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市場調查報告書
商品編碼
1309680
全球數據分析市場規模、份額、行業趨勢分析報告:按類型、應用、解決方案、區域展望、預測:2023-2030Global Data Analytics Market Size, Share & Industry Trends Analysis Report By Type (Predictive Analytics, Customer Analytics, Descriptive Analytics, Prescriptive Analytics), By Application, By Solution, By Regional Outlook and Forecast, 2023 - 2030 |
到 2030 年,數據分析市場規模預計將達到 3018 億美元,預測期內市場增長率為 26.8%。
市場增長因素
越來越多的公司和企業青睞數位化
通過將數據分析作為整個數位化轉型的共同主線,無論是在早期階段還是在整個數位化轉型過程中,公司都可以緩解當今關鍵業務挑戰的挑戰,這些挑戰可能成為有效數據項目的障礙。 數位化轉型的過程是持續的,並且基於數據分析,而不是一次性的舉措。 它還不僅需要採用新技術,還需要公司內部圍繞將數據置於決策核心的文化轉變。 因此,隨著數位化的快速引入,需求將會增加並推動市場的增長。
全球互聯網使用量增加
智能製造(工業4.0)也在蔓延。 物聯網是日常設備的機器對機器集成。 由於更多連接設備的帶寬消耗增加,物聯網 (IoT) 將會興起。 數據中心託管服務也有望促進物聯網行業的繁榮。 對 OTT 視頻內容的需求不斷增長、互聯網接入的增加以及家庭連接設備總數的增加都是將進一步推動互聯網需求的因素。 所有這些原因都促使更多的人使用互聯網並增加數據分析的使用,從而推動市場擴張。
市場抑制因素
企業隱私和安全漏洞增加
數據收集有時會損害客戶隱私。 因為提供您使用的服務的公司可以訪問有關您的在線交易、購買和訂閱的資訊。 一些公司與其他公司交換數據集以實現互惠互利。 所獲得的一些數據可能會被惡意用於針對個人、國家和社會。 企業需要謹慎對待從客戶收集的數據類型,並確保其受到安全保護。 僅收集分析所需的數據,敏感數據必須匿名以維護安全。 因此,這些隱私問題阻礙了市場的增長。
按類型劃分的前景
按類型劃分,市場分為規範性分析、預測性分析、客戶分析、描述性分析等。 預測分析領域將在 2022 年佔據最高的市場收入份額。 預測分析提供準確、可靠的見解,幫助公司找到問題的解決方案並發現機會,例如檢測欺詐、改進營銷活動、增強決策和提高運營效率。 當今的企業充滿了數據,從日誌文件到照片和視頻,存儲在公司內的各個位置。 數據科學家利用機器學習和深度學習算法來識別數據中的模式並預測未來事件。
解決方案展望
解決方案分為安全智能、數據管理、數據監控和數據挖掘。 到 2022 年,安全智能細分市場將佔據最高的市場收入份額。 隨著高級分析被更頻繁地用於檢測欺詐、簡化程序和管理數據風險,該細分市場正在不斷增長。 在預測期內,越來越多地採用數據分析軟件來提供安全的交易處理、對客戶記錄的受控訪問以及增強的客戶服務,預計將推動該行業的擴張。
應用前景
按應用劃分,市場分為供應鏈管理、企業資源規劃、數據庫管理、人力資源管理等。 2022 年企業資源規劃市場將出現顯著增長。 數據分析應用程序可以連接數據湖、傳統數據庫和數據倉庫,將來自大數據和業務應用程序的數據結合起來,以增強分析、預測和規劃。 此外,隨著企業越來越依賴數據驅動的決策,對數據庫訪問和評估的要求也在不斷增加。 人工智能、物聯網、混合雲和邊緣計算的快速發展推動了大數據的快速擴張。
區域展望
按地區劃分,我們對北美、歐洲、亞太地區和拉美地區 (LAMEA) 的市場進行了分析。 亞太地區將在 2022 年市場中佔據重要的收入份額。 這是由於汽車、BFSI、醫療保健和零售等其他行業的增長。 此外,隨著社交媒體、互聯網、移動電話和通信技術的進步得到更廣泛的使用,預計需求將會增長。 由於信息密集型人工智能和機器學習功能的採用,數據分析在中國、印度和日本等亞洲國家越來越受歡迎。 數據分析技術和解決方案的日益使用推動了市場增長。
The Global Data Analytics Market size is expected to reach $301.8 billion by 2030, rising at a market growth of 26.8% CAGR during the forecast period.
