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Software has become one of the foundations of the modern economy.
A retailer uses software to manage inventory and customer relationships. A multinational enterprise depends on software for finance, human resources, cybersecurity, analytics, collaboration, and supply-chain management. Designers build campaigns through creative platforms. Developers rely on cloud infrastructure and development tools. Small businesses use accounting, marketing, eCommerce, and productivity applications that would have required entire departments only a few decades ago.
Behind these systems are some of the world’s most influential software product companies.
But identifying the top software product companies in the world is more complicated than simply creating a ranking based on revenue or market capitalization.
Microsoft is dramatically larger than many specialized SaaS companies, but a smaller organization such as Atlassian may have extraordinary influence within software development teams. Salesforce transformed customer relationship management. Adobe established a dominant position in professional creative software. ServiceNow became deeply embedded in enterprise workflows. SAP remains fundamental to the operations of thousands of large organizations.
Meanwhile, newer software companies are reshaping established categories through cloud-native architecture, artificial intelligence, automation, data platforms, cybersecurity, and product-led growth.
Therefore, the best way to answer the question “Which are the top software product companies in the world?” is to examine not only company size but also product quality, market influence, innovation, ecosystem strength, customer adoption, recurring revenue, scalability, and long-term strategic relevance.
This comprehensive guide explores the world’s leading software product companies, explains what makes them successful, examines the different categories of software businesses, and provides practical insights for businesses, entrepreneurs, product managers, developers, and technology buyers.
Some of the most prominent global software product companies include:
These companies operate in very different software categories.
Microsoft spans productivity software, operating systems, development platforms, cloud computing, business applications, security, collaboration, and artificial intelligence.
Salesforce specializes heavily in CRM and enterprise customer platforms.
SAP has deep roots in ERP and enterprise operations.
Adobe dominates important areas of professional creative software and digital experience technology.
ServiceNow focuses on enterprise workflows and automation.
Intuit has built major financial software products.
Atlassian has established an extensive ecosystem around software development, project management, and collaboration.
Workday focuses heavily on enterprise finance and human capital management.
Shopify provides a commerce operating platform.
Companies such as Snowflake, Datadog, CrowdStrike, Cloudflare, and Palantir represent increasingly important categories involving data, infrastructure, cybersecurity, observability, and AI-assisted enterprise software.
There is consequently no single “best software company” for every requirement.
The right company depends on the problem being solved.
A software product company develops technology that can be repeatedly sold, licensed, subscribed to, or otherwise distributed to multiple customers.
The defining characteristic is repeatability.
Suppose a technology company develops a customized inventory management platform specifically for one retailer and receives payment for that development project. That is primarily a software service engagement.
Now imagine another company develops an inventory management application that thousands of retailers can subscribe to for a monthly fee.
That is a software product business.
The difference matters because the economics, development process, architecture, marketing strategy, and customer relationships can be dramatically different.
A software product company generally invests heavily in creating intellectual property that can serve a large number of customers.
Instead of generating revenue exclusively by selling engineering hours, it builds a reusable product.
Modern software product companies commonly use several commercial models.
Customers pay monthly or annually to access software.
This is the foundation of the Software as a Service, or SaaS, model.
Examples include CRM systems, collaboration tools, accounting platforms, marketing applications, project management products, cybersecurity systems, and HR software.
Organizations pay according to the number of employees or users accessing the application.
This approach is common across workplace productivity and enterprise SaaS products.
Customers pay according to consumption.
Infrastructure, cloud, data, API, and developer-platform businesses frequently use some form of consumption-based pricing.
Users receive basic functionality without paying and upgrade when they require additional features, capacity, collaboration, security, or administration capabilities.
Freemium has become particularly effective for products that can spread organically within organizations.
Customers purchase the right to use a particular software version indefinitely.
Although subscription models have become increasingly common, perpetual licensing remains relevant in certain enterprise and specialist markets.
Some software platforms earn revenue when transactions occur through their ecosystems.
Commerce and payment platforms are prominent examples.
A software company can create an ecosystem where third-party developers build extensions, integrations, applications, templates, or services.
The strongest software companies increasingly operate as platforms rather than isolated applications.
The distinction between these two categories is essential when discussing the world’s leading software businesses.
A software product company primarily develops products for a broader market.
A software development company primarily develops technology for clients.
For example, Salesforce develops CRM products used by organizations worldwide. Adobe develops creative and digital experience software. Atlassian develops products such as Jira and Confluence.
A development partner, on the other hand, might help an entrepreneur or enterprise create its own SaaS platform, mobile application, ERP system, marketplace, AI solution, or internal business application.
This difference is particularly relevant for businesses researching the top software companies because purchasing an established product and developing a proprietary platform solve different problems.
If an organization needs a standard CRM, buying an established CRM platform could be practical.
If it needs proprietary workflows, unusual integrations, unique intellectual property, specialized automation, or a completely new commercial SaaS product, custom development may be more appropriate.
For organizations pursuing the second path, an experienced development partner such as Abbacus Technologies can support activities spanning product strategy, web and mobile development, AI-enabled solutions, cloud engineering, and ongoing optimization.
That distinction should remain clear throughout any comparison.
Microsoft and Salesforce sell software products.
A custom software engineering company helps another organization create its own software product.
A meaningful ranking should examine more than popularity.
Several factors help determine whether a company deserves recognition among the world’s top software product businesses.
Successful software companies solve problems frequently enough that customers continue using their products.
Adoption is therefore one of the strongest signals of product relevance.
Enterprise products can become deeply embedded within organizations because they manage business-critical workflows.
Consumer-oriented applications may achieve influence through enormous user communities.
Both models demonstrate product strength differently.
Revenue alone does not tell the complete story.
Recurring revenue is particularly valuable in software because it can make financial performance more predictable.
Subscription businesses can develop strong economics when they combine:
This explains why SaaS economics have attracted so much investment over the past two decades.
Technology markets change quickly.
A dominant product can lose relevance if the company fails to respond to architectural or behavioral changes.
Major transitions have included:
desktop to web
on-premise to cloud
licensed software to subscriptions
desktop-first to mobile-first experiences
manual workflows to automation
traditional analytics to AI-assisted intelligence
isolated applications to integrated platforms
The current transition toward generative AI and intelligent agents is creating another major competitive cycle.
The most defensible software companies rarely depend on one feature.
They build ecosystems.
An ecosystem can contain applications, APIs, integrations, marketplaces, developer tools, consultants, implementation partners, training programs, certifications, templates, and communities.
