{"id":384,"date":"2026-07-31T09:57:15","date_gmt":"2026-07-31T07:57:15","guid":{"rendered":"https:\/\/elternalltag.at\/elternalltag.at\/?p=384"},"modified":"2026-07-31T09:57:15","modified_gmt":"2026-07-31T07:57:15","slug":"defining-the-economy-of-things-and-its-revenue-potential","status":"publish","type":"post","link":"https:\/\/elternalltag.at\/elternalltag.at\/2026\/07\/31\/defining-the-economy-of-things-and-its-revenue-potential\/","title":{"rendered":"Defining the Economy of Things and Its Revenue Potential"},"content":{"rendered":"<p>Economy of Things Market Size Growth Is Happening Faster Than Expected<br \/>\n<img decoding=\"async\" class='wp-post-image' 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>Struggling to see the value in the sea of connected devices around you? The Economy of Things market size growth solves this by letting these smart objects trade their own data and services, turning static sensors into active earners. This expansion works by <strong>creating self-sustaining micro-economies<\/strong> where devices pay each other for resources like bandwidth or storage, so your car can pay a parking meter directly. For users, this growth simply means your smart home becomes an asset, offsetting bills by selling excess energy or unused processing power.<\/p>\n<h2>Defining the Economy of Things and Its Revenue Potential<\/h2>\n<div style=\"text-align:center\">\n<iframe loading=\"lazy\" width=\"565\" height=\"317\" src=\"https:\/\/www.youtube.com\/embed\/FGwdpJrfTec\" frameborder=\"0\" alt=\"Economy of Things market size growth\" allowfullscreen><\/iframe>\n<\/div>\n<p>The Economy of Things defines a network where physical devices autonomously transact value, turning data into direct revenue streams. Its market size grows as each connected object, from a fleet sensor to an EV charger, becomes a micro-enterprise\u2014generating income through micro-payments for its own usage or data. This revenue potential scales not by selling more devices, but by enabling every device to earn continuously. <em>These autonomous micro-transactions compound, transforming passive infrastructure into active, self-funding assets.<\/em> As this model proliferates, the market expands through <strong>recurring revenue from device-to-device payments<\/strong>, not just hardware sales. The true driver of market size is <strong>each object\u2019s ability to generate its own value<\/strong>, creating a self-sustaining economic layer that grows with every new transaction.<\/p>\n<h3>Core Components: IoT, Blockchain, and Machine-to-Machine Transactions<\/h3>\n<p>The core components driving the Economy of Things market are <strong>IoT, blockchain, and machine-to-machine transactions<\/strong>, which form a self-sustaining revenue loop. IoT sensors generate real-time asset data, while blockchain provides an immutable ledger for verifying ownership and automating settlements. Machine-to-machine transactions enable devices to autonomously negotiate and execute payments, eliminating human latency. This trinity unlocks direct value from idle assets, creating a scalable infrastructure where every connected device becomes a revenue node without intermediary fees.<\/p>\n<ul>\n<li>IoT devices collect and transmit granular usage data, acting as the sensory input for monetizable actions.<\/li>\n<li>Blockchain cryptographically secures each machine-to-machine transaction, ensuring trust without a central authority.<\/li>\n<li>Smart contracts on blockchain automate micropayments between machines, enabling real-time revenue splitting.<\/li>\n<li>Machine-to-machine transactions reduce operational overhead by allowing devices to rent, share, or sell access dynamically.<\/li>\n<\/ul>\n<h3>Current Valuation and Projected Market Worth Through 2032<\/h3>\n<p>The current valuation of the Economy of Things market is being established through the tangible monetization of connected device interactions, with early-stage revenue models already proving viable. Projections indicate that by 2032, this market worth will exceed initial estimates, driven by the escalating value of machine-to-machine microtransactions and data exchanges. This trajectory suggests a compound growth that transforms networked assets into direct income streams. The table below delineates the anticipated expansion from a present baseline to the 2032 forecast, emphasizing the <strong>projected market worth trajectory<\/strong> for user assetization.<\/p>\n<table>\n<tr>\n<th>Aspect<\/th>\n<th>Current Valuation Basis<\/th>\n<th>Projected Market Worth 2032<\/th>\n<\/tr>\n<tr>\n<td>Primary Value Driver<\/td>\n<td>Connected device data fees<\/td>\n<td>Autonomous value exchange contracts<\/td>\n<\/tr>\n<tr>\n<td>User Revenue Potential<\/td>\n<td>Limited per-transaction fees<\/td>\n<td>Continuous, programmatic income flows<\/td>\n<\/tr>\n<tr>\n<td>Market Size Indicator<\/td>\n<td>Niche industrial deployments<\/td>\n<td>Ubiquitous consumer and enterprise integration<\/td>\n<\/tr>\n<tr>\n<td>Worth Factor<\/td>\n<td>Hardware-centric valuation<\/td>\n<td>Data- and service-centric valuation<\/td>\n<\/tr>\n<\/table>\n<h3>Key Differentiators from Traditional IoT and Sharing Economy Models<\/h3>\n<p>Unlike traditional IoT, which confines value to a single owner, the Economy of Things embeds <strong>dynamic value exchange<\/strong> directly into devices, enabling them to autonomously negotiate and transact. This shifts from static, centralized sharing economy platforms to decentralized, real-time interactions where a smart car pays a parking meter or a sensor sells data to a drone. Traditional models rely on human input and app interfaces; here, assets become self-sovereign, executing micro-contracts without user mediation, unlocking continuous revenue on idle capacity.