining driver supervision in passenger vehicles. In May 2026, Stellantis partnered with Wayve to integrate Wayve’s AI Driver into its STLA Auto Drive platform, targeting supervised, hands-free driving across urban and highway routes, with North American deployment planned from 2028. In a separate development, Volkswagen Group’s MOIA America partnered with Uber to introduce autonomous ID. Buzz vehicles in Los Angeles, with on-road testing and plans to launch ride-hailing services by the end of 2026. The two initiatives highlight distinct development paths in the region: integrating AI-powered driving capabilities into passenger vehicle platforms and deploying autonomous electric vehicles for commercial mobility services. Progress will depend on system validation, regulatory approvals, operational safety, and the ability to handle diverse traffic conditions.

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Top Companies in Self-Driving Cars Market:

The Top Companies in Self-Driving Cars Market are Toyota Motor Corporation (Japan), Volkswagen Group (Germany), BYD Co., Ltd. (China), Stellantis (Netherlands), and Hyundai Motor Group (South Korea).

Self-driving Cars Market – Investment and Funding Scenario

Investment Funding Context

The global self-driving cars market is projected to reach 51,213 thousand units by 2033, from 31,509 thousand units in 2026, at a CAGR of 5.5% during 2026–2035. Growth will be supported by AI-based perception, sensor fusion, and software-defined vehicle architecture. Automakers should prioritize scalable automation platforms, cost optimization, and software integration to strengthen competitiveness and capture future demand.

Revenue Shift Context

Revenue in the global self-driving cars market is shifting toward higher-value ADAS hardware, AI-powered driving software, and advanced perception systems, including cameras, radar, LiDAR, and high-performance computing platforms. Growing adoption of Level 2 and Level 2+ systems is driving demand for sensor fusion, driver monitoring, and hands-free driving capabilities. Additional revenue opportunities are emerging from software licensing, over-the-air upgrades, and technology partnerships. For instance, in February 2026, Waymo raised USD 16 billion to expand its autonomous ride-hailing operations and accelerate technology development. This investment highlights growing capital allocation toward scalable AI-driven autonomy and commercial deployment. Consequently, market value creation is increasingly driven by advanced technology content per vehicle, software monetization, and autonomous mobility services rather than vehicle volumes alone.

Mergers and Acquisitions

From September 2025 to September 2026, eight notable strategic transactions involving major self-driving cars market players were identified, including partnerships, funding rounds, technology agreements, and collaborations. The transactions mainly focused on autonomous driving software development, AI-powered vehicle systems, robotaxi expansion, advanced sensor technologies, and commercialization of self-driving solutions.

SELF-DRIVING CARS MARKET: MERGERS AND ACQUISITIONS, SEPTEMBER 2025 – SEPTEMBER 2026

Company Revenue Share Details

The top five players are estimated to account for approximately 41%–46% of the self-driving cars market, indicating a moderately concentrated competitive landscape with strong competition among established automotive manufacturers. Leading players such as Toyota Motor Corporation (Japan), Volkswagen AG (Germany), BYD Company Limited (China), Stellantis N.V. (Netherlands), and Hyundai Motor Company (South Korea) are expanding their autonomous driving capabilities across passenger vehicle platforms. Their strategies include ADAS integration, AI-powered driving software, sensor fusion, automated driving platforms, and partnerships with autonomous technology providers to enhance vehicle safety, improve driving automation, and accelerate commercialization across global markets.

Browse Adjacent Market: Automotive and Transportation Market Research Reports & Consulting

Related Reports:

Autonomous Driving Software Market

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19 years of predictive research, backed by a nine-year real-world investment record returning 235.19%

SAN FRANCISCO, Nov. 2, 2026 /PRNewswire/ — Q-Ball Intelligence today announces its launch as a new AI-native Predictive Intelligence venture, building on nearly two decades of research and practical applications dating back to 2007.

The company is developing a new generation of artificial intelligence capable of identifying emerging signals, recognising patterns and anticipating future developments moving beyond analysing what has happened to understanding what is likely to happen next.

The research behind Q-Ball has already been applied in practice. Between 17 February 2016 and 17 February 2025, a Q-Ball-informed investment portfolio delivered a cumulative return of 235.19%.

For comparison, the portfolio analysis shows returns of 129.86% for OMX Stockholm All-Share Gross Index (OMXSGI), representing the broader Swedish equity market, and 106.55% for OMX Stockholm 30 Index (OMXS30) over the same period. This represents an outperformance of 105.33 and 128.64 percentage points respectively.

The nine-year investment record provides a tangible example of the practical application of predictive research developed under the leadership of Assistant Professor Peter Majanen. It represents an actual investment portfolio record rather than a simulated backtest.

From analysing information to anticipating change

Most analytical systems are designed to process information, identify historical trends and explain developments that have already taken place.

Q-Ball is pursuing a different objective: recognising the signals and changing expectations that may reveal what comes next.