Ecosystem strength increases switching costs while creating additional value for customers.
Large organizations evaluate software differently from individual users.
Enterprises care about:
security
privacy
compliance
identity management
availability
data governance
auditability
administration
integration
support
business continuity
vendor stability
A product can have outstanding functionality but still struggle in the enterprise market if it cannot satisfy these requirements.
The world’s leading software platforms must support enormous workloads.
Scalability includes more than server capacity.
It involves architecture, database design, APIs, infrastructure, security, organizational processes, customer support, internationalization, and operational reliability.
Some companies become leaders through specialization.
Others build broad software portfolios.
Microsoft is an example of portfolio breadth.
Its ecosystem spans operating systems, workplace productivity, cloud infrastructure, development, cybersecurity, business applications, databases, collaboration, AI, and other categories.
That breadth creates substantial strategic advantages.
Some products influence how entire industries work.
Jira affected software project management.
Salesforce transformed CRM delivery.
Adobe’s tools shaped professional creative workflows.
SAP became foundational to enterprise resource planning.
Shopify lowered barriers to sophisticated digital commerce.
The influence of a product can therefore matter as much as its immediate revenue.
Let us examine the companies individually.
Microsoft deserves the first position in almost any comprehensive discussion of the world’s leading software product companies.
The company has influenced personal computing and enterprise technology for decades while successfully navigating several major technological transitions.
Its product portfolio includes:
Windows
Microsoft 365
Teams
Azure
Dynamics 365
Power Platform
GitHub
Visual Studio
SQL Server
Microsoft Defender
Copilot products
and numerous enterprise infrastructure, security, development, productivity, and AI technologies.
Microsoft’s strength comes from the interconnected nature of this ecosystem.
A company can use Windows for endpoint computing, Microsoft 365 for productivity, Teams for communication, Azure for cloud infrastructure, Dynamics 365 for business applications, Power BI for analytics, GitHub for software development, and Microsoft’s security products for protection.
This creates an extraordinarily powerful enterprise distribution network.
Microsoft 365 represents one of the strongest productivity software ecosystems in the world.
Applications such as Word, Excel, PowerPoint, Outlook, Teams, and related services remain deeply integrated into workplace operations.
The transition from traditional Office licensing toward cloud subscriptions strengthened Microsoft’s recurring revenue model while allowing the company to continuously improve its products.
Azure expanded Microsoft from a traditional software company into one of the most important cloud technology providers globally.
Cloud computing also strengthened the rest of Microsoft’s portfolio.
Companies building applications within the Microsoft ecosystem can connect infrastructure, databases, identity, analytics, cybersecurity, AI, development tooling, and business software.
Microsoft’s ownership of GitHub provides strategic access to one of the world’s most important developer ecosystems.
Software developers use GitHub for source-code management, collaboration, open-source projects, automation, and increasingly AI-assisted software development.
AI has become central to Microsoft’s product strategy.
Rather than positioning artificial intelligence as an isolated application, Microsoft has been integrating AI capabilities across productivity, development, business software, security, and cloud services.
This platform approach could prove more significant than any individual AI feature.
Microsoft combines several advantages that few competitors possess:
massive global distribution
enterprise relationships
consumer reach
cloud infrastructure
developer ecosystem
business applications
productivity software
security capabilities
AI investment
deep technical infrastructure
Microsoft’s fiscal 2025 reporting showed Microsoft Cloud revenue reaching $168.9 billion, up 23 percent from the previous year. Microsoft 365 Commercial products and cloud services revenue increased 14 percent, while Dynamics products and cloud services revenue increased 15 percent.
Those figures demonstrate how effectively Microsoft has transitioned from its historical software licensing model toward cloud and subscription products.
For businesses asking which software company has the broadest enterprise ecosystem, Microsoft is difficult to overlook.
Oracle is one of the most important enterprise software companies in technology history.
The company originally became synonymous with database technology but has expanded across:
database management
enterprise applications
ERP
human capital management
customer experience
cloud infrastructure
analytics
industry applications
middleware
and other enterprise technologies.
Oracle Database established the company’s reputation as a critical technology provider for large enterprises.
Databases sit underneath countless applications and operational systems, making reliability, performance, availability, and security extremely important.
Oracle built deep relationships with organizations where database infrastructure is mission-critical.
Oracle has invested heavily in cloud infrastructure as enterprise computing has moved toward cloud deployment.
Its strategy combines infrastructure with databases and enterprise applications.
Oracle’s cloud application portfolio spans major enterprise functions including finance, supply chain, HR, and customer operations.
The strategic value comes from connecting applications with Oracle’s broader data and infrastructure ecosystem.
Oracle reported fiscal 2026 revenue of approximately $67.36 billion. Cloud revenue accounted for about $33.99 billion, while software revenue contributed approximately $24.54 billion.
The size of those businesses demonstrates why Oracle remains a major force in enterprise technology even after decades of industry transformation.
Oracle benefits from:
deep enterprise relationships
mission-critical database installations
large-scale cloud investments
extensive enterprise applications
industry-specific expertise
high switching costs
long-term customer relationships
Its products are particularly relevant for large organizations with sophisticated data, infrastructure, finance, HR, and operational requirements.
Salesforce is one of the defining companies of the SaaS era.
Before cloud software became the standard enterprise delivery model, organizations frequently installed complex business applications within their own infrastructure.
Salesforce helped demonstrate that major enterprise applications could be delivered through the internet as continuously evolving services.
That idea now seems ordinary.
At the time, it represented a fundamental shift.
Customer relationship management remains at the center of Salesforce’s ecosystem.
Organizations use Salesforce products for areas such as:
sales
customer service
marketing
commerce
analytics
automation
integration
customer data
industry workflows
Salesforce’s platform strategy has allowed the company to move far beyond a traditional sales database.
A major reason Salesforce became so influential is that customers can customize and extend the platform.
Businesses build workflows, applications, integrations, automations, and data models around Salesforce.
This makes the system more deeply integrated into organizational processes.
Salesforce has developed an enormous ecosystem of:
developers
administrators
consultants
implementation partners
applications
integrations
training programs
certifications
community members
This ecosystem creates a competitive advantage that cannot easily be replicated by building a better CRM feature.
Salesforce reported fiscal 2026 total revenue of approximately $41.5 billion, representing 10 percent year-over-year growth. Subscription and support revenue reached approximately $39.4 billion.
