세계의 빅데이터 시장(-2028년) : 제공(소프트웨어(빅데이터 분석, 데이터 마이닝, 서비스), 업무(마케팅 및 영업, 재무 및 회계), 데이터 유형(구조화, 반구조화, 비구조화), 산업별, 지역별
Big Data Market by Offering (Software (Big Data Analytics, Data Mining), Services), Business Function (Marketing & Sales, Finance & Accounting), Data Type (Structured, Semi-structured, Unstructured), Vertical and Region - Global Forecast to 2028
상품코드:1410956
리서치사:MarketsandMarkets
발행일:2024년 01월
페이지 정보:영문 484 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
보고서 개요
조사 범위
조사 대상 연도
2018-2028년
기준 연도
2022년
예측 기간
2023-2028년
단위
금액(달러)
부문
제공, 비지니스 기능, 데이터 유형, 산업, 지역별
대상 지역
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카
빅데이터 시장 규모는 2023년 2,202억 달러에서 예측 기간 동안 12.7%의 CAGR을 기록하며 2028년 4,012억 달러 규모로 성장할 것으로 예상됩니다. 빅데이터 시장의 성장은 주로 기업용 AI와 머신러닝의 부상, 전 세계 데이터 양의 급증, 비정형 데이터 관리 소프트웨어의 혁신에 의해 주도되고 있습니다.
제공 부문별로는 빅데이터 분석 소프트웨어 부문이 예측 기간 동안 가장 빠른 시장 성장률을 기록할 것으로 예상됩니다. 빅데이터 분석 소프트웨어는 방대한 데이터 세트에서 가치 있는 인사이트를 추출하는 데 있어 매우 중요한 역할을 하기 때문에 빠르게 성장하고 있습니다. 주요 성장 요인으로는 데이터 기반 의사결정에 대한 수요 증가, 분석 알고리즘의 발전, 실시간 분석에 대한 수요 증가 등을 들 수 있습니다.
업무별로는 마케팅&세일즈(Marketing&Sales) 부문이 예측 기간 동안 가장 큰 점유율을 차지할 것으로 보입니다. 이 부문은 타깃 고객 인사이트와 개인화된 전략에 대한 요구로 인해 가장 큰 점유율을 차지할 것으로 예상됩니다. 이 부문은 데이터 기반 마케팅, 고객 세분화, 영업 프로세스 최적화에 대한 의존도가 높아지면서 우위를 점할 것으로 보입니다.
지역별로는 아시아태평양이 가장 빠른 속도로 성장하고 북미가 예측 기간 동안 가장 큰 시장 점유율을 차지할 것으로 예상됩니다. 아시아태평양은 급속한 디지털화, 인터넷 연결 확대, 기술 발전에 대한 정부의 적극적인 지원으로 인해 빅데이터 시장에서 가장 빠르게 성장하는 지역으로 부상하고 있습니다. 중국, 인도, 일본 등의 국가는 강력한 기술 생태계와 빅데이터 도입이 급증하면서 선두를 달리고 있습니다. 반면, 북미는 성숙한 IT 인프라, 광범위한 첨단 기술 도입, 혁신에 대한 강한 집중으로 인해 가장 큰 시장 점유율을 차지하고 있습니다. 이 지역의 기존 기업의 존재와 빅데이터 솔루션의 빠른 도입이 북미 지역의 우위에 기여하고 있습니다.
