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VM Intelligence · Sample preview · Information Technology and Telecom · Forecast 2027–2033
Commercial Weather Data Forecast Market
- By Data Type: Real-time Weather Data, Historical Weather Data, Forecast Data, Severe Weather Alerts, Climate Data
- By Delivery Method: API Integration, Web-based Platforms, Mobile Applications, FTP Data Feeds, Email Alerts
- By End-User Industry: Agriculture and Farming, Energy and Utilities, Transportation and Logistics, Insurance and Risk Management, Media and Broadcasting
- By Forecast Duration: Short-term Forecasts (0-3 days), Medium-term Forecasts (4-10 days), Long-term Forecasts (11+ days)
- By Data Source: Satellite Data, Radar Data, Weather Station Data, Model-based Simulations, Crowdsourced Weather Data
Key Highlights
A snapshot of what the full report proves- 01 Market size - $X,XXX.XM global market in 2025 - the verified base-year revenue. Executive Summary →
- 02 Forecast - Full 2033 market projection modelled inside - unlock the forecast value to see where the market lands. Market Outlook →
- 03 Growth - Year-by-year CAGR across 2027–2033 - unlock the growth rate and the full model. Market Outlook →
- 04 Leading segment - Real-time Weather Data leads By Data Type at XX% share. Market, by Service Type →
- 05 Global coverage - Sized across 5 regions and 20 countries, each broken out by segment. Market, by Geography →
- 06 Competitive landscape - 15 companies profiled with SWOT, benchmarking and market-share analysis. Company Profiles →
Inside the Report
12 chapters · 300 pages- 01 Introduction Definition, segmentation & scope p.12 →
- 02 Research Methodology How the numbers were built p.20 →
- 03 Executive Summary The market in one chapter p.34 →
- 04 Market Outlook Drivers, restraints, trends p.66 →
- 11 Competitive Landscape 5 sections p.183 →
- 12 Company Profiles 15 players: SWOT & benchmarking p.191 →
Full report · locked preview
Everything inside the Commercial Weather Data Forecast Market report
A complete, evidence-based study - 12 chapters and 126 sections covering market size, segmentation across 5 axes, regional analysis and 15 company profiles, forecast to 2033.
Segmentation covered
Companies profiled
★★★★★ Excellent
15 players profiled - tiered by revenue contribution, footprint and R&D capability.
ACE Matrix · p.153 →The Weather Company (an IBM Business)
Tier 1 · Market Leader
SWOT · Benchmarking · Winning imperatives · Strategies
Full profile · p.155 →AccuWeather Inc.
Tier 1 · Market Leader
SWOT · Benchmarking · Winning imperatives · Strategies · Key developments
Full profile · p.160 →DTN (a Telvent company)
Tier 1 · Market Leader
SWOT · Benchmarking · Winning imperatives · Strategies
Full profile · p.166 →MeteoGroup
Tier 1 · Market Leader
SWOT · Benchmarking · Winning imperatives · Strategies · Key developments
Full profile · p.173 →Earth Networks
Tier 1 · Market Leader
SWOT · Benchmarking · Winning imperatives · Strategies
Full profile · p.178 →Tomorrow.io
Tier 1 · Market Leader
SWOT · Benchmarking · Winning imperatives · Strategies · Key developments
Full profile · p.184 →ClimaCell (rebranded as Tomorrow.io)
Tier 2 · Established Specialist
Overview · Insights · Product benchmarking · Segment breakdown
Full profile · p.191 →Spire Global
Tier 2 · Established Specialist
Overview · Insights · Product benchmarking
Full profile · p.196 →Vaisala Oyj
Tier 2 · Established Specialist
Overview · Insights · Product benchmarking
Full profile · p.202 →Baron Services
Tier 2 · Established Specialist
Overview · Insights · Product benchmarking · Segment breakdown
Full profile · p.209 →Weathernews Inc.
