Edge AI Funding Tracker (135 deals)

Our funding tracker covering the edge AI market

Below is the table listing all the deals. You may find our methodology at the end of this page.

And, if you want to gain aa deeper understanding of the market and its current dynamics, get our report covering the Edge AI Market.

Is Edge AI really a $24.6 billion funding market today?

Edge AI funding looks huge at $24.56 billion today, but a normal financing in this market is still around $12 million.

We tracked 135 qualifying financings across 127 companies from January 2024 through today. Together, those rounds account for at least $24.56 billion of reported capital. The headline is dominated by one exceptional transaction: Waymo's $16 billion financing alone represents 65.1% of the total.

The rest of the distribution looks completely different. Once we remove rounds above $50 million, only about $1.30 billion remains. The median disclosed round is $11.88 million, compared with an average of $183.31 million.

That 15.4x gap between the average and median tells us what kind of market we are dealing with. Most founders are raising low-eight-figure rounds while a small group of autonomous-driving and robotics companies operate at a radically larger scale.

Metric	Result
Financings	135
Unique companies	127
Reported capital	≥$24.56B
Capital excluding rounds above $50M	≈$1.30B
Capital excluding rounds above $100M	≈$2.01B
Median disclosed round	$11.88M
Average disclosed round	$183.31M
Average / median	15.4x
Largest deal share of capital	65.1%

How many Edge AI companies are actually getting funded, and do they keep coming back?

The Edge AI funding market currently contains 127 funded companies, and almost all of them appear only once in our research window.

Of those 127 companies, 119 have a single qualifying financing. Only eight appear twice, while none appears three times or more.

That is unusual given how concentrated the money is. The companies that raised more than once account for only about $746 million, or 3% of the capital we tracked. Most of the huge funding total comes from giant individual rounds rather than the same startups repeatedly returning to investors.

The market has real company breadth, with more than 100 funded businesses spanning robotics, autonomous vehicles, local AI compute, machine vision, cameras and telecom. What we do not see is a large repeat-fundraising engine where dozens of companies keep raising every year.

Is Edge AI funding basically just Waymo?

Waymo distorts Edge AI funding more than any other company, although plenty of serious capital exists below it.

The company accounts for roughly two-thirds of all capital we tracked. Skild AI sits a distant second with $1.4 billion during the window, followed by Wayve at $1.2 billion, Waabi at $750 million and Apptronik at $520 million.

The top five companies together absorb 80.9% of all reported capital. By the time we reach the top ten, the share is 88.1%.

This concentration is much sharper than the company count suggests. Thirty-six companies raised no more than $5 million cumulatively, while only 24 went above $50 million.

In practice, Waymo sits in a financing class of its own. Then comes a small group of billion- and several-hundred-million-dollar companies, followed by a much larger market raising conventional venture rounds.

Company	Capital in the window	Qualifying rounds
Waymo	$16.00B	1
Skild AI	$1.40B	1
Wayve	$1.20B	1
Waabi	$750M	1
Apptronik	$520M	1
Shenzhen Zhuoyu Technology	>$507M	1
Helsing	$487M	1
Axelera AI	>$318M	2
Bedrock Robotics	$270M	1
LimX Dynamics	$200M	1

What can a normal Edge AI startup realistically raise today?

A normal Edge AI startup today is far more likely to raise $5 million to $20 million than $100 million-plus.

We found 36 rounds below $5 million and another 51 between $5 million and $20 million. Together, those two buckets contain 87 financings, almost two-thirds of the entire market.

Another 20 rounds fall between $20 million and $50 million. In total, 107 of the 134 financings with a disclosed or estimable size came in below $50 million.

The big rounds are rare by count. Nineteen transactions reached $100 million or more, yet they absorbed at least 92.6% of all capital.

For a founder trying to understand today's market, the $11.88 million median is much more useful than the headline average. A company only enters the nine-figure financing world once investors are willing to fund a much more expensive phase of hardware, infrastructure or deployment.

Which parts of Edge AI are getting the most money right now?

Vehicle Edge AI gets most of the money, while Industrial Edge AI gets the most actual deal activity.

We counted 48 Industrial Edge AI financings across 44 companies, making it the busiest category by a comfortable margin. On Prem AI follows with 32 deals, then Edge Vision Systems with 30.

