Deep dive.

Meta Asset Market

The Industrial Metaverse Algorithm Market is defined by asset algorithms, or Digital Twins, needed to represent underlying industrial processes or operations, in which asset algorithms are connected, communicating, and interacting in a broader system or network.  The Industrial Metaverse Algorithm Market is characterized by the ability to build and package, transact, exchange, modify, and utilize Digital Twin asset algorithms in the context of individualized use cases.  The Market is driven by composable Digital Twin algorithm networks in which the output of one Digital Twin becomes the input of the other.  Currently, these capabilities peripherally exist within niche simulation packages, applications, use cases, and platforms.  Currently, Digital Twin algorithm lock-in is high due to being sources of competitive advantage for companies.  

  1. Industrial Metaverse Algorithm Market

  2. Cryptographic Smart Digital Asset Market

  3. Digital Intellectual Property Market

The Industrial Metaverse Algorithm Market contains the following sub-industrial market segments:

  • Digital Twin Market
    The Digital Twin market is characterized by virtual models that are designed to accurately reflect a physical object, with the degree of representation anywhere from a rudimentary approximation - to a high-fidelity copy.  The virtual model can be used to run simulations, study performance issues and generate possible improvements, all with the goal of generating valuable insights — which can then be applied back to the original physical object.  The Digital Twin market consists of everything needed to create, generate, and use a Digital Twin including model algorithm creation via modeling and design tools, packages, analytics, software, and platforms.  The complexity of the toolset required to create the Digital Twin will inform the complexity of the underlying representation to model the physical world.  (What Is a Digital Twin?, n.d.)
    💭Example companies offering products and/or services in this marketspace include both industrial OEMs and technology platform providers: GE, Siemens, AVEVA, TIBCO, AspenTech, IBM, Honeywell, AWS, NVIDIA, Azure, Bentley, etc. 

  • Big Data & Analytics Market
    The Big Data & Analytics market examines large amounts of data to uncover hidden patterns, correlations and other insights.  Big data analytics helps organizations harness their data and use it to identify new opportunities.  That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers.  There’s no single technology that encompasses big data analytics, and as such the market can cover aspects like: cloud computing, data management, data mining, data storage (data lake, data warehouse, data fabric, etc.), large-scale data volume processing, event stream analytics, in-memory analytics, edge analytics, machine learning, predictive analytics, text mining, natural language processing, and data-or-result visualization platforms.  (Big Data Analytics: What It Is and Why It Matters, n.d.)
    💭Example companies offering products and/or services in this marketspace include specialized analytics, democratized data-science platforms, cloud platforms, visualization and business intelligence platforms, large players, and niche players: SAS Viya, Tableau, TIBCO Spotfire, IBM Watson, Alteryx, SAP HANA, Oracle, Google, AWS, Azure, Hadoop, Hortonworks, Apache Spark, Qlik, Databricks, etc.  

  • Industrial Analytics Market
    The Industrial Analytics Market is rooted in the desire to capitalize on the sheer amount of data generated by plant floor or field-based industrial assets, including robots, automation cells, oil rigs, and wind turbines. As manufacturers across industries ramp up digitization efforts, IDC Insights estimates that the typical plant is generating more than a terabyte of data a day with expectations that the number will multiply by a factor between five and 10, depending on industry, over the next five years.  The Industrial Analytics market captures those tools and technologies to assist in providing insights based on industrial data sets, including: analytics tools, packages, software, and platforms.  Industrial Analytics also includes technologies that service data connectivity and data integration from industrial assets, Digital Twin creation, data models, use case templates, etc.  (Stackpole, n.d.)
    💭Example companies offering products and/or services in this marketspace are differentiated by specific industrial segment (i.e. manufacturing, power grid, renewables, operations, etc.) and include: PTC, SAS, Siemens, GE, Rockwell Automation, AVEVA, OSI, etc.

  • Simulation Software Market
    The Simulation Software Market is represented by simulation software based on the process of modeling a real phenomenon with a set of mathematical formulas.  It is, essentially, an application, package or platform that allows the user to observe an operation through simulation without actually performing that operation.  Beyond modeling interactive real-world effects, simulations and simulation software can be used for various optimization schemes - optimizing efficiency, performance, consumption, throughput, etc.  Simulation is used in conjunction with underlying Digital Twin asset algorithm models.  (Simulation Software, n.d.)

    💭Example companies offering products and/or services in this marketspace include: GE, Siemens, Dessault Systemes Solidworks, ANSYS, Autodesk, PTC, Mathworks, Rockwell, ABB, etc.  

  • Enterprise Asset Management Market
    Enterprise asset management (EAM) is a combination of software, systems and services used to maintain and control operational assets and equipment. The aim is to optimize the quality and utilization of assets throughout their lifecycle, increase productive uptime and reduce operational costs.  Enterprise asset management involves work management, asset maintenance, planning and scheduling, supply chain management and environmental, health and safety (EHS) initiatives.  In the Internet of Things era — with everything from valves to vehicles connected by sensors and systems — practitioners are incorporating advanced analytics and artificial intelligence into EAM. Data gathered from instrumented assets is analyzed using AI techniques. The resulting insights help maintenance teams make better decisions, enhance efficiency, perform preventive maintenance and maximize investments in their physical assets.  (What Is Enterprise Asset Management (EAM)?, n.d.)
    💭Example companies offering products and/or services in this marketspace include IBM, UpKeep, SAP ERP EAM, Oracle EAM, Ellipse EAM, etc.  