The scale of subscription revenue demonstrates the strength of Salesforce’s recurring business model.
Salesforce is important not merely because it sells CRM software.
It helped redefine how enterprise software itself is purchased, deployed, updated, extended, and monetized.
Its influence on the broader SaaS industry is difficult to overstate.
SAP is one of the world’s most important enterprise software companies, particularly in enterprise resource planning.
Its technology is deeply embedded within large organizations across industries including:
manufacturing
retail
automotive
energy
financial services
consumer products
pharmaceuticals
logistics
public services
and many others.
Enterprise resource planning connects major operational processes through shared systems and data.
A large enterprise may need to coordinate:
finance
procurement
inventory
manufacturing
supply chain
human resources
sales
asset management
reporting
compliance
SAP became a global leader by helping organizations manage these interconnected processes.
S/4HANA represents a major part of SAP’s modern ERP strategy.
It combines enterprise applications with SAP’s HANA data architecture while supporting the broader shift toward cloud deployment.
SAP has been transitioning its enormous installed customer base toward cloud products.
That transition is visible in its financial performance.
SAP reported €36.8 billion in total 2025 revenue, including €32.54 billion from cloud and software. Cloud revenue reached approximately €21.02 billion, compared with €17.14 billion in 2024.
SAP also reported that 86 percent of its 2025 revenue was more predictable in nature, compared with 75 percent in 2021.
This illustrates the broader transformation occurring throughout enterprise software.
Many software products help employees perform individual tasks.
ERP systems can effectively become the operational backbone of an entire organization.
That creates enormous responsibility and substantial switching costs.
SAP’s combination of enterprise expertise, international reach, complex process support, and installed customer relationships keeps it firmly among the world’s leading software companies.
Adobe occupies a distinctive position in global software.
Few technology companies have influenced professional creative workflows as deeply.
Adobe’s portfolio includes products and platforms associated with:
graphic design
photography
video production
document workflows
digital marketing
digital experiences
content creation
publishing
and creative collaboration.
Photoshop became so culturally influential that the product name itself entered everyday language.
Its significance extends across photography, advertising, digital design, publishing, social media, eCommerce, entertainment, and other visual industries.
Illustrator is a major professional tool for vector graphics, branding, illustration, typography, and visual identity work.
Premiere Pro has become widely used in professional and semi-professional video production.
PDF workflows represent another powerful part of Adobe’s ecosystem.
Documents remain central to business operations, and Acrobat’s presence gives Adobe reach beyond purely creative professionals.
Adobe’s transition from perpetual software licenses to Creative Cloud subscriptions was one of the most important strategic transformations in modern software.
Instead of periodically selling new software versions, Adobe developed an ongoing subscription relationship with customers.
Adobe also operates a significant enterprise digital experience business, extending the company’s reach into marketing, analytics, content management, and customer experience.
Adobe reported approximately $25.20 billion in annual recurring revenue at the end of fiscal 2025. Digital Media revenue reached approximately $17.65 billion, while Digital Experience revenue was approximately $5.86 billion.
These numbers show that Adobe is much more than a collection of desktop creative applications.
It is a major subscription software platform.
Adobe combines:
professional product depth
strong brand recognition
high switching costs
creative industry standards
cloud subscriptions
enterprise experience products
AI-assisted workflows
large creative communities
This makes Adobe one of the world’s strongest examples of a software company successfully transforming an established product franchise.
ServiceNow is particularly important in enterprise workflow management.
The company initially became known for IT service management but expanded into a broader platform for digitizing enterprise workflows.
Large organizations contain thousands of repetitive processes.
Employees request equipment.
New staff members need onboarding.
IT teams respond to incidents.
Security teams investigate alerts.
Customers open support cases.
Departments request approvals.
Infrastructure changes must be documented.
Traditional organizations often manage these workflows through disconnected emails, spreadsheets, ticketing tools, and manual processes.
ServiceNow helps transform these processes into structured digital workflows.
The company’s platform supports areas such as:
IT service management
IT operations
customer service
HR workflows
security operations
asset management
application development
enterprise automation
AI-assisted workflows
Enterprise workflow software can become extremely sticky.
Once an organization has configured thousands of workflows, integrations, approval rules, data relationships, and employee processes around a platform, replacing that platform becomes expensive and disruptive.
This creates significant customer retention advantages.
AI is increasingly important to ServiceNow because workflow platforms contain precisely the types of repetitive knowledge tasks that AI can accelerate.
Instead of simply generating text, enterprise AI can help classify requests, summarize incidents, recommend actions, automate workflows, retrieve organizational knowledge, and coordinate tasks.
That creates substantial opportunities for ServiceNow.
ServiceNow demonstrates an important principle of successful enterprise software:
The most valuable products are not always the applications consumers recognize.
Software that manages mission-critical organizational processes can create enormous economic value even if the general public rarely interacts with it.
Intuit is one of the world’s leading financial software companies.
Its products serve consumers, entrepreneurs, accountants, and small businesses.
The company has built major brands around financial management, accounting, taxes, personal finance, and marketing.
Its ecosystem includes products and businesses such as:
QuickBooks
TurboTax
Credit Karma
Mailchimp
and related financial technology services.
QuickBooks has become one of the most recognizable accounting platforms for small businesses.
Accounting software becomes deeply embedded in business operations because financial records affect:
invoicing
expenses
taxes
payroll
cash flow
reporting
bookkeeping
payments
financial planning
The deeper a product integrates into these workflows, the more valuable the customer relationship can become.
Intuit has expanded beyond traditional accounting software.
The broader goal is to connect financial data, business operations, marketing, payments, tax workflows, and AI-assisted recommendations.
Intuit reported fiscal 2025 net revenue of approximately $18.83 billion, representing 16 percent growth compared with fiscal 2024. Operating income increased 36 percent to approximately $4.92 billion.
Intuit demonstrates the power of solving recurring, unavoidable problems.
Businesses can postpone many software purchases.
They cannot indefinitely ignore accounting, taxes, payroll, cash flow, and financial management.
Products attached to these essential workflows can create exceptionally durable businesses.
Atlassian has become one of the most influential software companies within development, project management, and knowledge collaboration.
Its best-known products include:
Jira
Confluence
Jira Service Management
Trello
and other tools across planning, development, service management, and teamwork.
Jira became deeply embedded in software development organizations.
Development teams use it to manage:
issues
tasks
bugs
sprints
backlogs
releases
workflows
product development processes
The product’s flexibility has helped it serve organizations ranging from small software teams to large enterprises.
