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市場調查報告書
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1637855

中國巨量資料技術的投資機會－市場佔有率分析、產業趨勢/統計、成長預測（2025-2030）

Investment Opportunities of Big Data Technology in China - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 100 Pages | 商品交期: 2-3個工作天內

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簡介目錄

中國巨量資料技術投資機會市場預計在預測期間內複合年成長率為30%

中國巨量資料技術投資機會-市場-IMG1

主要亮點

  • 中國的多家公司正大力投資巨量資料實施。網路搜尋公司百度、電子商務公司阿里巴巴和京東以及社群媒體公司騰訊都圍繞著巨量資料開發了經營模式和營運。
  • 此外，中國的巨量資料分析正在以兩種方式幫助企業：建立更新的經營模式以及有效的產品和生產計畫。在中國，行動付款系統作為經營模式被廣泛使用，繞過了銀行卡產生技術。此類行動付款管道有利於資料生成，並且可以輕鬆整合許多線上和線下服務。
  • 為了最大限度地提高巨量資料的採用率，中國企業正在推出用於資料管理的一體化巨量資料平台。同樣，使用者也見證了採用此類技術後收益統計的改善。
  • 與美國同業相比，中國企業採用雲端運算的速度較慢，原因是工作負載遷移的複雜性和成本，以及安全和監管問題。
  • 此外，在 COVID-19 大流行期間，近乎即時地提取、可視化此類情報並採取行動的要求尤其重要，包括努力限制其傳播並幫助企業生存，正逐漸成為一項關鍵任務目標。隨著許多公司開始採用在家工作和遠距工作文化，產生大量資料並為資料分析帶來新的機會，巨量資料和商業分析行業預計將成長。

中國巨量資料技術投資機會市場趨勢

客戶分析需求將呈指數級成長，推動市場成長

  • 巨量資料的使用可以讓公司更了解他們的基本客群。有關客戶的多維資料使公司能夠更深入地了解客戶的想法、為什麼需要產品以及他們選擇（或不選擇）某些品牌而不是其他品牌的原因。
  • 消費者分析使您能夠對行銷、銷售、包裝或產品本身做出明智的改變。結合市場分析，公司可以預測客戶需求，確定產品生命週期，減少過剩，同時確保有足夠的供應來滿足需求。
  • 考慮到中國消費市場規模龐大，產生的資料量龐大且將持續成長。巨量資料是有效管理這些負載的最佳方法，對於參與市場競爭的公司來說變得越來越重要。
  • 中國各地的公司都致力於建立未來的智慧供應鏈，利用資料、自然語言處理、影像識別和機器學習來更好地預測消費者的需求並實現最高水平的技術效率。
  • 客戶分析對於 BFSI、汽車和醫療保健等領域至關重要，這些領域 B2C 元素仍然佔據市場主導地位，並且還有很大的擴展空間。然而，鑑於該行業的重要性以及市場競爭的日益激烈，零售業和線上零售可能需要最多的客戶分析。根據政府機構國家統計局的數據，今年中國網路零售約為人民幣 1,325,227 億元（合 4,714.39 美元），成長 1.2%。

零售刺激市場成長

  • 海量資料驅動人工智慧。因此，它也自然會滲透到零售和消費品領域。中國的許多巨量資料公司聲稱可以幫助負責人、零售商和電子商務公司管理資料並進行庫存預測、細分客戶以及個人化客戶參與參與。
  • 此外，全國各地的商店都在利用物聯網設備和解決方案來追蹤存量基準、分析客戶資料並改善客戶互動。此類技術進步有助於改善整個供應鏈的產品追蹤並更好地了解消費行為。
  • 此外，以「提高效率」、改善整體客戶體驗為目標，阿里巴巴與零售巨頭百聯集團達成策略聯盟與合作。雙方將探索新零售機會，利用巨量資料整合線下門市、產品、物流和付款工具。
  • 此外，中國消費者對奢侈品的投資比其他任何地方都更加數位化。據麥肯錫公司稱，使用資料分析來個性化客戶電子商務體驗的時尚公司將其數位銷售額成長了 30-50%。自去年年底以來，奢侈品牌可能會更加積極參與與資料管理公司建立在中國的合作。

中國巨量資料技術投資機會產業概況

中國豐富的資料空間競爭激烈，參與企業包括IBM中國有限公司、SAP中國有限公司、華為技術有限公司、微軟（中國）和聯想（北京）有限公司等。過去十年中湧現了幾家公司，並對行業產生了巨大影響。西方競爭對手的增加迫使中國企業將目光轉向海外。

