Digital Ecosystem: 2026 Guide to Business Networks

Learn how digital ecosystems create value through interconnected platforms, apps, and services in 2026. Discover types, benefits, and real examples.

The digital world isn’t just a collection of isolated websites and apps anymore. It’s evolved into interconnected webs where products, services, and platforms work together to create something bigger than their individual parts.

These digital ecosystems bring together information technology resources—from apps to data platforms—that enable collaboration and data exchange. When businesses tap into these networks, they unlock access to new customers and revenue streams that would be impossible to reach alone.

Understanding how digital ecosystems work can transform how you participate in and benefit from the digital economy. This guide shows you how to identify ecosystem opportunities, understand different models, and develop strategies to leverage these powerful business networks.

What is a digital ecosystem?

A digital ecosystem is a network of interconnected information technology resources—websites, apps, devices, and data—that work together to enable activities like online shopping, education, and business operations.

Digital ecosystems operate through both internal and external collaboration. Some companies build in-house ecosystems by integrating the software and tools they use for daily operations. This internal approach streamlines workflows and enables seamless data exchange between departments.

But digital ecosystems often extend beyond company walls. They connect businesses, partners, and customers in ways that benefit everyone involved. Take the Apple App Store—it brings together millions of app developers with iPhone users worldwide. This multicompany approach doesn’t just create convenience, it generates entirely new business models and opportunities that wouldn’t exist in isolation.

Digital ecosystem definition

A digital ecosystem is a network of connected technologies and participants that exchange value through standards like APIs. 

At its core, a digital ecosystem mirrors biological ecosystems in key ways: both feature interdependent participants, evolve through natural selection, and create value through complex interactions. Just as plants, animals, and microorganisms depend on each other in nature, digital participants—from platforms to apps to users—rely on mutual exchange to thrive.

A digital system is made of three critical elements: the technological infrastructure (APIs, cloud services, data protocols), the participant network (businesses, developers, users), and the value exchange mechanisms (transactions, data sharing, service delivery). These elements work together through self-organization, meaning the ecosystem adapts and grows without centralized control.

How digital ecosystems evolved

Digital ecosystems didn’t emerge overnight—they evolved from isolated computer systems into today’s interconnected networks. 

In the 1960s, mainframe computers ran proprietary software, stored data in closed formats, and required specialized knowledge to operate. The internet’s commercialization in the 1990s broke these silos, and businesses began connecting their systems through standard protocols like HTTP and TCP/IP. Platforms like eBay and Amazon showed that bringing together buyers and sellers at scale could be more valuable than selling products directly—laying the groundwork for ecosystem thinking.

The smartphone revolution of 2007 marked the next major leap. Mobile app stores created the blueprint for modern digital ecosystems: a central platform, standardized development tools, and revenue-sharing models that encouraged collaboration. Within a few years, app stores were attracting vast communities of developers and users, creating value that no single company could generate alone.

Today’s ecosystems extend far beyond app stores. They encompass AI services, Internet of Things (IoT) devices, blockchain networks, and edge computing—all working together through sophisticated APIs and data protocols. The global digital transformation market size was estimated at $911.2 billion in 2024 and is projected to reach $3.28 trillion by 2030 (a combined annual growth rate, or CAGR, of 23.9%), showing how essential digital ecosystems have become to modern business.

How digital ecosystems work

Digital ecosystems work through a delicate balance of technology, governance, and value exchange. Understanding their mechanics helps you identify opportunities to participate in an existing ecosystem, or create your own.

Key components and architecture

Every digital ecosystem rests on key components that enable seamless interaction:

1. APIs and integration layers form the nervous system, allowing different services to communicate. Think of APIs as universal translators—they let a payment processor talk to an inventory system, which talks to a shipping provider, all without human intervention. 
2. Data infrastructure acts as the ecosystem’s memory and intelligence. Cloud databases store transaction histories, user preferences, and behavioral patterns. Data lakes aggregate information from multiple sources, while analytics engines extract insights that benefit all participants. This shared intelligence helps ecosystems learn and improve over time.
3. Identity and access management ensures security while enabling seamless movement between services. Single sign-on (SSO) lets users access multiple platforms with one login, while OAuth protocols allow services to share specific data without exposing passwords. This balance of convenience and security builds the trust ecosystems need to thrive.
4. Payment and value exchange systems handle the economics. Whether processing credit cards, managing subscriptions, or distributing revenue shares, these systems must work flawlessly across borders and currencies. Smart contracts increasingly automate these exchanges, reducing friction and enabling new business models.
5. Governance frameworks establish the rules of engagement. They define data ownership, set quality standards, resolve disputes, and ensure regulatory compliance. Without clear governance, ecosystems can devolve into chaos or become dominated by single players who extract unfair value.

