查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1644351

英國商業智慧：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030 年）

United Kingdom Business Intelligence - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 100 Pages | 商品交期: 2-3個工作天內

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

預計預測期內英國商業智慧市場複合年成長率將達到 9.2%。

英國商業智慧-市場-IMG1

主要亮點

  • 英國政府與微軟簽署了一份新的為期三年的合作備忘錄，以幫助公共部門利用雲端運算和商業應用的優勢。據微軟稱，新的合作備忘錄名為《數位轉型安排2021》（DTA21），將允許所有符合資格的公共部門組織以折扣和優惠條件存取 Microsoft 365、Azure、Dynamics 365 和 Power Platform 雲端服務。
  • 特定產業的分析和商業智慧使英國各地的企業能夠根據客戶偏好、促銷反應、購買習慣、網路購物體驗以及影響銷售的模式和趨勢發現詳細的銷售趨勢。透過利用客戶的購買習慣，企業可以確定如何留住有價值的客戶並利用錯失的銷售機會。
  • 透過深入了解這些全面的見解，該地區的企業可以確定需要加強哪些連結銷售機會以及哪些產品最適合交叉銷售。透過識別正在下滑的客戶，公司可以在客戶完全停止購買之前確定重新定位產品的最佳計劃。銷售經理可以確定最佳客戶類型、在哪裡找到他們，並確定最有效的獲取和轉換策略。
  • 新冠疫情顯著減緩了大多數公司的人工智慧投資。雖然人工智慧仍然是一個關鍵技術領域，但公司需要有效的方法來擴展他們的人工智慧實踐，並利用人工智慧發展業務，以加速他們的人工智慧投資的投資回報。隨著組織面臨最佳化工作流程越來越大的壓力，我們預計會看到更多公司轉向其 BI 團隊來管理和開發 AI/ML 模型。推動基於 BI 的新 AI 開發人員類別出現的關鍵因素有兩個：首先，使用自動化平台等工具增強 BI 團隊的能力比僱用專門的資料科學家更具擴充性和永續。其次，BI 團隊比資料科學家更接近業務用例，這從工作模型的要求加速了生命週期。
  • 公司經常聘請業務分析師擔任 BI 和分析專家。透過將低薪員工轉變為需求量大的搶手技能型員工，公司可以獲益。然而，這往往是在薪資沒有大幅增加的情況下實現的。分析和 BI 專業人員的薪水不斷上漲將提高其技能水平，因為員工為提高技能所付出的額外努力將獲得豐厚的財務回報。

英國商業智慧市場趨勢

英國擴大採用物聯網技術和先進的分析工具

  • 分析和 BI 使公司能夠深入了解單一交易以獲得商機和成本問題的答案。透過檢查當前和過去的現金流，企業可以根據其未來的財務狀況做出決策。透過按地點細分收益，我們可以按分店計算出每條產品線的實力。例如，您可以從一個位置移除某種特色產品，並在另一個位置進一步推廣它。可自訂的儀表板可讓企業主管追蹤關鍵績效指標 (KPI)，以實現有效的財務管理和監控。
  • 此外，由於 BI資料包括儲存在資料倉儲中的歷史資訊和從各種內部和外部來源收集的新資料，因此 BI 工具可以支援戰略和戰術性決策流程。各行各業擴大使用 BI 來解決低效率決策問題。然而，BI 和分析為業務決策者提供了真正的支援。但重要決策比業務決策更為複雜、更為廣泛。需要更多的一般資訊、專家判斷和創造力來了解情況並確定替代行動方案。
  • 今年 12 月，商業風險情報公司 Sayari 被英國皇家商業服務局 (CCS) 選為 G-Cloud 13 框架的供應商，該框架是政府與雲端基礎服務提供者之間的合約。此次合作將使國家犯罪局 (NCA)、國防部 (MOD)、英國稅務海關總署、嚴重詐騙辦公室和英國財政部等部門和機構加速採用 Sayari 的商業風險情報平台。政府分析人員和調查人員團隊將能夠更快地獲得填補資訊空白所需的難以找到的聯繫。
  • 去年 12 月，Celios Group 同意成為澳洲物聯網供應商 Urban.io 在英國的首選分析合作夥伴。紐卡斯爾的一位資料分析和測試解決方案專家表示，可操作資料正在徹底改變現代組織的工作方式，並幫助他們挽回疫情期間損失的收入。
  • 根據微軟去年的物聯網報告，英國25%的計劃處於運用階段，91%的專案已經採用了物聯網。微軟對四個行業的公司進行了調查，發現大多數公司都在採用物聯網。每個產業處於利用階段的計劃比例相似，約佔所有計劃的四分之一，每個產業大約需要 13 個月才能達到此階段。物聯網很可能繼續成為各行各業優先採用的技術。

