調査レポートカテゴリー： MarketsandMarkets, 世界

Retail Analytics Market by Application (Merchandising Analysis, Customer Analysis, Performance Analysis), Business Function (Finance, Sales, Marketing, Supply Chain and Store Operations), Component, End-User, and Region - Global forecast to 2022

小売分析の世界市場予測（～2022年）

◆タイトル：Retail Analytics Market by Application (Merchandising Analysis, Customer Analysis, Performance Analysis), Business Function (Finance, Sales, Marketing, Supply Chain and Store Operations), Component, End-User, and Region - Global forecast to 2022
◆商品コード：MAM-TC2663
◆調査・発行会社：MarketsandMarkets
◆発行日：2017年8月14日
◆ページ数：169
◆レポート形式：PDF / 英語
◆納品方法：Eメール（受注後24時間以内）
◆調査対象地域：グローバル
◆産業分野：IT
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Single User（1名利用）	USD7,150 ⇒換算￥779,350	見積依頼/購入/質問フォーム
Multi User (Five User)	USD8,500 ⇒換算￥926,500	見積依頼/購入/質問フォーム
Corporate License (全社内共有可)	USD9,650 ⇒換算￥1,051,850	見積依頼/購入/質問フォーム

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【レポートの概要】

MarketsandMarketsが発行した当調査レポートでは、小売分析の世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、産業動向、アプリケーション別分析、業務機能別分析、構成要素別分析、需要先別分析、小売分析の世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。

The retail analytics market is expected to grow from USD 3.52 Billion in 2017 to USD 8.64 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 19.7%. Advancement in technologies, such as machine learning, Artificial Intelligence (AI), and augmented reality, and increased used of data-intensive platforms and rapid adoption of social media are some of the key drivers of this market.
The report provides detailed insights into the global retail analytics market, which is segmented on the basis of applications, business functions, components, deployment models, organization sizes, and regions. In the retail analytics market, the supply chain business function is expected to hold the largest market share during the forecast period. With the intense market competition and declining customer loyalty in the retail industry, supply chain plays a vital role in terms of revenue optimization. If a customer enters a retail store or logs-in into any eCommerce website and fails to find the product as per his requirement, it ultimately results in loss of revenue and can even lead to client loss. The key analytical software for supply chain in the retail sector is focused on inventory management, supply and demand forecasting, and vendor management among others.

Large enterprises have a high adoption rate as compared to the SMEs. Large size retailers have started investing in digital capabilities and analytic solutions to effectively compete and become better aligned with changing consumer preferences. The adoption of analytics solutions enables retailers to make quick and effective business decision based on real-time data.

The offline end-user is expected to have the largest market size during the forecast period. The emergence of real-time analytics is one of the drivers that trigger the adoption of retail analytics software. Vendors are deploying the software either on-premises or on-cloud to gain actionable insights on customers shopping behavior. Retail chains have deployed sensors and cameras to gain the understanding of the products that customers are more liable to buy. Moreover, the analytics is also being used to forecast demand analysis, proper inventory management, and to formulate a proper risk management process for the company. Retail stores are sub-segmented into supermarkets, department stores, specialty stores, and others which include convenience stores and kiosks.

The report covers all the major aspects of the retail analytics market and provides an in-depth analysis across the regions of North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. The market in North America is expected to hold the largest market share, whereas the APAC region is projected to provide significant opportunities in this market and expected to grow at the highest CAGR during the forecast period.

The deployment of retail analytics software is intensifying owing to the constant pressures that stem from the competitive environment the retail industry works in. The only way to gain a competitive edge in this market is to embrace the use of “big data” and qualitative data to maximize the engagement with consumers, and improve their shopping experience. As retail analytics technology is evolving, new paradigms are getting integrated such as machine learning and artificial intelligence which will be instrumental in improving customer shopping experience and help retailers to drive sales and increase customer loyalty significantly. The retail analytics market encompasses many players, such as International Business Machines Corporation, Microsoft Corporation, SAP SE, and SAS Institute Inc., who have adopted numerous growth strategies, such as mergers and acquisitions, new product launches, and business expansions to enhance their market share. The companies are increasingly deploying both organic as well as inorganic strategies to drive their growth in the growing retail analytics market. The North American region is touted as the largest adopter of retail analytics software and services. The unprecedented success witnessed by retail chains such as Walmart and The Kroger Company with their super efficient inventory management, logistics capabilities are some of the case studies which would ensure other retailers also to follow similar suit to gain a competitive advantage in the market. Similarly, high growth of eCommerce will also play a prominent role in the adoption of retail analytics software. According to National Retail Federation, the US eCommerce market is estimated to grow between 8–12% in 2017. eCommerce players will not only use the power of analytics to forecasts the demands of products and inventory analysis but also comprehend sentimental analysis on numerous social media platforms such as Twitter and Facebook.