Confluence provides collaborative documentation and knowledge management.
When used alongside Jira and other Atlassian products, it can form part of an integrated development and organizational knowledge environment.
Atlassian became particularly notable for its efficient product-led distribution model.
Instead of depending entirely on traditional enterprise sales processes, its products spread organically through teams.
This approach influenced a generation of SaaS entrepreneurs.
Atlassian’s success demonstrates that developer and collaboration products can become major global software businesses.
Developers are not merely technical users.
They increasingly influence technology purchasing decisions.
Companies that earn developer loyalty can therefore create substantial strategic advantages.
Workday is a leading provider of enterprise cloud applications focused primarily on human capital management and financial management.
Its rise reflects a broader generational transition in enterprise software.
Many organizations historically depended on large on-premise applications for HR and finance.
Workday built its architecture around cloud delivery.
Managing employees at enterprise scale involves far more than payroll.
Organizations require systems for:
recruiting
employee records
compensation
performance
workforce planning
learning
analytics
organizational structures
compliance
talent management
Workday provides technology across many of these areas.
The company also competes in enterprise financial software, bringing it into competition with companies including Oracle and SAP.
Workday illustrates how cloud-native companies can challenge established enterprise software vendors.
The company did not need to reproduce every legacy software category.
Instead, it focused on major enterprise workloads where customers were increasingly ready for modern cloud architectures.
Shopify is sometimes described primarily as an eCommerce company, but fundamentally it is one of the world’s most influential commerce software platforms.
Its products allow merchants to create, manage, and expand businesses across digital and physical channels.
The platform touches:
online storefronts
checkout
payments
inventory
order management
analytics
marketing
point of sale
international commerce
applications
merchant operations
Before platforms such as Shopify matured, launching a sophisticated eCommerce business could require significant technical expertise.
Merchants often needed developers to construct storefronts, integrate payments, configure databases, manage hosting, and maintain infrastructure.
Shopify abstracted much of that complexity.
This is one of the fundamental purposes of successful software products.
Great software turns technically complicated processes into accessible workflows.
Shopify’s ecosystem extends far beyond its internal engineering team.
Third-party developers create applications that expand merchant functionality.
Agencies and specialists build stores.
Designers create themes.
Technology companies build integrations.
This ecosystem makes Shopify more powerful than a standalone commerce application.
Shopify has become infrastructure for entrepreneurship.
That gives the company strategic importance beyond ordinary SaaS.
It does not simply help merchants manage websites.
It provides technology supporting substantial portions of their commercial operations.
Autodesk is one of the world’s most important professional design and engineering software companies.
Its products serve industries such as:
architecture
construction
manufacturing
engineering
media
entertainment
product design
infrastructure
Prominent Autodesk products include AutoCAD, Revit, Fusion, Maya, and other professional applications.
AutoCAD is one of the most recognized computer-aided design products in the world.
It has been used across architecture, engineering, construction, manufacturing, and technical design for decades.
Professional software can develop powerful competitive advantages when customers build entire workflows, training programs, file standards, and organizational processes around it.
Revit plays an important role in building information modeling.
Modern construction and architectural projects involve complex collaboration between architects, structural engineers, contractors, consultants, and clients.
Software that helps coordinate this information becomes strategically important to project delivery.
Autodesk Fusion brings together design, engineering, manufacturing, and collaboration capabilities.
It reflects the broader trend toward connected cloud-based product development workflows.
Autodesk demonstrates that software leadership does not require serving every market.
A company can create enormous value by becoming deeply embedded within specialized professional workflows.
Its products often contribute directly to the creation of physical buildings, manufactured products, infrastructure, and entertainment assets.
That connection between digital tools and real-world production gives Autodesk an important position in global software.
Cybersecurity has become one of the most strategically important software categories in the world.
CrowdStrike is a major company within that transformation.
Its cloud-native security platform is particularly associated with endpoint protection, threat intelligence, identity security, cloud security, and security operations.
Many software products create productivity.
Cybersecurity software protects productivity, infrastructure, data, identities, and business continuity.
The economic consequences of security failures can include:
operational disruption
data theft
fraud
regulatory penalties
reputational damage
ransomware
intellectual property loss
customer distrust
For this reason, security increasingly receives executive and board-level attention.
Organizations historically accumulated numerous independent security products.
Managing dozens of disconnected tools creates operational complexity.
Major cybersecurity companies increasingly compete by building integrated platforms that address multiple security requirements.
CrowdStrike has pursued this platform strategy aggressively.
CrowdStrike combines several characteristics associated with successful modern SaaS companies:
cloud-native architecture
subscription economics
mission-critical functionality
high enterprise relevance
large data advantages
platform expansion
AI-assisted capabilities
Cybersecurity is likely to remain one of the most durable software markets because the threat environment continuously evolves.
Data has become central to modern business strategy.
Snowflake emerged as one of the most important cloud data companies by rethinking how organizations store, process, share, and analyze information.
Traditional data infrastructure frequently required companies to manage substantial hardware and software complexity.
Cloud-native platforms changed that model.
Organizations generate information across:
applications
websites
mobile products
financial systems
CRM platforms
IoT devices
customer interactions
marketing systems
internal operations
third-party services
The problem is not merely storing that information.
Businesses need to make it accessible, governed, secure, queryable, and useful.
Snowflake provides infrastructure designed around these requirements.
Data infrastructure often aligns naturally with usage-based pricing.
Customers consume computing and storage resources according to workload.
This differs from traditional per-seat SaaS models and demonstrates how software monetization varies according to product architecture.
AI has increased the strategic importance of data platforms.
Machine learning and generative AI applications require access to high-quality organizational data.
Enterprises consequently need platforms capable of combining governance, security, analytics, and AI workloads.
Snowflake represents a broader evolution from applications toward data infrastructure.
As companies become more data-driven, the platforms managing that information become increasingly central to their technology stacks.
Palantir occupies a distinctive position within enterprise software.
The company develops software platforms designed to help organizations integrate complex data and use it for operational decision-making.
Its major platforms have included Foundry, Gotham, Apollo, and its Artificial Intelligence Platform.
Foundry helps organizations connect data from multiple sources and translate it into operational workflows.
This is important because enterprise data is rarely clean or centralized.
Information may exist across hundreds of applications, databases, spreadsheets, legacy systems, and external sources.
The value comes from turning fragmented information into something decision-makers can actually use.
