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市場調查報告書

商品編碼

1360036

全球認知協作市場 - 2023-2030

Global Cognitive Collaboration Market - 2023-2030

出版日期: 2023年10月11日 | 出版商:

DataM Intelligence | 英文 206 Pages | 商品交期: 約2個工作天內

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簡介目錄

概述：

全球認知協作市場在 2022 年達到 98 億美元，預計到 2030 年將達到 369 億美元，2023-2030 年預測期間複合年成長率為 18.3%。

人工智慧和自然語言處理技術的快速發展使得開發能夠理解和處理人類語言的智慧協作工具成為可能，使互動更加高效和有效。 COVID-19 大流行加速了向遠端和混合工作模式的轉變，這對數位協作工具產生了更大的需求。認知協作工具可以幫助彌合遠距團隊成員之間的差距並促進無縫溝通。

例如，2023 年9 月15 日，面向技術團隊的安全協作平台Mattermost 宣布了多項以公共部門為重點的合作夥伴關係，旨在支援國防部(DoD) 內的Microsoft 和Atlassian 解決方案，並促進人工智慧、開發/安全的採用/ChatOps 和跨國防和民用機構的零信任解決方案以及這種合作關係使Mattermost 能夠作為中央安全協作中心運行，以支援Contegix 的FedRAMP 高平台，使公共部門機構能夠在統一介面中存取和使用本機Atlassian 應用程式。

北美在全球認知協作市場中佔據主導地位，佔據超過 2/3 的市場佔有率，企業正在積極追求數位轉型，以保持競爭力和敏捷性。現代用戶期望協作工具具有方便用戶使用且直覺的介面。認知協作平台優先提供無縫和個人化的體驗，與使用者產生共鳴。

動態：

企業生產力標準

認知協作的主要目標是提高工作場所的效率和生產力。透過自動化日常任務和簡化工作流程，企業可以用更少的資源實現更高的產出。現代員工期望使用者友善且直覺的協作工具。認知協作解決方案專注於為使用者提供無縫且愉快的體驗。認知協作工具可以與現有的業務軟體和應用程式整合，確保它們適合組織的現有技術堆疊。

根據agilityeffect.com報導，2020年10月，認知協作正在透過利用人工智慧、雲端運算和資料來提高員工體驗和生產力，從而改變企業的運作方式。隨著行動和遠距工作的興起，認知協作工具使員工能夠透過各種管道保持聯繫和有效溝通，從而促進遠端團隊合作和協作。根據 Tech Target 2019 年 10 月的數據，85% 的組織正在大力投資數位轉型。

合作措施促進技術推動市場

人工智慧 (AI) 和機器學習 (ML) 技術的快速發展為認知協作奠定了基礎。現代用戶期望無縫、直覺和個人化的協作體驗。認知協作平台專注於提供使用者友善的介面和體驗以提高採用率。認知協作平台利用人工智慧和機器學習，透過專注於提供使用者友善的介面和體驗來實現這些目標。

例如，愛爾蘭數位製造於 2023 年 5 月 30 日推出了視覺認知製造集團，作為一項行業合作計劃，旨在促進視覺技術在製造業中的部署。 VCMG 旨在將電腦視覺和人工智慧解決方案結合起來，以提高愛爾蘭製造商在工業 4.0 生態系統中的競爭力。

人工智慧驅動的認知協作的進步

認知協作基於自然語言處理（NLP）、機器學習和深度學習等人工智慧技術。隨著人工智慧的發展和完善，它正在實現日益複雜和智慧的協作功能。認知協作系統由不斷成長的資料（有時稱為「大資料」）提供動力，這些系統依賴大量資料集來學習和產生有洞察力的建議。

例如，2023 年 8 月 17 日，流行的設計平台 Canva 推出了多項創新功能，以增強小型企業的設計體驗，這些功能著重於協作、包容性和生產力。 Canva 白板經過改造，為集思廣益和協作提供了廣闊的空間。用戶現在可以在便利貼上標記自己的名字，以便輕鬆識別貢獻者。

