GenAI AI has truly transformed content creation by automating text, image, and video generation from simple prompts, slashing the time and skills once needed. Canva leads this shift, blending an intuitive interface with expansive templates and cutting-edge AI tools. This empowers anyone – individuals or businesses – to produce professional-quality visuals with ease, breaking down barriers and making design truly accessible.
Canva’s “Create 2025” event in Los Angeles showcased its evolution from a simple design tool into a full enterprise platform for productivity, content creation, collaboration, and brand management – embedding visual communication across the modern workplace. For tech teams, marketers, and leaders, this shift brings opportunity but also demands careful strategy, integration, and governance to unlock Canva’s full potential in enterprise settings.
Canva Create 2025: Key Announcements
Visual Suite 2.0: A Unified Workspace & Single Design Canvas. Canva unveiled Visual Suite 2.0, a seamless platform combining presentations, documents, whiteboards, spreadsheets, and video editing into one design canvas. This unified workspace helps organisations streamline workflows, eliminate tool fragmentation, and ensure consistent visual communication across teams.
Canva Sheets: Where Data Meets Design. Canva Sheets reimagines the spreadsheet by focusing on visualising data with rich charts, colour-coded cells, smart templates, automation, and AI-powered insights. Designed for teams that share data rather than just analyse it, Sheets empowers every user – including the “data shy” – to become a confident data analyst.
Canva AI: GenAI for the Creative Enterprise. The enhanced Magic Studio integrates AI-driven writing, image editing, template creation, and video animation into one toolset. Features like Magic Write, Magic Design, and Magic Animate enable teams to create branded, engaging content at scale – quickly and cost-effectively – across the entire Canva platform.
Canva Code: Low/No-Code Interactive Content. Canva Code enables users to build interactive content such as calculators, quizzes, websites, apps, and chatbots without complex coding. Combining this with Canva’s design and brand management tools lets teams create on-brand digital experiences and publish them to customers in minutes – transforming everyone into a coder and accelerating customer-facing innovation.
Why Enterprises Should Adopt Canva
Canva’s evolution into an enterprise platform offers several key advantages for larger organisations:
- Streamlined Workflows. A unified workspace and single design canvas cuts the need to switch between tools, boosting efficiency and team collaboration.
- Brand Consistency at Scale. Centralised brand controls and template governance ensure all content – from marketing to regional sales – stays on-brand. For example, eXp Realty’s central design team creates assets that agents nationwide confidently use, maintaining brand integrity.
- Scalable Content Creation. GenAI accelerates content creation and localisation, while Canva Sheets lets designers update assets at scale, reducing days of work to a single click.
- Cross-Functional Collaboration. By making design accessible, Canva empowers marketing, operations, sales, and finance teams to collaborate seamlessly on visuals, cutting bottlenecks.
- Lower Barriers to Creativity. With an easy-to-learn platform, more employees can contribute to visual storytelling without needing design expertise.
Beyond Licensing: Strategic Enterprise Adoption
Successful enterprise adoption of tools such as Canva goes beyond licensing – it requires organisational change. Here’s how enterprises can prepare:
1. Integration with the Digital Workplace Ecosystem
Enterprises must integrate new platforms with the broader toolset employees use daily. Without this, they risk becoming just another siloed app, limiting adoption and ROI.
- Enable SSO and identity management (e.g. via Azure AD or Okta).
- Integrate with storage platforms like SharePoint, Google Drive, or Box.
- Connect to collaboration and productivity tools such as Slack, Teams, Trello, and Salesforce.
2. Structured Training and Enablement
Though intuitive, enterprise features require tailored training to boost adoption and build a self-sustaining user community. Customers benefit from dedicated support – including brand kit setup, onboarding, billing, SSO configuration, and company-wide training with a dedicated Customer Success Manager.
- Deliver role-based training for marketers, HR, sales, and support.
- Establish champions in each business unit to drive adoption.
- Provide regular updates and tips as new features launch.
3. Design Governance and Brand Control
Enterprises must address concerns around brand fragmentation. This ensures that the platform acts as brand enabler – not a brand risk.
- Set up Brand Kits to enforce logos, fonts, and colours.
- Use locked templates for consistency while enabling localisation.