Gotham has been associated particularly with government, defense, intelligence, and security use cases.
These environments involve complicated data relationships and demanding operational requirements.
The rapid adoption of generative AI created another opportunity for Palantir.
Enterprises want AI systems capable of interacting with organizational information while maintaining security, permissions, governance, and operational controls.
That requirement aligns closely with Palantir’s historical focus on complex organizational data.
Palantir reported approximately $4.48 billion in 2025 revenue, compared with roughly $2.87 billion in 2024.
That represented substantial year-over-year expansion.
Palantir represents a category of enterprise software where the product is not merely a dashboard.
The objective is to connect information directly with operational decisions.
As AI systems become more capable of participating in business workflows, this distinction could become increasingly important.
HubSpot is one of the most influential software companies serving marketing, sales, service, and customer relationship management.
The company became closely associated with inbound marketing but gradually expanded into a much broader customer platform.
Its ecosystem includes software supporting:
marketing
CRM
sales
customer service
content
operations
commerce
automation
analytics
One of HubSpot’s major strengths has been accessibility.
Traditional enterprise CRM systems can require substantial implementation resources.
HubSpot historically appealed strongly to small and medium-sized organizations looking for software that could be deployed with comparatively less complexity.
As customers grow, they can adopt additional products.
This creates a land-and-expand opportunity.
HubSpot also demonstrated the power of content marketing as a software growth strategy.
Educational resources helped the company build awareness around inbound marketing while simultaneously creating demand for the software that supported those practices.
This became a model studied by countless SaaS companies.
HubSpot shows that successful software companies can create competitive advantage through more than code.
Product experience, education, brand, community, integrations, freemium acquisition, and customer success can work together to create a powerful growth engine.
Zoom became one of the world’s most recognizable software brands during the rapid expansion of remote work.
Video conferencing existed long before Zoom.
Its breakthrough came from making the experience significantly easier for ordinary users.
That is an important product lesson.
Innovation does not always require inventing a new category.
Sometimes enormous value comes from eliminating friction from an existing one.
Users generally wanted video conferencing to accomplish a straightforward objective:
click a link and join a meeting.
Legacy systems could create friction through downloads, accounts, plugins, compatibility problems, complicated interfaces, or unreliable connections.
Zoom prioritized simplicity and meeting quality.
That product focus helped accelerate adoption.
Zoom has expanded its platform into areas such as:
team chat
phone
contact center
workplace collaboration
events
AI-assisted productivity
enterprise communications
This diversification matters because standalone video conferencing has become increasingly competitive.
Zoom’s story illustrates the importance of user experience.
Even in technically sophisticated markets, reducing friction can become an enormous competitive advantage.
Datadog is one of the leading companies in cloud monitoring and observability.
Modern applications are incredibly complex.
A digital product might depend on:
cloud servers
containers
databases
APIs
microservices
third-party services
mobile applications
content delivery networks
serverless functions
security systems
multiple geographic regions
When something goes wrong, engineering teams need to understand what happened.
That is where observability platforms become critical.
Datadog provides products across areas such as:
infrastructure monitoring
application performance monitoring
log management
security monitoring
real user monitoring
network monitoring
cloud security
incident management
developer experience
Imagine an eCommerce application becomes slow during a major sale.
The visible symptom is simple.
Pages take too long to load.
The underlying cause could exist almost anywhere.
Perhaps a database query became inefficient.
Perhaps an external API is failing.
Perhaps a cloud resource reached capacity.
Perhaps a new software release introduced an error.
Perhaps a network dependency is experiencing problems.
Observability software helps engineering teams investigate these interconnected systems.
As organizations build increasingly distributed cloud applications, observability becomes more important.
Software complexity creates demand for software that explains complexity.
That dynamic gives Datadog an attractive long-term market.
Canva represents one of the most important changes in modern design software.
Professional graphic design historically required specialized skills and complicated desktop applications.
Canva dramatically expanded access to visual creation.
Instead of targeting only professional designers, the platform made it possible for marketers, entrepreneurs, teachers, students, social media managers, sales teams, and ordinary users to create visual content.
This concept is central to Canva’s success.
The company did not simply build another professional graphics editor.
It redesigned the workflow around accessibility.
Templates reduced the need to start from an empty canvas.
Drag-and-drop editing reduced technical complexity.
Cloud collaboration simplified teamwork.
Large libraries of assets accelerated production.
Browser-based access reduced setup friction.
Canva has expanded from individual creation toward workplace collaboration.
Businesses increasingly use it for:
social media graphics
presentations
marketing materials
documents
brand templates
internal communications
videos
advertisements
sales collateral
The ability to maintain brand consistency while allowing non-designers to create content makes the platform particularly attractive to organizations.
Generative AI is changing creative software rapidly.
Text generation, image generation, background editing, design assistance, video tools, translation, resizing, and content transformation can all reduce production time.
Canva’s large user base gives it a powerful distribution channel for these capabilities.
Canva demonstrates one of the strongest principles in software entrepreneurship:
A market can expand dramatically when complicated professional functionality becomes accessible to non-specialists.
The company did not merely compete for existing designers.
It expanded the population capable of designing.
Figma transformed collaborative interface design.
Before cloud-native design collaboration became mainstream, designers frequently worked through desktop applications and exchanged files between team members.
That process created problems around:
versions
feedback
handoffs
collaboration
file management
developer communication
Figma brought multiplayer collaboration into interface design.
The ability for multiple users to work within the same design environment changed how product teams collaborate.
Designers, developers, product managers, marketers, and stakeholders could inspect and comment on the same source.
This reduced friction between design and product development.
Large organizations need consistent interface components.
Figma supports design systems that allow teams to create reusable components, styles, and patterns.
This improves consistency across large digital products.
Design does not end when a screen looks good.
Engineers must translate designs into functioning applications.
Tools that improve communication between designers and developers can reduce implementation errors and development time.
Figma demonstrates the power of collaboration as a product feature.
Many traditional software categories were originally designed for one user working independently.
Cloud-native products can instead make collaboration fundamental to the architecture.
That difference can create entirely new workflows.
Cloudflare operates at the intersection of networking, security, application infrastructure, and developer platforms.
Its services help organizations deliver and protect internet applications.
Cloudflare’s platform includes capabilities related to:
content delivery
DDoS protection
web application security
DNS
zero-trust security
edge computing
developer services
network performance
application delivery
Modern businesses depend heavily on internet availability.
