한글목차

세계 빅데이터 거래 시장 전망은 공공 데이터, 기업 데이터, 개인 데이터 시장에서 기회가 있고 유망시되고 있습니다. 세계 빅데이터 거래 시장은 2025-2031년 연평균 13.3%의 성장률을 보일 것으로 예측됩니다. 이 시장의 주요 촉진요인은 데이터 생성 및 소비 증가, 클라우드 컴퓨팅 및 스토리지의 발전, 실시간 데이터 분석에 대한 수요 증가입니다.

• Lucintel의 예측에 따르면 유형별로는 기업 주도형이 예측 기간 중 가장 큰 부문이 될 것으로 예측됩니다.
• 용도별로는 기업 데이터가 가장 높은 성장세를 보일 것으로 예측됩니다.
• 지역별로는 아시아태평양이 예측 기간 중 가장 높은 성장세를 보일 것으로 예측됩니다.

150페이지가 넘는 종합적인 보고서를 통해 비즈니스 의사결정에 도움이 되는 귀중한 인사이트를 얻을 수 있습니다.

빅데이터 거래 시장의 새로운 동향

• 기업은 기밀 정보로 매출을 창출하는 것뿐만 아니라 데이터를 공유할 수 있는 보다 안전한 방법을 점점 더 많이 찾고 있습니다. AI, 블록체인, 엣지 컴퓨팅과 같은 새로운 기술을 통해 이러한 운영상의 사일로를 제거할 수 있습니다. 엄격한 규제와 실시간 인사이트에 대한 필요성도 혁신을 촉진하고 있습니다. 기업은 데이터를 귀중한 자산으로 여기게 되었고, 데이터 교환을 가능하게 하는 구조도 변화하고 있습니다. 그 결과, 협업이 강화되고, 헬스케어, 금융 등의 산업이 변화하고 있습니다. 이러한 배경을 바탕으로 빅데이터 거래 시장을 형성하고 있는 5가지 주요 동향을 소개합니다. :
• 블록체인의 데이터 마켓플레이스: 블록체인을 활용하는 비즈니스에서는 중개자가 배제되어 P2P 거래가 더욱 빠르게 이루어지고 있습니다. 이를 통해 기밀 정보의 신뢰성, 소유권, 투명성을 높일 수 있습니다. 데이터 프로바이더는 블록체인의 안전한 특성으로 인해 데이터의 무결성을 보장하면서 데이터를 직접 수익화할 수 있다는 장점이 있습니다. 이 모델이 탄력을 받으면 일반 공개를 포기하는 기밀 정보의 양을 크게 줄일 수 있습니다.
• 서비스형 데이터(Data-as-a-Service, DaaS)의 확장: 조직이 정적인 데이터세트를 관리하는 것보다 데이터 스트림에 가입하는 것을 선호하므로 DaaS 플랫폼이 확장되고 있습니다. 이러한 추세는 의사결정의 민첩성을 향상시키고, 데이터 저장 비용을 절감하며, 최신 고품질 데이터에 대한 액세스를 보장합니다. 모든 분야의 기업이 분석, 예측, AI 모델 학습에 DaaS를 활용하여 경쟁력을 강화하고 데이터베이스 전략을 추진하고 있습니다.
• AI를 통한 데이터세트 평가 및 가격 책정: AI와 머신러닝 시스템은 데이터세트의 품질, 관련성, 시장 가치를 실시간으로 평가하여 가격 책정의 공정성을 높입니다. 이러한 시스템은 투명성을 높이고, 데이터 프로바이더와 구매자 모두가 보다 효과적으로 협상할 수 있도록 돕습니다. 평가의 자동화는 데이터 마켓플레이스에서 확장 가능한 거래를 지원하며, 시장 자산으로서 데이터의 상품화를 촉진합니다.
• 데이터 공유의 프라이버시 보호 기술: 연계 학습, 차등 프라이버시, 준동형 암호화 등의 기술은 사용자의 프라이버시를 보호하면서 데이터 공유를 가능하게 합니다. 이를 통해 조직은 기밀 정보를 공개하지 않고도 공동으로 데이터를 분석하여 GDPR(EU 개인정보보호규정), CCPA 및 기타 규정 준수를 지원할 수 있습니다. 이러한 기술의 채택이 진행됨에 따라 적용 가능한 산업과 이용 사례의 폭이 넓어지고 있습니다.
• 실시간 데이터 거래: 금융, 물류, 사물인터넷 등의 분야에서는 즉각적인 분석에 대한 수요가 실시간 데이터 교환의 필요성을 높이고 있습니다. 고급 스트리밍과 저지연 네트워크는 온디맨드 데이터 액세스를 통해 비즈니스 인사이트와 대응력을 강화할 수 있도록 도와줍니다. 이러한 추세는 가치 창출 부문에서 보다 빈번하고 시간에 민감한 데이터 교환을 위한 시장으로 시장을 이끌고 있습니다.

