ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET 2019-2028

ICT | Telecom and Internet

ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET 2019-2028

Market By Deployment, Data Type, Solution, End-user And Geography | Forecast 2019-2028

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A Triton Market Research report has estimated that the Big Data in e-commerce market in the Asia-Pacific region is likely to flourish at a CAGR of 14.19% in the forecasted period 2019-2028.

The countries studied in the Asia-Pacific Big Data in e-commerce market are:

     South Korea

•     China

     ASEAN countries

     Japan

•     India

     Australia & New Zealand

•     Rest of APAC countries



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Big Data technology in China is witnessing considerable growth owing to the explosion of data, which is generated due to the growing rates of penetration of mobile & smartphone & internet, advancement in machine learning, rapid urbanization, algorithm development and the rising need for customer & behavioral analytics. Baidu, a Chinese search engine company, has developed a Big Data lab in Beijing and is aiming to gain insights from searches and other company services. The company is planning to apply it to other sectors like healthcare, machine learning and predictive analysis. These developments are expected to increase the adoption of Big Data in the country, thereby pushing the market growth further.

India is one of the top ten Big Data analytics markets in the world. The National Association of Software and Service Companies (NASSCOM) aims to take the country in the top three and estimated that the market is anticipated to reach $16 million by 2025. This factor indicates immense opportunities for the scope of Big Data analytics in the country. The availability of an English-speaking and highly technical population is driving the Indian Big Data market. The CAG (Comptroller and Auditor General of India) launched a 'Big Data Management Policy' to manage the enormous volumes of data, produced by several states and central government departments. These initiatives, coupled with the increasing adoption of Big Data technology, are driving the regional market.

Hitachi Ltd is a company engaged in manufacturing electrical and electronic products. The company offers services, including cloud services, consulting, logistics, leasing & loan guarantees and property management. It serves different sectors like energy & utilities, power, transportation, government, finance, public and healthcare. The company has its headquarters in Chiyoda-Ku, Tokyo, Japan, and has major operations in North America, Asia-Pacific, Latin America and Europe.

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Table of Content

1.    ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET - SUMMARY

2.    INDUSTRY OUTLOOK

2.1. MARKET DEFINITION

2.2. PARENT MARKET ANALYSIS: BIG DATA MARKET

2.3. EVOLUTION & TRANSITION OF BIG DATA

2.4. KEY INSIGHTS

2.4.1. UNSTRUCTURED DATA OFFERS LUCRATIVE GROWTH OPPORTUNITIES

2.4.2. CLOUD IS THE MOST PREFERRED DEPLOYMENT MODE

2.4.3. CONTEXTUAL & PROGRAMMATIC ADVERTISING – KEY TREND

2.4.4. RISE IN SUBSCRIPTION-BASED BUSINESS MODELS

2.5. PORTER’S FIVE FORCE ANALYSIS

2.5.1. THREAT OF NEW ENTRANTS

2.5.2. THREAT OF SUBSTITUTE

2.5.3. BARGAINING POWER OF BUYERS

2.5.4. BARGAINING POWER OF SUPPLIERS

2.5.5. THREAT OF COMPETITIVE RIVALRY

2.6. MARKET ATTRACTIVENESS INDEX

2.7. VENDOR SCORECARD

2.8. INDUSTRY COMPONENTS

2.9. MARKET DRIVERS

2.9.1. ADOPTION OF BIG DATA BY ONLINE RETAILERS TO GAIN COMPETITIVE ADVANTAGE

2.9.2. E-RETAILERS USING BIG DATA FOR CUSTOMER BEHAVIORAL ANALYSIS & PERSONALIZED RECOMMENDATIONS

2.10. MARKET RESTRAINTS

2.10.1. LACK OF BIG DATA PROFESSIONALS

2.11. MARKET OPPORTUNITIES

2.11.1. GROWING PREFERENCE OF CONSUMERS TOWARDS ONLINE PAYMENT METHODS

2.11.2. MASSIVE GROWTH IN THE DATA GENERATION

2.12. MARKET CHALLENGES

2.12.1. PRIVACY OF BIG DATA – MAJOR CHALLENGE

3.    ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET OUTLOOK - BY DEPLOYMENT

3.1. CLOUD-BASED

3.2. ON-PREMISES

4.    ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET OUTLOOK - BY DATA TYPE

4.1. STRUCTURED

4.2. UNSTRUCTURED

4.3. SEMI-STRUCTURED

5.    ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET OUTLOOK - BY SOLUTION

