市場調查報告書
商品編碼
1447027
到 2030 年認知分析市場預測:按組件、部署、組織規模、技術、應用程式、最終用戶和地區進行的全球分析Cognitive Analytics Market Forecasts to 2030 - Global Analysis By Component (Services and Tools), Deployment, Organization Size, Technology, Application, End User and By Geography |
根據 Stratistics MRC 的數據,2023 年全球認知分析市場規模將達到 39 億美元,預計到 2030 年將達到 327 億美元,預測期內年複合成長率為 35.3%。
認知分析涉及應用人工智慧、機器學習和自然語言處理等先進技術來分析和解釋複雜的資料集。這種多維方法允許系統模仿人類思考過程,並從大量資訊中提取有價值的見解。透過揭示模式、趨勢和相關性,認知分析可以實現資料主導的決策、增強的解決問題的能力以及跨行業的流程最佳化,最終推動整體績效的提高。
根據 Flexera 的 2022 年雲端狀況報告,37% 的企業每年在雲端上的支出超過 1,200 萬美元,到 2021 年,80% 的企業在雲端上的支出超過 120 萬美元。
對即時洞察的需求不斷成長
企業正在意識到及時、資料主導決策的重要性,市場對即時洞察的需求也激增。這種不斷成長的需求是由動態的商業環境所驅動的,在這種環境中,快速變化和不斷發展的趨勢需要即時、準確的分析。公司正在採用認知分析解決方案來獲取即時、可操作的情報,使他們能夠快速回應市場變化和新機遇,並加速提高整體業務效率和競爭力。
資料隱私和安全問題
個人和業務資料的收集、處理和儲存存在潛在風險,包括未授權存取、資料外洩和濫用。隨著認知分析系統變得越來越複雜,確保強大的加密、身份驗證通訊協定和遵守資料保護條例變得勢在必行。組織應優先考慮透明的隱私權政策,實施嚴格的存取控制,並定期審核其系統以防止潛在的漏洞。資料隱私和安全問題正在限制市場成長。
物聯網設備和巨量資料分析的採用增加
在物聯網 (IoT) 設備的廣泛整合和巨量資料分析的使用推動下,市場正在經歷快速採用。這種協同效應使企業能夠利用物聯網設備產生的大量資料進行進階分析和洞察。這些技術的無縫整合使企業能夠做出資料主導的決策,提高業務效率,並在動態的市場條件下獲得競爭優勢。
缺乏熟練的專業人員
對資料科學、機器學習和人工智慧領域的專業人員的需求超過了當前合格候選人的供給能力。這一缺陷限制了認知分析解決方案的有效實施,並阻止組織充分利用先進的資料洞察力。對於希望利用認知分析來增強決策並獲得競爭優勢的公司來說,縮小這種技能差距至關重要。因此,這是阻礙市場成長的主要因素。
隨著組織尋求先進的資料驅動解決方案來解決前所未有的挑戰,COVID-19 的爆發對認知分析市場產生了重大影響。對即時洞察的需求激增,導致擴大採用認知分析來增強決策流程和業務彈性。遠距工作的動態也加速了對人工智慧主導分析的需求,推動市場內的創新與成長。這場大流行凸顯了認知分析在適應動態情境的重要性,並激發了跨產業資料分析策略的模式轉移。
自然語言處理領域預計預測期內規模最大
由於對高階語言理解和溝通技能的需求不斷增加,自然語言處理領域預計在預測期內將達到最高成長。組織正在利用技術從非結構化資料中提取有價值的見解、增強決策流程並改善客戶體驗。這一市場擴張是由各行業擴大採用人工智慧主導的解決方案所推動的,認知分析在釋放全面資料分析和解釋的潛力方面發揮關鍵作用。
預計運輸和物流行業在預測期內年複合成長率最高
預計運輸和物流行業在預測期內的年複合成長率最高。認知分析可簡化供應鏈業務、最佳化路線、庫存管理和需求預測。機器學習演算法提高效率、降低成本並提高整體物流績效。分析龐大資料集的能力使組織能夠獲得寶貴的見解,做出明智的決策,提高客戶滿意度,並快速回應運輸和物流領域的動態市場需求。
由於各行業擴大採用高階分析解決方案,預計北美在預測期內將佔據最大的市場佔有率。透過專注於利用人工智慧和機器學習技術,該地區的公司正在從大量資料集獲得寶貴的見解。對即時決策工具和預測分析的需求正在推動市場擴張。
預計亞太地區在預測期內將維持最高的年複合成長率。組織正在採用認知分析解決方案,從大量資料集得出有意義的模式和預測,並增強決策流程。技術進步、人們對分析優勢的認知不斷增強以及數位轉型舉措的普及等因素正在促進該地區認知分析市場的擴張。
According to Stratistics MRC, the Global Cognitive Analytics Market is accounted for $3.9 billion in 2023 and is expected to reach $32.7 billion by 2030 growing at a CAGR of 35.3% during the forecast period. Cognitive analytics involves the application of advanced technologies such as artificial intelligence, machine learning, and natural language processing to analyze and interpret complex data sets. This multidimensional approach enables systems to mimic human thought processes, extracting valuable insights from vast amounts of information. By uncovering patterns, trends, and correlations, cognitive analytics empowers organizations to make data-driven decisions, enhance problem-solving capabilities, and optimize processes across various industries, ultimately fostering innovation and improving overall business performance.