이러한 새로운 동향은 업계 전반의 데이터 평가, 교환, 활용 방식을 바꾸고 있습니다. 탈중앙화, 실시간 양방향성, 프라이버시 강화, AI 기반 기능에 대한 관심은 빅데이터 거래 시장을 보다 효율적이고 쉽게 이용할 수 있도록 하고 있습니다. 이러한 추세는 더욱 광범위한 협업을 촉진하고, 혁신을 가속화하며, 지능적이고 안전한 데이터 흐름을 실현할 수 있도록 진화하고 있습니다.

빅데이터 거래 시장의 최근 동향

빅데이터 거래 분야의 최근 동향은 기술 혁신과 비즈니스 니즈의 변화에 따른 활동의 활성화를 반영하고 있습니다. 협업, 보안 강화, 전략적 제휴를 위한 새로운 시스템은 데이터 공유, 수익화, 보호 방식을 재구성하고 있습니다. 시장은 정적인 데이터 저장에서 실시간 문맥에 따른 활용을 가능하게 하는 능동적인 시스템으로 전환하고 있습니다. 규제 변화와 데이터 주권에 대한 우려도 이러한 변화에 영향을 미치고 있습니다. 그 결과, 데이터에 대한 접근성이 향상되고, 품질이 개선되며, 신뢰가 높아져 데이터 경제 전체가 강화됩니다. 다음은 빅데이터 거래 시장에 영향을 미치는 5가지 주요 발전 사항입니다.

• 상호 운용 가능한 데이터 마켓플레이스 출시: 시스템 간의 원활한 통합과 데이터 교환을 가능하게 하는 새로운 툴이 업계 간 협업을 촉진하고 있습니다. 상호운용성은 표준화된 API와 데이터 포맷을 통해 달성되며, 데이터 수집, 공유, 통합시 마찰을 줄여줍니다.
• 데이터 보안 인프라 강화에 대한 투자: 사이버 보안 위협에 대응하기 위해 기업은 제로 트러스트 아키텍처와 암호화 프로토콜에 투자하고 있습니다. 이러한 강화는 특히 의료, 금융 등 기밀성이 높은 분야에서의 데이터 교환 환경의 신뢰성을 향상시키고 있습니다.
• 규제 조화 노력: 각국 정부 및 업계 연합은 국경 간 데이터 공유 규제 표준화를 위해 적극적으로 노력하고 있습니다. 이러한 구상은 컴플라이언스를 개선하고, 법적 리스크를 줄이며, 특히 다국적 기업과 세계 플랫폼의 원활한 국제 데이터 교환을 촉진하는 것을 목표로 하고 있습니다.
• 전략적 인수 및 합병: 기존 기술 기업 및 스타트업은 데이터 교환 및 분석 업체를 인수하여 기능 및 시장 입지를 확장하고 있습니다. 이러한 전략적 움직임은 제품 개발 및 종합적인 데이터 솔루션 구축에 박차를 가하고 있습니다.
• 스마트 계약 통합: 스마트 계약는 데이터 교환 조건을 자동화하고, 이용 컴플라이언스를 강화합니다. 이를 통해 특히 구독 모델 기반의 라이선싱에서 거래의 효율성과 투명성을 향상시킬 수 있습니다.

이러한 최근 발전은 빅데이터 거래 시장의 전략적 기반을 개선하고 있습니다. 안전하고 컴플라이언스를 준수하는 효율적인 데이터 공유를 가능하게 함으로써 확장 가능하고 탄력적인 데이터 경제의 기반을 마련하고 있습니다. 이러한 변화는 혁신적인 비즈니스 모델을 이끌어내며 업계 전반의 디지털 전환을 지원하고 있습니다.