資料安全和耗時的過程

認知協作依賴於收集和分析大量資料，包括使用者互動和內容，這會引發隱私問題，因為敏感資訊可能會被存取或暴露。確保資料安全並遵守 GDPR 等法規至關重要。認知協作工具的有效性取決於它們分析的資料的品質和準確性。不準確或不完整的資料可能會導致錯誤的見解和建議。

讓員工採用新的認知協作工具可能是一項挑戰。對變革的抵制以及對培訓和支持的需求可能會減慢實施過程。將認知協作工具與現有系統和工作流程整合可能既複雜又耗時。可能會出現相容性問題和客製化需求。實施認知協作解決方案可能成本高昂，包括初始設定、持續維護和培訓。中小型企業可能會發現很難證明這些費用是合理的。

Rapid advancements in AI and NLP technologies have made it possible to develop intelligent collaboration tools that can understand and process human language, making interactions more efficient and effective. The shift to remote and hybrid work models, accelerated by the COVID-19 pandemic, has created a greater need for digital collaboration tools. Cognitive collaboration tools can help bridge the gap between remote team members and facilitate seamless communication.

For instance, on 15 September 2023, Mattermost, a secure collaboration platform for technical teams, announced several public sector-focused partnerships aimed at supporting Microsoft and Atlassian solutions within the Department of Defense (DoD) and fostering the adoption of AI, Dev/Sec/ChatOps and Zero Trust solutions across defense and civilian agencies and this partnership allows Mattermost to operate as a central, secure collaboration hub to support Contegix's FedRAMP high platform, enabling public sector agencies to access and use native Atlassian applications within a unified interface.

North America is dominating the global Cognitive Collaboration market covering more than 2/3rd of the market and businesses are actively pursuing digital transformation to remain competitive and agile. Modern users expect user-friendly and intuitive interfaces for collaboration tools. Cognitive collaboration platforms prioritize delivering seamless and personalized experiences, which resonate with the users.

Dynamics:

Business Productivity Standards

The primary goal of cognitive collaboration is to enhance efficiency and productivity in the workplace. By automating routine tasks and streamlining workflows, businesses can achieve higher output with fewer resources. Modern employees expect user-friendly and intuitive collaboration tools. Cognitive collaboration solutions focus on delivering a seamless and enjoyable user. Cognitive collaboration tools can integrate with existing business software and applications, ensuring that they fit into an organization's existing technology stack.

According to agilityeffect.com, in October 2020, Cognitive collaboration is transforming the way businesses operate by leveraging artificial intelligence, cloud computing and data to enhance employee experiences and productivity. the rise in mobile and remote work, cognitive collaboration tools enable employees to stay connected and communicate effectively across various channels, fostering remote teamwork and collaboration. According to Tech Target in October 2019, 85% of organizations were heavily investing for digital transformation.

Collaborative Initiatives Promote Technology Boosts the Market

The rapid advancements in artificial intelligence (AI) and machine learning (ML) technologies provide the foundation for cognitive collaboration. Modern users expect seamless, intuitive and personalized collaboration experiences. Cognitive collaboration platforms focus on delivering user-friendly interfaces and experiences to enhance adoption. Cognitive collaboration platforms leverage AI and ML to achieve these goals by focusing on delivering user-friendly interfaces and experiences.

For instance, on 30 May 2023, Digital Manufacturing Ireland launched the Visual Cognitive Manufacturing Group as an industry collaboration initiative aimed at promoting the deployment of vision technology in manufacturing. The VCMG aims to combine computer vision and artificial intelligence solutions to enhance the competitiveness of manufacturers in Ireland within the Industry 4.0 ecosystem.