  • 2022年10月，智慧雲端網路透過創新技術升級CloudFabric 3.0、CloudCampus 3.0、CloudWAN 3.0三大場景能力，企業業務變革驅動企業ICT基礎設施發展，IP網路將成為IT與CT之間的橋樑。生產、行政流程，形成工業數位轉型的互聯互通基礎。

其他好處

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章簡介

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章市場洞察

  • 市場概況
  • 產業價值鏈分析
  • 產業吸引力－波特五力分析
    • 新進入者的威脅
    • 買家/消費者的議價能力
    • 供應商的議價能力
    • 替代品的威脅
    • 競爭公司之間的敵對關係

第5章市場動態

第6章 市場促進因素

  • 資料爆炸：非結構化、半結構化、複雜
  • 改進演算法開發
  • 客戶分析的必要性

第7章 市場限制因素 市場限制因素

  • 缺乏普遍意識和專業知識
  • 資料安全問題

第8章市場區隔

  • 按發展
    • 本地
    • 雲
  • 按公司規模
    • 主要企業
    • 小型企業
  • 按解決方案
    • 客戶分析
    • 詐欺檢測/管理
    • 營運情報
    • 預測性維護
    • 資產管理
    • 其他解決方案
  • 按最終用戶產業
    • BFSI
    • 醫療保健
    • 零售
    • 製造/汽車
    • 航太/國防
    • 資訊科技/通訊
    • 政府機構
    • 其他

第9章 競爭格局

  • 公司簡介
    • IBM China Company Limited
    • SAP China
    • Huawei Technologies Co.
    • Microsoft (China) Co., Ltd.
    • Lenovo（Beijing）Limited
    • Alibaba Cloud Computing Company
    • Inspur Group Limited
    • Baidu, Inc.
    • Neusoft Corporation
    • JD.com, Inc.

第10章投資分析

第11章 市場機會及未來趨勢

簡介目錄
Product Code: 47943

The Investment Opportunities of Big Data Technology in China Market is expected to register a CAGR of 30% during the forecast period.

Investment Opportunities of Big Data Technology in China - Market - IMG1

Key Highlights

  • Various organizations in the country are also investing significantly in adopting Big Data. The Internet search company Baidu, e-commerce companies Alibaba and JD, and social media company Tencent developed their business models and operations around Big Data.
  • Furthermore, Big Data Analytics in China assists businesses in two ways: creating newer business models and effective product/production planning. China is experiencing an extensive use of mobile payment systems as a business model, bypassing the card generation of technology. Such mobile payment platforms facilitate the generation of data and simple integration for many online to offline services.
  • To maximize the adoption of Big Data, companies in China are launching all-in-one Big Data platforms for data management. Similarly, users have witnessed an improvement in their revenue statistics by adopting such technologies.
  • The companies in China have been slower to adopt cloud computing compared to the US firms, citing the complexity and cost of workload migrations and added security and regulatory issues.
  • Moreover, The requirement to extract, visualize, and act on this intelligence in near-real-time is gradually becoming a mission-critical goal, particularly amid the COVID-19 epidemic, including efforts to restrict its spread and aid firms in staying afloat. Since many businesses have started to adopt work-from-home and remote working cultures, which produce enormous volumes of data and open up new opportunities for data analytics, the big data and business analytics industry is expected to grow.

China Big Data Technology Investment Opportunities Market Trends

Need for Customer Analytics to Increase Exponentially Driving the Market Growth

  • The usage of big data lets enterprises understands their customer base better. Multi-dimensional data on customers allows businesses to dig deeper into how they think, why they need a product, and why they chose (or didn't choose) a specific brand over another.
  • Consumer analysis can enable informed changes to marketing, sales, packaging, or the product itself. Blending it with market analytics lets businesses project customer needs, identify product life cycles, and provide enough supply to match demand while reducing the surplus.
  • Given the enormous scale of China's consumer markets, the amount of data produced is vast and will continue to increase. Big data is the best approach to manage these loads effectively, and it is becoming increasingly crucial for businesses competing in the market.
  • Companies all around China are concentrating on creating the smart supply chains of the future that will use data, natural language processing, image recognition, and machine learning to predict better consumer wants and reach the highest level of technological efficiency.
  • Customer analytics will be crucial in sectors like BFSI, Automotive, and Healthcare, where the B2C component still dominates the market and offers significant room for expansion. However, given the importance of the industry and growing market competitiveness, the retail sector and online retail sales will require customer analytics the most. Approximately 132,522.7 billion yuan (4714.39 USD) were spent on online retail sales in China this year, an increase of 1.2 percent, according to the National Bureau of Statistics of China, a government organization.

