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ビッグデータエンジニアリングサービス市場-成長、動向、予測(2020年~2025年)

Big Data Engineering Services Market - Growth, Trends, Forecasts (2020-2025)

出版日: | 発行: Mordor Intelligence LLP | ページ情報: 英文 120 Pages | 納期: 2-3営業日

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ビッグデータエンジニアリングサービス市場-成長、動向、予測(2020年~2025年)
出版日: 2020年08月01日
発行: Mordor Intelligence LLP
ページ情報: 英文 120 Pages
納期: 2-3営業日
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  • 概要
  • 目次
概要

世界のビッグデータエンジニアリングサービスの市場規模は、予測期間にわたって16.3%のCAGRで成長すると予想されています。技術ツールの進化により、ソリューションをサービスとして提供できるようになりました。このため、サービスとしてのソフトウェア(SaaS)、サービスとしてのプラットフォーム(PaaS)、およびサービスとしてのデータ(DaaS)は、ビッグデータベンダーの潜在的な成長機会として浮上しています。

  • さらに、主にコンシューマライゼーションの増加、競合、およびデータの急増によって市場は推進されています。異種データの複雑さとスケーラビリティは、従来の分析およびデータベーステクノロジーに課題をもたらします。
  • BDaaSは、これらのツールを組み合わせて大規模なデータセットに適用することにより、大小の組織が今日のビッグデータの需要に費用効果の高い方法で対応できるようにします。
  • また、市場を分析し、人間の介入なしに数ミリ秒で取引を実行する高頻度取引プラットフォーム(HFT)などの完全に自動化された取引システムの出現により、ストリーミング分析の台頭が可能になっています。たとえば、Amazon Kinesis、Kafka、Flinkなどのプラットフォームは、リアルタイムデータの高スループットでフォールトトレラントな処理を可能にします。
  • COVID-19の危機が製造業に大きな影響を及ぼしているため、既存の企業サプライヤーのほとんどが課題を抱えている可能性があります。政府の保健部門や民間の医療機器プロバイダーのどちらも、COVID-19に対抗するための主要な安全装置の需要の急増に対応するのに苦労しています。

当レポートでは、ビッグデータエンジニアリングサービス市場を調査し、市場概要、市場の成長要因および阻害要因の分析、タイプ別・地域別の市場規模の推移と予測、競合情勢、主要企業のプロファイル、市場機会など、包括的な情報を提供しています。

目次

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場力学

  • 市場概要
  • 市場の推進力
    • 相互接続されたデバイスとソーシャルメディアの驚異的な成長別非構造化データの量の増加
    • データサービス企業が提供する費用対効果の高いサービスと最先端の専門知識
  • 市場の抑制要因
    • サービスプロバイダーがリアルタイムの洞察を提供できない
  • ポーターズファイブフォース分析
    • 新規参入業者の脅威
    • 買い手の交渉力/消費者の交渉力
    • 供給企業の交渉力
    • 代替製品の脅威
    • 競争企業間の敵対関係
  • COVID-19の市場への影響に関する評価

第5章 新興技術の動向

第6章 市場セグメンテーション

  • タイプ別
    • データモデリング
    • データ統合
    • データ品質
    • 分析
  • 事業機能別
    • マーケティングと販売
    • ファイナンス
    • オペレーション
    • 人的資源
  • 組織規模別
    • 中小企業
    • 大企業
  • 展開タイプ別
    • クラウド
    • オンプレミス
  • エンドユーザー業界別
    • BFSI
    • 政府
    • メディアと電気通信
    • 小売
    • 製造
    • ヘルスケア
    • その他のエンドユーザーの業種
  • 地域別
    • 北米
    • 欧州
    • アジア太平洋
    • ラテンアメリカ
    • 中東とアフリカ

第7章 競合情勢

  • 企業プロファイル*
    • Accenture PLC
    • Genpact Inc.
    • Cognizant Technology Solutions Corporation
    • Infosys Limited
    • Capgemini SE
    • NTT Data Inc.
    • Mphasis Limited
    • L&T Technology Services
    • Hexaware Technologies Inc.
    • KPMG LLP
    • Ernst & Young LLP
    • Latentview Analytics Corporation