세계 빅데이터 시장을 조사했으며, 시장 개요, 시장 영향요인 분석, 기술·특허 동향, 규제 환경, 사례 분석, 시장 규모 추이 및 예측, 각 부문별·지역별 상세 분석, 경쟁 구도, 주요 기업 개요 등의 정보를 정리하여 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 주요 요약
제4장 주요 인사이트
제5장 시장 개요와 산업 동향
시장 역학
성장 촉진요인
성장 억제요인
기회
과제
빅데이터의 진화
빅데이터 : 아키텍처
밸류체인 분석
생태계/시장 맵
투자 상황
빅데이터 시장 베스트 프랙티스
사례 연구 분석
기술 분석
관세·규제 상황
특허 분석
가격 분석
무역 분석
주요 회의와 이벤트
Porter's Five Forces 분석
빅데이터 기술 로드맵
빅데이터 비지니스 모델
고객의 비지니스에 영향을 미치는 동향/디스럽션
주요 이해관계자와 구입 기준
제6장 빅데이터 시장 : 제공별
소프트웨어 시장 : 유형별
빅데이터 애널리틱스 소프트웨어
데이터 관리 소프트웨어
데이터 마이닝 소프트웨어
데이터 시각화 소프트웨어
소프트웨어 시장 : 도입 모드별
클라우드
온프레미스
서비스
빅데이터 컨설팅 서비스
빅데이터 클렌징 및 스크러빙 서비스
빅데이터 스토리지 및 처리 서비스
빅데이터 애널리틱스 및 리포트 서비스
빅데이터 보안 서비스
BDaaS(Big Data-as-a-Service)
기타
제7장 빅데이터 시장 : 업무별
마케팅 및 영업
재무 및 회계
오퍼레이션
인사
기타
제8장 빅데이터 시장 : 데이터 유형별
비구조화 데이터
구조화 데이터
반구조화 데이터
제9장 빅데이터 시장 : 산업별
BFSI
통신
소매·소비재
헬스케어·생명과학
정부·방위
자동차
교육
제조
수송·물류
기타
제10장 빅데이터 시장 : 지역별
북미
유럽
아시아태평양
중동 및 아프리카
라틴아메리카
제11장 경쟁 상황
개요
주요 기업의 전략
매출 분석
시장 점유율 분석
브랜드/제품의 비교 분석
주요 벤더의 평가와 재무 지표
기업 평가 매트릭스 : 주요 기업
기업 평가 매트릭스 : 스타트업/중소기업
경쟁 시나리오와 동향
제12장 기업 개요
주요 기업
IBM
ORACLE
MICROSOFT
SAP
SAS INSTITUTE
SALESFORCE
AWS
TERADATA
GOOGLE
ACCENTURE
HPE
ALTERYX
CLOUDERA
TIBCO SOFTWARE
INFORMATICA
WIPRO
QLIK
SPLUNK
VMWARE
스타트업/SME 프로파일
ATACCAMA
SISENSE
IMPLY
CENTERFIELD
DATAPINE
FUSIONEX
BIGPANDA
BIGEYE
RIVERY
CARDAGRAPH
SYNCARI
FIREBOLT
VALUECODERS
HAPPIEST MINDS TECHNOLOGIES
DIGITAL GUARDIAN
CENTRIC CONSULTING
제13장 인접 시장 및 관련 시장
제14장 부록
ksm
영문 목차
영문목차
Report Description
Scope of the Report
Years Considered for the Study
2018-2028
Base Year
2022
Forecast Period
2023-2028
Units Considered
USD (Billion)
Segments
By Offering, Business Function, Data Type, Vertical, and Region
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
The big data market is projected to grow from USD 220.2 billion in 2023 to USD 401.2 billion by 2028, at a compound annual growth rate (CAGR) of 12.7% during the forecast period. The growth of the big data market is primarily driven by the advent of artificial intelligence and machine learning in corporate applications, the global surge in data volume, and innovations in unstructured data management software.
"By offering, big data analytics software segment is expected to register the fastest market growth rate during the forecast period."
The big data analytics software segment stands out as the fastest-growing in the big data market, driven by its pivotal role in extracting valuable insights from vast datasets. Factors contributing to its rapid growth include the increasing need for data-driven decision-making, advancements in analytics algorithms, and the rising demand for real-time analytics. Market trends showcase a shift towards integrated analytics platforms, AI-driven analytics, and a focus on user-friendly interfaces, reflecting the evolving landscape where businesses seek comprehensive solutions for effective data analysis and strategic decision-making.
"By business function, marketing & sales segment is expected to account for the largest market share during the forecast period."
