ビッグデータの世界市場予測（～2028年）：導入モデル、タイプ、コンポーネント、エンドユーザー、地域別の分析

世界のビッグデータの市場規模は、2022年に971億8,000万米ドルとなり、予測期間中に15.0％のCAGRで拡大し、2028年までに2,247億9,000万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ビッグデータ市場を調査し、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。

目次

第1章 エグゼクティブサマリー

第2章 序文

第3章 市場動向分析

• 促進要因
• 抑制要因
• 機会
• 脅威
• エンドユーザー分析
• 新興市場
• COVID-19の影響

第4章 ポーターのファイブフォース分析

第5章 世界のビッグデータ市場：導入モデル別

オンプレミス

クラウド

• パブリッククラウド
• プライベートクラウド
• ハイブリッドクラウド

第6章 世界のビッグデータ市場：タイプ別

• 半構造化データ
• 非構造化データ
• 構造化データ

第7章 世界のビッグデータ市場：コンポーネント別

ソリューション

• ビッグデータ分析
• データ発見
• データ可視化
• データ管理

サービス

• マネージドサービス
• プロフェッショナルサービス

第8章 世界のビッグデータ市場：エンドユーザー別

• 学術と研究
• ITと通信
• 交通
• エネルギーとユーティリティ
• メディアとエンターテイメント
• 小売と消費財
• 製造業
• ヘルスケアとライフサイエンス
• 政府と防衛
• 銀行、金融サービス、保険
• その他

第9章 世界のビッグデータ市場：事業機能別

• マーケティングと販売
• オペレーション
• 人的資源
• 財務

第10章 世界のビッグデータ市場：組織規模別

• 中小企業
• 大企業

第11章 世界のビッグデータ市場：地域別

• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • イタリア
  • フランス
  • スペイン
  • その他欧州
• アジア太平洋地域
  • 日本
  • 中国
  • インド
  • オーストラリア
  • ニュージーランド
  • 韓国
  • その他アジア太平洋地域
• 南米
  • アルゼンチン
  • ブラジル
  • チリ
  • その他南米
• 中東とアフリカ
  • サウジアラビア
  • アラブ首長国連邦
  • カタール
  • 南アフリカ
  • その他中東とアフリカ

第12章 主な発展

• 契約、パートナーシップ、コラボレーション、合弁事業
• 買収と合併
• 新製品の発売
• 拡張
• その他の主な戦略

第13章 企業プロファイル

• International Business Machines (IBM) Corporation
• Oracle Corporation
• Microsoft Corporation
• Hewlett-Packard Enterprise
• SAP SE
• Amazon Web Services
• SAS Institute
• Dell, Inc.
• Teradata Corporation
• Splunk
• Palantir Technologies, Inc
• Guavus, Inc.
• Hitachi, Ltd
• Cloudera, Inc.
• Hortonworks, Inc.（米国）
• Google Inc.（米国）
• Accenture plc
• Fujitsu（日本）
• Datameer, Inc.（米国）
• Actian

