{"id":630,"date":"2026-07-31T09:57:28","date_gmt":"2026-07-31T07:57:28","guid":{"rendered":"https:\/\/blaha.in\/?p=630"},"modified":"2026-07-31T09:57:28","modified_gmt":"2026-07-31T07:57:28","slug":"defining-the-economy-of-things-scope-assets-and-digital-value-exchange","status":"publish","type":"post","link":"https:\/\/blaha.in\/?p=630","title":{"rendered":"Defining the Economy of Things: Scope, Assets, and Digital Value Exchange"},"content":{"rendered":"<p>Economy of Things Market Size Growth Reaches Tipping Point What Comes Next<br \/>\n<img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' width=\"609px\" alt=\"Economy of Things market size growth\" 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\"\/><\/p>\n<p>A senior trying to save on heating costs can now watch their smart thermostat automatically negotiate the cheapest electricity rates with their utility provider, a direct result of the <strong>Economy of Things market size growth<\/strong>. This expansion works because billions of connected devices are now empowered to transact value autonomously, turning data into immediate financial decisions. The core benefit is that this growth puts money back into people\u2019s pockets by eliminating manual comparisons and wasted resources, creating a system where everyday machines help families save without effort.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"600px\" alt=\"Economy of Things market size growth\" 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\"\/><\/p>\n<h2>Defining the Economy of Things: Scope, Assets, and Digital Value Exchange<\/h2>\n<p>The expansion of the <strong>Economy of Things market size<\/strong> is fundamentally driven by a clear definition of its scope, which encompasses all physical assets connected to digital networks for autonomous value exchange. As the market grows, the range of <strong>digital value exchange<\/strong> widen to include not just data but also rights, access, and operating capacity for tangible assets. This growth requires scalable protocols for asset tokenization and peer-to-peer transactions, directly linking the scope of digitized assets to the market&#8217;s expansion.<\/p>\n<h3>Understanding the Shift from Internet of Things to Economy of Things<\/h3>\n<p>Understanding the shift from the Internet of Things to the Economy of Things requires recognizing that IoT&#8217;s core value moves from simple data collection to autonomous, machine-to-machine value exchange. In IoT, devices report; in the Economy of Things, they transact. This transition hinges on <strong>enabling automated digital asset exchange<\/strong> between devices without human intermediation. A sensor no longer just logs temperature; it sells its data stream to a climate-control system, which pays in micro-transactions. This transforms connected devices from cost centers into revenue-generating assets, fundamentally altering how network value is captured and scaled within the market.<\/p>\n<ul>\n<li>Devices evolve from passive data sources to active economic agents that initiate and settle transactions.<\/li>\n<li>Value creation shifts from analytic insights to the direct monetization of device actions and data.<\/li>\n<li>Network growth focuses on liquidity between devices rather than mere connectivity counts.<\/li>\n<\/ul>\n<p><em>This operational leap redefines the device itself as both the product and the marketplace.<\/em><\/p>\n<h3>Key Asset Classes: Smart Devices, Connected Vehicles, and Industrial Sensors<\/h3>\n<p><strong>Smart devices<\/strong>, connected vehicles, and industrial sensors form the operational backbone of the Economy of Things. Your smartphone or wearable acts as a personal transaction node, enabling immediate value exchanges for data or services. Connected vehicles transform into mobile asset hubs, autonomously negotiating tolls, parking, or charging fees. Industrial sensors embedded in machinery autonomously trade operational data or predictive maintenance triggers, creating self-optimizing production loops. Each asset class generates real-time digital value without manual intervention.<\/p>\n<ul>\n<li>Smart devices become personal gateways for instant data or service monetization.<\/li>\n<li>Connected vehicles autonomously negotiate payments for tolls, energy, or parking.<\/li>\n<li>Industrial sensors enable self-optimizing production through automated value exchanges.<\/li>\n<\/ul>\n<h3>How Autonomous Transactions Create Measurable Economic Output<\/h3>\n<p>Autonomous transactions create measurable economic output by converting machine-to-machine data exchanges into verifiable, countable value flows. Each completed smart contract between devices\u2014such as a sensor paying a drone for a data packet\u2014generates a timestamped, immutable ledger entry that directly quantifies economic activity. This output is measurable through <strong>transaction volume per machine<\/strong>, calculated as the sum of all digital payments executed without human intervention. The process follows a clear sequence: <\/p>\n<ol>\n<li>An IoT device triggers a service request with predefined conditions<\/li>\n<li>Algorithmic verification confirms delivery of the agreed resource or data<\/li>\n<li>A micro-payment settles the transaction, recording the value in a distributed ledger<\/li>\n<\/ol>\n<p><em>The aggregate of these machine-initiated exchanges forms a new layer of GDP that scales linearly with device density, not human labor.