市場調查報告書
商品編碼
1373704
認知運算全球市場規模、佔有率、產業趨勢分析報告:按部署類型、按技術、按公司規模、按行業、按地區、展望和預測,2023-2030 年Global Cognitive Computing Market Size, Share & Industry Trends Analysis Report By Deployment Type (On-premise and Cloud), By Technology, By Enterprise Size, By Vertical, By Regional Outlook and Forecast, 2023 - 2030 |
到 2030 年,認知運算市場規模預計將達到 2,788 億美元,預測期內年複合成長率32.3%。
根據KBV Cardinal矩陣的分析,Google公司和微軟公司是認知運算市場的先驅。 2023 年 5 月,Google Cloud 將擴大與 SAP 的合作夥伴關係,共同建構開放資料和人工智慧的未來,提供為緩解資料環境而開發的真實開放資料。 Oracle Corporation、IBM Corporation 和 Hewlett Packard Enterprise Development LP 等公司是該市場的主要創新者。
市場成長要素
各行業擴大採用自動化
企業希望自動執行重複性和基於規則的任務,以提高效率並降低營運成本。認知運算系統可以自動執行資料輸入、客戶支援和文件處理任務。自動化和認知運算是密切相關但不同的技術,將它們結合起來可以為各種業務挑戰提供強大的解決方案。摘要,自動化和認知運算是互補的技術,有效整合後可以提高效率、改善決策並提供更好的客戶體驗。公司可以利用這種組合來獲得競爭優勢並應對當今數位形勢的複雜性。所有這些因素都可能支持未來年度的市場擴張。
預測分析的認知運算需求增加
由於電腦科學和人工智慧的發展,認知運算正在快速成長,並預計在未來幾年將擴展。將預測分析等機器學習 (ML) 技術融入認知運算中,其主要目的是支援業務決策,是經營高效能業務的理想方式。對於採用動態定價模型的公司,預測分析可以幫助根據需求、競爭和客戶行為等各種要素最佳化定價策略。這使您能夠增加收益和報酬率,同時保持競爭力。預計這些要素將推動認知運算市場的需求。
市場抑制因素
資料完整性風險和缺乏熟練專業人員
資料安全問題仍然是認知運算市場的主要障礙。資料庫管理和監控的大部分控制權取決於認知運算系統提供者。資料庫儲存各種私人用戶資料以及財務資料,例如地址、照片識別以及信用卡和金融卡資訊。惡意軟體、分散式阻斷服務 (DDoS)、SQL 注入和網路釣魚嘗試是一些駭客用來滲透網路並竊取使用者密碼的網路攻擊的一些例子。因此,由於技術純熟勞工短缺和資料安全威脅,認知運算市場預計在整個預測期內將經歷成長限制。
部署類型展望
根據部署類型,市場的特徵是本地和雲端。 2022年,雲端細分市場獲得了可觀的市場成長率。雲端基礎的認知運算系統可以透過網際網路連接在任何位置和任何設備上訪問,使在不同地點工作的團隊能夠遠端工作和協作。這種可訪問性對於需要 24/7 營運的分散式團隊和組織尤其有價值。主要雲端供應商提供具有冗餘和故障轉移功能的強大基礎設施。其結果是高可用性和最少的停機時間,確保您的用戶始終可以存取您的認知運算應用程式。
技術展望
依技術分類,市場分為自然語言處理 (NLP)、機器學習、自動推理等。自然語言處理 (NLP) 領域在 2022 年獲得了最大的市場收益佔有率。認知 NLP 使聊天機器人和虛擬助理能夠更自然、更聰明地理解和回應用戶查詢,從而改善用戶體驗。這也有助於搜尋引擎更好地理解用戶的查詢並提供更準確和上下文相關的搜尋結果。認知 NLP 模型可以處理多種語言,打破語言障礙並實現全球通訊和內容處理。
企業規模展望
根據公司規模,市場分為大公司和小公司。 2022年,中小企業市場取得了顯著的成長。認知運算可以透過提供先進的人工智慧主導功能來提高效率、決策和客戶體驗,從而使中小型企業受益。認知自動化技術使中小型企業能夠自動化跨各部門的日常和手動任務,例如財務、人力資源和供應鏈管理。這提高了業務效率並減少了錯誤。
各行業展望
本市場依產業分為醫療保健、BFSI、零售/電子商務、政府/國防、IT/通訊、能源/電力等。在2022年的市場中,醫療保健領域的收益佔有率最高。認知運算技術在醫療保健領域有著廣泛的用途,提供創新的解決方案來改善患者照護、簡化業務和推進醫學研究。它可以幫助放射科醫生檢測異常、腫瘤、骨折和其他病症,這可能會降低誤診率。認知計算可以透過從非結構化文字註釋中提取和結構化資訊來改善 EHR 系統,使醫療保健專業人員更容易存取和使用患者記錄。
區域展望
從區域來看,我們對北美、歐洲、亞太地區和拉丁美洲地區的市場進行了分析。 2022 年,北美市場佔據最大的收益佔有率。北美的認知運算部署在各個行業和部門中都出現了顯著成長和採用。北美,特別是美國和加拿大,是技術創新和認知運算解決方案開發的領導者。北美製造商正在透過認知技術擁抱工業 4.0 概念。
The Global Cognitive Computing Market size is expected to reach $278.8 billion by 2030, rising at a market growth of 32.3% CAGR during the forecast period.
Cognitive computing helps retailers optimize inventory levels by analyzing historical sales data, current market trends, and external factors like weather or holidays. Therefore, the Retail & E-commerce segment acquired $3,282.1 million revenue in the market in 2022. This reduces the hazard of understocking or overstocking products. Cognitive computing can analyze social media, reviews, and customer feedback to gauge sentiment and gather insights. Retailers can use this information to make improvements and address customer concerns proactively. Cognitive computing models can identify upselling and cross-selling opportunities based on customer preferences and purchase history, increasing the average order value.
