This data set consists of a balanced panel of 432 manufacturing companies listed in MSCI KLD 400 Social Index over the years 2015–2018. We use the MSCI KLD 400 Social Index dataset for circular performance information.We use the Wharton Research Data Services’ COMPUSTAT dataset for corporate financial information.For blockchain adoption we use an indicator variable, such as the annual number of blockchain-related news items is nonzero, 0 otherwise. The number of blockchain-related news items are extracted from LexisNexis database.

Database Security Market Analysis The global database security market is projected to reach a value of $36.53 billion by 2033, exhibiting a CAGR of 11.22% during the forecast period from 2025 to 2033. The growing adoption of cloud-based databases, the increasing frequency of cyberattacks, and the stringent regulatory compliance requirements are primarily driving this market. Key trends include the adoption of artificial intelligence (AI) and machine learning (ML) for enhanced security, the shift towards decentralized database architectures, and the integration of blockchain technology to strengthen data integrity. The market is segmented based on security type, deployment model, database type, organization size, and industry vertical. The on-premises segment currently dominates the market but is expected to lose share to the cloud-based segment due to its scalability, flexibility, and cost-effectiveness. The banking, financial services, and insurance (BFSI) vertical accounts for the largest share of the market due to its high sensitivity to data breaches. Major industry players include Palo Alto Networks, FireEye, Informatica, Oracle, Microsoft, Check Point Software Technologies, Imperva, Symantec, Sourcefire, McAfee, IBM, Trend Micro, Fortinet, and Websense. North America holds the largest regional market share, followed by Europe and Asia Pacific. The global database security market is anticipated to reach $29.92 billion by 2028, registering a CAGR of 10.3% from 2022 to 2028. The growing adoption of cloud-based database services and the increasing number of cyberattacks are primarily driving the growth of this market. Key drivers for this market are: Cloud Adoption Data Governance and Compliance Artificial Intelligence Integration Growing Use of Personal Devices Need for Threat Protection . Potential restraints include: Increased cloud adoption Growing data volumes Rise of ransomware attacks Demand for regulatory compliance Advanced persistent threats .

The global in-memory database market size was valued at USD 10.5643 billion in 2025 and is projected to grow at a compound annual growth rate (CAGR) of 16.19% during the forecast period (2025-2033). The growth of the market is attributed to the increasing adoption of in-memory databases in various industries to improve data processing speed and performance. In-memory databases store data in the computer's main memory (RAM) instead of on a physical disk, which allows for faster data access and retrieval. Key market drivers include the growing volume of data, the need for real-time data analysis, and the increasing adoption of cloud computing. The growing volume of data, often referred to as "big data," is a significant factor driving market growth. The need for real-time data analysis is another key driver, as in-memory databases can provide faster data access than traditional databases. The increasing adoption of cloud computing is also driving market growth, as cloud-based in-memory databases offer scalability and flexibility. Recent developments include: March 2023: SAP revealed SAP Datasphere, the company's next-gen data management system. It gives customers easy access to business-ready data across the data landscape. SAP also announced strategic agreements with top data and AI companies, including Collibra NV, Confluent Inc., Databricks Inc., and DataRobot Inc., to improve SAP Datasphere and allow organizations to build a unified data architecture that securely combines SAP software data and non-SAP data., June 2023: IBM has released a new tool to aid corporations in monitoring their carbon footprint pollution across cloud services and improve their sustainability as they move to hybrid and multi-cloud environments. The IBM Cloud Carbon Calculator, an AI-powered dashboard, is now available to everyone. It can help clients access emissions data for various IBM Cloud tasks, such as AI, high-performance computing (HPC), and financial services., SingleStoreDB for December 2022 was announced last year by IBM and SingleStore. With IBM introducing SingleStoreDB as a solution, businesses are now moving forward in their strategic relationship to deliver the quickest, most scalable data platform that supports data-intensive programs. For Azure, AWS, and Microsoft Azure marketplace, IBM has released SingleStoreDB as a service., In April 2022, McObject issued the eXtremeDB/rt database management system (DBMS) for Green Hills Software’s Integrity RTOS. The first-ever commercial off-the-shelf (COTS) real-time DBMS satisfying basic criteria of temporal and deterministic consistency in data is known as eXtremeDB/rt. It was initially conceived and built as an integrated in-memory database system for embedded systems., November 2022: Redis, provider of real-time in-memory databases, and Amazon Web Services have formed a multi-year strategic alliance. It is a networked open-source NoSQL system that stores data on disk for durability before moving it to DRAM as required. As such, it can be used as a message broker cache, streaming engine, or database., December 2022: The largest Indian stock exchange, National Stock Exchange, opted for Raima Database Manager (RDM) Workgroup 12.0 In-Memory System as its foundational component for upcoming versions of its trading platform front-end called National Exchange for Automated Trading (NEAT)., On January 13th, 2021, Oracle launched Oracle Database 21c – the latest version of the world’s leading converged database available on Oracle Cloud with the Always Free tier of Oracle Autonomous Database included. It includes more than two hundred new features, according to Oracle’s press release, including immutable blockchain tables; In-Database JavaScript; native JSON binary data type; AutoML for in-database machine learning (ML); persistent memory store; enhancements, including improvements regarding graph processing performance that support sharding, multitenant, and security., Stanford engineers have developed a new chip to increase the efficiency of AI computing in August 2022. Stanford engineers have created a more efficient and flexible AI chip that could bring the power of AI into tiny edge devices., In-Memory Database Market Segmentation,

Relational

NoSQL

NewSQL

,

Online Analytical Processing (OLAP)

Online Transaction Processing (OLTP)

,

Transaction

Reporting

Analytics

,

North America

US

Canada

Europe

Germany

France

UK

Italy

Spain

Rest of Europe

Asia-Pacific

China

Japan

India

Australia

South Korea

Australia

Rest of Asia-Pacific

Rest of the World

Middle East

Africa

Latin America

, . Potential restraints include: Security And Data Privacy Concerns 26.

Self-Sovereign Identity (SSI) Market size was valued at USD 1.1 Billion in 2024 and is projected to reach USD 11.78 Billion by 2032, growing at a CAGR of 34.5% from 2026 to 2032.

Global Self-Sovereign Identity (SSI) Market Drivers

Rising Demand for Data Privacy and Security: One of the primary drivers of the SSI market is the growing awareness and demand for data privacy and security. With increasing cases of data breaches and unauthorized access to sensitive information, users are seeking more secure and transparent ways to manage their identities. Regulations like GDPR and CCPA are reinforcing the importance of privacy, encouraging organizations to adopt decentralized identity solutions. SSI gives users full control over their personal data, reducing the risks associated with centralized databases.

Growing Adoption of Blockchain Technology: Blockchain technology is at the core of SSI systems, enabling the creation of verifiable, tamper-proof digital identities. The rapid adoption of blockchain in various sectors, including finance, healthcare, and supply chain, is accelerating the growth of SSI. Decentralized ledger technology ensures data integrity and eliminates the need for intermediaries, making SSI a cost-effective and secure solution for identity verification.

Digital Transformation Initiatives: The rise of digital transformation across industries is pushing organizations to modernize their identity management systems. Governments, enterprises, and financial institutions are exploring SSI solutions to streamline identity verification processes, enhance customer experiences, and reduce fraud. As digital services become the norm, the need for secure and user-centric identity systems is driving the SSI market forward.