Its predictive methodology connects information, expectations, emerging patterns and momentum with potential catalysts and future outcomes. The objective is to translate complex information into structured, measurable forecasts.

The underlying research originated in 2007 and has evolved through nearly two decades of development and practical application. Q-Ball Intelligence represents the next stage: transforming this foundation into a scalable technology platform designed for international markets.

Building a new Predictive Intelligence platform

Q-Ball is developing an AI-native platform designed to identify relevant signals, assess emerging developments, generate structured forecasts and measure predictions against actual outcomes.

The company’s approach places particular emphasis on understanding changes in expectations and behaviour, rather than relying exclusively on historical data and conventional trend analysis.

By combining predictive methodology with AI-driven analysis, Q-Ball aims to create technology that helps organisations and individuals anticipate change, assess opportunities and make better-informed decisions.

An important part of the development philosophy is accountability: predictions should be structured, time-stamped and evaluated against what actually happens. This creates a foundation for continuous measurement, refinement and learning.

Applications across multiple markets

Q-Ball Intelligence is developing its technology for institutional and commercial customers, with additional applications across financial markets, sports and gaming.

Initial areas of focus include:

Enterprise Predictive Intelligence helping organisations anticipate market developments, changing conditions, emerging risks and strategic opportunities.

Financial Markets developing predictive intelligence for equities and financial markets, identifying emerging patterns and assessing the probability of potential market developments.

Sports and Gaming applying predictive models to sporting outcomes, competitive environments and gaming-related markets.

The company is building these applications on a shared predictive foundation, extending its core intelligence capabilities across different markets and customer segments.

A new chapter for predictive intelligence

“Prediction is not about knowing the future. It is about understanding the present well enough to recognize what the future is beginning to become,” says Peter Majanen, Founder and Chief Predictive Intelligence Architect.

Q-Ball Intelligence aims to establish Predictive Intelligence as a distinct category within the evolving AI landscape moving beyond systems that primarily describe the world towards technology designed to anticipate how it may change.

With research foundations dating back to 2007, the company now enters a new phase focused on technology development, commercialisation and international expansion.

Q-Ball Intelligence Predicting What Comes Next.

About Q-Ball Intelligence

Q-Ball Intelligence is an AI-native Predictive Intelligence venture developing technology designed to identify emerging signals, recognise patterns and anticipate future developments.

Its foundations combine predictive research, proprietary analytical methodology and practical applications developed since 2007. The company is focused on transforming this foundation into a scalable predictive intelligence platform for institutional, commercial and consumer applications.

Website: www.qballintel.com

Press contact:
Richard Sjoberg
Q-Ball Intelligence
press@qballintel.com
www.qballintel.com

Historical performance disclosure: The portfolio return of 235.19% relates to the period 17 February 2016 to 17 February 2025. Benchmark figures are based on Avanza data for OMX Stockholm All-Share Gross Index (OMXSGI) and OMX Stockholm 30 Index (OMXS30) over the same period. Historical performance is not indicative of future results. The historical portfolio performance should not be interpreted as performance generated by the new Q-Ball Intelligence platform or as a guarantee of future investment outcomes.

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SOURCE Q-Ball Intelligence

AMITYVILLE, N.Y., Nov. 2, 2026 /PRNewswire/ — NAPCO Security Technologies, Inc. (NASDAQ: NSSC), one of the leading manufacturers and designers of high-tech electronic security equipment, wireless communication devices for intrusion and fire alarm systems and the related recurring service revenues as well as a provider of school safety solutions, today announced financial results for its first quarter of fiscal year 2027.  Results are reported in accordance with U.S. generally accepted accounting principles (“GAAP”) and are also reported adjusting for certain items (“Non-GAAP”). A reconciliation between GAAP and Non-GAAP operating results is provided at the end of this press release.  

First Quarter 2027 Financial Results as Compared to First Quarter 2026

Net revenue increased 1.7% to a First Quarter record $50.0 millionRecurring service revenue (“RSR”) increased 11.5% to a Quarterly record $26.1 million, with over 90% gross marginRSR has a prospective annual run rate of approximately $106 million based on October 2026 recurring service revenuesEquipment revenue decreased 7.3% to $23.9 millionGross profit margin increased to 58.7.% vs 56.6% in prior fiscal year quarterNet Income increased 6.9% YoY to a First Quarter record $13.0 millionDiluted Net Income per share increased 5.9% to $0.36Non-GAAP Adjusted EBITDA increased 3.8% to a First Quarter record $15.5 million with an Adjusted EBITDA Margin of 31.0%, compared to $14.9 million with an Adjusted EBITDA Margin of 30.4% in the prior fiscal year quarterThe board declared a quarterly dividend of $.17 per share, payable on January 4, 2027, to shareholders of record on December 14, 2026.