If a website, SaaS product, API, or application becomes unavailable, the financial consequences can be immediate.
Infrastructure products that improve speed, security, and reliability therefore become strategically important.
Traditional cloud architecture often processes workloads inside centralized data centers.
Edge computing moves certain processing closer to users.
This can improve latency and enable different application architectures.
Cloudflare has been expanding its developer platform around this opportunity.
Cloudflare’s network also gives the company visibility into enormous amounts of internet traffic.
That network position can help detect and mitigate malicious activity.
The boundary between software and infrastructure has become increasingly blurred.
Developers interact with infrastructure through software interfaces, APIs, configuration systems, and programmable platforms.
Cloudflare represents this new generation of infrastructure-oriented software companies.
Thousands of companies create good software.
Only a relatively small number become global category leaders.
Several patterns appear repeatedly among the companies discussed above.
Successful B2B software frequently addresses problems where failure is expensive.
Consider:
Salesforce and customer revenue
SAP and enterprise operations
CrowdStrike and cybersecurity
Workday and workforce management
Datadog and application reliability
Snowflake and enterprise data
ServiceNow and operational workflows
When a problem carries significant economic consequences, organizations are willing to invest more heavily in solving it.
Some software products store information that becomes central to business operations.
A CRM contains customer information.
An ERP contains financial and operational records.
An HR platform contains workforce information.
A project management system contains development activity.
Once a product becomes a trusted system of record, replacing it becomes difficult.
This creates durability.
Strong software businesses frequently enter through one use case and expand.
A company may initially buy one module.
Later it adopts:
additional seats
additional departments
additional products
additional storage
additional integrations
premium security
advanced analytics
AI functionality
international capabilities
This expansion can dramatically increase customer lifetime value.
A product solves one problem.
A platform allows many problems to be solved.
Platforms can expose:
APIs
developer tools
automation
custom applications
marketplaces
extensions
integrations
data services
Partner ecosystems then increase the platform’s value.
Developers increasingly influence technology adoption.
Microsoft has GitHub and Azure.
Atlassian integrates deeply into development workflows.
Cloudflare provides developer infrastructure.
Datadog serves engineering teams.
Snowflake supports data engineers and developers.
Developer adoption can create bottom-up enterprise growth.
Switching costs are often misunderstood.
The strongest switching costs do not come from deliberately making software difficult to leave.
They come from becoming useful enough that replacement would require substantial organizational change.
If thousands of employees depend on a platform, hundreds of integrations connect to it, years of data live inside it, and internal workflows have been configured around it, migration becomes naturally difficult.
Understanding the software industry becomes easier when companies are grouped according to the problems they solve.
Examples include Microsoft 365 and collaborative workplace platforms.
These products help individuals and teams create, communicate, organize, and collaborate.
The market is enormous because nearly every knowledge worker needs productivity software.
Salesforce and HubSpot are major examples.
CRM products help businesses manage:
leads
customers
sales opportunities
communication
marketing
support
revenue processes
CRM remains one of the largest SaaS categories because customer acquisition and retention directly affect revenue.
SAP and Oracle are major enterprise ERP providers.
ERP platforms connect business processes across finance, procurement, inventory, manufacturing, supply chain, and other operational functions.
These systems tend to have long implementation cycles and high switching costs.
Adobe, Canva, Figma, and Autodesk address different areas of creative and design work.
Adobe focuses heavily on professional creative production.
Canva democratizes visual communication.
Figma focuses strongly on digital product design and collaboration.
Autodesk serves architecture, engineering, manufacturing, and related professional industries.
Workday, SAP, Oracle, and other enterprise vendors provide HR technology.
The category includes:
payroll
recruiting
performance
compensation
workforce planning
employee experience
talent management
CrowdStrike and Cloudflare participate in different parts of cybersecurity.
The broader category includes:
endpoint security
network security
identity
cloud security
application security
threat intelligence
security operations
zero trust
data protection
Security spending tends to remain strategically important because threats continuously evolve.
Snowflake and Palantir illustrate different approaches to enterprise data.
Data platforms help organizations integrate, process, govern, analyze, and operationalize information.
AI adoption is making this category even more important.
GitHub, Atlassian, Datadog, Cloudflare, and many other companies provide tools for developers.
Developer software has become a major category because almost every significant organization increasingly depends on custom software.
Shopify represents one of the strongest examples.
Commerce platforms connect storefronts, payments, inventory, customer experiences, marketing, and operational systems.
Intuit is a prominent example.
Financial software spans accounting, tax preparation, payroll, payments, financial planning, invoicing, and related functions.
The answer depends on how “biggest” is measured.
Possible metrics include:
market capitalization
software revenue
cloud revenue
total company revenue
number of users
enterprise penetration
product breadth
developer ecosystem
Microsoft is generally the strongest candidate when considering overall software scale, ecosystem breadth, enterprise adoption, cloud infrastructure, and global influence together.
Its software presence spans an unusually broad range of categories.
Few organizations can compete simultaneously in operating systems, workplace productivity, cloud infrastructure, development platforms, databases, cybersecurity, enterprise applications, collaboration, and artificial intelligence.
That breadth gives Microsoft an extraordinary strategic position.
There is no objective answer because “best” depends on the criterion.
For overall software ecosystem strength, Microsoft is an obvious contender.
For enterprise CRM, Salesforce is one of the most important companies.
For enterprise ERP, SAP and Oracle are major leaders.
For professional creative workflows, Adobe remains enormously influential.
For accessible visual creation, Canva has transformed the market.
For collaborative interface design, Figma has become highly influential.
For enterprise workflow automation, ServiceNow is particularly strong.
For accounting and financial software aimed at small businesses and consumers, Intuit is a major leader.
For developer collaboration and project management, Atlassian has established a powerful position.
For cloud data platforms, Snowflake represents an important modern leader.
For cybersecurity, CrowdStrike is among the notable cloud-native companies.
The question should therefore usually be reframed from:
“What is the best software company?”
to:
“Which software company is strongest for the problem I need to solve?”
That produces a far more useful answer.
| Category | Notable Companies |
| Productivity | Microsoft |
| CRM | Salesforce, HubSpot |
| ERP | SAP, Oracle, Microsoft |
| Creative Software | Adobe, Canva |
| UI/UX Design | Figma |
| Professional Engineering Design | Autodesk |
| Enterprise Workflow | ServiceNow |
| HR and Finance | Workday, SAP, Oracle |
| Accounting and Finance | Intuit |
| Developer Collaboration | Atlassian, Microsoft/GitHub |
| Data Platforms | Snowflake, Palantir |
| Cybersecurity | CrowdStrike, Cloudflare, Microsoft |
| Observability | Datadog |
| Commerce | Shopify |
| Communications | Zoom |
| Cloud Infrastructure | Microsoft, Oracle, Cloudflare |
The boundaries between these categories are increasingly disappearing.