Retail to Stimulate the Market Growth

  • Considerable data power AI. Thus it stands to reason that it will keep permeating the retail and consumer products sectors. Many big data firms in China assert to help marketers, retailers, and eCommerce firms manage their data so they can forecast inventory, segment customers, and personalize customer engagement.
  • Additionally, national shops use IoT devices and solutions to track stock levels, analyze customer data, and improve customer interactions. These technological advancements improve product tracking across the supply chain and aid in better understanding consumer behavior.
  • Moreover, With the goal of "elevating efficiency" and improving the overall customer experience, Alibaba and the retail conglomerate Bailian Group has a strategic partnership and collaboration. The two companies have looked into new retail opportunities and will use Big Data to integrate offline stores, products, logistics, and payment tools.
  • Additionally, luxury customer investments in China are far more digital than anywhere else. According to McKinsey & Co., fashion companies that harness data analytics to personalize customer e-commerce experiences have grown their digital sales anywhere from 30 to 50 percent. By the end of the last year and beyond, luxury brands will be more actively involved in setting up China-based collaborations with data management companies.

China Big Data Technology Investment Opportunities Industry Overview

The Chinese ample data space is highly competitive, with players such as IBM China Company Limited, SAP China, Huawei Technologies Co., Microsoft (China) Co., Ltd., and Lenovo (Beijing) Limited. Several companies have emerged in the last ten years and left their impact on the industry. Due to the increased western competition, Chinese businesses have been pushed to turn outside China for prospects.

  • October 2022 - Intelligent Cloud-Network Upgrades Capabilities in Three Scenarios Based on Innovative Technologies, these capabilities are CloudFabric 3.0, CloudCampus 3.0, and CloudWAN 3.0, where changes in enterprise business are driving the development of enterprise ICT infrastructure, and IP networks serving as the bridge between IT and CT and covering all production and office procedures of enterprises, constitute the connectivity foundation for digital industrial transformation.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Value Chain Analysis
  • 4.3 Industry Attractiveness - Porter's Five Force Analysis
    • 4.3.1 Threat of New Entrants
    • 4.3.2 Bargaining Power of Buyers/Consumers
    • 4.3.3 Bargaining Power of Suppliers
    • 4.3.4 Threat of Substitute Products
    • 4.3.5 Intensity of Competitive Rivalry

5 MARKET DYNAMICS

6 Market Drivers

  • 6.1 Data Explosion: Unstructured, Semi-structured and Complex
  • 6.2 Improvement in Algorithm Development
  • 6.3 Need for Customer Analytics

7 Market Restraints

  • 7.1 Lack of General Awareness And Expertise
  • 7.2 Data Security Concerns

8 MARKET SEGMENTATION

  • 8.1 By Deployment
    • 8.1.1 On-Premise
    • 8.1.2 Cloud
  • 8.2 By Enterprise Size
    • 8.2.1 Large Enterprise
    • 8.2.2 Small & Medium Enterprise
  • 8.3 By Solution
    • 8.3.1 Customer Analytics
    • 8.3.2 Fraud Detection and Management
    • 8.3.3 Operation Intelligence
    • 8.3.4 Predictive Maintenance
    • 8.3.5 Asset Management
    • 8.3.6 Other Solutions
  • 8.4 By End-user Industry
    • 8.4.1 BFSI
    • 8.4.2 Healthcare
    • 8.4.3 Retail
    • 8.4.4 Manufacturing and Automotive
    • 8.4.5 Aerospace & Defense
    • 8.4.6 IT & Telecommunication
    • 8.4.7 Government
    • 8.4.8 Other End-user Industries

9 COMPETITIVE LANDSCAPE

  • 9.1 Company Profiles
    • 9.1.1 IBM China Company Limited
    • 9.1.2 SAP China
    • 9.1.3 Huawei Technologies Co.
    • 9.1.4 Microsoft (China) Co., Ltd.
    • 9.1.5 Lenovo (Beijing) Limited
    • 9.1.6 Alibaba Cloud Computing Company
    • 9.1.7 Inspur Group Limited
    • 9.1.8 Baidu, Inc.
    • 9.1.9 Neusoft Corporation
    • 9.1.10 JD.com, Inc.

10 INVESTMENT ANALYSIS

11 MARKET OPPORTUNITIES AND FUTURE TRENDS