Kevin Buchel, CEO and President, commented, “Our Fiscal Q1 performance reflects continued positive financial results. We achieved record Q1 revenue of $50.0 million and record Q1 Adjusted EBITDA of $15.5 million, which was bolstered by our recurring service revenue. Our RSR continues to deliver gross margins of over 90% and has a prospective run rate of approximately $106 million, a $3 million increase from the run rate we reported in July 2026. While equipment revenue declined year-over-year, the decrease was driven by two locking distributors reducing their purchases during the quarter. Importantly, sell-through at both distributors grew year-over-year and strengthened meaningfully on a sequential basis. We view sell-through as the truest indicator of end-market demand, and these trends reinforce our confidence in the underlying health of the business.

We are pleased to continue our dividend program of which the quarterly dividend will be $0.17 per share, which will be paid on January 4, 2027, to shareholders of record on December 14, 2026.”

Conference Call Information

Management will conduct a conference call at 11 a.m. ET today, November 2, 2026, and in order to participate please go to the Investor Relations section of the Company website at https://investor.napcosecurity.com/events-presentations or choose https://app.webinar.net/ndlaQ1yQy3W. Alternatively, interested parties may participate in the call by dialing (US) 1-800-836-8184 or (International) 1-646-357-8785.  A replay of the webcast will be available on the Investor Relations section of the Company’s website.

About NAPCO Security Technologies, Inc.

NAPCO Security Technologies, Inc., is one of the leading manufacturers and designers of high-tech electronic security devices, wireless recurring communication services for intrusion and fire alarm systems as well as a provider of school safety solutions, The Company consists of four Divisions: NAPCO, plus three wholly owned subsidiaries: Alarm Lock, Continental Instruments, and Marks USA. Headquartered in Amityville, New York, its products are installed by tens of thousands of security professionals worldwide in commercial, industrial, institutional, residential and government applications. NAPCO products have earned a reputation for innovation, technical excellence and reliability, positioning the Company for growth in the multi-billion dollar and rapidly expanding electronic security market. For additional information on NAPCO, please visit the Company’s web site at http://www.napcosecurity.com.

Safe Harbor Statement

This press release contains forward-looking statements that are based on current expectations, estimates, forecasts and projections of future performance based on management’s judgment, beliefs, current trends, and anticipated product performance. These forward-looking statements include, but are not limited to, statements relating to supply chain challenges and developments; the growth of recurring service revenues and annual run rate; the strength of our balance sheet; our expectations regarding future results; the introduction of new access control and locking products; the opportunities for school security products; the opportunities for fire alarm products; and our ability to execute our business strategies. Actual results, performance or achievements could differ materially from those anticipated in such forward-looking statements because of certain factors, including those risk factors set forth in the Company’s filings with the Securities and Exchange Commission, such as our annual report on Form 10-K and quarterly reports on Form 10-Q. Other unknown or unpredictable factors or underlying assumptions subsequently proved to be incorrect could cause actual results to differ materially from those in the forward-looking statements. Although we believe that the expectations reflected in the forward-looking statements are reasonable, we cannot guarantee future results, level of activity, performance, or achievements. You should not place undue reliance on these forward-looking statements. All information provided in this press release is as of today’s date, unless otherwise stated, and the Company undertakes no duty to update such information, except as required under applicable law.

*Non-GAAP Financial Measures

Certain non-GAAP measures are included in this press release, including non-GAAP operating income, non-GAAP net income, non-GAAP net income per share (diluted), non-GAAP net income margin, Adjusted EBITDA, Adjusted EBITDA per share (diluted), Adjusted EBITDA per share margin, Free Cash Flow and Free Cash Flow margin. We define non-GAAP net income as GAAP net income plus litigation settlement costs. We define Adjusted EBITDA as GAAP net income plus income tax expense, less net interest income (expense), stock-based compensation, non-recurring legal expenses, litigation settlement costs, and depreciation and amortization expenses.  Non-GAAP net income margin is non-GAAP net income divided by revenue. Adjusted EBITDA margin is Adjusted EBITDA divided by revenue. We define Free Cash Flow (FCF) as net cash provided by operating activities less capital expenditures. FCF margin is the FCF divided by revenue. These non-GAAP measures are provided to enhance the user’s overall understanding of our financial performance. By excluding these charges our non-GAAP results provide information to management and investors that is useful in assessing NAPCO’s core operating performance and in comparing our results of operations on a consistent basis from period to period. Our use of non-GAAP financial measures has certain limitations in that such non-GAAP financial measures may not be directly comparable to those reported by other companies. For example, the terms used in this press release, such as Adjusted EBITDA, do not have a standardized meaning. Other companies may use the same or similarly named measures, but exclude different items, which may not provide investors with a comparable view of our performance in relation to other companies. The presentation of this information is not meant to be a substitute for the corresponding financial measures prepared in accordance with generally accepted accounting principles. Investors are encouraged to review the reconciliation of GAAP to non-GAAP financial measures set forth above.

Contacts:
Francis J. Okoniewski
Vice President of Investor Relations
NAPCO Security Technologies, Inc.
Office 800-645-9445 x 374
Mobile 516-404-3597
fokoniewski@napcosecurity.com

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SOURCE NAPCO Security Technologies, Inc.