The marketing & sales segment dominates the big data market as the largest in the business function, driven by the need for targeted customer insights and personalized strategies. Its prominence is attributed to the increasing reliance on data-driven marketing, customer segmentation, and the optimization of sales processes. Key market trends include the integration of AI for predictive analytics, emphasis on customer journey analytics, and the adoption of marketing automation tools. As businesses prioritize customer-centric approaches, the marketing & sales segment remains at the forefront, shaping the future of data-driven strategies in the competitive landscape.
"By region, Asia Pacific is slated to grow at the fastest rate and North America to have the largest market share during the forecast period."
Asia Pacific leads as the fastest-growing segment in the big data market due to rapid digitization, expanding internet connectivity, and proactive government support for technological advancements. Countries like China, India, and Japan are at the forefront, with robust tech ecosystems and a surge in big data adoption. Meanwhile, North America holds the largest market share, driven by a mature IT infrastructure, widespread adoption of advanced technologies, and a strong focus on innovation. The region's well-established enterprises and early adoption of big data solutions contribute to North America's dominance in shaping the global landscape of the big data market.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), vice presidents, innovation and technology directors, system integrators, and executives from various key organizations operating in the big data market.
By Company: Tier I-34%, Tier II-43%, and Tier III-23%
By Designation: C-Level Executives-28%, D-Level Executives-50%, and others-22%
By Region: North America- 30%, Europe - 35%, Asia Pacific- 20% and Middle East Africa- 10%, Latin America- 5 %
The report includes the study of key players offering big data software and services. The major players in the big data market include Oracle (US), Microsoft (US), SAP (Germany), IBM (US), SAS Institute (US), Salesforce (US), AWS (US), Teradata (US), Google (US), Accenture (Ireland), Alteryx (US), Cloudera (US), TIBCO (US), Informatica (US), Wipro (India), HPE (US), Qlik (US), Splunk (US), and VMWare (US), Ataccama (Canada), Imply (US), Centerfield (US), Datapine (Germany), Fusionex (Malaysia), BigPand (US), Bigeye (US), Rivery (US), Cardagraph (US), Syncari (US), Firebolt (US), ValueCoders (India), Sisense (US), Digital Guardian (US), Centric Consulting (US), and Happiest Minds Technologies (India).
Research Coverage
This research report categorizes the big data market by Offering (Software and Services), by Business Function (marketing & sales, human resources, operations, finance & accounting, and other business functions), by Data Type (unstructured data, semi-structured data, and unstructured data), by Vertical (BFSI, telecommunications, retail & consumer goods, healthcare & life sciences, government & defense, automotive, education, manufacturing, transportation & logistics, and other verticals), and by region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the big data market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions; and recent developments associated with the big data market. Competitive analysis of upcoming startups in the big data market ecosystem is covered in this report.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall big data market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
Analysis of key drivers (the ascent of artificial intelligence and machine learning in enterprise applications, increasing demand for data-driven decision-making, exponential rise in data volume, innovations and developments in unstructured data management software), restraints (increasing data silos and fragmented data landscape, integration challenges with legacy systems, regulatory compliance complexity), opportunities (integration of big data applications with untapped data sources, rising penetration of internet and connected devices, increasing adoption of cloud-based big data solutions, emergence of advanced analytics technologies), and challenges (issues related to scalability in big data, meeting the real-time processing demands of modern businesses, effectively managing the data variety and complexity of data being collected).