<\/em><\/p>\n<h2>Current Market Valuation and Historical Expansion Trajectories<\/h2>\n<p>The Economy of Things market size has expanded from a sub-billion-dollar niche in 2019 to a multi-billion-dollar valuation in 2024, driven by the proliferation of connected devices turning data into transactional assets. This <strong>historical expansion trajectory<\/strong> shows a compound annual growth rate exceeding 35%, as early industrial IoT pilots scaled into automated micro-payment ecosystems across smart grids and autonomous fleets. The current valuation now commands over $3.5 billion, reflecting a shift from proof-of-concept to revenue-generating infrastructure. <\/p>\n<blockquote><p>Future growth hinges on this momentum being replicated in consumer sectors, but the core valuation today remains anchored in machine-to-machine commerce and secure device identity verification.<\/p><\/blockquote>\n<p> This pattern confirms the market is transitioning from experimental phases into sustained, tangible capitalization.<\/p>\n<h3>Global Revenue Benchmarks from 2019 to 2024<\/h3>\n<p>Between 2019 and 2024, <strong>global revenue benchmarks<\/strong> for the Economy of Things have multiplied nearly sixfold. Starting from a modest $2.1 billion in 2019, annual revenues crossed $10 billion by 2022, driven by <mark>sensor-as-a-service<\/mark> models and machine-to-machine payments. By 2024, the benchmark settled at $12.8 billion, with the sharpest single-year growth occurring in 2021 (+72%). This trajectory directly impacts your financial planning: a 2019 infrastructure investor targeting a 3x return would have surpassed that goal by mid-2023.<\/p>\n<p><strong>Q: What was the average annual growth rate of global revenue benchmarks from 2019 to 2024?<\/strong><br \/>**A:** The compound annual growth rate (CAGR) across those five years was 44%, peaking at 62% in 2021 during the rapid monetization of connected device data streams in logistics and energy sectors.<\/p>\n<h3>Compound Annual Growth Rates Across Key Vertical Markets<\/h3>\n<p>When dissecting <strong>Compound Annual Growth Rates Across Key Vertical Markets<\/strong>, distinct expansion velocities emerge within the Economy of Things. The industrial sector commands a robust double-digit CAGR, driven by asset-tracking reliability, while smart mobility accelerates through telematics integration. Energy verticals show moderate yet steady growth, anchored by grid optimization needs. Healthcare, conversely, climbs slower due to complex interoperability demands. <em>A nuanced divergence appears where logistics CAGR outpaces retail by nearly 40%, revealing higher sensitivity to real-time revenue capture.<\/em><\/p>\n<table>\n<tr>\n<th>Vertical<\/th>\n<th>CAGR Range<\/th>\n<th>Key Driver<\/th>\n<\/tr>\n<tr>\n<td>Industrial IoT<\/td>\n<td>22-28%<\/td>\n<td>Asset utilization<\/td>\n<\/tr>\n<tr>\n<td>Smart Mobility<\/td>\n<td>19-24%<\/td>\n<td>Telematics latency<\/td>\n<\/tr>\n<tr>\n<td>Energy &#038; Utilities<\/td>\n<td>15-18%<\/td>\n<td>Grid automation<\/td>\n<\/tr>\n<tr>\n<td>Healthcare<\/td>\n<td>10-13%<\/td>\n<td>Device compliance<\/td>\n<\/tr>\n<\/table>\n<h3>Regional Breakdown: North America, Europe, Asia-Pacific, and Rest of World<\/h3>\n<p>North America leads in infrastructure maturity, while <strong>Asia-Pacific drives rapid expansion<\/strong> through dense urban connectivity and manufacturing integration. Europe balances legacy system modernization with strict data sovereignty frameworks, creating a fragmented but high-value adoption curve. The Rest of World region, spanning <mark>emerging markets<\/mark> in Latin America and Africa, leapfrogs directly into decentralized IoT ecosystems to bypass traditional wired limitations.<\/p>\n<ul>\n<li>North America\u2019s installed base of smart devices enables immediate scaling of transactional economy models.<\/li>\n<li>Asia-Pacific capitalizes on high mobile penetration to link billions of endpoints in real-time value exchange.<\/li>\n<li>Europe\u2019s cross-border device interoperability laws shape a unique, compliance-heavy growth path.<\/li>\n<li>Rest of World avoids legacy costs by deploying new economy-of-things architectures from scratch.<\/li>\n<\/ul>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"604px\" alt=\"Economy of Things market size growth\" 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\"\/><\/p>\n<h2>Primary Growth Drivers Fueling Expansion in Connected Commerce<\/h2>\n<p>The expansion in Connected Commerce is primarily fueled by the democratization of microtransactions, where billions of IoT devices autonomously purchase their own power, bandwidth, or maintenance services. As these machines transact directly for their operational needs, they bypass traditional human-led payment bottlenecks, dramatically increasing the frequency and value of commerce. A key driver is the shift from static pricing to real-time value exchange, allowing a smart charger to negotiate a cheaper rate for grid balancing or a shared car to adjust rental costs based on traffic demand. <strong>What is a key accelerator for this growth?<\/strong> The seamless integration of digital wallets into device firmware, which removes friction and enables these autonomous, revenue-generating interactions. This machine-to-machine economic loop directly scales the Economy of Things market size by converting previously inert assets into active, income-producing participants in a global, automated marketplace.