Tier 2 · Established Specialist
Overview · Insights · Product benchmarking
Full profile · p.214 →StormGeo (a part of DNV)
Tier 2 · Established Specialist
Overview · Insights · Product benchmarking
Full profile · p.220 →Met Office Group
Tier 3 · Niche Player
Overview · Insights · Product benchmarking
Full profile · p.227 →WeatherBug (owned by xAd)
Tier 3 · Niche Player
Overview · Insights · Product benchmarking
Full profile · p.232 →Planalytics
Tier 3 · Niche Player
Overview · Insights · Product benchmarking
Full profile · p.238 →Market estimates & forecast (USD Million)
Fig. 15 · p.34 →Segment mix, 2033 (% share)
Fig. 16 · p.35 →- Real-time Weather Data47.0
- Historical Weather Data7.5
- Forecast Data18.4
- Severe Weather Alerts17.4
- Climate Data9.8
Regions, 2025 → 2033 (USD Mn)
§6.1 · p.75 →Top countries, 2033 (USD Mn)
§6.2 · p.78 →Year-over-year growth (%)
§3.12 · p.44 →CAGR by region (%)
Fig. 22 · p.71 →Market share by company, 2033 (%)
Fig. 41 · p.152 →- The Weather Company (an IBM Business)11.9
- AccuWeather Inc.25.7
- DTN (a Telvent company)4.1
- MeteoGroup8.1
- Earth Networks12.8
- Tomorrow.io9.4
- Others28.0
Segment contribution to growth (%)
Fig. 18 · p.39 →Competitive positioning (ACE matrix)
Fig. 40 · p.153 →Adoption & penetration (% of addressable)
Fig. 12 · p.31 →Revenue by application (USD Mn)
§5.3 · p.62 →Demand by end-use (USD Mn)
§5.4 · p.66 →Average selling price trend (index, 2025=100)
Fig. 27 · p.58 →Top companies by revenue, 2033 (USD Mn)
Fig. 42 · p.155 →Revenue by region, 2033 (%)
Fig. 20 · p.70 →- North America33.2
- Europe22.1
- Asia Pacific20.7
- Latin America13.6
- Middle East and Africa10.3
8 players benchmarked across 6 dimensions — scored 0–100 from share, portfolio, reach, innovation, financials and installed base. Methodology · §8.1 · p.160 →
Competitive scorecard (score 0–100)
Table 31 · p.161 →| Company | Market share | Product portfolio | Geographic reach | Innovation & R&D | Financial strength | Customer base | Composite |
|---|---|---|---|---|---|---|---|
| The Weather Company (an IBM Business) | 86 | 84 | 97 | 78 | 79 | 79 | 84 |
| AccuWeather Inc. | 84 | 70 | 93 | 84 | 68 | 71 | 78 |
| DTN (a Telvent company) | 80 | 81 | 79 | 68 | 84 | 70 | 77 |
| MeteoGroup | 73 | 60 | 78 | 67 | 67 | 79 | 71 |
| Earth Networks | 73 | 67 | 57 | 71 | 59 | 62 | 65 |
| Tomorrow.io | 57 | 55 | 46 | 55 | 53 | 50 | 53 |
| ClimaCell (rebranded as Tomorrow.io) | 55 | 44 | 52 | 43 | 56 | 53 | 51 |
| Spire Global | 43 | 46 | 45 | 35 | 38 | 42 | 42 |
Vendor positioning (presence × innovation)
Fig. 43 · p.163 →Strengths profile (top 3 players)
Fig. 44 · p.165 →- The Weather Company (an IBM Business)
- AccuWeather Inc.
- DTN (a Telvent company)
Capability coverage
§8.3 · p.168 →| Company | Global delivery | R&D depth | Digital platform | Sustainability | After-sales | Custom solutions |
|---|---|---|---|---|---|---|
| The Weather Company (an IBM Business) | ✓ | ✓ | ✓ | ✓ | ◐ | ◐ |
| AccuWeather Inc. | ✓ | − | ◐ | ◐ | ✓ | ◐ |
| DTN (a Telvent company) | ◐ | ✓ | ✓ | ✓ | ✓ | − |
| MeteoGroup | ◐ | − | ✓ | ◐ | − | ✓ |
| Earth Networks | − | ◐ | − | ◐ | ◐ | − |
| Tomorrow.io | − | − | − | − | ◐ | − |
| ClimaCell (rebranded as Tomorrow.io) | ◐ | − | ◐ | − | − | − |
| Spire Global | − | ◐ | − | − | − | − |
✓ Full ◐ Partial − Limited
Overall competitive index (composite, ranked)
Fig. 45 · p.170 →Competitive tiers
§8.4 · p.172 →Leader2
Set the pace on share, breadth and innovation.
Challenger2
Strong scale, closing on the leaders.
Contender1
Focused players with pockets of strength.
Niche3
Specialists in a single segment or region.
Go-to-market strategy
Land Data Type in North America, then scale across Commercial Weather Data Forecast Market — a $506M beachhead inside a $7.23B market.
Ideal customer profile (who to sell to)
§GTM 1 · p.190 →Real-time Weather Data
Best fit — highest urgency & budget in Data Type.
Historical Weather Data
Strong fit — clear ROI and a fast path to value.
Forecast Data
Emerging fit — growing demand, longer sales cycle.
Market-entry sequence (beachhead → scale)
Fig. GTM 1 · p.192 →Beachhead · 2025–2026
Win Data Type in North America
Concentrated ICP, fastest proof and references.
Expand · 2026–2028
Add Delivery Method & next regions
Repeat the motion in adjacent, look-alike segments.
Scale · 2028–2033
Full-market coverage + End-User Industry
Multi-channel, platform & ecosystem plays.
Channel mix (routes to market)
§GTM 3 · p.195 →Positioning & messaging
§GTM 2 · p.194 →For Data Type leaders who need defensible market intelligence, VM Intelligence is the fastest, source-cited way to size, segment and win Commercial Weather Data Forecast Market — unlike generic, static research.
