The North America big data in e-commerce market is evaluated to register a CAGR of 14.54% during the forecast period, 2020-2028. The factors propelling the growth of the market are the rapidly increasing data generation from the industry vertical and the early adoption of technology. The market region is considered to be one of the largest consumers of big data in e-commerce industry. Many top vendors like Google Inc, Microsoft Corp, SAP SE, IBM Corp, Oracle Corp, etc. have their presence in the market region, accounting for more than 70% of the solution analytics market.
NORTH AMERICA BIG DATA IN E-COMMERCE MARKET FORECAST 2020-2028
The North America big data in e-commerce market is evaluated to register a CAGR of 14.54% during the forecast period, 2020-2028. The factors propelling the growth of the market are the rapidly increasing data generation from the industry vertical and the early adoption of technology. The market region is considered to be one of the largest consumers of big data in e-commerce industry. Many top vendors like Google Inc, Microsoft Corp, SAP SE, IBM Corp, Oracle Corp, etc. have their presence in the market region, accounting for more than 70% of the solution analytics market.
The countries analyzed for market growth in the North America big data in e-commerce market include the United States and Canada. The United States is projected to dominate the global and regional big data market during the forecast period. Many of the prominent vendors in the market are US based, and the adoption of big data services is high in the region. There have been considerable investments by The White House for big data projects. The presence of a large number of professionals in the market is beneficial for the growth of the market. The growth in retailers in the US is estimated to lead to increased investments from them in supply chain management. They are also putting in efforts to enhance the customer experience. Big data applications can aid them in achieving their goals. The growth of the e-commerce industry is estimated to increase the use of big data among US retailers. According to the TSYS, U.S. Consumer Payment Study, there is a growth in the preference for mobile payment methods among US consumers. Further, the North American market growth is projected to be influenced by the consistent efforts in enhancing customer satisfaction and the rising cases of fraud detections.
Amazon Web Services Inc (AWS) is a subsidiary of Amazon.com, Inc., that provides cloud computing services and offers a range of cloud infrastructure services that include networking, databases, compute, storage, analytics, augmented reality, etc. The company has its presence in the UK, the US, France, Germany, Australia, China, Canada, Brazil, Japan, Ireland, Singapore, Korea, and India. The company has its headquarters in Seattle, Washington, the US. The company partnered with Salesforce in November 2019. The company acquired DataRow in February 2020. The flagship product of DataRow is a web-based client for the Amazon Redshift cloud data warehouse.
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- RESEARCH SCOPE & METHODOLOGY
- STUDY OBJECTIVES
- SCOPE OF STUDY
- METHODOLOGY
- ASSUMPTIONS & LIMITATIONS
- EXECUTIVE SUMMARY
- MARKET SIZE & ESTIMATES
- MARKET OVERVIEW
- MARKET DYNAMICS
- PARENT MARKET ANALYSIS: BIG DATA MARKET
- DEVELOPMENT OF BIG DATA
- MARKET DEFINITION
- KEY DRIVERS
- UTILIZATION OF BIG DATA FOR IMPROVING SALES & CUSTOMER SATISFACTION
- USE OF BIG DATA BY E-COMMERCE COMPANIES TO DRIVE PRODUCT CUSTOMIZATIONS
- GROWING INCLINATION TOWARDS VARIOUS ONLINE PAYMENT METHODS
- KEY RESTRAINTS
- SHORTAGE OF TRAINED BIG DATA EXPERTS
- CONCERNS RELATED TO DATA ACCURACY & PRIVACY
- KEY ANALYTICS
- KEY INVESTMENT INSIGHTS
- PORTER’S FIVE FORCE ANALYSIS
- BUYER POWER
- SUPPLIER POWER
- SUBSTITUTION
- NEW ENTRANTS
- INDUSTRY RIVALRY
- OPPORTUNITY MATRIX
- VENDOR LANDSCAPE
- VALUE CHAIN ANALYSIS
- MARKET BY COMPONENT
- SOFTWARE
- HARDWARE
- MARKET BY DEPLOYMENT MODEL
- CLOUD BASED
- PRIVATE CLOUD
- PUBLIC CLOUD
- ON-PREMISES
- CLOUD BASED
- MARKET BY TYPE
- STRUCTURED
- UNSTRUCTURED
- SEMI-STRUCTURED
- MARKET BY SOLUTION
- CONTENT ANALYTICS
- CUSTOMER ANALYTICS
- FRAUD DETECTION
- RISK MANAGEMENT
- MARKET BY END-USER
- ONLINE CLASSIFIED
- ONLINE EDUCATION
- ONLINE FINANCIAL
- BANKING SERVICES/WALLETS
- FINANCIAL SERVICES
- ONLINE RETAIL
- ONLINE TRAVEL AND LEISURE
- OTHER END-USERS
- GEOGRAPHICAL ANALYSIS
- NORTH AMERICA
- UNITED STATES
- CANADA
- NORTH AMERICA
- COMPANY PROFILES
- AMAZON WEB SERVICES INC
- CLOUDERA INC
- DATA USA
- DELL INC
- GUAVUS INC
- HEWLETT PACKARD ENTERPRISE COMPANY
- HITACHI LTD
- INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
- MICROSOFT CORPORATION
- ORACLE CORPORATION
- PALANTIR TECHNOLOGIES
- SAP SE
- SAS INSTITUTE
- SPLUNK INC
- TERADATA CORPORATION
LIST OF TABLES
TABLE 1: MARKET SNAPSHOT – BIG DATA IN E-COMMERCE
TABLE 2: DEVELOPMENT OF BIG DATA
TABLE 3: MOST COMMONLY USED MOBILE PAYMENT OPTIONS WITH THEIR APPROXIMATE USERS
TABLE 4: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY COMPONENT, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
TABLE 5: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY COMPONENT, FORECAST YEARS, 2020-2028 (IN $ MILLION)
TABLE 6: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY DEPLOYMENT MODEL, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
