In the epoch of Web 3.0，data has emerged as the pivotal force propelling social and economic advancements. Nevertheless，its exponential proliferation and intricate nature pose formidable obstacles to safeguarding privacy. Privacy computing technology，as a nascent solution，endeavors to process data with unparalleled efficiency and security，yet confronts hurdles in bolstering processing capacities，refining operational efficiency，and fostering cross-sectoral integration. To surmount these challenges，the exploration of novel algorithms and architectural paradigms，encompassing distributed and edge computing methodologies，is imperative. Furthermore，the seamless integration of cutting-edge technologies such as blockchain and artificial intelligence is paramount to fostering a secure and intelligent digital ecosystem. Concurrently，the significance of standardization and regulatory frameworks cannot be overstated. They necessitate collaborative efforts from diverse stakeholders to guarantee seamless technology interoperability. Compelled by regulatory compliance，privacy computing technology must rigorously adhere to legal frameworks，thus fortifying the bedrock of data security. On the other hand，market dynamics drive relentless technological innovation and industrialization，expediting the widespread adoption of privacy computing across diverse sectors，including finance，healthcare，and government services. Prospectively，privacy computing technology，fortified by robust legal and technological safeguards，will usher in an era of enhanced internet security and privacy for users. It stands poised to contribute significantly to the flourishing of the digital economy and propel society towards an even more luminous future.