5th Floor, Rajapushpa Summit
Nanakramguda Rd, Financial District, Gachibowli
Hyderabad, Telangana - 500008
The Investment Opportunities of Big Data Technology in China is segmented by Deployment (On-Premise, Cloud), Enterprise Size (Large Enterprise, Small & Medium Enterprise), Solution (Customer Analytics, Fraud Detection and Management, Operation Intelligence, Predictive Maintenance, Asset Management), and End-user Industry (BFSI, Healthcare, Retail, Manufacturing and Automotive, Aerospace & Defense, IT & Telecommunication, Government).
2018 - 2026
The investment opportunities of big data technology in the country are expected to register a CAGR of 30% over the forecast period (2021 - 2026). China’s growth trajectory has begun to slow in spite of the government’s efforts to provide stimulus. The labour costs have risen to make China lose its cost advantage to countries such as Vietnam and Cambodia. To remain ahead of the curve, China’s economy will have to shift to a higher value with big data as one of the tools to empower this shift.
Big Data Analytics (BDA) is the complex process of scrutinizing large and varied data sets to uncover information in the form of hidden patterns, unknown correlations, market trends and customer preferences that can aid enterprises to make informed business decisions. It is a form of advanced analytics, that involves complex applications with the use of solutions such as predictive models, statistical algorithms and what-if analysis backed by high-performance analytics systems.
|By Enterprise Size|
|Small & Medium Enterprise|
|Fraud Detection and Management|
|By End-user Industry|
|Manufacturing and Automotive|
|Aerospace & Defense|
|IT & Telecommunication|
|Other End-user Industries|
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The Chinese big data space is in a highly competitive phase. Several startups have come up in the past decade, leaving their imprint on the market. For instance, big data firm Terark founded in 2015, created Terark Database, which is said to have exceeded similar products of Facebook and Google. Several such startups have challenged the earlier dominance of a few significant players making this market a fragmented one. This has also led to major consolidation in this industry with major players trying to gain market share and smaller enterprises looking to scale up. The increasing competition from the west has also forced Chinese companies to look for opportunities across the globe and not limit themselves to China. Some of the recent developments are as follows:-
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Dynamics
4.3 Market Drivers
4.3.1 Data Explosion: Unstructured, Semi-structured and Complex
4.3.2 Improvement in Algorithm Development
4.3.3 Need for Customer Analytics
4.4 Market Restraints
4.4.1 Lack of General Awareness And Expertise
4.4.2 Data Security Concerns
4.5 Industry Value Chain Analysis
4.6 Industry Attractiveness - Porter's Five Force Analysis
4.6.1 Threat of New Entrants
4.6.2 Bargaining Power of Buyers/Consumers
4.6.3 Bargaining Power of Suppliers
4.6.4 Threat of Substitute Products
4.6.5 Intensity of Competitive Rivalry
5. MARKET SEGMENTATION
5.1 By Deployment
5.2 By Enterprise Size
5.2.1 Large Enterprise
5.2.2 Small & Medium Enterprise
5.3 By Solution
5.3.1 Customer Analytics
5.3.2 Fraud Detection and Management
5.3.3 Operation Intelligence
5.3.4 Predictive Maintenance
5.3.5 Asset Management
5.3.6 Other Solutions
5.4 By End-user Industry
5.4.4 Manufacturing and Automotive
5.4.5 Aerospace & Defense
5.4.6 IT & Telecommunication
5.4.8 Other End-user Industries
6. COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 IBM China Company Limited
6.1.2 SAP China
6.1.3 Huawei Technologies Co.
6.1.4 Microsoft (China) Co., Ltd.
6.1.5 Lenovo (Beijing) Limited
6.1.6 Alibaba Cloud Computing Company
6.1.7 Inspur Group Limited
6.1.8 Baidu, Inc.
6.1.9 Neusoft Corporation
6.1.10 JD.com, Inc.
7. INVESTMENT ANALYSIS
8. MARKET OPPORTUNITIES AND FUTURE TRENDS
** Subject to Availability