Home / Themes / Software '26: Consumption-led Pricing
Last updated
Theme thesis · 5/5 sections · Tickers 10 with notes · 5 pending
Bull / Bear Details has the investment thesis and bull/bear points. Overview is monitoring guidance (hiring, forums, second-order trends, search keywords, Google Trends, datasets).
Consumption-led software is thriving, driven by the explosion of AI workloads, agentic interactions, and digital transformation, inherently scaling usage. The b
Consumption-led software is thriving, driven by the explosion of AI workloads, agentic interactions, and digital transformation, inherently scaling usage. The bull case is more compelling due to accelerating AI adoption, despite persistent consumption volatility, intense competition, and rising infrastructure costs.
The proliferation of AI agents, large language models, and machine-to-machine communication is driving an unprecedented surge in data generation, compute cycles, and API calls. Consumption-led software providers, whose revenue directly scales with these measurable units, are experiencing exponential demand, as evidenced by 800% inference growth (DOCN) and 22x YoY MCP tool calls (DDOG).
Enterprises are increasingly consolidating digital operations and AI initiatives onto unified platforms, leading to expanded usage and multi-product adoption within existing customer bases. This deep integration enhances platform stickiness and drives higher net dollar retention (e.g., Snowflake's 126% NRR), allowing for greater monetization as customers scale their operations.
Consumption-led models are expanding significantly into large enterprises and new industry verticals, moving beyond traditional SMB or developer-centric roots. This upmarket shift, coupled with international expansion and specialized solutions (e.g., AI-native cloud, public sector), broadens the addressable market, as seen with Shopify's 76% B2B GMV growth and Toast's rapidly scaling new TAMs.
The direct linkage of revenue to customer usage exposes consumption-led software to significant volatility. Macroeconomic slowdowns, customer cost optimization initiatives (e.g., FinOps), and unpredictable usage patterns can lead to revenue fluctuations, making forecasting challenging, as highlighted by a major customer usage reduction impacting Datadog's guidance and Snowflake's inherent consumption variability.
The market for consumption-based software is highly competitive, facing pressure from hyperscalers bundling services, open-source alternatives, and aggressive pricing from direct competitors. This intense environment can lead to pricing erosion, particularly for commoditized services, and necessitates continuous innovation to maintain differentiation and avoid commoditization.
Scaling consumption-led platforms, especially to support burgeoning AI workloads, requires substantial and ongoing capital expenditure in data centers, GPUs, and network infrastructure. Rising component costs (e.g., memory chips), carrier fees (e.g., Twilio), and the need for rapid capacity expansion can lead to higher CapEx, pressure gross margins (e.g., Cloudflare's dip), and impact free cash flow (e.g., DigitalOcean, Fastly).
Cloud spending trends, cost optimization strategies, multi-cloud adoption
AI workload deployment, vector database performance, LLM integration challenges, agentic AI
Developer sentiment, new tools, open-source alternatives, cloud-native trends
Developer challenges, specific tech adoption, API usage patterns
Cloud cost optimization, spend management, FinOps practices, AI cost control
Real-time developer sentiment on AI consumption, framework integrations
Matchedgartner_it_spending_market_forecasts · access=file · map_only
Metric/field Total Cloud Services Spending (USD Trillions)
Cadence irregular
Why it matters Indicates overall market growth for cloud services, directly impacting consumption-led software.
Signal to watch Increasing forecasts for cloud spending
Confidence: high
Not in registryaccess=api
Metric/field Total Retail E-commerce Sales (Seasonally Adjusted, USD Billions)
Cadence quarterly
Why it matters Provides macro context for Shopify's Merchant Solutions and overall digital commerce activity, which drives many consumption models.
Signal to watch Accelerating year-over-year growth in e-commerce sales
Confidence: high
Not in registry
Metric/field Services PMI Business Activity Index (NAIBS)
Cadence monthly
Why it matters Reflects the health and expansion of the services sector, which includes many of the theme's key customer industries. Strong business activity often correlates with increased software usage.
Signal to watch Sustained expansion (above 50) and accelerating growth in the index
Confidence: high
Matched (medium)idc_technology_shipments_market_share · access=file · map_only
Metric/field Year-over-Year Growth Rate of AI Workload-Driven Cloud Consumption
Cadence irregular
Why it matters Directly fuels revenue for consumption-led software, indicating strong demand and a bullish outlook.
