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市場調查報告書
商品編碼
1518772
全球內容分析、發現與認知軟體市場 2024-2031Global Content Analytics, Discovery and Cognitive Software Market 2024-2031 |
內容分析、發現和認知軟體市場規模、佔有率和趨勢分析報告(按類型(測試軟體(多語言)和富媒體標記(音訊、視訊和圖像))以及最終用戶(政府和公共服務、金融、銀行與保險、IT 與電信、媒體與網路出版、醫療保健與製藥、零售及其他((交通與房地產)),預測期(2024-2031 年)
預計內容分析、發現和認知軟體市場在預測期內將以 13.7% 的複合年成長率成長。該軟體由組織集體或單獨使用,以分析非結構化資料並從中提取見解,例如客戶互動、購買歷史記錄、搜尋歷史記錄等。由於各行業人工智慧(AI)和機器學習(ML)技術的蓬勃發展,該行業預計將成長,以增強資料處理能力,定期生成非結構化資料,擴大使用分析軟體進行資料提取和策略制定,私人參與者投資以增強資料學習模型。
Content Analytics, Discovery and Cognitive Software Market Size, Share & Trends Analysis Report by type (Test Software (Multiple Languages), and Rich Media Tagging (Audio, Video & Image)), and by End User (Government & Public Services, Finance, Banking & Insurance, IT & Telecom, Media & Web Publishing, Healthcare & Pharmaceuticals, Retail, and Others ((Transport & Real Estate)), Forecast Period (2024-2031)
Content analytics, discovery, and cognitive software market is anticipated to grow at a CAGR of 13.7% during the forecast period. The software is used collectively or individually by organizations to analyze and extract insights from unstructured data such as customer interaction, purchase history, search history, and many others. The industry is expected to grow owing to the boom in artificial intelligence (AI) and machine learning (ML) technology across industries to enhance data processing capabilities increase in regular generation of unstructured data, rising use of analytical software for data extraction and strategy formation, and investment by private players to enhance data learning models.
Market Dynamics
Rising Adoption of Intelligent Automation
The growth in content analytics, discovery, and cognitive software market is driven by the rising adoption of intelligent automation in several industries to increase productivity and efficiency within the organization. For instance, according to the report by World Economic Forum, by 2025, automation and a new division of labor between humans and machines will disrupt 85 million jobs globally in medium and large businesses across 15 industries and 26 economies and more than 80.0% of business executives are accelerating plans to digitize work processes and deploy new technologies, while 50.0% of employers are expecting to accelerate the automation of some roles in their companies.
A large amount of Unstructured Data
Organizations are generating and accumulating vast amounts of data from within and beyond, which is very significant for data extraction and processing. Such processes require sophisticated software for processing, analysis, discovery, and insight collection. Nowadays, most companies are aiming to leverage such data for business insights. For instance, as per World Economic Forum, the globe generates 500 million tweets, 294 billion emails, 4 petabytes of data are created on Facebook, 4 terabytes of data are created from each connected car, 65 billion messages are sent on WhatsApp, and 5 billion searches are made every day which is estimated to contribute to 463 exabytes of data globally by 2025.
Test Software is Projected to Emerge as a Bigger Market
The software testing market may emerge as a bigger market as compared to rich media tagging, it is used to evaluate and verify that a software product or application performs as intended, aiming to prevent bugs and improve performance. It includes a wide range of testing such as acceptance testing, integration testing, unit testing, functional testing, performance testing, regression testing, security testing, and usability testing. It requires a complex process and highly skilled individuals to perform the task while its cost and time can be substantially depreciated using cognitive software making it a bigger market for the software.
Retail Is One of the Major End-user
The retail sector remains a front-runner in the adoption and use of cognitive ability software due to its large customer base and data generation. The industry uses content analysis and discovery to understand market trends, customer emotions, competitor activities, and strategy creation. For instance, as per the Computing Technology Industry Association (CompTIA) 2024 industry report, 22.0% of firms are aggressively pursuing the integration of AI across a wide variety of technology products and business workflows, 33.0% of firms are engaging in the limited implementation of AI and 45.0% of firms are still in the exploration phase.
The global content analytics, discovery, and cognitive software market is further segmented based on geography including North America (the US, and Canada), Europe (the UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia-Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).
North America holds the highest share of the global content analytics, discovery, and cognitive software market share. The key factors contributing to the growth are the supportive regulatory environment, strong R&D ecosystem, and presence of major content analytics, discovery, and cognitive software providers such as Google, Meta, IBM, and many more., Moreover, North Americans have been one of the early adopters of the technology and are leading innovators in the space with the majority of cognitive and AI-based software being provided by US-based companies.
Asia-pacific is the Fastest Growing in Content Analytics, Discovery, and Cognitive Software market
The major companies serving the global content analytics, discovery, and cognitive software market include Meta Platforms Inc., IBM Corp., Google LLC, Oracle Corp., and Microsoft Corp., among others. The market players are focusing on capitalizing on growth by adopting strategies such as collaboration, partnerships, and market expansion, among others. For instance, in August 2023, IBM Consulting collaborated with Microsoft to help companies accelerate the adoption of generative AI and scale Azure OpenAI service. The new IBM consulting Azure OpenAI service offering, which is available on Azure Marketplace is a fully managed AI service that allows developers and data scientists to apply powerful large language models, including their GPT and codex series. It aims to help businesses define an adoption strategy and an initial set of specific and value-added generative AI use cases.