Digital ecosystem mapping framework

Mapping your digital ecosystem helps you see how value, data, and relationships move across the network of participants that power your business. The framework below outlines a practical way to identify key players, uncover dependencies, and spot opportunities for growth. It’s designed to help you understand your target ecosystem from a strategic perspective—so you can decide where to participate, where to lead, and where to innovate.

Map direct competitors, complementary services, suppliers, distributors, and end users. For each participant, document what they contribute (data, services, users) and what they extract (revenue, insights, market access).

Next, trace the value flows between participants. Where does money move? How does data travel? Which connections generate the most value? Look for bottlenecks where single players control critical resources—these represent both risks and opportunities for disruption.

Then, analyze the technical connections powering these relationships. Which APIs are public versus private? What data standards does the ecosystem use? Understanding the technical architecture reveals how deeply integrated participants are and how difficult it would be to replicate or replace certain services.

Finally, assess ecosystem health through network effects. Strong ecosystems become more valuable as they grow—each new participant benefits existing members. Weak ecosystems do the opposite, with growth creating congestion or reducing quality. This analysis helps you choose ecosystems worth joining versus those to avoid.

Benefits of digital ecosystems

Digital ecosystems deliver concrete advantages for both businesses and their customers. Companies access new markets, streamline their operations, and build interconnected product systems through strategic partnerships. Meanwhile, users get seamless experiences that save time and eliminate friction.

Let’s examine the benefits that make digital ecosystems essential for modern business:

Enhanced user experience

Digital ecosystems eliminate the pain points that frustrate users. Consider a fitness tracker that automatically syncs with your smartwatch, meal planning app, and music streaming service. Instead of manually entering data across multiple apps, everything connects automatically. You track workouts, monitor nutrition, and queue up your workout playlist—all through one integrated platform that just works.

Multicompany partnerships

Digital ecosystems open doors to partnerships that benefit everyone involved. Picture a ride-sharing app partnering with a concert venue and ticketing platform. Concertgoers who book through the ticketing app get discounted rides to and from shows.

Each participant gains something valuable: the ride-sharing app acquires new riders, the venue sells more tickets, and the ticketing company adds value for its users. These partnerships slash customer acquisition costs while delivering real benefits—discounted rides and a frictionless experience—to the people who matter most: your customers.

Streamlined operations

When businesses share data within digital ecosystems, operations become smarter and more responsive. An ecommerce platform integrated with a logistics network can tap into real-time shipping data to suggest the fastest delivery options and provide accurate tracking. This data exchange doesn’t just improve efficiency—it enables the kind of personalized service customers now expect.

Business value creation

Digital ecosystems spark innovation by letting partners combine their strengths in unexpected ways. When ecosystem partners pool their capabilities, they create products and services neither could build alone—opening revenue streams that didn’t exist before.

Network effects and scalability

The true power of digital ecosystems lies in how network effects fuel its growth. Each new participant makes the ecosystem more valuable for everyone else. When a developer adds a new app to a platform, users gain new features. When users join, developers gain new customers. 

Scalability is what makes this growth so powerful. Digital ecosystems can grow from hundreds to millions of users without large increases in infrastructure costs. The platform provider handles core services, while ecosystem partners deliver specialized features. This shared model lets ecosystems reach new markets quickly and evolve faster than traditional business structures.

Consider how payment ecosystems work. As more merchants accept a digital wallet, more consumers adopt it. As consumer adoption grows, more merchants feel compelled to accept it. The ecosystem scales organically, with each participant’s success reinforcing the whole network’s growth.

Types of digital ecosystems

Not all digital ecosystems are created equal. They range from simple, single-company setups to vast networks that shape entire industries. Understanding these distinctions helps you choose the right model for your business:

Functional digital ecosystems

Functional digital ecosystems form around a specific product, service, or function. They connect the tools, data, and services that support one core activity—creating a seamless user experience across related solutions. 