Signal to watch Accelerating growth in cloud resource consumption specifically from AI workloads
Confidence: high
Not in registryaccess=api
Metric/field PPI for Computer and Peripheral Equipment Manufacturing (NAICS 3341)
Cadence monthly
Why it matters Tracks input costs for hardware components (e.g., memory chips, servers, networking gear) essential for building and expanding cloud infrastructure, impacting gross margins for infrastructure-heavy consumption models.
Signal to watch Stable or declining PPI to alleviate margin pressure
Confidence: medium
Not in registry
Metric/field Relative Search Volume Index for 'cloud cost optimization' (Search Term)
Cadence weekly
Why it matters High or increasing search interest indicates customers are actively trying to reduce cloud spending, which could impact consumption-based revenue.
Signal to watch Declining search interest (less focus on cost cutting)
Confidence: high
Not in registry
Metric/field Relative Search Volume Index for 'AI inference platforms' (Search Term)
Cadence weekly
Why it matters Indicates developer and market interest in AI inference, a core driver for consumption-led software platforms.
Signal to watch Increasing search interest
Confidence: high
Not in registry
Metric/field Number of daily/weekly posts and upvotes related to 'cloud spending trends' OR 'FinOps' OR 'cost optimization'
Cadence daily
Why it matters Provides qualitative and quantitative insights into real-world cloud spending behaviors, optimization efforts, and sentiment among cloud users.
Signal to watch Decreasing volume of posts/discussions on cost optimization, increasing on new deployments/innovation
Confidence: medium
Not in registry
Metric/field Number of daily/weekly posts and upvotes related to 'LLM deployment' OR 'vector database performance' OR 'agentic AI applications'
Cadence daily
Why it matters Offers insights into developer challenges and successes with AI workload deployment, directly relevant to consumption drivers for SNOW, MDB, DDOG, DOCN, ESTC.
Signal to watch Increasing positive sentiment and successful deployment stories
Confidence: medium
Not in registry
Metric/field Number of new trending repositories and stars/forks for projects tagged 'LLM', 'Agentic AI', 'Vector Database'
Cadence daily
Why it matters Leading indicator of developer interest and adoption of AI frameworks that will drive data, compute, and API consumption for theme members.
Signal to watch Consistent increase in new, highly starred/forked repositories
Confidence: high
Matched (medium)engine_advertising_brand_tracking · access=file · map_only
Metric/field Aggregate unique job postings for 'Vector Search Engineer' OR 'LLM Ops' OR 'Cloud FinOps' across theme constituents (e.g., SNOW, DDOG, MDB, NET, DOCN)
Cadence irregular
Why it matters Leading indicator of company investment in AI, cloud infrastructure, and enterprise sales, signaling future consumption drivers.
Signal to watch Increasing trend in job postings for these roles, especially 'Vector Search Engineer' and 'LLM Ops'
Confidence: high
Matched (medium)similarweb_app_mobile_digital_behavior · access=file · map_only
Metric/field Estimated monthly/quarterly spend by enterprise customers on Datadog, Snowflake, MongoDB Atlas, Cloudflare, DigitalOcean (aggregated or by ticker)
Cadence irregular
Why it matters Direct insight into customer spending patterns on consumption-based software, including potential cost optimization or expansion.
Signal to watch Accelerating spend growth or increasing number of customers with expanding spend
Confidence: high
Matchedapptopia_app_downloads_rankings · access=file · map_only
Metric/field Monthly Active Users (MAU) and Downloads for 'Shop App' (Shopify) and 'Toast TakeOut app' (Toast)
Cadence irregular
Why it matters Indicates consumer engagement and adoption of platforms that drive GMV (Shopify) and transaction volume (Toast), directly impacting their consumption-based revenue.
Signal to watch Increasing MAU and downloads
Confidence: medium
Matchedgartner_it_spending_market_forecasts · access=file · map_only
Metric/field Average Cost per Unit of Compute (GPU) and Storage (TB) for Public Cloud Infrastructure
Cadence irregular
Why it matters Provides insight into the underlying costs for cloud infrastructure, which directly impacts the gross margins of infrastructure-heavy consumption-led software providers (e.g., NET, DOCN, FSLY).
Signal to watch Stable or declining cost trends for compute and storage
Confidence: high
Matched (medium)engine_advertising_brand_tracking · access=file · map_only
Metric/field Year-over-year growth in 'AI/ML Engineer' or 'Cloud AI Specialist' headcount at AWS, Azure, Google Cloud
Cadence irregular
Why it matters Indicates the level of investment and competitive threat from hyperscalers in the AI and cloud infrastructure space, which could impact consumption-led software providers.
