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全球高级分析市场 - 2024-2031

Global Advanced Analytics Market - 2024-2031

出版日期: 2024年02月09日 | 出版商:

DataM Intelligence | 英文 219 Pages | 商品交期: 约2个工作天内

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简介目录

概述

全球高阶分析市场将于 2023 年达到 513 亿美元，预计到 2031 年将达到 3,605 亿美元，2024-2031 年预测期间CAGR为 28.0%。

进阶分析包括功能即服务，这是一种向使用者隐藏硬体基础架构的云端服务。因此，使用者无需担心底层基础设施的配置、管理和维护。进阶分析简化了开发和部署流程。开发人员可以专注于编码，而无需处理基础设施，从而减少了在市场上推出应用程式所需的时间。

全球主要关键参与者越来越多地采用高阶分析有助于推动预测期内的市场成长。例如，2022 年 1 月 24 日，IRCC 现在开始使用进阶资料分析来处理在加拿大境外提交的 TRV 申请。加拿大移民、难民和公民部 (IRCC) 正在扩大先进资料分析的应用，以应对不断增加的临时居民签证申请数量。

由于主要参与者较早采用高级分析，北美成为市场的主导地区。例如，2023 年12 月5 日，定义财产和意外伤害(P&C) 以及一般保险未来的智慧解决方案供应商Duck Creek Technologies 宣布推出Duck Creek Clarity，这是一种创新的云端原生技术解决方案，也是Duck的继任者克里克见解。

动力学

全球对数据分析解决方案和最佳化的需求不断增长

许多行业收集的资料在数量、多样性和速度方面的快速增长推动了对高级分析工具的需求。各种公司产生了大量的巨量资料，这增加了对收集有用资料的高级分析工具的需求。巨量资料的数量、速度和多样性有时超出了传统资料处理方法的管理范围，这强调了进阶分析的必要性。

领先的公司正在逐步利用先进的分析进行风险管理和评估。它有助于检测潜在的诈欺并预测市场趋势，而分析对于管理不可预测性至关重要。例如，2023 年6 月8 日，全球领先的专业服务公司Aon plc 宣布推出其定价平台，这是一种软体解决方案，旨在透过更好的风险选择和有意义的分析来提高公司业绩，为保险公司提供竞争优势。

全球数位化不断发展

由于公司和日常活动变得数位化，收集的资料量显着增加。其中包括来自社交媒体互动、线上购买、物联网使用、行动应用程式和各种其他来源的资讯。数据分析对于从海量资讯库中提取有价值的见解至关重要。

电子商务的扩张和对线上服务的日益依赖引发了数位资料的大幅成长。零售商利用分析来掌握消费者行为、调整定价策略并客製化行销方法。包括人工智慧和机器学习在内的资料分析技术的不断发展提高了其有效性和可访问性。这些技术使组织能够从资料中提取更深刻的见解和预测。

不同政府实施严格的数据监管

政府的一般资料保护法规预计将影响使用巨量资料技术的高级分析解决方案。在不破坏资料隐私的情况下，即使在业务模组中引入巨量资料服务，零售商也无法有效利用优势。因此，儘管资料隐私法规制定了安全协议，但消费者仍难以实现理想的目标。

近年来，这些法规直接影响了许多跨国公司和国际零售商的成长。此外，一些地区缺乏知识、高昂的分析费用以及无法了解消费者的线下市场行为正在阻碍全球高阶分析市场的成长。此外，复杂的系统整合预计将阻碍全球零售分析市场的发展。

Advanced analytics includes function-as-a-service a cloud service that conceals the hardware infrastructure from users. As a result, users are relieved from the need to worry about provisioning, administration and maintenance of the underlying infrastructure. Advanced Analytics streamlines both the development and deployment processes. Developers can concentrate on coding without the necessity of handling infrastructure, thereby diminishing the time required to launch applications in the market.

Growing adoption of advanced analytics by the major key players globally helps to boost market growth over the forecast period. For instance, on January 24, 2022, IRCC, now started using advanced data analytics to process TRV applications submitted outside of Canada. The IRCC Immigration, Refugees and Citizenship Canada (IRCC) is broadening the application of advanced data analytics to address the rising number of Temporary Resident Visa applications.

North America is a dominating region in the market due to the early adoption of advanced analytics by major key players. For instance, on December 05, 2023, Duck Creek Technologies the intelligent solutions provider defining the future of property and casualty (P&C) and general insurance announced the launch of Duck Creek Clarity, an innovative, cloud-native technology solution and the successor to Duck Creek Insights.

Dynamics

Growing Demand for Data Analytics Solutions and Optimization Globally

The need for advanced analytics tools has been driven by the fast increase of data collected across numerous sectors in terms of amount, diversity and speed. Large volumes of big data have been generated by a variety of companies, which has increased the need for advanced analytics tools for collecting useful data. The quantity, velocity and diversity of big data are sometimes too much for traditional data processing methods to manage, which emphasizes the necessity for advanced analytics.