The lack of skilled personnel and high initial setup costs are the major restraining factor for the growth of the retail analytics market. Complexities in gathering and integrating data from omnichannel commerce streams and increased consumer preferences are the challenges in adopting retail analytics software and services.

Most of the vendors have adopted acquisitions, agreements, collaborations and partnerships, new product launches, product upgradations, and expansions as their key strategies to expand their client base and enhance the customer experience.

For instance, in January 2016, Fujitsu Limited and Cisco Systems expanded their partnership to provide retailers advanced in-store computing and analytics solutions. Fujitsu Limited plans to resell, distribute, and offer Cisco System’s solutions to retailers across North America for maximizing in-store customer engagement, retention, and sales. The strategy of new product launch has also been adopted by the top players to enhance their presence and dominance in this market. For example, in January 2017, Oracle Corporation introduced the Oracle Retail Release 16 Suite, which empowers retailers to deliver a unified customer experience across various geographic locations. This suite provides cloud-based and on-premises solutions to enterprises of all sizes.

【レポートの目次】

1 Introduction (Page No. – 16)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.4 Years Considered for the Study
1.5 Currency
1.6 Stakeholders

2 Research Methodology (Page No. – 20)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakdown of Primaries
2.1.2.1.1 Key Industry Insights
2.2 Market Size Estimation
2.3 Microquadrant Methodology
2.3.1 Vendor Inclusion Criteria
2.4 Research Assumptions
2.5 Limitations

3 Executive Summary (Page No. – 28)

4 Remium Insights (Page No. – 32)
4.1 Attractive Market Opportunities in the Retail Analytics Market
4.2 Market By Region
4.3 Market By Application and Region
4.4 Lifecycle Analysis, By Region, 2017

5 Market Overview and Industry Trends (Page No. – 36)
5.1 Market Overview
5.1.1 Introduction
5.1.2 Market Dynamics
5.1.2.1 Drivers
5.1.2.1.1 Growing Internet Penetration
5.1.2.1.2 Advancement in Technologies, Such as Machine Learning, Artificial Intelligence, and Augmented Reality
5.1.2.1.3 Increased Use of Data-Intensive Platforms and Rapid Adoption of Social Media
5.1.2.2 Restraints
5.1.2.2.1 Lack of Skilled Personnel
5.1.2.2.2 High Initial Setup Costs
5.1.2.3 Opportunities
5.1.2.3.1 Advent of Cloud-Based Analytics
5.1.2.3.2 Growing Inclination of Vendors Toward Merging In-Store and Digital Operations
5.1.2.4 Challenges
5.1.2.4.1 Complexities in Gathering and Integrating Data From Omnichannel Ecommerce Streams
5.1.2.4.2 Increased Consumer Preferences
5.2 Industry Trends
5.2.1 Retail Analytics: Use Cases
5.2.1.1 Use Case #1: Deliver Personalized Interactions
5.2.1.2 Use Case #2: Understand Buying Patterns
5.2.1.3 Use Case #3: Understand Customer Needs
5.2.1.4 Use Case #4: Provide Cross-Selling Opportunities
5.2.1.5 Use Case #5: Market Basket Analysis
5.2.1.6 Use Case #6: Analyze Customer Footfall
5.2.1.7 Use Case #7: Increase Customer Base and Improve Loyalty
5.2.1.8 Use Case #8: Enhance On-Shelf Availability
5.2.1.9 Use Case #9: Enhance Sales, Cross-Selling, Up-Selling, and Workforce Optimization
5.3 Retail Analytics, Key Performance Indicators