목차

제1장 개요

제2장 시장 개요

• 배경과 분류
• 공급망

제3장 시장 동향과 예측 분석

• 거시경제 동향과 예측
• 업계 촉진요인과 과제
• PESTLE 분석
• 특허 분석
• 규제 환경

제4장 세계의 빅데이터 거래 시장 : 유형별

• 개요
• 유형별 매력 분석
• 정부 주도형 : 동향과 예측(2019-2031년)
• 기업주도형 : 동향과 예측(2019-2031년)
• 공급업체형 : 동향과 예측(2019-2031년)
• 중개업자형 : 동향과 예측(2019-2031년)

제5장 세계의 빅데이터 거래 시장 : 용도별

• 개요
• 용도별 매력 분석
• 공공 데이터 : 동향과 예측(2019-2031년)
• 기업 데이터 : 동향과 예측(2019-2031년)
• 개인 데이터 : 동향과 예측(2019-2031년)

제6장 지역 분석

• 개요
• 지역별 빅데이터 거래 세계 시장

제7장 북미의 빅데이터 거래 시장

• 개요
• 북미의 빅데이터 거래소 시장(유형별)
• 북미의 빅데이터 거래 시장(용도별)
• 미국의 빅데이터 거래 시장
• 멕시코의 빅데이터 거래 시장
• 캐나다의 빅데이터 거래 시장

제8장 유럽의 빅데이터 거래 시장

• 개요
• 유럽의 빅데이터 거래소 시장(유형별)
• 유럽의 빅데이터 거래 시장(용도별)
• 독일의 빅데이터 거래 시장
• 프랑스의 빅데이터 거래 시장
• 스페인의 빅데이터 거래 시장
• 이탈리아의 빅데이터 거래 시장
• 영국의 빅데이터 거래 시장

제9장 아시아태평양의 빅데이터 거래 시장

• 개요
• 아시아태평양의 빅데이터 거래소 시장(유형별)
• 아시아태평양의 빅데이터 거래소 시장(용도별)
• 일본의 빅데이터 거래 시장
• 인도의 빅데이터 거래 시장
• 중국의 빅데이터 거래 시장
• 한국의 빅데이터 거래 시장
• 인도네시아의 빅데이터 거래 시장

제10장 기타 지역의 빅데이터 거래 시장

• 개요
• 기타 지역의 빅데이터 거래소 시장(유형별)
• 기타 지역의 빅데이터 거래 시장(용도별)
• 중동의 빅데이터 거래 시장
• 남미의 빅데이터 거래 시장
• 아프리카의 빅데이터 거래 시장

제11장 경쟁 분석

• 제품 포트폴리오 분석
• 운영 통합
• Porter's Five Forces 분석
  • 경쟁 기업 간 경쟁 관계
  • 바이어의 교섭력
  • 공급 기업의 교섭력
  • 대체품의 위협
  • 신규 진출업체의 위협
• 시장 점유율 분석

제12장 기회와 전략 분석

• 밸류체인 분석
• 성장 기회 분석
  • 유형별 성장 기회
  • 용도별 성장 기회
• 세계 빅데이터 거래 시장의 새로운 동향
• 전략 분석
  • 신제품 개발
  • 인증과 라이선싱
  • 합병, 인수, 계약, 제휴, 합병사업

제13장 밸류체인에서 주요 기업의 기업 개요

• 경쟁 분석
• Amazon Web Services(AWS)
• Microsoft Azure
• Google Cloud Platform(GCP)
• IBM
• Oracle
• Cloudera
• Snowflake

제14장 부록

• List of Figures
• List of Tables
• Research Methodology
• Disclaimer
• Copyright
• Abbreviations and Technical Units
• About Us
• Contact Us

영문목차

The future of the global big data exchange market looks promising with opportunities in the public data, enterprise data, and personal data markets. The global big data exchange market is expected to grow with a CAGR of 13.3% from 2025 to 2031. The major drivers for this market are the increasing data generation and consumption, advancements in cloud computing and storage, and the growing demand for real-time data analytics.

• Lucintel forecasts that, within the type category, business-led will remain the largest segment over the forecast period.
• Within the application category, enterprise data is expected to witness the highest growth.
• In terms of region, APAC is expected to witness the highest growth over the forecast period.