North America region is the leader in utilizing data analytics in different industries. Consequently, North America would account for more than 33% share of the market by 2030. Prominent companies from various sectors are present in the region and use data analytics software extensively. For instance, utilizing data analytics, Twitter, Facebook, and Instagram gather user information about their tastes and send relevant adverts. The market expansion in North America may be attributed to the availability of the infrastructure required to enable data analytics as well as the rising use of cutting-edge tools like AI and machine learning.
Moreover, over the past few years, the demand for healthcare data analytics has only grown. The Centers for Disease Control and Prevention (CDC) reported that in the US, national healthcare spending made up 17.7% of GDP in 2019. The World Bank estimated that healthcare spending accounted for 5.59% of GDP in 2020. Consequently, the use of healthcare data analytics is being encouraged by numerous healthcare institutions. Therefore, with the expansion of the healthcare sector, the market will grow rapidly.
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. For instance, In May, 2022, Amazon Web Services collaborated with IBM to enable IBM to provide a wide range of its software catalog as Software-as-a-Service (SaaS) on AWS. Moreover, the collaboration helped the customers of both companies in enhancing their modernization to the cloud and consuming IBM Services in a cloud-native manner on AWS. Additionally, In March, 2022, Microsoft entered into a partnership with FD Technologies to expand the reach of its KX Insights streaming data analytics platform as many companies seek to develop the data infrastructure for real-time decision-making.
Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Market. In August, 2022, Google extended its collaboration with CoreLogic, a leading global property data and analytics-driven solutions provider. Through this collaboration, Google focused on supporting the launch of the CoreLogic Discovery Platform. The platform was built on Google Cloud's sustainable and secure infrastructure. The collaboration aims to fulfill CoreLogic's clients' demands and allows the provision of efficient and comprehensive solutions for enterprises in the real estate finance market. Companies such as Oracle Corporation, SAP SE, IBM Corporation are some of the key innovators in the Market.
Market Growth Factors
More companies and businesses are favoring digitalization
Businesses can easily get over important contemporary business issues that may act as barriers to effective data projects by using data analytics as the commonality that runs through digital transformation, both at the beginning and throughout. The process of digital transformation is ongoing and is based on data analytics rather than being a one-time endeavor. It also demands a cultural shift within the firm centered on placing data at the core of decision-making, not merely adopting new technologies. Hence, with the rapid adoption of digitalization, the demand will increase, propelling the market's growth.
Increasing utilization of the Internet across the world
Smart manufacturing, or Industry 4.0, is also becoming more prevalent. The IoT is the machine-to-machine integration of commonplace devices. The Internet of Things (IoT) will rise due to rising bandwidth consumption as connected devices increase. Data center colocation services will also help the IoT industry flourish. Increased demand for OTT video content, increased internet access, and an increase in the number of total connected devices in households are further factors boosting internet demand. Because of all of these causes, more people are using the Internet, which has increased the use of data analytics and is driving the market's expansion.
Market Restraining Factors
Increase in privacy and security breaches among businesses
Data gathering can occasionally violate a customer's privacy because the companies whose services they are utilizing have access to information about their online transactions, purchases, and subscriptions. Some businesses might trade datasets with other businesses for mutual gain. There is a possibility that some of the data obtained could be used maliciously against an individual, nation, or society. Companies need to be careful about the kind of data they are gathering from clients and make sure the data is secure and protected. Only the data necessary for the analysis must be collected, and any sensitive data must be anonymized in order to keep it secure. As a result, these privacy concerns are hampering the growth of the market.
Type Outlook
Based on type, the market is segmented into prescriptive analytics, predictive analytics, customer analytics, descriptive analytics, and others. The predictive analytics segment garnered the highest revenue share in the market in 2022. Predictive analytics offers precise and trustworthy insights that assist firms in finding solutions to issues and seeing opportunities, such as spotting fraud, improving marketing campaigns, enhancing decision-making, and increasing operational efficiency. Today's businesses are flooded with data, which can range from log files to photos and video, stored in various locations around the company. Data scientists employ machine learning and deep learning algorithms to identify patterns in this data and forecast future events.
Solution Outlook
On the basis of solution, the market is fragmented into security intelligence, data management, data monitoring, and data mining. The security intelligence segment acquired the highest revenue share in the market in 2022. The segment is expanding because sophisticated analytics are used more frequently to spot fraud, streamline procedures, and manage data risks. Over the projection period, segment expansion is anticipated to be fueled by an increase in the adoption of data analytics software that offers secure transaction processing, control access to client records, and enhanced customer service.
Application Outlook
By application, the market is divided into supply chain management, enterprise resource planning, database management, human resource management, and others. The enterprise resource planning segment garnered a remarkable growth rate in the market in 2022. Applications for data analytics can connect data lakes, traditional databases, and data warehouses to combine Big Data with data from business applications to enhance analysis, forecasting, and planning. Additionally, the requirement to access and evaluate databases is growing as firms depend more on data-driven decision-making. The rapid expansion of big data, which created even more complexity for organizations to manage due to the segment's growth, was fueled by the quick development of artificial intelligence, IoT, hybrid cloud, and edge computing.