預計 BFSI 部門將佔據市場的大部分佔有率

  • 在網際網路、行動裝置和應用程式興起的推動下，當今的金融機構面臨著不斷變化的客戶需求、日益激烈的競爭以及在高度動態的市場中嚴格治理和風險管理的需求。在這種背景下，商業智慧解決方案使金融機構能夠分析大量客戶資料，深入了解客戶的銀行需求和情緒，有助於改善產品和服務。
  • BFSI 是一個資料主導的產業，透過 ATM 交易、現金交易、開戶、網路銀行、網路購物等產生大量資料。提供客製化和以客戶為中心的服務和提案的需求正在推動 BFSI 行業對分析的需求。此外，BI也為銀行和其他金融機構提供靈活透明的方法，以便更好地進行財務業務和決策。
  • 人工智慧主導的商業智慧軟體為金融機構（包括銀行和投資公司）創造價值的主要方式有兩種。報告和預測分析。
  • 例如，SAS Visual Analytics 聲稱結合使用預測分析和自然語言處理來幫助銀行為主要員工提供自助服務分析和互動式報告。對於銀行來說，這種分析和報告可能與客戶購買模式、貸款支付或客戶體驗有關。此類軟體應用程式可協助 BFSI 機構制定獲取客戶的策略並找到那些不太可能違約的客戶。
  • 透過自動化填寫電子表格的過程，商業智慧平台有助於近乎即時地提供全面的商業財務指標，大大減少資料收集和決策之間的延遲。透過更快的資料分析獲得的見解可以帶來潛在的節約並進一步提高業務效率。
  • 根據英格蘭銀行的定義，多銀行金融機構（MFI）是指所有獲准在英國吸收存款的銀行和建築協會。截至今年5月，英國共有357家小額信貸機構開展營運，其中130家總部位於英國。如此龐大的銀行數量為新興銀行提供了開發新產品和搶佔市場佔有率的機會。

英國商業智慧產業概況

由於許多中小型企業與大公司競爭，英國商業智慧市場集中度適中。大公司佔有不成比例的市場佔有率，並透過創新為新進入者帶來激烈的競爭。市場的主要企業包括 SAS Institute Inc.、微軟公司等。近期市場發展趨勢如下：

  • 2022 年 11 月：IBM 發布了商業智慧(BI) 和分析套件 Business Analytics Enterprise。新套件包括一個新的分析內容中心以及帶有 Watson 的 Planning Analytics 和帶有 Watson 的 Cognos Analytics 的更新版本，為跨多個部門的預算、報告和預測資料提供商業智慧工具。
  • 2022 年 10 月： Oracle在其廣泛的資料和分析解決方案組合中推出了一系列新產品，以幫助客戶做出更快、更好的決策。 Oracle Fusion Analytics 中涵蓋 CX、ERP、HCM 和 SCM 分析的新功能現在為決策者提供了一個預先建立的庫，其中包含 2,000 多個最佳實踐 KPI、儀表板和報告，以監控策略目標的績效。最近的 Oracle Analytics Cloud (OAC) 計畫旨在透過減少對 IT 的依賴來提高業務用戶的工作效率，同時受益於 IT 開發的、精選的資料資產（包括集中式語義模型）。