<\/p>\n<blockquote><p>The key differentiator is automated, decentralized transactions between devices, replacing human-mediated sharing platforms and static IoT ownership with live, autonomous value flows.<\/p><\/blockquote>\n<h2>Primary Growth Accelerators for Decentralized Device Economies<\/h2>\n<p>The primary growth accelerators for decentralized device economies directly fuel Economy of Things market size growth by unlocking previously idle asset value. Peer-to-peer microtransactions, settled via trustless <a href=\"https:\/\/www.topionetworks.com\">Gavin Whitechurch<\/a> smart contracts, slash transaction overhead, making it viable for billions of low-cost sensors to trade data and compute. Tokenized device identities enable autonomous service markets\u2014a smart meter can instantly sell its bandwidth to a neighboring drone\u2014multiplying use cases. <strong>Q: What single accelerator most boosts market size? A: Programmable value exchange at edge scale, turning each connected device into a self-sovereign economic actor.<\/strong> This compounding utility loops capacity back into the network, driving exponential demand and market expansion without centralized gatekeeping.<\/p>\n<h3>Proliferation of Smart Sensors and Edge Computing Infrastructure<\/h3>\n<p>The proliferation of smart sensors and edge computing infrastructure directly scales the Economy of Things by enabling real-time data processing at the source, reducing latency and bandwidth costs. This local intelligence allows devices to autonomously transact value and negotiate services without constant cloud dependency. By embedding <strong>distributed decision-making capabilities<\/strong> at the network edge, each sensor-equipped node becomes an economic agent, capable of micro-transactions based on immediate environmental data. This infrastructure shift unlocks machine-to-machine commerce for fleets, industrial assets, and smart spaces, as the physical layer now supports secure, low-friction value exchange directly between devices.<\/p>\n<h3>Rise of Tokenized Asset Ownership and Micropayment Ecosystems<\/h3>\n<p>Tokenized asset ownership directly enables devices to hold fractional stakes in themselves or shared infrastructure, unlocking value from idle hardware. This creates a hands-on dynamic where a smart sensor can micropay a neighbor\u2019s router for temporary bandwidth, settling instantly via low-fee token transfers. Every interaction\u2014data relay, energy swap, storage lease\u2014triggers a tiny, automated transaction, knitting devices into a fluid economy without gatekeepers. Users gain liquid ownership of discrete machine outputs, not just permissions. The result is a self-sustaining loop where devices earn and spend continuously, scaling the <strong>device-to-device micropayment mesh<\/strong> on demand.<\/p>\n<blockquote><p>Rise of Tokenized Asset Ownership and Micropayment Ecosystems: machines gain fractional asset claims and execute peer-to-peer microtransactions, forming a programmable, permissionless value exchange layer for decentralized device economies.<\/p><\/blockquote>\n<h3>Enterprise Adoption of Autonomous Data Marketplaces<\/h3>\n<p>Enterprise adoption of autonomous data marketplaces directly accelerates Economy of Things market size growth by enabling firms to monetize machine-generated data streams without manual negotiation. Organizations deploy these self-executing platforms to purchase sensor data from decentralized devices\u2014like fleet telemetry or industrial IoT outputs\u2014for real-time analytics, bypassing traditional data silos. This operational efficiency reduces transaction costs and friction, making device data a scalable, tradable asset. Key to this growth is the <strong>automated value extraction from device ecosystems<\/strong>, where enterprises integrate AI-driven contracts to price and transfer data instantly, unlocking revenue from idle device capacity and driving infrastructure expansion.<\/p>\n<ul>\n<li>Implementing smart contracts for peer-to-peer data licensing between enterprise-owned devices and third-party buyers<\/li>\n<li>Using decentralized identity protocols to authenticate device data provenance and ensure compliance with internal data governance policies<\/li>\n<li>Configuring autonomous agents to negotiate micro-transactions for real-time sensor data across multi-vendor device fleets<\/li>\n<\/ul>\n<h2>Industry Verticals Driving Transactional Volume<\/h2>\n<p>In smart manufacturing, a single assembly line now generates thousands of micro-payments for energy, tooling, and quality data, with each transaction logged before the next component arrives. This <strong>Industry Verticals Driving Transactional Volume<\/strong> creates a dense, continuous flow that expands the Economy of Things market size with every shift. Similarly, within logistics, a fleet of autonomous trucks negotiates and settles charges for road usage, charging station fees, and real-time load balancing across borders, turning miles into monetizable events. As these verticals embed machine-to-machine payments into daily operations, the sheer number of value exchanges\u2014from a factory robot leasing its processing power to a connected vending machine authorizing a perishable restock\u2014directly scales the market, since each transaction adds to the overall volume that defines the Economy of Things.