The graph technology landscape is expected to continue growing rapidly in 2023, with major milestones including the adoption of graph databases as a first choice for businesses solving complex data problems. Graph data science and machine learning will also play a significant role, enabling more accurate predictive models and unlocking new insights from graph-structured data. The growth of graph technology will be driven by its ability to handle complex domain models and provide valuable benefits such as improved scalability, efficiency, and resilience. As the industry continues to evolve, Neo4j's Chief Scientist Jim Webber expects to see significant advancements in graph computing, with a focus on making it more accessible and user-friendly for businesses of all sizes. With the rise of Asia-Pacific markets, particularly India and Indonesia, Neo4j is well-positioned to capitalize on this growth and provide its expertise to help businesses unlock the power of graphs.