The 10 Most Influential Hardware Companies of 2026

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Apr 27, 2026 12:20 PM CUT

Illustrations by Zhenia Vasiliev

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Apr 27, 2026 12:20 PM CUT

This year, TIME editors launch the TIME100 Companies: Industry Leaders lists, an expansion of the TIME100 Most Influential Companies issue that dives deeper into 20 sectors to look at the companies shaping their industries. These are the 10 most influential companies in hardware of 2026.

Nvidia

AI’s center of gravity

The world’s most valuable company, Nvidia, designs the chips at the heart of the AI boom. The behemoth is preparing its next-generation AI computing platform for release later this year: the Vera Rubin, named after the astronomer whose observations confirmed the existence of dark matter, the invisible mass whose gravity holds galaxies together. Nvidia claims the new supercomputer will deliver five times the inference performance of its predecessor and reduce the cost per token by a factor of ten. Ahead of the Vera Rubin’s release, the biggest tech companies, including Microsoft, Amazon, and Google, are funneling hundreds of billions of dollars into the data centers that will house them; upon delivery, they will set the supercomputers to work training vast new AI models at a scale the world has never seen. Nobody knows what that effort will yield—for the economy, for workers, or for an increasingly fragile global order. In its February earnings report, Nvidia posted quarterly net income of $43 billion, up 94% from a year earlier—an astounding rate of growth for a company already worth more than $4.8 trillion. Just like Rubin’s dark matter, Nvidia is now the invisible glue holding the tech economy together. —Billy Perrigo

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Samsung

Consumer tech king

The next phase of AI will be less about dazzling new models than making the technology feel useful in everyday life. Few companies are better positioned for that transition than Samsung, which manufactures everything from the high-bandwidth memory chips training AI models in data centers to consumer tech staples like phones, TVs, and wearables. Samsung's latest phones can already delegate multi-step tasks to AI agents that act across apps on a single command, with the goal of extending that intelligence throughout the company's entire consumer device ecosystem. "In order for AI to give you the solutions you are seeking, it has to understand your personal need,” says Yoonie Joung, president and CEO of Samsung Electronics North America. While many smartphone makers have played it safe on new form factors, Samsung has pushed into foldables, a health-tracking smart ring, and AI-powered smart glasses built with Google and Qualcomm slated to launch in 2026. Samsung also aims to build Galaxy AI into 800 million mobile devices by year's end—double 2025’s total. The sprawl was the strategy all along. —Alex Stone

Boston Dynamics

Our robotic future

In early 2026, Boston Dynamics’ humanoid robot Atlas left the dance floor for the factory floor, with its first industrial deployments slated for majority-owner Hyundai's new auto plant in Georgia. “The world is built around humans,” says Nik Noel, VP of marketing and communications, and Atlas is designed to work in real-world spaces, with fully rotational joints that let it move in ways people cannot. In January, Boston Dynamics and Google DeepMind announced a partnership to bring Gemini Robotics’ foundation AI models to Atlas, giving the robot better perception, reasoning, and tool use. Meanwhile, warehouse robot Stretch scored a major commercial win when logistics giant DHL signed on for more than 1,000 additional units, and robot dog Spot, which is in use in hundreds of factories, foundries, and other industrial facilities, continues to experiment with pilots in hazardous inspection and explosive-ordnance scenarios. Soon, Spot robots will begin park inspections and other monitoring tasks in the UAE. At a time when robotics companies are under pressure over safety, surveillance, and weaponization, Boston Dynamics maintains that it will not weaponize its robots and that their use must comply with privacy and civil-rights laws. —Alison Van Houten

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Caterpillar

The physical layer for AI

AI may run on chips and models, but it still needs steel, concrete, fuel, and backup power. Caterpillar—the century-old maker of heavy yellow machines—has positioned itself as a key supplier to that physical foundation: mining critical minerals, constructing data centers, and supplying the engines and turbines that keep them running. At CES 2026, CEO Joe Creed cast Caterpillar as part of the “invisible layer of the tech stack,” while the company showcased AI tools and autonomous machines meant to bring more intelligence to work sites. It is also tying itself more directly to the AI boom through data-center power deals with Hunt Energy and Vertiv, and an agreement to provide 2 gigawatts of on-site power for an AI data-center campus in West Virginia. With data-center power demand expected to triple in the next decade, Caterpillar says it will expand its manufacturing capacity by 2030 to build twice as many large engines used in generators and 2.5 times as many natural-gas turbines. —Chris Stokel-Walker

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Dell Technologies

Building AI infrastructure

Companies once turned to Dell for off-the-shelf servers, PCs, and data center hardware. Now they're asking it to help build what Dell calls "AI factories"—integrated systems that combine  accelerated computing with networking, storage, and software to run AI at scale. "We've gone from an infrastructure provider to a trusted advisor for the most important workload we've seen in recent history," says Arthur Lewis, president of Dell's Infrastructure Solutions Group. Dell is now one of the world’s leading suppliers of AI servers and related infrastructure. In partnership with Nvidia, Dell has deployed its AI factory systems to more than 4,000 customers, including Lowe's, McLaren, and CoreWeave. The company reported this February that AI server sales have more than doubled since early 2025—from approximately $10 billion to $25 billion, with $50 billion projected this year. The company has spent the past three years reorganizing itself around AI, anticipating a fundamental shift in how businesses operate. "Eighteen months ago we said, 'Holy sh-t, we need to move even faster,'" Lewis says. "The advancements were undeniable." —Tharin Pillay

