市場調査レポート
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1098528
予測分析の世界市場予測(~2028年):タイプ、展開モデル、組織規模、地域別の分析Predictive Analytics Market Forecasts to 2028 - Global Analysis By Type (System, Services), Deployment Model (Cloud, On-Premises), Organization Size (Large Enterprises, Small and Medium-Sized Enterprises), and By Geography |
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予測分析の世界市場予測(~2028年):タイプ、展開モデル、組織規模、地域別の分析 |
出版日: 2022年07月01日
発行: Stratistics Market Research Consulting
ページ情報: 英文 200+ Pages
納期: 2~3営業日
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世界の予測分析の市場規模は、2021年に106億7,000万米ドルとなり、予測期間中に23.7%のCAGRで拡大し、2028年までに472億9,000万米ドルに達すると予測されています。
当レポートでは世界の予測分析市場を調査し、市場の促進要因・抑制要因、市場機会、COVID-19の影響、セグメント別の市場分析、競合情勢、主要企業のプロファイルなど、体系的な情報を提供しています。
Table17 Global Predictive Analytics Market Outlook, By On-Premises (2020-2028) (US $MN)
Note- Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
According to Stratistics MRC, the Global Predictive Analytics Market is accounted for $10.67 billion in 2021 and is expected to reach $47.29 billion by 2028 growing at a CAGR of 23.7% during the forecast period. Predictive analytics is the branch of the highly developed analytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modelling, machine learning, and artificial intelligence to analyze current data to make predictions about future. The objective is to go beyond and know what has happened to provide a best estimation of what will happen in the future. This use of analytics will be helpful to avoid predicted problems, such as equipment failure or depleted stock, or to capitalize on opportunities to market products to customers, like targeting people in happy or dejecting moods after a sporting event.
Market Dynamics:
Driver:
Rise in acceptance of predictive modeling tools
Predictive analytics has long been used for operations, logistics, and supply chain management. These tools help in accelerating the methods of developing and analyzing predictive models that are used by organizations for conducting operations such as customer analytics, risk reporting, threat management, and product innovation. Also, several enterprises are streamlining their sales pipelines from lead generation to customer base by using predictive analytics on large volumes of customer data. Moreover, the use of predictive modeling tools for social media advertising, e-mail campaigns, and cognitive analysis of customers has led to growth in sales and an increase in customer retention. Thus, several industries such as BFSI, retail & e-commerce, and manufacturing are adopting predictive modeling tools, which are expected to contribute to the market growth.
Restraint:
Lack of skilled labor and cost complexity of software
The absence of trained professionals with sufficient knowledge of the functioning restricts market development. For this market, numerous restrictive variables are described as complex analytical workflows and a variety of data models based on business needs. It has a heap of problems to address for predictive analysis to work effectively. The trend found from which observations are made cannot always be consistent. Various market models follow distinct trends. Understanding each trend and predicting the outcome accordingly is one of the restraints.
Opportunity:
Rise of modern technologies such as IoT and AI
IoT environment is increasing the implementation of it, as it facilitates predictive maintenance leading to enhanced energy efficiency and higher levels of production uptime. In addition, numerous industries are demanding a solution that can predict when their machines are going to get damaged. They are implementing sensors that can analyze the patterns and predict the outcome of any anomaly in the operation of machines. This as a result enables industries to reduce the downtime of the machine and increase productivity. This benefit is expected to create opportunity. Predictive analytics-driven by AI can take the existing data and unlock immense value from it. AI-powered analytics can help in predicting which leads to score as potential customers, present insights on the competitors, and predict what target audiences want to buy and consume.
Threat:
Incorporation of data from data silos
Removing value from data has become a key requirement for companies to successfully mitigate risks, target valuable customers, and evaluate business performance. Additionally, monetizing these data assets require the availability of a sufficient amount of data. Moreoevr, data merging from distinct data sources into meaningful information can incite various new challenges for organizations, especially centralized business enterprises. Data exchange and data ecosystem deliver tools to analyze the collected data at a centralized location and help extract and cross-check business-critical components. The development of data exchanges and data ecosystems varies based on the assumptions made in the value of the data for each customer segment.
Cloud segment is expected to be the largest during the forecast period
Cloud segment is expected to be the largest during the forecast period, owing to its cost-effectiveness and easy worldwide accessibility cloud-based deployment model registered significant growth. Besides, owing to modernizations in cloud technologies and a rise in data generation from numerous constituents and customers, the cloud-based deployment model is gaining traction.
The Services segment is expected to have the highest CAGR during the forecast period
The Services segment is expected to have the highest CAGR during the forecast period. The growth of the service segment is mainly accredited to increasing deployment of predictive analytics solutions in numerous industry verticals, which is likely to lead to increased demand for pre- and post-deployment services.
Region with highest share:
The North America is projected to hold the highest market share, due to the existence of numerous developed economies, such as Canada and the US, and focus on innovating the existing solutions. Moreover, early acceptance of technologies and high penetration in several industry verticals, such as manufacturing, healthcare, transportation, and logistics, are driving the growth of the market in this province. Also, technological advancements and a strong presence of market players, particularly in the U.S. Additionally, funding provided to new entrants by venture capitalists is anticipated to alleviate the competition in the market.
Region with highest CAGR:
Asia Pacific is projected to have the highest CAGR, owing to growing deployment and acceptance of advanced predictive analytics solutions. Moreover, higher potential of the Asia Pacific market leads to solution and service providers increasing their existence in the province. Moreover, increasing focus and investments made on emerging technologies such as artificial intelligence, IoT, and machine learning is expected to drive the market in the province.
Key players in the market:
Some of the key players profiled in the Predictive Analytics Market include Alteryx, Inc., Cloudera Inc, Fair Isaac Corporation, Information Builders, International Business Machines Corporation, KNIME, Microsoft Corporation, Oracle Corporation, QlikTech international AB, Salesforce.com Inc., SAP SE, SAS Institute Inc., Teradata Corp, TIBCO Software Inc., Vista Equity Partners Management LLC.
Key developments:
In August 2020: SAP partnered with HPE to deliver SAP HANA Enterprise Cloud with HPE GreenLake Cloud Services. This partnership will enable customers to keep their SAP software landscape and data on-premises.
In September 2021: Teradata announced that Tesco PLC is expanding its cooperation with Teradata by incorporating Vantage into its data platform. Tesco may use Vantage to eliminate silos and query all their data in real time, regardless of whether it is in the cloud, multiple clouds, on-premises, or any mix thereof, to gain a comprehensive view of their business.
In January 2021: TIBCO Software announced the successful completion of its acquisition of Information Builders, Inc. (ibi). ibi's data management and analytics capabilities will be added to the superior TIBCO Connected Intelligence platform as a result of the acquisition. Through this acquisition, TIBCO software concentrates on business alignment and resource mapping to ensure the continued health and support of its increased client base and global partner network.
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What our report offers:
Free Customization Offerings:
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