The ranking flips once we look at dollars. Vehicle Edge AI has only 15 deals but absorbs at least $19.30 billion, or 78.6% of all capital. Industrial Edge AI comes next at at least $3.93 billion.

On Prem AI and Edge Vision Systems each contain dozens of funded companies, yet their total funding remains below $1 billion. Their median rounds are also much closer to what we see in normal venture markets.

The split gives a cleaner picture of Edge AI today: industrial applications generate the broadest flow of funded startups, while autonomous vehicles dominate the expensive end of the market.

Category	Deals	Companies	Capital	Median round
Vehicle Edge AI	15	15	≥$19.30B	$41.0M
Industrial Edge AI	48	44	≥$3.93B	$13.0M
On Prem AI	32	31	≥$640.9M	$6.3M
Edge Vision Systems	30	30	$532.9M	$11.15M
Edge AI Cameras	8	8	$111.9M	$10.25M
Telecom Edge AI	2	2	$47.5M	$23.75M
Total	135	127	≥$24.56B	$11.88M

Why are Vehicle Edge AI rounds so huge?

Vehicle Edge AI rounds are huge because commercial autonomy burns capital across compute, validation, vehicles, sensors and real-world deployment.

Waymo makes the scale difference obvious. Its financing was tied to fleet and geographic expansion after the company had already reached hundreds of thousands of autonomous rides per week. That is a very different use of capital from hiring another 30 engineers to improve an edge inference product.

Wayve and Waabi show the same pattern from different directions. Wayve closed a $1.2 billion Series D to push its embodied driving technology toward scaled commercial deployment. Waabi closed a $750 million Series C while expanding its autonomous-driving platform beyond trucking and into robotaxis.

The money has to cover much more than model development. These companies need training infrastructure, simulation, vehicle integration, onboard compute, sensors, safety validation and operational fleets.

That explains why a category with only 11.1% of the deals can absorb almost four-fifths of the dollars. The economics of putting autonomous systems onto public roads create a funding requirement that most other Edge AI companies simply never face.

Is Industrial Edge AI the broadest serious funding market right now?

Industrial Edge AI is where we currently see the widest mix of companies and genuinely big checks.

The category produced 48 financings, 44 funded companies and at least $3.93 billion in capital. Its median round is $13 million, close to the overall Edge AI median, which shows that the category still contains plenty of normal venture-backed startups.

At the same time, several companies have broken into nine-figure territory. Skild AI raised $1.4 billion, Apptronik added a $520 million Series A extension, Bedrock Robotics raised $270 million, LimX Dynamics $200 million and AI² Robotics about $173 million.

The use of that money is increasingly physical. Skild describes its capital as supporting a general-purpose robot intelligence platform and larger real-world deployments. Apptronik says its latest extension is being used to scale production and deployment of Apollo humanoid robots. NVIDIA's physical-AI stack similarly spans model training, simulation, synthetic data and edge deployment.

These days, that combination of software intelligence and expensive real-world rollout is turning industrial robotics into one of the few Edge AI segments where we can see both a large startup population and repeated nine-figure rounds.

Is On Prem AI still mostly an early-stage market?

On Prem AI still looks early-stage today, despite a few chip companies raising very large rounds.

We counted 32 financings in the category, making it the second-busiest part of Edge AI. Its median round, however, is only $6.3 million.

The stage mix explains a lot. On Prem AI has 22 early-stage deals and only six later-stage deals among the financings where we could establish a stage.

Axelera AI is one of the companies stretching the upper end, with more than $318 million raised across two transactions in our window. Other semiconductor companies also attract substantially larger checks than the category median.

Those outliers can make On Prem AI look more mature from a distance. Company by company, though, the category is still packed with relatively young businesses working on local inference, edge accelerators and private AI deployment. Only a small group has crossed into large-scale financing.

How old are Edge AI companies when big money starts showing up?

Edge AI companies usually spend several years building before big money starts showing up.

The median company was four years old at the time of financing. Seed companies had a median age of two years, Series A companies four years, and both Series B and Series C companies six years.

Cheque size rises much faster than company age. The median round grows from $3.8 million at Seed to $15.15 million at Series A, $42 million at Series B and $95 million at Series C.