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the big data market
Market Development: Comprehensive information about lucrative markets - the report analyses the big data market across varied regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the big data market
Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Oracle (US), Microsoft (US), SAP (Germany), IBM (US), SAS Institute (US), Salesforce (US), AWS (US), Teradata (US), Google (US), Accenture (Ireland), Alteryx (US), Cloudera (US), TIBCO (US), Informatica (US), Wipro (India), HPE (US), Qlik (US), Splunk (US), and VMWare (US), among others in the big data market strategies. The report also helps stakeholders understand the pulse of the big data market and provides them with information on key market drivers, restraints, challenges, and opportunities
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 MARKET SCOPE
1.3.1 MARKET SEGMENTATION
FIGURE 1 BIG DATA MARKET SEGMENTATION
TABLE 1 BIG DATA MARKET DETAILED SEGMENTATION
1.3.2 REGIONS COVERED
FIGURE 2 REGIONAL SEGMENTATION
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
TABLE 2 USD EXCHANGE RATES, 2018-2022
1.5 STAKEHOLDERS
1.6 SUMMARY OF CHANGES
1.6.1 IMPACT OF RECESSION
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
FIGURE 3 BIG DATA MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
TABLE 3 PRIMARY INTERVIEWS
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 MARKET FORECAST
TABLE 4 FACTOR ANALYSIS
2.3 MARKET SIZE ESTIMATION
FIGURE 4 BIG DATA MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
FIGURE 5 APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF BIG DATA MARKET
FIGURE 6 APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF BIG DATA MARKET
FIGURE 7 APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF BIG DATA MARKET
FIGURE 8 APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF BIG DATA THROUGH OVERALL DIGITAL SOLUTIONS SPENDING
2.4 DATA TRIANGULATION
FIGURE 9 DATA TRIANGULATION
2.5 RESEARCH ASSUMPTIONS
2.6 STUDY LIMITATIONS
2.7 IMPLICATIONS OF RECESSION ON BIG DATA MARKET
TABLE 5 IMPACT OF RECESSION ON GLOBAL BIG DATA MARKET
3 EXECUTIVE SUMMARY
TABLE 6 GLOBAL BIG DATA MARKET SIZE AND GROWTH RATE, 2018-2022 (USD MILLION, Y-O-Y)
TABLE 7 GLOBAL BIG DATA MARKET SIZE AND GROWTH RATE, 2023-2028 (USD MILLION, Y-O-Y)
FIGURE 10 SOFTWARE SEGMENT TO BE LARGER MARKET IN 2023
FIGURE 11 BIG DATA ANALYTICS SOFTWARE TO BE LEADING SOFTWARE SEGMENT DURING FORECAST PERIOD
FIGURE 12 BIG DATA CONSULTING SERVICES TO LEAD MARKET IN 2023
FIGURE 13 ON-PREMISE DEPLOYMENT MODEL TO BE LARGER SEGMENT DURING FORECAST PERIOD
FIGURE 14 MARKETING & SALES BUSINESS FUNCTION SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023
FIGURE 15 UNSTRUCTURED DATA TYPE SEGMENT TO BE DOMINANT MARKET SHARE IN 2023
FIGURE 16 RETAIL & CONSUMER GOODS VERTICAL TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD
FIGURE 17 ASIA PACIFIC TO REGISTER FASTEST GROWTH RATE BETWEEN 2023 & 2028
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN BIG DATA MARKET
FIGURE 18 AMPLIFIED DEMAND FOR DATA-DRIVEN INSIGHTS SET TO PROPAGATE EXPONENTIAL GROWTH IN BIG DATA MARKET
4.2 BIG DATA MARKET: TOP THREE DATA TYPES
FIGURE 19 UNSTRUCTURED DATA TYPE TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD
4.3 NORTH AMERICA: BIG DATA MARKET, BY OFFERING AND VERTICAL
FIGURE 20 SOFTWARE AND BFSI TO BE LARGEST SHAREHOLDERS IN MARKET IN NORTH AMERICA IN 2023
4.4 BIG DATA MARKET, BY REGION
FIGURE 21 NORTH AMERICA TO ACCOUNT FOR LARGEST REGIONAL MARKET SHARE IN 2023
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 22 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: BIG DATA MARKET
5.2.1 DRIVERS
5.2.1.1 Ascent of artificial intelligence and machine learning in enterprise applications
5.2.1.2 Increase in demand for data-driven decision-making
FIGURE 23 DATA-DRIVEN DECISION-MAKING IN ORGANIZATIONS WORLDWIDE, BY SECTOR, 2020
5.2.1.3 Exponential rise in data volume
FIGURE 24 VOLUME OF DATA CREATED AND REPLICATED WORLDWIDE, 2010-2025 (ZETTABYTE)
5.2.1.4 Innovations and developments in unstructured data management software
5.2.2 RESTRAINTS
5.2.2.1 Increase in data silos and fragmented data landscape
FIGURE 25 MOST REPORTED DATA SILO ISSUES BY GLOBAL ENTERPRISES, 2017-2022
5.2.2.2 Integration challenges with legacy systems
5.2.2.3 Regulatory compliance complexity
5.2.3 OPPORTUNITIES
5.2.3.1 Integration of big data applications with untapped data sources
5.2.3.2 Rise in penetration of internet and connected devices
FIGURE 26 GLOBAL INTERNET USER GROWTH, 2018-2023 (BILLION)
5.2.3.3 Increase in adoption of cloud-based big data solutions
FIGURE 27 SHARE OF CORPORATE DATA STORED IN CLOUD, 2015-2022
5.2.3.4 Emergence of advanced analytics technologies
5.2.4 CHALLENGES
5.2.4.1 Issues related to scalability in big data
5.2.4.2 Meeting real-time processing demands of modern businesses
5.2.4.3 Effective management of data variety and complexity of data being collected
FIGURE 28 VARIETY OF DATA COLLECTED IN 60 SECONDS, 2023
5.3 EVOLUTION OF BIG DATA
FIGURE 29 BIG DATA MARKET EVOLUTION
5.4 BIG DATA: ARCHITECTURE
FIGURE 30 FUNCTIONAL ELEMENTS OF BIG DATA SOLUTION
5.5 VALUE CHAIN ANALYSIS
FIGURE 31 BIG DATA MARKET: VALUE CHAIN ANALYSIS
TABLE 8 BIG DATA MARKET: VALUE CHAIN ANALYSIS
5.6 ECOSYSTEM/MARKET MAP
TABLE 9 ROLE OF PLAYERS IN BIG DATA MARKET
FIGURE 32 KEY PLAYERS IN BIG DATA MARKET ECOSYSTEM
5.6.1 TECHNOLOGY PROVIDERS
5.6.2 CLOUD SERVICE PROVIDERS
5.6.3 BIG DATA SOLUTION PROVIDERS
5.6.4 CONSULTING & PROFESSIONAL SERVICE PROVIDERS
5.6.5 BIG DATA SECURITY & GOVERNANCE PROVIDERS
5.6.6 GOVERNMENT & REGULATORY BODIES
5.7 INVESTMENT LANDSCAPE
FIGURE 33 VENTURE CAPITAL DEAL VOLUME IN BIG DATA, BY CATEGORY, 2011-2022
FIGURE 34 BIG DATA SPEND PATTERN OF ENTERPRISES IN THEIR OVERALL TECHNOLOGY EXPENDITURE, 2014-2022
FIGURE 35 PERCENTAGE OF TECH COMPANIES INVESTING IN BIG DATA & AI, 2017-2021
FIGURE 36 GLOBAL VENTURE CAPITAL INVESTMENT IN BIG DATA, BY CATEGORY, 2018-2022
FIGURE 37 TOP FIVE BIG DATA & DATA ANALYTICS FUNDING ROUNDS, 2022 (USD MILLION)
5.8 BEST PRACTICES IN BIG DATA MARKET
TABLE 10 BEST PRACTICES IN BIG DATA MARKET
5.9 CASE STUDY ANALYSIS
5.9.1 BFSI
5.9.1.1 Erste Group Bank gained 360-degree view of customers using Oracle Big Data Appliance on single cloud platform
5.9.2 TELECOMMUNICATIONS
5.9.2.1 Robi Axiata Limited used Cloudera platform to enhance customer experience
5.9.3 RETAIL & CONSUMER GOODS
5.9.3.1 Myntra used Azure Synapse Analytics and Azure HDInsight to stabilize services and increase year-over-year traffic