Regional Outlook
Region wise, the market is analysed across North America, Europe, Asia Pacific, and LAMEA. The Asia Pacific region acquired a substantial revenue share in the market in 2022. This results from the growth of other industries, including automotive, BFSI, healthcare, and retail. Additionally, it is anticipated that the demand will grow as social media, the internet, cell phones, and communication technology advances all become more widely used. Data analytics is becoming increasingly popular due to adoption of information-intensive AI and ML features throughout several Asian nations, including China, India, and Japan. Market growth is accelerated by the increasing use of data analytics techniques and solutions.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon Web Services Inc., IBM Corporation, Google LLC (Alphabet Inc.), Mu Sigma, Inc., Oracle Corporation, SAP SE, Sisense Inc, Microsoft Corporation, ThoughtSpot Inc. and Zoho Corporation Pvt. Ltd.
Recent Strategies Deployed in Data Analytics Market
Partnerships, Collaboration and Agreements:
Aug-2022: Google extended its collaboration with CoreLogic, a leading global property data and analytics-driven solutions provider. Through this collaboration, Google focused on supporting the launch of the CoreLogic Discovery Platform. The platform was built on Google Cloud's sustainable and secure infrastructure. The collaboration aims to fulfill CoreLogic's clients' demands and allows the provision of efficient and comprehensive solutions for enterprises in the real estate finance market.
May-2022: Amazon Web Services collaborated with IBM, an American multinational technology corporation. Through this collaboration, AWS aimed to enable IBM to provide a wide range of its software catalog as Software-as-a-Service (SaaS) on AWS. Moreover, the collaboration helped the customers of both companies in enhancing their modernization to the cloud and consuming IBM Services in a cloud-native manner on AWS.
Mar-2022: Microsoft entered into a partnership with FD Technologies, a leading provider of products and consulting services. This partnership aimed at Microsoft to expand the reach of its KX Insights streaming data analytics platform as many companies seek to develop the data infrastructure for real-time decision-making.
Feb-2022: Microsoft extended partnership with The Qatar Financial Center Regulatory Authority (QFCRA), an independent regulator of the QFC, incorporated to authorize and regulate firms and individuals conducting financial services in or from the QFC. This partnership aimed Microsoft to explore a dedicated path for solutions that enhances Artificial Intelligence (AI) and data analytics to obtain actionable information via social media analytics, Robotics Process Automation (RPA), AI-powered knowledge mining, chatbots, and to transform digital objectives.
Dec-2021: Google Cloud partnered with Kyndryl, an American multinational information technology infrastructure services provider. Following this partnership, the latter company focused on expediting the digital transformation of customers and assisting them in becoming more data-driven, advanced, and sustainable businesses. In this collaboration, Google and Kyndryl applied their expertise in applied AI, analytics, and data, thereby assisting customers in attaining new knowledge and driving business results.
Nov-2021: Amazon Web Services partnered with Nasdaq, an American stock exchange based in New York City. Under this partnership, AWS focused on providing the next generation of cloud-enabled infrastructure for the capital markets of the world. Additionally, the partnership provided Nasdaq a way to move its main infrastructure to the cloud and create new services as they advance its second decade of cloud adoption.
Nov-2021: Amazon Web Services collaborated with Teradata, a connected multi-cloud data platform for business analytics. With this collaboration, AWS aimed at expediting Teradata's capabilities to fulfill the demands of the voluminous data workloads and subsequently help customers in utilizing data to modernize and innovate rapidly in the cloud. The collaboration accelerated the benefits and value that Teradata can provide to its customers.
Oct-2021: IBM formed a collaboration with Deloitte, a multinational professional services network. This collaboration aimed to introduce a new offering, DAPPER, which is an AI-enabled managed analytics solution. DAPPER's end-to-end capabilities would enable companies to gain confidence in the insights that their data offers through a secured, simple to consume managed service offering to resolve the challenges of adopting AI.
Aug-2021: IBM teamed up with Black & Veatch, a global leader in building critical human infrastructure. This collaboration aimed to jointly market Asset Performance Management (APM) solutions, which include remote monitoring technologies that integrate near real-time data analytics with AI to assist users to keep equipment and assets running at peak performance and reliability.
Aug-2021: IBM partnered with Cloudera, an American software company. Under this partnership, the companies would strengthen their joint development as well as go-to-market programs in order to bring the cutting-edge analytical potentials of IBM Cloud Pak for Data, a unified platform for AI and data, to the Cloudera Data Platform.
