New Jersey Data Center Market Size and Share
New Jersey Data Center Market Analysis by Mordor Intelligence
The New Jersey data center market size at 1.0 GW of installed IT load capacity in 2025 and is on track to reach 1.2 GW by 2030, translating into a 3.8% CAGR for the forecast period. AI training clusters requiring tens of megawatts per lease are reshaping capital-expenditure priorities, and the entire procurement stack is tilting toward high-density power distribution, direct-to-chip cooling and rapid interconnection datacenterfrontier.com. Submarine-cable proximity in Wall Township, coupled with sub-millisecond fiber routes to Manhattan, has attracted latency-sensitive trading workloads and reinforced the state’s role as the North-East’s international gateway. Meanwhile, a PJM interconnection queue backlog exceeding 4.7 GW underscores how grid-access scarcity can accelerate facility consolidation or joint-venture structures that bundle existing power rights. Legislative moves that link AI data-center tax incentives to renewable-energy sourcing are setting new compliance thresholds and nudging operators toward behind-the-meter solar or wind PPAs.
Key Report Takeaways
- By data-center size, massive facilities held 55.2% of the New Jersey data center market share in 2024, while the mega class is forecast to post the fastest 5.6% CAGR through 2030.
- By tier classification, Tier 3 facilities led with 57.3% revenue share in 2024; Tier 4 deployments are expanding at a 6.4% CAGR to 2030.
- By data-center type, colocation commanded 46.6% share of the New Jersey data center market size in 2024, whereas cloud-service-provider builds are advancing at a 7.4% CAGR.
New Jersey Data Center Market Trends and Insights
Drivers Impact Analysis
Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
---|---|---|---|
AI-driven 20-MW+ pre-leasing surge | 1.2% | Northern NJ, Hudson County focus | Medium term (2-4 years) |
Sub-Atlantic subsea cables landing in NJ | 0.8% | Wall Township, coastal regions | Long term (≥ 4 years) |
Fin-tech latency arms-race (NY ↔ NJ ≤ 1 ms) | 0.6% | Secaucus, Mahwah corridors | Short term (≤ 2 years) |
Renewable "behind-the-meter" PPAs | 0.4% | Statewide, utility-scale projects | Medium term (2-4 years) |
State tax-abatement program NJEDA | 0.3% | Statewide economic zones | Long term (≥ 4 years) |
Build-to-suit GPU densification >40 kW/rack | 1.0% | AI-focused facilities statewide | Short term (≤ 2 years) |
Source: Mordor Intelligence |
AI-driven 20 MW+ pre-leasing surge
CoreWeave’s USD 1.2 billion Kenilworth project illustrates how GPU cloud providers now secure entire buildings before the first shovel breaks ground, underpinning a wave of speculative construction backed by long-term offtake contracts.[1]CoreWeave, “CoreWeave to convert New Jersey lab building into data center,” datacenterdynamics.comTypical AI racks exceed 40 kW, so developers pre-buy substations and liquid-cooling manifolds, locking in electrical and mechanical designs three quarters earlier than historical norms. This sudden front-loading of capex pushes the New Jersey data center market toward vertically integrated site-selection, where grid-interconnection status carries more valuation weight than real-estate cost. Pre-lease volumes above 60 MW also transfer bargaining power to hyperscalers that demand renewable guarantees or direct fiber into Wall Township’s landing station. The effect cascades into subcontracting tiers, lifting demand for commissioning engineers, immersion-cooling vendors and high-capacity switchgear.
Sub-Atlantic subsea cables landing in NJ
The NJFX campus offers carrier-neutral access to HAVFRUE/AEC-2 and WALL-LI routes, eliminating New York metro cross-connect fees and shaving milliseconds on trans-Atlantic round-trip latency.[2]Alan Mauldin, “NJFX Expands Subsea Hub Connectivity,” submarinenetworks.com Elevation 64 ft above sea level and flood-zone clearance enhance business-continuity credentials, attracting disaster-recovery footprints from financial institutions. Telxius and Windstream backhaul spurs now extend capacity south toward Virginia Beach, weaving New Jersey space into redundant Atlantic mesh topologies. In the longer horizon, data-sovereignty clauses that prohibit data routing through certain jurisdictions are expected to inflate value for diverse U.S. landing points. Consequently, the New Jersey data center market benefits from a structural connectivity moat difficult for land-locked rivals to replicate.