6 Retail Analytics Market Analysis, By Application (Page No. – 50)
6.1 Introduction
6.2 Merchandising Analysis
6.2.1 Space Planning and Optimization
6.2.2 Product Category Analysis
6.2.3 Storefront Layout Analysis
6.3 Pricing Analysis
6.3.1 Campaign Management
6.3.2 Loyalty Management
6.3.3 Cross-Sell/Upsell and Point of Sale
6.4 Customer Management
6.4.1 Customer Segmentation, Retention, and Acquisition
6.4.2 Fraud and Risk Management
6.4.3 Demographic Analysis
6.5 Performance Analysis
6.5.1 Workforce Optimization
6.5.2 Top Performing Categories and Product Identification
6.6 Yield Analysis
6.6.1 Baseline Forecasting
6.6.2 Sales Forecasting
6.6.3 Market Basket Analysis
6.7 Inventory Analysis
6.7.1 Vendor Management
6.7.2 Replenishment Plan
6.8 Others
6.8.1 Order Management
6.8.2 Transportation Management
6.8.3 Assortment and Cluster Planning
6.8.4 Real-Estate Planning

7 Retail Analytics Market Analysis, By Business Function (Page No. – 61)
7.1 Introduction
7.2 Finance
7.3 Sales
7.4 Marketing
7.5 Supply Chain
7.6 Store Operations

8 Retail Analytics Market Analysis, By Component (Page No. – 67)
8.1 Introduction
8.1.1 Software
8.1.2 Services
8.1.2.1 Professional Services
8.1.2.1.1 Implementation and Consulting Services
8.1.2.1.2 Training and Support
8.1.2.2 Managed Services

9 Retail Analytics Market Analysis, By Deployment Model (Page No. – 73)
9.1 Introduction
9.2 On-Premises
9.3 On-Demand

10 Retail Analytics Market Analysis, By Organization Size (Page No. – 77)
10.1 Introduction
10.2 Small and Medium-Sized Enterprises
10.3 Large Enterprises

11 Retail Analytics Market Analysis, By End-User (Page No. – 81)
11.1 Introduction
11.2 Online
11.2.1 Mobiles
11.2.2 Personal Computers and Laptops
11.3 Offline
11.3.1 Supermarkets
11.3.2 Department Stores
11.3.3 Specialty Stores
11.3.4 Others

12 Geographic Analysis (Page No. – 86)
12.1 Introduction
12.2 North America
12.2.1 By Application
12.2.2 By Business Function
12.2.3 By Component
12.2.4 By Deployment Model
12.2.5 By Organization Size
12.2.6 By End-User
12.2.7 By Country
12.2.7.1 United States
12.2.7.2 Canada
12.3 Europe
12.3.1 By Application
12.3.2 By Business Function
12.3.3 By Component
12.3.4 By Deployment Model
12.3.5 By Organization Size
12.3.6 By End-User
12.3.7 By Country
12.3.7.1 United Kingdom
12.3.7.2 Germany
12.3.7.3 Rest of Europe
12.4 Asia Pacific
12.4.1 By Application
12.4.2 By Business Function
12.4.3 By Component
12.4.4 By Deployment Model
12.4.5 By Organization Size
12.4.6 By End-User
12.4.7 By Country
12.4.7.1 China
12.4.7.2 India
12.4.7.3 Rest of Asia Pacific
12.5 Middle East and Africa
12.5.1 By Application
12.5.2 By Business Function
12.5.3 By Component
12.5.4 By Deployment Model
12.5.5 By Organization Size
12.5.6 By End-User
12.5.7 By Country
12.5.7.1 Middle East
12.5.7.2 Africa
12.6 Latin America
12.6.1 By Application
12.6.2 By Business Function
12.6.3 By Component
12.6.4 By Deployment Model
12.6.5 By Organization Size
12.6.6 By End-User
12.6.7 By Country
12.6.7.1 Brazil
12.6.7.2 Mexico
12.6.7.3 Rest of Latin America

13 Competitive Landscape (Page No. – 109)
13.1 Microquadrant Overview
13.1.1 Visionary Leaders
13.1.2 Innovators
13.1.3 Dynamic Differentiators
13.1.4 Emerging Companies
13.2 Retail Analytics Market (Global), Competitive Leadership Mapping, 2017
13.3 Competitive Benchmarking
13.3.1 Business Strategy Excellence Adopted By Major Players in the Market
13.3.2 Strength of Product Portfolio Adopted By Major Players in the Market