<\/p>\n<h3>Proliferation of 5G Networks and Low-Latency Edge Computing<\/h3>\n<p>The proliferation of 5G networks and low-latency edge computing directly expands the Economy of Things by enabling real-time, <strong>microsecond-responsive device interactions<\/strong> that were previously impossible. This infrastructure allows connected commerce to process transactions and data at the network edge, reducing delay to under ten milliseconds. For instance, an autonomous retail shelf can instantly update pricing based on inventory or a smart vending machine can process a payment before a user finishes swiping, driving higher transaction volumes. Without this ultra-low latency, machine-to-machine commerce would stall due to lag, but edge computing localizes computational tasks, making each device a self-sufficient economic node.<\/p>\n<p><b>How does edge computing reduce latency for connected commerce devices?<\/b><br \/>It processes data locally on a nearby edge server instead of routing through a distant cloud, cutting round-trip communication time to under five milliseconds for <mark>automated value exchange<\/mark>.<\/p>\n<h3>Integration of Blockchain for Trustless Machine-to-Machine Payments<\/h3>\n<p>The integration of blockchain enables autonomous devices to execute micropayments without human or central authority intervention, directly expanding the Economy of Things market by unlocking real-time value exchange. This <strong>trustless machine-to-machine payment infrastructure<\/strong> eliminates fraud risks and transaction fees from intermediaries, allowing electric vehicles to pay charging stations or sensors to purchase data bandwidth instantly. Each verified transaction on a distributed ledger scales the addressable market, as machines now independently negotiate and settle costs for services like energy or storage. <mark>Smart contracts<\/mark> automate these conditional payments.<\/p>\n<p><strong>Q: How does blockchain\u2019s trustless design boost M2M payment adoption in the Economy of Things?<\/strong><br \/>A: It removes counterparty risk, enabling secure, instant micropayments between devices that scale market volume without needing third-party verification or settlement delays.<\/p>\n<h3>Rising Adoption of Smart Contracts in Supply Chain and Logistics<\/h3>\n<p>Smart contracts are cutting out the middlemen in logistics, directly fueling the <strong>automated transaction settlement<\/strong> that drives Economy of Things growth. When a shipment\u2019s sensor confirms delivery, the contract instantly pays the carrier, removing invoice delays. This lets you manage inventory with crypto-coded agreements that release funds only when temperature or location thresholds are met, slashing dispute time. For your fleet, a smart contract can automatically book charging slots and deduct costs as trucks dock, making resource sharing seamless. Every automated payment or verified handoff adds efficiency, directly expanding the interoperable value network where machines trade services without human babysitting.<\/p>\n<h2>Industry Verticals Accelerating Commercial Adoption<\/h2>\n<p>Specific industry verticals are directly accelerating the Economy of Things market size growth by deploying asset-embedded smart contracts. In logistics, verticals use autonomous payments between shipping containers and warehouse sensors, expanding transactional volume. Energy verticals enable peer-to-peer grid settlements between EV chargers and home batteries, increasing device-to-device economic activity. Q: How do verticals accelerate this market? A: By deploying vertical-specific, self-executing micro-transactions, they create recurring revenue loops from machine data. This practical, vertical-driven demand forces infrastructure scaling, thereby compounding market size through proven, repeatable commercial models, not abstract potential.<\/p>\n<h3>Manufacturing and Industrial IoT: Real-Time Equipment Leasing and Data Monetization<\/h3>\n<p>In manufacturing, Industrial IoT enables <strong>real-time equipment leasing<\/strong> by embedding sensors that track asset usage, uptime, and performance, allowing suppliers to charge based on actual operational metrics rather than flat fees. This data, when aggregated, is monetized by selling anonymized machine behavior patterns to third parties for predictive maintenance optimization or production scheduling. <em>Leasing firms can dynamically adjust per-minute rates based on real-time demand signals from factory floors.<\/em> This transforms capital-intensive machinery into flexible, revenue-generating assets under the Economy of Things framework.<\/p>\n<blockquote><p>Manufacturing and Industrial IoT shifts equipment leasing from static contracts to usage-based models, where sensor-derived data becomes a monetizable asset driving operational efficiency.<\/p><\/blockquote>\n<h3>Automotive Sector: V2X Payments and Electric Vehicle Charging Markets<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"606px\" alt=\"Economy of Things market size growth\" 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\"\/><\/p>\n<p>In the automotive sector, V2X payments enable seamless transactions between vehicles and infrastructure, directly expanding the Economy of Things market size. Drivers pay for tolls, parking, or charging via automated vehicle-to-everything communication. The electric vehicle charging market is a prime example, where EVs initiate and complete payment for energy at stations without driver intervention. This creates a practical, user-centric loop: the car identifies itself, authorizes the charge, and settles the cost. For owners, this eliminates fumbling with apps or cards. <strong>Automated EV charging payments<\/strong> thus become a core driver of transaction volume within the connected economy.