Regarding Postgres - Insertion Time Getting Increased As Data Volume is getting increased

The below are the scenarios which we are dealing with.

1) There are 20 Tables - On an average each having 150 columns.

2) There are 20 Threads Handled by Thread Pool Executor ( here we are using Python's - psycopg2 module / library to  fetch the data .)

3) I am using the below statement to insert the data using Python - psycopg2 module - using the exceute(...) command as .

sql_stmt = "INSERT INTO " + name_Table + final_col_string + "VALUES" + str(tuple(array_of_curly_values))
print('Sql statement', sql_stmt)col_cursor_db = db_conn.cursor()
v = col_cursor_db.execute(sql_stmt);

But earlier the same 22 threads were running and the insertion time was gradually increased from 1 second to 30-35 seconds.

Requesting and urging the postgres general support team to help me out on this.

How can i increase the INSERTION speed to minimize the insertion time taken by each thread in the THREAD POOL.

Or there any different python libraries other than psycopg2 ?

Is there any different functions in python psycopg2 ?

Or what performance tuning has to be done to increaser the insertion speed ?