14 Company Profiles (Page No. – 114)
(Business Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments)*
14.1 International Business Machines (IBM) Corporation
14.2 Oracle Corporation
14.3 Microsoft Corporation
14.4 Manthan Software Services Pvt. Ltd.
14.5 Fujitsu Limited
14.6 Information Builders
14.7 Microstrategy Incorporated
14.8 SAP SE
14.9 Bridgei2i Analytics Solutions Private Limited
14.10 SAS Institute Inc.
14.11 Qliktech Technologies Inc.
14.12 1010data, Inc.
14.13 Angoss Software Corporation

*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments Might Not Be Captured in Case of Unlisted Companies.

15 Appendix (Page No. – 159)
15.1 Discussion Guide
15.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
15.3 Introducing RT: Real-Time Market Intelligence
15.4 Available Customizations
15.5 Related Reports
15.6 Author Details

List of Tables (66 Tables)

Table 1 United States Dollar Exchange Rate, 2014–2016
Table 2 Evaluation Criteria
Table 3 Retail Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 4 Merchandising Analysis: Market Size, By Region, 2015–2022 (USD Million)
Table 5 Pricing Analysis: Market Size, By Region, 2015–2022 (USD Million)
Table 6 Customer Management: Market Size, By Region, 2015–2022 (USD Million)
Table 7 Performance Analysis: Market Size, By Region, 2015–2022 (USD Million)
Table 8 Yield Analysis: Market Size, By Region, 2015–2022 (USD Million)
Table 9 Inventory Analysis: Market Size, By Region, 2015–2022 (USD Million)
Table 10 Others: Market Size, By Region, 2015–2022 (USD Million)
Table 11 Retail Analytics Market Size, By Business Function, 2015–2022 (USD Million)
Table 12 Finance: Market Size, By Region, 2015–2022 (USD Million)
Table 13 Sales: Market Size, By Region, 2015–2022 (USD Million)
Table 14 Marketing: Market Size, By Region, 2015–2022 (USD Million)
Table 15 Supply Chain: Market Size, By Region, 2015–2022 (USD Million)
Table 16 Store Operations: Market Size, By Region, 2015–2022 (USD Million)
Table 17 Retail Analytics Market Size, By Component, 2015–2022 (USD Million)
Table 18 Software: Market Size, By Region, 2015–2022 (USD Million)
Table 19 Retail Analytics Market Size, By Service, 2015–2022 (USD Million)
Table 20 Services: Market Size, By Region, 2015–2022 (USD Million)
Table 21 Retail Analytics Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 22 On-Premises: Market Size, By Region, 2015–2022 (USD Million)
Table 23 On-Demand: Market Size, By Region, 2015–2022 (USD Million)
Table 24 Retail Analytics Market Size, By Organization Size, 2015–2022 (USD Million)
Table 25 Small and Medium-Sized Enterprises: Market Size, By Region, 2015–2022 (USD Million)
Table 26 Large Enterprises: Market Size, By Region, 2015–2022 (USD Million)
Table 27 Retail Analytics Market Size, By End-User, 2015–2022 (USD Million)
Table 28 Online: Market Size, By Region, 2015–2022 (USD Million)
Table 29 Offline: Market Size, By Region, 2015–2022 (USD Million)
Table 30 Retail Analytics Market Size, By Region, 2015–2022 (USD Billion)
Table 31 North America: Market Size, By Application, 2015–2022 (USD Million)
Table 32 North America: Market Size, By Business Function, 2015–2022 (USD Million)
Table 33 North America: Market Size, By Component, 2015–2022 (USD Million)
Table 34 North America: Market Size, By Service, 2015–2022 (USD Million)
Table 35 North America: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 36 North America: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 37 North America: Market Size, By End-User, 2015–2022 (USD Million)
Table 38 Europe: Retail Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 39 Europe: Market Size, By Business Function, 2015–2022 (USD Million)
Table 40 Europe: Market Size, By Component, 2015–2022 (USD Million)
Table 41 Europe: Market Size, By Service, 2015–2022 (USD Million)
Table 42 Europe: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 43 Europe: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 44 Europe: Market Size, By End-User, 2015–2022 (USD Million)
Table 45 Asia Pacific: Retail Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 46 Asia Pacific: Market Size, By Business Function, 2015–2022 (USD Million)
Table 47 Asia Pacific: Market Size, By Component, 2015–2022 (USD Million)
Table 48 Asia Pacific: Market Size, By Service, 2015–2022 (USD Million)
Table 49 Asia Pacific: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 50 Asia Pacific: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 51 Asia Pacific: Market Size, By End-User, 2015–2022 (USD Million)
Table 52 Middle East and Africa: Retail Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 53 Middle East and Africa: Market Size By Business Function, 2015–2022 (USD Million)
Table 54 Middle East and Africa: Market Size By Component, 2015–2022 (USD Million)
Table 55 Middle East and Africa: Market Size By Service, 2015–2022 (USD Million)
Table 56 Middle East and Africa: Market Size By Deployment Model, 2015–2022 (USD Million)
Table 57 Middle East and Africa: Market Size By Organization Size, 2015–2022 (USD Million)
Table 58 Middle East and Africa: Market Size By End-User, 2015–2022 (USD Million)
Table 59 Latin America: Retail Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 60 Latin America: Market Size By Business Function, 2015–2022 (USD Million)
Table 61 Latin America: Market Size By Component, 2015–2022 (USD Million)
Table 62 Latin America: Market Size By Service, 2015–2022 (USD Million)
Table 63 Latin America: Market Size By Deployment Model, 2015–2022 (USD Million)
Table 64 Latin America: Market Size By Organization Size, 2015–2022 (USD Million)
Table 65 Latin America: Market Size By End-User, 2015–2022 (USD Million)
Table 66 Market Ranking for the Retail Analytics Market, 2017