Leading companies are progressively utilizing advanced analytics for risk management and assessment. It helps detect potential fraud and forecast market trends and analytics are essential for managing unpredictability. For instance, on June 08, 2023, Aon plc, a leading global professional services firm announced the launch of its Pricing Platform, a software solution that aims to provide insurers with a competitive advantage through better risk selection and meaningful analytics to drive company performance.

Growing Digitalization Globally

The amount of data collected has significantly increased as a result of companies and everyday activities getting digital. The includes information from social media interactions, online purchases, IoT usage, mobile applications and a variety of other sources. Data analytics is essential for extracting valuable insights from this extensive reservoir of information.

The expansion of e-commerce and the growing dependence on online services have triggered a significant surge in digital data. Retailers employ analytics to grasp consumer behavior, fine-tune pricing strategies and customize marketing approaches. The ongoing evolution of data analytics technologies, encompassing artificial intelligence and machine learning, has heightened their effectiveness and accessibility. The technologies empower organizations to extract more profound insights and predictions from their data.

Stringent Data Regulation Imposed by Different Governments

The government's general data protection regulation is expected to affect the advance analytics solutions that use big data technology. Without breaking data privacy, no retailer would be able to take efficient advantages even after introducing big data services in their business module. Hence, it made it difficult for the consumers to attain desirable goals despite the security protocols set by the data privacy regulations.

The regulations have directly impacted the growth of many multinational companies and international retailers in recent times. Besides, lack of knowledge in some regions, high analytics expenses and inability to understand consumers' offline market behavior are hampering the global advanced analytics market's growth. Furthermore, complex systems integration is a problem that is expected to hamper the development of the global market for retail analytics.

Segment Analysis

The global advanced analytics market is segmented based on offering, type, deployment, enterprise size, end-user and region.

Growing Demand of Advanced Analytics by the Retail Sector

Based on the end-user, the advanced analytics market is segmented into IT and telecom, retail, manufacturing, government, energy & utilities and others. The retail industry has shown an unprecedented shift that has changed customer expectations and technological developments are rapidly revolving around the retail landscape day by day. In recent times customers are demanding rich shopping experiences that are hyper-connected, engaging and personalized. The growing expansion of sales and marketing channels such as social commerce and mobile are transforming the retail industry's growing trend.

The traditional on-premise analytical model expected to show moderate adoption in the forecast period due to security assurance. For instance, in May 2020, the European multi-brand fashion retailer Sportia Group adopted oracle cloud-based retail solutions to break the obstacle between brands and geographies, consecutively optimizing the customers' inventory availability. The above solution is estimated to provide full visibility about the inventory availability across channels, which would lower the transfer cost and increase stock rotation.

Geographical Penetration

North America is Dominating the Advanced Analytics Market

North America accounted for the largest market share in the global advanced analytics market due to the growing adoption of data analytics by various industrial sectors in the region. The U.S. stands as a globally center for technological innovation within its region. Hosting numerous prominent technology firms, research institutions and startups, it plays an active role in driving progress in the field of advanced analytics.

Some of the major key players in the region follow merger and acquisition strategies to expand their business. For instance, on May 11, 2023, SAP SE and Google Cloud expanded their partnership to build the future of open data and AI for enterprises. The solution allows customers to construct a comprehensive data cloud by integrating data from various parts of the enterprise landscape through the SAP Datasphere solution, coupled with Google's data cloud. The enables businesses- to observe their complete data portfolios in real time and optimize the value derived from their investments in Google Cloud and SAP software.

Competitive Landscape

The major global players in the market include Oracle Corporation, Infogain Corporation, Databricks, Salesforce, QlikTech International AB, Amazon Web Services, Inc., Adobe, SAS Institute., Teradata and Dataiku.

COVID-19 Impact Analysis

All industries globally have been affected by COVID-19 including the advance analytics industry. Due to disruption in the supply chain and decreased manufacturing activities, IT infrastructure construction has slowed down. The health crisis has had an unprecedented effect across sectors of businesses; although some are suffering, others prosper. Also, due to the lockdowns implemented globally, retail analytics companies are experiencing a slowdown in growth.

As most upcoming analytics ventures have been placed on hold due to the pandemic, the competition between key advanced analytics companies is expected to intensify. Businesses have also begun to make attempts to return to normal and face numerous consumer and organizational challenges. New practices, such as work-from-home and social distancing, have contributed to the need for remote patient and asset health tracking and smart payment technologies and to build digital infrastructures for large-scale implementations of technology. The implementation of lockdowns has led to an increased reliance on cloud-based solutions.

Russia-Ukraine War Impact Analysis

The major key players in the advanced analytics market have supply chain dependencies on Russia and Ukraine, disruptions in the supply chain due to the conflict could affect the availability of key components or services. Economic uncertainty arising from geopolitical instability tends to influence businesses, leading to hesitation or a reduction in investments in advanced analytics solutions. Companies may delay or cut back on such investments due to apprehensions about the general economic conditions.

Global cyber risks increase as geopolitical tensions increase. Major players in the advanced analytics sector have to spend money on cybersecurity defenses to safeguard confidential information and intellectual property. The global economy is more broadly impacted by geopolitical events. Business budgets and willingness to invest in advanced analytics solutions are impacted by economic downturns or slowdowns.