<\/p>\n<h3>Automotive Sector: Connected Vehicles and Usage-Based Insurance<\/h3>\n<p>Connected vehicles generate continuous telemetry data\u2014such as mileage, braking patterns, and location\u2014that directly feeds usage-based insurance (UBI) models. This data stream enables insurers to compute premiums based on actual driving behavior rather than static demographics. For the Economy of Things, each data packet exchanged between vehicle sensors and insurance platforms becomes a billable transaction. A practical sequence unfolds: the vehicle collects driving data, transmits it via embedded connectivity, the insurer\u2019s system analyzes the risk score in real time, and a microtransaction adjusts the premium. Every mile driven under a UBI policy thus increments the transactional volume within the automotive sector, reinforcing <strong>connected vehicle telematics<\/strong> as a core driver of Economy of Things market growth.<\/p>\n<ol>\n<li>Vehicle sensors capture and transmit driving behavior data.<\/li>\n<li>Insurer platforms process telemetry to calculate per-mile or per-event risk.<\/li>\n<li>Microtransactions settle adjusted premiums for each driving segment.<\/li>\n<\/ol>\n<h3>Energy and Utilities: Peer-to-Peer Grid Trading and Metering<\/h3>\n<p>In the Economy of Things, <strong>peer-to-peer grid trading and metering<\/strong> lets households with solar panels sell excess energy directly to neighbors. Your smart meter tracks generation and consumption in real-time, automating payments via smart contracts. This cuts reliance on central utilities, turning passive consumers into active &#8222;prosumers.&#8220; For you, it means lower bills and a resilient local grid where energy flows exactly where needed.<\/p>\n<blockquote><p>Peer-to-peer grid trading and metering empowers you to buy and sell energy locally, making the Economy of Things practical and immediate for daily power use.<\/p><\/blockquote>\n<h3>Smart Cities: Infrastructure Leasing and Real-Time Resource Allocation<\/h3>\n<p>In smart cities, <strong>infrastructure leasing for dynamic resource allocation<\/strong> works like a real-time marketplace for city assets. Instead of buying costly equipment outright, municipal systems can lease parking spaces, energy storage, or street lighting on demand, paying only for actual usage. This shifts capital expenses into operational costs, making urban management more flexible. Real-time allocation adjusts resources\u2014like rerouting power from empty offices to busy transit hubs\u2014based on live data from IoT sensors.<\/p>\n<ul>\n<li>Leasing underutilized assets like EV chargers lets cities scale without upfront purchases.<\/li>\n<li>Real-time allocation moves bandwidth from low-traffic zones to crowded event areas instantly.<\/li>\n<li>Shared infrastructure, like multi-tenant lamp posts, pays for itself through transaction fees.<\/li>\n<\/ul>\n<h3>Supply Chain and Logistics: Asset Tracking as a Service<\/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>Within the Economy of Things, <strong>Asset Tracking as a Service<\/strong> transforms supply chain logistics by monetizing every container and pallet as a revenue-generating node. Real-time visibility prevents inventory shrinkage and optimizes fleet utilization, with each sensor-equipped asset communicating its location and condition autonomously. <em>This granular data flow from individual shipments shifts logistics from a cost center to a direct source of transactional value.<\/em> Tracking subscriptions charge per-asset, per-trip, or per-data-packet, turning routine movements into predictable, recurring revenue streams for logistics providers and shippers alike.<\/p>\n<h2>Regional Market Dynamics and Emerging Hotspots<\/h2>\n<p>Regional market dynamics for the Economy of Things (EoT) reveal that emerging hotspots are directly fueling market size growth by lowering the barrier to entry for decentralized micro-transactions. <strong>High-density urban zones in Southeast Asia and East Africa<\/strong> currently drive the most tangible expansion, as localized device-to-device payment networks create self-sustaining economic loops without reliance on centralized banking. The market size swells specifically in these regions because their existing mobile money infrastructure seamlessly integrates with IoT asset tokenization. <em>A compounding effect occurs where the cost of cross-regional data transmission falls below a critical threshold, enabling surplus device capacity in one hotspot to be algorithmically auctioned to buyers in another.