市場調查報告書
商品編碼
1400554
認知分析市場規模- 按組件(工具、服務[託管、專業])、部署(本地、雲端)、企業規模(中小企業、大型企業)、應用程式、最終用戶、成長前景、區域展望和預測, 2023 年- 2032Cognitive Analytics Market Size - By Component (Tools, Services [Managed, Professional]), Deployment (On-premise, Cloud), Enterprise Size (SMEs, Large Enterprise), Application, End User, Growth Prospects, Regional Outlook & Forecast, 2023 - 2032 |
在全球數位轉型措施激增的推動下,認知分析市場規模預計從 2023 年到 2032 年將以 34% 的CAGR成長。最近,多個行業的組織正在擁抱全面的數位轉型,利用認知分析從大量資料集中獲取可行的見解。隨著企業流程日益數位化,高階分析解決方案的需求不斷成長。
此外,人工智慧技術的不斷發展,包括機器學習和自然語言處理,以增強認知分析的能力,將促進市場成長。例如,2023 年 11 月,BCW 與 Limbik 合作創建了 Decipher Index,這是一個部署認知人工智慧的新平台,用於識別最有可能產生未來影響的最重要主題。
認知分析產業分為組件、部署、企業規模、應用程式、最終用戶和區域。
從組成部分來看,服務領域的市場佔有率預計將在 2023 年至 2032 年期間大幅成長。認知分析服務涵蓋一系列產品,包括諮詢、實施和支援服務,以促進無縫整合到不同的業務環境中。對增強決策、客戶參與和跨企業營運效率的服務的需求不斷成長,也將推動該細分市場的成長。
對於最終用戶而言,IT 和電信領域的認知分析市場預計將在 2023 年至 2032 年間出現高需求。IT 和電信領域的公司正在利用認知分析進行即時資料分析、預測性維護和增強型客戶體驗。此外,IT和電信營運數位轉型投資的增加將有利於該細分市場的擴張。
從地區來看,預計到 2032 年,亞太地區認知分析市場將出現強勁成長。數位轉型措施的激增正在推動中國、印度和日本各產業採用認知分析解決方案。不斷擴大的 IT 基礎設施,加上該地區對高階分析優勢的認知不斷增強,正在推動各行業對認知分析解決方案和服務的接受度不斷提高。此外,一些行業參與者正在開發創新解決方案來滿足該地區的需求,從而促進市場成長。舉個例子,2023 年3 月,塔塔諮詢服務公司推出了TCS 認知工廠營運顧問,這是一款適用於Microsoft Azure 私有行動邊緣運算平台的5G 解決方案,可協助多個產業的企業利用人工智慧和機器學習來轉變其生產流程他們更加聰明、敏捷和有彈性。
Cognitive Analytics Market size is anticipated to grow at 34% CAGR from 2023-2032 driven by the global surge in digital transformation initiatives. Of late, organizations across several industries are embracing comprehensive digital transformations for leveraging cognitive analytics to derive actionable insights from vast datasets. With businesses increasingly digitizing their processes, the demand for advanced analytics solutions is rising.
Furthermore, continuous developments in AI technologies, including machine learning and natural language processing to enhance the capabilities of cognitive analytics will foster the market growth. For instance, in November 2023, BCW collaborated with Limbik to create the Decipher Index, a new platform that deploys cognitive AI to identify the topmost themes with the most potential for future impact.
The cognitive analytics industry is segmented into component, deployment, enterprise size, application, end-user, and region.
Based on component, the market share from the services segment is anticipated to record substantial growth from 2023-2032. Cognitive analytics services encompass a spectrum of offerings, including consulting, implementation, and support services for facilitating seamless integration into diverse business environments. The surging need for services that enhance decision-making, customer engagement, and operational efficiency across businesses will also boost the segment growth.
As per end user, the cognitive analytics market from the IT and telecom segment is set to witness high demand between 2023 and 2032. Companies operating in the IT and telecommunications sector are leveraging cognitive analytics for real-time data analysis, predictive maintenance, and enhanced customer experiences. Furthermore, the rising investments in the digital transformation of IT and telecom operations will favor the segment expansion.
Regionally, the Asia Pacific cognitive analytics market is foreseen to experience robust growth through 2032. This surge in digital transformation initiatives is propelling the adoption of cognitive analytics solutions across diverse industries in China, India, and Japan. The expanding IT infrastructure coupled with the growing awareness of the benefits of advanced analytics in the region are contributing to the increasing acceptance of cognitive analytics solutions and services across industries. Moreover, several industry participants are developing innovative solutions to address needs in the region, adding to the market growth. To cite an instance, in March 2023, Tata Consultancy Services introduced TCS Cognitive Plant Operations Adviser, a 5G-enabled solution for Microsoft Azure Private Mobile Edge Computing platform to assist businesses across several sectors to transform their production processes by utilizing AI and ML to make them more intelligent, agile, and resilient.