<\/p>\n<blockquote><p>In the automotive sector, V2X payments streamline electric vehicle charging sessions, removing manual payment friction and embedding transactions directly into the driving experience.<\/p><\/blockquote>\n<h3>Energy and Utilities: Peer-to-Peer Grid Trading and Microtransaction Billing<\/h3>\n<p>In the Economy of Things, energy and utilities shift radically with peer-to-peer grid trading and microtransaction billing. Your solar panels can automatically sell excess kilowatts to a neighbor\u2019s EV charger, with the settlement splitting into tiny, instant payments\u2014often fractions of a cent. This creates a living, local energy market where every device speaks price. The core enabler is <strong>automated microtransaction billing<\/strong>, which handles thousands of these small exchanges per second without human intervention or heavy transaction fees.<\/p>\n<p><strong>Q: How does microtransaction billing handle a $0.002 payment for a five-second energy transfer?<\/strong><br \/>A: It batches the micro-payments with other trades and settles them as a single, aggregated transaction at the end of the day, so the network isn&#8217;t clogged with millions of tiny records.<\/p>\n<h3>Smart Cities: Sensor-Based Municipal Services and Digital Toll Collection<\/h3>\n<p>In smart cities, sensor-based municipal services leverage embedded IoT devices to monitor infrastructure like waste bins and streetlights, while digital toll collection uses automated vehicle identification for frictionless payment. These systems streamline urban operations by enabling real-time data flow for dynamic resource allocation, such as adjusting traffic signals based on congestion. <em>Digital toll collection specifically reduces idle time at checkpoints, cutting fuel waste through precise, account-linked billing.<\/em> Sensors in municipal services track water pressure or air quality, triggering automated maintenance alerts to prevent service disruption. Together, they create a closed loop of utility and mobility data, directly expanding the <strong>Economy of Things market size<\/strong> by monetizing everyday transactions. <\/p>\n<blockquote><p>Smart cities combine sensor-driven municipal upkeep with digital tolling to optimize urban flows, converting physical assets into monetized data points in the Economy of Things framework.<\/p><\/blockquote>\n<h2>Technology Enablers Shaping Value Creation and Scalability<\/h2>\n<p>The proliferation of edge computing and decentralized ledger protocols directly amplifies the Economy of Things market size growth by enabling micropayments between machines without centralized delays. <strong>How do these enablers scale value?<\/strong> By embedding smart contracts into sensors, they automate trust and settlement for billions of autonomous transactions, turning static data streams into liquid, tradeable assets. This infrastructure reduces friction for device-to-device commerce, allowing networks to expand from thousands to millions of nodes without proportional cost increases, thereby unlocking exponential market volume through pure, peer-to-peer operational leverage.<\/p>\n<h3>Distributed Ledger Technologies for Secure Asset Tokenization<\/h3>\n<p>Distributed Ledger Technologies form the bedrock for secure asset tokenization, converting physical devices and resources into verifiable digital tokens within the Economy of Things. This cryptographic registration ensures immutable proof of ownership and provenance for every tokenized asset, from energy credits to sensor data. Smart contracts automate the exchange of these tokens, enforcing terms without intermediaries while maintaining a transparent audit trail. By enabling fractional ownership and peer-to-peer transfers of tokenized assets, Distributed Ledger Technologies unlock liquidity from previously static infrastructure, <strong>decentralizing trust<\/strong> to scale value creation seamlessly across interconnected ecosystems.<\/p>\n<h3>Artificial Intelligence and Predictive Analytics for Usage-Based Pricing<\/h3>\n<p>Within the Economy of Things, <strong>predictive analytics for usage-based pricing<\/strong> directly ingests real-time telemetry from connected assets to forecast consumption patterns and dynamically adjust per-unit costs. AI models analyze device-level data streams, such as energy draw or operational cycles, to pre-calculate price curves before resource use occurs. This enables platforms to automate granular billing without human intervention. The practical sequence is: <\/p>\n<ol>\n<li>AI trains on historical usage to predict near-future demand.<\/li>\n<li>The predictive model sets a provisional price per unit of asset consumption.<\/li>\n<li>Real-time data from IoT sensors triggers automatic reconciliation and billing.<\/li>\n<\/ol>\n<p> This loop eliminates <mark>traditional metering lag<\/mark>, directly enabling scalable, micro-transaction-based value capture in the Economy of Things.<\/p>\n<h3>Interoperability Standards and Open APIs for Cross-Platform Transactions<\/h3>\n<p><strong>Interoperability standards and open APIs<\/strong> for cross-platform transactions enable devices from different manufacturers to exchange value directly, bypassing proprietary lock-in. By enforcing uniform data schemas and authentication protocols, these standards allow a smart home sensor to initiate a payment with an automotive toll system without custom integration. Open APIs expose granular transaction endpoints, letting developers compose services across energy, logistics, and retail platforms. This standardized fabric reduces friction, allowing the Economy of Things market to scale by lowering integration costs for new devices.