List of Figures (36 Figures)

Figure 1 Retail Analytics Market: Market Segmentation
Figure 2 Retail Analytics Market: Research Design
Figure 3 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 4 Data Triangulation
Figure 5 Market Size Estimation Methodology: Bottom-Up Approach
Figure 6 Market Size Estimation Methodology: Top-Down Approach
Figure 7 Retail Analytics Market: Assumptions
Figure 8 Retail Analytics Market: Evolution
Figure 9 Retail Analytics Market is Expected to Witness A Significant Growth During the Forecast Period, Due to Increasing Internet Use
Figure 10 Market Snapshot By Component (2017–2022)
Figure 11 Market Snapshot By Application (2017–2022)
Figure 12 Market Snapshot By Business Function (2017–2022)
Figure 13 Market Snapshot By Deployment Model (2017–2022)
Figure 14 Increased Use of Data-Intensive Platforms is Expected to Drive the Retail Analytics Market Growth During the Forecast Period
Figure 15 North America is Estimated to Dominate the Global Retail Analytics Market in 2017
Figure 16 Merchandising Analysis Application, and North America are Estimated to Have the Largest Market Shares in 2017
Figure 17 Asia Pacific is Expected to Enter the Exponential Growth Phase During the Forecast Period
Figure 18 Retail Analytics Market: Drivers, Restraints, Opportunities, and Challenges
Figure 19 Increasing Global Internet Usage
Figure 20 Retail Analytics Market: Key Performance Indicators
Figure 21 Merchandising Analysis Application is Estimated to Have the Largest Market Size in 2017
Figure 22 The Supply Chain Business Function is Estimated to Have the Largest Market Size in 2017
Figure 23 Software Segment is Expected to Have the Larger Market Size During the Forecast Period
Figure 24 On-Premises Deployment Model is Expected to Have the Larger Market Size During the Forecast Period
Figure 25 Large Enterprises Segment is Expected to Have the Larger Market Size During the Forecast Period
Figure 26 Offline End-User Segment is Expected to Have the Larger Market Size During the Forecast Period
Figure 27 North America is Expected to Have the Largest Market Size in the Retail Analytics Market During the Forecast Period
Figure 28 North America: Market Snapshot
Figure 29 Asia Pacific: Market Snapshot
Figure 30 International Business Machines Corporation: Company Snapshot
Figure 31 Oracle Corporation: Company Snapshot
Figure 32 Microsoft Corporation: Company Snapshot
Figure 33 Fujitsu Limited: Company Snapshot
Figure 34 Microstrategy Incorporated: Company Snapshot
Figure 35 SAP SE: Company Snapshot
Figure 36 SAS Institute Inc.: Company Snapshot