By Offering

Solutions
Services

By Type

Big Data Analytics
Business Analytics
Customer Analytics
Risk Analytics
Statistical Analysis
Others

By Deployment

On-premise
Cloud

By Enterprise Size

Large Enterprises
Small & Medium Enterprises (SMEs)

By End-User

IT and Telecom
Retail
Manufacturing
Government
Energy and Utilities
Others

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- UK
- France
- Italy
- Spain
- Rest of Europe
South America
- Brazil
- Argentina
- Rest of South America
Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific
Middle East and Africa

Key Developments

On October 04, 2023, Act-On Software, a provider of enterprise marketing automation solutions launches advanced analytics with AI to provide the most powerful analytics in a marketing automation platform. Act-On Analytics eliminates the reliance of marketers on IT and data analysts for conducting custom analytics on marketing campaigns.
On December 05, 2023, Duck Creek Technology launched the next generation of data management and analytics with the launch of duck creek clarity. Duck Creek Clarity is a cloud-native solution designed to streamline the tasks of retrieving, overseeing and consolidating data derived from Duck Creek's SaaS-based core systems, encompassing policy, billing and claims solutions.
On December 06, 2023, FICO, an advanced analytics software global leader launched an advanced analytics platform for banking in India. In India, an impressive 40% of the country's 1.4 billion residents are already utilizing digital banking services. The FICO Platform is positioned to enhance customer satisfaction for local businesses by offering a range of advanced decision-making and AI tools tailored specifically for the local market.

Why Purchase the Report?

To visualize the global advanced analytics market segmentation based on offering, type, deployment, enterprise size, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of Advanced Analytics market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global advanced analytics market report would provide approximately 78 tables, 76 figures and 219 Pages.

Target Audience 2024

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Offering
3.2. Snippet by Type
3.3. Snippet by Deployment
3.4. Snippet by Enterprise Size
3.5. Snippet by End-User
3.6. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Growing Demand for Data Analytics Solutions and Optimization Globally
  - 4.1.1.2. Growing Digitalization Globally
- 4.1.2. Restraints
  - 4.1.2.1. Stringent Data Regulation Imposed by Different Governments
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Offering

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 7.1.2. Market Attractiveness Index, By Offering
7.2. Solutions*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Services

8. By Type

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 8.1.2. Market Attractiveness Index, By Type
8.2. Big Data Analytics*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Business Analytics
8.4. Customer Analytics
8.5. Risk Analytics
8.6. Statistical Analysis
8.7. Others

9. By Deployment

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 9.1.2. Market Attractiveness Index, By Deployment
9.2. On-premise*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Cloud

10. By Enterprise Size

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 10.1.2. Market Attractiveness Index, By Enterprise Size
10.2. Large Enterprises*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Small & Medium Enterprises (SMEs)

11. By End-User

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.1.2. Market Attractiveness Index, By End-User
11.2. IT and Telecom*
- 11.2.1. Introduction
- 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. Retail
11.4. Manufacturing
11.5. Government
11.6. Energy and Utilities
11.7. Others

12. By Region

12.1. Introduction
- 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 12.1.2. Market Attractiveness Index, By Region
12.2. North America
- 12.2.1. Introduction
- 12.2.2. Key Region-Specific Dynamics
- 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.2.8.1. U.S.
  - 12.2.8.2. Canada
  - 12.2.8.3. Mexico
12.3. Europe
- 12.3.1. Introduction
- 12.3.2. Key Region-Specific Dynamics
- 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.3.8.1. Germany
  - 12.3.8.2. UK
  - 12.3.8.3. France
  - 12.3.8.4. Italy
  - 12.3.8.5. Spain
  - 12.3.8.6. Rest of Europe
12.4. South America
- 12.4.1. Introduction
- 12.4.2. Key Region-Specific Dynamics
- 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.4.8.1. Brazil
  - 12.4.8.2. Argentina
  - 12.4.8.3. Rest of South America
12.5. Asia-Pacific
- 12.5.1. Introduction
- 12.5.2. Key Region-Specific Dynamics
- 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.5.8.1. China
  - 12.5.8.2. India
  - 12.5.8.3. Japan
  - 12.5.8.4. Australia
  - 12.5.8.5. Rest of Asia-Pacific
12.6. Middle East and Africa
- 12.6.1. Introduction
- 12.6.2. Key Region-Specific Dynamics
- 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

13.1. Competitive Scenario
13.2. Market Positioning/Share Analysis
13.3. Mergers and Acquisitions Analysis

14. Company Profiles

14.1. Oracle Corporation*
- 14.1.1. Company Overview
- 14.1.2. Product Portfolio and Description
- 14.1.3. Financial Overview
- 14.1.4. Key Developments
14.2. Infogain Corporation
14.3. Databricks
14.4. Salesforce
14.5. QlikTech International AB
14.6. Amazon Web Services, Inc.
14.7. Adobe
14.8. SAS Institute
14.9. Teradata
14.10. Dataiku

LIST NOT EXHAUSTIVE