Signal to watch Stable or decelerating growth in hyperscaler AI/ML headcount relative to theme constituents
Confidence: medium
| Metric | Cadence | What It Signals | Update Source |
|---|---|---|---|
| Net Revenue Retention (NRR) Rate for Consumption-Led Software | Annually | Sustained NRR above 120% indicates strong customer value, expanding usage, and successful monetization of consumption, signaling a bullish trend. Declining NRR is bearish. | LLM_Approved |
| Percentage of Total Cloud Software Revenue from Usage-Based Models | Annually | An increasing percentage indicates a growing adoption and preference for consumption-led pricing in the broader cloud software market, signaling a bullish trend. Stagnation or decline is bearish. | LLM_Approved |
| Global AI Workload-Driven Cloud Consumption Growth (Year-over-Year) | Annually (for forecasts), Quarterly (for provider-specific data) | Accelerating growth in cloud resource consumption from AI workloads directly fuels revenue for consumption-led software, indicating strong demand and a bullish outlook. Deceleration is bearish. | LLM_Approved |
| Catalyst | Estimated Timing | Estimated Date Start | Estimated Date End | Why It Matters | Ticker Or Theme Specific | Source Types | Contributing Tickers | Mention Count | Base Score | Source Weight | Specificity Weight | Macro Bridge | Macro Bridge Multiplier | Theme Score | Date Aggregated | Manual Override | Bridge Mention Count | Theme Base Score | Theme Importance Score | Catalyst Source | Catalyst ID | Transcript Date | Source Type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Accelerated adoption and monetization of AI workloads by enterprises, driving increased consumption of compute, storage, and platform services across various software vendors. | Q4 2026 and beyond | 2026-10-01 | 2027-03-31 | The shift of AI initiatives from prototyping to production directly translates into higher usage volumes for consumption-led software platforms, impacting revenue growth for a broad range of constituent tickers. This validates the core thesis of the theme. | Theme | theme_composer | SNOW, DDOG, MDB, NET, DOCN, TWLO, ESTC, FROG, KVYO, AMPL, BRZE | 11 | 0.0101 | 1.18 | 0.92 | 1.0 | 1.1014 | 2026-09-12 | False | 1 | 2.0897 | 226.863 | Theme composer | ||||
| Launch and successful monetization of new agentic AI products and features, such as dedicated drive-thru solutions, AI crawl control, and advanced voice AI capabilities. | Ongoing throughout 2026 and into 2027 | 2026-10-01 | 2027-12-31 | Specific AI product innovations demonstrate the ability of companies to capture new value from the evolving AI landscape, directly translating into increased usage and higher average revenue per user (ARPU) as customers adopt these advanced, consumption-based features. | Theme | theme_composer | TOST, SHOP, NET, TWLO | 4 | 0.0081 | 1.18 | 0.85 | 1.0 | 0.8095 | 2026-09-12 | False | 1 | 0.6714 | 67.3406 | Theme composer | ||||
| Timely ramp-up and utilization of expanded data center capacity and infrastructure investments, particularly for AI inference workloads. | Ongoing throughout 2026 and 2027 | 2026-10-01 | 2027-12-31 | For infrastructure-heavy consumption models, meeting the surging demand for AI inference and other high-volume workloads requires significant and timely capacity expansion. Successful utilization of this infrastructure is critical for achieving revenue growth targets and maintaining profitability. | Theme | theme_composer | DOCN, FSLY, NET | 3 | 0.0032 | 1.18 | 0.85 | 1.0 | 0.3188 | 2026-09-12 | False | 1 | 0.4281 | 42.9404 | Theme composer | ||||
| Expansion of consumption-led software platforms into the U.S. federal government and other regulated industries, driven by certifications like FedRAMP High and strategic acquisitions. | Q4 2026 and into 2027 | 2026-10-01 | 2027-12-31 | Entry into the public sector and regulated industries opens up a large, sticky, and often higher-value addressable market, providing new avenues for consumption growth and validating the security posture of these platforms. | Theme | theme_composer | DDOG, MDB | 2 | 0.0027 | 1.18 | 0.85 | Regulatory/Policy, Economic | 1.688 | 0.4604 | 2026-09-12 | False | 1 | 0.2237 | 37.8625 | Theme composer | |||