其他福利：

  • Excel 格式的市場預測 (ME) 表
  • 3 個月的分析師支持

目錄

第 1 章 簡介

  • 研究假設和市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

  • 市場概況
  • 產業價值鏈分析
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 消費者議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手之間的競爭強度
  • COVID-19 市場影響評估
    • 短期和中期影響將因最終用戶公司而異
    • 中小企業的採用率短期內將會下降
    • 地理空間 BI 的成長將以現有模型為基礎
    • 提高 BI 在資料傳播方面的採用率
    • 隨著情緒分析在輔助決策流程中變得越來越重要，社交 BI 的採用率也上升
    • 英國在歐洲 BI 市場的地位

第5章 市場動態

  • 市場促進因素
    • 英國擴大採用物聯網技術和先進的分析工具
    • 雲端運算的遷移使小型企業能夠利用資料來支援決策流程。
  • 市場挑戰
    • 英國政府推動商業智慧應用的主要舉措
  • 市場機會
    • GDPR 對英國BI 產業的影響（將涵蓋資料最小化和隱私等趨勢）
    • 英國BI 生態系統分析的現況（主要研究機構、學術計畫和公共部門合作）

第6章 市場細分

  • 按組織規模
    • 小型和中型
    • 大規模
  • 按最終用戶產業
    • BFSI
    • 資訊科技/通訊
    • 零售和消費品
    • 製造和物流
    • 公共服務
    • 其他最終用戶產業

第7章 競爭格局

  • 公司簡介
    • Microsoft Corporation
    • SAP SE
    • Tableau Software
    • IBM Corporation
    • SAS SE
    • Oracle Corporation
    • Tibco Software

第8章投資分析

第9章：未來市場展望

簡介目錄
Product Code: 71291

The United Kingdom Business Intelligence Market is expected to register a CAGR of 9.2% during the forecast period.

United Kingdom Business Intelligence - Market - IMG1

Key Highlights

  • The UK government signed a new three-year memorandum of understanding (MOU) with Microsoft to help public sector organizations use and benefit from cloud computing and business applications. According to Microsoft, the new MOU is called the Digital Transformation Arrangement 2021 (DTA21), which allows all eligible public sector organizations to benefit from discounts and beneficial terms for Microsoft 365, Azure, Dynamics 365, and Power Platform cloud services.
  • Industry-specific analytics and business intelligence enable companies in the united kingdom region to discover detailed sales trends based on their customers' preferences, reactions to promotions, purchasing habits, online shopping experiences, and patterns and trends which affect sales. Utilizing customer buying habits permits a company to decide how to retain valuable customers and take significant advantage of missed sales opportunities.
  • By drilling down to such comprehensive insights, a company in the region could decide which link-sell opportunities to increase or which products are best for cross-selling. By identification of customers in decline, a business could determine the best plan to reposition the product before they stop buying altogether. Sales managers can identify the best type of customers, where to find them, and determine the most effective acquisition and conversion strategies.
  • The COVID-19 pandemic considerably slowed down AI investments for most enterprises. Although AI is still one of the critical technology areas, organizations require an efficient way to scale their AI practices and use AI in business to accelerate ROI in AI investment. As organizations face more significant pressure to optimize their workflows, more companies will ask BI teams to manage and develop AI/ML models. The two critical factors that will drive this boost of a new BI-based AI developer class: First, enabling BI teams with tools such as automation platforms is more scalable and more sustainable than hiring dedicated data scientists; second, because BI teams are significantly closer to the business use-cases compared to data scientists, the lifecycle from the working model's requirement will be accelerated.
  • Enterprises often turn their business analysts into BI and analytics experts. The company benefits by converting a lower-salaried employee into a high-demand and highly sought-after skill. However, this is often done without a substantial salary increase. Increased pay for analytics and BI professionals would help raise skill levels because employees realize a considerable financial reward for any extra effort to improve their skills.