According to Flexera's 2022 State of the Cloud Report, organizations reported spending more than USD 12 million yearly in 37% of cases in 2021 and more than USD 1.2 million on clouds in 80% of cases.
Rising demand for real-time insights
The market is witnessing a surge in demand for real-time insights as organizations recognize the critical importance of timely data-driven decision-making. This heightened need stems from the dynamic business landscape, where rapid changes and evolving trends necessitate instant and accurate analysis. Companies are increasingly adopting cognitive analytics solutions to gain actionable intelligence in real-time, enabling them to respond swiftly to market shifts and emerging opportunities, thereby enhancing overall operational efficiency and competitiveness.
Data privacy and security concerns
The collection, processing, and storage of personal and business data present potential risks, including unauthorized access, data breaches, and misuse. As cognitive analytics systems become more sophisticated, ensuring robust encryption, authentication protocols, and compliance with data protection regulations is imperative. Organizations must prioritize transparent privacy policies, implement stringent access controls, and regularly audit their systems to safeguard against potential vulnerabilities. Data privacy and security concerns are the factors restraining the growth of the market,
Rising adoption of IoT devices and big data analytics
The market is experiencing a surge in adoption propelled by the widespread integration of Internet of Things (IoT) devices and the utilization of big data analytics. This synergy allows organizations to harness vast amounts of data generated by IoT devices, enabling sophisticated analysis and insights. The seamless integration of these technologies empowers businesses to make data-driven decisions, enhance operational efficiency, and gain a competitive edge in dynamic market landscape.
Lack of skilled professionals
The demand for experts proficient in data science, machine learning, and artificial intelligence outpaces the current availability of qualified individuals. This scarcity limits the effective implementation of cognitive analytics solutions, impeding organizations from harnessing the full benefits of advanced data insights. Bridging this skills gap is crucial for businesses aiming to leverage cognitive analytics to enhance decision-making and gain a competitive edge. Hence, this is the major aspect hindering the growth of the market.
The COVID-19 pandemic significantly impacted the Cognitive Analytics market as organizations sought advanced data-driven solutions to navigate unprecedented challenges. The demand for real-time insights surged, driving increased adoption of cognitive analytics to enhance decision-making processes and business resilience. Remote work dynamics also accelerated the need for AI-driven analytics, fostering innovation and growth within the market. The pandemic underscored the importance of cognitive analytics in adapting to dynamic circumstances, influencing a paradigm shift in data analysis strategies across industries.
The natural language processing segment is expected to be the largest during the forecast period
The natural language processing segment is expected to be the largest during the forecast period owing to the increasing demand for advanced language understanding and communication capabilities. Organizations are leveraging technologies to extract valuable insights from unstructured data, enhance decision-making processes, and improve customer experiences. This market expansion is propelled by the rising adoption of AI-driven solutions across various industries, showcasing the pivotal role in unlocking the potential of cognitive analytics for comprehensive data analysis and interpretation.
The transportation and logistics segment is expected to have the highest CAGR during the forecast period
The transportation and logistics segment is expected to have the highest CAGR during the forecast period. Cognitive analytics streamline supply chain operations, optimizing routes, inventory management, and demand forecasting. Machine learning algorithms enhance efficiency, reduce costs, and improve overall logistics performance. With the ability to analyze vast datasets, organizations gain valuable insights, enabling them to make informed decisions, enhance customer satisfaction, and adapt quickly to dynamic market demands within the transportation and logistics sector.
North America is projected to hold the largest market share during the forecast period due to increasing adoption of advanced analytics solutions across various industries. With a focus on leveraging artificial intelligence and machine learning technologies, businesses in the region are gaining valuable insights from vast datasets. The demand for real-time decision-making tools and predictive analytics is propelling market expansion.
Asia Pacific is projected to hold the highest CAGR over the forecast period. Organizations are adopting cognitive analytics solutions to derive meaningful patterns and predictions from vast datasets, enhancing decision-making processes. Factors such as technological advancements, rising awareness of analytics benefits, and the proliferation of digital transformation initiatives contribute to the region's expanding cognitive analytics market.
Key players in the market
Some of the key players in Cognitive Analytics market include SAS Institute, Hewlett Packard Enterprise Company, Google LLC, Amazon Web Services, Microsoft Corporation, Intel, Cisco Systems, Nokia, Oracle Corporation, Narrative Science, IBM Corporation, Accenture PLC, Nuance Communications, Inc., Numenta, Inc., Enterra Solutions LLC, SparkCognition Inc., Tata Consultancy Services and Ericsson.
In September 2023, Ericsson launched advanced troubleshooting capabilities with an extension of Ericsson Expert Analytics. The solution implements AI, machine learning, and analytics tools to identify root-cause of issues.
In May 2023, Tata Consultancy Services strategically collaborated with Google LLC Cloud to provide generative AI and cognitive-powered services to customers. It caters to industry specific applications that focus on pushing business value in the real-world.
In March 2023, Tata Consultancy Services launched 5G-powered cognitive plant operations adviser to support industries such as oil and gas, manufacturing, retail, and others with advanced analytics and artificial intelligence. It would help clients in building prescriptive and predictive capabilities.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above