How to speed up data processing when extracting from a large cell array?

I am dealing with a large cell array (e.g., 3826341x1 cell). I would like merge the data or matrix from each cell. Using 'cell2mat' takes so much of time. Is there any alternative to cell2mat to process the data faster? Any leads will be highly appreciated. Thanks.

[Ive J]

What about vertcat

mycell = {2, 3, 4}

mycell = 1×3 cell array
    {[2]}    {[3]}    {[4]}

mymat = vertcat(mycell{:})

mymat = 3×1

2 3 4

[Raju Kumar]

Thanks @Ive J. I have also checked using vertcat. It does reduce the processing time but not significantly. I think the array is quite huge.

[Dyuman Joshi]

It would be better if you can attach a sample of your data, so that we can know how the data is stored inside the cell.

[Raju Kumar]

Hi @Dyuman Joshi, I have attached a file of small size. The actaul file is a way bigger, but can not be uploadded here because Matlab allows only up to 5MB.

[Dyuman Joshi]

With the inbuilt functions, vertcat is the fastest option.

load('array.mat')
whos

  Name                     Size               Bytes  Class    Attributes

  alphaClusterAll      14879x1             24311128  cell               
  ans                      1x34                  68  char               
  cmdout                   1x33                  66  char               

f1=@(x) cell2mat(x);
f2=@(x) vertcat(x{:});
f3=@(x) cat(1,x{:});

F1 = @()f1(alphaClusterAll);
F2 = @()f2(alphaClusterAll);
F3 = @()f3(alphaClusterAll);

fprintf('Time taken by cell2mat = %f seconds', timeit(F1))

Time taken by cell2mat = 0.009412 seconds

fprintf('Time taken by vertcat = %f seconds', timeit(F2))

Time taken by vertcat = 0.003332 seconds

fprintf('Time taken by cat = %f seconds', timeit(F3))

Time taken by cat = 0.005746 seconds

isequal(F1(),F2(),F3())

ans = logical
   1

You can try this FEX submission - Cell2Vec