UK Business Intelligence Market Trends

Growing adoption of IoT-enabled technologies and Advanced Analytics tools in the UK

  • Analytics and BI will allow businesses to drill down to individual transactions to get answers to revenue opportunities and cost concerns. By examining the incoming and outgoing finances of the present and past, a business can make decisions based on its future financial status. Breaking down revenue by location calculates the strength of product lines by branch. For instance, an enterprise could remove a speciality item from one place and increase its promotion in another. Customizing the dashboard allows enterprise executives to track key performance indicators (KPIs) to enable effective financial management and oversight.
  • Additionally, BI data includes historical information stored in a data warehouse and new data collected from various internal and external sources, enabling BI tools to support strategic and tactical decision-making processes. The use of BI inefficient decision-making is augmenting its use across industries. However, BI and analytics provide substantial support to operational decision-makers. But critical decisions are more complex and broader than operational decisions; they require more general information, expert judgments, and creativity to make sense of situations and define alternative courses of action.
  • In December this year, Sayari, a commercial risk intelligence firm, was recently selected by the United Kingdom Crown Commercial Service (CCS) as a supplier for the G-Cloud 13 Framework, a contract between the government and cloud-based service providers. The collaboration allows ministries such as the National Crime Agency (NCA), the Ministry of Defence (MOD), HM Revenue & Customs, the Serious Fraud Office, HM Treasury, and others to speed the adoption of Sayari's commercial risk intelligence platform. Teams of government analysts and investigators will have fast access to the difficult-to-find connections required to close information gaps.
  • In December last year, Serios Group agreed to be the preferred UK analytics partner of Australian IoT supplier Urban.io, allowing businesses across the UK to decrease costs, develop efficiencies, and improve their sustainability. According to the Newcastle-based data analytics and testing solutions expert, actionable data is revolutionizing the way modern organizations work - and is assisting firms in recouping income lost during the pandemic.
  • According to the Microsoft IoT report of the last year, 25% of projects are in the UK's usage phase, and 91% of IoT adopters. Microsoft conducted a study of businesses in all four industries, and the vast majority of them identified as IoT adopters. All sectors have a comparable percentage of projects in the use stage, representing about a quarter of all projects, and all industries require about 13 months to reach this point. IoT will continue to be prioritized across sectors.

BFSI Segment is Expected to Hold a Significant Share of the Market

  • Owing to the internet and the proliferation of mobile devices and apps, financial institutions today face changing client demands, mounting competition, and the need for strict control and risk management in a highly dynamic market. In such scenarios, business intelligence solutions enable financial organizations to analyze immense amounts of customer data to gain insights about their customer's needs and sentiments regarding banking that can be used to improve products and services.
  • BFSI is a data-driven industry with massive data generated through ATM transactions, cash transactions, account opening, internet banking, online shopping, and others. The need to deliver customized and customer-centric services and offers are driving the demand for analytics in the BFSI industry. Moreover, BI offers banking and other financial institutions a flexible and transparent approach to making better financial operations and decisions.
  • Predominantly, there are two ways in which AI-driven business intelligence software could bring value to banks and financial institutions, including investment firms. These include report generation and predictive analytics.
  • For instance, SAS Visual Analytics claims to help banks provide their lead staff with self-service analytics and interactive reports using a combination of predictive analytics and natural language processing. For banks, this analysis and reporting are related to customer buying patterns, loan payments, or customer experience. Such software applications can help BFSI institutions develop strategies for gaining customers or finding customers less likely to default on loans.
  • A business intelligence platform can help automate the process of filling up spreadsheets, thus providing comprehensive business financial metrics in near-real-time and significantly shortening the delay between data collection and decision-making. The insights uncovered through quicker data analysis can lead to potential savings and even more operational efficiency gains.
  • According Bank of England, Monetary Financial Institutions (MFI) are all banks and building societies in the United Kingdom that are permitted to accept deposits. As of May this year, 357 MFIs are operating in the United Kingdom, with 130 of them headquartered in the United Kingdom. Such a huge number of banks in operation would create an opportunity for the studied market players to develop new products and capture the market share.