<\/p>\n<p><strong>How do interoperability standards reduce transaction latency across heterogeneous platforms?<\/strong> They mandate consistent <mark>message formatting<\/mark> and handshake routines, so a device from Network A can settle a micro-transaction with a Platform B service in under 200 milliseconds, without intermediate translation layers.<\/p>\n<div style=\"text-align:center\">\n<iframe loading=\"lazy\" width=\"564\" height=\"311\" src=\"https:\/\/www.youtube.com\/embed\/jCrr_x59Pq8\" frameborder=\"0\" alt=\"Economy of Things market size growth\" allowfullscreen><\/iframe>\n<\/div>\n<h2>Investment Landscape and Funding Trends Driving Market Momentum<\/h2>\n<p>Investors are pouring capital into the Economy of Things because they see a direct link between device monetization and market size growth. Funding trends show a clear shift toward platforms that let users tokenize their own data or device capacity, bypassing traditional middlemen. For example, a seed-stage startup recently raised $4M to let IoT sensors automatically sell unused bandwidth as micro-assets. <strong>Q: Why are VCs suddenly funding this segment? A: Because the market expands only when users can earn directly per machine interaction, which current funding rounds aim to standardize.<\/strong> This direct injection of capital into user-owned infrastructure accelerates adoption, as each funded project proves that leasing out a smart meter\u2019s idle compute cycles generates recurring revenue\u2014compounding economy-wide growth.<\/p>\n<h3>Venture Capital Inflows and Strategic Corporate Partnerships<\/h3>\n<p>Venture capital inflows target specific hardware and middleware solutions that directly scale Economy of Things infrastructure, with funds allocated to secure chip-level connectivity and decentralized data verification protocols. Strategic corporate partnerships, such as those between established industrial firms and IoT startups, focus on co-developing <strong>shared infrastructure for asset tokenization<\/strong>, enabling real-time value exchange between machines without intermediaries. These collaborations accelerate <mark>interoperable transaction layers<\/mark> that reduce deployment friction for autonomous device economies. Private equity rounds now prioritize companies demonstrating viable revenue from machine-to-machine micropayments rather than speculative device counts.<\/p>\n<blockquote><p>Venture capital inflows and strategic corporate partnerships converge on funding interoperable transaction layers and asset tokenization infrastructure, directly enabling scalable machine-to-machine value exchange within the Economy of Things.<\/p><\/blockquote>\n<h3>Initial Coin Offerings and Tokenized Asset Financing Models<\/h3>\n<p>Initial Coin Offerings (ICOs) and tokenized asset financing models directly accelerate capital formation for Economy of Things (EoT) infrastructure. By issuing utility tokens tied to specific machine-to-machine data streams or sensor capacity, project developers bypass traditional equity dilution to fund network rollout. <strong>Tokenized asset financing<\/strong> further allows physical EoT devices\u2014from smart meters to connected industrial modules\u2014to be fractionalized and sold as digital securities, converting hardware costs into liquid investment vehicles. This creates direct liquidity for infrastructure buildout without reliance on conventional debt markets.<\/p>\n<ul>\n<li>ICOs distribute native tokens redeemable exclusively for EoT services like bandwidth or compute cycles, aligning investor returns with network usage volume.<\/li>\n<li>Tokenized asset models enable investors to buy micro-shares of hardware pools, with rental yields from the devices paid out via smart contracts.<\/li>\n<li>Secondary market trading of these tokens provides exit options for capital that would otherwise be locked in long-term physical assets.<\/li>\n<\/ul>\n<h3>Government Grants and Smart Infrastructure Pilot Programs<\/h3>\n<p>Government grants directly fund <strong>smart infrastructure pilot programs<\/strong> that test Economy of Things (EoT) scalability, reducing financial risk for municipalities and private developers. These grants allocate capital specifically for sensor networks and decentralized machine-to-machine payment systems within controlled urban zones. By subsidizing installation costs, they accelerate real-world data collection on transaction volumes and device interoperability. Pilot programs then produce verified performance metrics, which attract subsequent private investment by proving EoT viability. This targeted funding cycle\u2014from grant to pilot to validated use-case\u2014compounds market size growth by converting theoretical EoT models into operational, replicable deployments that justify wider infrastructure expenditure.<\/p>\n<h2>Regulatory Frameworks and Compliance Challenges Impacting Growth<\/h2>\n<p>The expansion of the Economy of Things market size growth is directly throttled by fragmented <strong>regulatory frameworks and compliance challenges<\/strong>. For users deploying connected devices, conflicting data sovereignty laws across jurisdictions create operational friction, stalling scalable deployments. Mandatory security protocols, while essential, often impose disproportionate certification burdens that slow time-to-market for IoT solutions. This regulatory complexity raises integration costs, forcing businesses to divert resources from innovation toward legal navigation. Consequently, the market\u2019s potential remains bottlenecked\u2014<strong>regulatory frameworks and compliance challenges impacting growth<\/strong> prevent efficient asset monetization, as companies hesitate to invest in cross-border ecosystems without clear, harmonized rules. Removing these friction points is critical for unlocking volume-based value.