- Create layered permission structures to reflect organisational hierarchy.
4. Data Security, Compliance and Governance
As with any enterprise SaaS platform, security and compliance must be foundational and built into the rollout plan from day one.
- Understand data residency and privacy policies.
- Use admin controls, usage analytics, and audit logs to maintain oversight.
- Define clear policies for external sharing and publishing.
5. Defining Success Metrics
Adoption should be measured by capturing metrics that enable IT and marketing leaders to demonstrate value to the C-suite.
- Benchmark operations before and after rollout.
- Track usage, asset creation, and publishing speed.
- Monitor template use versus freeform content to gauge brand adherence.
- Survey users on productivity improvements and satisfaction.
Driving Adoption and Innovation: The Tech Team’s Mandate
For the success of tools such as Canva in enterprise settings, technology teams must move beyond gatekeeping and become proactive enablers of adoption and innovation. This involves integrating them smoothly with identity management, storage, productivity, and collaboration tools to deliver a seamless user experience. At the same time, they must enforce strict security and access controls, manage user provisioning, and monitor usage to ensure compliance and safeguard sensitive data.
But technology’s role doesn’t stop at governance. Teams need to set clear internal service standards, build strong vendor relationships, and drive consistent rollout across the organisation. Crucially, they should partner with business units to co-develop templates, embed these tools into daily workflows, and experiment with new features like AI-powered design, localisation, and self-service content creation.
Ecosystm Opinion
Canva is no longer just a tool for simple social posts or pitch decks; with its latest updates at Create 2025, it has evolved into a core platform for modern, visual-first enterprise communication. To fully realise this potential, organisations must approach Canva like any other critical enterprise platform – implementing the right structure, strategy, security, and support. For companies aiming to empower teams, speed up content creation, and maintain brand consistency at scale, Canva is now poised to take centre stage.
The energy at ServiceNow’s Knowledge25 matched the company’s ambitious direction! ServiceNow is repositioning itself as more than just an IT service platform – aiming to be the orchestration layer for the modern enterprise. Over the past two days, I’ve seen a clear focus on platform extensibility, AI-driven automation, and a push into new functional territories like CRM and ERP.
Here are my key takeaways from Knowledge25.
Click here to download “ServiceNow Knowledge25: Big Moves, Bold Bets, and What’s Next” as a PDF.
AI Everywhere: Agents and Control Towers
ServiceNow goes all in on AI Agents – and makes it easy to adopt.
Like Google, Salesforce, and AWS, ServiceNow is betting big on agents. But with a key advantage: it’s already the enterprise layer where workflows live. Its AI Agents don’t just automate tasks; they amplify what’s already working, layer in intelligence, and collaborate with other agents across systems. ServiceNow becomes the orchestration hub, just as it already is for processes and change.
ServiceNow’s AI Control Tower is a critical accelerator for AI at scale. It enforces policies, ensures compliance with internal and regulatory standards, and provides the guardrails needed to deploy AI responsibly and confidently.
The bigger move? Removing friction. Most employees don’t know what agents can do – so they don’t ask. ServiceNow solves this with hundreds of prebuilt agents across finance, risk, IT, service, CRM, and more. No guesswork. Just plug and go.
Sitting Above Silos: ServiceNow’s Architectural Advantage
ServiceNow is finally highlighting its architectural edge.
It’s one of the few platforms that can sit above all systems of record – pulling in data as needed, delivering workflows to employees and customers, and pushing updates back into core systems. While most Asia Pacific customers use ServiceNow mainly for IT help desk and service requests, its potential extends much further. Virtually anything done in ERP, CRM, SCM, or HRM systems can be delivered through ServiceNow, often with far greater agility. Workflow changes that once took weeks or months can now happen instantly.
ServiceNow is leaning into this capability more forcefully than ever, positioning itself as the platform that can finally keep pace with constant business change.
Stepping into the Ring: ServiceNow’s CRM & ERP Ambitions
ServiceNow is expanding into CRM and ERP workflows – putting itself in competition with some of the industry’s biggest players.