For example, a photo editing ecosystem might link editing software with cloud storage and a stock photo library. Photographers get everything they need in one place, without juggling multiple subscriptions or wrestling with compatibility issues.

Platform ecosystems

Platform ecosystems take collaboration to the next level. Multiple companies work together on a central platform, creating value none could deliver alone. The platform becomes the stage where different players interact and exchange data through interconnected technology resources.

Shopify demonstrates this ecosystem model in action. The platform manages store creation, payments, and customer interactions, while merchants, app developers, and designers supply stores, tools, and services. The collaboration expands what each participant can offer on their own: merchants gain flexibility across a variety of apps and integrations, developers and partners reach a global audience, and the platform continues to evolve through shared innovation. 

Super platform ecosystems

Super platform ecosystems are the giants that have reshaped how we live and work. These sprawling networks encompass multiple platforms, services, and devices, becoming the default choice for millions of users worldwide.

Amazon exemplifies this scale. What started as an online marketplace now includes cloud services, payment processing, and streaming platforms like Prime Video and Amazon Music. This comprehensive ecosystem doesn’t just offer convenience—it becomes the foundation other businesses rely on, influencing how entire industries operate.

Digital ecosystems

Digital ecosystems transform traditional industries by infusing existing products or services with connective digital capabilities. These ecosystems don’t just digitize existing workflows—they reimagine entire value chains through technology.

Health care provides a compelling example. Digital health ecosystems connect patients, doctors, insurers, pharmacies, and medical device manufacturers through integrated platforms. Digital patient portals allow for secure messaging with your doctor, appointment scheduling, sharing your electronic health records across providers, pharmacy orders, and more. 

Manufacturing showcases another digital model through Industry 4.0 ecosystems. Smart factories connect suppliers, production equipment, quality control systems, and logistics partners in real-time. When a sensor detects a potential equipment failure, the ecosystem automatically orders replacement parts, schedules maintenance, adjusts production schedules, and notifies customers of potential delays. This predictive coordination prevents costly downtime while maintaining service levels.

The distinguishing feature of digitizer ecosystems is their bridge between physical and digital worlds. They use tools like IoT sensors, AI analytics, and automation to create feedback loops that continuously optimize real-world processes based on digital insights.

How to build a digital ecosystem strategy

Building a digital ecosystem strategy starts with understanding where your business fits and how you can create value for others. Whether you’re joining an existing network or creating your own, the steps below can help you plan, implement, and manage your approach with confidence.

Assessment and planning

Start your ecosystem journey by honestly evaluating your current position and capabilities. This assessment lays the foundation for everything that follows.

1. Map your existing digital assets and relationships. What platforms do you already use? Which partners do you work with? What data do you generate? Understanding your starting point helps you spot both strengths to leverage and gaps to fill. For example, a retail business might discover they have rich customer data but lack the analytics tools to turn it into insights—showing an opportunity to partner with ecosystem partners who can help.
2. Define your ecosystem objectives. Are you looking for new revenue streams, more efficient operations, or to expand your market? Clear goals help you evaluate ecosystem opportunities. A B2B software company might target ecosystems that provide access to enterprise customers, while a consumer brand might prioritize ecosystems offering direct customer engagement.
3. Analyze potential ecosystem partners through three lenses: strategic fit, technical compatibility, and cultural alignment. Strategic fit means their goals complement yours without direct competition. Technical compatibility ensures your systems can integrate without massive rebuilding. Cultural alignment is often overlooked, but critical; it determines whether you can work together effectively over the long term.
4. Assess the competitive landscape within target ecosystems. Who are the dominant players? What positions remain open? Where could you add unique value? Sometimes the best strategy involves joining multiple ecosystems in different roles rather than betting everything on one.

Implementation steps

Moving from strategy to action is about finding a balance between minimizing risk and maximizing learning opportunities.