  • Asset Performance Management Market
    Asset Performance Management (APM) Market encompasses the capabilities of data capture, integration, visualization and analytics tied together for the explicit purpose of improving the reliability and availability of physical assets.  APM includes the concepts of condition monitoring, predictive forecasting, and reliability-centered maintenance (RCM).  Asset performance management platforms are usually enterprise-scale platforms with asset algorithm models to define the performance of individual assets for optimization.  (Definition of Asset Performance Management (APM), n.d.)
    💭Example companies offering products and/or services in this marketspace include GE, Bentley Systems, IBM, ABB, AVEVA, SAP, etc. 

The Cryptographic Smart Digital Asset Market is defined by the packaging of underlying physical or digital objects within cryptographically secured smart contract code in the form of a Non-Fungible Token (NFT).  The encoding of physical or digital objects within smart contracts allows for the unlocking of various value propositions for those underlying objects such as transactability, security, verification, ownership, history, and more.  This Market is currently driven by new emergent use cases in the tokenization of intangible assets such as digital art, digital land, etc.  Furthermore, the Market is driven by platforms that support the underlying creation or minting of NFTs, as well as further transaction or auction of NFTs as well. 

The Cryptographic Smart Digital Asset Market contains the following sub-industrial segments:

  • Cryptographic Asset Digital Portfolio Management & Creation Platforms Market
    The Cryptographic Asset Digital Management Market is largely represented by platforms for the creation and management of a portfolio of cryptographic digital assets.  These platforms enable the creation, or minting, of cryptographic digital assets, or NFTs.  Such platforms have the ability to customize the nature of the NFT to a certain degree based on a limited set of customizable parameters.  Furthermore, such platforms often act as exchange platforms to support transactions or auctions.  Additionally, this market is serviced by companies offering crypto asset management services, parallel to traditional wealth management companies. 
    💭 Example companies offering products and/or services in this marketspace in relation to platforms include OpenSea, CryptoPunks, Rarible, SuperRare, Known Origin, MakersPlace, Solanart, Nifty Gateway, etc.  Example companies offering products and/or services in this marketspace in relation to crypto asset management and portfolio management include Multicoin Capital, Grayscale Investments, Wave Financial, Pantera Capital Management, Systematic Alpha, 10T Holdings, Bitwise Asset Management, Galaxy Digital, BlockTower Capital, etc. 

  • Non-Fungible Token (NFT) Market
    The Non-Fungible Token (NFT) Market is largely represented by platforms for the creation and management of a portfolio of NFTs.  The NFT market is expanding by specific use cases that allow for the tokenization of both tangible real-world assets and intangible assets - allowing for the creation of novel opportunities, business models, and monetization schemes.  NFTs remain on the upward trajectory of the technological adoption curve as serviced predominantly by use cases related to the ownership of digital media and art.  However, emergent companies continue to expand upon the smart contracting features afforded by transactable NFTs. 
    💭 Example companies offering products and/or services in this marketspace include OpenSea, CryptoPunks, Rarible, SuperRare, Known Origin, MakersPlace, Solanart, Nifty Gateway, NBA TopShots, Decentraland, Propy, etc. 

  • Cryptocurrency Market
    The Cryptocurrency Market represents digital assets that use cryptography, an encryption technique, for security. Cryptocurrencies are primarily used to buy and sell goods and services, though some newer cryptocurrencies also function to provide a set of rules or obligations for its holders.  One of the biggest benefits of cryptocurrencies is that they do not involve financial institution intermediaries. Certain cryptocurrencies can confer other benefits to their holders, including limited ownership and voting rights. For example, a cryptocurrency-funded organization can include voting rights in the currency’s software code. Cryptocurrencies could also include fractional ownership interests in physical assets such as art or real estate.  Cryptocurrencies are transacted in exchanges, platforms, stored in wallets, and used for various digital purchases. (Mazer, n.d.)
    💭     Example cryptocurrencies include: Bitcoin, Ethereum, Solana, Helium, etc.  

  1. Industrial Metaverse Algorithm Market

2. Industrial Metaverse Algorithm Market

3. Digital Intellectual Property Market

The Intellectual Property Market is characterized by service providers that offer legal ways and means to protect creations from unauthorized usage, misuse, or infringement.  Services and solutions to protect intellectual property can be represented by trademarks, trade secrets, patents, and copyrights.  

The Intellectual Property Market includes the following sub-industrial segments:

  • Intellectual Property Management Software Market
    The Intellectual Property Management Software Market enables IP owners to efficiently store and protect their intellectual properties under a trademark, copyright, software patent, or trade secret.  It also helps them to streamline access to their intellectual property data.  Patent management software is an administrative software that manages the entire workflow process for patent portfolio managers for allocation of deadlines, reminder alerts for renewals, case document docketing, and due filing and submissions.  Owing to these benefits, the software is widely adopted by various organizations to offer efficient services to their customers. (Intellectual Property Management Software Market Report 2028, n.d.)
    💭 Example companies offering products and/or services in this marketspace include Clarivate, Siemens, Thales, Anaqua, PatSnap, FoundationIP, AltLegal, IPFolio, Decipher, etc.