<\/em> Consequently, <strong>Latin American logistics corridors<\/strong> are emerging as secondary hotspots, where dynamic pricing for telemetry bandwidth directly scales the total transactable value of the region\u2019s connected fleet.<\/p>\n<h3>North America Leading through Tech Giants and Regulatory Sandboxes<\/h3>\n<p>Within the Economy of Things market size growth, North America leads by leveraging <strong>tech giants&#8216; scalable infrastructure<\/strong> alongside controlled regulatory sandboxes. These sandboxes allow firms to test real-world device-to-device payments and autonomous machine contracts without full compliance burdens. The sequence involves: <\/p>\n<ol>\n<li>Tech firms deploying proprietary blockchain and IoT networks for asset tracking.<\/li>\n<li>Sandboxes providing limited exemptions to validate cross-platform interoperability.<\/li>\n<li>Successful pilots then informing the development of secure, localized transaction protocols.<\/li>\n<\/ol>\n<p> This reduces time-to-market for new Economy of Things services, directly expanding the addressable user base and transaction volume.<\/p>\n<h3>Europe Pushing with Data Sovereignty and Energy Consortiums<\/h3>\n<p>Europe&#8217;s push with data sovereignty and energy consortiums directly shapes the Economy of Things market by requiring localized data processing for energy transactions. <strong>Regional data governance frameworks<\/strong> mandate that energy consortiums deploy edge-based systems to keep consumption and production data within member states. This drives sequential market growth: first, <em>consortiums must integrate sovereign data lakes before enabling peer-to-peer energy trading<\/em>. <\/p>\n<ol>\n<li>Establish localized data nodes for real-time grid balancing<\/li>\n<li>Deploy federated machine learning models across national energy pools<\/li>\n<li>Implement certified hardware for secure tokenized energy swaps<\/li>\n<\/ol>\n<p> Each step forces infrastructure investment without cross-border data flow reliance, directly increasing Economy of Things device deployments for metering, control, and verification within consortium boundaries.<\/p>\n<h3>Asia-Pacific Scaling via Manufacturing Automation and Urban Mobility<\/h3>\n<p>Asia-Pacific scaling through manufacturing automation and urban mobility directly expands the Economy of Things by embedding sensors into factory robots and smart transit systems. In bustling cities, automated production lines and connected trains create data loops that optimize logistics and reduce downtime for commuters. This practical fusion means your daily commute or factory workflow becomes more efficient as machines and vehicles share real-time updates. <strong>Smart urban transit systems<\/strong> in hubs like Singapore or Tokyo demonstrate how automation fuels larger device networks, growing the market without costly infrastructure overhauls.<\/p>\n<blockquote><p>Asia-Pacific scaling via manufacturing automation and urban mobility means more connected machines and transit, directly boosting the Economy of Things by making everyday factory and city movements smarter and faster.<\/p><\/blockquote>\n<h2>Technological Enablers Reshaping Scalability<\/h2>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"603px\" alt=\"Economy of Things market size growth\" 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\"\/><\/p>\n<p>The proliferation of lightweight, decentralized ledger protocols and edge computing nodes directly enables the Economy of Things market size growth by reducing the transactional overhead of machine-to-machine micropayments. Rather than relying on a central server, these enablers allow millions of devices to autonomously negotiate and settle for bandwidth, energy, or data storage in real-time, removing the bottleneck that previously capped scalability. <strong>Q: How do these enablers prevent network congestion as device count explodes?<\/strong> A: By sharding transaction verification across peer nodes, they ensure that adding more devices increases, rather than saturates, the system\u2019s total processing capacity.<\/p>\n<h3>Blockchain Smart Contracts for Trustless Settlement<\/h3>\n<p>Blockchain smart contracts for trustless settlement let devices in the Economy of Things handle payments automatically without a middleman. Imagine your electric car charging at a public station; the contract instantly verifies energy usage and transfers micro-payments from your digital wallet, all without waiting for bank approval. This instant, verifiable settlement removes friction, enabling millions of tiny transactions between machines daily. <strong>Automated device-to-device payments<\/strong> become reliable, making the system scalable because you don&#8217;t need a central entity to oversee each swap. For example, a <mark>sensor network<\/mark> leasing data can settle fees within seconds.