1. Begin with a pilot program that tests your ecosystem hypothesis. Choose one starting point for your first integration, like a specific use case, region, or product line. This small-scale test helps you confirm assumptions, uncover technical challenges, and refine your approach before investing heavily. Track key metrics such as integration costs, time to value, customer response, and operational impact.
2. Build your technical foundation incrementally. Start with basic API integrations that let your systems share data. Then add authentication and security layers, followed by monitoring and analytics to track how your ecosystem is performing. Once these fundamentals work smoothly, you can move on to more advanced features like real-time syncing or automated workflows.
3. Develop your ecosystem partnerships gradually. Begin with low-risk, high-value connections—like integrating with a complementary service your customers already use. As you gain experience and credibility, you can pursue more strategic partnerships that might require deeper integration or revenue sharing agreements.
4. Create feedback loops that help you improve continuously. Monitor how customers use ecosystem features. Track which integrations generate the most value, and listen to partner feedback about collaboration challenges. Use these insights to refine your ecosystem strategy and identify new opportunities.

Governance and management

You’ll need effective governance to take your digital ecosystem strategy from a technical project into a sustainable competitive advantage.

1. Establish clear data governance policies from day one. Define what data you’ll share, with whom, and under what conditions. Create audit trails that track data movement, and implement privacy controls that comply with government regulations. These policies protect your business while building trust with ecosystem partners.
2. Develop service level agreements (SLAs) that set performance expectations. What uptime should partners expect? How quickly will you respond to integration issues? What happens if systems fail? Clear SLAs will ensure all parties understand their responsibilities and prevent disagreements.
3. Create dedicated ecosystem management roles. Choose technical leads to handle integration challenges. Bring on business development managers to nurture partner relationships. Establish governance committees that make strategic decisions about your ecosystem. With these roles in place, your ecosystem can thrive without adding pressure to already-overloaded teams.
4. Plan for ecosystem evolution and potential exit strategies. Technology changes, business models shift, and partnerships evolve, so be sure to build flexibility into your agreements. Maintain data portability and avoid vendor lock-in, where possible. The ability to adapt or exit gracefully protects your business as ecosystems mature.

Roles in a digital ecosystem

Companies don’t just join digital ecosystems—they take on roles that shape how the entire network operates. Understanding these roles helps you spot the right opportunities and partnerships to move your business forward.

Consumer

Consumers tap into the ecosystem’s resources to power their own operations. A small marketing agency, for instance, might rely on a cloud-based design platform and social media management tools within a larger ecosystem. These integrated tools let them deliver professional work without building everything from scratch.

Producer

Producers are the builders—creating products and services that make the ecosystem valuable. They develop specialized tools that plug seamlessly into existing platforms, enhancing what’s already there. Think of a software company building a project management tool specifically designed to work with popular chat and video conferencing platforms. Their contribution makes the entire ecosystem more powerful.

Orchestrator

Orchestrators run the show. They provide the infrastructure, manage data flows, and set the rules that keep everything running smoothly. These central hubs facilitate business intelligence and ensure all participants can connect and exchange value. Social media platforms like Facebook orchestrate massive ecosystems, enabling millions of producers—from small businesses to major brands—to reach and engage with consumers worldwide.

Enabler

Enablers provide the critical services and infrastructure that allow ecosystems to function, without necessarily being the central platform. Payment processors, cloud service providers, and API management platforms fall into this category. They might work across multiple ecosystems simultaneously, providing the technical backbone that makes digital collaboration possible.

Think about how Stripe enables thousands of digital ecosystems by handling payment processing. It doesn’t control the ecosystems or dictate their rules, but Stripe’s service is essential for value exchange. Similarly, content delivery networks (CDNs) enable ecosystems to send data globally at high speed, while identity providers handle authentication across multiple platforms.

The enabler role offers unique advantages: you can participate in multiple ecosystems without locking yourself into exclusive commitments, expand your reach across industries, and strengthen your position through technical excellence. Many successful enablers eventually integrate platforms and services to become orchestrators themselves.

Digital ecosystem examples and case studies

Real-world digital ecosystems show how different models create value across industries. These examples highlight just how many ways businesses can build and scale successful ecosystems.

Successful B2C ecosystems

Consumer-facing ecosystems have transformed how people shop, communicate, and entertain themselves. Their success stems from removing friction while adding value at every interaction.

Apple’s ecosystem showcases the power of seamless integration. Beyond the App Store’s 1.9 million apps, Apple connects devices (iPhone, iPad, Mac, Apple Watch), services (iCloud, Apple Music, Apple Pay), and accessories (AirPods, HomePod) into a unified experience. You can start writing an email on your iPhone and finish it on your iPad, or unlock your MacBook with your Apple Watch. This integration creates switching costs that keep customers loyal, because leaving means losing these conveniences.