ServiceNow is boldly targeting CRM as a growth area, despite Salesforce’s dominance, by addressing gaps traditional CRMs miss. Customer workflows extend far beyond sales and service, spanning fulfillment, delivery, supply chain, and compliance. A simple quoting process, for instance, often pulls data from multiple systems. ServiceNow covers the full scope, positioning itself as the platform that orchestrates end-to-end customer workflows from a fundamentally different angle.
Its Core Business Suite – an AI-powered solution that transforms core processes like HR, procurement, finance, and legal – also challenges traditional ERP providers, With AI-driven automation for tasks like case management, it simplifies workflows and streamlines operations across departments.
Closing the Skills Gap: ServiceNow University
To support its vision, ServiceNow is investing heavily in education.
The refreshed ServiceNow University aims to certify 3 million professionals by 2030. This is critical to build both demand (business leaders who ask for ServiceNow) and supply (professionals who can implement and extend the platform).
But the skills shortage is a now problem, not a 2030 problem. ServiceNow must go beyond online learning and push harder on in-person classes, tutorials, and train-the-trainer programs across Asia Pacific. Major cloud providers like AWS broke through when large enterprises started training their entire workforces – not just on usage, but on development. ServiceNow needs similar scale and commitment to hit the mainstream.
Asia Pacific: ServiceNow’s Next Growth Frontier
ServiceNow’s potential is massive – and its opportunities even bigger.
In Asia Pacific, many implementations are partner-led, but most partners are currently focused on the platform’s legacy IT capabilities. To unlock growth, ServiceNow needs to empower its partners to engage beyond IT and connect with business leaders.
Despite broader challenges like shrinking tech budgets, fragmented decision-making, and decentralised tech ownership, ServiceNow has a clear path forward. By upskilling partners, simplifying its narrative, and adapting quickly, it’s well-positioned to continue its growth and surpass the hurdles many other software vendors face.
2024 has started cautiously for organisations, with many choosing to continue with tech projects that have already initiated, while waiting for clearer market conditions before starting newer transformation projects. This means that tech providers must continue to refine their market messaging and enhance their service/product offerings to strengthen their market presence in the latter part of the year. Ecosystm analysts present five key considerations for tech providers as they navigate evolving market and customer trends, this year.
Navigating Market Dynamics
Continuing Economic Uncertainties. Organisations will focus on ongoing projects and consider expanding initiatives in the latter part of the year. This means that tech providers should maintain visibility and trust with existing clients. They also need to help their customers meet multiple KPIs.
Popularity of Generative AI. For organisations, this will be the time to go beyond the novelty factor and assess practical business outcomes, allied costs, and change management. Tech providers need to include ROI discussions for short-term and mid-term perspectives as organisations move beyond pilots.
Infrastructure Market Disruption. Tech leaders will keep an eye out for advancements and disruptions in the market (likely to originate from the semiconductor sector). The disruptions might require tech vendors to re-assess the infrastructure partner ecosystem.
Need for New Tech Skills. Tech leaders will evaluate Generative AI’s impact on AIOps and IT Architecture; invest in upskilling for talent retention. Tech providers must prioritise creating user-friendly experiences to make technology accessible to business users. Training and partner enablement will also need a higher focus.
Increased Focus on Governance. Tech leaders will consult tech vendors on how to implement safeguards for data usage, sharing, and cybersecurity. This opens up opportunities in offering governance-related services.
5 Key Considerations for Tech Vendors
#1 Get Ready for the Year of the AI Startup
While many AI companies have been around for years, this will be the year that many of them make a significant play into enterprises in Asia Pacific. This comes at a time when many organisations are attempting to reduce tech debt and simplify their tech architecture.
For these AI startups to succeed, they will need to create watertight business cases, and do a lot of the hard work in pre-integrating their solutions with the larger platforms to reduce the time to value and simplify the systems integration work.
To respond to these emerging threats, existing tech providers will need to not only accelerate their own use of AI in their platforms, but also ramp up the education and promotion of these capabilities.
#2 Lead With Data, Not AI Capabilities
Organisations recognise the need for AI to enhance their workforce, improve customer experience, and automate processes. However, the initial challenge lies in improving data quality, as trust in early AI models hinges on high-quality training data for long-term success.