<\/p>\n<ul>\n<li>Automatically executes payments when conditions like energy used or data received are met<\/li>\n<li>Eliminates manual reconciliation, letting machines trade without human oversight<\/li>\n<li>Reduces settlement costs by cutting out third-party processors<\/li>\n<li>Ensures every transaction is immutable and auditable between devices<\/li>\n<\/ul>\n<h3>5G and LPWAN Networks Reducing Latency in Device Commerce<\/h3>\n<p>In device commerce, 5G networks enable sub-millisecond data exchange by using edge computing to process transactions locally, bypassing core network congestion, while LPWANs like NB-IoT reduce latency for low-power devices by minimizing protocol overhead and optimizing wake cycles. This dual approach cuts round-trip delays for micro-payments and inventory updates to under 20 milliseconds. <em>The result is that high-frequency, machine-driven purchases\u2014such as a vending machine reordering stock in real-time\u2014become seamless without human intervention.<\/em> For the Economy of Things, this directly expands transactional throughput, as <strong>ultra-responsive 5G and low-power LPWAN links<\/strong> allow millions of autonomous devices to execute commerce simultaneously without lags that would normally break payment flows or trigger deadlocks in automated supply chains.<\/p>\n<blockquote><p>5G and LPWAN networks reduce device commerce latency by combining high-speed edge processing with efficient low-power signaling, enabling real-time micro-transactions at scale without network bottlenecks.<\/p><\/blockquote>\n<h3>AI-Driven Predictive Pricing and Demand Balancing<\/h3>\n<p>AI-Driven Predictive Pricing constantly adjusts costs for EoT services like shared energy or parking, based on real-time demand and supply data. This balancing acts automatically, preventing grid overload by raising prices during peak usage and lowering them to encourage off-peak consumption. It makes the system <strong>responsive to real-time demand shifts<\/strong>, ensuring resources are used efficiently without manual intervention. Users benefit from fairer, dynamic rates rather than static fees.<\/p>\n<ul>\n<li>Adjusts prices second-by-second based on live network demand.<\/li>\n<li>Encourages users to shift usage to cheaper, low-demand periods.<\/li>\n<li>Prevents infrastructure bottlenecks by naturally distributing load.<\/li>\n<li>Creates a self-regulating market for shared physical assets.<\/li>\n<\/ul>\n<h2>Monetization Models and Revenue Streams in Device Economies<\/h2>\n<p>In the Economy of Things, market size growth is directly driven by scalable <strong>monetization models for device-generated data and actions<\/strong>. Revenue streams shift from simple device sales to recurring, value-based flows such as micro-transactions for sensor reads, usage-based access fees for machinery, and data brokerage where anonymized device telemetry is sold to third parties. As the device base expands, the key insight is that per-device revenue must be decoupled from per-device cost. <\/p>\n<blockquote><p>A viable device economy relies on aggregating millions of low-value, automated micro-payments into high-margin revenue pools, rather than relying on one-time hardware margins.<\/p><\/blockquote>\n<p> This model ensures that as the network grows, each additional device adds incremental revenue from its data or service output, compounding total market value without linear cost increases.<\/p>\n<h3>Subscription-Based Access to Machine-Generated Data Streams<\/h3>\n<p>For device owners, <strong>subscription-based access to machine-generated data streams<\/strong> turns raw sensor outputs into predictable recurring revenue. Instead of selling a single device, you charge a monthly fee for ongoing access to what the device learns\u2014like vibration patterns from industrial motors or traffic flow data from edge cameras. A clear sequence to start looks like this:<\/p>\n<ol>\n<li>Identify a continuous data stream your device produces (e.g., temperature logs).<\/li>\n<li>Package that stream as a tiered subscription (e.g., &#8222;Basic: hourly snapshots&#8220; vs &#8222;Pro: real-time feed&#8220;).<\/li>\n<li>Set up automatic billing and access revocation if payment fails.<\/li>\n<\/ol>\n<p>This model scales directly with how many devices you deploy, since each new unit adds another subscription slot for its data output.<\/p>\n<h3>Transaction Fees on Decentralized Autonomous Organizations<\/h3>\n<p>Within the Economy of Things, Decentralized Autonomous Organizations monetize device interactions by embedding <strong>automated micropayment protocols<\/strong> into every data exchange or resource lease. Each machine-to-machine transaction triggers a pre-programmed fee, which the DAO&#8217;s smart contract splits between the device owner and the collective treasury. This creates a self-sustaining revenue loop where idle sensors or actuators generate value continuously. For users, this means their devices become profit-generating nodes without manual oversight, as fees are deducted and distributed transparently through blockchain execution, ensuring every kilobyte of data or compute cycle contributed actively fuels the DAO&#8217;s operational budget.<\/p>\n<h3>Fractional Asset Ownership and Leasing via Distributed Ledgers<\/h3>\n<p>Distributed ledgers enable <strong>fractional asset ownership and leasing<\/strong> in the device economy by splitting high-value IoT hardware into tokenized shares, allowing users to own or lease only the capacity they need. This model lowers entry barriers: a smart factory can lease partial compute power from idle sensors, while individuals co-own a network of drones for delivery, sharing revenue proportionally. Leasing smart contracts automate payments and usage rights without intermediaries, making underutilized devices generate continuous income.