| Release of new product innovations, including machine-friendly APIs, auto-scaling, and auto-sharding capabilities, specifically designed to enhance MongoDB's appeal and functionality for AI agents. | throughout this coming year | 2026-03-02 | 2027-01-31 | These innovations are critical for MongoDB to solidify its position as the preferred data platform for AI and agentic applications, potentially driving increased adoption and consumption from AI-native companies and enterprises building AI workloads. | Ticker | MDB (ticker) | MDB_185764de | 2026-03-02 | earnings_transcript | ||||||||||||||
| Acceleration of MongoDB's partner growth engine, focusing on deepening relationships with hyperscalers, strategic system integrators for modernization efforts, and key players in the AI native ecosystem. | During the upcoming year | 2026-03-02 | 2027-01-31 | A more robust partner ecosystem can significantly expand MongoDB's reach, accelerate customer acquisition, and drive adoption of its platform for both core and AI workloads, impacting revenue growth and market share. | Ticker | MDB (ticker) | MDB_a20b2525 | 2026-03-02 | earnings_transcript | ||||||||||||||
| Achievement of feature parity between MongoDB Enterprise Advanced (EA) and Atlas. | throughout fiscal '27 | 2026-03-02 | 2027-01-31 | Bringing EA to feature parity with Atlas can enhance its competitiveness, especially in regulated industries and for customers preferring on-premise deployments, potentially driving stronger growth and larger multi-year deals for the EA business. | Ticker | MDB (ticker) | MDB_258e5473 | 2026-03-02 | earnings_transcript | ||||||||||||||
| Material revenue contribution from widespread production deployment of customer-facing agentic AI applications by large enterprises. | still early, Matt, just to be clear, because the security governance, observability, there are many, many aspects to the agents and what kind of outcomes they deliver if it is agents at scale. But we feel that we are ready and just yesterday, Matt, I was with a Fortune 25 firm. And when we outlined what we already have, where MongoDB can not only act as an operational data layer, but can also act as a long-term memory and some of the things that we are building right now they got really, really excited as they think about rolling out production agents at scale. So early but I'm seeing very encouraging signs, and we are ready. | 2026-08-01 | 2027-01-31 | This would significantly accelerate Atlas revenue growth beyond current core workload drivers, validating MongoDB's strategic positioning as the data platform for the AI era and positively impacting valuation and investor sentiment. | Theme | MDB (ticker) | MDB_4850795d | 2026-05-28 | earnings_transcript | ||||||||||||||
| MongoDB achieving FedRAMP High certification for its U.S. federal offerings. | this year | 2026-06-01 | 2027-01-31 | This certification will allow MongoDB to properly sell and serve U.S. federal customers, unlocking a significant new market (large TAM) and driving increased revenue from this vertical. | Ticker | MDB (ticker) | MDB_28ffb3cc | 2026-05-28 | earnings_transcript | ||||||||||||||
| EA and other revenue performance in the second half of fiscal '27, with the potential to exceed or fall short of the 'approximately flat' projection due to the unpredictable timing of large multiyear deals. | second half of the year | 2026-08-01 | 2027-01-31 | Exceeding the 'approximately flat' projection would signal stronger-than-expected demand for on-premise/hybrid deployments and large multiyear deals, positively impacting total revenue and investor sentiment. Falling short would be bearish. | Ticker | MDB (ticker) | MDB_6a191a5a | 2026-05-28 | earnings_transcript | ||||||||||||||
| Successful refinement and execution of MongoDB's go-to-market strategy to effectively intercept and scale with AI-native companies, moving them from self-serve to managed accounts. | work in progress | 2026-05-01 | 2027-01-31 | A successful strategy would accelerate customer acquisition and revenue growth from the rapidly expanding AI-native segment, validating MongoDB's product fit and go-to-market efficiency for this critical customer cohort. | Ticker | MDB (ticker) | MDB_ac3a311f | 2026-05-28 | earnings_transcript | ||||||||||||||
| DigitalOcean AI Builder Summit in San Francisco. | October 13 in San Francisco | 2026-10-13 | 2026-10-13 | This event offers a platform to showcase advancements in the AI native cloud, particularly the managed agents layer, which can attract new AI-native customers and strengthen competitive differentiation. | Ticker | DOCN (ticker) | DOCN_cf9a6b7f | 2026-08-04 | earnings_transcript | ||||||||||||||