That progression fits the technical reality of Edge AI. A company can spend years building models, hardware, sensors, data pipelines or deployment tools before investors become comfortable underwriting a much larger rollout.

The funded population also predates the latest AI excitement. Eighteen companies in our cohort were founded in 2023, 17 in 2021, and many others go back to 2018–2022. A meaningful part of today's funding activity is supporting companies that have already spent several years moving through the technical and commercial learning curve.

Where does the Edge AI funding ladder get difficult?

Series A to Series B is the clearest funding choke point in Edge AI.

We counted 47 Seed rounds and 36 Series A financings, followed by only 18 Series B rounds. The population halves between A and B at the same time as the median cheque jumps from $15.15 million to $42 million.

That is a tougher transition than the next conventional step. Fourteen companies reached Series C, where the median round rises again to $95 million.

The apparent collapse after Series C needs more care. Only one transaction is formally classified as Series D+, but five others sit under Growth Equity, and some large financings use extensions or unusual labels. Apptronik's $520 million financing, for example, was an extension of its Series A rather than a textbook B or C round.

Stage labels become messier at scale, but the A-to-B narrowing is hard to miss. That is where the pool of companies drops sharply while the amount of capital required starts moving into a much more demanding range.

Stage	Deals	Median round	Reported capital
Seed	47	$3.8M	$247.1M
Series A	36	$15.15M	$1.42B
Series B	18	$42.0M	≥$1.41B
Series C	14	$95.0M	≥$3.54B
Series D+	1	$1.20B	$1.20B
Growth Equity	5	$27.4M	≥$16.55B
Unknown	14	$5.72M	≥$188.2M

Are Edge AI investors finding new startups or mostly backing companies they already know?

Edge AI investors are mostly doubling down on companies that had already raised before.

We classify 107 of the 135 financings as follow-ons and only 26 as first financings. Two could not be established reliably.

The dollar gap is enormous. Follow-ons account for approximately 99.1% of the capital we tracked. First financings total only about $215 million and have a median size of $3.28 million, compared with $13.6 million for follow-ons.

That tells us where investors are putting serious money today. New teams can still get financed, but the large pools of capital generally arrive after a company has already survived at least one outside funding round and built more evidence around the technology or commercial opportunity.

The Edge AI funding cycle is heavily geared toward scaling an existing cohort of companies.

Which Edge AI lead investors keep coming back?

No small club of VC firms currently controls Edge AI funding.

Among the 110 financings where we could identify a lead or co-lead, we found 163 distinct investor names. Only nine appear more than once, and none appears three times.

Sequoia Capital, Khosla Ventures, General Catalyst, HongShan, Maverick Capital and Insight Partners are among the recurring names, but even they show up only twice.

That is remarkably fragmented for a market that has already produced several billion-dollar rounds. Major investors clearly want exposure to individual Edge AI winners, yet we do not see a handful of specialist financial firms repeatedly underwriting the category from company to company.

The combined round values below describe the financings those investors led or co-led; they are not estimates of how much each investor personally contributed.

Repeated lead/co-lead	Deals	Combined size of rounds
Sequoia Capital	2	≈$16.02B
Khosla Ventures	2	≈$801M
General Catalyst	2	≈$526M
HongShan	2	≈$162M
Maverick Capital	2	≈$155M
Insight Partners	2	≈$59M
FORWARD.one	2	≈$14.1M
Unicorn India Ventures	2	≈$13.7M
Fairpoint Capital	2	≈$9.6M

Do strategic investors actually matter in Edge AI?

Strategic investors matter a lot in Edge AI, especially once hardware and deployment enter the picture.

We found at least one strategic investor in 49 of the 135 financings, or 36.3%. The difference in round size is striking: the median financing with strategic participation is $40 million, compared with $6.65 million without it.

Industrial Edge AI has 24 strategic-backed financings, while Vehicle Edge AI has eight. In percentage terms, strategic investors appear in half of Industrial Edge AI deals and slightly more than half of Vehicle Edge AI deals.

Amazon Industrial Innovation Fund and NVentures are the most recurrent strategic names in our dataset, with four appearances each. Other recurring corporate backers include Mercedes-Benz, NVIDIA, Samsung, Dell and Uber.