Microsoft competes in security.
Adobe competes in collaborative design.
Salesforce competes in analytics and AI.
ServiceNow competes in application development and automation.
Oracle and SAP compete across enormous enterprise portfolios.
This platform convergence is one of the most important trends in software.
To understand where the industry is heading, it helps to understand how software business models evolved.
Early software businesses commonly sold physical copies or licenses.
Customers installed applications locally.
Updates were periodic.
Revenue was often transactional.
The vendor might need to wait for the next major version before generating another significant purchase from the customer.
Large enterprise software vendors built complex applications installed within corporate infrastructure.
These products often involved:
large upfront licenses
implementation projects
consulting
maintenance contracts
customization
database infrastructure
internal IT teams
This model created enormously valuable companies but also substantial complexity for customers.
Software as a Service changed the economics.
Customers could subscribe instead of purchasing large perpetual licenses.
Vendors hosted the infrastructure.
Updates became continuous.
Deployment became faster.
Recurring revenue became more predictable.
Salesforce became one of the defining examples of this transition.
Software companies evolved beyond individual SaaS applications.
They began offering interconnected ecosystems.
APIs, marketplaces, integrations, data platforms, developer tools, and automation capabilities transformed products into platforms.
The industry is now entering another transformation.
Artificial intelligence is becoming embedded throughout software.
The question is no longer simply whether a product “has AI.”
The more important question is:
How fundamentally does intelligence change the workflow?
AI can potentially:
generate content
write code
summarize information
analyze data
predict outcomes
automate workflows
retrieve knowledge
assist customer support
identify security threats
generate designs
coordinate tasks
operate software interfaces
The companies that successfully redesign workflows around these capabilities may define the next generation of global software leaders.
Traditional software primarily waited for users to issue commands.
AI-enabled software can increasingly interpret intent.
That distinction is significant.
Consider traditional CRM.
A salesperson manually updates records, searches for opportunities, writes emails, reviews account information, and schedules follow-ups.
An AI-enabled CRM could potentially:
summarize the account
identify promising opportunities
draft communication
recommend the next action
update records automatically
analyze customer sentiment
prepare meeting notes
surface risks
predict deal outcomes
The user shifts from operating the software toward supervising outcomes.
This could fundamentally change product design.
Traditional applications organize functionality through menus, buttons, forms, dashboards, and settings.
AI agents introduce another interaction model.
Users describe objectives.
The software determines which actions are required.
That does not mean graphical interfaces disappear.
It means interfaces may become more adaptive.
AI quality depends heavily on context.
Enterprise software companies already possess access to valuable organizational context, subject to permissions and governance.
Salesforce understands customer records.
Workday manages workforce data.
SAP understands operational processes.
ServiceNow contains workflow information.
Microsoft has productivity context.
Adobe understands creative workflows.
This gives established software companies potential advantages when building domain-specific AI.
AI also introduces risk.
Enterprise buyers need answers to questions involving:
Where does data go?
How is it protected?
Can customer data train external models?
How are permissions enforced?
Can AI actions be audited?
What happens when the system is wrong?
Can administrators control AI behavior?
The companies capable of combining intelligence with enterprise governance may gain a significant advantage.
Modern discussions often use “software company” and “SaaS company” interchangeably.
They are not exactly the same.
SaaS is one software delivery and business model.
A software company may generate revenue through:
subscriptions
licenses
transactions
usage
advertising
marketplaces
hardware integration
services
or combinations of these models.
Microsoft is not purely a SaaS company.
Oracle is not purely SaaS.
Shopify combines subscriptions with merchant-related revenue.
Cloud infrastructure companies often use consumption pricing.
The most sophisticated software businesses frequently combine several monetization approaches.
Another useful distinction is the target customer.
Business-to-business software serves organizations.
Examples include:
Salesforce
SAP
ServiceNow
Workday
Snowflake
Datadog
Enterprise B2B products frequently require:
security
administration
compliance
integrations
permissions
procurement
support
implementation
The sales cycle can be long, but customer values can be substantial.
Consumer software serves individuals.
Consumer products often depend more heavily on:
simplicity
brand
viral adoption
mobile experience
low-friction onboarding
pricing accessibility
Large software companies increasingly blur these categories.
Microsoft serves both consumers and enterprises.
Adobe serves individuals, professionals, and organizations.
Canva serves individual creators and enterprise teams.
Intuit serves consumers and businesses.
This multi-segment strategy can create powerful growth opportunities.
Studying global software leaders is useful even if you are building a small startup.
Their scale may be impossible to reproduce immediately, but many underlying principles remain applicable.
Many enormous software businesses began with narrower propositions than they have today.
The temptation for new founders is to create a platform containing dozens of features.
That usually increases complexity before product-market fit exists.
A better approach is often to solve one painful problem extremely well.
Expansion can happen later.
Zoom did not invent video communication.
Canva did not invent graphic design.
Shopify did not invent online commerce.
Figma did not invent interface design.
They removed significant friction from existing workflows.
That is an important lesson.
A successful software startup does not always need a completely original market.
It may need a dramatically better experience.
The strongest software products become habits.
A CRM is used every day.
A project management platform is checked constantly.
Accounting software becomes part of monthly operations.
Design software becomes part of creative production.
Products that solve recurring problems can create stronger retention than products solving rare problems.
A successful product should create logical opportunities for customers to expand their usage.
Expansion can occur through:
more users
more functionality
more data
additional modules
premium plans
additional business units
international deployment
advanced automation
AI capabilities
The goal should be increased customer value, not arbitrary upselling.
Integrations become increasingly important as software matures.
Businesses rarely use one application.
They use dozens or hundreds.
Software that integrates effectively into this environment becomes more useful.
Security should not be treated as an afterthought.
For enterprise software especially, security is part of the product.
Buyers increasingly evaluate:
encryption
authentication
authorization
data isolation
audit logs
compliance
backup
disaster recovery
secure development
vulnerability management
privacy
A technically impressive product can lose enterprise opportunities if these foundations are weak.