Advancements in AI-Powered Cognitive Collaboration

Cognitive collaboration is based on AI technologies such as natural language processing (NLP), machine learning and deep learning. AI is enabling increasingly complex and intelligent collaboration capabilities as it develops and gets better. Cognitive collaboration systems are powered by the growing availability of data, sometimes known as "big data," and these systems rely on massive datasets to learn and generate insightful recommendations.

For instance, on 17 August 2023, Canva, a popular design platform, introduced several innovative features to enhance the design experience for small businesses and these features focus on collaboration, inclusivity and productivity. Canva Whiteboards have been revamped to provide an expansive space for brainstorming and collaboration. Users can now tag their names on sticky notes to identify contributors easily.

Data Security and Time-Consuming Process

Cognitive collaboration relies on collecting and analyzing vast amounts of data, including user interactions and content and this raises privacy concerns, as sensitive information may be accessed or exposed. Ensuring data security and compliance with regulations like GDPR is crucial. The effectiveness of cognitive collaboration tools depends on the quality and accuracy of the data they analyze. Inaccurate or incomplete data can lead to incorrect insights and recommendations.

Getting employees to adopt new cognitive collaboration tools can be a challenge. Resistance to change and the need for training and support can slow down the implementation process. Integrating cognitive collaboration tools with existing systems and workflows can be complex and time-consuming. Compatibility issues and the need for customization may arise. Implementing cognitive collaboration solutions can be costly, including the initial setup, ongoing maintenance and training. Small and mid-sized businesses may find it challenging to justify the expenses.

Segment Analysis:

The global cognitive collaboration market is segmented based on component, organization size, deployment mode, application, end-user and region.

Adoption of Cloud-based Platforms Boosts the Market

Cloud-based platforms provide the infrastructure needed to collect, store and analyze vast amounts of data from various sources. Cognitive Collaboration tools leverage this data to offer real-time insights, predictive analytics and personalized recommendations. Cloud solutions are inherently scalable, allowing organizations to expand their cognitive collaboration capabilities as needed and this flexibility is essential for businesses with fluctuating collaboration demands.

For instance, on 13 September 2023, GEP, a prominent provider of AI-driven procurement and supply chain solutions, partnered with Mastercard to streamline the commercial payment process within its GEP SOFTWARE platform and this collaboration involves integrating Mastercard's virtual card technology, which connects with over 80 banks globally, into GEP's procure-to-pay (P2P) ePayables solution and products are depend upon advanced cloud technologies.

Geographical Penetration:

Modern Technologies and Digital Workplace Boosts the Market

Asia-Pacific is the fastest-growing region in the global cognitive collaboration market and many organizations in the region are actively pursuing digital transformation initiatives and they are investing in modern technologies to streamline their operations and stay competitive in the global market. Cognitive Collaboration tools align with these initiatives by enabling smarter, more efficient communication and collaboration.

For instance, on 5 September 2023, Tata Consultancy Services was selected as a strategic partner by Lantmannen Ekonomisk Forening, a leader in agriculture, machinery, bioenergy and food products. Under this multi-year agreement, TCS will assist Lantmannen in transforming its IT infrastructure and providing digital workplace services. TCS will harmonize Lantmannen's digital workplace to support secure and agile hybrid working, enhance the employee experience, transform the global service desk, modernize infrastructure and ensure business resilience operations.

Competitive Landscape

The major global players in the market include: AudioCodes Ltd., Ingate Systems AB, Ribbon Communications Operating Company, Inc., ADTRAN HOLDINGS INC, Cisco Systems, Inc., Patton Electronics Co., Huawei Technologies Co., Ltd, Advantech Co., Ltd, Sangoma Technologies and InnoMedia.

COVID-19 Impact Analysis

The pandemic forced many businesses to adopt remote work and collaboration tools rapidly and this accelerated digital transformation initiatives, including the adoption of cognitive collaboration tools, to maintain productivity and connectivity among remote teams. Remote work becoming the new norm, there was a surge in demand for collaboration platforms that incorporate cognitive capabilities and these tools help bridge the gap created by physical separation, enabling teams to work together effectively regardless of their location.