List of Tables

• Table 1 Global Big Data Market Outlook, By Region (2020-2028) ($MN)
• Table 2 Global Big Data Market Outlook, By Deployment Model (2020-2028) ($MN)
• Table 3 Global Big Data Market Outlook, By On-Premises (2020-2028) ($MN)
• Table 4 Global Big Data Market Outlook, By Cloud (2020-2028) ($MN)
• Table 5 Global Big Data Market Outlook, By Public Cloud (2020-2028) ($MN)
• Table 6 Global Big Data Market Outlook, By Private Cloud (2020-2028) ($MN)
• Table 7 Global Big Data Market Outlook, By Hybrid Cloud (2020-2028) ($MN)
• Table 8 Global Big Data Market Outlook, By Type (2020-2028) ($MN)
• Table 9 Global Big Data Market Outlook, By Semi-Structured Data (2020-2028) ($MN)
• Table 10 Global Big Data Market Outlook, By Unstructured Data (2020-2028) ($MN)
• Table 11 Global Big Data Market Outlook, By Structured Data (2020-2028) ($MN)
• Table 12 Global Big Data Market Outlook, By Component (2020-2028) ($MN)
• Table 13 Global Big Data Market Outlook, By Solution (2020-2028) ($MN)
• Table 14 Global Big Data Market Outlook, By Big Data Analytics (2020-2028) ($MN)
• Table 15 Global Big Data Market Outlook, By Data Discovery (2020-2028) ($MN)
• Table 16 Global Big Data Market Outlook, By Data Visualization (2020-2028) ($MN)
• Table 17 Global Big Data Market Outlook, By Data Management (2020-2028) ($MN)
• Table 18 Global Big Data Market Outlook, By Services (2020-2028) ($MN)
• Table 19 Global Big Data Market Outlook, By Managed Services (2020-2028) ($MN)
• Table 20 Global Big Data Market Outlook, By Professional Services (2020-2028) ($MN)
• Table 21 Global Big Data Market Outlook, By End User (2020-2028) ($MN)
• Table 22 Global Big Data Market Outlook, By Academia and Research (2020-2028) ($MN)
• Table 23 Global Big Data Market Outlook, By IT and Telecommunication (2020-2028) ($MN)
• Table 24 Global Big Data Market Outlook, By Transportation (2020-2028) ($MN)
• Table 25 Global Big Data Market Outlook, By Energy and Utility (2020-2028) ($MN)
• Table 26 Global Big Data Market Outlook, By Media and Entertainment (2020-2028) ($MN)
• Table 27 Global Big Data Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
• Table 28 Global Big Data Market Outlook, By Manufacturing (2020-2028) ($MN)
• Table 29 Global Big Data Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
• Table 30 Global Big Data Market Outlook, By Government and Defense (2020-2028) ($MN)
• Table 31 Global Big Data Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
• Table 32 Global Big Data Market Outlook, By Other End Users (2020-2028) ($MN)
• Table 33 Global Big Data Market Outlook, By Business Function (2020-2028) ($MN)
• Table 34 Global Big Data Market Outlook, By Marketing And Sales (2020-2028) ($MN)
• Table 35 Global Big Data Market Outlook, By Operations (2020-2028) ($MN)
• Table 36 Global Big Data Market Outlook, By Human Resources (2020-2028) ($MN)
• Table 37 Global Big Data Market Outlook, By Finance (2020-2028) ($MN)
• Table 38 Global Big Data Market Outlook, By Organization Size (2020-2028) ($MN)
• Table 39 Global Big Data Market Outlook, By Small And Medium-Sized Enterprises (2020-2028) ($MN)
• Table 40 Global Big Data Market Outlook, By Large Enterprises (2020-2028) ($MN)

NOTE: Tables for North America, Europe, Asia Pacific, South America and Middle East & Africa are represented in the same manner above.

According to Stratistics MRC, the Global Big Data Market is accounted for $97.18 billion in 2022 and is expected to reach $224.79 billion by 2028 growing at a CAGR of 15.0% during the forecast period. Big data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems. Big data solutions enable organizations to effectively manage large data volumes thereby reducing cost. It is initially emerged as a term to describe datasets whose size is beyond the ability of usual databases to capture, store, manage and analyze.

In 2021, Apache Hadoop led the global big data processing industry as the top technology with a market share of 18.79 percent. Other noteworthy technologies in the big data processing sector included Apache Kafka and Apache Apex with 12.78 and 7.36 percent of the market, respectively. According to a recent survey, around 19 percent of respondents indicated having established a data culture in their organization. On the other hand, there are approximately 56 percent of respondents that reported driving business innovation with data.

Market Dynamics:

Driver:

Rising Internet Penetration

The implementation of cloud computing has eased the storage space of data, making it more cost effective, flexible, and secure. Reasonable storage services and rapid technological services have improved the ease of access of the internet and data has increased the demand for big data. The emergence and adoption of Internet of Things are also approaching the market forward. Managing vast volumes of data and extracting value and business insights from the same is pushing business in unprecedented ways. Investing in research and development such as Face book is boosting the demand for big data. The market for big data is expected to grow at a fast rate in rising economies in the forecast period.

Restraint:

Shortage of skilled professionals

The shortage of skilled professionals is a major aspect hindering the market. Developing hardware, software and system addition need trained and specialized resources to handle data preparation, create predictive models, and integrate these into applications. The resources are either unavailable or too luxurious to take into service, which stifle the growth of the big data market. However, the lack of a skilled workforce to occupy the job vacancies restrains market growth.

Opportunity:

Exponential Growth in Data Availability

Due to the increase in the attractiveness of social media, the Internet of Things (IoT), that have been produced in an excessive flow of data, the volume of data gathered by enterprises is continuously increasing. The expansion of data creation has been exponential in the past few years, especially after the wide proliferation of smart phones and social media. Machine data is growing at a much quicker rate than human data. Big data is predominantly consumer-driven and oriented; most of the data in the world is created by customers. Typically, people spend a enormous section of each day using a range of gadgets and social applications to consume and generate data.