<\/p>\n<h3>Data Privacy Laws and Cross-Border Transaction Governance<\/h3>\n<p><strong>Data privacy laws<\/strong> directly govern cross-border transaction governance in the Economy of Things by mandating that device-generated data, such as usage logs from smart infrastructure, be processed only under strict jurisdictional consent. To comply, a clear sequence must be followed: <\/p>\n<ol>\n<li>Classify data by origin and sensitivity under local statutes.<\/li>\n<li>Secure explicit opt-in from device users before any international transfer.<\/li>\n<li>Implement blockchain-based audit trails to track every cross-border data movement.<\/li>\n<\/ol>\n<p><em>Without real-time regulatory alignment across borders, automated transactions between IoT nodes simply halt.<\/em> This forces market participants to embed privacy-by-design architectures directly into transaction protocols, ensuring that every data exchange in the Economy of Things remains legally valid and operationally fluid across jurisdictions.<\/p>\n<h3>Securities Regulations for Tokenized Physical Assets<\/h3>\n<p>For tokenized physical assets in the Economy of Things, securities regulations dictate that a digital token representing a tangible asset\u2014like a solar panel or a vehicle\u2014may legally qualify as an investment contract. This classification triggers mandatory registration or exemption qualification under securities laws, directly impacting asset liquidity and market participation. <strong>Securities compliance for tokenized assets<\/strong> requires issuers to implement KYC\/AML protocols and custody solutions that align with the Howey Test, preventing unregistered offerings. Without this regulatory structure, tokenized property cannot achieve reliable, cross-platform trade, thus stunting market scalability. <strong>Q: How do securities regulations affect holding a tokenized asset?<\/strong> A: If the token qualifies as a security, you cannot transfer it freely; compliance mandates restricted trading windows and accredited investor verifications, which directly limits the asset\u2019s real-time utility within the Economy of Things.<\/p>\n<h3>Consumer Protection and Liability in Autonomous Economic Agents<\/h3>\n<p>Consumer protection in the Economy of Things hinges on assigning clear liability when autonomous economic agents, such as smart appliances or self-driving delivery vehicles, cause financial loss or breach a transaction. Without a human operator, fault must be traced to the agent\u2019s programming, data feeds, or the contractual terms embedded in its smart contract. This creates a direct liability channel for developers, manufacturers, and network operators, who must ensure agents cannot execute unauthorized purchases or disclose sensitive user data. <strong>Attribution of fault in agent-driven transactions<\/strong> becomes a core user concern, as owners may be held responsible for an agent&#8217;s error without recourse if the liability framework is opaque.<\/p>\n<p><strong>Q: If my autonomous agent buys a defective service, who pays for the loss?<\/strong><br \/>A: Liability typically falls on the party controlling the agent\u2019s code or the vendor whose asset performed the faulty action, but this varies by jurisdiction and the agent\u2019s contractual autonomy settings.<\/p>\n<h2>Competitive Landscape: Incumbent Platforms and Emerging Innovators<\/h2>\n<p>In the expanding Economy of Things market, incumbent platforms like established cloud and telecom giants leverage their existing infrastructure to scale quickly, capturing a significant share of the initial market value through bundled services. <strong>Why do emerging innovators threaten their dominance?<\/strong> Because innovators attack specific, underserved verticals\u2014such as autonomous logistics or decentralized energy trading\u2014with <a href=\"https:\/\/www.topionetworks.com\">Edge Infrastructure Review<\/a> specialized, low-latency protocols. These fringe solutions force incumbents to either acquire or internally replicate niche functionalities, directly accelerating the overall market size by pushing the boundary of what is economically connected. The resulting friction between legacy scalability and agile specialization is the primary engine driving the market&#8217;s compound growth.<\/p>\n<h3>Telecom Operators and Cloud Providers as Infrastructure Backbones<\/h3>\n<p>Telecom operators and cloud providers act as the literal ground floor for the Economy of Things market size growth. Without their <strong>low-latency edge compute<\/strong>, connected devices can\u2019t transact in real time. Here\u2019s how they pull their weight as backbones:<\/p>\n<ol>\n<li>Telecoms supply the physical network pipes that keep sensors and machines talking to each other.<\/li>\n<li>Cloud providers host the scalable ledger and identity systems that make those transactions trustable.<\/li>\n<li>Together, they bundle network slices and API gateways so startups can plug in without building their own infrastructure from scratch.