Gain valuable insights for your business decisions with our comprehensive 150+ page report. Sample figures with some insights are shown below.

Emerging Trends in the Big Data Exchange Market

• Businesses are increasingly looking for more secure methods to share data as well as to monetize sensitive information. Due to emerging technology such as AI, blockchain, and edge computing, these operational silos can be eliminated. Stringent regulations and the need for real-time insights are also driving innovation. Companies are treating data as a valuable asset, and this is transforming the structure that enables data exchange. As a result, collaboration is enhanced, and industries such as healthcare and finance are being transformed. With this context in mind, the following five key trends are shaping the big data exchange market:
• Data Marketplaces on the Blockchain: Businesses that leverage blockchain are experiencing faster peer-to-peer transactions because intermediaries are removed. This enhances trust, ownership, and transparency for sensitive information. Data providers have the advantage of directly monetizing their data while ensuring its integrity through the secure nature of the blockchain. If this model gains momentum, the volume of sensitive information withheld from public access can be significantly reduced.
• Growing Expansion of Data-as-a-Service (DaaS): DaaS platforms are expanding because organizations prefer subscribing to data streams rather than managing static datasets. This trend improves decision-making agility, reduces data storage costs, and ensures access to current, high-quality data. Companies in all sectors are increasingly using DaaS for analytics, forecasting, and AI model training, which is driving more competitive and data-driven strategies.
• AI-Driven Valuation and Price Setting of Data Sets: AI and machine learning systems are assessing datasets for quality, relevance, and market value in real time, which improves fairness in pricing. These systems enhance transparency and help both data providers and buyers negotiate more effectively. Automated valuation also supports scalable trading in data marketplaces, advancing the commoditization of data as a marketable asset.
• Privacy-Preserving Technologies in Data Sharing: Technologies such as federated learning, differential privacy, and homomorphic encryption help enable data sharing while protecting user privacy. These methods allow organizations to analyze data collaboratively without exposing sensitive information and support compliance with GDPR, CCPA, and other regulations. Greater adoption of these technologies is expanding the range of applicable industries and use cases.
• Real-Time Data Exchange: The demand for instant analytics in sectors such as finance, logistics, and the Internet of Things is driving the need for real-time data exchange. Advanced streaming and low-latency networks provide data accessibility on demand, enhancing operational insight and responsiveness. This trend is pushing the market toward more frequent and time-sensitive data exchanges in value-generating sectors.

These emerging trends are transforming how data is valued, exchanged, and utilized across industries. A focus on decentralization, real-time interactivity, privacy enhancement, and AI-powered functionalities is making the big data exchange market more efficient and accessible. As these trends continue to evolve, they will promote broader collaboration, accelerate innovation, and enable intelligent and secure data flows.

Recent Developments in the Big Data Exchange Market

Recent developments in the big data exchange sector reflect increasing activity driven by technology innovation and changing business needs. New systems for collaboration, enhanced security, and strategic alliances are reshaping how data is shared, monetized, and protected. The market is moving away from static data storage toward active systems that allow real-time contextual usage. Regulatory changes and data sovereignty concerns are also influencing this shift. The combined result is improved data accessibility, enhanced quality, and increased trust, strengthening the overall data economy. The following are five major developments influencing the big data exchange market.

• Interoperable Data Marketplaces are being Launched: New tools that allow seamless integration and data exchange between systems are fostering collaboration across industries. Interoperability is achieved through standardized APIs and data formats, which reduce friction during data acquisition, sharing, and integration.
• Enhancing Data Security Infrastructure Receives More Funding: Organizations are investing in zero-trust architecture and encrypted protocols to counter rising cybersecurity threats. These enhancements are improving confidence in data exchange environments, especially in sensitive sectors such as healthcare and finance.
• Regulatory Harmonization Initiatives: Governments and industry coalitions are actively working to standardize cross-border data sharing regulations. These initiatives aim to improve compliance, reduce legal risk, and facilitate smoother international data exchanges, particularly for multinational companies and global platforms.
• Strategic Acquisitions and Mergers: Established technology firms and startups are acquiring data exchange and analytics companies to expand capabilities and market presence. These strategic moves are accelerating product development and the creation of comprehensive data solutions.
• Integration of Smart Contracts: Smart contracts are automating data exchange terms and enforcing usage compliance. This improves transaction efficiency and transparency, especially for licensing based on subscription models.