Threat:

Concerns Regarding Data Privacy

The biggest threat with Big Data is the susceptible issue of data privacy and security, which most of the organizations are facing. Privacy concerns are cropping up as companies nourish more and more consumer and vendor data into advanced, to affected consumers and employees. This is especially prevalent in smart city sector where an important amount of consumer data is present and where consumer data collection has been at the forefront in terms of big data challenges. These data privacy concerns threaten the adoption of Big Data in Smart Cities solutions.

COVID-19 Impact

The COVID-19 pandemic displayed a major impact on this market. Artificial Intelligence technology is being executed in asset management, inventory management, predictive maintenance, network manufacturing, real-time alerts, and more to magnify the growth of the production sector during challenging business conditions. In healthcare, the adoption of AI-driven advanced reporting, healthcare business intelligence, electronic medical records, and others drives the growth of the market. Similarly, organizations of a variety of sectors shifted to remote work and implemented advanced analytics to understand the new trends during the pandemic.

The software segment is expected to be the largest during the forecast period

The software segment holds the largest share, owing to its huge explanation offerings such as credit risk management, business intelligence solutions, CRM analytics, compliance analytics, workforce analytics etc. Organizations shifting to digital platforms are adopting business intelligence solutions, customer relationship management, and workforce analytics. These solutions hold up businesses with real-time insights, foresight, and visualization that provide advanced decision-making capabilities. Organizations are increasingly adopting these solutions owing to the growing need to make fact-based strategic business decisions in an attempt to reduce the risk of failure and excel in this highly competitive environment.

The BFSI segment is expected to have the highest CAGR during the forecast period.

The BFSI segment holds the highest share, owing to its huge implementation of big data analytics is serving the Banking industry to get hold of, and retain customers efficiently. Predictive analytics, relationship management, and brand reputation are the major emerging application areas. Companies invest heavily in these solutions for effective data traffic management and operational optimization.

Region with highest share:

North America holds a highest share of the market and will go on to do so, among regional markets for big data. North America experiences quick developments in the big data market, mainly due to the increasing adoption of allied services by major industrial sectors. Companies and organizations have started exploiting big data to produce strategies and business decisions to remain aggressive. This trend is increasingly being adopted by major players in the developing regions as well.

Region with highest CAGR:

Asia Pacific witnessed extraordinary CAGR throughout the forecast period due to the expansion of BFSI, retail, healthcare, automotive, and other industries. With crashing countries, the market's expansion potential is widespread in this region. The mounting social media platform, contact to the internet and smart phone, advancement in communication technologies, and digitalization are probable to boost the big data analytics market share in this region.

Key players in the market

Some of the key players profiled in the Big Data Market include International Business Machines (IBM) Corporation, Oracle Corporation, Microsoft Corporation, Hewlett-Packard Enterprise, SAP SE, Amazon Web Services, SAS Institute, Dell, Inc., Teradata Corporation, Splunk, Palantir Technologies, Inc, Guavus, Inc., Hitachi, Ltd, Cloudera, Inc., Hortonworks, Inc., Google Inc., Accenture plc, Fujitsu, Datameer, Inc., Actian.

Key Developments:

In May 2018, IBM announced that the company has launched new cloud service called Cloud Private Data that was designed for helping organizations to use machine learning and data science techniques.

In January 2020, SAS Institute's Intelligent Planning Suite solution infused Artificial Intelligence (AI) and cloud agility capabilities for enhancing customer experience. The multi-cloud solution would help retail IT executives to anticipate customer demand and enhance customer experience.

In August 2019, IBM announced the expansion of its global cloud footprint with the launch of IBM Cloud Multizone Region (MZR) in Latin America in 2020. This expansion will help clients to quickly deploy mission-critical workloads across hybrid cloud environments.

On 29 March 2022, Oracle announced that Oracle MySQL HeatWave now supports in-database machine learning in addition to the previously available transaction processing and analytics. MySQL HeatWave fully automates the machine learning lifecycle and stores all trained models inside the MySQL database, eliminating the need to move data or the model to a machine learning tool or service. Eliminating Extract, Transform, and Load (ETL) reduces application complexity, lowers cost, and improves security of both the data and the model.

In March 2022, SAP SE announced the availability of a new concept within the SAP signavio software that aggregates experience data obtained from end-user surveys (customer, supplier, or employee) with core IT systems. This will enable enterprises to enhance their end-to-end business processes and boost operational efficiency and customer experience.