<\/p>\n<p><strong>Q: How does fractional leasing via distributed ledgers increase revenue from underused devices?<\/strong><br \/>\nA: It tokenizes device downtime into leaseable units, allowing multiple parties to pay for short-term access, turning a single asset\u2019s idle periods into multiple, concurrent revenue streams.<\/p>\n<h2>Key Challenges Restraining Full Market Potential<\/h2>\n<p>A primary challenge restraining the full market potential of the Economy of Things is the persistent lack of interoperability between diverse device ecosystems and legacy infrastructure. Without standardized data-sharing protocols, the seamless value exchange required for scalable growth remains fragmented, limiting the network effects that drive market size expansion. This technical friction directly curbs user adoption as the perceived complexity and integration costs outweigh the practical benefits. <strong>Question: What is the most critical interoperability barrier? Answer: The absence of universal communication standards prevents devices from different manufacturers from autonomously transacting value, thereby stalling network expansion.<\/strong> Simultaneously, the high computational and energy demands for real-time microtransactions on constrained edge devices restrict mass deployment, as maintaining reliable, low-latency exchanges at scale is not yet economically viable for many use cases.<\/p>\n<h3>Interoperability Gaps Between Legacy and Smart Infrastructure<\/h3>\n<p>The core friction stifling Economy of Things scaling is the <strong>protocol dead zone between legacy and smart infrastructure<\/strong>. Older building and utility systems speak proprietary languages, often only reading binary on\/off states, while modern IoT devices demand granular data streams and modular commands. A legacy HVAC controller cannot natively interpret a smart occupancy sensor\u2019s request for variable cooling, forcing expensive middleware or manual workarounds. This translation layer adds cost and latency, making seamless unit-to-unit transactions impractical. Every time a smart device must pause to retrofit a translator, the network loses fluid economic potential. <\/p>\n<p><strong>Q: What is the single most practical barrier from these gaps?<\/strong> A: Pervasive semantic friction\u2014legacy assets cannot announce their operational status or accept value-exchange commands, so they are effectively unplugged from the automated transactional mesh.<\/p>\n<h3>Security Vulnerabilities and Sybil Attacks in Autonomous Networks<\/h3>\n<p>Security vulnerabilities in autonomous networks directly throttle Economy of Things market growth by undermining transactional trust. <strong>Sybil attacks<\/strong> enable malicious entities to forge multiple fake node identities, corrupting consensus mechanisms and depleting shared resources. These attacks compromise device authentication, allowing unauthorized data access or service usage without payment. The resulting erosion of reliability forces users to avoid peer-to-peer value exchanges, limiting the network\u2019s operational scale. Without robust identity verification protocols, <mark>autonomous networks<\/mark> cannot guarantee the integrity of microtransactions, stalling adoption among enterprise participants who require assured settlement finality. This technical fragility creates a systemic barrier, as each compromised node threatens the entire trust fabric upon which market expansion depends.<\/p>\n<h3>Regulatory Ambiguity Around Digital Ownership and Cross-Border Data Flows<\/h3>\n<p>Regulatory ambiguity around digital ownership and cross-border data flows directly stifles the Economy of Things market size growth by creating a chilling effect on user adoption. Without clear legal frameworks, a user cannot confidently assert control over data generated by their smart devices, fearing that multinational platforms could exploit jurisdictional loopholes. This uncertainty paralyzes investment in interoperable systems, as businesses hesitate to build infrastructure where the value of cross-border data exchange remains legally contestable. The core barrier is that a device\u2019s operational data is not treated as a transferable asset across borders, breaking the trust loop required for seamless, automated transactions. Until <strong>cross-border data sovereignty<\/strong> is explicitly defined for IoT assets, users face unacceptable risk, not convenience.<\/p>\n<h2>Competitive Landscape and Strategic Partnerships<\/h2>\n<p>The competitive landscape for the Economy of Things is heating up, directly fueling market size growth as companies scramble to secure a piece of the pie. <strong>Strategic partnerships between telecom providers and hardware manufacturers are the primary driver<\/strong>, as they bundle connectivity with physical devices to create seamless user experiences that expand the addressable market. <strong>These alliances allow smaller IoT firms to piggyback on established networks<\/strong>, slashing their go-to-market costs while the larger players gain instant distribution channels. <em>Oddly, the most aggressive market share grabs often come from unexpected cross-industry deals, like utilities teaming with smart appliance makers.