UK Business Intelligence Industry Overview

The United Kingdom's business intelligence market concentration is medium due to the presence of many small and medium-sized companies competing with each other and with large enterprises. Large enterprises hold a prominent market share and give tuff competition to the new entrance players through innovations. Some key players in the market include SAS Institute Inc., Microsoft Corp., etc. Recent developments in the market are -

  • November 2022: IBM released Business Analytics Enterprise, a business intelligence (BI) and analytics suite that it claims is meant to assist enterprises in breaking down data silos and hurdles to cooperation imposed by using disparate sets of analytics tools across different divisions. The new suite, which includes a new Analytics Content Hub and updated versions of Planning Analytics with Watson and Cognos Analytics with Watson, offers business intelligence tools for budgeting, reporting, and forecasting data across many divisions.
  • October 2022: Oracle introduced a variety of new product advancements across its broad array of data and analytics solutions to help clients make faster, better decisions. Decision-makers now have a prebuilt library of more than 2,000 best-practice KPIs, dashboards, and reports to monitor performance against strategic goals, due to new capabilities in Oracle Fusion Analytics spanning CX, ERP, HCM, and SCM analytics. The most recent Oracle Analytics Cloud (OAC) improvements are intended to increase business users' productivity by reducing their dependency on IT while still benefiting from curated data assets developed by IT, such as the centralized semantic model.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Value Chain Analysis
  • 4.3 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.3.1 Bargaining Power of Suppliers
    • 4.3.2 Bargaining Power of Consumers
    • 4.3.3 Threat of New Entrants
    • 4.3.4 Threat of Substitute Products
    • 4.3.5 Intensity of Competitive Rivalry
  • 4.4 Assessment of the Impact of COVID-19 on the Market
    • 4.4.1 Near and medium-term impact to vary across end-user organizations
    • 4.4.2 SME adoption to witness a decline in the near-term
    • 4.4.3 Growth in Geo-spatial BI to build on the current models
    • 4.4.4 Higher adoption of BI adoption for data dissemination
    • 4.4.5 Social BI to witness higher adoption as organizations increasingly focus on sentiment analysis to aid decision making process
    • 4.4.6 Current Positioning of the United Kingdom in the Europe BI Market

5 Market Dynamics

  • 5.1 Market Drivers
    • 5.1.1 Growing adoption of IoT-enabled technologies and Advanced Analytics tools in the UK
    • 5.1.2 Migration to the cloud has enabled SME's to leverage data to support their decision-making process
  • 5.2 Market Challenges
    • 5.2.1 Key initiatives undertaken by the UK government to promote BI adoption
  • 5.3 Market Opportunities
    • 5.3.1 Impact of GDPR on the BI Industry in the UK (Trends such as Data Minimization and Privacy to be covered)
    • 5.3.2 Current BI Ecosystem Analysis Landscape in the UK (Major research institutes, academic programs, and collaborations with public agencies)

6 MARKET SEGMENTATION

  • 6.1 By Organization Size
    • 6.1.1 Small & Medium-Scale
    • 6.1.2 Large-Scale
  • 6.2 By End-user Vertical
    • 6.2.1 BFSI
    • 6.2.2 IT & Telecom
    • 6.2.3 Retail & Consumer Goods
    • 6.2.4 Manufacturing & Logistics
    • 6.2.5 Public Services
    • 6.2.6 Other End-user verticals

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Microsoft Corporation
    • 7.1.2 SAP SE
    • 7.1.3 Tableau Software
    • 7.1.4 IBM Corporation
    • 7.1.5 SAS SE
    • 7.1.6 Oracle Corporation
    • 7.1.7 Tibco Software

8 INVESTMENT ANALYSIS

9 FUTURE OUTLOOK OF THE MARKET