These recent advancements are improving the strategic foundation of the big data exchange market. By enabling secure, compliant, and efficient data sharing, they are setting the stage for a scalable and resilient data economy. These changes are unlocking innovative business models and supporting digital transformation across industries.

Strategic Growth Opportunities in the Big Data Exchange Market

Organizations are using big data to gain a competitive edge, making secure data exchange a crucial element in value creation. The demand for real-time insights, strong security, and platform interoperability is rising across industries. Predictive analytics, smart city technologies, and healthcare data interoperability are opening new doors. These opportunities reflect a major shift toward collaborative and ecosystem-based data exchange models. The following five application-specific growth opportunities are driving the rapid expansion of the big data exchange market.

• Interoperability in Healthcare Data Systems: Integrated records, interoperable platforms, and personalized medicine programs require real-time, compliant data exchange. Solutions that connect providers, insurers, and researchers improve patient outcomes and streamline healthcare operations, particularly in value-based care systems.
• Smart City Initiatives: The push for smarter cities is increasing the need for data sharing between public agencies and private firms. Platforms that aggregate real-time intelligence from IoT sensors and public data support infrastructure optimization and energy management.
• Financial Fraud Detection and Risk Analytics: Financial institutions are using shared data to better detect fraud and evaluate risk. The exchange of transactional and behavioral data across organizations enhances predictive accuracy, aiding compliance and risk mitigation.
• Optimization of the Supply Chain: Real-time data exchange between suppliers, logistics firms, and retailers supports inventory tracking and demand planning. This cooperation reduces operational costs and enables faster responses to disruptions such as geopolitical conflicts or pandemics.
• Training of AI and Machine Learning Models: Developing accurate AI systems requires access to large and varied datasets. Sharing anonymized data supports automation, natural language processing, and computer vision innovations in areas such as e-commerce, robotics, and autonomous vehicles.

These application-specific opportunities are driving growth in the data exchange market by enabling more strategic and efficient collaboration. This expansion is helping remove barriers to advanced decision-making, improving the value and reach of data sharing across sectors.

Big Data Exchange Market Driver and Challenges

The big data exchange market is shaped by diverse drivers and challenges that stem from technology, policy, and economic changes. Innovations such as cloud computing, artificial intelligence, and decentralized platforms like blockchain are boosting market growth. At the same time, privacy concerns, uneven infrastructure, and regulatory fragmentation are limiting adoption. Understanding these forces is critical for making informed strategic decisions. The following are five major drivers and three key challenges impacting the market.

The factors responsible for driving the big data exchange market include:

1. Increased Efficacy for External Insight Sourcing: Post-pandemic, companies are relying on real-time intelligence and are increasingly sourcing external data. This has raised the demand for data exchange platforms that support innovation and operational improvements.

2. Advancements in Data-Powered Intelligence Tools: Technologies powered by machine learning, natural language processing, and predictive analytics are improving the analysis of large datasets. These tools boost the value of shared data and encourage wider participation in data ecosystems.

3. The Growth of IoT Devices: With the rise of connected sensors, data generation has surged. Platforms that facilitate data collection, sharing, and monetization are becoming essential for automation and real-time analysis in industries from manufacturing to logistics.

4. Cloud Infrastructure Growth: Cloud platforms offer the scalability and cost-efficiency required for modern data operations. This has lowered the entry barrier for small businesses and improved cross-border data exchange.

5. Regulatory Initiatives for Portability of Data: Frameworks such as GDPR are promoting standardized data portability. This encourages more open and compliant data sharing between organizations and across platforms.

Challenges in the big data exchange market are:

1. Data Breaches and Privacy Issues: Differing international data privacy laws hinder global data sharing. Organizations must invest in strong legal and technical safeguards to avoid reputational and financial harm.

2. Data Exchange Standardization Problems: Lack of unified data formats and exchange protocols leads to inefficient integration and reduced data value. Addressing these inconsistencies is essential for market scalability.

3. Trust and Data Quality Concerns: It is often difficult to verify the origin and quality of shared data. While reputation scoring systems are emerging, their effectiveness remains limited, deterring trust in exchanges.