5.9.4 GOVERNMENT & DEFENSE
5.9.4.1 Indian Oil used Qlik to achieve business value by providing real-time analytics on big data
5.9.5 MANUFACTURING
5.9.5.1 Brembo used TIBCO Spotfire to enhance production processes with help of big data
5.9.6 HEALTHCARE & LIFE SCIENCE
5.9.6.1 IQVIA used Qlik big data analytics to help UK healthcare services
5.10 TECHNOLOGY ANALYSIS
5.10.1 KEY TECHNOLOGY
5.10.1.1 Data Mining
5.10.1.2 Data Stream Processing
5.10.1.3 NoSQL Databases
5.10.1.4 Data Warehousing
5.10.2 COMPLEMENTARY TECHNOLOGY
5.10.2.1 Cloud Computing
5.10.2.2 Data Analytics
5.10.2.3 Business Intelligence (BI)
5.10.2.4 Data Visualization
5.10.3 ADJACENT TECHNOLOGY
5.10.3.1 Machine Learning
5.10.3.2 Artificial Intelligence
5.10.3.3 Internet of Things (IoT)
5.10.3.4 Data Integration
5.11 TARIFF AND REGULATORY LANDSCAPE
5.11.1 TARIFF RELATED TO BIG DATA SOFTWARE
TABLE 11 TARIFF RELATED TO BIG DATA SOFTWARE, 2022
5.11.2 REGULATORY LANDSCAPE
5.11.2.1 Regulatory bodies, government agencies, and other organizations
TABLE 12 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 13 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 14 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 15 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 16 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.11.3 REGULATIONS
5.11.3.1 North America
5.11.3.1.1 Personal Information Protection and Electronic Documents Act (PIPEDA)
5.11.3.1.2 California Consumer Privacy Act (CCPA)
5.11.3.1.3 Gramm-Leach-Bliley (GLB) Act
5.11.3.2 Europe
5.11.3.2.1 General Data Protection Regulation
5.11.3.2.2 Network and Information Systems Directive (NIS Directive) - European Union
5.11.3.2.3 Directive on Privacy and Electronic Communications (ePrivacy Directive)
5.11.3.3 Asia Pacific
5.11.3.3.1 Personal Data Protection Act
5.11.3.3.2 Act on the Protection of Personal Information
5.11.3.3.3 Critical Information Infrastructure
5.11.3.3.4 International Organization for Standardization 27001
5.11.3.4 Middle East & Africa
5.11.3.4.1 Protection of Personal Information Act (POPIA) - South Africa
5.11.3.4.2 Dubai Data Law - United Arab Emirates (UAE)
5.11.3.4.3 Nigerian Data Protection Regulation (NDPR)
5.11.3.5 Latin America
5.11.3.5.1 Brazil Data Protection Law
5.11.3.5.2 Argentina Personal Data Protection Law No. 25.326
5.11.3.5.3 Colombian Data Protection Laws
5.12 PATENT ANALYSIS
5.12.1 METHODOLOGY
5.12.2 PATENTS FILED, BY DOCUMENT TYPE
TABLE 17 PATENTS FILED, 2013-2023
5.12.3 INNOVATION AND PATENT APPLICATIONS
FIGURE 38 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2013-2023
5.12.3.1 Top 10 applicants in big data market
FIGURE 39 TOP 10 APPLICANTS IN BIG DATA MARKET, 2013-2023
TABLE 18 TOP 20 PATENT OWNERS IN BIG DATA MARKET, 2013-2023
TABLE 19 LIST OF PATENTS GRANTED IN BIG DATA MARKET, 2023
FIGURE 40 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013-2023
5.13 PRICING ANALYSIS
5.13.1 AVERAGE SELLING PRICE TRENDS OF KEY PLAYERS, BY SOFTWARE TYPE
FIGURE 41 AVERAGE SELLING PRICE TREND OF KEY PLAYERS: TOP THREE SOFTWARE TYPES (USD/YEAR)
TABLE 20 AVERAGE SELLING PRICE TREND OF KEY PLAYERS: TOP THREE SOFTWARE TYPES
5.13.2 INDICATIVE PRICING ANALYSIS, BY BIG DATA VENDORS
TABLE 21 INDICATIVE PRICING LEVELS OF BIG DATA SOLUTIONS