Mar-2021: Google Cloud collaborated with Deloitte, an international professional services network. Following this collaboration, the companies launched a platform for enterprises to assist them in handling cyber threats. This cloud-native platform is called PACE or Predictive Analytics for Cyber in Enterprises tool. The platform utilizes Deloitte's cyber risk quantification and risk management frameworks along with Google Products namely Loker, Chronicle, and BigQuery. PACE enables companies to identify and mitigate cyber threats.
Mar-2021: Oracle came into partnership with Red Bull Racing Honda. Under this partnership, Red Bull would leverage the ML and data analytics offerings of Oracle Cloud Infrastructure (OCI) to optimize how data is utilized over its business; from on-track tasks to putting more data in the hands of the Team's global fan base. In addition, the OCI-powered offerings would assist the team to sharpen its already formidable competitive edge.
Feb-2021: SAP entered into a partnership with Software AG, an enterprise software company. This partnership aimed to enhance surface supply chain management data to improve product quality. Additionally, the partnership would bring sensor-generated time-series data into the analytics and operational performance fold.
Product Launch and Product Expansions:
May-2023: ThoughtSpot revealed ThoughtSpot Monitor for Mobile, a mobile application that works with the ThoughtSpot analytics application. The new ThoughtSpot Monitor for Mobile delivers key performance indicators (KPIs) and other business metrics to users.
Nov-2022: IBM launched IBM Business Analytics Enterprise. The new product is a comprehensive suite that includes budgeting, reporting, forecasting, planning, and dashboard capabilities, providing the user with a holistic view of data sources across the entire business.
Sep-2022: ThoughtSpot unveiled ThoughtSpot Cloud, a fully managed SaaS offering based on its popular augmented analytics platform. The new platform is packed with artificial intelligence and automation. ThoughtSpot Cloud features a full-stack architecture and intuitive insight generation capabilities via the in-memory calculation engine.
Mar-2022: Microsoft unveiled Azure Health Data Services, a platform for analyzing and managing different kinds of patient data. The launched platform-as-a-service (PaaS) assists enterprises in managing disparate kinds of protected health information (PHI) spanning over multiple data stores and allowing them to work with -- and gather insights from -- patient data utilizing fewer resources and time.
Nov-2021: Oracle expanded its product line with new capabilities in Oracle Fusion Cloud Enterprise Resource Planning (ERP) Analytics. This product expansion aimed to allow finance and operations leaders to have higher visibility into costs and assets and fasten decision-making. Oracle Fusion ERP Analytics would provide the insights required to easily analyze working capital and procurement, revenue, payment performance, and profitability.
Jun-2021: SAP unveiled the SAP Business Network, integrating the vendor's logistics, purchasing, and asset intelligence software & services. In addition, the company also introduced new planning and analytics capabilities for the vendor's Business Technology Platform, along with new planning & data analysis capabilities and advancements to the SAP Business Technology Platform (BTP).
Mar-2021: Oracle unveiled a set of innovative enhancements to Oracle Autonomous Data Warehouse. These enhancements offer easy-to-use, no-code tools, which would empower Data Analysts to do tasks that earlier needed data engineers and data scientists.
Feb-2021: Sisense unveiled a new AI-driven analytics platform called Sisense Fusion. The new platform features actionable intelligence made up of five key components (Fuse, Connect, Analyze, Augment, Infuse) to enable businesses to make improved decisions, as well as the ability to embed analytics into customer-facing applications.
Acquisitions and Merger:
Jan-2022: Oracle took over Federos, a leading provider of cloud-enabled, AI-optimized network assurance, analytics, and automation software. With this acquisition, Oracle focused on empowering service providers with AI-optimized service and network analytics, assurance, and automated orchestration.
Jul-2021: Microsoft took over Suplari, a Seattle startup that utilizes AI to aid companies to understand and get a handle on spending. This acquisition aimed to aid customers to enhance financial visibility by using AI to automate the analysis of existing data and historical patterns from numerous data sources.
May-2021: ThoughtSpot entered into an agreement to acquire Diyotta, a data integration tool that connects enterprises to all their data. The acquisition would enable the company to further boost the ecosystem for the Modern Analytics Cloud, helping connect and integrate the analytics platform of the company with technologies across this growing industry.
Feb-2021: Amazon Web Services (AWS) acquired DataRow, a Web-based client for the Amazon Redshift cloud data warehouse. Through this acquisition, AWS enabled customers to offer users better AWS visualization & query resolution.
Market Segments covered in the Report:
By Type
By Application
By Solution
By Geography
Companies Profiled
Unique Offerings from KBV Research
List of Figures