<\/em> Without these symbiotic relationships, the market would stagnate\u2014they are the engine scaling the Economy of Things from niche projects into a mass-market reality where every connected object adds transactional value.<\/p>\n<h3>Telecom Operators Integrating Device Billing into 5G Slices<\/h3>\n<p>Telecom operators integrating device billing into 5G slices directly monetizes granular network performance for the Economy of Things. By embedding cost tracking within a specific slice, an operator can charge a smart utility meter a flat fee for <strong>guaranteed low-latency connectivity<\/strong>, while a separate slice for an autonomous vehicle incurrs per-gigabit data charges tied to its specific bandwidth allocation. This per-device billing approach allows operators to capture value from diverse IoT endpoints without managing individual contracts, converting network slices into precise, user-facing cost structures. The practical integration requires synchronizing billing systems with network orchestration to enforce usage limits per slice, ensuring a device consumes only what its slice profile allows and bills accordingly.<\/p>\n<table>\n<tr>\n<th>Integration Aspect<\/th>\n<th>Practical User Application<\/th>\n<\/tr>\n<tr>\n<td>Slice-Bound Metering<\/td>\n<td>Device usage tracked exclusively within its assigned slice, enabling distinct billing for different latency requirements.<\/td>\n<\/tr>\n<tr>\n<td>Billing Enforcement<\/td>\n<td>Network policies block device access if slice credits are exhausted, preventing unapproved overages for the end-user.<\/td>\n<\/tr>\n<\/table>\n<h3>Blockchain Startups Collaborating with Industrial OEMs<\/h3>\n<p>Blockchain startups collaborate with industrial OEMs to embed <strong>decentralized asset verification<\/strong> directly into manufacturing workflows. This partnership enables OEMs to tokenize component provenance, allowing real-time validation of part authenticity across supply chains without intermediaries. Startups provide the ledger infrastructure, while OEMs integrate it into production lines, creating tamper-proof records that reduce counterfeiting and recall costs. Such integrations directly scale the Economy of Things by converting physical machinery into verifiable, tradeable digital assets.<\/p>\n<ul>\n<li>Startups deploy smart contracts that automate OEM warranty enforcement based on sensor-recorded usage data.<\/li>\n<li>OEMs share encrypted production data via startup blockchains to <mark>interoperable<\/mark> service marketplaces.<\/li>\n<li>Joint R&#038;D focuses on low-power IoT consensus protocols suitable for OEM legacy hardware.<\/li>\n<\/ul>\n<h3>Cloud Providers Offering Tokenized IoT Backends as a Service<\/h3>\n<p>Within the Economy of Things market, cloud providers offering tokenized IoT backends as a service directly address scalability by abstracting device-to-ledger communication. These platforms bundle hardware security modules with managed blockchain nodes, enabling enterprises to mint and transfer digital twins without custom infrastructure. <strong>Tokenized IoT backend orchestration<\/strong> handles state synchronization across distributed devices, ensuring that tokenized ownership records update in real-time as physical assets change location or status. <em>This shaves latency from contract execution loops, allowing IoT tokens to function as settlement instruments within multi-party workflows.<\/em> Providers further integrate identity tiers\u2014like AWS IoT Core with token vaults\u2014to enforce access controls on device-generated data streams, making backend tokenization a practical layer for scaling Economy of Things transactions without sacrificing operational continuity.<\/p>\n<h2>Future Trajectories and Value Creation Forecasts<\/h2>\n<p>The <strong>future trajectory of the Economy of Things market hinges on value creation shifting from simple connectivity fees to autonomous asset-liberation models<\/strong>. Market size growth will decouple from device proliferation, instead scaling with the predictive liquidity of underutilized physical assets. <\/p>\n<blockquote><p>Firms will capture exponential value not by adding sensors, but by deploying digital twin economies that foreclose idle capacity before it exists.<\/p><\/blockquote>\n<p> This forecast predicts that by 2030, over half of market capitalization will derive from algorithmic reallocation of storage, compute, and logistics space, where each unit\u2019s economic output multiplies without proportional hardware expansion.<\/p>\n<h3>Projected Compound Annual Growth Rate Through 2035<\/h3>\n<p>Through 2035, the Economy of Things market is projected to sustain a <strong>consistent double-digit CAGR<\/strong>, with estimates converging around 18\u201322% annually. This rate implies a market value exceeding $5 trillion by the target year, driven purely by monetized device-to-device transactions and autonomous asset exchanges. The growth trajectory assumes no regulatory pivots, relying instead on existing sensor density and edge-computing maturation.