市场调查报告书
商品编码
1373704
认知运算全球市场规模、份额、产业趋势分析报告:按部署类型、按技术、按公司规模、按行业、按地区、展望和预测,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,认知运算市场规模预计将达到 2,788 亿美元,预测期内年复合成长率32.3%。
根据KBV Cardinal矩阵的分析,Google公司和微软公司是认知运算市场的先驱。 2023 年 5 月,Google Cloud 将扩大与 SAP 的合作伙伴关係,共同建构开放资料和人工智慧的未来,提供为缓解资料环境而开发的真实开放资料。 Oracle Corporation、IBM Corporation 和 Hewlett Packard Enterprise Development LP 等公司是该市场的主要创新者。
市场成长要素
各行业越来越多地采用自动化
企业希望自动执行重复性和基于规则的任务,以提高效率并降低营运成本。认知运算系统可以自动执行资料输入、客户支援和文件处理任务。自动化和认知运算是密切相关但不同的技术,将它们结合起来可以为各种业务挑战提供强大的解决方案。摘要,自动化和认知运算是互补的技术,有效整合后可以提高效率、改善决策并提供更好的客户体验。公司可以利用这种组合来获得竞争优势并应对当今数位形势的复杂性。所有这些因素都可能支持未来年度的市场扩张。
预测分析的认知运算需求增加
由于电脑科学和人工智慧的发展,认知运算正在快速增长,并预计在未来几年将扩展。将预测分析等机器学习 (ML) 技术融入认知运算中,其主要目的是支援业务决策,是经营高效能业务的理想方式。对于采用动态定价模型的公司,预测分析可以帮助根据需求、竞争和客户行为等各种要素最佳化定价策略。这使您能够增加收益和报酬率,同时保持竞争力。预计这些要素将推动认知运算市场的需求。
市场抑制因素
资料完整性风险和缺乏熟练专业人员
资料安全问题仍然是认知运算市场的主要障碍。资料库管理和监控的大部分控制权取决于认知运算系统提供者。资料库储存各种私人用户资料以及财务资料,例如地址、照片识别以及信用卡和金融卡资讯。恶意软体、分散式阻断服务 (DDoS)、SQL 注入和网路钓鱼尝试是一些骇客用来渗透网路并窃取使用者密码的网路攻击的一些例子。因此,由于技术纯熟劳工短缺和资料安全威胁,认知运算市场预计在整个预测期内将经历成长限制。
部署类型展望
根据部署类型,市场的特征是本地和云端。 2022年,云端细分市场获得了可观的市场成长率。云端基础的认知运算系统可以透过互联网连接在任何位置和任何设备上访问,使在不同地点工作的团队能够远端工作和协作。这种可访问性对于需要 24/7 营运的分散式团队和组织尤其有价值。主要云端供应商提供具有冗余和故障转移功能的强大基础设施。其结果是高可用性和最少的停机时间,确保您的用户始终可以存取您的认知运算应用程式。
技术展望
依技术划分,市场分为自然语言处理 (NLP)、机器学习、自动推理等。自然语言处理 (NLP) 领域在 2022 年获得了最大的市场收益占有率。认知 NLP 使聊天机器人和虚拟助理能够更自然、更聪明地理解和回应用户查询,从而改善用户体验。这也有助于搜寻引擎更好地理解用户的查询并提供更准确和上下文相关的搜寻结果。认知 NLP 模型可以处理多种语言,打破语言障碍并实现全球通讯和内容处理。
企业规模展望
根据公司规模,市场分为大公司和小公司。 2022年,中小企业市场取得了显着的成长。认知运算可以透过提供先进的人工智慧主导功能来提高效率、决策和客户体验,从而使中小型企业受益。认知自动化技术使中小型企业能够自动化跨各部门的日常和手动任务,例如财务、人力资源和供应链管理。这提高了业务效率并减少了错误。
各行业展望
本市场依产业分为医疗保健、BFSI、零售/电子商务、政府/国防、IT/通讯、能源/电力等。在2022年的市场中,医疗保健领域的收益占有率最高。认知运算技术在医疗保健领域有着广泛的用途,提供创新的解决方案来改善患者照护、简化业务和推进医学研究。它可以帮助放射科医生检测异常、肿瘤、骨折和其他病症,这可能会降低误诊率。认知计算可以透过从非结构化文字註释中提取和结构化资讯来改善 EHR 系统,使医疗保健专业人员更容易存取和使用患者记录。
区域展望
从区域来看,我们对北美、欧洲、亚太地区和拉丁美洲地区的市场进行了分析。 2022 年,北美市场占据最大的收益占有率。北美的认知运算部署在各个行业和部门中都出现了显着成长和采用。北美,特别是美国和加拿大,是技术创新和认知运算解决方案开发的领导者。北美製造商正在透过认知技术拥抱工业 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