Deployment Models Covered:

• On-Demand
• Cloud

Types Covered:

• Semi-Structured Data
• Unstructured Data
• Structured Data

Components Covered:

• Solution
• Services

End User Covered:

• Academia and Research
• IT and Telecommunication
• Transportation
• Energy and Utility
• Media and Entertainment
• Retail and Consumer Goods
• Manufacturing
• Healthcare and Life Sciences
• Government and Defense
• Banking, Financial Services and Insurance (BFSI)
• Other End Users

Business Function Covered:

• Marketing And Sales
• Operations
• Human Resources
• Finance

Organization Size Covered:

• Small And Medium-Sized Enterprises
• Large Enterprises

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 End User Analysis
• 3.7 Emerging Markets
• 3.8 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Big Data Market, By Deployment Model

• 5.1 Introduction

5.2 On-Premises

5.3 Cloud

• 5.3.1 Public Cloud
• 5.3.2 Private Cloud
• 5.3.3 Hybrid Cloud

6 Global Big Data Market, By Type

• 6.1 Introduction
• 6.2 Semi-Structured Data
• 6.3 Unstructured Data
• 6.4 Structured Data

7 Global Big Data Market, By Component

• 7.1 Introduction

7.2 Solution

• 7.2.1 Big Data Analytics
• 7.2.2 Data Discovery
• 7.2.3 Data Visualization
• 7.2.4 Data Management

7.3 Services

• 7.3.1 Managed Services
• 7.3.2 Professional Services
  • 7.3.2.1 Consulting
  • 7.3.2.2 Deployment and Integration
  • 7.3.2.3 Support and maintenance

8 Global Big Data Market, By End User

• 8.1 Introduction
• 8.2 Academia and Research
• 8.3 IT and Telecommunication
• 8.4 Transportation
• 8.5 Energy and Utility
• 8.6 Media and Entertainment
• 8.7 Retail and Consumer Goods
• 8.8 Manufacturing
• 8.9 Healthcare and Life Sciences
• 8.10 Government and Defense
• 8.11 Banking, Financial Services and Insurance (BFSI)
• 8.12 Other End Users

9 Global Big Data Market, By Business Function

9.1 Introduction

9.2 Marketing And Sales

9.3 Operations

9.4 Human Resources

9.5 Finance

10 Global Big Data Market, By Organization Size

10.1 Introduction

10.2 Small And Medium-Sized Enterprises

10.3 Large Enterprises

11 Global Big Data Market, By Geography

• 11.1 Introduction
• 11.2 North America
  • 11.2.1 US
  • 11.2.2 Canada
  • 11.2.3 Mexico
• 11.3 Europe
  • 11.3.1 Germany
  • 11.3.2 UK
  • 11.3.3 Italy
  • 11.3.4 France
  • 11.3.5 Spain
  • 11.3.6 Rest of Europe
• 11.4 Asia Pacific
  • 11.4.1 Japan
  • 11.4.2 China
  • 11.4.3 India
  • 11.4.4 Australia
  • 11.4.5 New Zealand
  • 11.4.6 South Korea
  • 11.4.7 Rest of Asia Pacific
• 11.5 South America
  • 11.5.1 Argentina
  • 11.5.2 Brazil
  • 11.5.3 Chile
  • 11.5.4 Rest of South America
• 11.6 Middle East & Africa
  • 11.6.1 Saudi Arabia
  • 11.6.2 UAE
  • 11.6.3 Qatar
  • 11.6.4 South Africa
  • 11.6.5 Rest of Middle East & Africa

12 Key Developments

• 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 12.2 Acquisitions & Mergers
• 12.3 New Product Launch
• 12.4 Expansions
• 12.5 Other Key Strategies

13 Company Profiling

• 13.1 International Business Machines (IBM) Corporation
• 13.2 Oracle Corporation
• 13.3 Microsoft Corporation
• 13.4 Hewlett-Packard Enterprise
• 13.5 SAP SE
• 13.6 Amazon Web Services
• 13.7 SAS Institute
• 13.8 Dell, Inc.
• 13.9 Teradata Corporation
• 13.10 Splunk
• 13.11 Palantir Technologies, Inc
• 13.12 Guavus, Inc.
• 13.13 Hitachi, Ltd
• 13.14 Cloudera, Inc.
• 13.15 Hortonworks, Inc. (USA)
• 13.16 Google Inc. (USA)
• 13.17 Accenture plc
• 13.18 Fujitsu (Japan)
• 13.19 Datameer, Inc. (USA)
• 13.20 Actian