The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. In October, 2022, Oracle Corporation came into partnership with NVIDIA to integrate Oracle Cloud Infrastructure with NVIDIA's accelerated computing stack with an aim to provide the customers of the two companies with solutions AI-powered solutions for overcoming business challenges. In January, 2021, IBM Corporation signed a partnership with Atos to provide solutions for the digitalization of businesses and enable the customers to modernize their businesses.
Based on the Analysis presented in the KBV Cardinal matrix; Google LLC and Microsoft Corporation are the forerunners in the Cognitive Computing Market. In May, 2023, Google Cloud extended its partnership with SAP to jointly build the future of open data and AI and bringing in a full-fledged open data offering developed to make data landscapes easier. Companies such as Oracle Corporation, IBM Corporation and Hewlett Packard Enterprise Development LP are some of the key innovators in the Market.
Market Growth Factors
Rising adoption of automation in various industries
Businesses want to automate repetitive and rule-based tasks to improve efficiency and reduce operational costs. Cognitive computing systems can automate data entry, customer support, and document processing tasks. Automation and cognitive computing are closely related but distinct technologies that, when combined, can offer powerful solutions to various business challenges. In summary, automation and cognitive computing are complementary technologies that, when integrated effectively, can lead to increased efficiency, improved decision-making, and enhanced customer experiences. Businesses can leverage this combination to gain a competitive advantage and navigate the complexities of the modern digital landscape. All these elements will aid in the expansion of the market in the coming years.
Increasing requirement of cognitive computing for predictive analytics
As a result of developments in computer science and AI, cognitive computing has grown swiftly, and it is expected that this will expand in the coming years. Incorporating machine learning (ML) technologies like predictive analytics with cognitive computing, whose major goal is to assist businesses in decision-making, is the ideal way to carry out efficient company operations. For businesses with dynamic pricing models, predictive analytics can help optimize pricing strategies based on various factors, such as demand, competition, and customer behavior. This can lead to higher revenue and profit margins while remaining competitive. These factors are expected to drive demand in the market for cognitive computing.