Tech vendors that can help with data source discovery, metadata analysis, and seamless data pipeline creation will emerge as trusted AI partners. Transformation tools that automate deduplication and quality assurance tasks empower data scientists to focus on high-value work. Automation models like Segment Anything enhance unstructured data labeling, particularly for images. Finally synthetic data will gain importance as quality sources become scarce.
Tech vendors will be tempted to capitalise on the Generative AI hype but for sake of positive early experiences, they should begin with data quality.
#3 Prepare Thoroughly for AI-driven Business Demand
Besides pureplay AI opportunities, AI will drive a renewed and increased interest in data and data management. Tech and service providers can capitalise on this by understanding the larger picture around their clients’ data maturity and governance. Initial conversations around AI can be door openers to bigger, transformational engagements.
Tech vendors should avoid the pitfall of downplaying AI risks. Instead, they should make all efforts to own and drive the conversation with their clients. They need to be forthcoming about their in-house responsible AI guidelines and understand what is happening in AI legislation world-wide (hint: a lot!)
Tech providers must establish strong client partnerships for AI initiatives to succeed. They must address risk and benefit equally to reap the benefits of larger AI-driven transformation engagements.
#4 Converge Network & Security Capabilities
Networking and security vendors will need to develop converged offerings as these two technologies increasingly overlap in the hybrid working era. Organisations are now entering a new phase of maturity as they evolve their remote working policies and invest in tools to regain control. They will require simplified management, increased visibility, and to provide a consistent user experience, wherever employees are located.
There has already been a widespread adoption of SD-WAN and now organisations are starting to explore next generation SSE technologies. Procuring these capabilities from a single provider will help to remove complexity from networks as the number of endpoints continue to grow.
Tech providers should take a land and expand approach, getting a foothold with SASE modules that offer rapid ROI. They should focus on SWG and ZTNA deals with an eye to expanding in CASB and FWaaS, as customers gain experience.
#5 Double Down on Your Partner Ecosystem
The IT services market, particularly in Asia Pacific, is poised for significant growth. Factors, including the imperative to cut IT operational costs, the growing complexity of cloud migrations and transformations, change management for Generative AI capabilities, and rising security and data governance needs, will drive increased spending on IT services.
Tech services providers – consultants, SIs, managed services providers, and VARs – will help drive organisations’ tech spend and strategy. This is a good time to review partners, evaluating whether they can take the business forward, or whether there is a need to expand or change the partner mix.
Partner reviews should start with an evaluation of processes and incentives to ensure they foster desired behaviour from customers and partners. Tech vendors should develop a 21st century partner program to improve chances of success.
Moving from a product or regional focus to an industry focus appears to be the “strategy du jour” for many technology vendors today. For some it is a new strategy – with the plan to improve customer focus and increase growth; for others it is the pendulum moving back to where they were five or ten years ago as they bounce from being industry-centric to product-centric to geography-centric and back again.
Getting your industry focus right is much harder than it seems – and has to be timed with client needs and market opportunity. The need to focus on the industry varies for different technology products, services and capabilities. For example, most technology buyers want their vendors to understand what their business does and how they add value to customers – that is a given and industry-aligned Sales teams make a lot of sense. Many tech buyers also want certain software functions to align directly to their processes – there is little appetite to customise ERP and financial suites to specific industry needs and processes – and tech vendors should support these out-of-the-box or cloud needs.
Industry Solutions May Not Drive Competitive Advantage
If the industry solution you are selling is the same as what any of their competitors can buy from you, then organisations get the exact same benefit as the market – no more, no less. For example, about 10-15 years ago, large telecom providers around the globe made significant investments in CRM platforms (often from Siebel) – bringing in one of a few large global systems integrators to deploy their standard processes and systems. These CRMs were supposed to provide business and customer benefit, and drive competitive advantage. And while they did deliver positive change (often at SIGNIFICANT cost!) when every telecom provider was using the same solution with the same or similar processes, any competitive advantage was lost.
Industry Solutions are Often the Sign of a Mature Market
The widely accepted hypothesis is that the technology innovation and adoption happens in waves. The market has 5-7 year waves of innovation, followed by 5-7 year waves of deployment, adoption and consolidation.