Fin-tech latency arms-race (NY ↔ NJ ≤ 1 ms)
NYSE’s 400,000 sq ft Mahwah engine and Equinix’s NY4 site in Secaucus deliver microsecond order-matching service that trading firms treat as strategic alpha.[3]Yevgeniy Sverdlik, “Equinix NY4 Latency Metrics,” datacenterknowledge.com Dedicated dark-fiber pairs use micro-bending-optimized glass and flat routes to keep round-trip times under 0.8 ms, while switch vendors offer cut-through firmware to minimize serialization delay. Equity traders increasingly co-locate cryptocurrency nodes and low-latency derivatives engines in the same cabinets, concentrating bandwidth-intensive workloads within Hudson County. The New Jersey data center market thus commands premium pricing for contiguous whitespace, and even marginal gains—10 meters of fiber, a single cross-connect hop—justify seven-figure annual fees for sophisticated trading desks.
Build-to-suit GPU densification greater than 40 kW/rack
NVIDIA DGX B200 units consume 14.3 kW each, leading operators to adopt cold-plate loops and rear-door heat exchangers capable of handling 1000 W per square foot. Some greenfield designs in Middlesex County are experimenting with 400 V DC distribution, reducing conversion loss and freeing breaker panel real estate for additional feeds per rack. Immersion cooling can push PUE to 1.03, trimming operating expenses and unlocking more megawatts within fixed transformer envelopes. The densification curve raises procurement complexity, elongating chiller and manifold-fabrication lead times, thereby rewarding incumbents with established vendor stockpiles. Ultimately, next-generation AI racks act as forcing functions, accelerating a state-wide retro-fit cycle that compresses smaller legacy sites into higher-yield high-density footprints.
Restraints Impact Analysis
Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
---|---|---|---|
PJM power-queue backlog greater than 4.7 GW | -1.8% | PJM territory, interconnection points | Medium term (2-4 years) |
12-24 month transformer lead-times | -0.9% | Statewide, utility infrastructure | Short term (≤ 2 years) |
Real-estate scarcity in Hudson Co. | -0.6% | Hudson County, prime locations | Long term (≥ 4 years) |
Water-use restrictions (Passaic basin) | -0.4% | Passaic River watershed | Medium term (2-4 years) |
Source: Mordor Intelligence |
PJM power-queue backlog greater than 4.7 GW
PJM’s queue included 268 GW of generation requests by year-end 2024, yet only a single-digit percentage will reach operation in the near term, creating a mismatch between data-center demand and available capacity. Public Service Electric & Gas recorded 4.7 GW of large-load interconnection inquiries from data-center clients alone, clogging study windows and delaying permits. Retirements of 60 GW of thermal generation exacerbate the crunch because intermittent renewables in the same queue require extra grid-services headroom. Developers that lack executed PJM agreements are therefore forced toward costly on-site gas turbines or battery-backed behind-the-meter solar arrays. This bottleneck shaves nearly two percentage points off the otherwise robust growth slope of the New Jersey data center market.
12–24 month transformer lead-times
Global transformer factories hit full utilization after AI workloads accelerated the scale of substation orders, leaving U.S. purchasers waiting up to two years for custom 30 MVA units. Spot prices for copper and cold-rolled silicon steel added further volatility, and OEMs demanded non-cancellable deposits at design-freeze. Developers seeking dual 138 kV feeds face sequencing hurdles: pushing site excavation schedules forward without certainty on transformer ship dates raises carrying costs and jeopardizes tenant go-live deadlines. Operators with multi-site footprints mitigate exposure by bank-ordering units years in advance, but smaller entrants struggle, slowing their entry into the New Jersey data center market and reinforcing consolidation.
Segment Analysis
By Data Center Size – Massive facilities anchor AI investment
The massive category delivered 55.2% of 2024 revenue in the New Jersey data center market. Hyperscalers cluster multi-story halls and aggregate 80 MW utility feeds, attaining cooling economies that small sites cannot reproduce. This class enjoys ample land parcels in Middlesex and Mercer counties where zoning approvals accommodate multi-building campuses. Mega facilities are projected to record a 5.6% CAGR and will likely tilt the New Jersey data center market size toward fewer but denser campuses between 2025 and 2030.