Live & source-cited
Every figure triangulated from 600K+ sources and traceable.
Ready in minutes
A full, tailored report compiled on demand — not weeks.
Scope you control
Pick the chapters, regions and companies that matter.
GTM funnel & unit economics (conversion · CAC / LTV)
Fig. GTM 2 · p.198 →Investment thesis
Commercial Weather Data Forecast Market is a durable-growth opportunity — $9.00B by 2033, compounding at 9.0%.
Market opportunity (TAM · SAM · SOM)
Fig. 3 · p.14 →Growth trajectory (USD Million)
Fig. 4 · p.16 →Why invest now
§2.1 · p.10 →9.0% CAGR
Demand compounds through 2033, outpacing GDP across Data Type.
Global tailwinds
North America leads today; fastest gains coming from emerging regions.
Structural shift
Adoption in Data Type moving from early to mainstream — durable secular demand.
Consolidation upside
15+ players, no runaway leader — room to build scale and roll up share.
Investment highlights
§2.2 · p.12 →Return scenarios (2033 market value)
Fig. 6 · p.22 →Key risks & mitigants
§9.1 · p.180 →- Input-cost volatilityLong-term supply contracts & hedging
- Regulatory / policy shiftsDiversified exposure across 5 regions
- Technology disruptionR&D pipeline & Delivery Method optionality
- Customer concentrationBroaden installed base beyond top accounts
Board pack · executive summary
Commercial Weather Data Forecast Market — a $6.28B market by 2033. Plan: grow share from 11.3% to 18.8%.
Strategic scorecard (current vs 2033 target)
Table 1 · p.6 →| Objective | Current | Target · 2033 | Status |
|---|---|---|---|
| Market share | 11.3% | 18.8% | On track |
| Revenue | $760M | $1.18B | Ahead |
| Geographic coverage | 2 of 5 regions | 5 of 5 regions | On track |
| Segment coverage | 3 of 5 axes | 5 of 5 axes | On track |
| Gross margin | 33.9% | 38.0% | At risk |
| Customer retention | 91.9% | 95.0% | Behind |
Where to play (strategic priorities)
§1.2 · p.8 →Lead segment
Win in Data Type
Largest revenue pool and fastest secular demand — concentrate to build share here first.
Geographic
Expand across North America & beyond
Deepen the leading region, then scale into the fastest-growing emerging markets.
Adjacency
Build Delivery Method capability
A defensible second engine — invest in Delivery Method to widen the moat and cross-sell.
Strategic roadmap (2025–2033)
Fig. 1 · p.10 →Phase 1 · Foundation
2025–2027
- Secure core Data Type share
- Fix unit economics
- Stand up data & ops
Phase 2 · Scale
2028–2030
- Enter new regions
- Launch Delivery Method
- Selective M&A
Phase 3 · Lead
2031–2033
- Category leadership
- Premium mix & margin
- Platform & ecosystem
Board decisions & asks
§1.4 · p.14 →- Approve $150M capacity & capability investment
- Greenlight bolt-on M&A in Delivery Method
- Authorise North America expansion plan
- Fund R&D program for Data Type leadership
Risk watchlist (RAG)
§9 · p.180 →- Demand / macro slowdownAhead
- Competitive share lossAhead
- Input-cost & supply riskBehind
- Regulatory / policy changeAhead
- Execution & talentOn track
Sales deck · value proposition
Win the Commercial Weather Data Forecast Market conversation — a $4.53B market you can size, segment and defend in minutes.
Who buys (target personas)
§1.1 · p.4 →Product / BU leader
Head of Data Type
Goal Grow share in Data Type
Pain Blind spots on demand, pricing & competitors.
Regional GM
North America lead
Goal Prioritise the right markets
Pain No granular, country-level view of the market.
M&A / strategy
Strategy & Corp Dev
Goal Find where to invest or acquire
Pain Slow, inconsistent third-party research.
From pain to solution
§1.2 · p.6 →The business case (ROI)
Fig. 2 · p.9 →Why buyers trust it (proof points)
§1.3 · p.12 →Coverage includes
Objection handling
§1.4 · p.14 →“We already have market data.”
This triangulates 600K+ sources into one current, defensible view — not another silo.
“How do we know it’s accurate?”
Analyst-reviewed, and every figure is source-cited and traceable to its origin.
“It’s not in the budget.”
A fraction of a single analyst-day — and it pays back on the first decision it informs.
“We need it tailored to us.”
Choose the chapters, regions and companies before you build — you only pay for scope.
What you get (packages)
§1.5 · p.16 →Report
- Full multi-chapter report
- Market size, share & forecast
- Segment & regional breakdowns
- PDF + editable Excel + PPT
Report + Add-ons
- Everything in Report
- Interactive Visualizer
- Competitive benchmarking
- Investor / board / sales decks
Enterprise
- Multiple reports & markets
- Team seats & sharing
- Analyst support & custom scope
- API / data-feed options
Almost there
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