The pandemic highlighted the importance of employee well-being and mental health. Cognitive collaboration tools began to incorporate features aimed at reducing remote work-related stress, such as AI-driven task prioritization, virtual team-building activities and mental health resources. The shift to remote work raised concerns about data security and privacy, especially when using cognitive collaboration tools that analyze user data. Businesses had to invest in robust security measures and ensure compliance with data protection regulations.

To cope with disruptions caused by the pandemic organizations increasingly turned to AI and automation. Cognitive collaboration tools started to integrate AI-driven automation to streamline repetitive tasks and enhance decision-making processes. COVID-19 prompted a reevaluation of the future of work. Cognitive collaboration tools played a pivotal role in shaping the hybrid work model, enabling seamless transitions between remote and in-office work while maintaining productivity and collaboration.

AI Impact

AI can analyze vast amounts of data generated during collaboration, including text, voice and video content and this analysis provides valuable insights into user behavior, preferences and patterns, helping organizations make data-driven decisions to improve collaboration experiences. AI-powered cognitive collaboration tools can provide personalized content and recommendations to users. For example, they can suggest relevant documents, colleagues or resources based on a user's current project or interests, increasing productivity and efficiency.

NLP algorithms enable chatbots and virtual assistants to understand and respond to natural language queries and commands and this makes communication within collaborative platforms more intuitive and user-friendly. AI can analyze the sentiment of written or spoken messages, helping teams gauge the emotional tone of discussions, this can be useful in identifying potential conflicts or areas where additional support is needed.

For instance, on 20 July 2023, Paytm, known for pioneering QR code payments in India, is developing a facial recognition-based payment system and this technology aims to enable seamless and cardless payments, allowing users to complete transactions with just their facial recognition. Paytm has conducted a pilot of this new system, representing a potential disruptive innovation in the payment industry.

Russia- Ukraine War Impact

The ongoing conflict has created geopolitical uncertainty that can affect international business relationships. Companies may be more cautious about sharing sensitive information or collaborating with partners from the affected regions. The war has disrupted global supply chains, impacting the availability of essential components and materials for technology products, including cognitive collaboration tools and this disruption can lead to delays and increased costs for such tools.

Cognitive collaboration tools have become essential for remote work and maintaining productivity. The war has forced many organizations to adapt to remote work due to geopolitical instability, making these tools even more critical. However, internet disruptions and cybersecurity concerns in the affected regions can hinder remote work and collaboration efforts. Geopolitical conflicts often lead to an increase in cyberattacks and cyber threats.

By Component

Solutions
Services

By Organization Size

Small and Medium-Sized Enterprises
Large Enterprises

By Deployment Mode

Cloud
On-Premises

By Application

Data Analytics
Facial Recognition
Social Media Assistance

By End-User

Cloud
IT and Telecom
Energy and Utilities
Banking
Financial Services
Insurance
Others

By Region

North America
- U.S.
- Canada
- Mexico

Europe
- Germany
- UK
- France
- Italy
- Russia
- Rest of Europe

South America
- Brazil
- Argentina
- Rest of South America

Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific

Middle East and Africa

Key Developments

In June 2023, Xaba, in collaboration with Lockheed Martin, tested its AI-driven xCognition control system on industrial robots to evaluate the automation of crucial manufacturing operations. The tests demonstrated that xCognition improved the accuracy and consistency of commercial robots by a factor of 10, allowing them to perform manufacturing tasks that were previously done by more expensive and less flexible CNC machines.
In June 2021, Globant launched its Digital Sales Studio to disrupt traditional sales channels by placing the consumer at the center of strategy and leveraging technology to drive results. The studio aims to challenge traditional marketing paradigms and focuses on delivering personalized consumer experiences by harnessing data and AI capabilities.
In June 2023, TUV SUD and NEURA Robotics have initiated a project to develop a European testing standard for collaborative robots (cobots) integrated with artificial intelligence (AI). The project aims to create a set of requirements for a standardized certification label across Europe. The partnership highlights the importance of ensuring the safe development and deployment of intelligent robotics technologies.