The Innovation Phase. In this stage new companies emerge, new products or services are launched and leading/bleeding edge companies embrace these new technologies to drive competitive advantage and business growth. They experiment with new technologies that drive new business capabilities – sometimes failing, but always pushing the envelope for business innovation and forging the path for mass market adoption. In this stage there is often little demand for industry solutions – as both the providers and buyers of the solutions are still working out where the business benefit is; where the technology might be able to drive change or help them get ahead of competitors. If you examine the growth of a company such as Salesforce, you see that the early stage products are targeted towards a generic market – customers are expected to customise the solution based on their needs and individual requirements. In 2002 I worked for a challenger telecom provider that had deployed a traditional Peoplesoft CRM capability, and I was part of the team that brought Salesforce into the business – and as a cloud-based solution, we saw the competitive advantage was the pace at which we could customise the product (by excluding IT teams and processes). However, the solution was a “one-size-fits-all” product. The innovation stage is typically characterised by high growth of smaller vendors and technology service providers who challenge the status quo.
The Deployment, Adoption and Consolidation Phase. This stage of market growth is when the mass market starts to adopt these solutions. Many of these buyers walk the paths that have been forged before them by the more innovative, leading edge businesses. This stage typically sees less innovation, less experimentation, and more standard deployments. To make the solutions more palatable and easier to sell to the mass market tech vendors typically pre-configure or customise the solutions to specific needs – for business teams, roles or industries. It is usually in this stage of market growth and deployment that the industry solutions see significant interest and adoption. This is where the mass market gets access to the business benefits the more innovative businesses received many years earlier (and often profited from in this time). In my example of the Salesforce deployment in 2002, over the following years many partners started to create industry solutions, and eventually Salesforce themselves sold industry-specific solutions – or at least targeted certain products and capabilities at specific industries and provided accelerated deployment models to drive advantage at a faster rate. The deployment and consolidation stage of market growth is typically characterised by steady, slow growth across the entire market as benefits are being driven to all providers (product vendors and solutions or implementation providers). Legacy providers either play catch up or suffer declining business as they realise the solution they sell no longer provides the business and customer the benefits that it used to.
Industry Focus Should be Aligned to Customer Segments, Solution Type and Geography
The decision to sell industry-focused solutions should be driven by the type of solution you are selling; the business benefit you are promising; and the type of business you are targeting the solution towards. Businesses that are more innovative will still buy some pre-configured, industry-specific solutions that don’t differentiate their business or drive competitive advantage. But where they expect competitive advantage, they need to stand apart – to be the only business with that capability.
It is also worth understanding that an innovation in one market might be standard practice in another (and vice-versa). Countries across the globe and specifically here in Asia Pacific have different approaches to technology and innovation. China and parts of Southeast Asia are often innovators – pushing the boundaries of new and emerging tech to do things we never thought possible (in the same way Silicon Valley traditionally has done). Australia and India are traditional markets that adopt industry solutions after they have been tried and tested by others. Innovation in Japan seems to happen in stages and at pace but only once every 10-15 years or so. New Zealand and Singapore are generally more nimble economies where businesses often have to be innovative to gain global competitive advantage quickly.
Evidence indicates that the rate of innovation is increasing across the entire region – even in the less innovative economies. The window for industry solutions is much smaller regardless of location – as the next new innovation is just around the corner. Even the large, traditionally less agile businesses are driving innovation programs – for example, many of the big financial services “dinosaurs” such as DBS and Commonwealth Bank often win tech innovation awards and offer market-leading customer experiences.
Use this lens to better develop your industry approach. The depth of your industry solution or capability will dictate the opportunities that you will drive based on the type of customer and technology stage. Do you want to drive innovation or efficiency in your clients? Do you want to win the big “safer” deals – but be thought of as a technology solution provider; or win the smaller deals in companies that will become the market leaders of tomorrow – and be considered a market leader and king maker? Understanding your own business goals, the current sales and delivery capabilities, and the capacity to change will help your company create a go-to-market strategy that suits your current and future customers and will likely dictate the growth rate of your business over the next 5-7 years.
Keep yourself abreast with the latest industry trends
Ecosystm market insights, data, and reports are jam-packed with industry analysis and digital trends across several industry verticals to help you keep tabs on the fast-paced world of tech.