These drivers and challenges define the complex environment of the big data exchange market. Although innovation and regulation are fueling growth, interoperability and trust must be improved. Establishing strong governance frameworks and using privacy-focused technologies will be key to building a robust and inclusive ecosystem.

List of Big Data Exchange Companies

• Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies, big data exchange companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the big data exchange companies profiled in this report include:
• Amazon Web Services (AWS)
• Microsoft Azure
• Google Cloud Platform (GCP)
• IBM
• Oracle
• Cloudera
• Snowflake

Big Data Exchange Market by Segment

The study includes a forecast for the global big data exchange market by type, application, and region.

Big Data Exchange Market by Type [Value from 2019 to 2031]:

• Government-Led
• Business-Led
• Suppliers
• Intermediaries

Big Data Exchange Market by Application [Value from 2019 to 2031]:

• Public Data
• Enterprise Data
• Personal Data

Big Data Exchange Market by Region [Value from 2019 to 2031]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the Big Data Exchange Market

The big data exchange market is witnessing active changes within the key regions of the United States, China, Germany, India, and Japan. These areas have a complex interplay due to new technological advancements, increasing data production, and the proliferation of cloud computing. All these nations are pouring large sums into big data techniques and frameworks, enhancing the environment for data exchange. There is an increased focus on the economic situation of each region, including government policies and market conditions, leading to a variety of developments and growth rates in these large economies.

• United States: The US holds the top position in the big data exchange market, with its spending on artificial intelligence (AI) and machine learning (ML) technologies outpacing the competition. Businesses have started to rely on cloud-based data solutions to increase the speed and efficiency of processing and analyzing real-time data. Moreover, the United States government has been nurturing various initiatives across a wide range of applications, such as healthcare and the public sector, to increase the efficacy of decision-making and operations.
• China: Supported by government-backed initiatives and increased demand for data exchange solutions, China has rapidly expanded its big data capabilities. The country has focused on integrating AI, IoT, and big data to improve its manufacturing, healthcare, and urban management sectors. Along with this, China's data exchange market is fortified by strong regulations such as the Cybersecurity Law, which aims to improve data security and privacy on a national scale.
• Germany: Due to its emphasis on strong regulations within the industrial sector, Germany is focusing on building a robust data exchange ecosystem. The country is actively transitioning to IoT and data-driven manufacturing processes, a core aspect of Industry 4.0, as part of its big data strategies. Germany, being a part of the European Union, works on compliance with GDPR and other frameworks that address data privacy and protection issues, creating a conducive environment for data exchange.
• India: In India, sectoral big data exchange is witnessing rapid changes, particularly in the healthcare, education, and agriculture sectors. The government is focusing on constructing cloud infrastructure and digital platforms for proper data collection and exchange. Furthermore, the government's Digital India initiative is facilitating the supply of data and improving access to big data technologies, which are critical for economic development.
• Japan: Being a forerunner in enabling automation and improving industrial and manufacturing productivity through the use of big data, Japan is well on its way to achieving its set goals. With robust processes in place, the country is adopting AI, robotics, and big data with the intent to improve structures. In addition, Japan has been making developments in its legal framework to adjust to the changing landscape of industries, enabling better data protection and encouraging safe data sharing.

Features of the Global Big Data Exchange Market

• Market Size Estimates: Big data exchange market size estimation in terms of value ($B).
• Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.
• Segmentation Analysis: Big data exchange market size by type, application, and region in terms of value ($B).
• Regional Analysis: Big data exchange market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
• Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the big data exchange market.
• Strategic Analysis: This includes M&A, new product development, and competitive landscape of the big data exchange market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

This report answers the following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the big data exchange market by type (government-led, business-led, suppliers, and intermediaries), application (public data, enterprise data, and personal data), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Market Overview

• 2.1 Background and Classifications
• 2.2 Supply Chain

3. Market Trends & Forecast Analysis

• 3.1 Macroeconomic Trends and Forecasts
• 3.2 Industry Drivers and Challenges
• 3.3 PESTLE Analysis
• 3.4 Patent Analysis
• 3.5 Regulatory Environment

