With teams spread out across locations, the need for reliable, cloud-based knowledge management tools has grown. In 2024, the global knowledge management market was valued at $773.6 billion. It’s projected to reach over $3.5 trillion by 2034, showing steady long-term growth.
livepro is one of the platforms helping organisations respond to this shift by making it easier to store, access, and share accurate information.
In this article, we’ll look at the key knowledge management trends and statistics shaping the future of work.
Knowledge Management Adoption and Impact Statistics
The adoption of knowledge management tools has grown in recent years, but many organisations still face challenges with fragmentation.
According to KMWorld, 36% of respondents say their company uses three or more KM tools. Another 12% use two or three, while 31% aren’t even sure how many tools they have in place. This lack of visibility makes creating a unified knowledge strategy harder and often leads to duplication, outdated content, and inconsistent experiences.
Company size also plays a role in how knowledge is managed. Research from APQC shows that larger organisations tend to have more mature KM systems in place, supported by stronger budgets, dedicated teams, and integrated platforms. Smaller businesses often rely on less formal processes, which can limit scalability and long-term effectiveness.
When done well, though, knowledge management delivers real results. According to IDC:
- 39% of organisations improved business execution, including better decision-making and faster time to market.
- 35% saw gains in customer support, such as reduced service volumes and quicker resolutions.
- 35% reported higher satisfaction and engagement among both employees and customers.
- 35% noted improvements in employee performance, including productivity, learning, and collaboration.
Key Trends in Knowledge Management in 2025
In 2025, the way organisations manage knowledge is changing. New tools, smarter technology, and changing work habits are shaping how teams find and use information every day.
The Rise of AI and ML in Knowledge Management
Artificial intelligence (AI) and machine learning (ML) are changing how knowledge is managed, shared, and used at work. These technologies help teams move beyond static documents and make knowledge easier to find, personalize, and apply.
Recent data shows how important AI has become in knowledge management:
- 38% of KM teams use AI to recommend content or knowledge assets.
- 31% use generative AI to create new content.
- 28% rely on intelligent or AI-driven search.
- 27% list incorporating AI and smart technology as a top priority.
These trends show a move toward systems that actively support daily tasks. AI helps deliver timely, relevant information based on what users are working on, making knowledge easier to apply in real situations.
Machine learning adds another layer by recognising patterns in how content is used. This helps surface insights that often stay hidden in informal conversations or scattered documents.
Advanced Knowledge Discovery Techniques
Organisations are shifting toward smarter ways of finding and using knowledge. Instead of relying on keyword searches, they’re using tools like knowledge graphs, semantic search, and natural language processing (NLP) to make information easier to access and apply.
These techniques help systems understand relationships, context, and meaning, making knowledge delivery more accurate and useful.
Key stats and developments:
- 80% of data and analytics innovations will use graph technologies by 2025, up from just 10% a few years ago.
- Gartner places knowledge graphs on the Slope of Enlightenment, with more enterprises recognising their benefits and launching pilot projects.
- 38% of KM teams use AI to recommend content or knowledge assets (APQC).
- 18% of the NLP market focuses on automatic summarisation, helping teams condense long documents.
- 17% is dedicated to content management, showing the need to organise growing volumes of text.
- 17% is tied to sentiment analysis, which helps interpret feedback and intent.
- 10% of the market is focused on data extraction, turning unstructured content into structured insights.
Knowledge graphs connect related concepts and content, allowing systems to deliver more relevant results. Semantic search uses this structure, along with NL,P to understand user intent.
Personalization of Knowledge Delivery
As knowledge systems grow, it becomes harder for employees to sort through everything and find what’s useful. Personalization helps by showing information that fits each user’s role, recent activity, and day-to-day tasks. This makes it easier to find what’s needed without wasting time on irrelevant content.
It also improves results. 86% of companies have seen measurable business improvements after using hyper-personalization. When people get the right information at the right time, they can work more efficiently and make faster decisions.
Collaborative Knowledge Management Platforms
36% of knowledge management teams are prioritizing collaboration and digital workplace tools in their current strategy. This includes building systems that support shared editing, real-time communication, and integration with everyday tools like Slack, Microsoft Teams, or internal chat platforms.
When teams can work together directly within a knowledge platform, it becomes easier to keep content accurate and up to date. Subject matter experts can leave comments, add context, or flag outdated information without needing a separate process.
This helps reduce silos, encourages more participation, and keeps knowledge aligned with how work actually gets done.
Focus on Data Governance and Quality for Effective Knowledge Management
Good knowledge management depends on reliable, up-to-date information. Without strong data governance, knowledge systems can quickly become cluttered with outdated, inconsistent, or duplicate content, making it harder for teams to find and trust what they need.
In 2024, 71% of organizations report having a data governance program in place, up from 60% in 2023. This rise shows how data quality and governance are becoming a core focus, especially as companies adopt more advanced technologies.
62% of respondents say data governance is one of the top challenges when using AI in their business. Poor data quality limits the effectiveness of AI tools, especially in knowledge systems that rely on accurate inputs to deliver helpful answers.
A clear data governance framework helps define who owns what content, how often it’s reviewed, and what standards must be followed. This keeps knowledge clean, usable, and aligned with how the organization works.
Cloud-Based Knowledge Management
Cloud platforms have become a key part of how organizations manage knowledge. With distributed teams and growing volumes of information, cloud systems offer the flexibility and access needed to keep knowledge usable and up to date.
By the end of 2025:
- 50% of all data is expected to be stored in the cloud, up from 25% in 2015.
- Over 78% of organizations are using two or more cloud providers, compared to 71% last year.
These figures reflect a steady move toward more resilient and scalable systems. Cloud-based knowledge management makes it easier to support remote access, keep information connected across platforms, and allow teams to work with shared content in real time.
Integration of Knowledge Management with Everyday Tools and Workflows
For knowledge management to work well, it needs to be part of the tools employees already use. Integrating KM with platforms like email, chat, project management software, or CRMs helps teams access information without breaking their flow.
90% of teams that use structured knowledge management practices report better decision-making. When knowledge is built into daily workflows, it’s easier for teams to find what they need, apply it quickly, and keep work moving without delay.
Conclusion
The way organisations manage knowledge is becoming more structured, connected, and focused on real use. With growing content, remote teams, and faster decision-making needs, it’s no longer enough to just store information. Knowledge must be easy to find, easy to maintain, and useful in daily work.
livepro is a cloud-based knowledge management platform built for contact centers and enterprises. It helps users find accurate answers quickly through features like guided search, AI Assist, and real-time analytics.
Book a demo to see how livepro can improve knowledge delivery across your contact center and enterprise.
Sources
- Knowledge Management Market Report – Fact.MR. Evaluated March 27, 2025.
Link Here - The State of Knowledge Management – KMWorld. Evaluated March 27, 2025.
Link Here - Knowledge Management Today – IDC. Evaluated March 27, 2025.
Link Here - Knowledge Management Priorities – APQC. Evaluated March 27, 2025.
Link Here - Hype Cycle for Artificial Intelligence – Gartner. Evaluated March 27, 2025.
Link Here - Natural Language Processing Statistics – Market.us. Evaluated March 27, 2025.
Link Here - Hyper-Personalization Trends – CMSWire. Evaluated March 27, 2025.
Link Here - Collaboration and KM – TechTarget. Evaluated March 27, 2025.
Link Here - Data Governance Adoption – Precisely. Evaluated March 27, 2025.
Link Here - Cloud Computing Statistics – Spacelift. Evaluated March 27, 2025.
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