WeChat demonstrates a different model: the super app ecosystem. While it started as a messaging platform, WeChat now encompasses payments, shopping, transportation, government services, and mini-programs (lightweight apps that run inside WeChat). With more than 1.3 billion users, WeChat has become the operating system for daily life in China. Businesses build their entire digital presence within WeChat rather than creating standalone apps, and users rarely need to leave the ecosystem for any digital service.

B2B and enterprise ecosystems

Business ecosystems focus on operational efficiency, data insights, and optimizing the value chain. They usually often involve fewer participants but build deeper, more integrated relationships.

Salesforce’s ecosystem extends far beyond customer relationship management (CRM) software. More than 4,000 apps integrate with Salesforce’s core platform through their AppExchange marketplace. Partners like DocuSign handle contracts, Tableau provides analytics, and Slack enables communication—all sharing data seamlessly. The ecosystem also includes implementation consultants, training providers, and industry-specific solutions. This network effect makes Salesforce increasingly valuable as businesses add more connections.

Microsoft’s ecosystem demonstrates how traditional software companies transform into ecosystem orchestrators. Microsoft 365 connects productivity tools (Word, Excel, Teams) with cloud infrastructure (Azure), development platforms (GitHub), and business applications (Dynamics). Third-party developers extend functionality through APIs and marketplaces. The ecosystem spans from individual users to enterprise IT departments, creating multiple revenue streams and deep customer relationships.

Emerging ecosystem models

New technologies and business models are creating innovative ecosystem types that challenge traditional boundaries.

Blockchain ecosystems like Ethereum enable decentralized applications (dApps) without central control. Developers build smart contracts that execute automatically, creating services for finance (DeFi), gaming, and digital art (NFTs). The ecosystem is governed by its community rather than a single company. People who contribute computing power or liquidity help keep it running, and earn tokens in return.

IoT ecosystems connect physical devices to digital services, creating new value from everyday objects. Smart home ecosystems like Google Home or Amazon Alexa integrate thermostats, lights, security cameras, and appliances from hundreds of manufacturers. These ecosystems compete on compatibility—the more devices they support, the more valuable they become to consumers.

Industry-specific ecosystems are emerging to address unique sector needs. In agriculture, John Deere’s ecosystem connects farm equipment, weather data, soil sensors, and crop management software. Farmers optimize planting, fertilization, and harvesting based on real-time data from across their operation. The ecosystem includes equipment manufacturers, ag-tech startups, and agricultural advisers, all working together to increase crop yields while reducing resource use.

Ecosystem challenges and future trends

While digital ecosystems offer tremendous opportunities, they also present risks and challenges that require careful navigation. Understanding these pitfalls—and where ecosystems are headed—will help you develop an ecosystem strategy that remains relevant.

Common pitfalls to avoid

Ecosystem participation can fail for predictable reasons, but recognizing these patterns helps you sidestep costly mistakes.

• Over-dependence on single ecosystems makes you vulnerable. When algorithm changes, policy updates, or platform pivots can destroy your business overnight, you’re not building on solid ground. Diversify across multiple ecosystems, maintain direct customer relationships, and always have contingency plans.
• Underestimating integration complexity derails many ecosystem strategies. What looks simple in demos becomes complicated when dealing with legacy systems, data inconsistencies, and edge cases. It’s a good idea to budget twice the time and resources you initially estimate for integration. You should also build strong protocols for handling errors and test extensively before going live.
• Ignoring ecosystem politics can lead to unwelcome surprises. Every ecosystem has power dynamics, competing interests, and unwritten rules. That complementary partner might become a competitor. The orchestrator might launch features that obsolete your service. Stay alert to shifting relationships and have strategies for different scenarios.
• Failing to capture fair value means working hard for little in return. Some participants get disproportionate value out of an ecosystem while others pick up the slack. Know what your contribution is worth, negotiate agreements that reflect that value, and don’t be afraid to walk away from ecosystems that don’t offer a fair return.

Regulatory considerations

Governments around the world are scrutinizing digital ecosystems, and creating new compliance requirements that affect all participants.