Their involvement makes commercial sense. An automotive company can bring integration and deployment. A chip company can bring compute. An industrial group can become a customer. Amazon's own industrial fund explicitly focuses on robotics, automation, logistics and adjacent technologies that can be deployed inside real operations.

Strategic capital does more than inflate a funding round. In physical Edge AI, the investor can also help a company get its technology into the field.

Is Europe actually underfunded in Edge AI?

Europe has plenty of Edge AI companies today; the gap is mostly in check size.

Europe produced 51 financings in our dataset, slightly more than North America's 49. The company counts are almost identical as well: 48 in Europe and 47 in North America.

Capital tells a much more lopsided story. European companies raised at least $2.52 billion, compared with at least $20.27 billion in North America. The median financing is $6 million in Europe and $16 million in North America.

One company explains a large part of that gap. Removing Waymo cuts $16 billion from the North American total immediately.

Europe still has companies capable of raising serious scale capital. Wayve closed a $1.2 billion Series D, Helsing raised $487 million, and Axelera AI raised more than $318 million across two financings.

The funding gap is therefore much bigger than the company-formation gap. Europe is producing Edge AI businesses and getting them funded; North America currently has more of the giant rounds that transform an entire market total.

Is Edge AI funding accelerating now, or was early 2026 just a huge spike?

Edge AI funding is active now, but the early-2026 dollar spike has not become a normal run rate.

A typical completed month in our research produced four deals and about $50.1 million of capital. February 2026 reached 15 deals and $18.88 billion.

The jump in activity was real, with almost four times the normal deal count. The jump in capital was on another scale entirely, reaching roughly 377 times the median monthly total because of the biggest financing in the dataset.

The months since then have been much calmer. July produced four deals and about $33.5 million, August five deals and $28.8 million, while the partial September period already contains six financings worth about $69.6 million.

That recent activity is useful because it brings us back to the underlying market. Edge AI companies are still raising money these days, but the normal monthly flow sits in the tens of millions, with occasional enormous rounds capable of changing the annual picture overnight.

Where does the Edge AI funding market visibly run out of depth?

Edge AI gets thin quickly once we look beyond early-stage funding and the biggest physical-AI categories.

Telecom Edge AI has only two financings in our research, both early stage. Edge AI Cameras contains eight deals and only one later-stage financing, with no round above $50 million.

On Prem AI is larger, but its stage distribution still leans heavily toward Seed and Series A. The deeper financing pools sit in Vehicle Edge AI and Industrial Edge AI, where companies can point to expensive deployment requirements and attract corporate partners with direct commercial interests.

The broader stage numbers tell a similar story. Seed and Series A represent 68.6% of classified financings, while later-stage deals make up less than a third.

As we saw above, stage labels become less tidy once rounds reach hundreds of millions of dollars, so the scarcity of formal Series D transactions should not be read literally. The more important limitation is the small number of companies that manage to reach a point where investors will finance deployment at true industrial scale.

What should we actually take away from Edge AI funding today?

The clearest way to read Edge AI funding today is as a broad startup market sitting underneath a very narrow pool of scale capital.

There are 127 funded companies in our research, and most of them raise conventional venture rounds. The median disclosed financing is about $12 million, while nearly two-thirds of deals fall below $20 million. The giant headline total tells us much more about a small group of autonomous-driving and robotics companies than about the typical Edge AI startup.

Where the money goes is also becoming clearer. Vehicle Edge AI dominates total capital because deploying autonomous vehicles requires enormous amounts of infrastructure and operational spending. Industrial Edge AI has the deepest company base and is increasingly producing large robotics financings of its own. On Prem AI and Edge Vision remain much more early-stage and fragmented.

The main funding hurdle comes around Series B. Plenty of companies can reach Seed and Series A, but far fewer make the next jump, when investors start writing $40 million-plus checks and expect much stronger proof that the technology can survive real deployment.

Corporate investors are unusually important here. We see them most often in the physical parts of the market, where access to chips, factories, vehicles, industrial customers and distribution can be as valuable as the capital itself.

For now, the funding market remains extremely bursty. The recent flow of smaller rounds shows that Edge AI is still active, while the spectacular billion-dollar months depend on a very short list of companies. Anyone trying to understand this market should watch company breadth, median round size and the number of companies reaching genuine scale, rather than treating every mega-round as evidence that funding conditions changed for everybody.