第8章 投資分析

第9章 市場機会と動向

目次
Product Code: 71352

The big data engineering services market is expected to witness a growth at a CAGR of 16.3% over the forecast period (2020-2025). The evolution of technological tools has enabled solutions to be delivered as a service. Owing to this, Software as a Service (SaaS), Platform as a Service (PaaS), and Data as a Service (DaaS) have emerged as potential growth opportunities for Big Data vendors. ​

  • Moreover, most of the businesses are primarily driven by increased consumerization, competition, and data explosion. Complexity and scalability of disparate data pose a challenge for the traditional analytics and database technologies. Real-time processing of big data, using the cloud as an enabler, has become the norm. Disruptive technologies that underpin SMAC (social, mobile, analytics, and cloud) are driving new business scenarios, which make the best use of data.​
  • BDaaS has taken things to a whole new level, by combining these tools and applying them to massively large data sets, in order to help large and small organizations meet today's Big Data demands in a cost-effective manner.
  • Also, with the emergence of fully automated trading systems such as high-frequency trading platforms (HFT) that analyze market and execute trades in a matter of milliseconds without any human intervention is enabling the rise of streaming analytics. For instance, platforms such as Amazon Kinesis, Kafka, Flink enable high-throughput and fault-tolerant processing of real-time data.
  • Software companies are currently increasing their focus on in-demand technologies and re exploring innovative ways to service their clients as the covid-19 crisis is creating challenges across multiple industries and is leading to a reduction in technology spending.​
  • With COVID-19 crisis having a major impact in the manufacturing industry, it is likely that most of the existing company suppliers are having challenges to fulfil the urgent requirements. From government health departments to private medical device providers, both are struggling to fulfil the sudden surge in demand for key safety gears to counter COVID-19.

Key Market Trends

Big Data Analytics in Banking is Expected to Grow Significantly

  • As technology is advancing, the number of devices that consumers use to initiate transactions is also increasing (such as smartphones), making the number of transactions increase. This rapid growth in data requires better acquisition, organization, integration, and analysis. ​
  • Considering the regional analysis of government regulations, the government's approach in every region varies in intensity. The European banks are taking stronger regulatory approaches than their Asian counterparts. For instance, in Europe, regulations have been significant catalysts for the rise of open banking. These include Europe's implementation of its Second Payment Services Directive (PSD2) and the UK Competition and Markets Authority's (CMA) Open Banking regulation. ​
  • According to Open Banking Implementation Entity (OBIE), API calls increased from one million a month in May 2018, to more than 66.7 million in June 2019. (PSD2 mandates that banks create APIs (vehicles for bundling and sharing discrete data sets between organizations) for digital banking transactions.
  • Danske Bank is the largest bank in Denmark, with a customer base of more than 5 million. It utilizes its in-house advanced analytics to identify fraud while reducing false positives. Thus, after implementing a modern enterprise analytics solution, the bank realized a 60% reduction in false positives, which increased true positives by 50%.​

Asia Pacific to Hold Major Market Share

  • The Asia Pacific region is expected to hold a significant market owing due to the increasing rate of internet, smartphone generation, and ever-growing urbanization development in machine learning, algorithm development, and the need for customer and behavioral analytics.​For instance, as per Xinhuanet, China has 854 million internet users currently. The volume of data and users offers significant advantages, such as more data powers, more accurate predictive models, and more productive analysis. It also supports more advanced machine learning and more profound learning techniques.
  • The potential for Big Data to revolutionize the country is massive. China has one of the world's largest and most valuable consumer market. It is already the world's workshop, producing many goods for export. Big Data engineering services is expected to provide opportunities for the enormous Chinese consumer market, and it is likely to assist Chinese firms looking to engage in high-value economic activities.​ For instance, As per the Ministry of Industry and Information Technology, China's Big Data sector aims to increase its annual sales to CNY 1 trillion by 2020, from an estimated CNY 280 billion in 2015.
  • Also, within the emerging economies such as India, global technology vendors are leveraging partnerships and collaboration with local vendors as a competitive strategy to counter the growing demand for digital analytics and enterprise-scale AI solutions and services across the region. For instance, In May 2020, Accenture plc announced the acquisition of Byte Prophecy, a big data analytics company. The company aims to deliver emerging client needs with speed and scale and enhance its portfolio of technologies to help its client across its AI markets.
  • Additionally, companies in the region embrace cloud adoption by shifting their IT operations out of their data center and into the cloud. It is expected to further leverage the adoption of big data engineering services as companies in the region demand reduced costs and greater flexibility.