Data privacy regulations like Europe’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) apply across ecosystem boundaries. When you share customer data with ecosystem partners, you remain liable for privacy violations. So be sure to build privacy controls into your integrations, maintain clear data processing agreements, and give consumers right-to-delete capabilities.

Antitrust enforcement is increasingly targeting large ecosystem players. Regulators examine whether orchestrators unfairly favor their own services, block competitor access, or charge monopolistic rents. Even if you’re not the orchestrator, being associated with investigated ecosystems can damage your reputation and your operations.

Cross-border data flows are also facing growing restrictions, with many countries requiring data localization or limiting international transfers. These requirements complicate global ecosystem participation. Understand where data can flow, implement geographic controls, and maintain compliance across all jurisdictions you operate in.

Industry-specific regulations add another layer of complexity. Health care ecosystems must navigate the Health Insurance Portability and Accountability Act (HIPAA), financial ecosystems deal with Know Your Customer (KYC) and Anti-Money Laundering (AML) requirements, and education ecosystems face Family Educational Rights and Privacy Act (FERPA) restrictions. Be sure that all of your ecosystem partners maintain appropriate compliance before sharing any sensitive data.

Future of digital ecosystems

Digital ecosystems are continuing to evolve rapidly, thanks to technological advances and changing business needs.

Artificial intelligence is becoming the nervous system of advanced ecosystems. AI orchestrates interactions, predicts participant needs, and optimizes value flows automatically. Machine learning models trained on ecosystem data provide insights no single participant could generate alone. As AI capabilities expand, ecosystems will become increasingly autonomous and intelligent.

Edge computing pushes ecosystem intelligence closer to users. Instead of routing everything through central servers, processing happens on devices, in local data centers, or at network edges. This reduces latency, improves privacy, and enables real-time responses. Ecosystems that master edge computing will deliver the best user experiences.

Interoperability standards are emerging to connect previously isolated ecosystems. Just as the internet connected isolated computer networks, new protocols will enable ecosystem-to-ecosystem communication. Businesses will participate in multiple interconnected ecosystems simultaneously, with data and value flowing seamlessly between them.

Sustainability concerns are reshaping ecosystem design. North America currently dominates the digital transformation market, holding a market share of over 44.2% in 2024, but growth increasingly depends on demonstrating environmental responsibility. Ecosystems that minimize energy consumption, reduce electronic waste, and enable circular economy models will attract environmentally conscious participants and customers.

The next decade will see ecosystems become even more central to business strategy. Companies that understand ecosystem dynamics, choose their roles wisely, and expand through partnerships will thrive. Those that ignore ecosystems or stay on the sidelines risk falling behind. The question isn’t whether to join digital ecosystems, but how to create the most value while managing the risks.

Digital ecosystem FAQ

What are examples of digital ecosystems?

Amazon is an example of a digital ecosystem since it provides an online marketplace, video and music streaming, smart home devices, payment processing services, and more—all of which are interconnected.

What is the difference between a digital platform and a digital ecosystem?

Digital platforms are hosts that connect various users and facilitate transactions. A digital ecosystem is a broader term that includes some platforms that facilitate multiple kinds of exchanges. For example, a digital platform may host buyers and sellers of second hand goods. If it integrates with a logistics platform to share data and provide seamless delivery to users and improve customer journeys, it may be considered a digital ecosystem.

What are the functions of digital ecosystems?

Digital ecosystems connect platforms, services, and devices to support the exchange of data and functionalities between participating companies. They aim to provide a richer customer journey by streamlining business processes and offering a wider range of connected products and services.

What are 3 key characteristics of a digital ecosystem?

Three key characteristics that define successful digital ecosystems are: interdependence (participants rely on each other for value creation), shared platforms and data (digital infrastructure enables seamless integration and innovation), and scalability (the ecosystem becomes more valuable as it grows).

How do you map a digital ecosystem?

Map a digital ecosystem by first identifying all participants (users, producers, orchestrators, enablers). Then trace value flows of money, data, and services between them. Document technical connections like APIs and integration points. Finally, analyze network effects to understand how growth impacts each participant and identify opportunities or threats.

What makes a digital ecosystem successful?

Successful digital ecosystems share several traits: clear value proposition for all participants, strong network effects that increase value with growth, robust technical infrastructure that enables seamless integration, fair governance that ensures equitable value distribution, and continuous innovation that keeps the ecosystem relevant as markets evolve.