Cognitive Collaboration Market Report 2025

This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The cognitive collaboration market size has grown rapidly in recent years. It will grow from $16.5 billion in 2024 to $19.62 billion in 2025 at a compound annual growth rate (CAGR) of 18.9%. The growth in the historic period can be attributed to growing complexity of work, rise of remote work, data explosion, user experience enhancement, integration of unified communications.

The cognitive collaboration market size is expected to see rapid growth in the next few years. It will grow to $40.08 billion in 2029 at a compound annual growth rate (CAGR) of 19.5%. The growth in the forecast period can be attributed to evolution of natural language processing (NLP), increased emphasis on employee well-being, enhanced security measures, adoption of edge computing, hybrid work models. Major trends in the forecast period include continuous innovation in AI, augmented reality (AR) and virtual reality (VR) integration, integration of AI and collaboration tools, context-aware collaboration, predictive analytics for decision-making.

The increasing adoption of cloud-based solutions is anticipated to drive the growth of the cognitive collaboration market in the coming years. Cloud-based solutions refer to services, applications, or resources that are hosted, accessed, and managed remotely over the Internet, eliminating the requirement for on-site infrastructure. The rise in cloud adoption boosts cognitive collaboration by facilitating real-time data sharing, improved accessibility, and seamless integration of AI-driven tools across teams located in different regions. The use of cloud solutions supports more efficient and insightful decision-making processes. For example, in December 2023, the European Commission (EC), the executive body of the European Union (EU) based in Belgium, reported a 4.2 percentage-point increase in cloud adoption across the EU, with 45.2% of enterprises now using cloud computing services, marking a significant rise from 2021. Thus, the growing adoption of cloud solutions is fueling the cognitive collaboration market’s expansion.

The rising adoption of artificial intelligence (AI) is also expected to drive the growth of the cognitive collaboration market. Artificial intelligence (AI) is a branch of computer science focused on creating smart machines capable of performing tasks that typically require human intelligence. AI enhances cognitive collaboration by automating repetitive tasks, offering real-time insights, and facilitating seamless communication, which leads to more efficient and productive teamwork. For instance, in May 2022, the International Business Machines Corporation (IBM), a U.S.-based technology company, reported that 35% of businesses worldwide were using AI in 2022, a 4% increase from 2021. Therefore, the rising adoption of AI is propelling the growth of the cognitive collaboration market.

Key companies in the cognitive collaboration market are focusing on introducing innovative generative AI systems, such as cognitive paths, to gain a competitive advantage. Cognitive AI plays a crucial role in cognitive collaboration, enabling managers to become proficient users of AI and unlock its full potential for businesses. In June 2023, Mphasis, an Indian information technology service company, launched Mphasis.ai, aiming to maximize business outcomes by leveraging artificial intelligence (AI) to transform global enterprises. The business unit seamlessly incorporates AI capabilities into existing technological environments, allowing enterprises to enhance operational efficiency, customer intimacy, and overall disruption reduction. The services offered drive business outcomes, deliver tailored experiences, and revolutionize the way businesses operate, among other benefits for enterprise clients.

In January 2022, ei3 Corporation, a US-based provider of Industrial IoT platform as a service (PaaS), acquired Cognitive Solutions and Innovation AG (COGSI AG) for an undisclosed amount. The acquisition is expected to provide ei3's industrial clients with access to advanced AI technologies that can optimize operations, reduce costs, and improve efficiency. Cognitive Solutions and Innovation AG (COGSI AG) is a Switzerland-based company delivering advanced artificial intelligence solutions for industrial manufacturing.

Major companies operating in the cognitive collaboration market report are Google LLC, Microsoft Corporation, The International Business Machines Corporation, Deloitte Touche Tohmatsu Limited, Cisco Systems Inc., Oracle Corporation, Nokia Oyj, Zoom Video Communications Inc., Atlassian Inc., Avaya Inc., Tata Communications Limited, RingCentral Inc., Nuance Communications Inc., 8x8 Inc., Lucid Software Inc., Aurea Software Inc., RealtimeBoard Inc., IGLOO Inc., Domo Inc., Wrike Inc., Lansweeper NV, Evernote Corporation, Resemble Systems India Private Limited, Bluescape Resources Company LLC, Mattermost Inc., Loop AI Labs Inc., Notion Labs Inc., Softweb Solutions Inc., Beezy Inc., KonoLabs Inc.

North America was the largest region in the cognitive collaboration market in 2024. The regions covered in the cognitive collaboration market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the cognitive collaboration market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The cognitive collaboration market includes revenues earned by entities by providing intelligent document management, AI-powered knowledge sharing, and conversational AI assistance. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

Cognitive collaboration describes the collaborative synergy between humans and advanced artificial intelligence (AI) systems, enhancing teamwork by harnessing AI's capability to process, analyze, and derive insights from data. This collaboration aims to foster creative problem-solving and informed decision-making, ultimately augmenting human intelligence for more efficient and effective collaboration across various domains.

The primary components of cognitive collaboration include solutions and services. A solution refers to a connected set of software applications and services presented as a unified unit. It can be deployed in the cloud or on-premises across organizations of varying sizes, encompassing small and medium enterprises as well as large enterprises. These solutions find application in diverse areas, such as data analytics, facial recognition, and social media assistance. They are utilized across various industry verticals, including banking, financial services, and insurance (BFSI), healthcare, education, energy and utilities, IT and telecom, retail, and others.

The cognitive collaboration market research report is one of a series of new reports that provides cognitive collaboration market statistics, including cognitive collaboration industry global market size, regional shares, competitors with a cognitive collaboration market share, detailed cognitive collaboration market segments, market trends and opportunities, and any further data you may need to thrive in the cognitive collaboration industry. This cognitive collaboration market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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