<\/p>\n<p><b>Q: What CAGR range is forecast for the Economy of Things through 2035?<\/b><br \/> Forecasts center on an 18\u201322% compound annual rate, yielding a market size above $5 trillion by 2035.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"601px\" alt=\"Economy of Things market size growth\" 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of Quantum Computing on Secure Device Transactions<\/h3>\n<p>Quantum computing directly reshapes <strong>secure device transaction resilience<\/strong> within the Economy of Things by shifting authentication from static keys to quantum-resistant algorithms. Devices will soon execute post-quantum cryptographic handshakes in milliseconds, eliminating vulnerability to Shor\u2019s algorithm. This forces a three-stage transition: <mark>quantum-safe<\/mark> key generation, real-time entropy validation, and lattice-based signature verification. Without this upgrade, every connected transaction becomes exponentially easier to decrypt. The market firming its growth trajectory depends on these integrity guarantees; a compromised device chain collapses value creation. Thus, quantum computing doesn\u2019t just protect transactions\u2014it makes autonomous, high-value device transactions viable at scale.<\/p>\n<h3>Evolution from Human-Mediated to Fully Autonomous Economic Agents<\/h3>\n<p>The shift from human-mediated oversight to fully autonomous economic agents redefines value creation within the Economy of Things. Initially, machines execute simple transactions under human rule-sets; evolution enables these agents to independently negotiate, allocate resources, and settle micropayments using decentralized trust protocols. This progression removes latency and human bias from routine commerce, allowing devices to optimize supply chains and energy grids in real time. The critical inflection point occurs when agents learn from market feedback to adjust pricing or inventory without approval, unlocking compound efficiencies. As autonomy scales, each connected asset becomes a self-directed profit center, directly expanding the addressable market size for machine-to-machine economies.<\/p>\n<blockquote><p>Evolution from human-mediated to fully autonomous economic agents shifts device roles from passive tools to proactive market participants, enabling real-time, trustless value exchange that scales market size through compound operational efficiencies.<\/p><\/blockquote>\n<h2>Understanding the Core Drivers Behind the Economy of Things Market Expansion<\/h2>\n<h3>How Machine-to-Machine Transactions Fuel Market Valuation Growth<\/h3>\n<h3>What Role Does Data Monetization Play in Scaling the Ecosystem<\/h3>\n<h2>Key Features That Define the Economy of Things Market Structure<\/h2>\n<h3>Autonomous Payment Capabilities as a Growth Accelerator<\/h3>\n<h3>Smart Contract Integration for Seamless Value Exchange<\/h3>\n<h3>Real-Time Asset Tracking Infrastructure Benefits<\/h3>\n<h2>Practical Ways Users Can Leverage This Market Increase<\/h2>\n<h3>Steps to Connect Devices for Revenue Generation<\/h3>\n<h3>Choosing the Right Platform for Your Asset Network<\/h3>\n<h2>Benefits You Gain from Participating in a Growing Economy of Things Framework<\/h2>\n<h3>Reduced Operational Costs Through Automated Billing<\/h3>\n<h3>New Income Streams from Idle Device Capacity<\/h3>\n<h2>Common User Questions About Measuring This Market\u2019s Scale<\/h2>\n<h3>How to Estimate the Value of Your Connected Asset Portfolio<\/h3>\n<h3>What Metrics Indicate a Healthy Market Share Growth for Your Devices<\/h3>\n","protected":false},"excerpt":{"rendered":"<p>Economy of Things Market Size Growth Is Happening Faster Than Expected Struggling to see the value in the sea of connected devices around you? The Economy of Things market size growth solves this by letting these smart objects trade their own data and services, turning static sensors into active earners. This expansion works by creating&#8230;<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-384","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/elternalltag.at\/elternalltag.at\/wp-json\/wp\/v2\/posts\/384","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/elternalltag.at\/elternalltag.at\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/elternalltag.at\/elternalltag.at\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/elternalltag.at\/elternalltag.at\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/elternalltag.at\/elternalltag.at\/wp-json\/wp\/v2\/comments?post=384"}],"version-history":[{"count":1,"href":"https:\/\/elternalltag.at\/elternalltag.at\/wp-json\/wp\/v2\/posts\/384\/revisions"}],"predecessor-version":[{"id":385,"href":"https:\/\/elternalltag.at\/elternalltag.at\/wp-json\/wp\/v2\/posts\/384\/revisions\/385"}],"wp:attachment":[{"href":"https:\/\/elternalltag.at\/elternalltag.at\/wp-json\/wp\/v2\/media?parent=384"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/elternalltag.at\/elternalltag.at\/wp-json\/wp\/v2\/categories?post=384"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/elternalltag.at\/elternalltag.at\/wp-json\/wp\/v2\/tags?post=384"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}