Smaller footprints still play roles in edge aggregation, content caching and disaster-recovery topologies for mid-market enterprises. However, capex-per-MW spreads favor large-scale builds, especially as power densities rise above 40 kW. CoreWeave’s Kenilworth complex highlights how a single AI tenant can underwrite full-parcel development value, expediting entitlements and locking in renewable-energy PPAs at scale. Consequently, developers redeploy brownfield warehouses into multi-tenant suites only when grid access is pre-existing, limiting expansion pathways for the smallest site classes.
By Tier Classification – Tier 3 dominance under Tier 4 pressure
Tier 3 facilities captured 57.3% of the New Jersey data center market share in 2024, providing concurrently maintainable design without the premium of full fault tolerance. Financial-services and AI workloads, however, are propelling Tier 4 builds at a 6.4% CAGR as users quantify downtime at seven-figure hourly losses.
Exchange venues in Mahwah and Secaucus already exemplify Tier 4 architecture, incorporating dual active electrical paths, 2N+1 generator farms and geo-redundant chillers. The New Jersey data center market size allocated to Tier 4 halls is expected to rise whenever AI-training clusters require power-interruption immunity to avoid expensive model restarts. Conversely, Tier 1 and Tier 2 footprints are relegated to lab sandboxes or non-critical archival storage, setting the stage for future repurposing or retirement of low-tier inventory.
By Data Center Type – Colocation leadership meets CSP acceleration
Colocation accounted for 46.6% of the New Jersey data center market size in 2024, underpinned by interconnection density along the Secaucus-Wall fiber spine. Retail suites permit enterprises to stitch redundancy across multiple carriers, while wholesale wings cater to 2-5 MW blocks sought by SaaS providers.
Cloud-service-provider self-builds, though, deliver the fastest 7.4% CAGR as hyperscalers hunt for lower operating costs and rack layouts optimized for their proprietary liquid-cooling loops. Hybrid strategies such as Equinix xScale or Digital Realty’s Build-to-Suit program blur the lines, letting CSPs assume entire data halls inside otherwise multi-tenant campuses. Over time, the New Jersey data center market will likely converge on mixed-ownership models where retail colocation thrives in gateway buildings and CSP megacamps dominate greenfield parcels in central and southern counties.

Geography Analysis
Hudson County hosts the densest cluster of carrier hotels and finance-oriented facilities and therefore anchors the northern part of the New Jersey data center market . Secaucus, with its direct highway links into Manhattan and redundant substations on Patterson Plank Road, is home to Equinix’s NY4, NY5 and NY6, Digital Realty’s 210 Hudson Street and Coresite’s NY2 and NY3. These buildings enjoy round-trip latencies under 0.8 ms to Wall Street matching engines, a metric decisive for electronic-trading firms that lease high-spec cabinets months in advance.
Limited land availability and rising property taxes in Hudson County are nudging incremental capacity south toward Middlesex and Mercer counties. Here, municipalities like East Windsor and South Brunswick approve 70-acre parcels capable of accommodating 300-MW campuses, while zoning boards offer PILOT (payment-in-lieu-of-tax) structures to attract capital-intensive projects. Developers pivot to repurposed warehouses, leveraging existing 26-ft clear heights for hot-aisle containment retrofits, and pair onsite solar canopies with community-solar credits that offset peak tariffs.
Southern New Jersey, historically peripheral to data-center expansion, is exhibiting early-stage activity due to adjacency to Philadelphia and unused 230 kV transmission corridors. Nebius’s 300 MW campus announcement underscores how AI cloud platforms weigh renewable-energy appetite, labor costs and long-haul fiber routes as much as Manhattan adjacency. Over the next decade, the New Jersey data center market could evolve into a tri-polar geography—Hudson latency hubs, Central megacamps and emerging South Jersey renewable-rich clusters—thereby distributing load stress across multiple utility districts.
Competitive Landscape
Competition remains balanced among multi-site REITs, carrier-neutral interconnection specialists and AI-focused independent entrants. Digital Realty’s six New Jersey assets span both Hudson and Middlesex counties, and the firm reported a 17× surge in Q4 2024 earnings driven by hyperscale bookings, confirming the margin pull bestowed by high-density deployments. Equinix runs eight IBX sites whose metro-connect fabric links directly to subsea landing stations, giving the company a first-mover advantage in cross-border bandwidth resale equinix.com.
