市场调查报告书
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1447027
到 2030 年认知分析市场预测:按组件、部署、组织规模、技术、应用程式、最终用户和地区进行的全球分析Cognitive Analytics Market Forecasts to 2030 - Global Analysis By Component (Services and Tools), Deployment, Organization Size, Technology, Application, End User and By Geography |
根据 Stratistics MRC 的数据,2023 年全球认知分析市场规模将达到 39 亿美元,预计到 2030 年将达到 327 亿美元,预测期内复合年增长率为 35.3%。
认知分析涉及应用人工智慧、机器学习和自然语言处理等先进技术来分析和解释复杂的资料集。这种多维方法允许系统模仿人类思考过程,并从大量资讯中提取有价值的见解。透过揭示模式、趋势和相关性,认知分析可以实现资料主导的决策、增强的解决问题的能力以及跨行业的流程优化,最终推动整体绩效的提高。
根据 Flexera 的 2022 年云端状况报告,37% 的企业每年在云端上的支出超过 1,200 万美元,到 2021 年,80% 的企业在云端上的支出超过 120 万美元。
对即时洞察的需求不断增长
企业正在意识到及时、资料主导决策的重要性,市场对即时洞察的需求也激增。这种不断增长的需求是由动态的商业环境所驱动的,在这种环境中,快速变化和不断发展的趋势需要即时、准确的分析。公司正在采用认知分析解决方案来获取即时、可操作的情报,使他们能够快速回应市场变化和新机会,并加速提高整体业务效率和竞争力。
资料隐私和安全问题
个人和业务资料的收集、处理和储存存在潜在风险,包括未授权存取、资料外洩和滥用。随着认知分析系统变得越来越复杂,确保强大的加密、身份验证通讯协定和遵守资料保护条例变得势在必行。组织应优先考虑透明的隐私权政策,实施严格的存取控制,并定期审核其係统以防止潜在的漏洞。资料隐私和安全问题正在限制市场成长。
物联网设备和巨量资料分析的采用增加
在物联网 (IoT) 设备的广泛整合和巨量资料分析的使用推动下,市场正在经历快速采用。这种协同效应使企业能够利用物联网设备产生的大量资料进行进阶分析和洞察。这些技术的无缝整合使企业能够做出资料主导的决策,提高业务效率,并在动态的市场条件下获得竞争优势。
缺乏熟练的专业人员
对资料科学、机器学习和人工智慧领域的专业人员的需求超过了当前合格候选人的供给能力。这一缺陷限制了认知分析解决方案的有效实施,并阻止组织充分利用先进的资料洞察力。对于希望利用认知分析来增强决策并获得竞争优势的公司来说,缩小这种技能差距至关重要。因此,这是阻碍市场成长的主要因素。
随着组织寻求先进的资料驱动解决方案来解决前所未有的挑战,COVID-19 的爆发对认知分析市场产生了重大影响。对即时洞察的需求激增,导致越来越多地采用认知分析来增强决策流程和业务弹性。远距工作的动态也加速了对人工智慧主导分析的需求,推动市场内的创新与成长。这场大流行凸显了认知分析在适应动态情境的重要性,并激发了跨产业资料分析策略的模式转移。
自然语言处理领域预计预测期内规模最大
由于对高阶语言理解和沟通技能的需求不断增加,自然语言处理领域预计在预测期内将达到最高成长。组织正在利用技术从非结构化资料中提取有价值的见解、增强决策流程并改善客户体验。这一市场扩张是由各行业越来越多地采用人工智慧主导的解决方案所推动的,认知分析在释放全面资料分析和解释的潜力方面发挥关键作用。
预计运输和物流行业在预测期内复合年增长率最高
预计运输和物流行业在预测期内的复合年增长率最高。认知分析可简化供应链业务、最佳化路线、库存管理和需求预测。机器学习演算法提高效率、降低成本并提高整体物流绩效。分析庞大资料集的能力使组织能够获得宝贵的见解,做出明智的决策,提高客户满意度,并快速回应运输和物流领域的动态市场需求。
由于各行业越来越多地采用高阶分析解决方案,预计北美在预测期内将占据最大的市场占有率。透过专注于利用人工智慧和机器学习技术,该地区的公司正在从大量资料集获得宝贵的见解。对即时决策工具和预测分析的需求正在推动市场扩张。
预计亚太地区在预测期内将维持最高的复合年增长率。组织正在采用认知分析解决方案,从大量资料集得出有意义的模式和预测,并增强决策流程。技术进步、人们对分析优势的认识不断增强以及数位转型倡议的普及等因素正在促进该地区认知分析市场的扩张。
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