Market Restraining Factors
Risks to data integrity and lack of skilled professionals
Data security issues are still a major barrier to the market for cognitive computing. Most control over database management and oversight rests with the providers of cognitive computing systems. A wide range of private user data is stored in databases, along with financial data, including address, photo identification, and credit or debit card information. Malware, distributed denial-of-service (DDoS), SQL injection, and phishing attempts are some examples of cyberattacks that some hackers use to breach networks and steal users' passwords. As a result, the market for cognitive computing is projected to experience growth constraints throughout the forecast period due to a shortage of skilled workers and data security threats.
Deployment Type Outlook
Based on deployment type, the market is characterized into on-premise and cloud. The cloud segment procured a considerable growth rate in the market in 2022. Cloud-based cognitive computing systems may be accessed through an internet connection from any location or device, making it possible for teams working in different locations to work remotely and collaborate. This accessibility is especially valuable for organizations with distribution teams or the need for 24/7 operations. Leading cloud providers offer robust infrastructure with redundancy and failover capabilities. This results in high availability and minimizes downtime, ensuring that cognitive computing applications are consistently accessible to users.
Technology Outlook
On the basis of technology, the market is classified into natural language processing (NLP), machine learning, automated reasoning, and others. The natural language processing (NLP)segment acquired the largest revenue share in the market in 2022. Cognitive NLP allows chatbots and virtual assistants to understand and respond to user queries more naturally and intelligently, enhancing the user experience. This also helps search engines to better understand user queries, providing more accurate and context-aware search results. Cognitive NLP models can handle multiple languages, breaking language barriers and enabling global communication and content processing.
Enterprise Size Outlook
By enterprise size, the market is divided into large enterprises and small & medium-sized enterprises. The small and medium-sized enterprises segment garnered a remarkable growth rate in the market in 2022. Cognitive computing can benefit small and medium enterprises (SMEs) by providing advanced AI-driven capabilities to enhance efficiency, decision-making, and customer experiences. SMEs can automate routine and manual tasks across various departments, including finance, HR, and supply chain management, using cognitive automation technologies. This increases operational efficiency and reduces errors.
Vertical Outlook
Based on vertical, the market is segmented into healthcare, BFSI, retail & e-commerce, government & defense, IT & telecom, energy & power, and others. The healthcare segment procured the highest revenue share in the market in 2022. Cognitive computing technology has found numerous applications in healthcare, offering innovative solutions to improve patient care, streamline operations, and advance medical research. It can assist radiologists by detecting anomalies, tumors, fractures, or other conditions, potentially reducing misdiagnosis rates. Cognitive computing can improve EHR systems by extracting and structuring information from unstructured text notes, making patient records more accessible and useful to healthcare providers.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment garnered the largest revenue share in the market in 2022. Cognitive computing deployment in North America has seen significant growth and adoption across various industries and sectors. North America, particularly the United States and Canada, is a leading nation for technological innovation and the development of cognitive computing solutions. North American manufacturing companies have embraced Industry 4.0 concepts with cognitive technology.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include SAP SE, Google LLC, Tibco Software Inc., 3M Company, Microsoft Corporation, SAS Institute Inc., TATA Consultancy Services Limited, IBM Corporation, Hewlett Packard Enterprise Development LP, and Oracle Corporation
Recent Strategies Deployed in Cognitive Computing Market
Partnerships, Collaborations and Agreements:
May-2023: SAP SE came into collaboration with IBM, a global hybrid cloud and AI, and consulting expertise provider. With the help of this partnership, the company would embed IBM Watson technology with its solutions to offer new AI-driven insights and automation which would create more efficient and effective user experiences.
May-2023: SAP came into an expanded partnership with Google, an American multinational technology company. Through this partnership, companies would aim to organize data landscapes and unlock the value of business data. Additionally, through the help of the SAP Datasphere solution and Google's data cloud, customers would build an end-to-end data cloud that combines data from across the business landscape, enabling enterprises to view their complete land in real time.
May-2023: Google Cloud extended its partnership with SAP, a Germany-based software company. The partnership focuses on jointly building the future of open data and AI and bringing in a full-fledged open data offering developed to make data landscapes easier. This offering allows users to build data could.