| Upcoming Q3 2026 (or equivalent fiscal quarter) earnings reports for key consumption-led software companies, providing critical updates on product revenue growth, AI monetization, and forward guidance. | Late October to Mid-December 2026 | 2026-10-29 | 2026-12-15 | These earnings reports offer the most current and comprehensive data on customer consumption patterns, the financial impact of AI adoption, and management's outlook, directly influencing investor sentiment and valuations across the entire theme. | Theme | theme_composer | SNOW, DDOG, MDB, NET, DOCN, TWLO, TOST, SHOP, FSLY, ESTC, FROG, KVYO, AMPL, BRZE, DT | 15 | 0.0151 | 1.18 | 1.0 | 1.0 | 1.7812 | 2026-09-12 | False | 1 | 2.9335 | 346.1564 | Theme composer | ||||
| Dynatrace expects an inflection in Net Retention Rate (NRR) in the back half of fiscal year 2027, driven by a significant increase in DPS contract renewals and continued robust consumption growth. | back half of the year (Fiscal Year 2027) | 2026-11-01 | 2027-03-31 | An NRR inflection indicates stronger customer expansion and retention, which is a key driver for recurring revenue growth and demonstrates the value customers derive from Dynatrace's platform, particularly in log management and AI observability. | Ticker | DT (ticker) | DT_5e05f27b | 2026-08-05 | earnings_transcript | ||||||||||||||
| Effective date for full compliance with transparency obligations under the EU AI Act for artificially generated content. | December 2, 2026 | 2026-12-02 | 2026-12-02 | This regulatory action will drive demand for tools that ensure machine-readable marking and compliance for AI-generated content, impacting Cloudflare's generative AI offerings and those serving EU customers, potentially increasing adoption of its security and developer platforms. | Theme | NET (ticker) | NET_b838626c | 2026-08-06 | earnings_transcript | ||||||||||||||
| Twilio providing its complete full year 2027 financial guidance during its Q4 2026 earnings call. | Q4 '26 earnings call next year | 2027-01-01 | 2027-02-28 | This guidance will set market expectations for Twilio's future growth and profitability, influencing long-term valuation and investor sentiment. | Ticker | TWLO (ticker) | TWLO_b293e1d5 | 2026-02-12 | earnings_transcript | ||||||||||||||
| Expiration of $4.5 billion share repurchase authorization | through March 2027 | 2027-03-01 | 2027-03-01 | With $1.3 billion remaining, the pace of buybacks impacts share count and reflects management's view on the stock's valuation and capital allocation priorities. | Ticker | SNOW (ticker) | SNOW_e0cf2535 | 2025-12-03 |
Market Commentary
| Date | Type | Comment | Detail | Sentiment | Tickers |
|---|---|---|---|---|---|
| 2026-08-12 | Theme Refresh Synthesis | The Consumption-led Pricing theme is strongly validated by accelerating AI workloads, driving significant usage growth for constituents like DigitalOcean (800% inference growth, 50%+ 2027 revenue outlook). However, this growth comes with caveats: persistent consumption volatility, increasing infrastructure investments (CapEx, margin pressure), and stretched valuations across many names, highlighting execution risks despite AI tailwinds. | Market Commentary | Positive with caveats | DOCN, SNOW, DDOG, MDB, NET, TWLO, SHOP, TOST, FSLY |
| 2026-08-25 | Theme Refresh Synthesis | The theme's core thesis of AI-driven consumption growth is strongly validated by recent earnings. DOCN's 800% inference growth and 50%+ 2027 outlook, DDOG's 22x YoY MCP tool calls, and SNOW's accelerating AI product adoption highlight significant tailwinds. However, persistent consumption volatility, rising CapEx for AI infrastructure (DOCN, FSLY, NET), and margin pressures (DDOG, SNOW, SHOP, TOST, NET) remain critical risks. Valuations appear stretched, indicating high expectations. | Earnings Summary | Positive with caveats | DOCN, DDOG, SNOW, MDB, NET, TWLO, SHOP, TOST, FSLY, DT |
| 2026-09-12 | Theme Refresh Synthesis | The theme's core thesis of AI-driven consumption is strongly validated, with constituents reporting exponential AI agent traffic and product adoption. This growth, however, intensifies infrastructure investments and margin pressures. While AI provides significant tailwinds, persistent consumption volatility and stretched valuations remain key risks, necessitating careful execution. | Transcript Summary | Positive with caveats | SNOW, DDOG, MDB, NET, SHOP, TOST, TWLO, DT, ESTC, FROG, KVYO, AMPL, BRZE, DOCN, FSLY |
1 story tagged to this theme — Narrative Radar (NewsAPI.ai) and TimBot picks.