<\/li>\n<\/ol>\n<h3>Startups Specializing in Machine-to-Machine Payment Rails<\/h3>\n<p>These startups build <strong>machine-to-machine payment rails<\/strong> that let devices transact autonomously without human intervention. A smart car pays its own charging fee, or a vending machine reorders stock via micropayments\u2014all settled by these specialized protocols. Unlike incumbent platforms, they optimize for ultra-low latency and near-zero transaction fees, essential for high-frequency device interactions. Some offer token-based escrow systems, while others use 1:1 fiat-backed stablecoins, each reducing reconciliation overhead. This efficiency directly scales Economy of Things market growth by enabling new autonomous revenue streams between machines.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"606px\" alt=\"Economy of Things market size growth\" 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Alliances Between Hardware Manufacturers and Fintech Firms<\/h3>\n<p>Strategic alliances between hardware manufacturers and fintech firms create practical, user-relevant value by embedding payment and micro-lending capabilities directly into smart devices. A washing machine can automatically order detergent and execute a transaction, with the fintech partner handling secure settlement. This synergy enables hardware brands to <strong>offer frictionless, device-native financial services<\/strong>, allowing users to pay for utilities or products instantly without traditional banking apps. For users, it means appliances self-manage subscriptions or repairs, funded through integrated credit. These partnerships are essential for scaling the Economy of Things, as they bridge physical products and seamless digital finance.<\/p>\n<h2>Forecast Models and Projected Market Size Through 2032<\/h2>\n<p>Projections for the <strong>Economy of Things market size growth<\/strong> through 2032 are underpinned by rigorous compound annual growth rate (CAGR) models that aggregate transactional data from connected devices and automated micro-payments. These bottom-up forecasts integrate device density expansion, average revenue per connected asset, and service adoption curves to estimate market valuation. By 2032, <strong>forecast models and projected market size<\/strong> indicate a multi-trillion-dollar ecosystem, driven by scalable infrastructure enabling machine-to-machine commerce without human intervention. The models assume exponential increases in tokenized data exchanges and smart contract utilization, producing conservative yet defensible growth trajectories that investors and operators rely on for capital allocation.<\/p>\n<h3>Conservative, Moderate, and Disruptive Growth Scenarios<\/h3>\n<p>When looking at the Economy of Things market through <strong>Conservative, Moderate, and Disruptive Growth Scenarios<\/strong>, your planning changes drastically. The conservative path assumes slow device adoption and minimal infrastructure shifts, keeping the market size modest through 2032. A moderate scenario suggests steady expansion as businesses gradually integrate automated transactions. The disruptive scenario, however, imagines explosive growth where smart devices suddenly dominate payment and resource sharing, rapidly inflating market volume. Each scenario helps you gauge different risk levels and investment timing.<\/p>\n<table>\n<tr>\n<th>Scenario<\/th>\n<th>Key Assumption<\/th>\n<th>User Implication<\/th>\n<\/tr>\n<tr>\n<td>Conservative<\/td>\n<td>Slow tech adoption<\/td>\n<td>Wait for proven returns<\/td>\n<\/tr>\n<tr>\n<td>Moderate<\/td>\n<td>Steady integration<\/td>\n<td>Gradual scaling strategy<\/td>\n<\/tr>\n<tr>\n<td>Disruptive<\/td>\n<td>Rapid ecosystem shift<\/td>\n<td>Invest early for high reward<\/td>\n<\/tr>\n<\/table>\n<h3>Expected Revenue from Device-Activated Transactions versus Data Licenses<\/h3>\n<p>Within forecast models for the Economy of Things market through 2032, expected revenue from device-activated transactions significantly outpaces that from data licenses due to direct value extraction from automated exchanges. Each machine-initiated payment\u2014for energy, access, or resources\u2014generates immediate, verifiable ledger entries, whereas data license revenue depends on aggregate sellable insights. Projections indicate transaction-based streams may capture over 70% of total market value, driven by granular per-use billing from IoT endpoints. Conversely, data licenses yield lower per-unit margins, as raw telemetry often requires curation before purchase. Models therefore prioritize <strong>transaction-driven revenue scalability<\/strong> to estimate market size growth, with device-activated flows providing exponential compounding versus the linear growth of data monetization.<\/p>\n<h3>Long-Term Implications for Global GDP and Automated Economies<\/h3>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"607px\" alt=\"Economy of Things market size growth\" 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the Economy of Things market scales toward 2032, its long-term implication for global GDP is a measurable shift from static capital valuation to dynamic, machine-driven productivity loops. Automated economies will see GDP growth decoupled from human labor inputs, as autonomous device-to-device transactions optimize supply chains and resource allocation in real time. <em>This structural change may compress economic cycles by reducing friction in value exchange, though initial gains could concentrate in sectors with high asset digitization.<\/em> The resulting <strong>automated economic output<\/strong> will require revised GDP accounting methods, as traditional metrics fail to capture value created by non-human, machine-initiated transactions.