Edit Content

Bizwit Research & Consulting LLP is a global provider of business intelligence & consulting services. We have a strong primary base of key industry leaders along with the chain of industry analysts to analyze the market trends and its future impact in order to estimates and forecast different business segments and markets. 

Global Enterprise Collaboration Market to reach USD xx billion by the end of 2030.

Global Enterprise Collaboration Market Size study & Forecast, by Type (Solution, Service), by Organization Size (SMEs, Large Enterprises), by Deployment Mode (On-premises, Cloud), by End Users (IT and Telecommunication, BFSI, Healthcare and Life Sciences, Energy and Utilities, Others) and Regional Analysis, 2023-2030

Product Code: ICTEITS-66492721
Publish Date: 30-10-2023
Page: 200

Global Enterprise Collaboration Market is valued at approximately USD xx billion in 2022 and is anticipated to grow with a healthy growth rate of more than xx% over the forecast period 2023-2030. Enterprise collaboration refers to the process of individuals within an organization working together to achieve common goals and objectives through various tools and technologies. It involves the sharing of information, ideas, and resources among employees, departments, and even external partners to enhance productivity, streamline workflows, and foster innovation. The Enterprise Collaboration market is expanding because of factors such as the rising number of SMEs and the growing adoption of cloud. Successful enterprise collaboration initiatives often require strong leadership support, a collaborative mindset among employees, and a well-defined strategy for implementing and integrating collaboration tools across the organization. As a result, the demand for Enterprise Collaboration has progressively increased in the international market during the forecast period 2023-2030.

SMEs often operate in niche markets or focus on specific industries, bringing unique perspectives and expertise to the table. When collaborating with larger enterprises, their specialized knowledge can lead to innovative solutions and insights that might not have been considered otherwise. According to Statista, there were estimated to be approximately 332.99 million SMEs worldwide in 2021. Furthermore, the continent with the most SMEs was Asia having 186.1 million in 2021. Another important factor that drives the Enterprise Collaboration market is the increasing adoption of the cloud. Cloud-based collaboration tools often include communication features such as instant messaging, video conferencing, and team chat, fostering real-time and direct communication among team members. In addition, as per Statista, in 2021, the global cloud applications market accounts for USD 133.6 billion and is expected to reach up to USD 168.6 billion by 2025. Moreover, the rising trend of remote work and increasing usage of smartphones are anticipated to create lucrative growth opportunities for the market over the forecast period. However, data privacy concern and the technical complexity of enterprise collaboration is going to impede overall market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Enterprise Collaboration Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the presence of key market players and the increasing adoption of enterprise collaboration solutions and services in the region. The region’s dominant performance is anticipated to propel the overall demand for Enterprise Collaboration solutions. Furthermore, Asia Pacific is expected to grow fastest during the forecast period, owing to factors such as government initiatives to promote the digital infrastructure in the region.

Major market player included in this report are:
Salesforce, Inc
Citrix Systems, Inc
Cisco Systems, Inc
Atlassian Corporation Plc
Meta Platforms, Inc
Adobe Inc
Microsoft Corporation
Alphabet Inc
International Business Machines Corporation
VMware, Inc
Recent Developments in the Market:
Ø In February 2023, Cisco and NTT Ltd., a global provider of IT infrastructure and services, collaborated to accelerate Private 5G adoption in the Automotive, Logistics, Healthcare, Retail, and public sectors. NTT and Cisco want to present technologies and managed services that enables enterprise clients to successfully implement Private 5G and achieve improved business outcomes. The companies intend to speed up edge connectivity by combining NTT’s first-to-market Managed Private 5G solution with Intel hardware, allowing Cisco and NTT clients to effortlessly incorporate private 5G into their existing LAN/WAN/Cloud infrastructure.

Global Enterprise Collaboration Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, Organization Size, Deployment Mode, End Users, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type

By Organization Size
Large Enterprises

By Deployment Mode

By End Users
IT and Telecommunication
Healthcare and Life Sciences
Energy and Utilities