New entrants such as CoreWeave differentiate through vertically integrated GPU clouds, offering pre-configured Kubernetes orchestration and hourly consumption models that lure AI developers away from general-purpose colocation. Meanwhile, joint-venture structures—exemplified by Equinix-PGIM’s USD 600 million vehicle—unlock balance-sheet capacity for land banking near substations already studied by PJM. Technology fronts include immersion-cooling start-ups partnering with incumbents to retrofit legacy rooms, and edge micro-modular vendors positioning 100 kW pods along street-cabinet fiber to support 5G and AR/VR workloads.
Capital requirements, power-contract negotiations and transformer scarcity raise barriers to entry. Operators with multi-state grids can shift energization schedules to match transformer arrival, whereas single-site developers confront idled crews. As AI rack densities double over the coming five years, strategic control over liquid-cooling IP and supply-chain volume discounts will likely consolidate share within the top five providers, yet room remains for specialized niche players targeting ultra-low-latency financial workloads or submarine-cable backhaul services.
New Jersey Data Center Industry Leaders
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Equinix Inc.
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Digital Realty Trust Inc.
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CoreSite Realty Corp.
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CyrusOne LLC
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DataBank Holdings Ltd.
- *Disclaimer: Major Players sorted in no particular order

Recent Industry Developments
- March 2025: Governor Murphy, Princeton University, Microsoft and CoreWeave launched the New Jersey AI Hub to foster research and workforce development.
- March 2025: Nebius Group unveiled plans for a 300 MW AI-ready campus scheduled to deliver first power in summer 2025.
- March 2025: Bill S-4143 advanced in the state senate, mandating that AI data centers procure electricity from clean-energy sources.
- February 2025: Digital Realty posted record Q4 2024 performance and expanded its development pipeline to 644 MW under construction.
New Jersey Data Center Market Report Scope
A data center is a physical room, building, or facility that holds IT infrastructure used to construct, run, and provide applications and services and store and manage the data connected with those applications and services.
The New Jersey center market is segmented by dc size (small, medium, large, massive, mega), tier type (tier 1&2, tier 3, tier 4), absorption (utilized (colocation type (retail, wholesale, hyperscale), end user (cloud & IT, telecom, media & entertainment, government, BFSI, manufacturing, e-commerce)), and non-utilized).
The market sizes and forecasts are provided in terms of value (MW) for all the above segments.
By Data Center Size | Small | |||
Medium | ||||
Large | ||||
Massive | ||||
Mega | ||||
By Tier Type | Tier 1 and 2 | |||
Tier 3 | ||||
Tier 4 | ||||
By Data Center Type | Cloud Service Providers (CSPs) | |||
Enterprise, Modular and Edge | ||||
Colocation | Utilized | Colocation Type | Retail | |
Wholesale | ||||
Hyperscale | ||||
End User | Cloud and IT | |||
Telecom | ||||
Media and Entertainment | ||||
Government | ||||
BFSI | ||||
Manufacturing | ||||
E-Commerce | ||||
Other End User |
Small |
Medium |
Large |
Massive |
Mega |
Tier 1 and 2 |
Tier 3 |
Tier 4 |
Cloud Service Providers (CSPs) | |||
Enterprise, Modular and Edge | |||
Colocation | Utilized | Colocation Type | Retail |
Wholesale | |||
Hyperscale | |||
End User | Cloud and IT | ||
Telecom | |||
Media and Entertainment | |||
Government | |||
BFSI | |||
Manufacturing | |||
E-Commerce | |||
Other End User |
Key Questions Answered in the Report
What is the projected capacity of the New Jersey data center market by 2030?
The market is expected to reach 1.2 GW of installed IT load capacity by 2030, reflecting a 3.8% CAGR.
Which facility-size segment leads the state’s data center landscape?
Massive data centers held 55.2% revenue share in 2024 and remain the dominant segment as AI workloads scale.
How fast are Tier 4 facilities growing in New Jersey?
Tier 4 deployments are expanding at a 6.4% CAGR through 2030, driven by financial-services and AI reliability demands.
What share do colocation facilities hold in the market today?
Colocation sites accounted for 46.6% of the New Jersey data center market size in 2024.
Why are PJM interconnection backlogs a concern for developers?
More than 4.7 GW of large-load requests are queued, delaying grid access and dampening market growth by an estimated 1.8% of CAGR.
How is state legislation influencing energy sourcing for AI data centers?
A pending bill (S-4143) requires AI-oriented facilities to procure power from clean-energy sources, pushing operators toward renewable PPAs.
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