Why Purchase the Report?

To visualize the global cognitive collaboration market segmentation based on component, organization size, deployment mode, application, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of cognitive collaboration market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global cognitive collaboration market report would provide approximately 77 tables, 77 figures and 206 Pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Component
3.2. Snippet by Organization Size
3.3. Snippet by Deployment Mode
3.4. Snippet by Application
3.5. Snippet by End-User
3.6. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Business Productivity Standards
  - 4.1.1.2. Collaborative Initiatives Promote Technology Boosts the Market
  - 4.1.1.3. Advancements in AI-Powered Cognitive Collaboration
- 4.1.2. Restraints
  - 4.1.2.1. Data Security and Time-Consuming Process
- 4.1.3. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Component

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 7.1.2. Market Attractiveness Index, By Component
7.2. Solutions*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Services

8. By Organization Size

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 8.1.2. Market Attractiveness Index, By Organization Size
8.2. Small and Medium-Sized Enterprises*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Large Enterprises

9. By Deployment Mode

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 9.1.2. Market Attractiveness Index, By Deployment Mode
9.2. Cloud*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. On-Premises

10. By Application

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.1.2. Market Attractiveness Index, By Application
10.2. Data Analytics*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Facial Recognition
10.4. Social Media Assistance

11. By End-User

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.1.2. Market Attractiveness Index, By End-User
11.2. IT and Telecom*
- 11.2.1. Introduction
- 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. Energy and Utilities
11.4. Banking
11.5. Financial Services
11.6. Insurance
11.7. Others

12. By Region

12.1. Introduction
- 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 12.1.2. Market Attractiveness Index, By Region
12.2. North America
- 12.2.1. Introduction
- 12.2.2. Key Region-Specific Dynamics
- 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.2.8.1. U.S.
  - 12.2.8.2. Canada
  - 12.2.8.3. Mexico
12.3. Europe
- 12.3.1. Introduction
- 12.3.2. Key Region-Specific Dynamics
- 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.3.8.1. Germany
  - 12.3.8.2. UK
  - 12.3.8.3. France
  - 12.3.8.4. Italy
  - 12.3.8.5. Russia
  - 12.3.8.6. Rest of Europe
12.4. South America
- 12.4.1. Introduction
- 12.4.2. Key Region-Specific Dynamics
- 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.4.8.1. Brazil
  - 12.4.8.2. Argentina
  - 12.4.8.3. Rest of South America
12.5. Asia-Pacific
- 12.5.1. Introduction
- 12.5.2. Key Region-Specific Dynamics
- 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.5.8.1. China
  - 12.5.8.2. India
  - 12.5.8.3. Japan
  - 12.5.8.4. Australia
  - 12.5.8.5. Rest of Asia-Pacific
12.6. Middle East and Africa
- 12.6.1. Introduction
- 12.6.2. Key Region-Specific Dynamics
- 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

13.1. Competitive Scenario
13.2. Market Positioning/Share Analysis
13.3. Mergers and Acquisitions Analysis

14. Company Profiles

14.1. AudioCodes Ltd.*
- 14.1.1. Company Overview
- 14.1.2. Product Portfolio and Description
- 14.1.3. Financial Overview
- 14.1.4. Key Developments
14.2. Ingate Systems AB
14.3. Ribbon Communications Operating Company, Inc.
14.4. ADTRAN HOLDINGS INC
14.5. Cisco Systems, Inc.
14.6. Patton Electronics Co.
14.7. Huawei Technologies Co., Ltd
14.8. Advantech Co., Ltd
14.9. Sangoma Technologies
14.10. InnoMedia

LIST NOT EXHAUSTIVE