A famous vendor is not automatically the right vendor.
Businesses should evaluate software according to their actual operational requirements.
Start with the business problem rather than the software category.
Instead of saying:
“We need CRM software.”
Ask:
“What specific customer-management problems are preventing our sales team from performing effectively?”
This produces clearer requirements.
Separate requirements into:
must-have
important
optional
future
Without prioritization, software evaluations become feature-counting exercises.
The product with the longest feature list is not necessarily the best product.
Ask whether the platform integrates with existing systems.
Consider:
accounting
ERP
CRM
payment systems
marketing platforms
identity providers
databases
data warehouses
communication tools
APIs
Integration problems can create substantial hidden costs.
Subscription price is only one component.
Total cost can include:
implementation
migration
customization
training
consulting
integration
administration
support
additional storage
premium features
security modules
future upgrades
A cheaper subscription can become more expensive overall if it requires extensive manual work.
Ask what happens if your organization grows tenfold.
Can the product support:
more users
more transactions
more locations
more data
international operations
complex permissions
new business units
additional integrations?
Changing foundational software later can be extremely expensive.
Mission-critical systems require dependable vendors.
Consider:
financial health
customer base
product investment
support
security history
roadmap
ecosystem
market position
The objective is not merely to buy software.
It is often to establish a multi-year technology relationship.
This is one of the most important strategic technology decisions organizations make.
Buying established software makes sense when the requirement is relatively standardized.
Examples include:
basic accounting
video conferencing
ordinary CRM
standard project management
document collaboration
Developing proprietary software can make more sense when technology itself creates competitive advantage.
Consider custom development when:
your workflow is genuinely unique
existing products require excessive compromises
the software will become a commercial product
proprietary data creates differentiation
automation could materially improve margins
specialized integrations are essential
customer experience depends on custom functionality
you need ownership over the roadmap
However, custom software requires serious investment.
Businesses must plan for:
product strategy
UX design
architecture
development
testing
security
cloud infrastructure
deployment
monitoring
maintenance
customer support
continuous improvement
The decision should therefore be based on strategic value rather than the assumption that custom development is automatically superior.
The next decade of software will likely look substantially different from the previous one.
Several trends are already reshaping the industry.
AI will gradually stop being marketed as a separate feature.
It will become an expected component of software.
Similar transitions happened with:
cloud synchronization
mobile access
search
collaboration
analytics
Eventually users stop considering these capabilities exceptional.
AI may follow the same path.
Traditional applications require users to execute each step.
Future applications may complete larger sequences of work.
For example, instead of merely displaying overdue invoices, financial software might:
identify overdue accounts
prioritize collection risk
draft customer communication
schedule follow-ups
update CRM records
escalate exceptions
prepare cash-flow forecasts
Humans remain responsible for oversight, but software performs more of the operational sequence.
Natural-language interfaces will make complex software more accessible.
A manager might ask:
“Which customer accounts are at the greatest risk this quarter and why?”
Instead of constructing reports manually, the system could analyze information and return an explanation.
This reduces the technical barrier between users and data.
Horizontal software serves many industries.
Vertical software focuses on one industry.
Examples might include specialized platforms for:
dentists
construction firms
restaurants
logistics companies
insurance brokers
law firms
manufacturers
property managers
fitness businesses
Vertical SaaS can combine software with industry-specific workflows, payments, compliance, analytics, and automation.
This creates opportunities for companies that deeply understand specialized markets.
Security will increasingly become part of every software product.
Identity, permissions, encryption, auditability, and data governance will become standard expectations rather than optional enterprise features.
CRM vendors are adding data platforms.
Productivity companies are adding AI.
Design companies are adding collaboration.
Cloud companies are adding security.
Security companies are adding observability.
ERP companies are adding analytics and AI.
The result is platform convergence.
Customers may increasingly choose ecosystems rather than individual applications.
The global software industry contains thousands of innovative companies, but a relatively small group has achieved exceptional scale, influence, product depth, ecosystem strength, and strategic importance.
Microsoft stands out for the extraordinary breadth of its software ecosystem.
Oracle remains a foundational enterprise technology company.
Salesforce helped define modern SaaS and cloud CRM.
SAP remains deeply embedded in global enterprise operations.
Adobe dominates major areas of professional creative technology while successfully building a subscription business.
ServiceNow has become a powerful enterprise workflow platform.
Intuit has built an exceptional financial software ecosystem.
Atlassian has transformed development collaboration and project management.
Workday represents the strength of cloud-native enterprise finance and HR applications.
Shopify has become essential commerce infrastructure for businesses worldwide.
Autodesk remains deeply influential across professional design, architecture, engineering, and manufacturing.
CrowdStrike represents the growing importance of cloud-native cybersecurity.
Snowflake reflects the strategic importance of enterprise data platforms.
Palantir demonstrates the value of connecting complex organizational data with operational decision-making.
HubSpot has built an accessible customer platform around marketing, sales, CRM, and service.
Zoom demonstrated how dramatically better user experience can disrupt an established software category.
Datadog has become increasingly important as cloud application complexity creates greater demand for observability.
Canva transformed visual creation by making design accessible to a much larger population.
Figma changed how digital product teams collaborate on interface design.
Cloudflare represents the growing convergence of internet infrastructure, developer platforms, networking, and cybersecurity.
Yet the larger lesson is more important than any ranking.
The world’s top software product companies succeed because they repeatedly solve valuable problems at scale.
They do not simply build features.
They create systems that become embedded within the lives, businesses, workflows, and infrastructure of their customers.
The next generation of global software leaders will likely follow the same fundamental principle, even as the technology changes.
Cloud computing changed how software was delivered.
SaaS changed how software was purchased.
Mobile changed where software was used.
AI is now changing what software can actually do.
The companies that combine strong product thinking, scalable architecture, trustworthy data practices, excellent user experience, effective business models, ecosystem development, and genuinely useful artificial intelligence will be best positioned to lead the next era of the software industry.
And that is ultimately the most useful answer to the question, “Which are the top software product companies in the world?”
Today’s leaders include Microsoft, Oracle, Salesforce, SAP, Adobe, ServiceNow, Intuit, Atlassian, Workday, Shopify, Autodesk, CrowdStrike, Snowflake, Palantir, HubSpot, Zoom, Datadog, Canva, Figma, and Cloudflare.
Tomorrow’s leaders will be the companies that make the next generation of complicated technology feel indispensable, accessible, trustworthy, and remarkably simple to use.
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