Competitive Landscape

The Big Data Engineering Services Market is moderately fragmented and holds the potential to shift rivalry by opening up new avenues for differentiation and value-added services. Thereby, few prominent vendors including Accenture Plc, Capgemini SE in the market are leveraging acquisitions and investments into new startups and technologies to capture the intelligence market and leverage their service offerings

  • April 2020: Capgemini SE announced the acquisition of Advectas AB, a business intelligence and data science company based in Sweden. Advectas is integrated into the company's insights and data business unit, as the company aims to leverage the growing client demand for data analytics services. Further, going forward the company expects ongoing growth of 4% for 2020 and aims its focus in expanding into the intelligence industry market.
  • March 2020: Infosys Limited reported an investment of USD 4.5 million into US-based startup Waterline Data Science through its innovation funds. The startup offers data governance and data discovery software and also provides business analysts and data scientists a self-service data catalog to help understand the data.

Reasons to Purchase this report:

  • 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 DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increasing Volume of Unstructured Data, Due to the Phenomenal Growth of Interconnected Devices and Social Media
    • 4.2.2 Cost-Effective Services and Cutting-Edge Expertise Rendered By Data Servicing Companies
  • 4.3 Market Restraints
    • 4.3.1 Inability of Service Providers to Provide Real-Time Insights
  • 4.4 Porters FIve Force Analysis
    • 4.4.1 Threat of New Entrants
    • 4.4.2 Bargaining Power of Buyers/Consumers
    • 4.4.3 Bargaining Power of Suppliers
    • 4.4.4 Threat of Substitute Products
    • 4.4.5 Intensity of Competitive Rivalry
  • 4.5 Assessment on the Impact of COVID-19 on the market

5 EMERGING TECHNOLOGY TRENDS

6 MARKET SEGMENTATION

  • 6.1 By Type**
    • 6.1.1 Data Modelling
    • 6.1.2 Data Integration
    • 6.1.3 Data Quality
    • 6.1.4 Analytics
  • 6.2 By Business Function
    • 6.2.1 Marketing and Sales
    • 6.2.2 Finance
    • 6.2.3 Operations
    • 6.2.4 Human Resource
  • 6.3 By Organization Size
    • 6.3.1 Small and Medium Enterprizes
    • 6.3.2 Large Enterprises
  • 6.4 By Deployement Type
    • 6.4.1 Cloud
    • 6.4.2 On-Premise
  • 6.5 By End-user Industry
    • 6.5.1 BFSI
    • 6.5.2 Government
    • 6.5.3 Media and Telecommunication
    • 6.5.4 Retail
    • 6.5.5 Manufacturing
    • 6.5.6 Healthcare
    • 6.5.7 Other End-user Verticals
  • 6.6 Geography
    • 6.6.1 North America
    • 6.6.2 Europe
    • 6.6.3 Asia-Pacific
    • 6.6.4 Latin America
    • 6.6.5 Middle East & Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles*
    • 7.1.1 Accenture PLC
    • 7.1.2 Genpact Inc.
    • 7.1.3 Cognizant Technology Solutions Corporation
    • 7.1.4 Infosys Limited
    • 7.1.5 Capgemini SE
    • 7.1.6 NTT Data Inc.
    • 7.1.7 Mphasis Limited
    • 7.1.8 L&T Technology Services
    • 7.1.9 Hexaware Technologies Inc.
    • 7.1.10 KPMG LLP
    • 7.1.11 Ernst & Young LLP
    • 7.1.12 Latentview Analytics Corporation

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS

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