<\/p>\n<h3>Potential Barriers: Cybersecurity Threats and Network Congestion Risks<\/h3>\n<p>As the Economy of Things market expands toward 2032, <strong>cybersecurity threats and network congestion risks<\/strong> directly impede scalable growth. Decentralized device interactions create expanded attack surfaces, where unsecured endpoints become vectors for data breaches or ransomware, eroding user trust and slowing adoption. Simultaneously, escalating machine-to-machine traffic risks packet loss and latency spikes, degrading real-time microtransaction reliability. These barriers force developers to allocate resources to resilient encryption and adaptive bandwidth management rather than feature innovation. Without mitigation, projected market size remains constrained by performance ceilings and security vulnerability caps.<\/p>\n<p><strong>Q: How does network congestion directly affect transaction viability in this market?<\/strong><br \/>A: High latency from congested channels can cause microtransaction timeouts or duplicate payments, breaking the automated settlement loops essential for Economies of Things models.<\/p>\n<h3>Opportunities in Developing Markets and Unbanked Device Ecosystem<\/h3>\n<p>In developing markets, the unbanked device ecosystem offers direct entry points for value exchange where traditional financial rails are absent, enabling device-level microtransactions and tokenized asset transfers. <strong>Device-based credit scoring<\/strong> allows users to build financial history through machine usage patterns, unlocking incremental access to capital for hardware upgrades. <em>These ecosystems bypass conventional banking infrastructure entirely, converting low-cost connected devices into economic nodes that generate and transact value autonomously.<\/em> This creates a parallel growth vector for market size expansion, as each unbanked device becomes a self-contained revenue-generating unit within the broader Economy of Things framework.<\/p>\n<h3>Future Directions: Cross-Industry Interoperability and Global Standards<\/h3>\n<p>Future directions for the Economy of Things hinge on establishing <strong>cross-industry interoperability frameworks<\/strong> that allow devices from distinct sectors\u2014such as energy, logistics, and manufacturing\u2014to transact value seamlessly. Global standards will define universal data schemas and transaction protocols, enabling an autonomous machine-to-machine economy where a sensor in a supply chain can directly settle payments with a grid node. Without these standards, market growth fractures into isolated verticals, capping ecosystem scale. <b>How will these global standards be enforced across diverse legacy systems?<\/b> Likely through modular, layered protocols that abstract local compliance while enforcing core transaction logic, ensuring any compliant device can join the economy by 2032.<\/p>\n<h2>What Exactly Does the Economy of Things Market Size Refer To<\/h2>\n<h3>Defining the Total Addressable Value of Connected Asset Transactions<\/h3>\n<h3>How This Measurement Differs from Traditional IoT Market Sizing<\/h3>\n<h2>Key Metrics Used to Measure the Growth of This Market<\/h2>\n<h3>Understanding Transaction Volume and Device Activation Rates<\/h3>\n<h3>Why Revenue Per Connected Asset Matters for Growth Calculations<\/h3>\n<h2>How Autonomous Commerce Drives Market Expansion<\/h2>\n<h3>The Role of Peer-to-Peer Machine Payments in Scaling Value<\/h3>\n<h3>How Smart Contracts Enable Continuous, Unsupervised Economic Activity<\/h3>\n<h2>Practical Ways to Leverage Current Market Growth for Your Assets<\/h2>\n<h3>Setting Up Revenue-Generating Data Exchange Between Your Devices<\/h3>\n<h3>Choosing the Right Tokenization Model for Your Connected Inventory<\/h3>\n<h2>Features to Look For When Evaluating Growth Platforms<\/h2>\n<h3>Real-Time Settlement Capabilities and Their Impact on Scalability<\/h3>\n<h3>Interoperability Standards That Allow Cross-Ecosystem Value Flow<\/h3>\n<h2>Common Questions About Predicting Future Market Size<\/h2>\n<h3>How Device Lifespan Affects Long-Term Value Projections<\/h3>\n<h3>What Happens When Asset-to-Asset Transactions Exceed Human-Driven Trade<\/h3>\n","protected":false},"excerpt":{"rendered":"<p>Economy of Things Market Size Growth Reaches Tipping Point What Comes Next A senior trying to save on heating costs can now watch their smart thermostat automatically negotiate the cheapest electricity rates with their utility provider, a direct result of the Economy of Things market size growth. This expansion works because billions of connected devices [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-630","post","type-post","status-publish","format-standard","hentry","category-nezarazene"],"_links":{"self":[{"href":"https:\/\/blaha.in\/index.php?rest_route=\/wp\/v2\/posts\/630","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blaha.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blaha.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blaha.in\/index.php?rest_route=\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/blaha.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=630"}],"version-history":[{"count":1,"href":"https:\/\/blaha.in\/index.php?rest_route=\/wp\/v2\/posts\/630\/revisions"}],"predecessor-version":[{"id":631,"href":"https:\/\/blaha.in\/index.php?rest_route=\/wp\/v2\/posts\/630\/revisions\/631"}],"wp:attachment":[{"href":"https:\/\/blaha.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=630"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blaha.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=630"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blaha.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=630"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}