4. Global Big Data Exchange Market by Type

• 4.1 Overview
• 4.2 Attractiveness Analysis by Type
• 4.3 Government-Led: Trends and Forecast (2019-2031)
• 4.4 Business-Led: Trends and Forecast (2019-2031)
• 4.5 Suppliers: Trends and Forecast (2019-2031)
• 4.6 Intermediaries: Trends and Forecast (2019-2031)

5. Global Big Data Exchange Market by Application

• 5.1 Overview
• 5.2 Attractiveness Analysis by Application
• 5.3 Public Data: Trends and Forecast (2019-2031)
• 5.4 Enterprise Data: Trends and Forecast (2019-2031)
• 5.5 Personal Data: Trends and Forecast (2019-2031)

6. Regional Analysis

• 6.1 Overview
• 6.2 Global Big Data Exchange Market by Region

7. North American Big Data Exchange Market

• 7.1 Overview
• 7.2 North American Big Data Exchange Market by Type
• 7.3 North American Big Data Exchange Market by Application
• 7.4 United States Big Data Exchange Market
• 7.5 Mexican Big Data Exchange Market
• 7.6 Canadian Big Data Exchange Market

8. European Big Data Exchange Market

• 8.1 Overview
• 8.2 European Big Data Exchange Market by Type
• 8.3 European Big Data Exchange Market by Application
• 8.4 German Big Data Exchange Market
• 8.5 French Big Data Exchange Market
• 8.6 Spanish Big Data Exchange Market
• 8.7 Italian Big Data Exchange Market
• 8.8 United Kingdom Big Data Exchange Market

9. APAC Big Data Exchange Market

• 9.1 Overview
• 9.2 APAC Big Data Exchange Market by Type
• 9.3 APAC Big Data Exchange Market by Application
• 9.4 Japanese Big Data Exchange Market
• 9.5 Indian Big Data Exchange Market
• 9.6 Chinese Big Data Exchange Market
• 9.7 South Korean Big Data Exchange Market
• 9.8 Indonesian Big Data Exchange Market

10. ROW Big Data Exchange Market

• 10.1 Overview
• 10.2 ROW Big Data Exchange Market by Type
• 10.3 ROW Big Data Exchange Market by Application
• 10.4 Middle Eastern Big Data Exchange Market
• 10.5 South American Big Data Exchange Market
• 10.6 African Big Data Exchange Market

11. Competitor Analysis

• 11.1 Product Portfolio Analysis
• 11.2 Operational Integration
• 11.3 Porter's Five Forces Analysis
  • Competitive Rivalry
  • Bargaining Power of Buyers
  • Bargaining Power of Suppliers
  • Threat of Substitutes
  • Threat of New Entrants
• 11.4 Market Share Analysis

12. Opportunities & Strategic Analysis

• 12.1 Value Chain Analysis
• 12.2 Growth Opportunity Analysis
  • 12.2.1 Growth Opportunities by Type
  • 12.2.2 Growth Opportunities by Application
• 12.3 Emerging Trends in the Global Big Data Exchange Market
• 12.4 Strategic Analysis
  • 12.4.1 New Product Development
  • 12.4.2 Certification and Licensing
  • 12.4.3 Mergers, Acquisitions, Agreements, Collaborations, and Joint Ventures

13. Company Profiles of the Leading Players Across the Value Chain

• 13.1 Competitive Analysis
• 13.2 Amazon Web Services (AWS)
  • Company Overview
  • Big Data Exchange Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
• 13.3 Microsoft Azure
  • Company Overview
  • Big Data Exchange Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
• 13.4 Google Cloud Platform (GCP)
  • Company Overview
  • Big Data Exchange Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
• 13.5 IBM
  • Company Overview
  • Big Data Exchange Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
• 13.6 Oracle
  • Company Overview
  • Big Data Exchange Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
• 13.7 Cloudera
  • Company Overview
  • Big Data Exchange Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing
• 13.8 Snowflake
  • Company Overview
  • Big Data Exchange Business Overview
  • New Product Development
  • Merger, Acquisition, and Collaboration
  • Certification and Licensing

14. Appendix

• 14.1 List of Figures
• 14.2 List of Tables
• 14.3 Research Methodology
• 14.4 Disclaimer
• 14.5 Copyright
• 14.6 Abbreviations and Technical Units
• 14.7 About Us
• 14.8 Contact Us