【レポートのキーワード】

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★調査レポート[小売分析の世界市場予測（～2022年）] ( Retail Analytics Market by Application (Merchandising Analysis, Customer Analysis, Performance Analysis), Business Function (Finance, Sales, Marketing, Supply Chain and Store Operations), Component, End-User, and Region - Global forecast to 2022 / MAM-TC2663) 販売に関する免責事項

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MAM-TC-2259 / MarketsandMarkets / 2018年2月19日 / MarketsandMarketsが発行した当調査レポートでは、音声分析の世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、産業動向、構成要素別分析、用途別分析、導入方式別分析、企業規模別分析、音声分析の世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。...“Increasing focus on higher customer satisfaction and rising significance for real-time speech analytics are expected to boost the growth of speech analytics market”The global speech analytics market size is expected to grow from USD 941.1 million in 2017 to USD 2,175.8 million by 2022, at a Compound Annual Growth Rate (CAGR) of 18.2% during the forecast period. Increasing focus on higher customer satisfaction is one of the key factors fueling the growth of this market. Cloud-based speech analytics solutions and rising need to predict are expected to evolve the speech analytics. As a result, it will provide growth opportunities for...

サービスとしてのオートメーションの世界市場予測（～2022年）：構成要素別（ソリューション、サービス）、種類別（ルールベース、知識ベース）、ビジネス機能別、展開モデル別（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）、組織サイズ別、産業別、地域別
MAM-TC-5856 / MarketsandMarkets / 2018年1月5日 / MarketsandMarketsが発行した当調査レポートでは、サービスとしてのオートメーションの世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、産業動向、市場シェア分析、市場環境分析、種類別分析、成分別分析、地域別分析、サービスとしてのオートメーションの世界市場規模及び予測、セグメント別市場規模、市場動向、競争状況、関連企業分析などの情報をお届けいたします。・イントロダクション・調査手法・エグゼクティブサマリー・プレミアムインサイト・市場概要と産業の傾向・サービスとしてのオートメーション市場：構成要素別・サービスとしてのオートメーション市場：種類別・サービスとしてのオートメーション市場：ビジネス機能別・サービスとしてのオートメーション市場：展開モデル別...“The increasing need for automation is driving the growth of the automation-as-a-service market” MarketsandMarkets estimates the global automation-as-a-service market to grow from USD 1.80 billion in 2017 to USD 6.23 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 28.1%. The automation-as-a-service market is growing rapidly because of increasing need to mechanize the repetitive and mundane business processes, and due to the massive surge in the automation trend across industries. Factor such as lack of awareness about automation-as-a-service is expected to limit the market growth. “The finance business function is expected to have the largest market size in...

バーチャルデータルームの世界市場予測（～2022年）：ビジネス機能別（マーケティングと販売、法務、財務、人材管理）、構成要素別（ソフトウェアとサービス）、展開タイプ別、組織サイズ別、業種別、地域別
MAM-TC-5980 / MarketsandMarkets / 2018年2月9日 / MarketsandMarketsが発行した当調査レポートでは、バーチャルデータルームの世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、産業動向、市場シェア分析、種類別分析、セグメント別分析、地域別分析、バーチャルデータルームの世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。・イントロダクション・調査手法・エグゼクティブサマリー・プレミアムインサイト・市場概要・バーチャルデータルーム市場：ビジネス機能別・バーチャルデータルーム市場：構成要素別・バーチャルデータルーム市場：展開タイプ別・バーチャルデータルーム市場：組織サイズ別... “Increasing volumes of business data due to complexities arising from mergers and acquisitions are expected to drive the virtual data room market” The global virtual data room market size is expected to grow from USD 949.2 million in 2017 to USD 1,895.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 14.8% during the forecast period. Increasing volumes of business data, data privacy regulations, and a growing need for intellectual property and risk management are the some of the major factors are expected to fuel the growth of virtual data room market. However, concerns over cyber security...

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