TABLE 7: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY DEPLOYMENT MODEL, FORECAST YEARS, 2020-2028 (IN $ MILLION)
TABLE 8: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY CLOUD BASED, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
TABLE 9: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY CLOUD BASED, FORECAST YEARS, 2020-2028 (IN $ MILLION)
TABLE 10: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY TYPE, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
TABLE 11: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY TYPE, FORECAST YEARS, 2020-2028 (IN $ MILLION)
TABLE 12: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY SOLUTION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
TABLE 13: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY SOLUTION, FORECAST YEARS, 2020-2028 (IN $ MILLION)
TABLE 14: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY END-USER, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
TABLE 15: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY END-USER, FORECAST YEARS, 2020-2028 (IN $ MILLION)
TABLE 16: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY ONLINE FINANCIAL, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
TABLE 17: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY ONLINE FINANCIAL, FORECAST YEARS, 2020-2028 (IN $ MILLION)
TABLE 18: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)
TABLE 19: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)
LIST OF FIGURES
FIGURE 1: PAYMENT METHOD SHARE IN E-COMMERCE TRANSACTIONS, 2018 & 2022 (IN %)
FIGURE 2: KEY INVESTMENT INSIGHTS
FIGURE 3: REGION WISE MOBILE DATA TRAFFIC GENERATION (IN %)
FIGURE 4: WORLDWIDE MOBILE DATA TRAFFIC FORECASTS, 2016-2021 (EXABYTES PER MONTH)
FIGURE 5: MOBILE DATA TRAFFIC IN KEY GEOGRAPHIES, 2017-2021 (EXABYTES PER MONTH)
FIGURE 6: PORTER’S FIVE FORCE ANALYSIS
FIGURE 7: OPPORTUNITY MATRIX
FIGURE 8: VENDOR LANDSCAPE
FIGURE 9: VALUE CHAIN ANALYSIS
FIGURE 10: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY COMPONENT, IN 2019
FIGURE 11: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY SOFTWARE, 2020-2028 (IN $ MILLION)
FIGURE 12: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY HARDWARE, 2020-2028 (IN $ MILLION)
FIGURE 13: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY DEPLOYMENT MODEL, IN 2019
FIGURE 14: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY CLOUD BASED, 2020-2028 (IN $ MILLION)
FIGURE 15: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY CLOUD BASED, IN 2019
FIGURE 16: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY PRIVATE CLOUD, 2020-2028 (IN $ MILLION)
FIGURE 17: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY PUBLIC CLOUD, 2020-2028 (IN $ MILLION)
FIGURE 18: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY ON-PREMISES, 2020-2028 (IN $ MILLION)
FIGURE 19: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY TYPE, IN 2019
FIGURE 20: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY STRUCTURED, 2020-2028 (IN $ MILLION)
FIGURE 21: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY UNSTRUCTURED, 2020-2028 (IN $ MILLION)
FIGURE 22: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY SEMI-STRUCTURED, 2020-2028 (IN $ MILLION)
FIGURE 23: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY SOLUTION, IN 2019
FIGURE 24: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY CONTENT ANALYTICS, 2020-2028 (IN $ MILLION)
FIGURE 25: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY CUSTOMER ANALYTICS, 2020-2028 (IN $ MILLION)
FIGURE 26: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY FRAUD DETECTION, 2020-2028 (IN $ MILLION)
FIGURE 27: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY RISK MANAGEMENT, 2020-2028 (IN $ MILLION)
FIGURE 28: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY END-USER, IN 2019
FIGURE 29: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY ONLINE CLASSIFIED, 2020-2028 (IN $ MILLION)
FIGURE 30: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY ONLINE EDUCATION, 2020-2028 (IN $ MILLION)
FIGURE 31: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY ONLINE FINANCIAL, 2020-2028 (IN $ MILLION)
FIGURE 32: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY ONLINE RETAIL, 2020-2028 (IN $ MILLION)
FIGURE 33: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY ONLINE TRAVEL AND LEISURE, 2020-2028 (IN $ MILLION)
FIGURE 34: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, BY OTHER END-USERS, 2020-2028 (IN $ MILLION)
FIGURE 35: NORTH AMERICA BIG DATA IN E-COMMERCE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
FIGURE 36: UNITED STATES BIG DATA IN E-COMMERCE MARKET, 2020-2028 (IN $ MILLION)
FIGURE 37: CANADA BIG DATA IN E-COMMERCE MARKET, 2020-2028 (IN $ MILLION)
- GEOGRAPHICAL ANALYSIS
- NORTH AMERICA
- UNITED STATES
- CANADA
- NORTH AMERICA
- MARKET BY COMPONENT
- SOFTWARE
- HARDWARE
- MARKET BY DEPLOYMENT MODEL
- CLOUD BASED
- PRIVATE CLOUD
- PUBLIC CLOUD
- ON-PREMISES
- CLOUD BASED
- MARKET BY TYPE
- STRUCTURED
- UNSTRUCTURED
- SEMI-STRUCTURED
- MARKET BY SOLUTION
- CONTENT ANALYTICS
- CUSTOMER ANALYTICS
- FRAUD DETECTION
- RISK MANAGEMENT
- MARKET BY END-USER
- ONLINE CLASSIFIED
- ONLINE EDUCATION
- ONLINE FINANCIAL
- BANKING SERVICES/WALLETS
- FINANCIAL SERVICES
- ONLINE RETAIL
- ONLINE TRAVEL AND LEISURE
- OTHER END-USERS
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