Apr-2023: Microsoft Corp. expanded the collaboration with Epic Systems Corporation, an American healthcare software company. The collaboration is aimed to integrate generative AI-powered solutions with Epic's EHR to enhance patient care, and productivity and improve the financial integrity of health systems globally.
Apr-2023: Microsoft expanded its partnership with OpenAI, an artificial intelligence company, to make the advancement in AI. With this expansion, Microsoft's expertise in providing AI-driven solutions and OpenAI's research on AI Alignment would be combined to build an advanced framework for the secure deployment of Microsoft's AI technologies.
Feb-2023: Google entered into a partnership with Anthropic, an AI-based startup to develop reliable and Credible AI systems. This partnership would enable Google to utilize Anthropic capabilities in providing cloud-driven solutions and integrate with Google's expertise in the training and deployment of AI systems, to build AI-enabled systems.
Oct-2022: Oracle Corporation came into partnership with NVIDIA, an American technology company, to integrate Oracle Cloud Infrastructure with NVIDIA's accelerated computing stack. The partnership would provide the customers of the two companies with solutions AI-powered solutions for overcoming business challenges.
Jul-2022: SAS formed a partnership with Moro Hub, a subsidiary of Digital DEWA. The partnership would enable the company to leverage Moro Hub's multiple cloud services on a single platform to increase the scalability and security of its solutions for data management. This would help clients manage their high volumes of data in a streamlined manner and cost-effectively.
Product Launches and Product Expansions:
Jan-2023: Hewlett Packard took over Pachyderm, a US-based operator of data engineering platform. The blend of HPE and Pachyderm would deliver a combined ML pipeline and platform to advance a customer's journey.
Dec-2022: Oracle Corporation took over Newmetrix, a cloud-based platform that uses artificial intelligence to highlight construction problems focused on project safety. Through this acquisition, Oracle Corporation would be able to fasten its abilities in utilizing Machine Learning and AI to construct more predictive behaviors.
Jul-2022: IBM took over Databand.ai, a leader in data observability software. With this acquisition, the company aimed to strengthen its software portfolio through automation, data, and AI to address the full spectrum of observability.
Mar-2022: Microsoft acquired Nuance Communications, a US-based company that provides speech recognition solutions, healthcare AI solutions, and omnichannel customer engagement. This acquisition enables healthcare services providers a better opportunity to provide economical, attainable healthcare services, and allows organizations in other industries to better serve the needs of their clients.
Acquisitions and Mergers:
Apr-2023: Oracle Corporation added new capabilities for Oracle Fusion Cloud Applications Suite. The new capabilities include AI-powered lead time estimation for improved lead time assumptions, a better quote-to-cash process, and Rebate management facilities.
Mar-2023: Google Cloud announced the launch of Generative AI App Builder. The launched product enables developers to rapidly ship the latest experiences consisting of chat interfaces, digital assistants, bots, and more. Additionally, with this launch, Google enables a complete generation of developers, builders, innovators, and doers to leverage the power of AI in novel ways.
Mar-2023: TCS unveiled TCS Cognitive Plant Operations Adviser, a composite AI solution for manufacturing and process plant operations that utilizes Microsoft Project Bonsai's low-code, AI platform to offer insights and information to plant operators for making real-time and autonomous decisions.
Oct-2022: Oracle Corporation introduced new features for Oracle Fusion Analytics for customer experience. The new features include Oracle Fusion CX Analytics, Oracle Fusion ERP Analytics, Oracle Fusion SCM Analytics, and Oracle Fusion HCM Analytics.
Jul-2022: IBM Corporation introduced IBM Process Automation Manager Open Edition and IBM Decision Manager Open Edition. IBM Process Automation Manager Open Edition is a workflow automation facility that includes BPMN2.0 modeling, full decision management, and dashboarding support. IBM Decision Manager Open Edition is an Automation Decision service that includes DMN1.4-compliant runtime, Kogito-based cloud-native architecture, and complex event processing.
Market Segments covered in the Report:
By Deployment Type
By Technology
By Enterprise Size
By Vertical
By Geography
Companies Profiled
Unique Offerings from KBV Research