5.1. CONTENT ANALYTICS

5.2. CUSTOMER ANALYTICS

5.3. FRAUD DETECTION

5.4. RISK MANAGEMENT

6.    ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET OUTLOOK - BY END-USER

6.1. ONLINE CLASSIFIED

6.2. ONLINE EDUCATION

6.3. ONLINE FINANCIAL

6.4. ONLINE RETAIL

6.5. ONLINE TRAVEL AND LEISURE

6.6. OTHER END-USERS

7.    ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET – REGIONAL OUTLOOK

7.1. CHINA

7.2. JAPAN

7.3. INDIA

7.4. SOUTH KOREA

7.5. ASEAN COUNTRIES

7.6. AUSTRALIA & NEW ZEALAND

7.7. REST OF ASIA-PACIFIC

8.    COMPETITIVE LANDSCAPE

8.1. MICROSOFT CORPORATION

8.2. IBM CORPORATION

8.3. ORACLE

8.4. AMAZON WEB SERVICES INC

8.5. SAP SE

8.6. HEWLETT PACKARD ENTERPRISE

8.7. DATA USA

8.8. CLOUDERA INC

8.9. SAS INSTITUTE INC

8.10. TERADATA CORPORATION

8.11. GUAVUS INC

8.12.  PALANTIR TECHNOLOGIES

8.13. HITACHI LTD

8.14.  DELL TECHNOLOGIES

8.15. SPLUNK INC

9.    RESEARCH METHODOLOGY & SCOPE

9.1. RESEARCH SCOPE & DELIVERABLES

9.2. SOURCES OF DATA

9.3. RESEARCH METHODOLOGY

List of table

TABLE 1: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY COUNTRY, 2019-2028 (IN $ MILLION)      

TABLE 2: EVOLUTION & TRANSITION OF BIG DATA          

TABLE 3: VENDOR SCORECARD        

TABLE 4: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY DEPLOYMENT, 2019-2028 (IN $ MILLION)        

TABLE 5: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY DATA TYPE, 2019-2028 (IN $ MILLION)   

TABLE 6: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY SOLUTION, 2019-2028 (IN $ MILLION)      

TABLE 7: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY END-USER, 2019-2028 (IN $ MILLION)      

TABLE 8: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY COUNTRY, 2019-2028 (IN $ MILLION)      

List of Figures

FIGURE 1: MARKET ATTRACTIVENESS INDEX       

FIGURE 2: INDUSTRY COMPONENTS

FIGURE 3: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY CLOUD-BASED, 2019-2028 (IN $ MILLION)          

FIGURE 4: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY ON-PREMISES, 2019-2028 (IN $ MILLION)        

FIGURE 5: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY STRUCTURED, 2019-2028 (IN $ MILLION)        

FIGURE 6: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY UNSTRUCTURED, 2019-2028 (IN $ MILLION)          

FIGURE 7: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY SEMI-STRUCTURED, 2019-2028 (IN $ MILLION)

FIGURE 8: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY CONTENT ANALYTICS, 2019-2028 (IN $ MILLION)

FIGURE 9: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY CUSTOMER ANALYTICS, 2019-2028 (IN $ MILLION)

FIGURE 10: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY FRAUD DETECTION, 2019-2028 (IN $ MILLION)

FIGURE 11: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY RISK MANAGEMENT, 2019-2028 (IN $ MILLION)

FIGURE 12: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY ONLINE CLASSIFIED, 2019-2028 (IN $ MILLION)

FIGURE 13: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY ONLINE EDUCATION, 2019-2028 (IN $ MILLION)

FIGURE 14: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY ONLINE FINANCIAL, 2019-2028 (IN $ MILLION)

FIGURE 15: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY ONLINE RETAIL, 2019-2028 (IN $ MILLION)          

FIGURE 16: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY ONLINE TRAVEL AND LEISURE, 2019-2028 (IN $ MILLION)     

FIGURE 17: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, BY OTHER END-USERS, 2019-2028 (IN $ MILLION)

FIGURE 18: ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)          

FIGURE 19: CHINA BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)           

FIGURE 20: JAPAN BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)          

FIGURE 21: INDIA BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION) 

FIGURE 22: SOUTH KOREA BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)           

FIGURE 23: ASEAN COUNTRIES BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)      

FIGURE 24: AUSTRALIA & NEW ZEALAND BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)        

FIGURE 25: REST OF ASIA-PACIFIC BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)      

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