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Enterprise Collaboration Market, by Region, 2020-2030 (USD Billion)
1.2.2. Enterprise Collaboration Market, by Type, 2020-2030 (USD Billion)
1.2.3. Enterprise Collaboration Market, by Organization Size, 2020-2030 (USD Billion)
1.2.4. Enterprise Collaboration Market, by Deployment Mode, 2020-2030 (USD Billion)
1.2.5. Enterprise Collaboration Market, by End Users, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Enterprise Collaboration Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Enterprise Collaboration Market Dynamics
3.1. Enterprise Collaboration Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising number of SMEs Growing adoption of Cloud
3.1.2. Market Challenges Data privacy concern Technical complexity
3.1.3. Market Opportunities Rising trend of remote work Increasing usage of smartphones
Chapter 4. Global Enterprise Collaboration Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Enterprise Collaboration Market, by Type
5.1. Market Snapshot
5.2. Global Enterprise Collaboration Market by Type, Performance – Potential Analysis
5.3. Global Enterprise Collaboration Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Enterprise Collaboration Market, Sub Segment Analysis
5.4.1. Solution
5.4.2. Service
Chapter 6. Global Enterprise Collaboration Market, by Organization Size
6.1. Market Snapshot
6.2. Global Enterprise Collaboration Market by Organization Size, Performance – Potential Analysis
6.3. Global Enterprise Collaboration Market Estimates & Forecasts by Organization Size 2020-2030 (USD Billion)
6.4. Enterprise Collaboration Market, Sub Segment Analysis
6.4.1. SMEs
6.4.2. Large Enterprises
Chapter 7. Global Enterprise Collaboration Market, by Deployment Mode
7.1. Market Snapshot
7.2. Global Enterprise Collaboration Market by Deployment Mode, Performance – Potential Analysis
7.3. Global Enterprise Collaboration Market Estimates & Forecasts by Deployment Mode 2020-2030 (USD Billion)
7.4. Enterprise Collaboration Market, Sub Segment Analysis
7.4.1. On-premises
7.4.2. Cloud
Chapter 8. Global Enterprise Collaboration Market, by End Users
8.1. Market Snapshot
8.2. Global Enterprise Collaboration Market by End Users, Performance – Potential Analysis
8.3. Global Enterprise Collaboration Market Estimates & Forecasts by End Users 2020-2030 (USD Billion)
8.4. Enterprise Collaboration Market, Sub Segment Analysis
8.4.1. IT and Telecommunication
8.4.2. BFSI
8.4.3. Healthcare and Life Sciences
8.4.4. Energy and Utilities
8.4.5. Others
Chapter 9. Global Enterprise Collaboration Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Enterprise Collaboration Market, Regional Market Snapshot
9.4. North America Enterprise Collaboration Market
9.4.1. U.S. Enterprise Collaboration Market Type breakdown estimates & forecasts, 2020-2030 Organization Size breakdown estimates & forecasts, 2020-2030 Deployment Mode breakdown estimates & forecasts, 2020-2030 End Users breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Enterprise Collaboration Market
9.5. Europe Enterprise Collaboration Market Snapshot
9.5.1. U.K. Enterprise Collaboration Market
9.5.2. Germany Enterprise Collaboration Market
9.5.3. France Enterprise Collaboration Market
9.5.4. Spain Enterprise Collaboration Market
9.5.5. Italy Enterprise Collaboration Market
9.5.6. Rest of Europe Enterprise Collaboration Market
9.6. Asia-Pacific Enterprise Collaboration Market Snapshot
9.6.1. China Enterprise Collaboration Market
9.6.2. India Enterprise Collaboration Market
9.6.3. Japan Enterprise Collaboration Market
9.6.4. Australia Enterprise Collaboration Market
9.6.5. South Korea Enterprise Collaboration Market
9.6.6. Rest of Asia Pacific Enterprise Collaboration Market
9.7. Latin America Enterprise Collaboration Market Snapshot
9.7.1. Brazil Enterprise Collaboration Market
9.7.2. Mexico Enterprise Collaboration Market
9.8. Middle East & Africa Enterprise Collaboration Market
9.8.1. Saudi Arabia Enterprise Collaboration Market
9.8.2. South Africa Enterprise Collaboration Market
9.8.3. Rest of Middle East & Africa Enterprise Collaboration Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. Salesforce Inc Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.3.2. Citrix Systems, Inc
10.3.3. Cisco Systems, Inc
10.3.4. Atlassian Corporation Plc
10.3.5. Meta Platforms, Inc
10.3.6. Adobe Inc
10.3.7. Microsoft Corporation
10.3.8. Alphabet Inc
10.3.9. International Business Machines Corporation
10.3.10. VMware, Inc
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

Need Assistance

Contact Person -
Krishant Mennon
Call us @
+ 91 99931 15879
Email: sales@bizwitresearch.com


Why Choose Us?

Quality over Quantity

Backed by 60+ paid data sources our reports deliver crisp insights with no compromise quality.

Analyst Support

24x7 Chat Support plus
free analyst hours with every purchase

Flawless Methodology

Our 360-degree approach of market study, our research methods leave stones unturned.

Enquiry Now