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DJI

Gadget maker to geopolitical target

Five years ago, DJI was best known for selling high-end drones to photographers and hobbyists. Today, the Shenzhen-based company has become one of the most consequential technology firms on earth. Its off-the-shelf Mavic drones serve as the de facto reconnaissance platform on both sides of the Ukraine war. Nearly 400,000 of its agricultural drones are at work across 100 countries, the company says. And with an estimated 70% of the global civilian drone market, DJI has no serious rival. That supremacy has also made it a target: in December, the FCC effectively blocked new DJI models from the U.S. market on national-security grounds. Police and fire departments across the country warn the move could cripple first-responder programs. DJI accounts for roughly 87% of public-safety drones, according to industry estimates, and it's unclear if U.S. manufacturers can fill the gap. —Chris Stokel-Walker

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Fujifilm

Analog charm

In a consumer tech landscape saturated with AI tools, Fujifilm’s Instax cameras look quaint by comparison—and that’s the point. The company's most recognizable consumer product is surging with the under-30 crowd, who frequently use colorful Instax cameras to capture weddings, concerts, and other moments worth holding on to. Fujifilm has sold more than 100 million Instax cameras and printers worldwide since the line debuted in 1998, and the 92-year-old Tokyo-based company is leaning further into nostalgic hardware with the January launch of its Instax Mini Evo Cinema, a Super 8-style instant camera that shoots both photos and video. “At its core, it really is about that human need for connection, which stands the test of time,” says Ashley Reeder Morgan, vice president of consumer marketing for Fujifilm North America. For all the cultural energy around escaping algorithms, Fujifilm isn't trying to pit analog against digital. "Instant photography and digital worlds are an ecosystem," Morgan says. "It's about how Instax adds to your life, including your digital life." —Rachel Brodsky

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Huawei

Securing China’s AI independence

You might think that spearheading China’s effort to break free of U.S. chip dependence would be toil enough for Huawei. And indeed, the Shenzhen-based firm has made remarkable strides toward semiconductor self-sufficiency, driving the development of 7-nanometer domestic chip manufacturing and aiming to double AI chip output in 2026. In addition, Huawei has announced a three-year roadmap for its Ascend 950, 960, and 970 AI chips, along with plans for the Atlas 960 SuperCluster, a massive AI computing system built from more than 1 million Ascend accelerators. But chips are only a fraction of the story. Huawei has rolled out its AI-native operating system HarmonyOS across its PCs, tablets, and smartphones—once again the top-selling phones in China—while pushing into 6G research and lending its smart-driving technology to electric vehicle makers like Seres and Chery. All of this is underpinned by Huawei's longstanding commitment to boundary-pushing research. The company spends some 22% of its revenue—which was $127 billion in 2025—on R&D, with roughly a third of that dedicated to theoretical research. "Without theoretical research, there will be no major breakthroughs and we will not catch up with the U.S.," Huawei founder Ren Zhengfei told People's Daily in June. —Charlie Campbell

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Micron Technology

From commodity to strategic asset

Memory chips have historically been a cyclical, low-margin commodity business. AI has changed that. Every GPU training an AI model and every server running one needs vast amounts of high-speed memory, and Micron is one of only three companies that makes it, alongside Samsung and SK Hynix. The numbers tell the story: Micron's revenue grew nearly 50% to a record $37.4 billion in fiscal 2025, with data center sales jumping from 35% of the business to 56% in a single year. Revenue from high-bandwidth memory (HBM) and server DRAM increased fivefold to $10 billion. "AI hasn't just increased demand for memory—it has fundamentally recast memory as a defining strategic asset," chairman and CEO Sanjay Mehrotra said in an earnings call in March. Demand is relentless: Micron’s HBM supply is sold out through 2026. To step up production, the company is planning to spend $25 billion on manufacturing expansion this year, including the $1.8 billion acquisition of a chipmaking facility in Taiwan from competitor Powerchip Semiconductor. —Chris Stokel-Walker

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Qualcomm

Making AI practical

AI is moving off the cloud and onto the devices in your pocket, on your wrist, and in your car. Qualcomm, long synonymous with smartphone chips, wants to power that next phase. The company now makes processors for PCs, cars, smartwatches, smart glasses, and, as of late 2025, data centers, and it is threading AI capabilities through all of them. Its Snapdragon Wear Elite chip for smartwatches, unveiled in March, brings a dedicated neural processor to the wrist. Its AI200 accelerator, shipping later this year, takes the same inference architecture into the server rack. The ambition is to move more AI processing onto the device itself, rather than sending every task back to the cloud. Its smart glasses offer a glimpse of what’s next: lightweight AI assistants that can process voice and visual input locally. "As the world is changing, our technology becomes more relevant to more people and more industries," says CFO and COO Akash Palkhiwala. "The DNA of the company has already evolved." —Chris Stokel-Walker

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